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+{"done_reason": "terminated", "env_id": 142, "episode_idx": 22, "latency_raw_frames": 6, "length": 7551, "raw_frames": 45306, "raw_return": 24985.0, "return": 24985.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 23, "episode_idx": 23, "latency_raw_frames": 5, "length": 3167, "raw_frames": 19002, "raw_return": 7305.0, "return": 7305.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 429, "episode_idx": 23, "latency_raw_frames": 5, "length": 3338, "raw_frames": 20028, "raw_return": 8570.0, "return": 8570.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 46, "episode_idx": 22, "latency_raw_frames": 3, "length": 2973, "raw_frames": 17838, "raw_return": 7170.0, "return": 7170.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 185, "episode_idx": 25, "latency_raw_frames": 3, "length": 4920, "raw_frames": 29520, "raw_return": 16350.0, "return": 16350.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 292, "episode_idx": 23, "latency_raw_frames": 6, "length": 3345, "raw_frames": 20070, "raw_return": 10060.0, "return": 10060.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 341, "episode_idx": 23, "latency_raw_frames": 6, "length": 3822, "raw_frames": 22932, "raw_return": 10295.0, "return": 10295.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 394, "episode_idx": 22, "latency_raw_frames": 4, "length": 3778, "raw_frames": 22668, "raw_return": 9915.0, "return": 9915.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 411, "episode_idx": 23, "latency_raw_frames": 6, "length": 4179, "raw_frames": 25074, "raw_return": 13190.0, "return": 13190.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 492, "episode_idx": 24, "latency_raw_frames": 5, "length": 5886, "raw_frames": 35316, "raw_return": 23550.0, "return": 23550.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 390, "episode_idx": 25, "latency_raw_frames": 5, "length": 3451, "raw_frames": 20706, "raw_return": 10005.0, "return": 10005.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 461, "episode_idx": 24, "latency_raw_frames": 6, "length": 6068, "raw_frames": 36408, "raw_return": 25420.0, "return": 25420.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 83, "episode_idx": 24, "latency_raw_frames": 6, "length": 6000, "raw_frames": 36000, "raw_return": 21005.0, "return": 21005.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 123, "episode_idx": 25, "latency_raw_frames": 5, "length": 4011, "raw_frames": 24066, "raw_return": 11500.0, "return": 11500.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 302, "episode_idx": 23, "latency_raw_frames": 4, "length": 4829, "raw_frames": 28974, "raw_return": 16850.0, "return": 16850.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 188, "episode_idx": 22, "latency_raw_frames": 5, "length": 6892, "raw_frames": 41352, "raw_return": 25205.0, "return": 25205.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 45, "episode_idx": 24, "latency_raw_frames": 5, "length": 3407, "raw_frames": 20442, "raw_return": 9885.0, "return": 9885.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 261, "episode_idx": 23, "latency_raw_frames": 6, "length": 5468, "raw_frames": 32808, "raw_return": 19150.0, "return": 19150.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 364, "episode_idx": 22, "latency_raw_frames": 5, "length": 3547, "raw_frames": 21282, "raw_return": 9825.0, "return": 9825.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 47, "episode_idx": 20, "latency_raw_frames": 6, "length": 3371, "raw_frames": 20226, "raw_return": 9390.0, "return": 9390.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 253, "episode_idx": 21, "latency_raw_frames": 4, "length": 3659, "raw_frames": 21954, "raw_return": 9565.0, "return": 9565.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 77, "episode_idx": 26, "latency_raw_frames": 4, "length": 3328, "raw_frames": 19968, "raw_return": 9795.0, "return": 9795.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 434, "episode_idx": 23, "latency_raw_frames": 3, "length": 3968, "raw_frames": 23808, "raw_return": 9490.0, "return": 9490.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 155, "episode_idx": 23, "latency_raw_frames": 5, "length": 2917, "raw_frames": 17502, "raw_return": 8255.0, "return": 8255.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 305, "episode_idx": 22, "latency_raw_frames": 4, "length": 4052, "raw_frames": 24312, "raw_return": 11830.0, "return": 11830.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 57, "episode_idx": 22, "latency_raw_frames": 4, "length": 3990, "raw_frames": 23940, "raw_return": 10030.0, "return": 10030.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 498, "episode_idx": 22, "latency_raw_frames": 4, "length": 3740, "raw_frames": 22440, "raw_return": 13130.0, "return": 13130.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 476, "episode_idx": 23, "latency_raw_frames": 5, "length": 7441, "raw_frames": 44646, "raw_return": 23340.0, "return": 23340.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 356, "episode_idx": 24, "latency_raw_frames": 5, "length": 3715, "raw_frames": 22290, "raw_return": 9945.0, "return": 9945.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 270, "episode_idx": 23, "latency_raw_frames": 5, "length": 3843, "raw_frames": 23058, "raw_return": 12460.0, "return": 12460.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 29, "episode_idx": 21, "latency_raw_frames": 5, "length": 3380, "raw_frames": 20280, "raw_return": 10195.0, "return": 10195.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 187, "episode_idx": 20, "latency_raw_frames": 5, "length": 3274, "raw_frames": 19644, "raw_return": 8865.0, "return": 8865.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 35, "episode_idx": 21, "latency_raw_frames": 5, "length": 2799, "raw_frames": 16794, "raw_return": 7735.0, "return": 7735.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 91, "episode_idx": 25, "latency_raw_frames": 4, "length": 3991, "raw_frames": 23946, "raw_return": 12690.0, "return": 12690.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 386, "episode_idx": 24, "latency_raw_frames": 3, "length": 3543, "raw_frames": 21258, "raw_return": 9730.0, "return": 9730.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 116, "episode_idx": 22, "latency_raw_frames": 3, "length": 4711, "raw_frames": 28266, "raw_return": 14870.0, "return": 14870.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 401, "episode_idx": 23, "latency_raw_frames": 3, "length": 3049, "raw_frames": 18294, "raw_return": 8640.0, "return": 8640.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 5, "episode_idx": 23, "latency_raw_frames": 3, "length": 2675, "raw_frames": 16050, "raw_return": 6690.0, "return": 6690.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 208, "episode_idx": 26, "latency_raw_frames": 3, "length": 3366, "raw_frames": 20196, "raw_return": 8860.0, "return": 8860.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 353, "episode_idx": 26, "latency_raw_frames": 6, "length": 4189, "raw_frames": 25134, "raw_return": 13985.0, "return": 13985.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 483, "episode_idx": 24, "latency_raw_frames": 3, "length": 3810, "raw_frames": 22860, "raw_return": 12310.0, "return": 12310.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 490, "episode_idx": 21, "latency_raw_frames": 3, "length": 3751, "raw_frames": 22506, "raw_return": 9575.0, "return": 9575.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 199, "episode_idx": 25, "latency_raw_frames": 3, "length": 2697, "raw_frames": 16182, "raw_return": 6940.0, "return": 6940.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 235, "episode_idx": 24, "latency_raw_frames": 5, "length": 4131, "raw_frames": 24786, "raw_return": 13250.0, "return": 13250.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 428, "episode_idx": 22, "latency_raw_frames": 6, "length": 3503, "raw_frames": 21018, "raw_return": 9565.0, "return": 9565.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 16, "episode_idx": 22, "latency_raw_frames": 6, "length": 5356, "raw_frames": 32136, "raw_return": 19370.0, "return": 19370.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 250, "episode_idx": 22, "latency_raw_frames": 6, "length": 4602, "raw_frames": 27612, "raw_return": 11820.0, "return": 11820.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 505, "episode_idx": 22, "latency_raw_frames": 5, "length": 6305, "raw_frames": 37830, "raw_return": 24410.0, "return": 24410.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 455, "episode_idx": 22, "latency_raw_frames": 5, "length": 3648, "raw_frames": 21888, "raw_return": 9735.0, "return": 9735.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 400, "episode_idx": 26, "latency_raw_frames": 3, "length": 4078, "raw_frames": 24468, "raw_return": 12090.0, "return": 12090.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 17, "episode_idx": 21, "latency_raw_frames": 4, "length": 4500, "raw_frames": 27000, "raw_return": 12140.0, "return": 12140.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 102, "episode_idx": 22, "latency_raw_frames": 6, "length": 5532, "raw_frames": 33192, "raw_return": 19830.0, "return": 19830.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 348, "episode_idx": 25, "latency_raw_frames": 4, "length": 5383, "raw_frames": 32298, "raw_return": 18190.0, "return": 18190.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 420, "episode_idx": 22, "latency_raw_frames": 4, "length": 7627, "raw_frames": 45762, "raw_return": 28295.0, "return": 28295.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
+{"done_reason": "terminated", "env_id": 340, "episode_idx": 20, "latency_raw_frames": 6, "length": 3386, "raw_frames": 20316, "raw_return": 9335.0, "return": 9335.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0}
diff --git a/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:uniform_u2_6:fs4:obs10:stride6:seed14/git.diff b/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:uniform_u2_6:fs4:obs10:stride6:seed14/git.diff
index e31c2cc4acb38cc525638b8a634a718663a6e545..6b0a28eb57ace58363ce8ce0aafa46e1b6cc8c35 100644
--- a/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:uniform_u2_6:fs4:obs10:stride6:seed14/git.diff
+++ b/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:uniform_u2_6:fs4:obs10:stride6:seed14/git.diff
@@ -1,13 +1,7 @@
-diff --git a/training/demon_attack_sf/integration.py b/training/demon_attack_sf/integration.py
-index 8a526a6..8e90903 100644
---- a/training/demon_attack_sf/integration.py
-+++ b/training/demon_attack_sf/integration.py
-@@ -344,7 +344,7 @@ def build_cli_args_from_config(config: dict) -> list[str]:
-     append_cli_arg(args, "--clip_reward", env_cfg["clip_reward"])
-     append_cli_arg(args, "--repeat_action_probability", env_cfg["repeat_action_probability"])
-     append_cli_arg(args, "--full_action_space", env_cfg["full_action_space"])
--    append_cli_arg(args, "--max_episode_steps", env_cfg["max_episode_steps"])
-+    append_cli_arg(args, "--max_episode_steps", env_cfg.get("max_episode_steps"))
-     append_cli_arg(args, "--simulator", env_cfg["simulator"])
-     append_cli_arg(args, "--gpu-env-device", env_cfg["gpu_env_device"])
-     # --gpu-env-batch-size is emitted centrally in build_common_sf_args from num_envs_per_worker.
+diff --git a/starVLA b/starVLA
+index 538fd52..9d8c567 160000
+--- a/starVLA
++++ b/starVLA
+@@ -1 +1 @@
+-Subproject commit 538fd523fe4fa4e7abce3201611919314bc6b664
++Subproject commit 9d8c567188a3aa2a825296016cf17f3977101d8f
diff --git a/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:uniform_u2_6:fs4:obs10:stride6:seed14/sf_log.txt b/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:uniform_u2_6:fs4:obs10:stride6:seed14/sf_log.txt
index a133344d7f325e5153a60479f5ef146ddbc1d6d6..53615bff0c5aa3ab1cdf0fe3dcc5b315e61c4241 100644
--- a/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:uniform_u2_6:fs4:obs10:stride6:seed14/sf_log.txt
+++ b/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:uniform_u2_6:fs4:obs10:stride6:seed14/sf_log.txt
@@ -1,26 +1,26 @@
-[2026-06-03 02:29:35,311][694701] Saving configuration to results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed14/config.json...
-[2026-06-03 02:29:35,378][694701] Using GPUs [0] for process 0 (actually maps to GPUs [0])
-[2026-06-03 02:29:35,379][694701] Rollout worker 0 uses device cuda:0
-[2026-06-03 02:29:36,181][694701] Using GPUs [0] for process 0 (actually maps to GPUs [0])
-[2026-06-03 02:29:36,181][694701] InferenceWorker_p0-w0: min num requests: 1
-[2026-06-03 02:29:36,186][694701] Using GPUs [0] for process 0 (actually maps to GPUs [0])
-[2026-06-03 02:29:36,187][694701] Starting all processes...
-[2026-06-03 02:29:36,187][694701] Starting process learner_proc0
-[2026-06-03 02:29:37,225][694701] Starting all processes...
-[2026-06-03 02:29:37,229][694701] Starting process inference_proc0-0
-[2026-06-03 02:29:37,229][694701] Starting process rollout_proc0
-[2026-06-03 02:29:37,718][695578] Using GPUs [0] for process 0 (actually maps to GPUs [0])
-[2026-06-03 02:29:37,718][695578] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for learning process 0
-[2026-06-03 02:29:37,719][695578] Num visible devices: 1
-[2026-06-03 02:29:37,719][695578] Setting fixed seed 14
-[2026-06-03 02:29:37,720][695578] Using GPUs [0] for process 0 (actually maps to GPUs [0])
-[2026-06-03 02:29:37,720][695578] Initializing actor-critic model on device cuda:0
-[2026-06-03 02:29:37,720][695578] RunningMeanStd input shape: (4, 84, 84)
-[2026-06-03 02:29:37,747][695578] RunningMeanStd input shape: (1,)
-[2026-06-03 02:29:37,755][695578] ConvEncoder: input_channels=4
-[2026-06-03 02:29:37,816][695578] Conv encoder output size: 512
-[2026-06-03 02:29:37,817][695578] Created Actor Critic model with architecture:
-[2026-06-03 02:29:37,817][695578] ActorCriticSharedWeights(
+[2026-06-04 14:43:25,648][648971] Saving configuration to results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed14/config.json...
+[2026-06-04 14:43:25,715][648971] Using GPUs [0] for process 0 (actually maps to GPUs [4])
+[2026-06-04 14:43:25,715][648971] Rollout worker 0 uses device cuda:0
+[2026-06-04 14:43:26,602][648971] Using GPUs [0] for process 0 (actually maps to GPUs [4])
+[2026-06-04 14:43:26,602][648971] InferenceWorker_p0-w0: min num requests: 1
+[2026-06-04 14:43:26,607][648971] Using GPUs [0] for process 0 (actually maps to GPUs [4])
+[2026-06-04 14:43:26,608][648971] Starting all processes...
+[2026-06-04 14:43:26,608][648971] Starting process learner_proc0
+[2026-06-04 14:43:27,693][648971] Starting all processes...
+[2026-06-04 14:43:27,697][648971] Starting process inference_proc0-0
+[2026-06-04 14:43:27,697][648971] Starting process rollout_proc0
+[2026-06-04 14:43:28,191][649901] Using GPUs [0] for process 0 (actually maps to GPUs [4])
+[2026-06-04 14:43:28,191][649901] Set environment var CUDA_VISIBLE_DEVICES to '4' (GPU indices [0]) for learning process 0
+[2026-06-04 14:43:28,191][649901] Num visible devices: 1
+[2026-06-04 14:43:28,192][649901] Setting fixed seed 14
+[2026-06-04 14:43:28,193][649901] Using GPUs [0] for process 0 (actually maps to GPUs [4])
+[2026-06-04 14:43:28,193][649901] Initializing actor-critic model on device cuda:0
+[2026-06-04 14:43:28,193][649901] RunningMeanStd input shape: (4, 84, 84)
+[2026-06-04 14:43:28,201][649901] RunningMeanStd input shape: (1,)
+[2026-06-04 14:43:28,209][649901] ConvEncoder: input_channels=4
+[2026-06-04 14:43:28,270][649901] Conv encoder output size: 512
+[2026-06-04 14:43:28,271][649901] Created Actor Critic model with architecture:
+[2026-06-04 14:43:28,271][649901] ActorCriticSharedWeights(
   (obs_normalizer): ObservationNormalizer(
     (running_mean_std): RunningMeanStdDictInPlace(
       (running_mean_std): ModuleDict(
@@ -61,1843 +61,1986 @@
     (distribution_linear): Linear(in_features=512, out_features=6, bias=True)
   )
 )
-[2026-06-03 02:29:37,820][695578] Using optimizer <class 'torch.optim.adam.Adam'>
-[2026-06-03 02:29:38,558][695578] No checkpoints found
-[2026-06-03 02:29:38,558][695578] Did not load from checkpoint, starting from scratch!
-[2026-06-03 02:29:38,558][695578] Initialized policy 0 weights for model version 0
-[2026-06-03 02:29:38,566][695578] LearnerWorker_p0 finished initialization!
-[2026-06-03 02:29:38,566][695578] Using GPUs [0] for process 0 (actually maps to GPUs [0])
-[2026-06-03 02:29:39,044][695649] Worker 0 uses CPU cores [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383]
-[2026-06-03 02:29:39,045][695649] Using GPUs [0] for process 0 (actually maps to GPUs [0])
-[2026-06-03 02:29:39,045][695649] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for actor process 0
-[2026-06-03 02:29:39,045][695649] Num visible devices: 1
-[2026-06-03 02:29:39,070][695648] Using GPUs [0] for process 0 (actually maps to GPUs [0])
-[2026-06-03 02:29:39,070][695648] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for inference process 0
-[2026-06-03 02:29:39,071][695648] Num visible devices: 1
-[2026-06-03 02:29:39,072][695648] RunningMeanStd input shape: (4, 84, 84)
-[2026-06-03 02:29:39,103][695648] RunningMeanStd input shape: (1,)
-[2026-06-03 02:29:39,110][695648] ConvEncoder: input_channels=4
-[2026-06-03 02:29:39,170][695648] Conv encoder output size: 512
-[2026-06-03 02:29:39,176][694701] Inference worker 0-0 is ready!
-[2026-06-03 02:29:39,177][694701] All inference workers are ready! Signal rollout workers to start!
-[2026-06-03 02:29:39,177][695649] EnvRunner 0-0 uses policy 0
-[2026-06-03 02:29:42,051][695578] Signal inference workers to stop experience collection...
-[2026-06-03 02:29:42,077][695648] InferenceWorker_p0-w0: stopping experience collection
-[2026-06-03 02:29:42,187][694701] Fps is (10 sec: nan, 60 sec: nan, 300 sec: nan). Total num frames: 0. Throughput: 0: nan. Samples: 33792. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
-[2026-06-03 02:29:43,147][695578] Signal inference workers to resume experience collection...
-[2026-06-03 02:29:43,148][695648] InferenceWorker_p0-w0: resuming experience collection
-[2026-06-03 02:29:45,399][695648] Updated weights for policy 0, policy_version 80 (0.0034)
-[2026-06-03 02:29:47,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13107.2, 300 sec: 13107.2). Total num frames: 65536. Throughput: 0: 6246.4. Samples: 65024. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:29:47,188][694701] Avg episode reward: [(0, '34.615')]
-[2026-06-03 02:29:47,942][695648] Updated weights for policy 0, policy_version 160 (0.0010)
-[2026-06-03 02:29:50,613][695648] Updated weights for policy 0, policy_version 226 (0.0010)
-[2026-06-03 02:29:52,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13107.2, 300 sec: 13107.2). Total num frames: 131072. Throughput: 0: 10700.8. Samples: 140800. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0)
-[2026-06-03 02:29:52,188][694701] Avg episode reward: [(0, '59.437')]
-[2026-06-03 02:29:52,190][695578] Saving new best policy, reward=59.437!
-[2026-06-03 02:29:53,207][695648] Updated weights for policy 0, policy_version 291 (0.0011)
-[2026-06-03 02:29:56,046][695648] Updated weights for policy 0, policy_version 384 (0.0011)
-[2026-06-03 02:29:56,167][694701] Heartbeat connected on Batcher_0
-[2026-06-03 02:29:56,172][694701] Heartbeat connected on LearnerWorker_p0
-[2026-06-03 02:29:56,205][694701] Heartbeat connected on RolloutWorker_w0
-[2026-06-03 02:29:56,207][694701] Heartbeat connected on InferenceWorker_p0-w0
-[2026-06-03 02:29:57,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13107.2, 300 sec: 13107.2). Total num frames: 196608. Throughput: 0: 9659.7. Samples: 178688. Policy #0 lag: (min: 9.0, avg: 13.9, max: 73.0)
-[2026-06-03 02:29:57,188][694701] Avg episode reward: [(0, '91.200')]
-[2026-06-03 02:29:57,191][695578] Saving new best policy, reward=91.200!
-[2026-06-03 02:30:01,335][695648] Updated weights for policy 0, policy_version 464 (0.0011)
-[2026-06-03 02:30:02,187][694701] Fps is (10 sec: 13107.1, 60 sec: 13107.2, 300 sec: 13107.2). Total num frames: 262144. Throughput: 0: 10803.2. Samples: 249856. Policy #0 lag: (min: 11.0, avg: 14.2, max: 75.0)
-[2026-06-03 02:30:02,188][694701] Avg episode reward: [(0, '115.700')]
-[2026-06-03 02:30:02,193][695578] Saving new best policy, reward=115.700!
-[2026-06-03 02:30:04,396][695648] Updated weights for policy 0, policy_version 560 (0.0011)
-[2026-06-03 02:30:07,187][694701] Fps is (10 sec: 11468.8, 60 sec: 12451.8, 300 sec: 12451.8). Total num frames: 311296. Throughput: 0: 11427.8. Samples: 319488. Policy #0 lag: (min: 6.0, avg: 9.9, max: 70.0)
-[2026-06-03 02:30:07,188][694701] Avg episode reward: [(0, '133.850')]
-[2026-06-03 02:30:07,430][695578] Saving new best policy, reward=133.850!
-[2026-06-03 02:30:07,462][695648] Updated weights for policy 0, policy_version 640 (0.0010)
-[2026-06-03 02:30:12,187][694701] Fps is (10 sec: 9830.5, 60 sec: 12014.9, 300 sec: 12014.9). Total num frames: 360448. Throughput: 0: 10666.7. Samples: 353792. Policy #0 lag: (min: 3.0, avg: 6.2, max: 67.0)
-[2026-06-03 02:30:12,188][694701] Avg episode reward: [(0, '144.200')]
-[2026-06-03 02:30:12,192][695578] Saving new best policy, reward=144.200!
-[2026-06-03 02:30:12,951][695648] Updated weights for policy 0, policy_version 738 (0.0011)
-[2026-06-03 02:30:15,914][695648] Updated weights for policy 0, policy_version 825 (0.0010)
-[2026-06-03 02:30:17,187][694701] Fps is (10 sec: 11468.8, 60 sec: 12171.0, 300 sec: 12171.0). Total num frames: 425984. Throughput: 0: 11132.3. Samples: 423424. Policy #0 lag: (min: 0.0, avg: 4.0, max: 64.0)
-[2026-06-03 02:30:17,188][694701] Avg episode reward: [(0, '144.050')]
-[2026-06-03 02:30:20,937][695648] Updated weights for policy 0, policy_version 900 (0.0010)
-[2026-06-03 02:30:22,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12288.0, 300 sec: 12288.0). Total num frames: 491520. Throughput: 0: 11520.0. Samples: 494592. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
-[2026-06-03 02:30:22,188][694701] Avg episode reward: [(0, '156.000')]
-[2026-06-03 02:30:22,192][695578] Saving new best policy, reward=156.000!
-[2026-06-03 02:30:23,737][695648] Updated weights for policy 0, policy_version 976 (0.0010)
-[2026-06-03 02:30:26,670][695648] Updated weights for policy 0, policy_version 1043 (0.0010)
-[2026-06-03 02:30:26,742][695578] Signal inference workers to stop experience collection... (50 times)
-[2026-06-03 02:30:26,772][695648] InferenceWorker_p0-w0: stopping experience collection (50 times)
-[2026-06-03 02:30:26,852][695578] Signal inference workers to resume experience collection... (50 times)
-[2026-06-03 02:30:26,852][695648] InferenceWorker_p0-w0: resuming experience collection (50 times)
-[2026-06-03 02:30:27,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12379.0, 300 sec: 12379.0). Total num frames: 557056. Throughput: 0: 11013.7. Samples: 529408. Policy #0 lag: (min: 8.0, avg: 12.5, max: 72.0)
-[2026-06-03 02:30:27,188][694701] Avg episode reward: [(0, '151.300')]
-[2026-06-03 02:30:29,559][695648] Updated weights for policy 0, policy_version 1123 (0.0009)
-[2026-06-03 02:30:32,187][694701] Fps is (10 sec: 10649.5, 60 sec: 11960.3, 300 sec: 11960.3). Total num frames: 598016. Throughput: 0: 11878.4. Samples: 599552. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0)
-[2026-06-03 02:30:32,188][694701] Avg episode reward: [(0, '182.200')]
-[2026-06-03 02:30:32,423][695578] Saving new best policy, reward=182.200!
-[2026-06-03 02:30:32,425][695648] Updated weights for policy 0, policy_version 1200 (0.0009)
-[2026-06-03 02:30:35,210][695648] Updated weights for policy 0, policy_version 1280 (0.0010)
-[2026-06-03 02:30:37,187][694701] Fps is (10 sec: 9830.4, 60 sec: 11915.6, 300 sec: 11915.6). Total num frames: 655360. Throughput: 0: 11821.5. Samples: 672768. Policy #0 lag: (min: 47.0, avg: 51.9, max: 111.0)
-[2026-06-03 02:30:37,188][694701] Avg episode reward: [(0, '153.500')]
-[2026-06-03 02:30:40,186][695648] Updated weights for policy 0, policy_version 1360 (0.0010)
-[2026-06-03 02:30:42,187][694701] Fps is (10 sec: 12288.0, 60 sec: 12014.9, 300 sec: 12014.9). Total num frames: 720896. Throughput: 0: 11798.8. Samples: 709632. Policy #0 lag: (min: 2.0, avg: 6.9, max: 66.0)
-[2026-06-03 02:30:42,188][694701] Avg episode reward: [(0, '168.100')]
-[2026-06-03 02:30:43,276][695648] Updated weights for policy 0, policy_version 1461 (0.0008)
-[2026-06-03 02:30:47,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 12099.0). Total num frames: 786432. Throughput: 0: 11810.2. Samples: 781312. Policy #0 lag: (min: 31.0, avg: 33.7, max: 95.0)
-[2026-06-03 02:30:47,188][694701] Avg episode reward: [(0, '153.200')]
-[2026-06-03 02:30:48,385][695648] Updated weights for policy 0, policy_version 1552 (0.0007)
-[2026-06-03 02:30:51,251][695648] Updated weights for policy 0, policy_version 1632 (0.0009)
-[2026-06-03 02:30:52,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 12171.0). Total num frames: 851968. Throughput: 0: 11867.0. Samples: 853504. Policy #0 lag: (min: 63.0, avg: 66.9, max: 127.0)
-[2026-06-03 02:30:52,188][694701] Avg episode reward: [(0, '155.100')]
-[2026-06-03 02:30:54,018][695648] Updated weights for policy 0, policy_version 1712 (0.0007)
-[2026-06-03 02:30:56,891][695648] Updated weights for policy 0, policy_version 1784 (0.0009)
-[2026-06-03 02:30:57,187][694701] Fps is (10 sec: 13107.1, 60 sec: 12014.9, 300 sec: 12233.4). Total num frames: 917504. Throughput: 0: 11889.8. Samples: 888832. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0)
-[2026-06-03 02:30:57,188][694701] Avg episode reward: [(0, '174.750')]
-[2026-06-03 02:31:02,146][695648] Updated weights for policy 0, policy_version 1874 (0.0010)
-[2026-06-03 02:31:02,187][694701] Fps is (10 sec: 10649.6, 60 sec: 11605.3, 300 sec: 11980.8). Total num frames: 958464. Throughput: 0: 11935.3. Samples: 960512. Policy #0 lag: (min: 10.0, avg: 12.7, max: 74.0)
-[2026-06-03 02:31:02,188][694701] Avg episode reward: [(0, '176.750')]
-[2026-06-03 02:31:04,889][695648] Updated weights for policy 0, policy_version 1938 (0.0009)
-[2026-06-03 02:31:07,187][694701] Fps is (10 sec: 9830.4, 60 sec: 11741.9, 300 sec: 11950.7). Total num frames: 1015808. Throughput: 0: 11946.7. Samples: 1032192. Policy #0 lag: (min: 10.0, avg: 12.7, max: 74.0)
-[2026-06-03 02:31:07,188][694701] Avg episode reward: [(0, '163.050')]
-[2026-06-03 02:31:07,966][695648] Updated weights for policy 0, policy_version 2035 (0.0010)
-[2026-06-03 02:31:10,782][695648] Updated weights for policy 0, policy_version 2110 (0.0009)
-[2026-06-03 02:31:12,187][694701] Fps is (10 sec: 12288.1, 60 sec: 12014.9, 300 sec: 12014.9). Total num frames: 1081344. Throughput: 0: 11969.4. Samples: 1068032. Policy #0 lag: (min: 4.0, avg: 8.9, max: 68.0)
-[2026-06-03 02:31:12,188][694701] Avg episode reward: [(0, '189.150')]
-[2026-06-03 02:31:12,192][695578] Saving new best policy, reward=189.150!
-[2026-06-03 02:31:13,103][695578] Signal inference workers to stop experience collection... (100 times)
-[2026-06-03 02:31:13,132][695648] InferenceWorker_p0-w0: stopping experience collection (100 times)
-[2026-06-03 02:31:13,215][695578] Signal inference workers to resume experience collection... (100 times)
-[2026-06-03 02:31:13,215][695648] InferenceWorker_p0-w0: resuming experience collection (100 times)
-[2026-06-03 02:31:15,829][695648] Updated weights for policy 0, policy_version 2192 (0.0010)
-[2026-06-03 02:31:17,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 12072.4). Total num frames: 1146880. Throughput: 0: 12026.3. Samples: 1140736. Policy #0 lag: (min: 5.0, avg: 8.8, max: 69.0)
-[2026-06-03 02:31:17,188][694701] Avg episode reward: [(0, '171.000')]
-[2026-06-03 02:31:18,977][695648] Updated weights for policy 0, policy_version 2288 (0.0011)
-[2026-06-03 02:31:21,780][695648] Updated weights for policy 0, policy_version 2363 (0.0008)
-[2026-06-03 02:31:22,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 12124.2). Total num frames: 1212416. Throughput: 0: 11980.8. Samples: 1211904. Policy #0 lag: (min: 11.0, avg: 13.7, max: 75.0)
-[2026-06-03 02:31:22,188][694701] Avg episode reward: [(0, '184.000')]
-[2026-06-03 02:31:27,001][695648] Updated weights for policy 0, policy_version 2480 (0.0008)
-[2026-06-03 02:31:27,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 12171.0). Total num frames: 1277952. Throughput: 0: 11935.3. Samples: 1246720. Policy #0 lag: (min: 8.0, avg: 12.7, max: 72.0)
-[2026-06-03 02:31:27,188][694701] Avg episode reward: [(0, '175.500')]
-[2026-06-03 02:31:29,855][695648] Updated weights for policy 0, policy_version 2560 (0.0011)
-[2026-06-03 02:31:32,187][694701] Fps is (10 sec: 9830.4, 60 sec: 11878.4, 300 sec: 11915.6). Total num frames: 1310720. Throughput: 0: 11958.0. Samples: 1319424. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0)
-[2026-06-03 02:31:32,188][694701] Avg episode reward: [(0, '194.150')]
-[2026-06-03 02:31:32,411][695578] Saving new best policy, reward=194.150!
-[2026-06-03 02:31:35,240][695648] Updated weights for policy 0, policy_version 2659 (0.0011)
-[2026-06-03 02:31:37,187][694701] Fps is (10 sec: 9830.4, 60 sec: 12014.9, 300 sec: 11967.4). Total num frames: 1376256. Throughput: 0: 11912.5. Samples: 1389568. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0)
-[2026-06-03 02:31:37,188][694701] Avg episode reward: [(0, '204.350')]
-[2026-06-03 02:31:37,192][695578] Saving new best policy, reward=204.350!
-[2026-06-03 02:31:38,029][695648] Updated weights for policy 0, policy_version 2736 (0.0011)
-[2026-06-03 02:31:40,823][695648] Updated weights for policy 0, policy_version 2810 (0.0011)
-[2026-06-03 02:31:42,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 12014.9). Total num frames: 1441792. Throughput: 0: 11969.4. Samples: 1427456. Policy #0 lag: (min: 6.0, avg: 11.0, max: 70.0)
-[2026-06-03 02:31:42,188][694701] Avg episode reward: [(0, '186.450')]
-[2026-06-03 02:31:43,647][695648] Updated weights for policy 0, policy_version 2880 (0.0010)
-[2026-06-03 02:31:47,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 12058.6). Total num frames: 1507328. Throughput: 0: 11969.4. Samples: 1499136. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0)
-[2026-06-03 02:31:47,188][694701] Avg episode reward: [(0, '189.250')]
-[2026-06-03 02:31:48,778][695648] Updated weights for policy 0, policy_version 2962 (0.0008)
-[2026-06-03 02:31:51,692][695648] Updated weights for policy 0, policy_version 3042 (0.0010)
-[2026-06-03 02:31:52,187][694701] Fps is (10 sec: 13107.1, 60 sec: 12014.9, 300 sec: 12098.9). Total num frames: 1572864. Throughput: 0: 11980.8. Samples: 1571328. Policy #0 lag: (min: 0.0, avg: 4.5, max: 64.0)
-[2026-06-03 02:31:52,188][694701] Avg episode reward: [(0, '187.050')]
-[2026-06-03 02:31:54,471][695648] Updated weights for policy 0, policy_version 3128 (0.0011)
-[2026-06-03 02:31:57,187][694701] Fps is (10 sec: 11468.8, 60 sec: 11741.9, 300 sec: 12014.9). Total num frames: 1622016. Throughput: 0: 12731.7. Samples: 1640960. Policy #0 lag: (min: 6.0, avg: 9.8, max: 70.0)
-[2026-06-03 02:31:57,188][694701] Avg episode reward: [(0, '186.000')]
-[2026-06-03 02:31:57,356][695648] Updated weights for policy 0, policy_version 3197 (0.0012)
-[2026-06-03 02:31:59,431][695578] Signal inference workers to stop experience collection... (150 times)
-[2026-06-03 02:31:59,459][695648] InferenceWorker_p0-w0: stopping experience collection (150 times)
-[2026-06-03 02:31:59,575][695578] Signal inference workers to resume experience collection... (150 times)
-[2026-06-03 02:31:59,576][695648] InferenceWorker_p0-w0: resuming experience collection (150 times)
-[2026-06-03 02:31:59,995][695648] Updated weights for policy 0, policy_version 3264 (0.0011)
-[2026-06-03 02:32:02,187][694701] Fps is (10 sec: 9830.5, 60 sec: 11878.4, 300 sec: 11936.9). Total num frames: 1671168. Throughput: 0: 11969.4. Samples: 1679360. Policy #0 lag: (min: 6.0, avg: 9.8, max: 70.0)
-[2026-06-03 02:32:02,188][694701] Avg episode reward: [(0, '217.900')]
-[2026-06-03 02:32:02,405][695578] Saving new best policy, reward=217.900!
-[2026-06-03 02:32:04,969][695648] Updated weights for policy 0, policy_version 3344 (0.0010)
-[2026-06-03 02:32:07,187][694701] Fps is (10 sec: 11468.9, 60 sec: 12015.0, 300 sec: 11977.3). Total num frames: 1736704. Throughput: 0: 11992.2. Samples: 1751552. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0)
-[2026-06-03 02:32:07,188][694701] Avg episode reward: [(0, '212.550')]
-[2026-06-03 02:32:07,842][695648] Updated weights for policy 0, policy_version 3424 (0.0011)
-[2026-06-03 02:32:10,752][695648] Updated weights for policy 0, policy_version 3509 (0.0010)
-[2026-06-03 02:32:12,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 12014.9). Total num frames: 1802240. Throughput: 0: 12037.7. Samples: 1788416. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0)
-[2026-06-03 02:32:12,188][694701] Avg episode reward: [(0, '210.350')]
-[2026-06-03 02:32:15,968][695648] Updated weights for policy 0, policy_version 3600 (0.0009)
-[2026-06-03 02:32:17,187][694701] Fps is (10 sec: 13107.1, 60 sec: 12014.9, 300 sec: 12050.2). Total num frames: 1867776. Throughput: 0: 12014.9. Samples: 1860096. Policy #0 lag: (min: 3.0, avg: 6.8, max: 67.0)
-[2026-06-03 02:32:17,188][694701] Avg episode reward: [(0, '193.100')]
-[2026-06-03 02:32:19,022][695648] Updated weights for policy 0, policy_version 3696 (0.0011)
-[2026-06-03 02:32:21,926][695648] Updated weights for policy 0, policy_version 3776 (0.0010)
-[2026-06-03 02:32:22,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 12083.2). Total num frames: 1933312. Throughput: 0: 12049.1. Samples: 1931776. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0)
-[2026-06-03 02:32:22,188][694701] Avg episode reward: [(0, '211.450')]
-[2026-06-03 02:32:27,110][695648] Updated weights for policy 0, policy_version 3859 (0.0011)
-[2026-06-03 02:32:27,187][694701] Fps is (10 sec: 10649.6, 60 sec: 11605.3, 300 sec: 11965.3). Total num frames: 1974272. Throughput: 0: 12743.1. Samples: 2000896. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0)
-[2026-06-03 02:32:27,188][694701] Avg episode reward: [(0, '195.050')]
-[2026-06-03 02:32:29,795][695648] Updated weights for policy 0, policy_version 3936 (0.0010)
-[2026-06-03 02:32:32,187][694701] Fps is (10 sec: 9830.4, 60 sec: 12014.9, 300 sec: 11950.7). Total num frames: 2031616. Throughput: 0: 11980.8. Samples: 2038272. Policy #0 lag: (min: 14.0, avg: 18.8, max: 78.0)
-[2026-06-03 02:32:32,188][694701] Avg episode reward: [(0, '189.400')]
-[2026-06-03 02:32:32,670][695648] Updated weights for policy 0, policy_version 4019 (0.0010)
-[2026-06-03 02:32:37,187][694701] Fps is (10 sec: 12288.0, 60 sec: 12014.9, 300 sec: 11983.7). Total num frames: 2097152. Throughput: 0: 11958.1. Samples: 2109440. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0)
-[2026-06-03 02:32:37,188][694701] Avg episode reward: [(0, '175.950')]
-[2026-06-03 02:32:38,033][695648] Updated weights for policy 0, policy_version 4112 (0.0010)
-[2026-06-03 02:32:40,699][695648] Updated weights for policy 0, policy_version 4176 (0.0011)
-[2026-06-03 02:32:42,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 12014.9). Total num frames: 2162688. Throughput: 0: 11218.5. Samples: 2145792. Policy #0 lag: (min: 5.0, avg: 10.0, max: 69.0)
-[2026-06-03 02:32:42,188][694701] Avg episode reward: [(0, '199.650')]
-[2026-06-03 02:32:43,521][695578] Signal inference workers to stop experience collection... (200 times)
-[2026-06-03 02:32:43,551][695648] InferenceWorker_p0-w0: stopping experience collection (200 times)
-[2026-06-03 02:32:43,631][695578] Signal inference workers to resume experience collection... (200 times)
-[2026-06-03 02:32:43,631][695648] InferenceWorker_p0-w0: resuming experience collection (200 times)
-[2026-06-03 02:32:43,633][695648] Updated weights for policy 0, policy_version 4272 (0.0012)
-[2026-06-03 02:32:46,482][695648] Updated weights for policy 0, policy_version 4339 (0.0011)
-[2026-06-03 02:32:47,187][694701] Fps is (10 sec: 13107.1, 60 sec: 12014.9, 300 sec: 12044.5). Total num frames: 2228224. Throughput: 0: 11946.7. Samples: 2216960. Policy #0 lag: (min: 4.0, avg: 8.5, max: 68.0)
-[2026-06-03 02:32:47,188][694701] Avg episode reward: [(0, '222.450')]
-[2026-06-03 02:32:47,192][695578] Saving new best policy, reward=222.450!
-[2026-06-03 02:32:49,318][695648] Updated weights for policy 0, policy_version 4415 (0.0010)
-[2026-06-03 02:32:52,187][694701] Fps is (10 sec: 13107.4, 60 sec: 12015.0, 300 sec: 12072.4). Total num frames: 2293760. Throughput: 0: 11958.1. Samples: 2289664. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0)
-[2026-06-03 02:32:52,188][694701] Avg episode reward: [(0, '204.500')]
-[2026-06-03 02:32:54,565][695648] Updated weights for policy 0, policy_version 4512 (0.0012)
-[2026-06-03 02:32:57,187][694701] Fps is (10 sec: 10649.7, 60 sec: 11878.4, 300 sec: 11972.9). Total num frames: 2334720. Throughput: 0: 12709.0. Samples: 2360320. Policy #0 lag: (min: 2.0, avg: 6.1, max: 66.0)
-[2026-06-03 02:32:57,188][694701] Avg episode reward: [(0, '218.850')]
-[2026-06-03 02:32:57,474][695648] Updated weights for policy 0, policy_version 4598 (0.0010)
-[2026-06-03 02:33:02,187][694701] Fps is (10 sec: 9830.2, 60 sec: 12014.9, 300 sec: 11960.3). Total num frames: 2392064. Throughput: 0: 11878.4. Samples: 2394624. Policy #0 lag: (min: 2.0, avg: 6.1, max: 66.0)
-[2026-06-03 02:33:02,188][694701] Avg episode reward: [(0, '209.900')]
-[2026-06-03 02:33:02,600][695648] Updated weights for policy 0, policy_version 4674 (0.0009)
-[2026-06-03 02:33:05,658][695648] Updated weights for policy 0, policy_version 4768 (0.0010)
-[2026-06-03 02:33:07,187][694701] Fps is (10 sec: 12287.9, 60 sec: 12014.9, 300 sec: 11988.3). Total num frames: 2457600. Throughput: 0: 11867.0. Samples: 2465792. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0)
-[2026-06-03 02:33:07,188][694701] Avg episode reward: [(0, '231.550')]
-[2026-06-03 02:33:07,192][695578] Saving new best policy, reward=231.550!
-[2026-06-03 02:33:08,487][695648] Updated weights for policy 0, policy_version 4834 (0.0009)
-[2026-06-03 02:33:11,411][695648] Updated weights for policy 0, policy_version 4923 (0.0011)
-[2026-06-03 02:33:12,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 12014.9). Total num frames: 2523136. Throughput: 0: 11116.1. Samples: 2501120. Policy #0 lag: (min: 2.0, avg: 7.0, max: 66.0)
-[2026-06-03 02:33:12,188][694701] Avg episode reward: [(0, '225.950')]
-[2026-06-03 02:33:16,552][695648] Updated weights for policy 0, policy_version 5008 (0.0010)
-[2026-06-03 02:33:17,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 12040.3). Total num frames: 2588672. Throughput: 0: 11878.4. Samples: 2572800. Policy #0 lag: (min: 8.0, avg: 11.5, max: 72.0)
-[2026-06-03 02:33:17,188][694701] Avg episode reward: [(0, '221.450')]
-[2026-06-03 02:33:19,159][695648] Updated weights for policy 0, policy_version 5074 (0.0010)
-[2026-06-03 02:33:21,874][695648] Updated weights for policy 0, policy_version 5152 (0.0010)
-[2026-06-03 02:33:22,187][694701] Fps is (10 sec: 13107.3, 60 sec: 12014.9, 300 sec: 12064.6). Total num frames: 2654208. Throughput: 0: 12003.5. Samples: 2649600. Policy #0 lag: (min: 6.0, avg: 11.0, max: 70.0)
-[2026-06-03 02:33:22,188][694701] Avg episode reward: [(0, '241.650')]
-[2026-06-03 02:33:22,193][695578] Saving new best policy, reward=241.650!
-[2026-06-03 02:33:24,618][695648] Updated weights for policy 0, policy_version 5218 (0.0008)
-[2026-06-03 02:33:27,187][694701] Fps is (10 sec: 9830.4, 60 sec: 11878.4, 300 sec: 11942.1). Total num frames: 2686976. Throughput: 0: 12777.2. Samples: 2720768. Policy #0 lag: (min: 0.0, avg: 3.7, max: 64.0)
-[2026-06-03 02:33:27,188][694701] Avg episode reward: [(0, '244.300')]
-[2026-06-03 02:33:27,436][695578] Saving new best policy, reward=244.300!
-[2026-06-03 02:33:27,622][695648] Updated weights for policy 0, policy_version 5298 (0.0012)
-[2026-06-03 02:33:30,112][695578] Signal inference workers to stop experience collection... (250 times)
-[2026-06-03 02:33:30,141][695648] InferenceWorker_p0-w0: stopping experience collection (250 times)
-[2026-06-03 02:33:30,236][695578] Signal inference workers to resume experience collection... (250 times)
-[2026-06-03 02:33:30,237][695648] InferenceWorker_p0-w0: resuming experience collection (250 times)
-[2026-06-03 02:33:30,497][695648] Updated weights for policy 0, policy_version 5368 (0.0011)
-[2026-06-03 02:33:32,187][694701] Fps is (10 sec: 9830.4, 60 sec: 12014.9, 300 sec: 11967.4). Total num frames: 2752512. Throughput: 0: 11935.3. Samples: 2754048. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:33:32,188][694701] Avg episode reward: [(0, '253.800')]
-[2026-06-03 02:33:32,193][695578] Saving new best policy, reward=253.800!
-[2026-06-03 02:33:33,190][695648] Updated weights for policy 0, policy_version 5439 (0.0010)
-[2026-06-03 02:33:35,964][695648] Updated weights for policy 0, policy_version 5504 (0.0009)
-[2026-06-03 02:33:37,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 11991.7). Total num frames: 2818048. Throughput: 0: 11935.2. Samples: 2826752. Policy #0 lag: (min: 8.0, avg: 12.5, max: 72.0)
-[2026-06-03 02:33:37,188][694701] Avg episode reward: [(0, '242.900')]
-[2026-06-03 02:33:38,649][695648] Updated weights for policy 0, policy_version 5568 (0.0009)
-[2026-06-03 02:33:42,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 12014.9). Total num frames: 2883584. Throughput: 0: 11207.1. Samples: 2864640. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0)
-[2026-06-03 02:33:42,188][694701] Avg episode reward: [(0, '266.800')]
-[2026-06-03 02:33:42,193][695578] Saving new best policy, reward=266.800!
-[2026-06-03 02:33:43,604][695648] Updated weights for policy 0, policy_version 5648 (0.0009)
-[2026-06-03 02:33:46,404][695648] Updated weights for policy 0, policy_version 5728 (0.0009)
-[2026-06-03 02:33:47,187][694701] Fps is (10 sec: 13107.3, 60 sec: 12014.9, 300 sec: 12037.2). Total num frames: 2949120. Throughput: 0: 12049.1. Samples: 2936832. Policy #0 lag: (min: 31.0, avg: 35.9, max: 95.0)
-[2026-06-03 02:33:47,188][694701] Avg episode reward: [(0, '247.200')]
-[2026-06-03 02:33:49,160][695648] Updated weights for policy 0, policy_version 5795 (0.0013)
-[2026-06-03 02:33:51,959][695648] Updated weights for policy 0, policy_version 5875 (0.0010)
-[2026-06-03 02:33:52,187][694701] Fps is (10 sec: 13107.1, 60 sec: 12014.9, 300 sec: 12058.6). Total num frames: 3014656. Throughput: 0: 12105.9. Samples: 3010560. Policy #0 lag: (min: 47.0, avg: 50.9, max: 111.0)
-[2026-06-03 02:33:52,188][694701] Avg episode reward: [(0, '303.600')]
-[2026-06-03 02:33:52,192][695578] Saving new best policy, reward=303.600!
-[2026-06-03 02:33:54,720][695648] Updated weights for policy 0, policy_version 5952 (0.0009)
-[2026-06-03 02:33:57,187][694701] Fps is (10 sec: 11468.7, 60 sec: 12151.4, 300 sec: 12014.9). Total num frames: 3063808. Throughput: 0: 12936.5. Samples: 3083264. Policy #0 lag: (min: 47.0, avg: 50.9, max: 111.0)
-[2026-06-03 02:33:57,188][694701] Avg episode reward: [(0, '314.050')]
-[2026-06-03 02:33:57,372][695578] Saving new best policy, reward=314.050!
-[2026-06-03 02:33:59,599][695648] Updated weights for policy 0, policy_version 6032 (0.0012)
-[2026-06-03 02:34:02,187][694701] Fps is (10 sec: 9830.5, 60 sec: 12014.9, 300 sec: 11972.9). Total num frames: 3112960. Throughput: 0: 12162.8. Samples: 3120128. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
-[2026-06-03 02:34:02,188][694701] Avg episode reward: [(0, '343.550')]
-[2026-06-03 02:34:02,455][695578] Saving new best policy, reward=343.550!
-[2026-06-03 02:34:02,457][695648] Updated weights for policy 0, policy_version 6112 (0.0012)
-[2026-06-03 02:34:05,211][695648] Updated weights for policy 0, policy_version 6192 (0.0012)
-[2026-06-03 02:34:07,187][694701] Fps is (10 sec: 11468.9, 60 sec: 12014.9, 300 sec: 11994.3). Total num frames: 3178496. Throughput: 0: 12128.7. Samples: 3195392. Policy #0 lag: (min: 63.0, avg: 67.5, max: 127.0)
-[2026-06-03 02:34:07,188][694701] Avg episode reward: [(0, '304.800')]
-[2026-06-03 02:34:07,774][695648] Updated weights for policy 0, policy_version 6266 (0.0011)
-[2026-06-03 02:34:10,593][695648] Updated weights for policy 0, policy_version 6336 (0.0010)
-[2026-06-03 02:34:12,187][694701] Fps is (10 sec: 13107.3, 60 sec: 12015.0, 300 sec: 12014.9). Total num frames: 3244032. Throughput: 0: 11411.9. Samples: 3234304. Policy #0 lag: (min: 63.0, avg: 67.5, max: 127.0)
-[2026-06-03 02:34:12,188][694701] Avg episode reward: [(0, '337.300')]
-[2026-06-03 02:34:13,149][695648] Updated weights for policy 0, policy_version 6400 (0.0010)
-[2026-06-03 02:34:15,196][695578] Signal inference workers to stop experience collection... (300 times)
-[2026-06-03 02:34:15,225][695648] InferenceWorker_p0-w0: stopping experience collection (300 times)
-[2026-06-03 02:34:15,326][695578] Signal inference workers to resume experience collection... (300 times)
-[2026-06-03 02:34:15,326][695648] InferenceWorker_p0-w0: resuming experience collection (300 times)
-[2026-06-03 02:34:17,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 12034.8). Total num frames: 3309568. Throughput: 0: 12356.3. Samples: 3310080. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0)
-[2026-06-03 02:34:17,188][694701] Avg episode reward: [(0, '362.100')]
-[2026-06-03 02:34:17,193][695578] Saving new best policy, reward=362.100!
-[2026-06-03 02:34:18,043][695648] Updated weights for policy 0, policy_version 6480 (0.0012)
-[2026-06-03 02:34:20,750][695648] Updated weights for policy 0, policy_version 6560 (0.0012)
-[2026-06-03 02:34:22,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 12053.9). Total num frames: 3375104. Throughput: 0: 12333.5. Samples: 3381760. Policy #0 lag: (min: 3.0, avg: 7.9, max: 67.0)
-[2026-06-03 02:34:22,188][694701] Avg episode reward: [(0, '371.050')]
-[2026-06-03 02:34:22,192][695578] Saving new best policy, reward=371.050!
-[2026-06-03 02:34:23,508][695648] Updated weights for policy 0, policy_version 6643 (0.0012)
-[2026-06-03 02:34:27,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12072.4). Total num frames: 3440640. Throughput: 0: 12367.6. Samples: 3421184. Policy #0 lag: (min: 3.0, avg: 7.9, max: 67.0)
-[2026-06-03 02:34:27,188][694701] Avg episode reward: [(0, '361.000')]
-[2026-06-03 02:34:28,348][695648] Updated weights for policy 0, policy_version 6722 (0.0011)
-[2026-06-03 02:34:31,268][695648] Updated weights for policy 0, policy_version 6832 (0.0013)
-[2026-06-03 02:34:32,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12090.3). Total num frames: 3506176. Throughput: 0: 12458.7. Samples: 3497472. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
-[2026-06-03 02:34:32,188][694701] Avg episode reward: [(0, '394.200')]
-[2026-06-03 02:34:32,192][695578] Saving new best policy, reward=394.200!
-[2026-06-03 02:34:34,138][695648] Updated weights for policy 0, policy_version 6905 (0.0012)
-[2026-06-03 02:34:37,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12107.5). Total num frames: 3571712. Throughput: 0: 12492.8. Samples: 3572736. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0)
-[2026-06-03 02:34:37,188][694701] Avg episode reward: [(0, '410.900')]
-[2026-06-03 02:34:37,191][695578] Saving new best policy, reward=410.900!
-[2026-06-03 02:34:38,770][695648] Updated weights for policy 0, policy_version 6978 (0.0010)
-[2026-06-03 02:34:41,549][695648] Updated weights for policy 0, policy_version 7072 (0.0010)
-[2026-06-03 02:34:42,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12107.5). Total num frames: 3637248. Throughput: 0: 11673.6. Samples: 3608576. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0)
-[2026-06-03 02:34:42,188][694701] Avg episode reward: [(0, '410.050')]
-[2026-06-03 02:34:44,042][695648] Updated weights for policy 0, policy_version 7136 (0.0010)
-[2026-06-03 02:34:46,704][695648] Updated weights for policy 0, policy_version 7216 (0.0011)
-[2026-06-03 02:34:47,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12107.5). Total num frames: 3702784. Throughput: 0: 12618.0. Samples: 3687936. Policy #0 lag: (min: 4.0, avg: 8.0, max: 68.0)
-[2026-06-03 02:34:47,188][694701] Avg episode reward: [(0, '397.150')]
-[2026-06-03 02:34:49,222][695648] Updated weights for policy 0, policy_version 7282 (0.0009)
-[2026-06-03 02:34:51,691][695648] Updated weights for policy 0, policy_version 7346 (0.0009)
-[2026-06-03 02:34:52,187][694701] Fps is (10 sec: 13107.1, 60 sec: 12561.1, 300 sec: 12107.5). Total num frames: 3768320. Throughput: 0: 12720.3. Samples: 3767808. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:34:52,188][694701] Avg episode reward: [(0, '435.800')]
-[2026-06-03 02:34:52,192][695578] Saving new best policy, reward=435.800!
-[2026-06-03 02:34:54,229][695648] Updated weights for policy 0, policy_version 7416 (0.0009)
-[2026-06-03 02:34:56,538][695578] Signal inference workers to stop experience collection... (350 times)
-[2026-06-03 02:34:56,567][695648] InferenceWorker_p0-w0: stopping experience collection (350 times)
-[2026-06-03 02:34:56,678][695578] Signal inference workers to resume experience collection... (350 times)
-[2026-06-03 02:34:56,678][695648] InferenceWorker_p0-w0: resuming experience collection (350 times)
-[2026-06-03 02:34:56,855][695648] Updated weights for policy 0, policy_version 7488 (0.0010)
-[2026-06-03 02:34:57,187][694701] Fps is (10 sec: 13107.4, 60 sec: 12834.2, 300 sec: 12107.5). Total num frames: 3833856. Throughput: 0: 12686.3. Samples: 3805184. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:34:57,188][694701] Avg episode reward: [(0, '508.400')]
-[2026-06-03 02:34:57,192][695578] Saving new best policy, reward=508.400!
-[2026-06-03 02:34:59,606][695648] Updated weights for policy 0, policy_version 7552 (0.0009)
-[2026-06-03 02:35:02,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13107.2, 300 sec: 12163.0). Total num frames: 3899392. Throughput: 0: 12674.9. Samples: 3880448. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0)
-[2026-06-03 02:35:02,188][694701] Avg episode reward: [(0, '519.000')]
-[2026-06-03 02:35:02,190][695578] Saving new best policy, reward=519.000!
-[2026-06-03 02:35:04,209][695648] Updated weights for policy 0, policy_version 7632 (0.0011)
-[2026-06-03 02:35:06,899][695648] Updated weights for policy 0, policy_version 7712 (0.0011)
-[2026-06-03 02:35:07,187][694701] Fps is (10 sec: 13107.1, 60 sec: 13107.2, 300 sec: 12218.6). Total num frames: 3964928. Throughput: 0: 12822.8. Samples: 3958784. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0)
-[2026-06-03 02:35:07,188][694701] Avg episode reward: [(0, '573.200')]
-[2026-06-03 02:35:07,192][695578] Saving new best policy, reward=573.200!
-[2026-06-03 02:35:09,543][695648] Updated weights for policy 0, policy_version 7797 (0.0014)
-[2026-06-03 02:35:12,170][695648] Updated weights for policy 0, policy_version 7859 (0.0010)
-[2026-06-03 02:35:12,187][694701] Fps is (10 sec: 12287.8, 60 sec: 12970.6, 300 sec: 12190.8). Total num frames: 4022272. Throughput: 0: 12834.1. Samples: 3998720. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0)
-[2026-06-03 02:35:12,188][694701] Avg episode reward: [(0, '694.600')]
-[2026-06-03 02:35:12,283][695578] Saving new best policy, reward=694.600!
-[2026-06-03 02:35:14,633][695648] Updated weights for policy 0, policy_version 7920 (0.0009)
-[2026-06-03 02:35:17,139][695648] Updated weights for policy 0, policy_version 7987 (0.0009)
-[2026-06-03 02:35:17,187][694701] Fps is (10 sec: 12287.9, 60 sec: 12970.7, 300 sec: 12190.8). Total num frames: 4087808. Throughput: 0: 12822.7. Samples: 4074496. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0)
-[2026-06-03 02:35:17,188][694701] Avg episode reward: [(0, '588.100')]
-[2026-06-03 02:35:19,829][695648] Updated weights for policy 0, policy_version 8053 (0.0010)
-[2026-06-03 02:35:22,187][694701] Fps is (10 sec: 12288.1, 60 sec: 12834.1, 300 sec: 12163.0). Total num frames: 4145152. Throughput: 0: 12879.6. Samples: 4152320. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:35:22,188][694701] Avg episode reward: [(0, '528.800')]
-[2026-06-03 02:35:22,311][695648] Updated weights for policy 0, policy_version 8117 (0.0009)
-[2026-06-03 02:35:24,927][695648] Updated weights for policy 0, policy_version 8192 (0.0010)
-[2026-06-03 02:35:27,187][694701] Fps is (10 sec: 11468.8, 60 sec: 12697.6, 300 sec: 12218.6). Total num frames: 4202496. Throughput: 0: 13789.8. Samples: 4229120. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:35:27,188][694701] Avg episode reward: [(0, '540.250')]
-[2026-06-03 02:35:29,637][695648] Updated weights for policy 0, policy_version 8272 (0.0010)
-[2026-06-03 02:35:32,187][694701] Fps is (10 sec: 12288.1, 60 sec: 12697.6, 300 sec: 12246.3). Total num frames: 4268032. Throughput: 0: 12845.5. Samples: 4265984. Policy #0 lag: (min: 1.0, avg: 6.0, max: 65.0)
-[2026-06-03 02:35:32,188][694701] Avg episode reward: [(0, '629.400')]
-[2026-06-03 02:35:32,264][695648] Updated weights for policy 0, policy_version 8352 (0.0010)
-[2026-06-03 02:35:34,736][695648] Updated weights for policy 0, policy_version 8416 (0.0009)
-[2026-06-03 02:35:37,187][694701] Fps is (10 sec: 13107.2, 60 sec: 12697.6, 300 sec: 12246.3). Total num frames: 4333568. Throughput: 0: 12891.0. Samples: 4347904. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
-[2026-06-03 02:35:37,188][694701] Avg episode reward: [(0, '751.250')]
-[2026-06-03 02:35:37,258][695648] Updated weights for policy 0, policy_version 8480 (0.0010)
-[2026-06-03 02:35:37,370][695578] Saving new best policy, reward=751.250!
-[2026-06-03 02:35:39,610][695578] Signal inference workers to stop experience collection... (400 times)
-[2026-06-03 02:35:39,637][695648] InferenceWorker_p0-w0: stopping experience collection (400 times)
-[2026-06-03 02:35:39,658][695648] Updated weights for policy 0, policy_version 8530 (0.0008)
-[2026-06-03 02:35:39,740][695578] Signal inference workers to resume experience collection... (400 times)
-[2026-06-03 02:35:39,740][695648] InferenceWorker_p0-w0: resuming experience collection (400 times)
-[2026-06-03 02:35:42,100][695648] Updated weights for policy 0, policy_version 8594 (0.0007)
-[2026-06-03 02:35:42,187][694701] Fps is (10 sec: 13926.3, 60 sec: 12834.1, 300 sec: 12274.1). Total num frames: 4407296. Throughput: 0: 13789.8. Samples: 4425728. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
-[2026-06-03 02:35:42,188][694701] Avg episode reward: [(0, '786.950')]
-[2026-06-03 02:35:42,503][695578] Saving new best policy, reward=786.950!
-[2026-06-03 02:35:44,576][695648] Updated weights for policy 0, policy_version 8658 (0.0007)
-[2026-06-03 02:35:46,961][695648] Updated weights for policy 0, policy_version 8720 (0.0009)
-[2026-06-03 02:35:47,187][694701] Fps is (10 sec: 13926.5, 60 sec: 12834.1, 300 sec: 12274.1). Total num frames: 4472832. Throughput: 0: 13004.8. Samples: 4465664. Policy #0 lag: (min: 9.0, avg: 14.2, max: 73.0)
-[2026-06-03 02:35:47,188][694701] Avg episode reward: [(0, '783.250')]
-[2026-06-03 02:35:49,382][695648] Updated weights for policy 0, policy_version 8786 (0.0009)
-[2026-06-03 02:35:51,996][695648] Updated weights for policy 0, policy_version 8864 (0.0011)
-[2026-06-03 02:35:52,187][694701] Fps is (10 sec: 13926.4, 60 sec: 12970.7, 300 sec: 12301.9). Total num frames: 4546560. Throughput: 0: 13095.8. Samples: 4548096. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:35:52,188][694701] Avg episode reward: [(0, '807.800')]
-[2026-06-03 02:35:52,302][695578] Saving new best policy, reward=807.800!
-[2026-06-03 02:35:54,461][695648] Updated weights for policy 0, policy_version 8930 (0.0010)
-[2026-06-03 02:35:56,910][695648] Updated weights for policy 0, policy_version 8992 (0.0011)
-[2026-06-03 02:35:57,187][694701] Fps is (10 sec: 13926.4, 60 sec: 12970.6, 300 sec: 12385.2). Total num frames: 4612096. Throughput: 0: 13095.8. Samples: 4588032. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:35:57,188][694701] Avg episode reward: [(0, '932.350')]
-[2026-06-03 02:35:57,193][695578] Saving new best policy, reward=932.350!
-[2026-06-03 02:35:59,504][695648] Updated weights for policy 0, policy_version 9058 (0.0010)
-[2026-06-03 02:36:01,859][695648] Updated weights for policy 0, policy_version 9122 (0.0009)
-[2026-06-03 02:36:02,187][694701] Fps is (10 sec: 13926.4, 60 sec: 13107.2, 300 sec: 12440.7). Total num frames: 4685824. Throughput: 0: 13130.0. Samples: 4665344. Policy #0 lag: (min: 13.0, avg: 17.9, max: 77.0)
-[2026-06-03 02:36:02,188][694701] Avg episode reward: [(0, '1013.000')]
-[2026-06-03 02:36:02,192][695578] Saving new best policy, reward=1013.000!
-[2026-06-03 02:36:04,384][695648] Updated weights for policy 0, policy_version 9203 (0.0008)
-[2026-06-03 02:36:06,798][695648] Updated weights for policy 0, policy_version 9264 (0.0008)
-[2026-06-03 02:36:07,187][694701] Fps is (10 sec: 13926.4, 60 sec: 13107.2, 300 sec: 12440.7). Total num frames: 4751360. Throughput: 0: 13255.1. Samples: 4748800. Policy #0 lag: (min: 40.0, avg: 44.6, max: 104.0)
-[2026-06-03 02:36:07,188][694701] Avg episode reward: [(0, '957.550')]
-[2026-06-03 02:36:09,027][695648] Updated weights for policy 0, policy_version 9328 (0.0009)
-[2026-06-03 02:36:11,610][695648] Updated weights for policy 0, policy_version 9402 (0.0010)
-[2026-06-03 02:36:12,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13243.8, 300 sec: 12440.7). Total num frames: 4816896. Throughput: 0: 12435.9. Samples: 4788736. Policy #0 lag: (min: 40.0, avg: 44.6, max: 104.0)
-[2026-06-03 02:36:12,188][694701] Avg episode reward: [(0, '1039.800')]
-[2026-06-03 02:36:12,192][695578] Saving new best policy, reward=1039.800!
-[2026-06-03 02:36:14,012][695648] Updated weights for policy 0, policy_version 9464 (0.0012)
-[2026-06-03 02:36:16,355][695648] Updated weights for policy 0, policy_version 9521 (0.0011)
-[2026-06-03 02:36:17,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13243.7, 300 sec: 12440.7). Total num frames: 4882432. Throughput: 0: 13459.9. Samples: 4871680. Policy #0 lag: (min: 15.0, avg: 19.8, max: 79.0)
-[2026-06-03 02:36:17,188][694701] Avg episode reward: [(0, '1152.700')]
-[2026-06-03 02:36:17,192][695578] Saving new best policy, reward=1152.700!
-[2026-06-03 02:36:18,728][695648] Updated weights for policy 0, policy_version 9596 (0.0013)
-[2026-06-03 02:36:20,618][695578] Signal inference workers to stop experience collection... (450 times)
-[2026-06-03 02:36:20,645][695648] InferenceWorker_p0-w0: stopping experience collection (450 times)
-[2026-06-03 02:36:20,736][695578] Signal inference workers to resume experience collection... (450 times)
-[2026-06-03 02:36:20,736][695648] InferenceWorker_p0-w0: resuming experience collection (450 times)
-[2026-06-03 02:36:21,152][695648] Updated weights for policy 0, policy_version 9664 (0.0008)
-[2026-06-03 02:36:22,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13380.3, 300 sec: 12440.7). Total num frames: 4947968. Throughput: 0: 13459.9. Samples: 4953600. Policy #0 lag: (min: 15.0, avg: 19.8, max: 79.0)
-[2026-06-03 02:36:22,188][694701] Avg episode reward: [(0, '1305.150')]
-[2026-06-03 02:36:22,192][695578] Saving new best policy, reward=1305.150!
-[2026-06-03 02:36:25,604][695648] Updated weights for policy 0, policy_version 9760 (0.0009)
-[2026-06-03 02:36:27,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13516.8, 300 sec: 12551.8). Total num frames: 5013504. Throughput: 0: 12686.2. Samples: 4996608. Policy #0 lag: (min: 7.0, avg: 10.9, max: 71.0)
-[2026-06-03 02:36:27,189][694701] Avg episode reward: [(0, '1262.900')]
-[2026-06-03 02:36:28,013][695648] Updated weights for policy 0, policy_version 9824 (0.0009)
-[2026-06-03 02:36:30,436][695648] Updated weights for policy 0, policy_version 9888 (0.0010)
-[2026-06-03 02:36:32,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13516.8, 300 sec: 12551.8). Total num frames: 5079040. Throughput: 0: 13642.0. Samples: 5079552. Policy #0 lag: (min: 7.0, avg: 10.9, max: 71.0)
-[2026-06-03 02:36:32,188][694701] Avg episode reward: [(0, '1242.100')]
-[2026-06-03 02:36:32,790][695648] Updated weights for policy 0, policy_version 9952 (0.0010)
-[2026-06-03 02:36:35,364][695648] Updated weights for policy 0, policy_version 10032 (0.0010)
-[2026-06-03 02:36:37,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13516.8, 300 sec: 12551.8). Total num frames: 5144576. Throughput: 0: 13596.5. Samples: 5159936. Policy #0 lag: (min: 11.0, avg: 15.9, max: 75.0)
-[2026-06-03 02:36:37,188][694701] Avg episode reward: [(0, '1239.400')]
-[2026-06-03 02:36:37,765][695648] Updated weights for policy 0, policy_version 10099 (0.0010)
-[2026-06-03 02:36:40,408][695648] Updated weights for policy 0, policy_version 10176 (0.0010)
-[2026-06-03 02:36:42,187][694701] Fps is (10 sec: 13107.1, 60 sec: 13380.3, 300 sec: 12551.8). Total num frames: 5210112. Throughput: 0: 13619.2. Samples: 5200896. Policy #0 lag: (min: 11.0, avg: 15.9, max: 75.0)
-[2026-06-03 02:36:42,189][694701] Avg episode reward: [(0, '1332.600')]
-[2026-06-03 02:36:42,193][695578] Saving new best policy, reward=1332.600!
-[2026-06-03 02:36:44,967][695648] Updated weights for policy 0, policy_version 10256 (0.0006)
-[2026-06-03 02:36:47,187][694701] Fps is (10 sec: 13107.0, 60 sec: 13380.3, 300 sec: 12551.8). Total num frames: 5275648. Throughput: 0: 13630.6. Samples: 5278720. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0)
-[2026-06-03 02:36:47,189][694701] Avg episode reward: [(0, '1443.200')]
-[2026-06-03 02:36:47,313][695578] Saving new best policy, reward=1443.200!
-[2026-06-03 02:36:47,314][695648] Updated weights for policy 0, policy_version 10336 (0.0007)
-[2026-06-03 02:36:49,861][695648] Updated weights for policy 0, policy_version 10416 (0.0011)
-[2026-06-03 02:36:52,187][694701] Fps is (10 sec: 14745.6, 60 sec: 13516.8, 300 sec: 12662.9). Total num frames: 5357568. Throughput: 0: 13664.7. Samples: 5363712. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0)
-[2026-06-03 02:36:52,189][694701] Avg episode reward: [(0, '1510.450')]
-[2026-06-03 02:36:52,369][695648] Updated weights for policy 0, policy_version 10485 (0.0012)
-[2026-06-03 02:36:52,460][695578] Saving new best policy, reward=1510.450!
-[2026-06-03 02:36:54,828][695648] Updated weights for policy 0, policy_version 10554 (0.0011)
-[2026-06-03 02:36:57,187][694701] Fps is (10 sec: 15564.9, 60 sec: 13653.3, 300 sec: 12746.2). Total num frames: 5431296. Throughput: 0: 13698.8. Samples: 5405184. Policy #0 lag: (min: 0.0, avg: 5.2, max: 64.0)
-[2026-06-03 02:36:57,188][694701] Avg episode reward: [(0, '1464.850')]
-[2026-06-03 02:36:57,205][695648] Updated weights for policy 0, policy_version 10617 (0.0011)
-[2026-06-03 02:36:59,337][695578] Signal inference workers to stop experience collection... (500 times)
-[2026-06-03 02:36:59,370][695648] InferenceWorker_p0-w0: stopping experience collection (500 times)
-[2026-06-03 02:36:59,448][695578] Signal inference workers to resume experience collection... (500 times)
-[2026-06-03 02:36:59,448][695648] InferenceWorker_p0-w0: resuming experience collection (500 times)
-[2026-06-03 02:36:59,572][695648] Updated weights for policy 0, policy_version 10683 (0.0014)
-[2026-06-03 02:37:02,101][695648] Updated weights for policy 0, policy_version 10752 (0.0017)
-[2026-06-03 02:37:02,187][694701] Fps is (10 sec: 14745.6, 60 sec: 13653.3, 300 sec: 12774.0). Total num frames: 5505024. Throughput: 0: 13641.9. Samples: 5485568. Policy #0 lag: (min: 0.0, avg: 5.2, max: 64.0)
-[2026-06-03 02:37:02,188][694701] Avg episode reward: [(0, '1418.400')]
-[2026-06-03 02:37:06,470][695648] Updated weights for policy 0, policy_version 10832 (0.0013)
-[2026-06-03 02:37:07,187][694701] Fps is (10 sec: 13926.3, 60 sec: 13653.3, 300 sec: 12774.0). Total num frames: 5570560. Throughput: 0: 13653.3. Samples: 5568000. Policy #0 lag: (min: 7.0, avg: 10.4, max: 71.0)
-[2026-06-03 02:37:07,188][694701] Avg episode reward: [(0, '1468.500')]
-[2026-06-03 02:37:08,842][695648] Updated weights for policy 0, policy_version 10896 (0.0011)
-[2026-06-03 02:37:11,029][695648] Updated weights for policy 0, policy_version 10960 (0.0011)
-[2026-06-03 02:37:12,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13653.3, 300 sec: 12774.0). Total num frames: 5636096. Throughput: 0: 13596.4. Samples: 5608448. Policy #0 lag: (min: 7.0, avg: 10.4, max: 71.0)
-[2026-06-03 02:37:12,188][694701] Avg episode reward: [(0, '1512.650')]
-[2026-06-03 02:37:12,192][695578] Saving new best policy, reward=1512.650!
-[2026-06-03 02:37:13,302][695648] Updated weights for policy 0, policy_version 11026 (0.0011)
-[2026-06-03 02:37:15,719][695648] Updated weights for policy 0, policy_version 11104 (0.0009)
-[2026-06-03 02:37:17,187][694701] Fps is (10 sec: 13107.0, 60 sec: 13653.3, 300 sec: 12774.0). Total num frames: 5701632. Throughput: 0: 13755.7. Samples: 5698560. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:37:17,188][694701] Avg episode reward: [(0, '1672.850')]
-[2026-06-03 02:37:17,193][695578] Saving new best policy, reward=1672.850!
-[2026-06-03 02:37:18,222][695648] Updated weights for policy 0, policy_version 11186 (0.0009)
-[2026-06-03 02:37:20,580][695648] Updated weights for policy 0, policy_version 11251 (0.0010)
-[2026-06-03 02:37:22,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13653.3, 300 sec: 12857.3). Total num frames: 5767168. Throughput: 0: 13767.1. Samples: 5779456. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:37:22,188][694701] Avg episode reward: [(0, '1787.350')]
-[2026-06-03 02:37:22,190][695578] Saving new best policy, reward=1787.350!
-[2026-06-03 02:37:23,028][695648] Updated weights for policy 0, policy_version 11312 (0.0012)
-[2026-06-03 02:37:25,315][695648] Updated weights for policy 0, policy_version 11376 (0.0011)
-[2026-06-03 02:37:27,187][694701] Fps is (10 sec: 13107.4, 60 sec: 13653.3, 300 sec: 12885.0). Total num frames: 5832704. Throughput: 0: 13789.9. Samples: 5821440. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
-[2026-06-03 02:37:27,188][694701] Avg episode reward: [(0, '1847.750')]
-[2026-06-03 02:37:27,450][695578] Saving new best policy, reward=1847.750!
-[2026-06-03 02:37:27,620][695648] Updated weights for policy 0, policy_version 11443 (0.0010)
-[2026-06-03 02:37:30,090][695648] Updated weights for policy 0, policy_version 11505 (0.0011)
-[2026-06-03 02:37:32,187][694701] Fps is (10 sec: 13926.3, 60 sec: 13789.8, 300 sec: 12912.8). Total num frames: 5906432. Throughput: 0: 13869.5. Samples: 5902848. Policy #0 lag: (min: 13.0, avg: 18.0, max: 77.0)
-[2026-06-03 02:37:32,188][694701] Avg episode reward: [(0, '1892.300')]
-[2026-06-03 02:37:32,361][695578] Saving new best policy, reward=1892.300!
-[2026-06-03 02:37:32,546][695648] Updated weights for policy 0, policy_version 11583 (0.0014)
-[2026-06-03 02:37:34,911][695648] Updated weights for policy 0, policy_version 11644 (0.0011)
-[2026-06-03 02:37:37,168][695648] Updated weights for policy 0, policy_version 11710 (0.0011)
-[2026-06-03 02:37:37,187][694701] Fps is (10 sec: 16383.9, 60 sec: 14199.4, 300 sec: 12996.1). Total num frames: 5996544. Throughput: 0: 13903.7. Samples: 5989376. Policy #0 lag: (min: 13.0, avg: 18.0, max: 77.0)
-[2026-06-03 02:37:37,188][694701] Avg episode reward: [(0, '1952.150')]
-[2026-06-03 02:37:37,193][695578] Saving new best policy, reward=1952.150!
-[2026-06-03 02:37:39,092][695578] Signal inference workers to stop experience collection... (550 times)
-[2026-06-03 02:37:39,125][695648] InferenceWorker_p0-w0: stopping experience collection (550 times)
-[2026-06-03 02:37:39,226][695578] Signal inference workers to resume experience collection... (550 times)
-[2026-06-03 02:37:39,226][695648] InferenceWorker_p0-w0: resuming experience collection (550 times)
-[2026-06-03 02:37:39,478][695648] Updated weights for policy 0, policy_version 11769 (0.0013)
-[2026-06-03 02:37:41,836][695648] Updated weights for policy 0, policy_version 11833 (0.0009)
-[2026-06-03 02:37:42,187][694701] Fps is (10 sec: 15564.8, 60 sec: 14199.5, 300 sec: 12996.1). Total num frames: 6062080. Throughput: 0: 13915.0. Samples: 6031360. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:37:42,188][694701] Avg episode reward: [(0, '1868.750')]
-[2026-06-03 02:37:44,105][695648] Updated weights for policy 0, policy_version 11893 (0.0008)
-[2026-06-03 02:37:46,454][695648] Updated weights for policy 0, policy_version 11960 (0.0010)
-[2026-06-03 02:37:47,187][694701] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 12996.1). Total num frames: 6127616. Throughput: 0: 14006.1. Samples: 6115840. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:37:47,188][694701] Avg episode reward: [(0, '1949.650')]
-[2026-06-03 02:37:48,731][695648] Updated weights for policy 0, policy_version 12022 (0.0011)
-[2026-06-03 02:37:51,087][695648] Updated weights for policy 0, policy_version 12081 (0.0014)
-[2026-06-03 02:37:52,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13926.4, 300 sec: 13079.4). Total num frames: 6193152. Throughput: 0: 14006.0. Samples: 6198272. Policy #0 lag: (min: 5.0, avg: 10.1, max: 69.0)
-[2026-06-03 02:37:52,188][694701] Avg episode reward: [(0, '2120.900')]
-[2026-06-03 02:37:52,193][695578] Saving new best policy, reward=2120.900!
-[2026-06-03 02:37:53,472][695648] Updated weights for policy 0, policy_version 12155 (0.0012)
-[2026-06-03 02:37:55,803][695648] Updated weights for policy 0, policy_version 12221 (0.0011)
-[2026-06-03 02:37:57,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13789.9, 300 sec: 13107.2). Total num frames: 6258688. Throughput: 0: 14074.3. Samples: 6241792. Policy #0 lag: (min: 5.0, avg: 10.1, max: 69.0)
-[2026-06-03 02:37:57,188][694701] Avg episode reward: [(0, '2349.450')]
-[2026-06-03 02:37:57,192][695578] Saving new best policy, reward=2349.450!
-[2026-06-03 02:37:58,165][695648] Updated weights for policy 0, policy_version 12287 (0.0010)
-[2026-06-03 02:38:02,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 13107.2). Total num frames: 6324224. Throughput: 0: 13937.8. Samples: 6325760. Policy #0 lag: (min: 5.0, avg: 10.0, max: 69.0)
-[2026-06-03 02:38:02,188][694701] Avg episode reward: [(0, '2237.350')]
-[2026-06-03 02:38:02,471][695648] Updated weights for policy 0, policy_version 12368 (0.0012)
-[2026-06-03 02:38:04,784][695648] Updated weights for policy 0, policy_version 12432 (0.0013)
-[2026-06-03 02:38:07,169][695648] Updated weights for policy 0, policy_version 12496 (0.0011)
-[2026-06-03 02:38:07,187][694701] Fps is (10 sec: 13926.2, 60 sec: 13789.8, 300 sec: 13135.0). Total num frames: 6397952. Throughput: 0: 14006.0. Samples: 6409728. Policy #0 lag: (min: 5.0, avg: 10.0, max: 69.0)
-[2026-06-03 02:38:07,188][694701] Avg episode reward: [(0, '2339.250')]
-[2026-06-03 02:38:09,495][695648] Updated weights for policy 0, policy_version 12560 (0.0009)
-[2026-06-03 02:38:11,787][695648] Updated weights for policy 0, policy_version 12624 (0.0012)
-[2026-06-03 02:38:12,187][694701] Fps is (10 sec: 16383.9, 60 sec: 14199.4, 300 sec: 13218.3). Total num frames: 6488064. Throughput: 0: 14051.5. Samples: 6453760. Policy #0 lag: (min: 15.0, avg: 20.9, max: 79.0)
-[2026-06-03 02:38:12,188][694701] Avg episode reward: [(0, '2356.250')]
-[2026-06-03 02:38:12,192][695578] Saving new best policy, reward=2356.250!
-[2026-06-03 02:38:14,107][695648] Updated weights for policy 0, policy_version 12692 (0.0012)
-[2026-06-03 02:38:16,427][695648] Updated weights for policy 0, policy_version 12754 (0.0013)
-[2026-06-03 02:38:17,187][694701] Fps is (10 sec: 15565.0, 60 sec: 14199.5, 300 sec: 13218.3). Total num frames: 6553600. Throughput: 0: 14119.8. Samples: 6538240. Policy #0 lag: (min: 15.0, avg: 20.9, max: 79.0)
-[2026-06-03 02:38:17,188][694701] Avg episode reward: [(0, '2475.900')]
-[2026-06-03 02:38:17,192][695578] Saving new best policy, reward=2475.900!
-[2026-06-03 02:38:18,663][695578] Signal inference workers to stop experience collection... (600 times)
-[2026-06-03 02:38:18,690][695648] InferenceWorker_p0-w0: stopping experience collection (600 times)
-[2026-06-03 02:38:18,789][695578] Signal inference workers to resume experience collection... (600 times)
-[2026-06-03 02:38:18,790][695648] InferenceWorker_p0-w0: resuming experience collection (600 times)
-[2026-06-03 02:38:18,839][695648] Updated weights for policy 0, policy_version 12818 (0.0010)
-[2026-06-03 02:38:21,001][695648] Updated weights for policy 0, policy_version 12880 (0.0011)
-[2026-06-03 02:38:22,187][694701] Fps is (10 sec: 13107.4, 60 sec: 14199.5, 300 sec: 13329.4). Total num frames: 6619136. Throughput: 0: 14062.9. Samples: 6622208. Policy #0 lag: (min: 52.0, avg: 57.0, max: 116.0)
-[2026-06-03 02:38:22,188][694701] Avg episode reward: [(0, '2502.100')]
-[2026-06-03 02:38:22,191][695578] Saving new best policy, reward=2502.100!
-[2026-06-03 02:38:23,237][695648] Updated weights for policy 0, policy_version 12930 (0.0012)
-[2026-06-03 02:38:25,541][695648] Updated weights for policy 0, policy_version 13008 (0.0012)
-[2026-06-03 02:38:27,187][694701] Fps is (10 sec: 13107.1, 60 sec: 14199.5, 300 sec: 13329.4). Total num frames: 6684672. Throughput: 0: 14062.9. Samples: 6664192. Policy #0 lag: (min: 52.0, avg: 57.0, max: 116.0)
-[2026-06-03 02:38:27,188][694701] Avg episode reward: [(0, '2596.200')]
-[2026-06-03 02:38:27,192][695578] Saving new best policy, reward=2596.200!
-[2026-06-03 02:38:27,831][695648] Updated weights for policy 0, policy_version 13075 (0.0010)
-[2026-06-03 02:38:30,324][695648] Updated weights for policy 0, policy_version 13168 (0.0011)
-[2026-06-03 02:38:32,187][694701] Fps is (10 sec: 13107.1, 60 sec: 14062.9, 300 sec: 13329.4). Total num frames: 6750208. Throughput: 0: 14131.2. Samples: 6751744. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
-[2026-06-03 02:38:32,188][694701] Avg episode reward: [(0, '2792.450')]
-[2026-06-03 02:38:32,193][695578] Saving new best policy, reward=2792.450!
-[2026-06-03 02:38:32,628][695648] Updated weights for policy 0, policy_version 13232 (0.0011)
-[2026-06-03 02:38:35,059][695648] Updated weights for policy 0, policy_version 13299 (0.0011)
-[2026-06-03 02:38:37,187][694701] Fps is (10 sec: 14745.6, 60 sec: 13926.4, 300 sec: 13384.9). Total num frames: 6832128. Throughput: 0: 14210.8. Samples: 6837760. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
-[2026-06-03 02:38:37,188][694701] Avg episode reward: [(0, '2920.550')]
-[2026-06-03 02:38:37,328][695648] Updated weights for policy 0, policy_version 13366 (0.0011)
-[2026-06-03 02:38:37,417][695578] Saving new best policy, reward=2920.550!
-[2026-06-03 02:38:39,583][695648] Updated weights for policy 0, policy_version 13431 (0.0012)
-[2026-06-03 02:38:41,895][695648] Updated weights for policy 0, policy_version 13500 (0.0010)
-[2026-06-03 02:38:42,187][694701] Fps is (10 sec: 16384.1, 60 sec: 14199.5, 300 sec: 13440.4). Total num frames: 6914048. Throughput: 0: 14233.6. Samples: 6882304. Policy #0 lag: (min: 7.0, avg: 12.1, max: 71.0)
-[2026-06-03 02:38:42,188][694701] Avg episode reward: [(0, '3198.550')]
-[2026-06-03 02:38:42,193][695578] Saving new best policy, reward=3198.550!
-[2026-06-03 02:38:44,278][695648] Updated weights for policy 0, policy_version 13568 (0.0008)
-[2026-06-03 02:38:47,187][694701] Fps is (10 sec: 14745.3, 60 sec: 14199.4, 300 sec: 13440.4). Total num frames: 6979584. Throughput: 0: 14267.7. Samples: 6967808. Policy #0 lag: (min: 7.0, avg: 12.1, max: 71.0)
-[2026-06-03 02:38:47,188][694701] Avg episode reward: [(0, '3314.500')]
-[2026-06-03 02:38:47,193][695578] Saving new best policy, reward=3314.500!
-[2026-06-03 02:38:48,280][695648] Updated weights for policy 0, policy_version 13648 (0.0010)
-[2026-06-03 02:38:50,334][695648] Updated weights for policy 0, policy_version 13698 (0.0011)
-[2026-06-03 02:38:52,187][694701] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 13496.0). Total num frames: 7045120. Throughput: 0: 14358.8. Samples: 7055872. Policy #0 lag: (min: 7.0, avg: 12.1, max: 71.0)
-[2026-06-03 02:38:52,188][694701] Avg episode reward: [(0, '3246.050')]
-[2026-06-03 02:38:52,772][695648] Updated weights for policy 0, policy_version 13778 (0.0011)
-[2026-06-03 02:38:55,276][695578] Signal inference workers to stop experience collection... (650 times)
-[2026-06-03 02:38:55,279][695648] Updated weights for policy 0, policy_version 13856 (0.0014)
-[2026-06-03 02:38:55,310][695648] InferenceWorker_p0-w0: stopping experience collection (650 times)
-[2026-06-03 02:38:55,406][695578] Signal inference workers to resume experience collection... (650 times)
-[2026-06-03 02:38:55,407][695648] InferenceWorker_p0-w0: resuming experience collection (650 times)
-[2026-06-03 02:38:57,187][694701] Fps is (10 sec: 13107.5, 60 sec: 14199.5, 300 sec: 13551.5). Total num frames: 7110656. Throughput: 0: 14324.7. Samples: 7098368. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
-[2026-06-03 02:38:57,188][694701] Avg episode reward: [(0, '3445.400')]
-[2026-06-03 02:38:57,192][695578] Saving new best policy, reward=3445.400!
-[2026-06-03 02:38:57,595][695648] Updated weights for policy 0, policy_version 13920 (0.0012)
-[2026-06-03 02:38:59,631][695648] Updated weights for policy 0, policy_version 13968 (0.0011)
-[2026-06-03 02:39:01,928][695648] Updated weights for policy 0, policy_version 14032 (0.0014)
-[2026-06-03 02:39:02,187][694701] Fps is (10 sec: 15564.6, 60 sec: 14609.0, 300 sec: 13634.8). Total num frames: 7200768. Throughput: 0: 14347.3. Samples: 7183872. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
-[2026-06-03 02:39:02,189][694701] Avg episode reward: [(0, '3291.800')]
-[2026-06-03 02:39:04,378][695648] Updated weights for policy 0, policy_version 14098 (0.0013)
-[2026-06-03 02:39:06,801][695648] Updated weights for policy 0, policy_version 14176 (0.0012)
-[2026-06-03 02:39:07,187][694701] Fps is (10 sec: 16383.8, 60 sec: 14609.1, 300 sec: 13662.6). Total num frames: 7274496. Throughput: 0: 14404.2. Samples: 7270400. Policy #0 lag: (min: 10.0, avg: 14.2, max: 74.0)
-[2026-06-03 02:39:07,189][694701] Avg episode reward: [(0, '3296.000')]
-[2026-06-03 02:39:09,221][695648] Updated weights for policy 0, policy_version 14256 (0.0010)
-[2026-06-03 02:39:11,515][695648] Updated weights for policy 0, policy_version 14320 (0.0012)
-[2026-06-03 02:39:12,187][694701] Fps is (10 sec: 13926.5, 60 sec: 14199.5, 300 sec: 13662.6). Total num frames: 7340032. Throughput: 0: 14358.8. Samples: 7310336. Policy #0 lag: (min: 10.0, avg: 14.2, max: 74.0)
-[2026-06-03 02:39:12,188][694701] Avg episode reward: [(0, '3348.100')]
-[2026-06-03 02:39:13,904][695648] Updated weights for policy 0, policy_version 14396 (0.0013)
-[2026-06-03 02:39:16,157][695648] Updated weights for policy 0, policy_version 14459 (0.0011)
-[2026-06-03 02:39:17,187][694701] Fps is (10 sec: 13107.4, 60 sec: 14199.5, 300 sec: 13662.6). Total num frames: 7405568. Throughput: 0: 14404.3. Samples: 7399936. Policy #0 lag: (min: 3.0, avg: 7.5, max: 67.0)
-[2026-06-03 02:39:17,188][694701] Avg episode reward: [(0, '3675.450')]
-[2026-06-03 02:39:17,193][695578] Saving new best policy, reward=3675.450!
-[2026-06-03 02:39:18,266][695648] Updated weights for policy 0, policy_version 14525 (0.0011)
-[2026-06-03 02:39:20,622][695648] Updated weights for policy 0, policy_version 14589 (0.0012)
-[2026-06-03 02:39:22,187][694701] Fps is (10 sec: 13107.3, 60 sec: 14199.5, 300 sec: 13662.6). Total num frames: 7471104. Throughput: 0: 14415.7. Samples: 7486464. Policy #0 lag: (min: 3.0, avg: 7.5, max: 67.0)
-[2026-06-03 02:39:22,188][694701] Avg episode reward: [(0, '3910.250')]
-[2026-06-03 02:39:22,194][695578] Saving new best policy, reward=3910.250!
-[2026-06-03 02:39:22,786][695648] Updated weights for policy 0, policy_version 14656 (0.0012)
-[2026-06-03 02:39:26,905][695648] Updated weights for policy 0, policy_version 14736 (0.0012)
-[2026-06-03 02:39:27,187][694701] Fps is (10 sec: 15564.8, 60 sec: 14609.1, 300 sec: 13745.9). Total num frames: 7561216. Throughput: 0: 14472.5. Samples: 7533568. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0)
-[2026-06-03 02:39:27,188][694701] Avg episode reward: [(0, '3979.250')]
-[2026-06-03 02:39:27,313][695578] Saving new best policy, reward=3979.250!
-[2026-06-03 02:39:29,287][695648] Updated weights for policy 0, policy_version 14802 (0.0012)
-[2026-06-03 02:39:31,638][695648] Updated weights for policy 0, policy_version 14880 (0.0013)
-[2026-06-03 02:39:32,187][694701] Fps is (10 sec: 16383.8, 60 sec: 14745.6, 300 sec: 13773.7). Total num frames: 7634944. Throughput: 0: 14404.3. Samples: 7616000. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0)
-[2026-06-03 02:39:32,188][694701] Avg episode reward: [(0, '3929.950')]
-[2026-06-03 02:39:32,193][695578] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed14/checkpoint_p0/checkpoint_000014912_7634944.pth...
-[2026-06-03 02:39:33,816][695578] Signal inference workers to stop experience collection... (700 times)
-[2026-06-03 02:39:33,845][695648] InferenceWorker_p0-w0: stopping experience collection (700 times)
-[2026-06-03 02:39:33,938][695578] Signal inference workers to resume experience collection... (700 times)
-[2026-06-03 02:39:33,939][695648] InferenceWorker_p0-w0: resuming experience collection (700 times)
-[2026-06-03 02:39:33,941][695648] Updated weights for policy 0, policy_version 14944 (0.0012)
-[2026-06-03 02:39:36,249][695648] Updated weights for policy 0, policy_version 15010 (0.0012)
-[2026-06-03 02:39:37,187][694701] Fps is (10 sec: 13926.4, 60 sec: 14472.5, 300 sec: 13773.7). Total num frames: 7700480. Throughput: 0: 14358.8. Samples: 7702016. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0)
-[2026-06-03 02:39:37,188][694701] Avg episode reward: [(0, '3849.600')]
-[2026-06-03 02:39:38,708][695648] Updated weights for policy 0, policy_version 15088 (0.0008)
-[2026-06-03 02:39:41,157][695648] Updated weights for policy 0, policy_version 15161 (0.0011)
-[2026-06-03 02:39:42,187][694701] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 13773.7). Total num frames: 7766016. Throughput: 0: 14336.0. Samples: 7743488. Policy #0 lag: (min: 0.0, avg: 4.4, max: 64.0)
-[2026-06-03 02:39:42,188][694701] Avg episode reward: [(0, '3788.450')]
-[2026-06-03 02:39:43,383][695648] Updated weights for policy 0, policy_version 15229 (0.0011)
-[2026-06-03 02:39:45,706][695648] Updated weights for policy 0, policy_version 15296 (0.0011)
-[2026-06-03 02:39:47,187][694701] Fps is (10 sec: 13107.1, 60 sec: 14199.5, 300 sec: 13773.7). Total num frames: 7831552. Throughput: 0: 14415.7. Samples: 7832576. Policy #0 lag: (min: 0.0, avg: 4.4, max: 64.0)
-[2026-06-03 02:39:47,188][694701] Avg episode reward: [(0, '3846.350')]
-[2026-06-03 02:39:49,924][695648] Updated weights for policy 0, policy_version 15379 (0.0010)
-[2026-06-03 02:39:52,187][694701] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 13773.7). Total num frames: 7897088. Throughput: 0: 14358.8. Samples: 7916544. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0)
-[2026-06-03 02:39:52,188][694701] Avg episode reward: [(0, '4072.000')]
-[2026-06-03 02:39:52,278][695648] Updated weights for policy 0, policy_version 15442 (0.0009)
-[2026-06-03 02:39:52,363][695578] Saving new best policy, reward=4072.000!
-[2026-06-03 02:39:54,721][695648] Updated weights for policy 0, policy_version 15520 (0.0011)
-[2026-06-03 02:39:57,180][695648] Updated weights for policy 0, policy_version 15603 (0.0011)
-[2026-06-03 02:39:57,187][694701] Fps is (10 sec: 15564.9, 60 sec: 14609.1, 300 sec: 13857.0). Total num frames: 7987200. Throughput: 0: 14415.7. Samples: 7959040. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0)
-[2026-06-03 02:39:57,188][694701] Avg episode reward: [(0, '3953.700')]
-[2026-06-03 02:39:59,426][695648] Updated weights for policy 0, policy_version 15664 (0.0012)
-[2026-06-03 02:40:01,761][695648] Updated weights for policy 0, policy_version 15732 (0.0009)
-[2026-06-03 02:40:02,187][694701] Fps is (10 sec: 16383.9, 60 sec: 14336.0, 300 sec: 13884.7). Total num frames: 8060928. Throughput: 0: 14313.2. Samples: 8044032. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:40:02,188][694701] Avg episode reward: [(0, '3993.200')]
-[2026-06-03 02:40:03,862][695648] Updated weights for policy 0, policy_version 15792 (0.0009)
-[2026-06-03 02:40:06,228][695648] Updated weights for policy 0, policy_version 15861 (0.0010)
-[2026-06-03 02:40:07,187][694701] Fps is (10 sec: 13926.4, 60 sec: 14199.5, 300 sec: 13912.5). Total num frames: 8126464. Throughput: 0: 14301.8. Samples: 8130048. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:40:07,188][694701] Avg episode reward: [(0, '4104.050')]
-[2026-06-03 02:40:07,192][695578] Saving new best policy, reward=4104.050!
-[2026-06-03 02:40:08,594][695648] Updated weights for policy 0, policy_version 15929 (0.0008)
-[2026-06-03 02:40:10,836][695648] Updated weights for policy 0, policy_version 15998 (0.0011)
-[2026-06-03 02:40:12,187][694701] Fps is (10 sec: 13107.3, 60 sec: 14199.5, 300 sec: 13912.5). Total num frames: 8192000. Throughput: 0: 14233.6. Samples: 8174080. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:40:12,188][694701] Avg episode reward: [(0, '4269.650')]
-[2026-06-03 02:40:12,192][695578] Saving new best policy, reward=4269.650!
-[2026-06-03 02:40:12,600][695578] Signal inference workers to stop experience collection... (750 times)
-[2026-06-03 02:40:12,629][695648] InferenceWorker_p0-w0: stopping experience collection (750 times)
-[2026-06-03 02:40:12,744][695578] Signal inference workers to resume experience collection... (750 times)
-[2026-06-03 02:40:12,745][695648] InferenceWorker_p0-w0: resuming experience collection (750 times)
-[2026-06-03 02:40:13,180][695648] Updated weights for policy 0, policy_version 16064 (0.0010)
-[2026-06-03 02:40:15,519][695648] Updated weights for policy 0, policy_version 16128 (0.0011)
-[2026-06-03 02:40:17,187][694701] Fps is (10 sec: 13107.3, 60 sec: 14199.5, 300 sec: 13940.3). Total num frames: 8257536. Throughput: 0: 14301.9. Samples: 8259584. Policy #0 lag: (min: 19.0, avg: 23.0, max: 83.0)
-[2026-06-03 02:40:17,188][694701] Avg episode reward: [(0, '4399.750')]
-[2026-06-03 02:40:17,192][695578] Saving new best policy, reward=4399.750!
-[2026-06-03 02:40:19,715][695648] Updated weights for policy 0, policy_version 16208 (0.0011)
-[2026-06-03 02:40:21,946][695648] Updated weights for policy 0, policy_version 16274 (0.0011)
-[2026-06-03 02:40:22,187][694701] Fps is (10 sec: 15564.9, 60 sec: 14609.1, 300 sec: 14051.4). Total num frames: 8347648. Throughput: 0: 14336.0. Samples: 8347136. Policy #0 lag: (min: 19.0, avg: 23.0, max: 83.0)
-[2026-06-03 02:40:22,188][694701] Avg episode reward: [(0, '4342.650')]
-[2026-06-03 02:40:24,433][695648] Updated weights for policy 0, policy_version 16352 (0.0013)
-[2026-06-03 02:40:26,779][695648] Updated weights for policy 0, policy_version 16418 (0.0012)
-[2026-06-03 02:40:27,187][694701] Fps is (10 sec: 16384.0, 60 sec: 14336.0, 300 sec: 14079.1). Total num frames: 8421376. Throughput: 0: 14358.8. Samples: 8389632. Policy #0 lag: (min: 31.0, avg: 36.1, max: 95.0)
-[2026-06-03 02:40:27,188][694701] Avg episode reward: [(0, '4357.550')]
-[2026-06-03 02:40:29,237][695648] Updated weights for policy 0, policy_version 16496 (0.0014)
-[2026-06-03 02:40:31,434][695648] Updated weights for policy 0, policy_version 16546 (0.0012)
-[2026-06-03 02:40:32,187][694701] Fps is (10 sec: 13926.4, 60 sec: 14199.5, 300 sec: 14079.1). Total num frames: 8486912. Throughput: 0: 14233.6. Samples: 8473088. Policy #0 lag: (min: 31.0, avg: 36.1, max: 95.0)
-[2026-06-03 02:40:32,188][694701] Avg episode reward: [(0, '4283.800')]
-[2026-06-03 02:40:33,747][695648] Updated weights for policy 0, policy_version 16608 (0.0012)
-[2026-06-03 02:40:35,960][695648] Updated weights for policy 0, policy_version 16672 (0.0011)
-[2026-06-03 02:40:37,187][694701] Fps is (10 sec: 13107.0, 60 sec: 14199.5, 300 sec: 14051.4). Total num frames: 8552448. Throughput: 0: 14233.6. Samples: 8557056. Policy #0 lag: (min: 53.0, avg: 59.0, max: 117.0)
-[2026-06-03 02:40:37,188][694701] Avg episode reward: [(0, '4252.550')]
-[2026-06-03 02:40:38,214][695648] Updated weights for policy 0, policy_version 16736 (0.0014)
-[2026-06-03 02:40:40,644][695648] Updated weights for policy 0, policy_version 16802 (0.0014)
-[2026-06-03 02:40:42,187][694701] Fps is (10 sec: 13107.3, 60 sec: 14199.5, 300 sec: 14051.4). Total num frames: 8617984. Throughput: 0: 14279.1. Samples: 8601600. Policy #0 lag: (min: 53.0, avg: 59.0, max: 117.0)
-[2026-06-03 02:40:42,188][694701] Avg episode reward: [(0, '4334.700')]
-[2026-06-03 02:40:43,098][695648] Updated weights for policy 0, policy_version 16882 (0.0010)
-[2026-06-03 02:40:45,461][695648] Updated weights for policy 0, policy_version 16947 (0.0016)
-[2026-06-03 02:40:47,187][694701] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14023.6). Total num frames: 8683520. Throughput: 0: 14256.4. Samples: 8685568. Policy #0 lag: (min: 53.0, avg: 59.0, max: 117.0)
-[2026-06-03 02:40:47,188][694701] Avg episode reward: [(0, '4272.350')]
-[2026-06-03 02:40:47,893][695648] Updated weights for policy 0, policy_version 17017 (0.0012)
-[2026-06-03 02:40:50,097][695578] Signal inference workers to stop experience collection... (800 times)
-[2026-06-03 02:40:50,124][695648] InferenceWorker_p0-w0: stopping experience collection (800 times)
-[2026-06-03 02:40:50,224][695578] Signal inference workers to resume experience collection... (800 times)
-[2026-06-03 02:40:50,225][695648] InferenceWorker_p0-w0: resuming experience collection (800 times)
-[2026-06-03 02:40:50,343][695648] Updated weights for policy 0, policy_version 17081 (0.0010)
-[2026-06-03 02:40:52,187][694701] Fps is (10 sec: 13107.1, 60 sec: 14199.5, 300 sec: 14023.6). Total num frames: 8749056. Throughput: 0: 14176.7. Samples: 8768000. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0)
-[2026-06-03 02:40:52,188][694701] Avg episode reward: [(0, '4440.450')]
-[2026-06-03 02:40:52,427][695578] Saving new best policy, reward=4440.450!
-[2026-06-03 02:40:52,769][695648] Updated weights for policy 0, policy_version 17152 (0.0011)
-[2026-06-03 02:40:57,155][695648] Updated weights for policy 0, policy_version 17248 (0.0013)
-[2026-06-03 02:40:57,187][694701] Fps is (10 sec: 14745.6, 60 sec: 14062.9, 300 sec: 14051.4). Total num frames: 8830976. Throughput: 0: 14131.2. Samples: 8809984. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0)
-[2026-06-03 02:40:57,188][694701] Avg episode reward: [(0, '4573.800')]
-[2026-06-03 02:40:57,469][695578] Saving new best policy, reward=4573.800!
-[2026-06-03 02:40:59,245][695648] Updated weights for policy 0, policy_version 17300 (0.0011)
-[2026-06-03 02:41:01,540][695648] Updated weights for policy 0, policy_version 17376 (0.0011)
-[2026-06-03 02:41:02,187][694701] Fps is (10 sec: 16384.0, 60 sec: 14199.5, 300 sec: 14106.9). Total num frames: 8912896. Throughput: 0: 14119.8. Samples: 8894976. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0)
-[2026-06-03 02:41:02,188][694701] Avg episode reward: [(0, '4848.900')]
-[2026-06-03 02:41:02,192][695578] Saving new best policy, reward=4848.900!
-[2026-06-03 02:41:03,680][695648] Updated weights for policy 0, policy_version 17424 (0.0010)
-[2026-06-03 02:41:05,850][695648] Updated weights for policy 0, policy_version 17474 (0.0012)
-[2026-06-03 02:41:06,373][695648] Updated weights for policy 0, policy_version 17535 (0.0009)
-[2026-06-03 02:41:07,187][694701] Fps is (10 sec: 14745.8, 60 sec: 14199.5, 300 sec: 14106.9). Total num frames: 8978432. Throughput: 0: 14097.1. Samples: 8981504. Policy #0 lag: (min: 10.0, avg: 15.2, max: 74.0)
-[2026-06-03 02:41:07,188][694701] Avg episode reward: [(0, '4850.000')]
-[2026-06-03 02:41:07,193][695578] Saving new best policy, reward=4850.000!
-[2026-06-03 02:41:08,658][695648] Updated weights for policy 0, policy_version 17600 (0.0011)
-[2026-06-03 02:41:12,187][694701] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14106.9). Total num frames: 9043968. Throughput: 0: 14153.9. Samples: 9026560. Policy #0 lag: (min: 10.0, avg: 15.2, max: 74.0)
-[2026-06-03 02:41:12,188][694701] Avg episode reward: [(0, '4965.550')]
-[2026-06-03 02:41:12,192][695578] Saving new best policy, reward=4965.550!
-[2026-06-03 02:41:12,675][695648] Updated weights for policy 0, policy_version 17680 (0.0010)
-[2026-06-03 02:41:15,149][695648] Updated weights for policy 0, policy_version 17760 (0.0013)
-[2026-06-03 02:41:17,187][694701] Fps is (10 sec: 13107.1, 60 sec: 14199.4, 300 sec: 14106.9). Total num frames: 9109504. Throughput: 0: 14210.8. Samples: 9112576. Policy #0 lag: (min: 10.0, avg: 15.2, max: 74.0)
-[2026-06-03 02:41:17,188][694701] Avg episode reward: [(0, '5121.350')]
-[2026-06-03 02:41:17,192][695578] Saving new best policy, reward=5121.350!
-[2026-06-03 02:41:17,512][695648] Updated weights for policy 0, policy_version 17826 (0.0011)
-[2026-06-03 02:41:19,870][695648] Updated weights for policy 0, policy_version 17904 (0.0012)
-[2026-06-03 02:41:22,187][694701] Fps is (10 sec: 14745.5, 60 sec: 14062.9, 300 sec: 14162.4). Total num frames: 9191424. Throughput: 0: 14256.4. Samples: 9198592. Policy #0 lag: (min: 0.0, avg: 5.2, max: 64.0)
-[2026-06-03 02:41:22,189][694701] Avg episode reward: [(0, '4909.150')]
-[2026-06-03 02:41:22,209][695648] Updated weights for policy 0, policy_version 17968 (0.0014)
-[2026-06-03 02:41:24,452][695648] Updated weights for policy 0, policy_version 18032 (0.0011)
-[2026-06-03 02:41:26,904][695648] Updated weights for policy 0, policy_version 18101 (0.0014)
-[2026-06-03 02:41:27,187][694701] Fps is (10 sec: 16384.1, 60 sec: 14199.4, 300 sec: 14218.0). Total num frames: 9273344. Throughput: 0: 14222.2. Samples: 9241600. Policy #0 lag: (min: 0.0, avg: 5.2, max: 64.0)
-[2026-06-03 02:41:27,188][694701] Avg episode reward: [(0, '4823.950')]
-[2026-06-03 02:41:28,912][695578] Signal inference workers to stop experience collection... (850 times)
-[2026-06-03 02:41:28,945][695648] InferenceWorker_p0-w0: stopping experience collection (850 times)
-[2026-06-03 02:41:29,040][695578] Signal inference workers to resume experience collection... (850 times)
-[2026-06-03 02:41:29,041][695648] InferenceWorker_p0-w0: resuming experience collection (850 times)
-[2026-06-03 02:41:29,226][695648] Updated weights for policy 0, policy_version 18163 (0.0015)
-[2026-06-03 02:41:31,578][695648] Updated weights for policy 0, policy_version 18229 (0.0014)
-[2026-06-03 02:41:32,187][694701] Fps is (10 sec: 14745.7, 60 sec: 14199.5, 300 sec: 14218.0). Total num frames: 9338880. Throughput: 0: 14222.2. Samples: 9325568. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0)
-[2026-06-03 02:41:32,188][694701] Avg episode reward: [(0, '4923.100')]
-[2026-06-03 02:41:33,976][695648] Updated weights for policy 0, policy_version 18295 (0.0014)
-[2026-06-03 02:41:36,256][695648] Updated weights for policy 0, policy_version 18354 (0.0013)
-[2026-06-03 02:41:37,187][694701] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14218.0). Total num frames: 9404416. Throughput: 0: 14210.8. Samples: 9407488. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0)
-[2026-06-03 02:41:37,188][694701] Avg episode reward: [(0, '4832.350')]
-[2026-06-03 02:41:38,589][695648] Updated weights for policy 0, policy_version 18418 (0.0013)
-[2026-06-03 02:41:40,824][695648] Updated weights for policy 0, policy_version 18480 (0.0011)
-[2026-06-03 02:41:42,187][694701] Fps is (10 sec: 13107.3, 60 sec: 14199.5, 300 sec: 14218.0). Total num frames: 9469952. Throughput: 0: 14233.7. Samples: 9450496. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0)
-[2026-06-03 02:41:42,188][694701] Avg episode reward: [(0, '4792.400')]
-[2026-06-03 02:41:43,274][695648] Updated weights for policy 0, policy_version 18549 (0.0011)
-[2026-06-03 02:41:45,704][695648] Updated weights for policy 0, policy_version 18614 (0.0012)
-[2026-06-03 02:41:47,187][694701] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14162.4). Total num frames: 9535488. Throughput: 0: 14245.0. Samples: 9536000. Policy #0 lag: (min: 10.0, avg: 15.0, max: 74.0)
-[2026-06-03 02:41:47,188][694701] Avg episode reward: [(0, '4781.400')]
-[2026-06-03 02:41:48,150][695648] Updated weights for policy 0, policy_version 18682 (0.0013)
-[2026-06-03 02:41:50,622][695648] Updated weights for policy 0, policy_version 18751 (0.0013)
-[2026-06-03 02:41:52,187][694701] Fps is (10 sec: 13107.0, 60 sec: 14199.4, 300 sec: 14134.7). Total num frames: 9601024. Throughput: 0: 14062.9. Samples: 9614336. Policy #0 lag: (min: 10.0, avg: 15.0, max: 74.0)
-[2026-06-03 02:41:52,189][694701] Avg episode reward: [(0, '4633.350')]
-[2026-06-03 02:41:52,951][695648] Updated weights for policy 0, policy_version 18816 (0.0011)
-[2026-06-03 02:41:57,163][695648] Updated weights for policy 0, policy_version 18882 (0.0011)
-[2026-06-03 02:41:57,187][694701] Fps is (10 sec: 13107.1, 60 sec: 13926.4, 300 sec: 14106.9). Total num frames: 9666560. Throughput: 0: 14973.1. Samples: 9700352. Policy #0 lag: (min: 10.0, avg: 15.0, max: 74.0)
-[2026-06-03 02:41:57,188][694701] Avg episode reward: [(0, '4961.800')]
-[2026-06-03 02:41:59,508][695648] Updated weights for policy 0, policy_version 18946 (0.0011)
-[2026-06-03 02:42:01,950][695648] Updated weights for policy 0, policy_version 19024 (0.0010)
-[2026-06-03 02:42:02,187][694701] Fps is (10 sec: 14745.9, 60 sec: 13926.4, 300 sec: 14162.4). Total num frames: 9748480. Throughput: 0: 13937.8. Samples: 9739776. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0)
-[2026-06-03 02:42:02,188][694701] Avg episode reward: [(0, '4805.050')]
-[2026-06-03 02:42:04,135][695648] Updated weights for policy 0, policy_version 19074 (0.0012)
-[2026-06-03 02:42:04,689][695648] Updated weights for policy 0, policy_version 19136 (0.0012)
-[2026-06-03 02:42:06,910][695648] Updated weights for policy 0, policy_version 19195 (0.0012)
-[2026-06-03 02:42:07,187][694701] Fps is (10 sec: 16384.2, 60 sec: 14199.4, 300 sec: 14218.0). Total num frames: 9830400. Throughput: 0: 13983.3. Samples: 9827840. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0)
-[2026-06-03 02:42:07,188][694701] Avg episode reward: [(0, '4859.000')]
-[2026-06-03 02:42:08,689][695578] Signal inference workers to stop experience collection... (900 times)
-[2026-06-03 02:42:08,716][695648] InferenceWorker_p0-w0: stopping experience collection (900 times)
-[2026-06-03 02:42:08,844][695578] Signal inference workers to resume experience collection... (900 times)
-[2026-06-03 02:42:08,844][695648] InferenceWorker_p0-w0: resuming experience collection (900 times)
-[2026-06-03 02:42:09,200][695648] Updated weights for policy 0, policy_version 19254 (0.0012)
-[2026-06-03 02:42:11,541][695648] Updated weights for policy 0, policy_version 19318 (0.0012)
-[2026-06-03 02:42:12,187][694701] Fps is (10 sec: 14745.6, 60 sec: 14199.5, 300 sec: 14218.0). Total num frames: 9895936. Throughput: 0: 13915.0. Samples: 9867776. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0)
-[2026-06-03 02:42:12,188][694701] Avg episode reward: [(0, '4957.900')]
-[2026-06-03 02:42:13,780][695648] Updated weights for policy 0, policy_version 19378 (0.0013)
-[2026-06-03 02:42:16,329][695648] Updated weights for policy 0, policy_version 19456 (0.0013)
-[2026-06-03 02:42:17,187][694701] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14218.0). Total num frames: 9961472. Throughput: 0: 13937.8. Samples: 9952768. Policy #0 lag: (min: 14.0, avg: 19.2, max: 78.0)
-[2026-06-03 02:42:17,188][694701] Avg episode reward: [(0, '4923.250')]
-[2026-06-03 02:42:18,689][695648] Updated weights for policy 0, policy_version 19515 (0.0012)
-[2026-06-03 02:42:20,964][695648] Updated weights for policy 0, policy_version 19581 (0.0011)
-[2026-06-03 02:42:22,187][694701] Fps is (10 sec: 13107.1, 60 sec: 13926.4, 300 sec: 14218.0). Total num frames: 10027008. Throughput: 0: 13983.3. Samples: 10036736. Policy #0 lag: (min: 14.0, avg: 19.2, max: 78.0)
-[2026-06-03 02:42:22,188][694701] Avg episode reward: [(0, '5015.900')]
-[2026-06-03 02:42:23,214][695648] Updated weights for policy 0, policy_version 19645 (0.0012)
-[2026-06-03 02:42:25,570][695648] Updated weights for policy 0, policy_version 19707 (0.0008)
-[2026-06-03 02:42:27,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 14190.2). Total num frames: 10092544. Throughput: 0: 13994.6. Samples: 10080256. Policy #0 lag: (min: 14.0, avg: 19.2, max: 78.0)
-[2026-06-03 02:42:27,189][694701] Avg episode reward: [(0, '5232.200')]
-[2026-06-03 02:42:27,193][695578] Saving new best policy, reward=5232.200!
-[2026-06-03 02:42:27,787][695648] Updated weights for policy 0, policy_version 19773 (0.0010)
-[2026-06-03 02:42:30,052][695648] Updated weights for policy 0, policy_version 19839 (0.0008)
-[2026-06-03 02:42:32,188][694701] Fps is (10 sec: 15564.1, 60 sec: 14062.8, 300 sec: 14190.2). Total num frames: 10182656. Throughput: 0: 14017.3. Samples: 10166784. Policy #0 lag: (min: 4.0, avg: 9.1, max: 68.0)
-[2026-06-03 02:42:32,189][694701] Avg episode reward: [(0, '5209.200')]
-[2026-06-03 02:42:32,280][695648] Updated weights for policy 0, policy_version 19902 (0.0013)
-[2026-06-03 02:42:34,674][695648] Updated weights for policy 0, policy_version 19968 (0.0011)
-[2026-06-03 02:42:36,902][695648] Updated weights for policy 0, policy_version 20032 (0.0011)
-[2026-06-03 02:42:37,188][694701] Fps is (10 sec: 16383.3, 60 sec: 14199.4, 300 sec: 14218.0). Total num frames: 10256384. Throughput: 0: 14267.6. Samples: 10256384. Policy #0 lag: (min: 4.0, avg: 9.1, max: 68.0)
-[2026-06-03 02:42:37,189][694701] Avg episode reward: [(0, '5429.950')]
-[2026-06-03 02:42:37,197][695578] Saving new best policy, reward=5429.950!
-[2026-06-03 02:42:39,064][695648] Updated weights for policy 0, policy_version 20091 (0.0016)
-[2026-06-03 02:42:41,397][695648] Updated weights for policy 0, policy_version 20158 (0.0014)
-[2026-06-03 02:42:42,187][694701] Fps is (10 sec: 13926.9, 60 sec: 14199.4, 300 sec: 14218.0). Total num frames: 10321920. Throughput: 0: 13255.1. Samples: 10296832. Policy #0 lag: (min: 18.0, avg: 23.2, max: 82.0)
-[2026-06-03 02:42:42,189][694701] Avg episode reward: [(0, '5254.650')]
-[2026-06-03 02:42:43,852][695648] Updated weights for policy 0, policy_version 20224 (0.0015)
-[2026-06-03 02:42:45,932][695578] Signal inference workers to stop experience collection... (950 times)
-[2026-06-03 02:42:45,964][695648] InferenceWorker_p0-w0: stopping experience collection (950 times)
-[2026-06-03 02:42:46,054][695578] Signal inference workers to resume experience collection... (950 times)
-[2026-06-03 02:42:46,054][695648] InferenceWorker_p0-w0: resuming experience collection (950 times)
-[2026-06-03 02:42:47,187][694701] Fps is (10 sec: 13107.6, 60 sec: 14199.5, 300 sec: 14218.0). Total num frames: 10387456. Throughput: 0: 14256.3. Samples: 10381312. Policy #0 lag: (min: 18.0, avg: 23.2, max: 82.0)
-[2026-06-03 02:42:47,189][694701] Avg episode reward: [(0, '5261.950')]
-[2026-06-03 02:42:47,921][695648] Updated weights for policy 0, policy_version 20290 (0.0012)
-[2026-06-03 02:42:50,249][695648] Updated weights for policy 0, policy_version 20354 (0.0011)
-[2026-06-03 02:42:52,187][694701] Fps is (10 sec: 13107.3, 60 sec: 14199.5, 300 sec: 14218.0). Total num frames: 10452992. Throughput: 0: 14142.6. Samples: 10464256. Policy #0 lag: (min: 18.0, avg: 23.2, max: 82.0)
-[2026-06-03 02:42:52,188][694701] Avg episode reward: [(0, '5088.850')]
-[2026-06-03 02:42:52,658][695648] Updated weights for policy 0, policy_version 20418 (0.0011)
-[2026-06-03 02:42:53,221][695648] Updated weights for policy 0, policy_version 20480 (0.0011)
-[2026-06-03 02:42:55,585][695648] Updated weights for policy 0, policy_version 20544 (0.0012)
-[2026-06-03 02:42:57,187][694701] Fps is (10 sec: 13107.3, 60 sec: 14199.5, 300 sec: 14218.0). Total num frames: 10518528. Throughput: 0: 14199.4. Samples: 10506752. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
-[2026-06-03 02:42:57,188][694701] Avg episode reward: [(0, '4750.450')]
-[2026-06-03 02:42:59,666][695648] Updated weights for policy 0, policy_version 20610 (0.0012)
-[2026-06-03 02:43:01,936][695648] Updated weights for policy 0, policy_version 20688 (0.0011)
-[2026-06-03 02:43:02,187][694701] Fps is (10 sec: 14745.4, 60 sec: 14199.4, 300 sec: 14245.8). Total num frames: 10600448. Throughput: 0: 14153.9. Samples: 10589696. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
-[2026-06-03 02:43:02,188][694701] Avg episode reward: [(0, '4898.050')]
-[2026-06-03 02:43:04,280][695648] Updated weights for policy 0, policy_version 20752 (0.0011)
-[2026-06-03 02:43:06,889][695648] Updated weights for policy 0, policy_version 20848 (0.0013)
-[2026-06-03 02:43:07,187][694701] Fps is (10 sec: 16383.8, 60 sec: 14199.4, 300 sec: 14218.0). Total num frames: 10682368. Throughput: 0: 14244.9. Samples: 10677760. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
-[2026-06-03 02:43:07,189][694701] Avg episode reward: [(0, '4891.450')]
-[2026-06-03 02:43:09,332][695648] Updated weights for policy 0, policy_version 20913 (0.0011)
-[2026-06-03 02:43:11,610][695648] Updated weights for policy 0, policy_version 20978 (0.0012)
-[2026-06-03 02:43:12,188][694701] Fps is (10 sec: 14745.2, 60 sec: 14199.4, 300 sec: 14218.0). Total num frames: 10747904. Throughput: 0: 14188.0. Samples: 10718720. Policy #0 lag: (min: 49.0, avg: 52.9, max: 113.0)
-[2026-06-03 02:43:12,191][694701] Avg episode reward: [(0, '5232.100')]
-[2026-06-03 02:43:13,803][695648] Updated weights for policy 0, policy_version 21026 (0.0010)
-[2026-06-03 02:43:16,199][695648] Updated weights for policy 0, policy_version 21104 (0.0012)
-[2026-06-03 02:43:17,187][694701] Fps is (10 sec: 13107.3, 60 sec: 14199.5, 300 sec: 14218.0). Total num frames: 10813440. Throughput: 0: 14176.8. Samples: 10804736. Policy #0 lag: (min: 49.0, avg: 52.9, max: 113.0)
-[2026-06-03 02:43:17,188][694701] Avg episode reward: [(0, '5482.400')]
-[2026-06-03 02:43:17,193][695578] Saving new best policy, reward=5482.400!
-[2026-06-03 02:43:18,555][695648] Updated weights for policy 0, policy_version 21169 (0.0013)
-[2026-06-03 02:43:20,974][695648] Updated weights for policy 0, policy_version 21234 (0.0012)
-[2026-06-03 02:43:22,187][694701] Fps is (10 sec: 13107.6, 60 sec: 14199.5, 300 sec: 14218.0). Total num frames: 10878976. Throughput: 0: 13983.4. Samples: 10885632. Policy #0 lag: (min: 49.0, avg: 52.9, max: 113.0)
-[2026-06-03 02:43:22,188][694701] Avg episode reward: [(0, '5421.800')]
-[2026-06-03 02:43:23,405][695648] Updated weights for policy 0, policy_version 21301 (0.0012)
-[2026-06-03 02:43:25,321][695578] Signal inference workers to stop experience collection... (1000 times)
-[2026-06-03 02:43:25,352][695648] InferenceWorker_p0-w0: stopping experience collection (1000 times)
-[2026-06-03 02:43:25,451][695578] Signal inference workers to resume experience collection... (1000 times)
-[2026-06-03 02:43:25,451][695648] InferenceWorker_p0-w0: resuming experience collection (1000 times)
-[2026-06-03 02:43:25,672][695648] Updated weights for policy 0, policy_version 21367 (0.0012)
-[2026-06-03 02:43:27,187][694701] Fps is (10 sec: 13107.1, 60 sec: 14199.4, 300 sec: 14218.0). Total num frames: 10944512. Throughput: 0: 14040.2. Samples: 10928640. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:43:27,189][694701] Avg episode reward: [(0, '5281.500')]
-[2026-06-03 02:43:28,034][695648] Updated weights for policy 0, policy_version 21431 (0.0012)
-[2026-06-03 02:43:30,288][695648] Updated weights for policy 0, policy_version 21495 (0.0014)
-[2026-06-03 02:43:32,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13790.0, 300 sec: 14162.4). Total num frames: 11010048. Throughput: 0: 14040.2. Samples: 11013120. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:43:32,188][694701] Avg episode reward: [(0, '5262.450')]
-[2026-06-03 02:43:32,780][695648] Updated weights for policy 0, policy_version 21563 (0.0011)
-[2026-06-03 02:43:35,152][695648] Updated weights for policy 0, policy_version 21624 (0.0011)
-[2026-06-03 02:43:37,187][694701] Fps is (10 sec: 14745.7, 60 sec: 13926.5, 300 sec: 14162.4). Total num frames: 11091968. Throughput: 0: 14074.3. Samples: 11097600. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:43:37,189][694701] Avg episode reward: [(0, '5104.350')]
-[2026-06-03 02:43:39,347][695648] Updated weights for policy 0, policy_version 21697 (0.0011)
-[2026-06-03 02:43:41,929][695648] Updated weights for policy 0, policy_version 21792 (0.0011)
-[2026-06-03 02:43:42,187][694701] Fps is (10 sec: 15564.7, 60 sec: 14062.9, 300 sec: 14190.2). Total num frames: 11165696. Throughput: 0: 14074.3. Samples: 11140096. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0)
-[2026-06-03 02:43:42,189][694701] Avg episode reward: [(0, '5132.650')]
-[2026-06-03 02:43:44,378][695648] Updated weights for policy 0, policy_version 21872 (0.0012)
-[2026-06-03 02:43:46,581][695648] Updated weights for policy 0, policy_version 21936 (0.0010)
-[2026-06-03 02:43:47,188][694701] Fps is (10 sec: 14745.7, 60 sec: 14199.5, 300 sec: 14218.0). Total num frames: 11239424. Throughput: 0: 14074.3. Samples: 11223040. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0)
-[2026-06-03 02:43:47,190][694701] Avg episode reward: [(0, '5347.400')]
-[2026-06-03 02:43:49,006][695648] Updated weights for policy 0, policy_version 22000 (0.0012)
-[2026-06-03 02:43:51,314][695648] Updated weights for policy 0, policy_version 22051 (0.0014)
-[2026-06-03 02:43:52,187][694701] Fps is (10 sec: 13926.5, 60 sec: 14199.5, 300 sec: 14218.0). Total num frames: 11304960. Throughput: 0: 13983.3. Samples: 11307008. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0)
-[2026-06-03 02:43:52,188][694701] Avg episode reward: [(0, '5461.000')]
-[2026-06-03 02:43:53,367][695648] Updated weights for policy 0, policy_version 22115 (0.0010)
-[2026-06-03 02:43:55,718][695648] Updated weights for policy 0, policy_version 22192 (0.0015)
-[2026-06-03 02:43:57,187][694701] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14134.7). Total num frames: 11370496. Throughput: 0: 14074.4. Samples: 11352064. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0)
-[2026-06-03 02:43:57,189][694701] Avg episode reward: [(0, '5871.900')]
-[2026-06-03 02:43:57,194][695578] Saving new best policy, reward=5871.900!
-[2026-06-03 02:43:58,039][695648] Updated weights for policy 0, policy_version 22256 (0.0011)
-[2026-06-03 02:44:00,440][695648] Updated weights for policy 0, policy_version 22321 (0.0010)
-[2026-06-03 02:44:02,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13926.4, 300 sec: 14106.9). Total num frames: 11436032. Throughput: 0: 14051.6. Samples: 11437056. Policy #0 lag: (min: 7.0, avg: 12.1, max: 71.0)
-[2026-06-03 02:44:02,189][694701] Avg episode reward: [(0, '5857.800')]
-[2026-06-03 02:44:02,910][695648] Updated weights for policy 0, policy_version 22391 (0.0013)
-[2026-06-03 02:44:04,797][695578] Signal inference workers to stop experience collection... (1050 times)
-[2026-06-03 02:44:04,827][695648] InferenceWorker_p0-w0: stopping experience collection (1050 times)
-[2026-06-03 02:44:04,940][695578] Signal inference workers to resume experience collection... (1050 times)
-[2026-06-03 02:44:04,941][695648] InferenceWorker_p0-w0: resuming experience collection (1050 times)
-[2026-06-03 02:44:05,294][695648] Updated weights for policy 0, policy_version 22457 (0.0015)
-[2026-06-03 02:44:07,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13653.4, 300 sec: 14106.9). Total num frames: 11501568. Throughput: 0: 14085.7. Samples: 11519488. Policy #0 lag: (min: 7.0, avg: 12.1, max: 71.0)
-[2026-06-03 02:44:07,188][694701] Avg episode reward: [(0, '5647.200')]
-[2026-06-03 02:44:07,804][695648] Updated weights for policy 0, policy_version 22528 (0.0013)
-[2026-06-03 02:44:12,133][695648] Updated weights for policy 0, policy_version 22608 (0.0014)
-[2026-06-03 02:44:12,187][694701] Fps is (10 sec: 13926.2, 60 sec: 13789.9, 300 sec: 14134.7). Total num frames: 11575296. Throughput: 0: 14028.8. Samples: 11559936. Policy #0 lag: (min: 7.0, avg: 12.1, max: 71.0)
-[2026-06-03 02:44:12,188][694701] Avg episode reward: [(0, '5698.050')]
-[2026-06-03 02:44:14,533][695648] Updated weights for policy 0, policy_version 22672 (0.0014)
-[2026-06-03 02:44:17,100][695648] Updated weights for policy 0, policy_version 22768 (0.0013)
-[2026-06-03 02:44:17,187][694701] Fps is (10 sec: 15564.7, 60 sec: 14062.9, 300 sec: 14190.2). Total num frames: 11657216. Throughput: 0: 13949.2. Samples: 11640832. Policy #0 lag: (min: 1.0, avg: 6.1, max: 65.0)
-[2026-06-03 02:44:17,188][694701] Avg episode reward: [(0, '5653.650')]
-[2026-06-03 02:44:19,535][695648] Updated weights for policy 0, policy_version 22839 (0.0012)
-[2026-06-03 02:44:22,188][694701] Fps is (10 sec: 15564.3, 60 sec: 14199.4, 300 sec: 14134.7). Total num frames: 11730944. Throughput: 0: 13994.6. Samples: 11727360. Policy #0 lag: (min: 1.0, avg: 6.1, max: 65.0)
-[2026-06-03 02:44:22,190][694701] Avg episode reward: [(0, '5489.900')]
-[2026-06-03 02:44:24,008][695648] Updated weights for policy 0, policy_version 22928 (0.0012)
-[2026-06-03 02:44:26,329][695648] Updated weights for policy 0, policy_version 22993 (0.0015)
-[2026-06-03 02:44:27,187][694701] Fps is (10 sec: 13926.3, 60 sec: 14199.5, 300 sec: 14106.9). Total num frames: 11796480. Throughput: 0: 13926.4. Samples: 11766784. Policy #0 lag: (min: 1.0, avg: 6.1, max: 65.0)
-[2026-06-03 02:44:27,188][694701] Avg episode reward: [(0, '5642.500')]
-[2026-06-03 02:44:28,611][695648] Updated weights for policy 0, policy_version 23056 (0.0012)
-[2026-06-03 02:44:30,862][695648] Updated weights for policy 0, policy_version 23120 (0.0013)
-[2026-06-03 02:44:32,187][694701] Fps is (10 sec: 13107.5, 60 sec: 14199.4, 300 sec: 14106.9). Total num frames: 11862016. Throughput: 0: 14017.4. Samples: 11853824. Policy #0 lag: (min: 5.0, avg: 10.7, max: 69.0)
-[2026-06-03 02:44:32,188][694701] Avg episode reward: [(0, '5567.300')]
-[2026-06-03 02:44:33,217][695648] Updated weights for policy 0, policy_version 23184 (0.0014)
-[2026-06-03 02:44:35,537][695648] Updated weights for policy 0, policy_version 23248 (0.0014)
-[2026-06-03 02:44:37,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13926.4, 300 sec: 14106.9). Total num frames: 11927552. Throughput: 0: 13994.7. Samples: 11936768. Policy #0 lag: (min: 5.0, avg: 10.7, max: 69.0)
-[2026-06-03 02:44:37,188][694701] Avg episode reward: [(0, '5526.100')]
-[2026-06-03 02:44:38,045][695648] Updated weights for policy 0, policy_version 23329 (0.0013)
-[2026-06-03 02:44:40,498][695648] Updated weights for policy 0, policy_version 23408 (0.0012)
-[2026-06-03 02:44:42,187][694701] Fps is (10 sec: 13107.5, 60 sec: 13789.9, 300 sec: 14106.9). Total num frames: 11993088. Throughput: 0: 13949.2. Samples: 11979776. Policy #0 lag: (min: 5.0, avg: 10.7, max: 69.0)
-[2026-06-03 02:44:42,188][694701] Avg episode reward: [(0, '5747.600')]
-[2026-06-03 02:44:42,688][695578] Signal inference workers to stop experience collection... (1100 times)
-[2026-06-03 02:44:42,719][695648] InferenceWorker_p0-w0: stopping experience collection (1100 times)
-[2026-06-03 02:44:42,799][695578] Signal inference workers to resume experience collection... (1100 times)
-[2026-06-03 02:44:42,799][695648] InferenceWorker_p0-w0: resuming experience collection (1100 times)
-[2026-06-03 02:44:42,801][695648] Updated weights for policy 0, policy_version 23472 (0.0011)
-[2026-06-03 02:44:45,111][695648] Updated weights for policy 0, policy_version 23536 (0.0011)
-[2026-06-03 02:44:47,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 14106.9). Total num frames: 12058624. Throughput: 0: 13903.6. Samples: 12062720. Policy #0 lag: (min: 5.0, avg: 10.7, max: 69.0)
-[2026-06-03 02:44:47,189][694701] Avg episode reward: [(0, '5589.300')]
-[2026-06-03 02:44:47,519][695648] Updated weights for policy 0, policy_version 23602 (0.0012)
-[2026-06-03 02:44:49,983][695648] Updated weights for policy 0, policy_version 23669 (0.0013)
-[2026-06-03 02:44:52,187][694701] Fps is (10 sec: 14745.3, 60 sec: 13926.4, 300 sec: 14079.1). Total num frames: 12140544. Throughput: 0: 13949.1. Samples: 12147200. Policy #0 lag: (min: 11.0, avg: 15.2, max: 75.0)
-[2026-06-03 02:44:52,189][694701] Avg episode reward: [(0, '5601.200')]
-[2026-06-03 02:44:52,419][695648] Updated weights for policy 0, policy_version 23740 (0.0010)
-[2026-06-03 02:44:54,714][695648] Updated weights for policy 0, policy_version 23802 (0.0012)
-[2026-06-03 02:44:56,956][695648] Updated weights for policy 0, policy_version 23870 (0.0014)
-[2026-06-03 02:44:57,187][694701] Fps is (10 sec: 16384.0, 60 sec: 14199.5, 300 sec: 14106.9). Total num frames: 12222464. Throughput: 0: 14006.1. Samples: 12190208. Policy #0 lag: (min: 11.0, avg: 15.2, max: 75.0)
-[2026-06-03 02:44:57,188][694701] Avg episode reward: [(0, '5788.000')]
-[2026-06-03 02:44:59,242][695648] Updated weights for policy 0, policy_version 23935 (0.0013)
-[2026-06-03 02:45:01,581][695648] Updated weights for policy 0, policy_version 23993 (0.0012)
-[2026-06-03 02:45:02,187][694701] Fps is (10 sec: 14745.7, 60 sec: 14199.4, 300 sec: 14106.9). Total num frames: 12288000. Throughput: 0: 14097.0. Samples: 12275200. Policy #0 lag: (min: 11.0, avg: 15.2, max: 75.0)
-[2026-06-03 02:45:02,189][694701] Avg episode reward: [(0, '5759.350')]
-[2026-06-03 02:45:03,925][695648] Updated weights for policy 0, policy_version 24064 (0.0012)
-[2026-06-03 02:45:07,187][694701] Fps is (10 sec: 13107.1, 60 sec: 14199.4, 300 sec: 14106.9). Total num frames: 12353536. Throughput: 0: 14028.9. Samples: 12358656. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:45:07,188][694701] Avg episode reward: [(0, '5915.900')]
-[2026-06-03 02:45:07,193][695578] Saving new best policy, reward=5915.900!
-[2026-06-03 02:45:08,047][695648] Updated weights for policy 0, policy_version 24144 (0.0012)
-[2026-06-03 02:45:10,525][695648] Updated weights for policy 0, policy_version 24240 (0.0011)
-[2026-06-03 02:45:12,187][694701] Fps is (10 sec: 13107.3, 60 sec: 14062.9, 300 sec: 14106.9). Total num frames: 12419072. Throughput: 0: 14142.6. Samples: 12403200. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:45:12,189][694701] Avg episode reward: [(0, '5734.450')]
-[2026-06-03 02:45:12,725][695648] Updated weights for policy 0, policy_version 24304 (0.0010)
-[2026-06-03 02:45:15,024][695648] Updated weights for policy 0, policy_version 24371 (0.0016)
-[2026-06-03 02:45:17,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13789.9, 300 sec: 14023.6). Total num frames: 12484608. Throughput: 0: 14154.0. Samples: 12490752. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:45:17,188][694701] Avg episode reward: [(0, '5743.000')]
-[2026-06-03 02:45:17,401][695648] Updated weights for policy 0, policy_version 24419 (0.0013)
-[2026-06-03 02:45:19,698][695648] Updated weights for policy 0, policy_version 24496 (0.0011)
-[2026-06-03 02:45:21,731][695578] Signal inference workers to stop experience collection... (1150 times)
-[2026-06-03 02:45:21,762][695648] InferenceWorker_p0-w0: stopping experience collection (1150 times)
-[2026-06-03 02:45:21,836][695578] Signal inference workers to resume experience collection... (1150 times)
-[2026-06-03 02:45:21,837][695648] InferenceWorker_p0-w0: resuming experience collection (1150 times)
-[2026-06-03 02:45:21,994][695648] Updated weights for policy 0, policy_version 24564 (0.0012)
-[2026-06-03 02:45:22,187][694701] Fps is (10 sec: 16384.1, 60 sec: 14199.6, 300 sec: 14106.9). Total num frames: 12582912. Throughput: 0: 14233.6. Samples: 12577280. Policy #0 lag: (min: 50.0, avg: 55.9, max: 114.0)
-[2026-06-03 02:45:22,188][694701] Avg episode reward: [(0, '5935.900')]
-[2026-06-03 02:45:22,193][695578] Saving new best policy, reward=5935.900!
-[2026-06-03 02:45:24,316][695648] Updated weights for policy 0, policy_version 24628 (0.0013)
-[2026-06-03 02:45:26,614][695648] Updated weights for policy 0, policy_version 24702 (0.0013)
-[2026-06-03 02:45:27,187][694701] Fps is (10 sec: 16384.0, 60 sec: 14199.5, 300 sec: 14106.9). Total num frames: 12648448. Throughput: 0: 14199.5. Samples: 12618752. Policy #0 lag: (min: 50.0, avg: 55.9, max: 114.0)
-[2026-06-03 02:45:27,188][694701] Avg episode reward: [(0, '5879.500')]
-[2026-06-03 02:45:30,627][695648] Updated weights for policy 0, policy_version 24770 (0.0010)
-[2026-06-03 02:45:32,187][694701] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14106.9). Total num frames: 12713984. Throughput: 0: 14336.0. Samples: 12707840. Policy #0 lag: (min: 50.0, avg: 55.9, max: 114.0)
-[2026-06-03 02:45:32,188][694701] Avg episode reward: [(0, '5959.100')]
-[2026-06-03 02:45:32,192][695578] Saving new best policy, reward=5959.100!
-[2026-06-03 02:45:32,887][695648] Updated weights for policy 0, policy_version 24835 (0.0013)
-[2026-06-03 02:45:33,412][695648] Updated weights for policy 0, policy_version 24895 (0.0012)
-[2026-06-03 02:45:35,612][695648] Updated weights for policy 0, policy_version 24957 (0.0012)
-[2026-06-03 02:45:37,187][694701] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14106.9). Total num frames: 12779520. Throughput: 0: 14370.2. Samples: 12793856. Policy #0 lag: (min: 50.0, avg: 55.9, max: 114.0)
-[2026-06-03 02:45:37,188][694701] Avg episode reward: [(0, '6156.100')]
-[2026-06-03 02:45:37,192][695578] Saving new best policy, reward=6156.100!
-[2026-06-03 02:45:37,979][695648] Updated weights for policy 0, policy_version 25024 (0.0009)
-[2026-06-03 02:45:42,083][695648] Updated weights for policy 0, policy_version 25120 (0.0013)
-[2026-06-03 02:45:42,188][694701] Fps is (10 sec: 14744.7, 60 sec: 14472.4, 300 sec: 14162.4). Total num frames: 12861440. Throughput: 0: 15348.4. Samples: 12880896. Policy #0 lag: (min: 6.0, avg: 12.2, max: 70.0)
-[2026-06-03 02:45:42,190][694701] Avg episode reward: [(0, '6091.200')]
-[2026-06-03 02:45:44,324][695648] Updated weights for policy 0, policy_version 25170 (0.0011)
-[2026-06-03 02:45:46,579][695648] Updated weights for policy 0, policy_version 25232 (0.0012)
-[2026-06-03 02:45:47,027][695648] Updated weights for policy 0, policy_version 25280 (0.0007)
-[2026-06-03 02:45:47,187][694701] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 14218.0). Total num frames: 12943360. Throughput: 0: 14404.3. Samples: 12923392. Policy #0 lag: (min: 6.0, avg: 12.2, max: 70.0)
-[2026-06-03 02:45:47,188][694701] Avg episode reward: [(0, '6208.000')]
-[2026-06-03 02:45:47,192][695578] Saving new best policy, reward=6208.000!
-[2026-06-03 02:45:49,262][695648] Updated weights for policy 0, policy_version 25341 (0.0010)
-[2026-06-03 02:45:51,479][695648] Updated weights for policy 0, policy_version 25405 (0.0011)
-[2026-06-03 02:45:52,187][694701] Fps is (10 sec: 14746.4, 60 sec: 14472.5, 300 sec: 14162.4). Total num frames: 13008896. Throughput: 0: 14495.3. Samples: 13010944. Policy #0 lag: (min: 6.0, avg: 12.2, max: 70.0)
-[2026-06-03 02:45:52,189][694701] Avg episode reward: [(0, '6183.200')]
-[2026-06-03 02:45:53,701][695648] Updated weights for policy 0, policy_version 25468 (0.0011)
-[2026-06-03 02:45:57,187][694701] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14106.9). Total num frames: 13074432. Throughput: 0: 14483.9. Samples: 13054976. Policy #0 lag: (min: 5.0, avg: 10.3, max: 69.0)
-[2026-06-03 02:45:57,188][694701] Avg episode reward: [(0, '6256.750')]
-[2026-06-03 02:45:57,192][695578] Saving new best policy, reward=6256.750!
-[2026-06-03 02:45:57,769][695648] Updated weights for policy 0, policy_version 25537 (0.0011)
-[2026-06-03 02:45:58,346][695648] Updated weights for policy 0, policy_version 25600 (0.0013)
-[2026-06-03 02:45:59,988][695578] Signal inference workers to stop experience collection... (1200 times)
-[2026-06-03 02:46:00,015][695648] InferenceWorker_p0-w0: stopping experience collection (1200 times)
-[2026-06-03 02:46:00,131][695578] Signal inference workers to resume experience collection... (1200 times)
-[2026-06-03 02:46:00,132][695648] InferenceWorker_p0-w0: resuming experience collection (1200 times)
-[2026-06-03 02:46:00,568][695648] Updated weights for policy 0, policy_version 25664 (0.0013)
-[2026-06-03 02:46:02,188][694701] Fps is (10 sec: 13107.0, 60 sec: 14199.4, 300 sec: 14106.9). Total num frames: 13139968. Throughput: 0: 14461.1. Samples: 13141504. Policy #0 lag: (min: 5.0, avg: 10.3, max: 69.0)
-[2026-06-03 02:46:02,189][694701] Avg episode reward: [(0, '6356.300')]
-[2026-06-03 02:46:02,196][695578] Saving new best policy, reward=6356.300!
-[2026-06-03 02:46:04,657][695648] Updated weights for policy 0, policy_version 25729 (0.0013)
-[2026-06-03 02:46:07,070][695648] Updated weights for policy 0, policy_version 25793 (0.0011)
-[2026-06-03 02:46:07,187][694701] Fps is (10 sec: 13926.3, 60 sec: 14336.0, 300 sec: 14134.7). Total num frames: 13213696. Throughput: 0: 14415.6. Samples: 13225984. Policy #0 lag: (min: 5.0, avg: 10.3, max: 69.0)
-[2026-06-03 02:46:07,189][694701] Avg episode reward: [(0, '6327.050')]
-[2026-06-03 02:46:09,497][695648] Updated weights for policy 0, policy_version 25872 (0.0012)
-[2026-06-03 02:46:11,916][695648] Updated weights for policy 0, policy_version 25938 (0.0012)
-[2026-06-03 02:46:12,187][694701] Fps is (10 sec: 15565.2, 60 sec: 14609.1, 300 sec: 14190.2). Total num frames: 13295616. Throughput: 0: 14449.8. Samples: 13268992. Policy #0 lag: (min: 5.0, avg: 10.3, max: 69.0)
-[2026-06-03 02:46:12,188][694701] Avg episode reward: [(0, '6487.850')]
-[2026-06-03 02:46:12,281][695578] Saving new best policy, reward=6487.850!
-[2026-06-03 02:46:14,301][695648] Updated weights for policy 0, policy_version 26016 (0.0011)
-[2026-06-03 02:46:16,601][695648] Updated weights for policy 0, policy_version 26080 (0.0012)
-[2026-06-03 02:46:17,188][694701] Fps is (10 sec: 15564.4, 60 sec: 14745.5, 300 sec: 14162.4). Total num frames: 13369344. Throughput: 0: 14290.4. Samples: 13350912. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:46:17,190][694701] Avg episode reward: [(0, '6649.350')]
-[2026-06-03 02:46:17,197][695578] Saving new best policy, reward=6649.350!
-[2026-06-03 02:46:18,873][695648] Updated weights for policy 0, policy_version 26144 (0.0011)
-[2026-06-03 02:46:21,259][695648] Updated weights for policy 0, policy_version 26208 (0.0013)
-[2026-06-03 02:46:22,187][694701] Fps is (10 sec: 13926.3, 60 sec: 14199.5, 300 sec: 14106.9). Total num frames: 13434880. Throughput: 0: 14290.5. Samples: 13436928. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:46:22,188][694701] Avg episode reward: [(0, '6508.850')]
-[2026-06-03 02:46:23,456][695648] Updated weights for policy 0, policy_version 26275 (0.0011)
-[2026-06-03 02:46:25,937][695648] Updated weights for policy 0, policy_version 26355 (0.0011)
-[2026-06-03 02:46:27,187][694701] Fps is (10 sec: 13107.6, 60 sec: 14199.5, 300 sec: 14106.9). Total num frames: 13500416. Throughput: 0: 13334.9. Samples: 13480960. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:46:27,188][694701] Avg episode reward: [(0, '6617.350')]
-[2026-06-03 02:46:28,223][695648] Updated weights for policy 0, policy_version 26425 (0.0013)
-[2026-06-03 02:46:30,564][695648] Updated weights for policy 0, policy_version 26487 (0.0009)
-[2026-06-03 02:46:32,187][694701] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14106.9). Total num frames: 13565952. Throughput: 0: 14301.9. Samples: 13566976. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:46:32,189][694701] Avg episode reward: [(0, '6540.200')]
-[2026-06-03 02:46:32,741][695648] Updated weights for policy 0, policy_version 26545 (0.0010)
-[2026-06-03 02:46:34,989][695648] Updated weights for policy 0, policy_version 26608 (0.0011)
-[2026-06-03 02:46:37,158][695578] Signal inference workers to stop experience collection... (1250 times)
-[2026-06-03 02:46:37,187][694701] Fps is (10 sec: 14745.6, 60 sec: 14472.5, 300 sec: 14162.4). Total num frames: 13647872. Throughput: 0: 14256.4. Samples: 13652480. Policy #0 lag: (min: 9.0, avg: 14.4, max: 73.0)
-[2026-06-03 02:46:37,188][694701] Avg episode reward: [(0, '6306.950')]
-[2026-06-03 02:46:37,190][695648] InferenceWorker_p0-w0: stopping experience collection (1250 times)
-[2026-06-03 02:46:37,280][695578] Signal inference workers to resume experience collection... (1250 times)
-[2026-06-03 02:46:37,280][695648] InferenceWorker_p0-w0: resuming experience collection (1250 times)
-[2026-06-03 02:46:37,311][695648] Updated weights for policy 0, policy_version 26673 (0.0013)
-[2026-06-03 02:46:39,638][695648] Updated weights for policy 0, policy_version 26738 (0.0013)
-[2026-06-03 02:46:41,840][695648] Updated weights for policy 0, policy_version 26800 (0.0013)
-[2026-06-03 02:46:42,187][694701] Fps is (10 sec: 16384.2, 60 sec: 14472.7, 300 sec: 14218.0). Total num frames: 13729792. Throughput: 0: 14290.5. Samples: 13698048. Policy #0 lag: (min: 9.0, avg: 14.4, max: 73.0)
-[2026-06-03 02:46:42,188][694701] Avg episode reward: [(0, '6256.950')]
-[2026-06-03 02:46:43,955][695648] Updated weights for policy 0, policy_version 26850 (0.0011)
-[2026-06-03 02:46:46,335][695648] Updated weights for policy 0, policy_version 26929 (0.0013)
-[2026-06-03 02:46:47,187][694701] Fps is (10 sec: 14745.6, 60 sec: 14199.5, 300 sec: 14218.0). Total num frames: 13795328. Throughput: 0: 14267.8. Samples: 13783552. Policy #0 lag: (min: 9.0, avg: 14.4, max: 73.0)
-[2026-06-03 02:46:47,188][694701] Avg episode reward: [(0, '6387.500')]
-[2026-06-03 02:46:48,748][695648] Updated weights for policy 0, policy_version 26995 (0.0011)
-[2026-06-03 02:46:51,148][695648] Updated weights for policy 0, policy_version 27067 (0.0010)
-[2026-06-03 02:46:52,187][694701] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14218.0). Total num frames: 13860864. Throughput: 0: 14199.5. Samples: 13864960. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0)
-[2026-06-03 02:46:52,188][694701] Avg episode reward: [(0, '6497.050')]
-[2026-06-03 02:46:53,511][695648] Updated weights for policy 0, policy_version 27136 (0.0011)
-[2026-06-03 02:46:57,187][694701] Fps is (10 sec: 13107.3, 60 sec: 14199.5, 300 sec: 14162.4). Total num frames: 13926400. Throughput: 0: 14245.0. Samples: 13910016. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0)
-[2026-06-03 02:46:57,188][694701] Avg episode reward: [(0, '6630.550')]
-[2026-06-03 02:46:57,747][695648] Updated weights for policy 0, policy_version 27218 (0.0011)
-[2026-06-03 02:46:59,994][695648] Updated weights for policy 0, policy_version 27266 (0.0016)
-[2026-06-03 02:47:02,187][694701] Fps is (10 sec: 13107.0, 60 sec: 14199.5, 300 sec: 14106.9). Total num frames: 13991936. Throughput: 0: 14290.6. Samples: 13993984. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0)
-[2026-06-03 02:47:02,188][694701] Avg episode reward: [(0, '6741.450')]
-[2026-06-03 02:47:02,192][695578] Saving new best policy, reward=6741.450!
-[2026-06-03 02:47:02,267][695648] Updated weights for policy 0, policy_version 27329 (0.0011)
-[2026-06-03 02:47:04,658][695648] Updated weights for policy 0, policy_version 27424 (0.0014)
-[2026-06-03 02:47:06,887][695648] Updated weights for policy 0, policy_version 27473 (0.0012)
-[2026-06-03 02:47:07,187][694701] Fps is (10 sec: 15564.8, 60 sec: 14472.6, 300 sec: 14190.2). Total num frames: 14082048. Throughput: 0: 14347.4. Samples: 14082560. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0)
-[2026-06-03 02:47:07,188][694701] Avg episode reward: [(0, '6843.500')]
-[2026-06-03 02:47:07,328][695578] Saving new best policy, reward=6843.500!
-[2026-06-03 02:47:09,190][695648] Updated weights for policy 0, policy_version 27536 (0.0011)
-[2026-06-03 02:47:11,572][695648] Updated weights for policy 0, policy_version 27616 (0.0011)
-[2026-06-03 02:47:12,187][694701] Fps is (10 sec: 16384.3, 60 sec: 14336.0, 300 sec: 14218.0). Total num frames: 14155776. Throughput: 0: 14290.5. Samples: 14124032. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:47:12,188][694701] Avg episode reward: [(0, '6839.050')]
-[2026-06-03 02:47:13,902][695648] Updated weights for policy 0, policy_version 27680 (0.0012)
-[2026-06-03 02:47:16,143][695578] Signal inference workers to stop experience collection... (1300 times)
-[2026-06-03 02:47:16,173][695648] InferenceWorker_p0-w0: stopping experience collection (1300 times)
-[2026-06-03 02:47:16,272][695578] Signal inference workers to resume experience collection... (1300 times)
-[2026-06-03 02:47:16,273][695648] InferenceWorker_p0-w0: resuming experience collection (1300 times)
-[2026-06-03 02:47:16,275][695648] Updated weights for policy 0, policy_version 27744 (0.0013)
-[2026-06-03 02:47:17,187][694701] Fps is (10 sec: 13926.4, 60 sec: 14199.6, 300 sec: 14218.0). Total num frames: 14221312. Throughput: 0: 14267.8. Samples: 14209024. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:47:17,188][694701] Avg episode reward: [(0, '6868.800')]
-[2026-06-03 02:47:17,194][695578] Saving new best policy, reward=6868.800!
-[2026-06-03 02:47:18,819][695648] Updated weights for policy 0, policy_version 27810 (0.0014)
-[2026-06-03 02:47:21,114][695648] Updated weights for policy 0, policy_version 27858 (0.0012)
-[2026-06-03 02:47:22,187][694701] Fps is (10 sec: 13107.1, 60 sec: 14199.5, 300 sec: 14218.0). Total num frames: 14286848. Throughput: 0: 14142.6. Samples: 14288896. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:47:22,188][694701] Avg episode reward: [(0, '6922.100')]
-[2026-06-03 02:47:22,192][695578] Saving new best policy, reward=6922.100!
-[2026-06-03 02:47:23,494][695648] Updated weights for policy 0, policy_version 27936 (0.0012)
-[2026-06-03 02:47:25,792][695648] Updated weights for policy 0, policy_version 27986 (0.0010)
-[2026-06-03 02:47:27,187][694701] Fps is (10 sec: 13107.1, 60 sec: 14199.5, 300 sec: 14134.7). Total num frames: 14352384. Throughput: 0: 14074.3. Samples: 14331392. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:47:27,188][694701] Avg episode reward: [(0, '6853.750')]
-[2026-06-03 02:47:28,063][695648] Updated weights for policy 0, policy_version 28050 (0.0013)
-[2026-06-03 02:47:30,489][695648] Updated weights for policy 0, policy_version 28128 (0.0009)
-[2026-06-03 02:47:32,187][694701] Fps is (10 sec: 13107.0, 60 sec: 14199.5, 300 sec: 14106.9). Total num frames: 14417920. Throughput: 0: 14085.7. Samples: 14417408. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:47:32,189][694701] Avg episode reward: [(0, '6792.500')]
-[2026-06-03 02:47:32,737][695648] Updated weights for policy 0, policy_version 28195 (0.0013)
-[2026-06-03 02:47:35,025][695648] Updated weights for policy 0, policy_version 28272 (0.0010)
-[2026-06-03 02:47:37,187][694701] Fps is (10 sec: 13107.1, 60 sec: 13926.4, 300 sec: 14106.9). Total num frames: 14483456. Throughput: 0: 14188.0. Samples: 14503424. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:47:37,188][694701] Avg episode reward: [(0, '6818.800')]
-[2026-06-03 02:47:37,467][695648] Updated weights for policy 0, policy_version 28336 (0.0013)
-[2026-06-03 02:47:39,827][695648] Updated weights for policy 0, policy_version 28400 (0.0011)
-[2026-06-03 02:47:41,947][695648] Updated weights for policy 0, policy_version 28449 (0.0011)
-[2026-06-03 02:47:42,188][694701] Fps is (10 sec: 15564.5, 60 sec: 14062.9, 300 sec: 14190.2). Total num frames: 14573568. Throughput: 0: 14131.1. Samples: 14545920. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:47:42,189][694701] Avg episode reward: [(0, '6885.400')]
-[2026-06-03 02:47:44,413][695648] Updated weights for policy 0, policy_version 28528 (0.0011)
-[2026-06-03 02:47:46,862][695648] Updated weights for policy 0, policy_version 28592 (0.0012)
-[2026-06-03 02:47:47,187][694701] Fps is (10 sec: 16384.3, 60 sec: 14199.5, 300 sec: 14218.0). Total num frames: 14647296. Throughput: 0: 14154.0. Samples: 14630912. Policy #0 lag: (min: 37.0, avg: 41.9, max: 101.0)
-[2026-06-03 02:47:47,188][694701] Avg episode reward: [(0, '6766.300')]
-[2026-06-03 02:47:49,214][695648] Updated weights for policy 0, policy_version 28656 (0.0012)
-[2026-06-03 02:47:51,678][695648] Updated weights for policy 0, policy_version 28723 (0.0012)
-[2026-06-03 02:47:52,187][694701] Fps is (10 sec: 13926.9, 60 sec: 14199.5, 300 sec: 14218.0). Total num frames: 14712832. Throughput: 0: 14006.1. Samples: 14712832. Policy #0 lag: (min: 37.0, avg: 41.9, max: 101.0)
-[2026-06-03 02:47:52,188][694701] Avg episode reward: [(0, '6781.550')]
-[2026-06-03 02:47:54,076][695648] Updated weights for policy 0, policy_version 28793 (0.0009)
-[2026-06-03 02:47:55,963][695578] Signal inference workers to stop experience collection... (1350 times)
-[2026-06-03 02:47:55,990][695648] InferenceWorker_p0-w0: stopping experience collection (1350 times)
-[2026-06-03 02:47:56,074][695578] Signal inference workers to resume experience collection... (1350 times)
-[2026-06-03 02:47:56,074][695648] InferenceWorker_p0-w0: resuming experience collection (1350 times)
-[2026-06-03 02:47:56,433][695648] Updated weights for policy 0, policy_version 28858 (0.0011)
-[2026-06-03 02:47:57,187][694701] Fps is (10 sec: 13107.1, 60 sec: 14199.5, 300 sec: 14162.4). Total num frames: 14778368. Throughput: 0: 13949.1. Samples: 14751744. Policy #0 lag: (min: 37.0, avg: 41.9, max: 101.0)
-[2026-06-03 02:47:57,188][694701] Avg episode reward: [(0, '6704.200')]
-[2026-06-03 02:47:58,742][695648] Updated weights for policy 0, policy_version 28926 (0.0012)
-[2026-06-03 02:48:01,113][695648] Updated weights for policy 0, policy_version 28992 (0.0013)
-[2026-06-03 02:48:02,187][694701] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14106.9). Total num frames: 14843904. Throughput: 0: 14006.0. Samples: 14839296. Policy #0 lag: (min: 37.0, avg: 41.9, max: 101.0)
-[2026-06-03 02:48:02,188][694701] Avg episode reward: [(0, '6646.800')]
-[2026-06-03 02:48:03,565][695648] Updated weights for policy 0, policy_version 29054 (0.0008)
-[2026-06-03 02:48:05,884][695648] Updated weights for policy 0, policy_version 29115 (0.0011)
-[2026-06-03 02:48:07,188][694701] Fps is (10 sec: 13106.9, 60 sec: 13789.8, 300 sec: 14106.9). Total num frames: 14909440. Throughput: 0: 14017.3. Samples: 14919680. Policy #0 lag: (min: 58.0, avg: 63.4, max: 122.0)
-[2026-06-03 02:48:07,189][694701] Avg episode reward: [(0, '6609.050')]
-[2026-06-03 02:48:08,312][695648] Updated weights for policy 0, policy_version 29184 (0.0012)
-[2026-06-03 02:48:10,693][695648] Updated weights for policy 0, policy_version 29244 (0.0013)
-[2026-06-03 02:48:12,187][694701] Fps is (10 sec: 13106.8, 60 sec: 13653.2, 300 sec: 14106.9). Total num frames: 14974976. Throughput: 0: 14028.7. Samples: 14962688. Policy #0 lag: (min: 58.0, avg: 63.4, max: 122.0)
-[2026-06-03 02:48:12,188][694701] Avg episode reward: [(0, '6841.000')]
-[2026-06-03 02:48:13,062][695648] Updated weights for policy 0, policy_version 29302 (0.0013)
-[2026-06-03 02:48:15,511][695648] Updated weights for policy 0, policy_version 29371 (0.0012)
-[2026-06-03 02:48:17,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13653.3, 300 sec: 14106.9). Total num frames: 15040512. Throughput: 0: 13892.3. Samples: 15042560. Policy #0 lag: (min: 58.0, avg: 63.4, max: 122.0)
-[2026-06-03 02:48:17,189][694701] Avg episode reward: [(0, '6792.600')]
-[2026-06-03 02:48:17,987][695648] Updated weights for policy 0, policy_version 29428 (0.0010)
-[2026-06-03 02:48:20,341][695648] Updated weights for policy 0, policy_version 29491 (0.0012)
-[2026-06-03 02:48:22,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13653.3, 300 sec: 14106.9). Total num frames: 15106048. Throughput: 0: 13744.3. Samples: 15121920. Policy #0 lag: (min: 58.0, avg: 63.4, max: 122.0)
-[2026-06-03 02:48:22,188][694701] Avg episode reward: [(0, '6712.750')]
-[2026-06-03 02:48:22,786][695648] Updated weights for policy 0, policy_version 29554 (0.0011)
-[2026-06-03 02:48:25,301][695648] Updated weights for policy 0, policy_version 29622 (0.0015)
-[2026-06-03 02:48:27,187][694701] Fps is (10 sec: 13107.1, 60 sec: 13653.3, 300 sec: 14106.9). Total num frames: 15171584. Throughput: 0: 13710.3. Samples: 15162880. Policy #0 lag: (min: 38.0, avg: 42.6, max: 102.0)
-[2026-06-03 02:48:27,189][694701] Avg episode reward: [(0, '6507.650')]
-[2026-06-03 02:48:27,815][695648] Updated weights for policy 0, policy_version 29684 (0.0012)
-[2026-06-03 02:48:30,242][695648] Updated weights for policy 0, policy_version 29756 (0.0014)
-[2026-06-03 02:48:32,187][694701] Fps is (10 sec: 13107.4, 60 sec: 13653.3, 300 sec: 14051.4). Total num frames: 15237120. Throughput: 0: 13562.3. Samples: 15241216. Policy #0 lag: (min: 38.0, avg: 42.6, max: 102.0)
-[2026-06-03 02:48:32,188][694701] Avg episode reward: [(0, '6684.450')]
-[2026-06-03 02:48:32,626][695648] Updated weights for policy 0, policy_version 29823 (0.0014)
-[2026-06-03 02:48:34,679][695578] Signal inference workers to stop experience collection... (1400 times)
-[2026-06-03 02:48:34,712][695648] InferenceWorker_p0-w0: stopping experience collection (1400 times)
-[2026-06-03 02:48:34,807][695578] Signal inference workers to resume experience collection... (1400 times)
-[2026-06-03 02:48:34,808][695648] InferenceWorker_p0-w0: resuming experience collection (1400 times)
-[2026-06-03 02:48:34,976][695648] Updated weights for policy 0, policy_version 29887 (0.0014)
-[2026-06-03 02:48:37,187][694701] Fps is (10 sec: 15564.8, 60 sec: 14062.9, 300 sec: 14106.9). Total num frames: 15327232. Throughput: 0: 13664.6. Samples: 15327744. Policy #0 lag: (min: 38.0, avg: 42.6, max: 102.0)
-[2026-06-03 02:48:37,189][694701] Avg episode reward: [(0, '6811.250')]
-[2026-06-03 02:48:39,260][695648] Updated weights for policy 0, policy_version 29968 (0.0011)
-[2026-06-03 02:48:41,739][695648] Updated weights for policy 0, policy_version 30048 (0.0013)
-[2026-06-03 02:48:42,187][694701] Fps is (10 sec: 16383.8, 60 sec: 13789.9, 300 sec: 14106.9). Total num frames: 15400960. Throughput: 0: 13721.5. Samples: 15369216. Policy #0 lag: (min: 38.0, avg: 42.6, max: 102.0)
-[2026-06-03 02:48:42,189][694701] Avg episode reward: [(0, '6832.200')]
-[2026-06-03 02:48:43,990][695648] Updated weights for policy 0, policy_version 30097 (0.0015)
-[2026-06-03 02:48:46,386][695648] Updated weights for policy 0, policy_version 30160 (0.0014)
-[2026-06-03 02:48:47,187][694701] Fps is (10 sec: 13926.4, 60 sec: 13653.3, 300 sec: 14106.9). Total num frames: 15466496. Throughput: 0: 13585.0. Samples: 15450624. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:48:47,191][694701] Avg episode reward: [(0, '6893.800')]
-[2026-06-03 02:48:48,635][695648] Updated weights for policy 0, policy_version 30210 (0.0013)
-[2026-06-03 02:48:49,217][695648] Updated weights for policy 0, policy_version 30270 (0.0010)
-[2026-06-03 02:48:52,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13653.3, 300 sec: 14106.9). Total num frames: 15532032. Throughput: 0: 13619.2. Samples: 15532544. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:48:52,189][694701] Avg episode reward: [(0, '6826.150')]
-[2026-06-03 02:48:53,615][695648] Updated weights for policy 0, policy_version 30337 (0.0012)
-[2026-06-03 02:48:56,080][695648] Updated weights for policy 0, policy_version 30416 (0.0011)
-[2026-06-03 02:48:57,187][694701] Fps is (10 sec: 13107.4, 60 sec: 13653.3, 300 sec: 14106.9). Total num frames: 15597568. Throughput: 0: 13494.1. Samples: 15569920. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:48:57,188][694701] Avg episode reward: [(0, '6809.050')]
-[2026-06-03 02:48:58,258][695648] Updated weights for policy 0, policy_version 30466 (0.0012)
-[2026-06-03 02:48:58,833][695648] Updated weights for policy 0, policy_version 30528 (0.0010)
-[2026-06-03 02:49:01,168][695648] Updated weights for policy 0, policy_version 30592 (0.0012)
-[2026-06-03 02:49:02,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13653.3, 300 sec: 14106.9). Total num frames: 15663104. Throughput: 0: 13664.7. Samples: 15657472. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:49:02,188][694701] Avg episode reward: [(0, '6789.400')]
-[2026-06-03 02:49:05,108][695648] Updated weights for policy 0, policy_version 30658 (0.0010)
-[2026-06-03 02:49:05,716][695648] Updated weights for policy 0, policy_version 30720 (0.0008)
-[2026-06-03 02:49:07,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13653.4, 300 sec: 14079.1). Total num frames: 15728640. Throughput: 0: 13812.7. Samples: 15743488. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:49:07,188][694701] Avg episode reward: [(0, '6700.800')]
-[2026-06-03 02:49:08,119][695648] Updated weights for policy 0, policy_version 30784 (0.0010)
-[2026-06-03 02:49:10,338][695648] Updated weights for policy 0, policy_version 30848 (0.0012)
-[2026-06-03 02:49:12,187][694701] Fps is (10 sec: 13926.5, 60 sec: 13789.9, 300 sec: 14051.4). Total num frames: 15802368. Throughput: 0: 13846.8. Samples: 15785984. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0)
-[2026-06-03 02:49:12,188][694701] Avg episode reward: [(0, '6607.350')]
-[2026-06-03 02:49:12,583][695648] Updated weights for policy 0, policy_version 30907 (0.0010)
-[2026-06-03 02:49:14,567][695578] Signal inference workers to stop experience collection... (1450 times)
-[2026-06-03 02:49:14,602][695648] InferenceWorker_p0-w0: stopping experience collection (1450 times)
-[2026-06-03 02:49:14,700][695578] Signal inference workers to resume experience collection... (1450 times)
-[2026-06-03 02:49:14,702][695648] InferenceWorker_p0-w0: resuming experience collection (1450 times)
-[2026-06-03 02:49:14,967][695648] Updated weights for policy 0, policy_version 30968 (0.0011)
-[2026-06-03 02:49:17,187][694701] Fps is (10 sec: 15564.5, 60 sec: 14062.9, 300 sec: 14079.1). Total num frames: 15884288. Throughput: 0: 13926.4. Samples: 15867904. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0)
-[2026-06-03 02:49:17,189][694701] Avg episode reward: [(0, '6635.400')]
-[2026-06-03 02:49:17,283][695648] Updated weights for policy 0, policy_version 31032 (0.0011)
-[2026-06-03 02:49:19,612][695648] Updated weights for policy 0, policy_version 31094 (0.0011)
-[2026-06-03 02:49:22,169][695648] Updated weights for policy 0, policy_version 31158 (0.0015)
-[2026-06-03 02:49:22,187][694701] Fps is (10 sec: 14745.5, 60 sec: 14063.0, 300 sec: 14079.1). Total num frames: 15949824. Throughput: 0: 13869.5. Samples: 15951872. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0)
-[2026-06-03 02:49:22,188][694701] Avg episode reward: [(0, '6719.500')]
-[2026-06-03 02:49:24,604][695648] Updated weights for policy 0, policy_version 31223 (0.0011)
-[2026-06-03 02:49:27,014][695648] Updated weights for policy 0, policy_version 31287 (0.0011)
-[2026-06-03 02:49:27,187][694701] Fps is (10 sec: 13926.7, 60 sec: 14199.5, 300 sec: 14106.9). Total num frames: 16023552. Throughput: 0: 13824.1. Samples: 15991296. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0)
-[2026-06-03 02:49:27,188][694701] Avg episode reward: [(0, '6837.150')]
-[2026-06-03 02:49:29,513][695648] Updated weights for policy 0, policy_version 31356 (0.0011)
-[2026-06-03 02:49:31,892][695648] Updated weights for policy 0, policy_version 31423 (0.0013)
-[2026-06-03 02:49:32,187][694701] Fps is (10 sec: 13926.2, 60 sec: 14199.4, 300 sec: 14106.9). Total num frames: 16089088. Throughput: 0: 13801.2. Samples: 16071680. Policy #0 lag: (min: 8.0, avg: 13.3, max: 72.0)
-[2026-06-03 02:49:32,191][694701] Avg episode reward: [(0, '6886.400')]
-[2026-06-03 02:49:32,197][695578] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed14/checkpoint_p0/checkpoint_000031424_16089088.pth...
-[2026-06-03 02:49:34,229][695648] Updated weights for policy 0, policy_version 31486 (0.0011)
-[2026-06-03 02:49:37,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13789.9, 300 sec: 14106.9). Total num frames: 16154624. Throughput: 0: 13869.6. Samples: 16156672. Policy #0 lag: (min: 8.0, avg: 13.3, max: 72.0)
-[2026-06-03 02:49:37,188][694701] Avg episode reward: [(0, '6968.150')]
-[2026-06-03 02:49:37,193][695578] Saving new best policy, reward=6968.150!
-[2026-06-03 02:49:38,580][695648] Updated weights for policy 0, policy_version 31568 (0.0013)
-[2026-06-03 02:49:40,709][695648] Updated weights for policy 0, policy_version 31618 (0.0013)
-[2026-06-03 02:49:42,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 14106.9). Total num frames: 16220160. Throughput: 0: 13915.0. Samples: 16196096. Policy #0 lag: (min: 8.0, avg: 13.3, max: 72.0)
-[2026-06-03 02:49:42,189][694701] Avg episode reward: [(0, '6983.900')]
-[2026-06-03 02:49:42,193][695578] Saving new best policy, reward=6983.900!
-[2026-06-03 02:49:43,129][695648] Updated weights for policy 0, policy_version 31697 (0.0015)
-[2026-06-03 02:49:45,618][695648] Updated weights for policy 0, policy_version 31776 (0.0012)
-[2026-06-03 02:49:47,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.4, 300 sec: 14051.4). Total num frames: 16285696. Throughput: 0: 13915.0. Samples: 16283648. Policy #0 lag: (min: 8.0, avg: 13.3, max: 72.0)
-[2026-06-03 02:49:47,188][694701] Avg episode reward: [(0, '7137.100')]
-[2026-06-03 02:49:47,191][695578] Saving new best policy, reward=7137.100!
-[2026-06-03 02:49:48,049][695648] Updated weights for policy 0, policy_version 31840 (0.0016)
-[2026-06-03 02:49:50,302][695648] Updated weights for policy 0, policy_version 31904 (0.0012)
-[2026-06-03 02:49:52,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13653.3, 300 sec: 13995.8). Total num frames: 16351232. Throughput: 0: 13824.0. Samples: 16365568. Policy #0 lag: (min: 1.0, avg: 6.3, max: 65.0)
-[2026-06-03 02:49:52,188][694701] Avg episode reward: [(0, '7246.850')]
-[2026-06-03 02:49:52,193][695578] Saving new best policy, reward=7246.850!
-[2026-06-03 02:49:52,704][695648] Updated weights for policy 0, policy_version 31968 (0.0015)
-[2026-06-03 02:49:54,784][695578] Signal inference workers to stop experience collection... (1500 times)
-[2026-06-03 02:49:54,813][695648] InferenceWorker_p0-w0: stopping experience collection (1500 times)
-[2026-06-03 02:49:54,915][695578] Signal inference workers to resume experience collection... (1500 times)
-[2026-06-03 02:49:54,916][695648] InferenceWorker_p0-w0: resuming experience collection (1500 times)
-[2026-06-03 02:49:54,966][695648] Updated weights for policy 0, policy_version 32018 (0.0013)
-[2026-06-03 02:49:57,130][695648] Updated weights for policy 0, policy_version 32066 (0.0012)
-[2026-06-03 02:49:57,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13653.4, 300 sec: 13995.8). Total num frames: 16416768. Throughput: 0: 14768.4. Samples: 16450560. Policy #0 lag: (min: 1.0, avg: 6.3, max: 65.0)
-[2026-06-03 02:49:57,188][694701] Avg episode reward: [(0, '7131.050')]
-[2026-06-03 02:49:59,603][695648] Updated weights for policy 0, policy_version 32144 (0.0013)
-[2026-06-03 02:50:02,098][695648] Updated weights for policy 0, policy_version 32210 (0.0015)
-[2026-06-03 02:50:02,187][694701] Fps is (10 sec: 13926.5, 60 sec: 13789.9, 300 sec: 14023.6). Total num frames: 16490496. Throughput: 0: 13812.7. Samples: 16489472. Policy #0 lag: (min: 1.0, avg: 6.3, max: 65.0)
-[2026-06-03 02:50:02,188][694701] Avg episode reward: [(0, '7193.050')]
-[2026-06-03 02:50:04,358][695648] Updated weights for policy 0, policy_version 32272 (0.0014)
-[2026-06-03 02:50:06,684][695648] Updated weights for policy 0, policy_version 32336 (0.0014)
-[2026-06-03 02:50:07,187][694701] Fps is (10 sec: 16383.8, 60 sec: 14199.4, 300 sec: 14106.9). Total num frames: 16580608. Throughput: 0: 13869.5. Samples: 16576000. Policy #0 lag: (min: 1.0, avg: 6.3, max: 65.0)
-[2026-06-03 02:50:07,188][694701] Avg episode reward: [(0, '7222.600')]
-[2026-06-03 02:50:09,247][695648] Updated weights for policy 0, policy_version 32402 (0.0013)
-[2026-06-03 02:50:11,582][695648] Updated weights for policy 0, policy_version 32467 (0.0014)
-[2026-06-03 02:50:12,187][694701] Fps is (10 sec: 15564.9, 60 sec: 14062.9, 300 sec: 14106.9). Total num frames: 16646144. Throughput: 0: 13846.8. Samples: 16614400. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:50:12,188][694701] Avg episode reward: [(0, '7269.350')]
-[2026-06-03 02:50:12,192][695578] Saving new best policy, reward=7269.350!
-[2026-06-03 02:50:14,048][695648] Updated weights for policy 0, policy_version 32544 (0.0012)
-[2026-06-03 02:50:16,805][695648] Updated weights for policy 0, policy_version 32628 (0.0012)
-[2026-06-03 02:50:17,187][694701] Fps is (10 sec: 13107.4, 60 sec: 13789.9, 300 sec: 13995.8). Total num frames: 16711680. Throughput: 0: 13858.2. Samples: 16695296. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:50:17,188][694701] Avg episode reward: [(0, '7291.650')]
-[2026-06-03 02:50:17,192][695578] Saving new best policy, reward=7291.650!
-[2026-06-03 02:50:19,185][695648] Updated weights for policy 0, policy_version 32699 (0.0009)
-[2026-06-03 02:50:21,566][695648] Updated weights for policy 0, policy_version 32761 (0.0013)
-[2026-06-03 02:50:22,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13789.9, 300 sec: 13995.8). Total num frames: 16777216. Throughput: 0: 13824.0. Samples: 16778752. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:50:22,189][694701] Avg episode reward: [(0, '7322.000')]
-[2026-06-03 02:50:22,193][695578] Saving new best policy, reward=7322.000!
-[2026-06-03 02:50:23,887][695648] Updated weights for policy 0, policy_version 32825 (0.0011)
-[2026-06-03 02:50:26,215][695648] Updated weights for policy 0, policy_version 32889 (0.0010)
-[2026-06-03 02:50:27,187][694701] Fps is (10 sec: 13107.1, 60 sec: 13653.3, 300 sec: 13995.8). Total num frames: 16842752. Throughput: 0: 13858.2. Samples: 16819712. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:50:27,189][694701] Avg episode reward: [(0, '7404.450')]
-[2026-06-03 02:50:27,193][695578] Saving new best policy, reward=7404.450!
-[2026-06-03 02:50:28,362][695648] Updated weights for policy 0, policy_version 32951 (0.0014)
-[2026-06-03 02:50:30,647][695648] Updated weights for policy 0, policy_version 33012 (0.0014)
-[2026-06-03 02:50:32,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.4, 300 sec: 13995.8). Total num frames: 16908288. Throughput: 0: 13903.6. Samples: 16909312. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:50:32,188][694701] Avg episode reward: [(0, '7447.150')]
-[2026-06-03 02:50:32,192][695578] Saving new best policy, reward=7447.150!
-[2026-06-03 02:50:32,975][695578] Signal inference workers to stop experience collection... (1550 times)
-[2026-06-03 02:50:33,007][695648] InferenceWorker_p0-w0: stopping experience collection (1550 times)
-[2026-06-03 02:50:33,098][695578] Signal inference workers to resume experience collection... (1550 times)
-[2026-06-03 02:50:33,099][695648] InferenceWorker_p0-w0: resuming experience collection (1550 times)
-[2026-06-03 02:50:33,101][695648] Updated weights for policy 0, policy_version 33072 (0.0014)
-[2026-06-03 02:50:35,319][695648] Updated weights for policy 0, policy_version 33138 (0.0014)
-[2026-06-03 02:50:37,187][694701] Fps is (10 sec: 13107.4, 60 sec: 13653.4, 300 sec: 13940.3). Total num frames: 16973824. Throughput: 0: 13892.3. Samples: 16990720. Policy #0 lag: (min: 4.0, avg: 9.0, max: 68.0)
-[2026-06-03 02:50:37,188][694701] Avg episode reward: [(0, '7363.050')]
-[2026-06-03 02:50:37,676][695648] Updated weights for policy 0, policy_version 33200 (0.0012)
-[2026-06-03 02:50:40,058][695648] Updated weights for policy 0, policy_version 33265 (0.0012)
-[2026-06-03 02:50:42,187][694701] Fps is (10 sec: 13926.5, 60 sec: 13789.9, 300 sec: 13912.5). Total num frames: 17047552. Throughput: 0: 13846.7. Samples: 17073664. Policy #0 lag: (min: 4.0, avg: 9.0, max: 68.0)
-[2026-06-03 02:50:42,188][694701] Avg episode reward: [(0, '7495.000')]
-[2026-06-03 02:50:42,348][695648] Updated weights for policy 0, policy_version 33313 (0.0010)
-[2026-06-03 02:50:42,436][695578] Saving new best policy, reward=7495.000!
-[2026-06-03 02:50:44,798][695648] Updated weights for policy 0, policy_version 33392 (0.0013)
-[2026-06-03 02:50:47,187][694701] Fps is (10 sec: 14745.4, 60 sec: 13926.4, 300 sec: 13940.3). Total num frames: 17121280. Throughput: 0: 13869.5. Samples: 17113600. Policy #0 lag: (min: 4.0, avg: 9.0, max: 68.0)
-[2026-06-03 02:50:47,189][694701] Avg episode reward: [(0, '7263.650')]
-[2026-06-03 02:50:47,208][695648] Updated weights for policy 0, policy_version 33442 (0.0013)
-[2026-06-03 02:50:49,523][695648] Updated weights for policy 0, policy_version 33506 (0.0010)
-[2026-06-03 02:50:51,832][695648] Updated weights for policy 0, policy_version 33570 (0.0010)
-[2026-06-03 02:50:52,187][694701] Fps is (10 sec: 15564.8, 60 sec: 14199.5, 300 sec: 13995.8). Total num frames: 17203200. Throughput: 0: 13835.4. Samples: 17198592. Policy #0 lag: (min: 4.0, avg: 9.0, max: 68.0)
-[2026-06-03 02:50:52,188][694701] Avg episode reward: [(0, '7173.000')]
-[2026-06-03 02:50:54,095][695648] Updated weights for policy 0, policy_version 33634 (0.0011)
-[2026-06-03 02:50:56,379][695648] Updated weights for policy 0, policy_version 33712 (0.0011)
-[2026-06-03 02:50:57,188][694701] Fps is (10 sec: 14744.7, 60 sec: 14199.3, 300 sec: 13995.8). Total num frames: 17268736. Throughput: 0: 13880.7. Samples: 17239040. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0)
-[2026-06-03 02:50:57,190][694701] Avg episode reward: [(0, '7324.600')]
-[2026-06-03 02:50:58,822][695648] Updated weights for policy 0, policy_version 33778 (0.0010)
-[2026-06-03 02:51:01,308][695648] Updated weights for policy 0, policy_version 33849 (0.0010)
-[2026-06-03 02:51:02,187][694701] Fps is (10 sec: 13107.1, 60 sec: 14062.9, 300 sec: 13968.1). Total num frames: 17334272. Throughput: 0: 14006.0. Samples: 17325568. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0)
-[2026-06-03 02:51:02,188][694701] Avg episode reward: [(0, '7219.300')]
-[2026-06-03 02:51:03,672][695648] Updated weights for policy 0, policy_version 33911 (0.0010)
-[2026-06-03 02:51:05,931][695648] Updated weights for policy 0, policy_version 33973 (0.0012)
-[2026-06-03 02:51:07,187][694701] Fps is (10 sec: 13107.9, 60 sec: 13653.3, 300 sec: 13912.5). Total num frames: 17399808. Throughput: 0: 14006.0. Samples: 17409024. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0)
-[2026-06-03 02:51:07,192][694701] Avg episode reward: [(0, '7327.100')]
-[2026-06-03 02:51:08,233][695648] Updated weights for policy 0, policy_version 34038 (0.0011)
-[2026-06-03 02:51:10,720][695648] Updated weights for policy 0, policy_version 34104 (0.0015)
-[2026-06-03 02:51:12,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 13884.8). Total num frames: 17465344. Throughput: 0: 14040.2. Samples: 17451520. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0)
-[2026-06-03 02:51:12,188][694701] Avg episode reward: [(0, '7456.050')]
-[2026-06-03 02:51:12,806][695578] Signal inference workers to stop experience collection... (1600 times)
-[2026-06-03 02:51:12,837][695648] InferenceWorker_p0-w0: stopping experience collection (1600 times)
-[2026-06-03 02:51:12,931][695578] Signal inference workers to resume experience collection... (1600 times)
-[2026-06-03 02:51:12,932][695648] InferenceWorker_p0-w0: resuming experience collection (1600 times)
-[2026-06-03 02:51:13,172][695648] Updated weights for policy 0, policy_version 34171 (0.0015)
-[2026-06-03 02:51:15,585][695648] Updated weights for policy 0, policy_version 34240 (0.0014)
-[2026-06-03 02:51:17,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13653.3, 300 sec: 13884.7). Total num frames: 17530880. Throughput: 0: 13858.1. Samples: 17532928. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0)
-[2026-06-03 02:51:17,188][694701] Avg episode reward: [(0, '7563.450')]
-[2026-06-03 02:51:17,193][695578] Saving new best policy, reward=7563.450!
-[2026-06-03 02:51:19,722][695648] Updated weights for policy 0, policy_version 34305 (0.0012)
-[2026-06-03 02:51:20,276][695648] Updated weights for policy 0, policy_version 34368 (0.0011)
-[2026-06-03 02:51:22,187][694701] Fps is (10 sec: 13926.3, 60 sec: 13789.8, 300 sec: 13912.5). Total num frames: 17604608. Throughput: 0: 13915.0. Samples: 17616896. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:51:22,189][694701] Avg episode reward: [(0, '7618.500')]
-[2026-06-03 02:51:22,464][695578] Saving new best policy, reward=7618.500!
-[2026-06-03 02:51:22,655][695648] Updated weights for policy 0, policy_version 34429 (0.0014)
-[2026-06-03 02:51:24,952][695648] Updated weights for policy 0, policy_version 34496 (0.0015)
-[2026-06-03 02:51:27,187][694701] Fps is (10 sec: 15564.8, 60 sec: 14062.9, 300 sec: 13968.1). Total num frames: 17686528. Throughput: 0: 13027.5. Samples: 17659904. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:51:27,188][694701] Avg episode reward: [(0, '7659.650')]
-[2026-06-03 02:51:27,233][695578] Saving new best policy, reward=7659.650!
-[2026-06-03 02:51:27,266][695648] Updated weights for policy 0, policy_version 34560 (0.0011)
-[2026-06-03 02:51:29,586][695648] Updated weights for policy 0, policy_version 34620 (0.0012)
-[2026-06-03 02:51:31,954][695648] Updated weights for policy 0, policy_version 34688 (0.0010)
-[2026-06-03 02:51:32,187][694701] Fps is (10 sec: 15564.7, 60 sec: 14199.4, 300 sec: 13940.3). Total num frames: 17760256. Throughput: 0: 14006.0. Samples: 17743872. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:51:32,189][694701] Avg episode reward: [(0, '7630.550')]
-[2026-06-03 02:51:36,036][695648] Updated weights for policy 0, policy_version 34753 (0.0016)
-[2026-06-03 02:51:36,589][695648] Updated weights for policy 0, policy_version 34816 (0.0011)
-[2026-06-03 02:51:37,187][694701] Fps is (10 sec: 13926.1, 60 sec: 14199.4, 300 sec: 13884.7). Total num frames: 17825792. Throughput: 0: 13983.2. Samples: 17827840. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:51:37,189][694701] Avg episode reward: [(0, '7493.950')]
-[2026-06-03 02:51:40,936][695648] Updated weights for policy 0, policy_version 34882 (0.0011)
-[2026-06-03 02:51:42,187][694701] Fps is (10 sec: 13107.4, 60 sec: 14062.9, 300 sec: 13884.7). Total num frames: 17891328. Throughput: 0: 13926.6. Samples: 17865728. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:51:42,188][694701] Avg episode reward: [(0, '7270.250')]
-[2026-06-03 02:51:43,248][695648] Updated weights for policy 0, policy_version 34946 (0.0014)
-[2026-06-03 02:51:43,853][695648] Updated weights for policy 0, policy_version 35008 (0.0011)
-[2026-06-03 02:51:47,187][694701] Fps is (10 sec: 13107.5, 60 sec: 13926.4, 300 sec: 13884.7). Total num frames: 17956864. Throughput: 0: 13892.3. Samples: 17950720. Policy #0 lag: (min: 3.0, avg: 8.0, max: 67.0)
-[2026-06-03 02:51:47,188][694701] Avg episode reward: [(0, '7430.950')]
-[2026-06-03 02:51:47,958][695648] Updated weights for policy 0, policy_version 35074 (0.0011)
-[2026-06-03 02:51:50,271][695648] Updated weights for policy 0, policy_version 35138 (0.0012)
-[2026-06-03 02:51:52,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13653.3, 300 sec: 13884.7). Total num frames: 18022400. Throughput: 0: 13869.6. Samples: 18033152. Policy #0 lag: (min: 3.0, avg: 8.0, max: 67.0)
-[2026-06-03 02:51:52,188][694701] Avg episode reward: [(0, '7382.800')]
-[2026-06-03 02:51:52,643][695578] Signal inference workers to stop experience collection... (1650 times)
-[2026-06-03 02:51:52,674][695648] InferenceWorker_p0-w0: stopping experience collection (1650 times)
-[2026-06-03 02:51:52,697][695648] Updated weights for policy 0, policy_version 35202 (0.0009)
-[2026-06-03 02:51:52,779][695578] Signal inference workers to resume experience collection... (1650 times)
-[2026-06-03 02:51:52,780][695648] InferenceWorker_p0-w0: resuming experience collection (1650 times)
-[2026-06-03 02:51:53,278][695648] Updated weights for policy 0, policy_version 35264 (0.0012)
-[2026-06-03 02:51:57,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.5, 300 sec: 13884.7). Total num frames: 18087936. Throughput: 0: 13880.9. Samples: 18076160. Policy #0 lag: (min: 3.0, avg: 8.0, max: 67.0)
-[2026-06-03 02:51:57,190][694701] Avg episode reward: [(0, '7428.950')]
-[2026-06-03 02:51:57,679][695648] Updated weights for policy 0, policy_version 35360 (0.0012)
-[2026-06-03 02:52:00,014][695648] Updated weights for policy 0, policy_version 35424 (0.0011)
-[2026-06-03 02:52:02,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 13801.4). Total num frames: 18153472. Throughput: 0: 13880.9. Samples: 18157568. Policy #0 lag: (min: 3.0, avg: 8.0, max: 67.0)
-[2026-06-03 02:52:02,188][694701] Avg episode reward: [(0, '7510.000')]
-[2026-06-03 02:52:02,403][695648] Updated weights for policy 0, policy_version 35488 (0.0010)
-[2026-06-03 02:52:04,691][695648] Updated weights for policy 0, policy_version 35552 (0.0010)
-[2026-06-03 02:52:07,110][695648] Updated weights for policy 0, policy_version 35616 (0.0009)
-[2026-06-03 02:52:07,187][694701] Fps is (10 sec: 14745.6, 60 sec: 13926.4, 300 sec: 13829.2). Total num frames: 18235392. Throughput: 0: 13892.3. Samples: 18242048. Policy #0 lag: (min: 11.0, avg: 15.9, max: 75.0)
-[2026-06-03 02:52:07,188][694701] Avg episode reward: [(0, '7571.900')]
-[2026-06-03 02:52:09,387][695648] Updated weights for policy 0, policy_version 35666 (0.0010)
-[2026-06-03 02:52:11,830][695648] Updated weights for policy 0, policy_version 35728 (0.0010)
-[2026-06-03 02:52:12,187][694701] Fps is (10 sec: 15564.8, 60 sec: 14062.9, 300 sec: 13857.0). Total num frames: 18309120. Throughput: 0: 13892.3. Samples: 18285056. Policy #0 lag: (min: 11.0, avg: 15.9, max: 75.0)
-[2026-06-03 02:52:12,189][694701] Avg episode reward: [(0, '7584.800')]
-[2026-06-03 02:52:14,430][695648] Updated weights for policy 0, policy_version 35824 (0.0012)
-[2026-06-03 02:52:16,783][695648] Updated weights for policy 0, policy_version 35888 (0.0011)
-[2026-06-03 02:52:17,188][694701] Fps is (10 sec: 14745.1, 60 sec: 14199.4, 300 sec: 13884.7). Total num frames: 18382848. Throughput: 0: 13789.8. Samples: 18364416. Policy #0 lag: (min: 11.0, avg: 15.9, max: 75.0)
-[2026-06-03 02:52:17,190][694701] Avg episode reward: [(0, '7681.100')]
-[2026-06-03 02:52:17,201][695578] Saving new best policy, reward=7681.100!
-[2026-06-03 02:52:19,312][695648] Updated weights for policy 0, policy_version 35954 (0.0013)
-[2026-06-03 02:52:21,647][695648] Updated weights for policy 0, policy_version 36016 (0.0011)
-[2026-06-03 02:52:22,187][694701] Fps is (10 sec: 13926.4, 60 sec: 14063.0, 300 sec: 13884.7). Total num frames: 18448384. Throughput: 0: 13778.6. Samples: 18447872. Policy #0 lag: (min: 11.0, avg: 15.9, max: 75.0)
-[2026-06-03 02:52:22,188][694701] Avg episode reward: [(0, '7833.300')]
-[2026-06-03 02:52:22,191][695578] Saving new best policy, reward=7833.300!
-[2026-06-03 02:52:23,907][695648] Updated weights for policy 0, policy_version 36065 (0.0011)
-[2026-06-03 02:52:26,318][695648] Updated weights for policy 0, policy_version 36130 (0.0010)
-[2026-06-03 02:52:27,187][694701] Fps is (10 sec: 13107.7, 60 sec: 13789.9, 300 sec: 13884.8). Total num frames: 18513920. Throughput: 0: 13801.3. Samples: 18486784. Policy #0 lag: (min: 11.0, avg: 15.9, max: 75.0)
-[2026-06-03 02:52:27,188][694701] Avg episode reward: [(0, '8016.450')]
-[2026-06-03 02:52:27,191][695578] Saving new best policy, reward=8016.450!
-[2026-06-03 02:52:28,836][695648] Updated weights for policy 0, policy_version 36209 (0.0012)
-[2026-06-03 02:52:31,032][695578] Signal inference workers to stop experience collection... (1700 times)
-[2026-06-03 02:52:31,063][695648] InferenceWorker_p0-w0: stopping experience collection (1700 times)
-[2026-06-03 02:52:31,083][695648] Updated weights for policy 0, policy_version 36258 (0.0009)
-[2026-06-03 02:52:31,173][695578] Signal inference workers to resume experience collection... (1700 times)
-[2026-06-03 02:52:31,173][695648] InferenceWorker_p0-w0: resuming experience collection (1700 times)
-[2026-06-03 02:52:32,187][694701] Fps is (10 sec: 13106.8, 60 sec: 13653.3, 300 sec: 13884.7). Total num frames: 18579456. Throughput: 0: 13812.5. Samples: 18572288. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0)
-[2026-06-03 02:52:32,188][694701] Avg episode reward: [(0, '8029.050')]
-[2026-06-03 02:52:32,192][695578] Saving new best policy, reward=8029.050!
-[2026-06-03 02:52:33,558][695648] Updated weights for policy 0, policy_version 36323 (0.0012)
-[2026-06-03 02:52:35,829][695648] Updated weights for policy 0, policy_version 36384 (0.0011)
-[2026-06-03 02:52:37,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.4, 300 sec: 13801.5). Total num frames: 18644992. Throughput: 0: 13733.0. Samples: 18651136. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0)
-[2026-06-03 02:52:37,188][694701] Avg episode reward: [(0, '8012.400')]
-[2026-06-03 02:52:38,243][695648] Updated weights for policy 0, policy_version 36448 (0.0012)
-[2026-06-03 02:52:40,690][695648] Updated weights for policy 0, policy_version 36531 (0.0013)
-[2026-06-03 02:52:42,187][694701] Fps is (10 sec: 13107.5, 60 sec: 13653.3, 300 sec: 13773.7). Total num frames: 18710528. Throughput: 0: 13733.0. Samples: 18694144. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0)
-[2026-06-03 02:52:42,188][694701] Avg episode reward: [(0, '7963.800')]
-[2026-06-03 02:52:43,352][695648] Updated weights for policy 0, policy_version 36598 (0.0014)
-[2026-06-03 02:52:45,944][695648] Updated weights for policy 0, policy_version 36671 (0.0014)
-[2026-06-03 02:52:47,187][694701] Fps is (10 sec: 13107.1, 60 sec: 13653.3, 300 sec: 13773.7). Total num frames: 18776064. Throughput: 0: 13698.8. Samples: 18774016. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0)
-[2026-06-03 02:52:47,188][694701] Avg episode reward: [(0, '7966.550')]
-[2026-06-03 02:52:50,144][695648] Updated weights for policy 0, policy_version 36738 (0.0011)
-[2026-06-03 02:52:52,188][694701] Fps is (10 sec: 13106.9, 60 sec: 13653.3, 300 sec: 13773.7). Total num frames: 18841600. Throughput: 0: 13619.1. Samples: 18854912. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0)
-[2026-06-03 02:52:52,190][694701] Avg episode reward: [(0, '7984.450')]
-[2026-06-03 02:52:52,545][695648] Updated weights for policy 0, policy_version 36802 (0.0010)
-[2026-06-03 02:52:54,930][695648] Updated weights for policy 0, policy_version 36880 (0.0016)
-[2026-06-03 02:52:57,185][695648] Updated weights for policy 0, policy_version 36944 (0.0011)
-[2026-06-03 02:52:57,187][694701] Fps is (10 sec: 13926.6, 60 sec: 13789.9, 300 sec: 13801.4). Total num frames: 18915328. Throughput: 0: 14575.0. Samples: 18940928. Policy #0 lag: (min: 1.0, avg: 6.0, max: 65.0)
-[2026-06-03 02:52:57,188][694701] Avg episode reward: [(0, '7982.900')]
-[2026-06-03 02:52:59,423][695648] Updated weights for policy 0, policy_version 36994 (0.0010)
-[2026-06-03 02:53:01,771][695648] Updated weights for policy 0, policy_version 37058 (0.0015)
-[2026-06-03 02:53:02,187][694701] Fps is (10 sec: 15565.0, 60 sec: 14062.9, 300 sec: 13857.0). Total num frames: 18997248. Throughput: 0: 13733.0. Samples: 18982400. Policy #0 lag: (min: 1.0, avg: 6.0, max: 65.0)
-[2026-06-03 02:53:02,188][694701] Avg episode reward: [(0, '8250.750')]
-[2026-06-03 02:53:02,336][695578] Saving new best policy, reward=8250.750!
-[2026-06-03 02:53:04,411][695648] Updated weights for policy 0, policy_version 37152 (0.0012)
-[2026-06-03 02:53:06,944][695648] Updated weights for policy 0, policy_version 37239 (0.0013)
-[2026-06-03 02:53:07,187][694701] Fps is (10 sec: 15564.6, 60 sec: 13926.4, 300 sec: 13884.8). Total num frames: 19070976. Throughput: 0: 13733.0. Samples: 19065856. Policy #0 lag: (min: 1.0, avg: 6.0, max: 65.0)
-[2026-06-03 02:53:07,188][694701] Avg episode reward: [(0, '8368.550')]
-[2026-06-03 02:53:07,192][695578] Saving new best policy, reward=8368.550!
-[2026-06-03 02:53:09,264][695648] Updated weights for policy 0, policy_version 37305 (0.0012)
-[2026-06-03 02:53:11,227][695578] Signal inference workers to stop experience collection... (1750 times)
-[2026-06-03 02:53:11,260][695648] InferenceWorker_p0-w0: stopping experience collection (1750 times)
-[2026-06-03 02:53:11,351][695578] Signal inference workers to resume experience collection... (1750 times)
-[2026-06-03 02:53:11,352][695648] InferenceWorker_p0-w0: resuming experience collection (1750 times)
-[2026-06-03 02:53:11,647][695648] Updated weights for policy 0, policy_version 37376 (0.0013)
-[2026-06-03 02:53:12,187][694701] Fps is (10 sec: 13926.5, 60 sec: 13789.8, 300 sec: 13884.7). Total num frames: 19136512. Throughput: 0: 13801.2. Samples: 19107840. Policy #0 lag: (min: 1.0, avg: 6.0, max: 65.0)
-[2026-06-03 02:53:12,188][694701] Avg episode reward: [(0, '8274.500')]
-[2026-06-03 02:53:15,791][695648] Updated weights for policy 0, policy_version 37442 (0.0012)
-[2026-06-03 02:53:17,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.4, 300 sec: 13884.8). Total num frames: 19202048. Throughput: 0: 13824.1. Samples: 19194368. Policy #0 lag: (min: 1.0, avg: 6.0, max: 65.0)
-[2026-06-03 02:53:17,188][694701] Avg episode reward: [(0, '8151.200')]
-[2026-06-03 02:53:18,273][695648] Updated weights for policy 0, policy_version 37520 (0.0013)
-[2026-06-03 02:53:20,591][695648] Updated weights for policy 0, policy_version 37584 (0.0015)
-[2026-06-03 02:53:22,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 13884.7). Total num frames: 19267584. Throughput: 0: 13869.5. Samples: 19275264. Policy #0 lag: (min: 10.0, avg: 15.0, max: 74.0)
-[2026-06-03 02:53:22,188][694701] Avg episode reward: [(0, '7968.050')]
-[2026-06-03 02:53:22,925][695648] Updated weights for policy 0, policy_version 37648 (0.0015)
-[2026-06-03 02:53:25,297][695648] Updated weights for policy 0, policy_version 37712 (0.0011)
-[2026-06-03 02:53:27,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 13884.7). Total num frames: 19333120. Throughput: 0: 13903.7. Samples: 19319808. Policy #0 lag: (min: 10.0, avg: 15.0, max: 74.0)
-[2026-06-03 02:53:27,189][694701] Avg episode reward: [(0, '7915.950')]
-[2026-06-03 02:53:27,673][695648] Updated weights for policy 0, policy_version 37776 (0.0009)
-[2026-06-03 02:53:30,334][695648] Updated weights for policy 0, policy_version 37872 (0.0013)
-[2026-06-03 02:53:32,187][694701] Fps is (10 sec: 13107.1, 60 sec: 13653.3, 300 sec: 13801.4). Total num frames: 19398656. Throughput: 0: 13926.3. Samples: 19400704. Policy #0 lag: (min: 10.0, avg: 15.0, max: 74.0)
-[2026-06-03 02:53:32,189][694701] Avg episode reward: [(0, '7993.750')]
-[2026-06-03 02:53:32,675][695648] Updated weights for policy 0, policy_version 37936 (0.0010)
-[2026-06-03 02:53:34,971][695648] Updated weights for policy 0, policy_version 38000 (0.0014)
-[2026-06-03 02:53:37,187][694701] Fps is (10 sec: 14745.7, 60 sec: 13926.4, 300 sec: 13829.2). Total num frames: 19480576. Throughput: 0: 14051.6. Samples: 19487232. Policy #0 lag: (min: 10.0, avg: 15.0, max: 74.0)
-[2026-06-03 02:53:37,192][694701] Avg episode reward: [(0, '8050.800')]
-[2026-06-03 02:53:37,199][695648] Updated weights for policy 0, policy_version 38064 (0.0011)
-[2026-06-03 02:53:39,543][695648] Updated weights for policy 0, policy_version 38130 (0.0011)
-[2026-06-03 02:53:42,039][695648] Updated weights for policy 0, policy_version 38202 (0.0012)
-[2026-06-03 02:53:42,188][694701] Fps is (10 sec: 16383.6, 60 sec: 14199.4, 300 sec: 13884.7). Total num frames: 19562496. Throughput: 0: 13095.7. Samples: 19530240. Policy #0 lag: (min: 10.0, avg: 15.0, max: 74.0)
-[2026-06-03 02:53:42,189][694701] Avg episode reward: [(0, '8090.250')]
-[2026-06-03 02:53:44,411][695648] Updated weights for policy 0, policy_version 38267 (0.0014)
-[2026-06-03 02:53:47,153][695648] Updated weights for policy 0, policy_version 38333 (0.0012)
-[2026-06-03 02:53:47,187][694701] Fps is (10 sec: 14745.6, 60 sec: 14199.5, 300 sec: 13884.8). Total num frames: 19628032. Throughput: 0: 13983.4. Samples: 19611648. Policy #0 lag: (min: 3.0, avg: 7.4, max: 67.0)
-[2026-06-03 02:53:47,188][694701] Avg episode reward: [(0, '8121.000')]
-[2026-06-03 02:53:49,557][695648] Updated weights for policy 0, policy_version 38399 (0.0013)
-[2026-06-03 02:53:51,278][695578] Signal inference workers to stop experience collection... (1800 times)
-[2026-06-03 02:53:51,308][695648] InferenceWorker_p0-w0: stopping experience collection (1800 times)
-[2026-06-03 02:53:51,414][695578] Signal inference workers to resume experience collection... (1800 times)
-[2026-06-03 02:53:51,415][695648] InferenceWorker_p0-w0: resuming experience collection (1800 times)
-[2026-06-03 02:53:51,897][695648] Updated weights for policy 0, policy_version 38464 (0.0012)
-[2026-06-03 02:53:52,187][694701] Fps is (10 sec: 13107.8, 60 sec: 14199.5, 300 sec: 13884.7). Total num frames: 19693568. Throughput: 0: 13937.8. Samples: 19693056. Policy #0 lag: (min: 3.0, avg: 7.4, max: 67.0)
-[2026-06-03 02:53:52,188][694701] Avg episode reward: [(0, '8233.850')]
-[2026-06-03 02:53:54,285][695648] Updated weights for policy 0, policy_version 38522 (0.0015)
-[2026-06-03 02:53:56,608][695648] Updated weights for policy 0, policy_version 38584 (0.0012)
-[2026-06-03 02:53:57,187][694701] Fps is (10 sec: 13107.2, 60 sec: 14062.9, 300 sec: 13884.8). Total num frames: 19759104. Throughput: 0: 13835.4. Samples: 19730432. Policy #0 lag: (min: 3.0, avg: 7.4, max: 67.0)
-[2026-06-03 02:53:57,188][694701] Avg episode reward: [(0, '8183.150')]
-[2026-06-03 02:53:58,987][695648] Updated weights for policy 0, policy_version 38645 (0.0012)
-[2026-06-03 02:54:01,466][695648] Updated weights for policy 0, policy_version 38715 (0.0011)
-[2026-06-03 02:54:02,187][694701] Fps is (10 sec: 13107.0, 60 sec: 13789.9, 300 sec: 13884.7). Total num frames: 19824640. Throughput: 0: 13778.5. Samples: 19814400. Policy #0 lag: (min: 3.0, avg: 7.4, max: 67.0)
-[2026-06-03 02:54:02,189][694701] Avg episode reward: [(0, '8258.500')]
-[2026-06-03 02:54:03,853][695648] Updated weights for policy 0, policy_version 38772 (0.0011)
-[2026-06-03 02:54:06,169][695648] Updated weights for policy 0, policy_version 38837 (0.0012)
-[2026-06-03 02:54:07,187][694701] Fps is (10 sec: 13107.0, 60 sec: 13653.3, 300 sec: 13857.0). Total num frames: 19890176. Throughput: 0: 13778.5. Samples: 19895296. Policy #0 lag: (min: 3.0, avg: 7.4, max: 67.0)
-[2026-06-03 02:54:07,188][694701] Avg episode reward: [(0, '8178.550')]
-[2026-06-03 02:54:08,649][695648] Updated weights for policy 0, policy_version 38905 (0.0012)
-[2026-06-03 02:54:11,068][695648] Updated weights for policy 0, policy_version 38972 (0.0013)
-[2026-06-03 02:54:12,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13653.4, 300 sec: 13801.4). Total num frames: 19955712. Throughput: 0: 13687.5. Samples: 19935744. Policy #0 lag: (min: 3.0, avg: 7.4, max: 67.0)
-[2026-06-03 02:54:12,189][694701] Avg episode reward: [(0, '8362.600')]
-[2026-06-03 02:54:13,622][695648] Updated weights for policy 0, policy_version 39040 (0.0011)
-[2026-06-03 02:54:17,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13653.3, 300 sec: 13801.4). Total num frames: 20021248. Throughput: 0: 13767.2. Samples: 20020224. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:54:17,188][694701] Avg episode reward: [(0, '8552.450')]
-[2026-06-03 02:54:17,193][695578] Saving new best policy, reward=8552.450!
-[2026-06-03 02:54:17,680][695648] Updated weights for policy 0, policy_version 39105 (0.0011)
-[2026-06-03 02:54:20,157][695648] Updated weights for policy 0, policy_version 39184 (0.0012)
-[2026-06-03 02:54:22,187][694701] Fps is (10 sec: 13107.1, 60 sec: 13653.3, 300 sec: 13773.7). Total num frames: 20086784. Throughput: 0: 13619.2. Samples: 20100096. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:54:22,189][694701] Avg episode reward: [(0, '8658.350')]
-[2026-06-03 02:54:22,196][695578] Saving new best policy, reward=8658.350!
-[2026-06-03 02:54:22,665][695648] Updated weights for policy 0, policy_version 39248 (0.0013)
-[2026-06-03 02:54:25,112][695648] Updated weights for policy 0, policy_version 39328 (0.0009)
-[2026-06-03 02:54:27,187][694701] Fps is (10 sec: 13107.1, 60 sec: 13653.3, 300 sec: 13773.7). Total num frames: 20152320. Throughput: 0: 13585.2. Samples: 20141568. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:54:27,190][694701] Avg episode reward: [(0, '8803.500')]
-[2026-06-03 02:54:27,424][695578] Saving new best policy, reward=8803.500!
-[2026-06-03 02:54:27,574][695648] Updated weights for policy 0, policy_version 39408 (0.0010)
-[2026-06-03 02:54:29,811][695578] Signal inference workers to stop experience collection... (1850 times)
-[2026-06-03 02:54:29,843][695648] InferenceWorker_p0-w0: stopping experience collection (1850 times)
-[2026-06-03 02:54:29,934][695578] Signal inference workers to resume experience collection... (1850 times)
-[2026-06-03 02:54:29,935][695648] InferenceWorker_p0-w0: resuming experience collection (1850 times)
-[2026-06-03 02:54:30,056][695648] Updated weights for policy 0, policy_version 39481 (0.0013)
-[2026-06-03 02:54:32,187][694701] Fps is (10 sec: 13926.5, 60 sec: 13789.9, 300 sec: 13801.4). Total num frames: 20226048. Throughput: 0: 13596.4. Samples: 20223488. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:54:32,188][694701] Avg episode reward: [(0, '8611.400')]
-[2026-06-03 02:54:32,430][695648] Updated weights for policy 0, policy_version 39542 (0.0012)
-[2026-06-03 02:54:34,585][695648] Updated weights for policy 0, policy_version 39602 (0.0010)
-[2026-06-03 02:54:37,115][695648] Updated weights for policy 0, policy_version 39672 (0.0011)
-[2026-06-03 02:54:37,187][694701] Fps is (10 sec: 15564.7, 60 sec: 13789.8, 300 sec: 13857.0). Total num frames: 20307968. Throughput: 0: 13732.9. Samples: 20311040. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:54:37,188][694701] Avg episode reward: [(0, '8500.550')]
-[2026-06-03 02:54:39,590][695648] Updated weights for policy 0, policy_version 39740 (0.0009)
-[2026-06-03 02:54:41,755][695648] Updated weights for policy 0, policy_version 39799 (0.0011)
-[2026-06-03 02:54:42,187][694701] Fps is (10 sec: 15564.7, 60 sec: 13653.4, 300 sec: 13884.7). Total num frames: 20381696. Throughput: 0: 13767.1. Samples: 20349952. Policy #0 lag: (min: 3.0, avg: 7.8, max: 67.0)
-[2026-06-03 02:54:42,189][694701] Avg episode reward: [(0, '8482.850')]
-[2026-06-03 02:54:44,021][695648] Updated weights for policy 0, policy_version 39863 (0.0012)
-[2026-06-03 02:54:47,187][694701] Fps is (10 sec: 13926.6, 60 sec: 13653.3, 300 sec: 13884.8). Total num frames: 20447232. Throughput: 0: 13846.8. Samples: 20437504. Policy #0 lag: (min: 3.0, avg: 7.8, max: 67.0)
-[2026-06-03 02:54:47,188][694701] Avg episode reward: [(0, '8478.100')]
-[2026-06-03 02:54:48,224][695648] Updated weights for policy 0, policy_version 39937 (0.0012)
-[2026-06-03 02:54:50,718][695648] Updated weights for policy 0, policy_version 40002 (0.0012)
-[2026-06-03 02:54:51,291][695648] Updated weights for policy 0, policy_version 40064 (0.0009)
-[2026-06-03 02:54:52,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13653.3, 300 sec: 13884.7). Total num frames: 20512768. Throughput: 0: 13846.8. Samples: 20518400. Policy #0 lag: (min: 3.0, avg: 7.8, max: 67.0)
-[2026-06-03 02:54:52,188][694701] Avg episode reward: [(0, '8421.900')]
-[2026-06-03 02:54:53,501][695648] Updated weights for policy 0, policy_version 40125 (0.0013)
-[2026-06-03 02:54:55,908][695648] Updated weights for policy 0, policy_version 40191 (0.0013)
-[2026-06-03 02:54:57,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 13857.0). Total num frames: 20578304. Throughput: 0: 13915.0. Samples: 20561920. Policy #0 lag: (min: 3.0, avg: 7.8, max: 67.0)
-[2026-06-03 02:54:57,188][694701] Avg episode reward: [(0, '8437.350')]
-[2026-06-03 02:54:58,352][695648] Updated weights for policy 0, policy_version 40256 (0.0013)
-[2026-06-03 02:55:00,712][695648] Updated weights for policy 0, policy_version 40317 (0.0016)
-[2026-06-03 02:55:02,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13653.4, 300 sec: 13773.7). Total num frames: 20643840. Throughput: 0: 13880.9. Samples: 20644864. Policy #0 lag: (min: 3.0, avg: 7.8, max: 67.0)
-[2026-06-03 02:55:02,188][694701] Avg episode reward: [(0, '8993.500')]
-[2026-06-03 02:55:02,192][695578] Saving new best policy, reward=8993.500!
-[2026-06-03 02:55:03,078][695648] Updated weights for policy 0, policy_version 40380 (0.0012)
-[2026-06-03 02:55:05,383][695648] Updated weights for policy 0, policy_version 40443 (0.0012)
-[2026-06-03 02:55:07,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.4, 300 sec: 13773.7). Total num frames: 20709376. Throughput: 0: 13926.5. Samples: 20726784. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0)
-[2026-06-03 02:55:07,188][694701] Avg episode reward: [(0, '9037.350')]
-[2026-06-03 02:55:07,191][695578] Saving new best policy, reward=9037.350!
-[2026-06-03 02:55:07,812][695648] Updated weights for policy 0, policy_version 40503 (0.0011)
-[2026-06-03 02:55:09,709][695578] Signal inference workers to stop experience collection... (1900 times)
-[2026-06-03 02:55:09,739][695648] InferenceWorker_p0-w0: stopping experience collection (1900 times)
-[2026-06-03 02:55:09,845][695578] Signal inference workers to resume experience collection... (1900 times)
-[2026-06-03 02:55:09,845][695648] InferenceWorker_p0-w0: resuming experience collection (1900 times)
-[2026-06-03 02:55:10,087][695648] Updated weights for policy 0, policy_version 40569 (0.0014)
-[2026-06-03 02:55:12,187][694701] Fps is (10 sec: 13926.4, 60 sec: 13789.9, 300 sec: 13801.4). Total num frames: 20783104. Throughput: 0: 14836.6. Samples: 20809216. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0)
-[2026-06-03 02:55:12,188][694701] Avg episode reward: [(0, '9053.250')]
-[2026-06-03 02:55:12,344][695578] Saving new best policy, reward=9053.250!
-[2026-06-03 02:55:12,485][695648] Updated weights for policy 0, policy_version 40631 (0.0012)
-[2026-06-03 02:55:14,693][695648] Updated weights for policy 0, policy_version 40689 (0.0011)
-[2026-06-03 02:55:16,919][695648] Updated weights for policy 0, policy_version 40752 (0.0010)
-[2026-06-03 02:55:17,187][694701] Fps is (10 sec: 16383.9, 60 sec: 14199.5, 300 sec: 13884.7). Total num frames: 20873216. Throughput: 0: 13971.9. Samples: 20852224. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0)
-[2026-06-03 02:55:17,188][694701] Avg episode reward: [(0, '9133.050')]
-[2026-06-03 02:55:17,192][695578] Saving new best policy, reward=9133.050!
-[2026-06-03 02:55:19,209][695648] Updated weights for policy 0, policy_version 40819 (0.0013)
-[2026-06-03 02:55:21,494][695648] Updated weights for policy 0, policy_version 40892 (0.0010)
-[2026-06-03 02:55:22,187][694701] Fps is (10 sec: 15564.5, 60 sec: 14199.5, 300 sec: 13884.7). Total num frames: 20938752. Throughput: 0: 13983.3. Samples: 20940288. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0)
-[2026-06-03 02:55:22,188][694701] Avg episode reward: [(0, '9196.850')]
-[2026-06-03 02:55:22,194][695578] Saving new best policy, reward=9196.850!
-[2026-06-03 02:55:23,937][695648] Updated weights for policy 0, policy_version 40960 (0.0011)
-[2026-06-03 02:55:26,270][695648] Updated weights for policy 0, policy_version 41022 (0.0011)
-[2026-06-03 02:55:27,187][694701] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 13884.7). Total num frames: 21004288. Throughput: 0: 14017.5. Samples: 20980736. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0)
-[2026-06-03 02:55:27,188][694701] Avg episode reward: [(0, '8704.050')]
-[2026-06-03 02:55:28,587][695648] Updated weights for policy 0, policy_version 41086 (0.0010)
-[2026-06-03 02:55:30,957][695648] Updated weights for policy 0, policy_version 41152 (0.0010)
-[2026-06-03 02:55:32,187][694701] Fps is (10 sec: 13107.5, 60 sec: 14063.0, 300 sec: 13884.7). Total num frames: 21069824. Throughput: 0: 14006.1. Samples: 21067776. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0)
-[2026-06-03 02:55:32,188][694701] Avg episode reward: [(0, '8835.300')]
-[2026-06-03 02:55:33,451][695648] Updated weights for policy 0, policy_version 41212 (0.0013)
-[2026-06-03 02:55:35,780][695648] Updated weights for policy 0, policy_version 41274 (0.0009)
-[2026-06-03 02:55:37,187][694701] Fps is (10 sec: 13107.0, 60 sec: 13789.9, 300 sec: 13857.0). Total num frames: 21135360. Throughput: 0: 13971.9. Samples: 21147136. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:55:37,189][694701] Avg episode reward: [(0, '8696.650')]
-[2026-06-03 02:55:38,285][695648] Updated weights for policy 0, policy_version 41333 (0.0010)
-[2026-06-03 02:55:40,522][695648] Updated weights for policy 0, policy_version 41392 (0.0012)
-[2026-06-03 02:55:42,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.4, 300 sec: 13829.2). Total num frames: 21200896. Throughput: 0: 13880.9. Samples: 21186560. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:55:42,188][694701] Avg episode reward: [(0, '8933.950')]
-[2026-06-03 02:55:42,684][695648] Updated weights for policy 0, policy_version 41440 (0.0012)
-[2026-06-03 02:55:45,073][695648] Updated weights for policy 0, policy_version 41504 (0.0011)
-[2026-06-03 02:55:47,187][694701] Fps is (10 sec: 13107.4, 60 sec: 13653.3, 300 sec: 13773.7). Total num frames: 21266432. Throughput: 0: 13869.5. Samples: 21268992. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:55:47,188][694701] Avg episode reward: [(0, '9054.300')]
-[2026-06-03 02:55:47,516][695648] Updated weights for policy 0, policy_version 41569 (0.0010)
-[2026-06-03 02:55:49,542][695578] Signal inference workers to stop experience collection... (1950 times)
-[2026-06-03 02:55:49,569][695648] InferenceWorker_p0-w0: stopping experience collection (1950 times)
-[2026-06-03 02:55:49,676][695578] Signal inference workers to resume experience collection... (1950 times)
-[2026-06-03 02:55:49,677][695648] InferenceWorker_p0-w0: resuming experience collection (1950 times)
-[2026-06-03 02:55:49,912][695648] Updated weights for policy 0, policy_version 41648 (0.0012)
-[2026-06-03 02:55:52,187][694701] Fps is (10 sec: 15564.5, 60 sec: 14062.9, 300 sec: 13857.0). Total num frames: 21356544. Throughput: 0: 13994.6. Samples: 21356544. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:55:52,188][695648] Updated weights for policy 0, policy_version 41715 (0.0010)
-[2026-06-03 02:55:52,188][694701] Avg episode reward: [(0, '9071.800')]
-[2026-06-03 02:55:54,564][695648] Updated weights for policy 0, policy_version 41790 (0.0010)
-[2026-06-03 02:55:57,187][694701] Fps is (10 sec: 16384.1, 60 sec: 14199.5, 300 sec: 13884.8). Total num frames: 21430272. Throughput: 0: 13095.9. Samples: 21398528. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:55:57,188][694701] Avg episode reward: [(0, '8983.900')]
-[2026-06-03 02:55:58,909][695648] Updated weights for policy 0, policy_version 41858 (0.0010)
-[2026-06-03 02:56:01,335][695648] Updated weights for policy 0, policy_version 41936 (0.0010)
-[2026-06-03 02:56:01,764][695648] Updated weights for policy 0, policy_version 41984 (0.0009)
-[2026-06-03 02:56:02,187][694701] Fps is (10 sec: 13926.6, 60 sec: 14199.4, 300 sec: 13884.8). Total num frames: 21495808. Throughput: 0: 13949.1. Samples: 21479936. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
-[2026-06-03 02:56:02,188][694701] Avg episode reward: [(0, '9061.800')]
-[2026-06-03 02:56:05,950][695648] Updated weights for policy 0, policy_version 42050 (0.0011)
-[2026-06-03 02:56:07,187][694701] Fps is (10 sec: 13106.9, 60 sec: 14199.4, 300 sec: 13884.7). Total num frames: 21561344. Throughput: 0: 13858.2. Samples: 21563904. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
-[2026-06-03 02:56:07,190][694701] Avg episode reward: [(0, '9192.650')]
-[2026-06-03 02:56:08,532][695648] Updated weights for policy 0, policy_version 42144 (0.0014)
-[2026-06-03 02:56:10,619][695648] Updated weights for policy 0, policy_version 42177 (0.0014)
-[2026-06-03 02:56:11,243][695648] Updated weights for policy 0, policy_version 42240 (0.0011)
-[2026-06-03 02:56:12,187][694701] Fps is (10 sec: 13107.4, 60 sec: 14062.9, 300 sec: 13884.8). Total num frames: 21626880. Throughput: 0: 13869.5. Samples: 21604864. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
-[2026-06-03 02:56:12,188][694701] Avg episode reward: [(0, '9269.350')]
-[2026-06-03 02:56:12,191][695578] Saving new best policy, reward=9269.350!
-[2026-06-03 02:56:13,670][695648] Updated weights for policy 0, policy_version 42303 (0.0012)
-[2026-06-03 02:56:16,087][695648] Updated weights for policy 0, policy_version 42367 (0.0010)
-[2026-06-03 02:56:17,187][694701] Fps is (10 sec: 13107.1, 60 sec: 13653.3, 300 sec: 13857.0). Total num frames: 21692416. Throughput: 0: 13801.2. Samples: 21688832. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
-[2026-06-03 02:56:17,189][694701] Avg episode reward: [(0, '9425.500')]
-[2026-06-03 02:56:17,193][695578] Saving new best policy, reward=9425.500!
-[2026-06-03 02:56:18,591][695648] Updated weights for policy 0, policy_version 42432 (0.0010)
-[2026-06-03 02:56:22,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.4, 300 sec: 13801.4). Total num frames: 21757952. Throughput: 0: 13835.4. Samples: 21769728. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
-[2026-06-03 02:56:22,188][694701] Avg episode reward: [(0, '9383.100')]
-[2026-06-03 02:56:22,694][695648] Updated weights for policy 0, policy_version 42499 (0.0017)
-[2026-06-03 02:56:25,096][695648] Updated weights for policy 0, policy_version 42562 (0.0011)
-[2026-06-03 02:56:27,187][694701] Fps is (10 sec: 13107.5, 60 sec: 13653.3, 300 sec: 13773.7). Total num frames: 21823488. Throughput: 0: 13869.5. Samples: 21810688. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
-[2026-06-03 02:56:27,188][694701] Avg episode reward: [(0, '9443.600')]
-[2026-06-03 02:56:27,192][695578] Saving new best policy, reward=9443.600!
-[2026-06-03 02:56:27,520][695648] Updated weights for policy 0, policy_version 42626 (0.0012)
-[2026-06-03 02:56:27,719][695578] Signal inference workers to stop experience collection... (2000 times)
-[2026-06-03 02:56:27,750][695648] InferenceWorker_p0-w0: stopping experience collection (2000 times)
-[2026-06-03 02:56:27,853][695578] Signal inference workers to resume experience collection... (2000 times)
-[2026-06-03 02:56:27,853][695648] InferenceWorker_p0-w0: resuming experience collection (2000 times)
-[2026-06-03 02:56:29,796][695648] Updated weights for policy 0, policy_version 42690 (0.0011)
-[2026-06-03 02:56:30,499][695648] Updated weights for policy 0, policy_version 42752 (0.0014)
-[2026-06-03 02:56:32,187][694701] Fps is (10 sec: 13107.1, 60 sec: 13653.3, 300 sec: 13773.7). Total num frames: 21889024. Throughput: 0: 13846.7. Samples: 21892096. Policy #0 lag: (min: 4.0, avg: 9.0, max: 68.0)
-[2026-06-03 02:56:32,188][694701] Avg episode reward: [(0, '9477.400')]
-[2026-06-03 02:56:32,191][695578] Saving new best policy, reward=9477.400!
-[2026-06-03 02:56:32,952][695648] Updated weights for policy 0, policy_version 42816 (0.0011)
-[2026-06-03 02:56:35,329][695648] Updated weights for policy 0, policy_version 42880 (0.0014)
-[2026-06-03 02:56:37,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.4, 300 sec: 13773.7). Total num frames: 21954560. Throughput: 0: 13733.0. Samples: 21974528. Policy #0 lag: (min: 4.0, avg: 9.0, max: 68.0)
-[2026-06-03 02:56:37,188][694701] Avg episode reward: [(0, '9489.450')]
-[2026-06-03 02:56:37,335][695578] Saving new best policy, reward=9489.450!
-[2026-06-03 02:56:39,509][695648] Updated weights for policy 0, policy_version 42961 (0.0010)
-[2026-06-03 02:56:42,038][695648] Updated weights for policy 0, policy_version 43042 (0.0011)
-[2026-06-03 02:56:42,187][694701] Fps is (10 sec: 15564.8, 60 sec: 14062.9, 300 sec: 13857.0). Total num frames: 22044672. Throughput: 0: 13778.5. Samples: 22018560. Policy #0 lag: (min: 4.0, avg: 9.0, max: 68.0)
-[2026-06-03 02:56:42,188][694701] Avg episode reward: [(0, '9513.600')]
-[2026-06-03 02:56:42,276][695578] Saving new best policy, reward=9513.600!
-[2026-06-03 02:56:44,277][695648] Updated weights for policy 0, policy_version 43104 (0.0010)
-[2026-06-03 02:56:46,607][695648] Updated weights for policy 0, policy_version 43170 (0.0012)
-[2026-06-03 02:56:47,187][694701] Fps is (10 sec: 16383.9, 60 sec: 14199.4, 300 sec: 13884.7). Total num frames: 22118400. Throughput: 0: 13778.5. Samples: 22099968. Policy #0 lag: (min: 4.0, avg: 9.0, max: 68.0)
-[2026-06-03 02:56:47,188][694701] Avg episode reward: [(0, '9671.550')]
-[2026-06-03 02:56:47,192][695578] Saving new best policy, reward=9671.550!
-[2026-06-03 02:56:48,810][695648] Updated weights for policy 0, policy_version 43234 (0.0011)
-[2026-06-03 02:56:51,049][695648] Updated weights for policy 0, policy_version 43297 (0.0009)
-[2026-06-03 02:56:52,187][694701] Fps is (10 sec: 13926.4, 60 sec: 13789.9, 300 sec: 13884.7). Total num frames: 22183936. Throughput: 0: 13869.5. Samples: 22188032. Policy #0 lag: (min: 4.0, avg: 9.0, max: 68.0)
-[2026-06-03 02:56:52,188][694701] Avg episode reward: [(0, '9481.250')]
-[2026-06-03 02:56:53,570][695648] Updated weights for policy 0, policy_version 43377 (0.0013)
-[2026-06-03 02:56:55,792][695648] Updated weights for policy 0, policy_version 43440 (0.0013)
-[2026-06-03 02:56:57,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 13884.7). Total num frames: 22249472. Throughput: 0: 13892.2. Samples: 22230016. Policy #0 lag: (min: 4.0, avg: 9.0, max: 68.0)
-[2026-06-03 02:56:57,189][694701] Avg episode reward: [(0, '9129.700')]
-[2026-06-03 02:56:58,278][695648] Updated weights for policy 0, policy_version 43505 (0.0011)
-[2026-06-03 02:57:00,650][695648] Updated weights for policy 0, policy_version 43568 (0.0011)
-[2026-06-03 02:57:02,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 13829.2). Total num frames: 22315008. Throughput: 0: 13892.3. Samples: 22313984. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:57:02,188][694701] Avg episode reward: [(0, '9124.000')]
-[2026-06-03 02:57:03,006][695648] Updated weights for policy 0, policy_version 43632 (0.0013)
-[2026-06-03 02:57:05,409][695648] Updated weights for policy 0, policy_version 43696 (0.0011)
-[2026-06-03 02:57:07,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13653.4, 300 sec: 13801.4). Total num frames: 22380544. Throughput: 0: 13960.5. Samples: 22397952. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:57:07,188][694701] Avg episode reward: [(0, '9502.300')]
-[2026-06-03 02:57:07,317][695578] Signal inference workers to stop experience collection... (2050 times)
-[2026-06-03 02:57:07,345][695648] InferenceWorker_p0-w0: stopping experience collection (2050 times)
-[2026-06-03 02:57:07,445][695578] Signal inference workers to resume experience collection... (2050 times)
-[2026-06-03 02:57:07,446][695648] InferenceWorker_p0-w0: resuming experience collection (2050 times)
-[2026-06-03 02:57:07,499][695648] Updated weights for policy 0, policy_version 43747 (0.0010)
-[2026-06-03 02:57:09,760][695648] Updated weights for policy 0, policy_version 43808 (0.0011)
-[2026-06-03 02:57:12,187][694701] Fps is (10 sec: 14745.6, 60 sec: 13926.4, 300 sec: 13829.2). Total num frames: 22462464. Throughput: 0: 14017.4. Samples: 22441472. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:57:12,188][694701] Avg episode reward: [(0, '9687.250')]
-[2026-06-03 02:57:12,199][695648] Updated weights for policy 0, policy_version 43874 (0.0011)
-[2026-06-03 02:57:12,480][695578] Saving new best policy, reward=9687.250!
-[2026-06-03 02:57:14,469][695648] Updated weights for policy 0, policy_version 43936 (0.0013)
-[2026-06-03 02:57:16,785][695648] Updated weights for policy 0, policy_version 43986 (0.0011)
-[2026-06-03 02:57:17,187][694701] Fps is (10 sec: 16383.8, 60 sec: 14199.5, 300 sec: 13884.7). Total num frames: 22544384. Throughput: 0: 14017.4. Samples: 22522880. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:57:17,189][694701] Avg episode reward: [(0, '9796.700')]
-[2026-06-03 02:57:17,192][695578] Saving new best policy, reward=9796.700!
-[2026-06-03 02:57:19,159][695648] Updated weights for policy 0, policy_version 44050 (0.0010)
-[2026-06-03 02:57:21,344][695648] Updated weights for policy 0, policy_version 44098 (0.0010)
-[2026-06-03 02:57:21,937][695648] Updated weights for policy 0, policy_version 44158 (0.0011)
-[2026-06-03 02:57:22,187][694701] Fps is (10 sec: 14745.5, 60 sec: 14199.4, 300 sec: 13884.7). Total num frames: 22609920. Throughput: 0: 14097.1. Samples: 22608896. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0)
-[2026-06-03 02:57:22,189][694701] Avg episode reward: [(0, '9958.450')]
-[2026-06-03 02:57:22,198][695578] Saving new best policy, reward=9958.450!
-[2026-06-03 02:57:24,340][695648] Updated weights for policy 0, policy_version 44220 (0.0012)
-[2026-06-03 02:57:26,845][695648] Updated weights for policy 0, policy_version 44288 (0.0012)
-[2026-06-03 02:57:27,187][694701] Fps is (10 sec: 13107.1, 60 sec: 14199.4, 300 sec: 13884.8). Total num frames: 22675456. Throughput: 0: 13960.5. Samples: 22646784. Policy #0 lag: (min: 14.0, avg: 20.0, max: 78.0)
-[2026-06-03 02:57:27,189][694701] Avg episode reward: [(0, '9823.400')]
-[2026-06-03 02:57:31,046][695648] Updated weights for policy 0, policy_version 44355 (0.0013)
-[2026-06-03 02:57:31,706][695648] Updated weights for policy 0, policy_version 44414 (0.0013)
-[2026-06-03 02:57:32,187][694701] Fps is (10 sec: 13107.1, 60 sec: 14199.4, 300 sec: 13884.7). Total num frames: 22740992. Throughput: 0: 13937.8. Samples: 22727168. Policy #0 lag: (min: 14.0, avg: 20.0, max: 78.0)
-[2026-06-03 02:57:32,189][694701] Avg episode reward: [(0, '9559.900')]
-[2026-06-03 02:57:36,061][695648] Updated weights for policy 0, policy_version 44482 (0.0010)
-[2026-06-03 02:57:37,187][694701] Fps is (10 sec: 13107.3, 60 sec: 14199.5, 300 sec: 13884.7). Total num frames: 22806528. Throughput: 0: 13789.8. Samples: 22808576. Policy #0 lag: (min: 14.0, avg: 20.0, max: 78.0)
-[2026-06-03 02:57:37,188][694701] Avg episode reward: [(0, '9673.600')]
-[2026-06-03 02:57:38,534][695648] Updated weights for policy 0, policy_version 44560 (0.0011)
-[2026-06-03 02:57:40,854][695648] Updated weights for policy 0, policy_version 44610 (0.0010)
-[2026-06-03 02:57:41,476][695648] Updated weights for policy 0, policy_version 44672 (0.0012)
-[2026-06-03 02:57:42,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13789.9, 300 sec: 13884.7). Total num frames: 22872064. Throughput: 0: 13721.6. Samples: 22847488. Policy #0 lag: (min: 14.0, avg: 20.0, max: 78.0)
-[2026-06-03 02:57:42,189][694701] Avg episode reward: [(0, '9730.900')]
-[2026-06-03 02:57:43,910][695648] Updated weights for policy 0, policy_version 44736 (0.0014)
-[2026-06-03 02:57:46,284][695648] Updated weights for policy 0, policy_version 44800 (0.0012)
-[2026-06-03 02:57:47,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 13884.8). Total num frames: 22937600. Throughput: 0: 13733.0. Samples: 22931968. Policy #0 lag: (min: 14.0, avg: 20.0, max: 78.0)
-[2026-06-03 02:57:47,188][694701] Avg episode reward: [(0, '9884.100')]
-[2026-06-03 02:57:48,282][695578] Signal inference workers to stop experience collection... (2100 times)
-[2026-06-03 02:57:48,311][695648] InferenceWorker_p0-w0: stopping experience collection (2100 times)
-[2026-06-03 02:57:48,428][695578] Signal inference workers to resume experience collection... (2100 times)
-[2026-06-03 02:57:48,430][695648] InferenceWorker_p0-w0: resuming experience collection (2100 times)
-[2026-06-03 02:57:51,030][695648] Updated weights for policy 0, policy_version 44883 (0.0013)
-[2026-06-03 02:57:52,188][694701] Fps is (10 sec: 13106.5, 60 sec: 13653.2, 300 sec: 13856.9). Total num frames: 23003136. Throughput: 0: 13516.6. Samples: 23006208. Policy #0 lag: (min: 14.0, avg: 20.0, max: 78.0)
-[2026-06-03 02:57:52,189][694701] Avg episode reward: [(0, '9976.450')]
-[2026-06-03 02:57:52,193][695578] Saving new best policy, reward=9976.450!
-[2026-06-03 02:57:53,263][695648] Updated weights for policy 0, policy_version 44929 (0.0010)
-[2026-06-03 02:57:53,840][695648] Updated weights for policy 0, policy_version 44989 (0.0012)
-[2026-06-03 02:57:56,133][695648] Updated weights for policy 0, policy_version 45048 (0.0012)
-[2026-06-03 02:57:57,187][694701] Fps is (10 sec: 13107.1, 60 sec: 13653.3, 300 sec: 13801.4). Total num frames: 23068672. Throughput: 0: 13482.6. Samples: 23048192. Policy #0 lag: (min: 10.0, avg: 15.4, max: 74.0)
-[2026-06-03 02:57:57,189][694701] Avg episode reward: [(0, '10288.100')]
-[2026-06-03 02:57:57,194][695578] Saving new best policy, reward=10288.100!
-[2026-06-03 02:57:58,463][695648] Updated weights for policy 0, policy_version 45106 (0.0011)
-[2026-06-03 02:58:00,726][695648] Updated weights for policy 0, policy_version 45170 (0.0011)
-[2026-06-03 02:58:02,187][694701] Fps is (10 sec: 13107.8, 60 sec: 13653.3, 300 sec: 13773.7). Total num frames: 23134208. Throughput: 0: 13573.7. Samples: 23133696. Policy #0 lag: (min: 10.0, avg: 15.4, max: 74.0)
-[2026-06-03 02:58:02,188][694701] Avg episode reward: [(0, '10325.700')]
-[2026-06-03 02:58:02,193][695578] Saving new best policy, reward=10325.700!
-[2026-06-03 02:58:03,068][695648] Updated weights for policy 0, policy_version 45232 (0.0012)
-[2026-06-03 02:58:05,522][695648] Updated weights for policy 0, policy_version 45301 (0.0013)
-[2026-06-03 02:58:07,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13653.3, 300 sec: 13773.7). Total num frames: 23199744. Throughput: 0: 13448.5. Samples: 23214080. Policy #0 lag: (min: 10.0, avg: 15.4, max: 74.0)
-[2026-06-03 02:58:07,188][694701] Avg episode reward: [(0, '10245.300')]
-[2026-06-03 02:58:07,904][695648] Updated weights for policy 0, policy_version 45364 (0.0010)
-[2026-06-03 02:58:10,338][695648] Updated weights for policy 0, policy_version 45431 (0.0010)
-[2026-06-03 02:58:12,187][694701] Fps is (10 sec: 13107.4, 60 sec: 13380.3, 300 sec: 13773.7). Total num frames: 23265280. Throughput: 0: 14484.0. Samples: 23298560. Policy #0 lag: (min: 10.0, avg: 15.4, max: 74.0)
-[2026-06-03 02:58:12,188][694701] Avg episode reward: [(0, '10024.500')]
-[2026-06-03 02:58:12,667][695648] Updated weights for policy 0, policy_version 45494 (0.0011)
-[2026-06-03 02:58:15,101][695648] Updated weights for policy 0, policy_version 45556 (0.0010)
-[2026-06-03 02:58:17,187][694701] Fps is (10 sec: 13926.4, 60 sec: 13243.7, 300 sec: 13801.4). Total num frames: 23339008. Throughput: 0: 13550.9. Samples: 23336960. Policy #0 lag: (min: 10.0, avg: 15.4, max: 74.0)
-[2026-06-03 02:58:17,188][694701] Avg episode reward: [(0, '10181.850')]
-[2026-06-03 02:58:17,398][695648] Updated weights for policy 0, policy_version 45620 (0.0010)
-[2026-06-03 02:58:19,830][695648] Updated weights for policy 0, policy_version 45685 (0.0012)
-[2026-06-03 02:58:22,106][695648] Updated weights for policy 0, policy_version 45752 (0.0014)
-[2026-06-03 02:58:22,187][694701] Fps is (10 sec: 16384.1, 60 sec: 13653.4, 300 sec: 13884.8). Total num frames: 23429120. Throughput: 0: 13642.0. Samples: 23422464. Policy #0 lag: (min: 10.0, avg: 15.4, max: 74.0)
-[2026-06-03 02:58:22,188][694701] Avg episode reward: [(0, '10192.700')]
-[2026-06-03 02:58:24,482][695648] Updated weights for policy 0, policy_version 45808 (0.0014)
-[2026-06-03 02:58:26,651][695578] Signal inference workers to stop experience collection... (2150 times)
-[2026-06-03 02:58:26,684][695648] InferenceWorker_p0-w0: stopping experience collection (2150 times)
-[2026-06-03 02:58:26,778][695578] Signal inference workers to resume experience collection... (2150 times)
-[2026-06-03 02:58:26,779][695648] InferenceWorker_p0-w0: resuming experience collection (2150 times)
-[2026-06-03 02:58:26,783][695648] Updated weights for policy 0, policy_version 45872 (0.0018)
-[2026-06-03 02:58:27,187][694701] Fps is (10 sec: 15564.9, 60 sec: 13653.4, 300 sec: 13884.8). Total num frames: 23494656. Throughput: 0: 14563.6. Samples: 23502848. Policy #0 lag: (min: 47.0, avg: 52.1, max: 111.0)
-[2026-06-03 02:58:27,189][694701] Avg episode reward: [(0, '10214.450')]
-[2026-06-03 02:58:29,068][695648] Updated weights for policy 0, policy_version 45923 (0.0015)
-[2026-06-03 02:58:31,428][695648] Updated weights for policy 0, policy_version 45986 (0.0013)
-[2026-06-03 02:58:32,187][694701] Fps is (10 sec: 13107.0, 60 sec: 13653.3, 300 sec: 13829.2). Total num frames: 23560192. Throughput: 0: 13676.1. Samples: 23547392. Policy #0 lag: (min: 47.0, avg: 52.1, max: 111.0)
-[2026-06-03 02:58:32,188][694701] Avg episode reward: [(0, '10240.550')]
-[2026-06-03 02:58:33,919][695648] Updated weights for policy 0, policy_version 46050 (0.0013)
-[2026-06-03 02:58:36,330][695648] Updated weights for policy 0, policy_version 46114 (0.0011)
-[2026-06-03 02:58:37,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13653.4, 300 sec: 13773.7). Total num frames: 23625728. Throughput: 0: 13812.8. Samples: 23627776. Policy #0 lag: (min: 47.0, avg: 52.1, max: 111.0)
-[2026-06-03 02:58:37,188][694701] Avg episode reward: [(0, '9926.550')]
-[2026-06-03 02:58:38,690][695648] Updated weights for policy 0, policy_version 46176 (0.0012)
-[2026-06-03 02:58:40,865][695648] Updated weights for policy 0, policy_version 46224 (0.0014)
-[2026-06-03 02:58:42,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13653.3, 300 sec: 13773.7). Total num frames: 23691264. Throughput: 0: 13767.1. Samples: 23667712. Policy #0 lag: (min: 47.0, avg: 52.1, max: 111.0)
-[2026-06-03 02:58:42,188][694701] Avg episode reward: [(0, '9725.800')]
-[2026-06-03 02:58:43,123][695648] Updated weights for policy 0, policy_version 46288 (0.0014)
-[2026-06-03 02:58:45,325][695648] Updated weights for policy 0, policy_version 46352 (0.0011)
-[2026-06-03 02:58:47,187][694701] Fps is (10 sec: 13107.0, 60 sec: 13653.3, 300 sec: 13773.7). Total num frames: 23756800. Throughput: 0: 13858.1. Samples: 23757312. Policy #0 lag: (min: 47.0, avg: 52.1, max: 111.0)
-[2026-06-03 02:58:47,188][694701] Avg episode reward: [(0, '9974.400')]
-[2026-06-03 02:58:48,087][695648] Updated weights for policy 0, policy_version 46432 (0.0011)
-[2026-06-03 02:58:50,534][695648] Updated weights for policy 0, policy_version 46496 (0.0012)
-[2026-06-03 02:58:52,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.5, 300 sec: 13773.7). Total num frames: 23822336. Throughput: 0: 13801.3. Samples: 23835136. Policy #0 lag: (min: 47.0, avg: 52.1, max: 111.0)
-[2026-06-03 02:58:52,188][694701] Avg episode reward: [(0, '9868.350')]
-[2026-06-03 02:58:53,080][695648] Updated weights for policy 0, policy_version 46578 (0.0012)
-[2026-06-03 02:58:55,375][695648] Updated weights for policy 0, policy_version 46643 (0.0013)
-[2026-06-03 02:58:57,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.4, 300 sec: 13773.7). Total num frames: 23887872. Throughput: 0: 12845.5. Samples: 23876608. Policy #0 lag: (min: 10.0, avg: 15.5, max: 74.0)
-[2026-06-03 02:58:57,188][694701] Avg episode reward: [(0, '9990.200')]
-[2026-06-03 02:58:57,794][695648] Updated weights for policy 0, policy_version 46716 (0.0011)
-[2026-06-03 02:59:00,111][695648] Updated weights for policy 0, policy_version 46774 (0.0014)
-[2026-06-03 02:59:02,187][694701] Fps is (10 sec: 14745.6, 60 sec: 13926.4, 300 sec: 13829.2). Total num frames: 23969792. Throughput: 0: 13846.8. Samples: 23960064. Policy #0 lag: (min: 10.0, avg: 15.5, max: 74.0)
-[2026-06-03 02:59:02,188][694701] Avg episode reward: [(0, '10144.650')]
-[2026-06-03 02:59:02,332][695648] Updated weights for policy 0, policy_version 46840 (0.0015)
-[2026-06-03 02:59:04,700][695648] Updated weights for policy 0, policy_version 46901 (0.0013)
-[2026-06-03 02:59:06,754][695578] Signal inference workers to stop experience collection... (2200 times)
-[2026-06-03 02:59:06,785][695648] InferenceWorker_p0-w0: stopping experience collection (2200 times)
-[2026-06-03 02:59:06,878][695578] Signal inference workers to resume experience collection... (2200 times)
-[2026-06-03 02:59:06,878][695648] InferenceWorker_p0-w0: resuming experience collection (2200 times)
-[2026-06-03 02:59:07,112][695648] Updated weights for policy 0, policy_version 46966 (0.0013)
-[2026-06-03 02:59:07,187][694701] Fps is (10 sec: 15564.9, 60 sec: 14062.9, 300 sec: 13857.0). Total num frames: 24043520. Throughput: 0: 13846.7. Samples: 24045568. Policy #0 lag: (min: 10.0, avg: 15.5, max: 74.0)
-[2026-06-03 02:59:07,188][694701] Avg episode reward: [(0, '10511.700')]
-[2026-06-03 02:59:07,205][695578] Saving new best policy, reward=10511.700!
-[2026-06-03 02:59:09,457][695648] Updated weights for policy 0, policy_version 47029 (0.0011)
-[2026-06-03 02:59:11,958][695648] Updated weights for policy 0, policy_version 47091 (0.0011)
-[2026-06-03 02:59:12,187][694701] Fps is (10 sec: 14745.4, 60 sec: 14199.4, 300 sec: 13884.7). Total num frames: 24117248. Throughput: 0: 12970.6. Samples: 24086528. Policy #0 lag: (min: 10.0, avg: 15.5, max: 74.0)
-[2026-06-03 02:59:12,192][694701] Avg episode reward: [(0, '10750.050')]
-[2026-06-03 02:59:12,197][695578] Saving new best policy, reward=10750.050!
-[2026-06-03 02:59:14,312][695648] Updated weights for policy 0, policy_version 47154 (0.0011)
-[2026-06-03 02:59:16,590][695648] Updated weights for policy 0, policy_version 47216 (0.0012)
-[2026-06-03 02:59:17,187][694701] Fps is (10 sec: 13926.4, 60 sec: 14062.9, 300 sec: 13884.8). Total num frames: 24182784. Throughput: 0: 13767.1. Samples: 24166912. Policy #0 lag: (min: 10.0, avg: 15.5, max: 74.0)
-[2026-06-03 02:59:17,188][694701] Avg episode reward: [(0, '10645.950')]
-[2026-06-03 02:59:18,884][695648] Updated weights for policy 0, policy_version 47266 (0.0009)
-[2026-06-03 02:59:21,437][695648] Updated weights for policy 0, policy_version 47346 (0.0011)
-[2026-06-03 02:59:22,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 13884.7). Total num frames: 24248320. Throughput: 0: 13835.3. Samples: 24250368. Policy #0 lag: (min: 10.0, avg: 15.5, max: 74.0)
-[2026-06-03 02:59:22,190][694701] Avg episode reward: [(0, '10725.250')]
-[2026-06-03 02:59:23,885][695648] Updated weights for policy 0, policy_version 47408 (0.0013)
-[2026-06-03 02:59:26,172][695648] Updated weights for policy 0, policy_version 47457 (0.0010)
-[2026-06-03 02:59:27,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 13857.0). Total num frames: 24313856. Throughput: 0: 13812.6. Samples: 24289280. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:59:27,188][694701] Avg episode reward: [(0, '10995.850')]
-[2026-06-03 02:59:27,193][695578] Saving new best policy, reward=10995.850!
-[2026-06-03 02:59:28,508][695648] Updated weights for policy 0, policy_version 47522 (0.0014)
-[2026-06-03 02:59:30,673][695648] Updated weights for policy 0, policy_version 47585 (0.0015)
-[2026-06-03 02:59:32,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 13801.4). Total num frames: 24379392. Throughput: 0: 13778.4. Samples: 24377344. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:59:32,188][694701] Avg episode reward: [(0, '11189.200')]
-[2026-06-03 02:59:32,193][695578] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed14/checkpoint_p0/checkpoint_000047616_24379392.pth...
-[2026-06-03 02:59:32,225][695578] Saving new best policy, reward=11189.200!
-[2026-06-03 02:59:32,997][695648] Updated weights for policy 0, policy_version 47667 (0.0011)
-[2026-06-03 02:59:35,403][695648] Updated weights for policy 0, policy_version 47736 (0.0010)
-[2026-06-03 02:59:37,187][694701] Fps is (10 sec: 13107.3, 60 sec: 13653.3, 300 sec: 13773.7). Total num frames: 24444928. Throughput: 0: 13915.0. Samples: 24461312. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:59:37,188][694701] Avg episode reward: [(0, '10781.100')]
-[2026-06-03 02:59:37,835][695648] Updated weights for policy 0, policy_version 47797 (0.0012)
-[2026-06-03 02:59:40,076][695648] Updated weights for policy 0, policy_version 47856 (0.0012)
-[2026-06-03 02:59:42,155][695648] Updated weights for policy 0, policy_version 47904 (0.0014)
-[2026-06-03 02:59:42,187][694701] Fps is (10 sec: 14745.9, 60 sec: 13926.4, 300 sec: 13829.2). Total num frames: 24526848. Throughput: 0: 13949.2. Samples: 24504320. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:59:42,188][694701] Avg episode reward: [(0, '10924.100')]
-[2026-06-03 02:59:44,509][695648] Updated weights for policy 0, policy_version 47968 (0.0012)
-[2026-06-03 02:59:46,489][695578] Signal inference workers to stop experience collection... (2250 times)
-[2026-06-03 02:59:46,540][695648] InferenceWorker_p0-w0: stopping experience collection (2250 times)
-[2026-06-03 02:59:46,646][695578] Signal inference workers to resume experience collection... (2250 times)
-[2026-06-03 02:59:46,648][695648] InferenceWorker_p0-w0: resuming experience collection (2250 times)
-[2026-06-03 02:59:46,650][695648] Updated weights for policy 0, policy_version 48016 (0.0013)
-[2026-06-03 02:59:47,187][694701] Fps is (10 sec: 16383.9, 60 sec: 14199.5, 300 sec: 13884.7). Total num frames: 24608768. Throughput: 0: 13960.5. Samples: 24588288. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:59:47,188][694701] Avg episode reward: [(0, '10842.400')]
-[2026-06-03 02:59:48,982][695648] Updated weights for policy 0, policy_version 48080 (0.0012)
-[2026-06-03 02:59:51,236][695648] Updated weights for policy 0, policy_version 48130 (0.0011)
-[2026-06-03 02:59:51,792][695648] Updated weights for policy 0, policy_version 48189 (0.0010)
-[2026-06-03 02:59:52,187][694701] Fps is (10 sec: 14745.6, 60 sec: 14199.5, 300 sec: 13884.7). Total num frames: 24674304. Throughput: 0: 13983.3. Samples: 24674816. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0)
-[2026-06-03 02:59:52,188][694701] Avg episode reward: [(0, '10644.250')]
-[2026-06-03 02:59:56,024][695648] Updated weights for policy 0, policy_version 48272 (0.0010)
-[2026-06-03 02:59:56,512][695648] Updated weights for policy 0, policy_version 48320 (0.0011)
-[2026-06-03 02:59:57,187][694701] Fps is (10 sec: 13107.3, 60 sec: 14199.5, 300 sec: 13884.7). Total num frames: 24739840. Throughput: 0: 13903.7. Samples: 24712192. Policy #0 lag: (min: 22.0, avg: 27.1, max: 86.0)
-[2026-06-03 02:59:57,188][694701] Avg episode reward: [(0, '10741.000')]
-[2026-06-03 02:59:58,922][695648] Updated weights for policy 0, policy_version 48384 (0.0011)
-[2026-06-03 03:00:01,259][695648] Updated weights for policy 0, policy_version 48447 (0.0012)
-[2026-06-03 03:00:02,187][694701] Fps is (10 sec: 13107.0, 60 sec: 13926.4, 300 sec: 13884.7). Total num frames: 24805376. Throughput: 0: 14028.8. Samples: 24798208. Policy #0 lag: (min: 22.0, avg: 27.1, max: 86.0)
-[2026-06-03 03:00:02,188][694701] Avg episode reward: [(0, '10722.900')]
-[2026-06-03 03:00:03,516][695648] Updated weights for policy 0, policy_version 48512 (0.0010)
-[2026-06-03 03:00:05,983][695648] Updated weights for policy 0, policy_version 48571 (0.0010)
-[2026-06-03 03:00:07,187][694701] Fps is (10 sec: 13107.2, 60 sec: 13789.9, 300 sec: 13857.0). Total num frames: 24870912. Throughput: 0: 13994.7. Samples: 24880128. Policy #0 lag: (min: 22.0, avg: 27.1, max: 86.0)
-[2026-06-03 03:00:07,188][694701] Avg episode reward: [(0, '11163.750')]
-[2026-06-03 03:00:08,236][695648] Updated weights for policy 0, policy_version 48625 (0.0010)
-[2026-06-03 03:00:10,639][695648] Updated weights for policy 0, policy_version 48690 (0.0012)
-[2026-06-03 03:00:12,187][694701] Fps is (10 sec: 13107.4, 60 sec: 13653.4, 300 sec: 13773.7). Total num frames: 24936448. Throughput: 0: 14051.6. Samples: 24921600. Policy #0 lag: (min: 22.0, avg: 27.1, max: 86.0)
-[2026-06-03 03:00:12,188][694701] Avg episode reward: [(0, '10861.100')]
-[2026-06-03 03:00:12,931][695648] Updated weights for policy 0, policy_version 48752 (0.0014)
-[2026-06-03 03:00:15,254][695648] Updated weights for policy 0, policy_version 48816 (0.0012)
-[2026-06-03 03:00:17,187][694701] Fps is (10 sec: 13107.1, 60 sec: 13653.3, 300 sec: 13773.7). Total num frames: 25001984. Throughput: 0: 13960.6. Samples: 25005568. Policy #0 lag: (min: 22.0, avg: 27.1, max: 86.0)
-[2026-06-03 03:00:17,189][694701] Avg episode reward: [(0, '10905.050')]
-[2026-06-03 03:00:17,285][695578] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000
-[2026-06-03 03:00:17,288][695578] Stopping Batcher_0...
-[2026-06-03 03:00:17,288][695578] Loop batcher_evt_loop terminating...
-[2026-06-03 03:00:17,288][694701] Component RolloutWorker_w0 stopped!
-[2026-06-03 03:00:17,289][694701] Component Batcher_0 stopped!
-[2026-06-03 03:00:17,288][695649] Stopping RolloutWorker_w0...
-[2026-06-03 03:00:17,291][695649] Loop rollout_proc0_evt_loop terminating...
-[2026-06-03 03:00:17,343][695648] Weights refcount: 2 0
-[2026-06-03 03:00:17,345][695648] Stopping InferenceWorker_p0-w0...
-[2026-06-03 03:00:17,345][695648] Loop inference_proc0-0_evt_loop terminating...
-[2026-06-03 03:00:17,345][694701] Component InferenceWorker_p0-w0 stopped!
-[2026-06-03 03:00:17,404][695578] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000
-[2026-06-03 03:00:17,405][695578] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed14/checkpoint_p0/checkpoint_000048864_25018368.pth...
-[2026-06-03 03:00:17,549][695578] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000
-[2026-06-03 03:00:17,551][695578] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed14/checkpoint_p0/checkpoint_000048880_25026560.pth...
-[2026-06-03 03:00:17,575][695578] Stopping LearnerWorker_p0...
-[2026-06-03 03:00:17,575][695578] Loop learner_proc0_evt_loop terminating...
-[2026-06-03 03:00:17,575][694701] Component LearnerWorker_p0 stopped!
-[2026-06-03 03:00:17,576][694701] Waiting for process learner_proc0 to stop...
-[2026-06-03 03:00:19,511][694701] Waiting for process inference_proc0-0 to join...
-[2026-06-03 03:00:19,512][694701] Waiting for process rollout_proc0 to join...
-[2026-06-03 03:00:19,513][694701] Batcher 0 profile tree view:
-batching: 1.5804, releasing_batches: 1.9456
-[2026-06-03 03:00:19,514][694701] InferenceWorker_p0-w0 profile tree view:
-wait_policy: 0.0018
-  wait_policy_total: 1497.4369
-update_model: 11.7214
-  weight_update: 0.0013
-one_step: 0.0034
-  handle_policy_step: 126.6563
-    deserialize: 2.7900, stack: 0.1235, obs_to_device_normalize: 27.3378, forward: 67.2111, prepare_outputs: 18.2302, send_messages: 4.1799
-[2026-06-03 03:00:19,514][694701] Learner 0 profile tree view:
-misc: 0.0142, prepare_batch: 53.7298
-train: 381.7575
-  epoch_init: 0.0842, minibatch_init: 3.9284, losses_postprocess: 69.9014, kl_divergence: 67.6958, update: 149.0469, after_optimizer: 26.0601
-  calculate_losses: 60.4241
-    losses_init: 0.1204, forward_head: 20.0825, bptt_initial: 0.5437, bptt: 0.6019, tail: 14.0885, advantages_returns: 4.4191, losses: 16.3065
-[2026-06-03 03:00:19,515][694701] RolloutWorker_w0 profile tree view:
-wait_for_trajectories: 0.0543, enqueue_policy_requests: 11.1401, process_policy_outputs: 6.3380, env_step: 1541.0156, finalize_trajectories: 0.1247, complete_rollouts: 0.1266
-post_env_step: 18.1311
-  process_env_step: 6.2485
-[2026-06-03 03:00:19,516][694701] Loop Runner_EvtLoop terminating...
-[2026-06-03 03:00:19,516][694701] Runner profile tree view:
-main_loop: 1843.3299
-[2026-06-03 03:00:19,517][694701] Collected {0: 25026560}, FPS: 13576.8
+[2026-06-04 14:43:28,278][649901] Using optimizer <class 'torch.optim.adam.Adam'>
+[2026-06-04 14:43:29,037][649901] No checkpoints found
+[2026-06-04 14:43:29,037][649901] Did not load from checkpoint, starting from scratch!
+[2026-06-04 14:43:29,037][649901] Initialized policy 0 weights for model version 0
+[2026-06-04 14:43:29,043][649901] LearnerWorker_p0 finished initialization!
+[2026-06-04 14:43:29,043][649901] Using GPUs [0] for process 0 (actually maps to GPUs [4])
+[2026-06-04 14:43:29,416][649980] Worker 0 uses CPU cores [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383]
+[2026-06-04 14:43:29,416][649980] Using GPUs [0] for process 0 (actually maps to GPUs [4])
+[2026-06-04 14:43:29,416][649980] Set environment var CUDA_VISIBLE_DEVICES to '4' (GPU indices [0]) for actor process 0
+[2026-06-04 14:43:29,417][649980] Num visible devices: 1
+[2026-06-04 14:43:29,425][649981] Using GPUs [0] for process 0 (actually maps to GPUs [4])
+[2026-06-04 14:43:29,425][649981] Set environment var CUDA_VISIBLE_DEVICES to '4' (GPU indices [0]) for inference process 0
+[2026-06-04 14:43:29,425][649981] Num visible devices: 1
+[2026-06-04 14:43:29,426][649981] RunningMeanStd input shape: (4, 84, 84)
+[2026-06-04 14:43:29,455][649981] RunningMeanStd input shape: (1,)
+[2026-06-04 14:43:29,462][649981] ConvEncoder: input_channels=4
+[2026-06-04 14:43:29,523][649981] Conv encoder output size: 512
+[2026-06-04 14:43:29,527][648971] Inference worker 0-0 is ready!
+[2026-06-04 14:43:29,527][648971] All inference workers are ready! Signal rollout workers to start!
+[2026-06-04 14:43:29,528][649980] EnvRunner 0-0 uses policy 0
+[2026-06-04 14:43:32,506][648971] Fps is (10 sec: nan, 60 sec: nan, 300 sec: nan). Total num frames: 0. Throughput: 0: nan. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
+[2026-06-04 14:43:33,340][649901] Signal inference workers to stop experience collection...
+[2026-06-04 14:43:33,367][649981] InferenceWorker_p0-w0: stopping experience collection
+[2026-06-04 14:43:34,528][649901] Signal inference workers to resume experience collection...
+[2026-06-04 14:43:34,529][649981] InferenceWorker_p0-w0: resuming experience collection
+[2026-06-04 14:43:37,506][648971] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6553.6). Total num frames: 32768. Throughput: 0: 8601.6. Samples: 43008. Policy #0 lag: (min: 15.0, avg: 15.0, max: 15.0)
+[2026-06-04 14:43:38,102][649981] Updated weights for policy 0, policy_version 116 (0.0035)
+[2026-06-04 14:43:42,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9830.4). Total num frames: 98304. Throughput: 0: 9932.8. Samples: 99328. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0)
+[2026-06-04 14:43:42,507][648971] Avg episode reward: [(0, '41.724')]
+[2026-06-04 14:43:45,195][649981] Updated weights for policy 0, policy_version 224 (0.0011)
+[2026-06-04 14:43:46,591][648971] Heartbeat connected on Batcher_0
+[2026-06-04 14:43:46,595][648971] Heartbeat connected on LearnerWorker_p0
+[2026-06-04 14:43:46,643][648971] Heartbeat connected on RolloutWorker_w0
+[2026-06-04 14:43:46,645][648971] Heartbeat connected on InferenceWorker_p0-w0
+[2026-06-04 14:43:47,506][648971] Fps is (10 sec: 9830.4, 60 sec: 8738.2, 300 sec: 8738.2). Total num frames: 131072. Throughput: 0: 8533.4. Samples: 128000. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0)
+[2026-06-04 14:43:47,507][648971] Avg episode reward: [(0, '58.889')]
+[2026-06-04 14:43:47,509][649901] Saving new best policy, reward=58.889!
+[2026-06-04 14:43:49,152][649981] Updated weights for policy 0, policy_version 317 (0.0011)
+[2026-06-04 14:43:52,506][648971] Fps is (10 sec: 7372.7, 60 sec: 8601.6, 300 sec: 8601.6). Total num frames: 172032. Throughput: 0: 9011.2. Samples: 180224. Policy #0 lag: (min: 9.0, avg: 11.7, max: 73.0)
+[2026-06-04 14:43:52,507][648971] Avg episode reward: [(0, '77.600')]
+[2026-06-04 14:43:52,719][649901] Saving new best policy, reward=77.600!
+[2026-06-04 14:43:56,627][649981] Updated weights for policy 0, policy_version 416 (0.0007)
+[2026-06-04 14:43:57,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9175.0, 300 sec: 9175.0). Total num frames: 229376. Throughput: 0: 9216.0. Samples: 230400. Policy #0 lag: (min: 13.0, avg: 15.8, max: 77.0)
+[2026-06-04 14:43:57,507][648971] Avg episode reward: [(0, '106.750')]
+[2026-06-04 14:43:57,511][649901] Saving new best policy, reward=106.750!
+[2026-06-04 14:44:01,055][649981] Updated weights for policy 0, policy_version 512 (0.0009)
+[2026-06-04 14:44:02,506][648971] Fps is (10 sec: 9011.3, 60 sec: 8738.1, 300 sec: 8738.1). Total num frames: 262144. Throughput: 0: 8499.2. Samples: 254976. Policy #0 lag: (min: 11.0, avg: 13.8, max: 75.0)
+[2026-06-04 14:44:02,507][648971] Avg episode reward: [(0, '122.400')]
+[2026-06-04 14:44:02,511][649901] Saving new best policy, reward=123.150!
+[2026-06-04 14:44:07,506][648971] Fps is (10 sec: 6553.6, 60 sec: 8426.0, 300 sec: 8426.0). Total num frames: 294912. Throughput: 0: 8660.1. Samples: 303104. Policy #0 lag: (min: 8.0, avg: 10.7, max: 72.0)
+[2026-06-04 14:44:07,507][648971] Avg episode reward: [(0, '134.500')]
+[2026-06-04 14:44:07,511][649901] Saving new best policy, reward=134.500!
+[2026-06-04 14:44:08,684][649981] Updated weights for policy 0, policy_version 626 (0.0011)
+[2026-06-04 14:44:12,506][648971] Fps is (10 sec: 9011.2, 60 sec: 8806.4, 300 sec: 8806.4). Total num frames: 352256. Throughput: 0: 8896.0. Samples: 355840. Policy #0 lag: (min: 3.0, avg: 5.9, max: 67.0)
+[2026-06-04 14:44:12,507][648971] Avg episode reward: [(0, '141.950')]
+[2026-06-04 14:44:12,659][649901] Saving new best policy, reward=141.950!
+[2026-06-04 14:44:16,114][649981] Updated weights for policy 0, policy_version 720 (0.0010)
+[2026-06-04 14:44:17,506][648971] Fps is (10 sec: 9830.5, 60 sec: 8738.1, 300 sec: 8738.1). Total num frames: 393216. Throughput: 0: 8487.8. Samples: 381952. Policy #0 lag: (min: 10.0, avg: 13.2, max: 74.0)
+[2026-06-04 14:44:17,507][648971] Avg episode reward: [(0, '152.550')]
+[2026-06-04 14:44:17,511][649901] Saving new best policy, reward=152.550!
+[2026-06-04 14:44:20,320][649981] Updated weights for policy 0, policy_version 829 (0.0011)
+[2026-06-04 14:44:22,506][648971] Fps is (10 sec: 7372.8, 60 sec: 8519.7, 300 sec: 8519.7). Total num frames: 425984. Throughput: 0: 8613.0. Samples: 430592. Policy #0 lag: (min: 0.0, avg: 2.9, max: 64.0)
+[2026-06-04 14:44:22,507][648971] Avg episode reward: [(0, '157.650')]
+[2026-06-04 14:44:22,511][649901] Saving new best policy, reward=157.650!
+[2026-06-04 14:44:27,506][648971] Fps is (10 sec: 6553.6, 60 sec: 8341.0, 300 sec: 8341.0). Total num frames: 458752. Throughput: 0: 8522.0. Samples: 482816. Policy #0 lag: (min: 6.0, avg: 8.7, max: 70.0)
+[2026-06-04 14:44:27,507][648971] Avg episode reward: [(0, '180.900')]
+[2026-06-04 14:44:27,511][649901] Saving new best policy, reward=180.900!
+[2026-06-04 14:44:27,948][649981] Updated weights for policy 0, policy_version 944 (0.0011)
+[2026-06-04 14:44:32,506][648971] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8738.1). Total num frames: 524288. Throughput: 0: 8442.3. Samples: 507904. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0)
+[2026-06-04 14:44:32,507][648971] Avg episode reward: [(0, '167.300')]
+[2026-06-04 14:44:35,682][649901] Signal inference workers to stop experience collection... (50 times)
+[2026-06-04 14:44:35,683][649981] Updated weights for policy 0, policy_version 1056 (0.0013)
+[2026-06-04 14:44:35,712][649981] InferenceWorker_p0-w0: stopping experience collection (50 times)
+[2026-06-04 14:44:35,795][649901] Signal inference workers to resume experience collection... (50 times)
+[2026-06-04 14:44:35,795][649981] InferenceWorker_p0-w0: resuming experience collection (50 times)
+[2026-06-04 14:44:37,506][648971] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8570.1). Total num frames: 557056. Throughput: 0: 8385.4. Samples: 557568. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0)
+[2026-06-04 14:44:37,507][648971] Avg episode reward: [(0, '153.650')]
+[2026-06-04 14:44:42,507][648971] Fps is (10 sec: 6553.5, 60 sec: 8192.0, 300 sec: 8426.0). Total num frames: 589824. Throughput: 0: 8430.9. Samples: 609792. Policy #0 lag: (min: 5.0, avg: 7.6, max: 69.0)
+[2026-06-04 14:44:42,507][648971] Avg episode reward: [(0, '168.200')]
+[2026-06-04 14:44:43,327][649981] Updated weights for policy 0, policy_version 1184 (0.0012)
+[2026-06-04 14:44:47,506][648971] Fps is (10 sec: 9011.2, 60 sec: 8601.6, 300 sec: 8628.9). Total num frames: 647168. Throughput: 0: 8442.3. Samples: 634880. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0)
+[2026-06-04 14:44:47,507][648971] Avg episode reward: [(0, '177.450')]
+[2026-06-04 14:44:50,972][649981] Updated weights for policy 0, policy_version 1296 (0.0011)
+[2026-06-04 14:44:52,506][648971] Fps is (10 sec: 9830.4, 60 sec: 8601.6, 300 sec: 8601.6). Total num frames: 688128. Throughput: 0: 8499.2. Samples: 685568. Policy #0 lag: (min: 6.0, avg: 8.6, max: 70.0)
+[2026-06-04 14:44:52,507][648971] Avg episode reward: [(0, '175.300')]
+[2026-06-04 14:44:55,405][649981] Updated weights for policy 0, policy_version 1396 (0.0012)
+[2026-06-04 14:44:57,506][648971] Fps is (10 sec: 7372.8, 60 sec: 8192.0, 300 sec: 8481.1). Total num frames: 720896. Throughput: 0: 8396.8. Samples: 733696. Policy #0 lag: (min: 2.0, avg: 4.7, max: 66.0)
+[2026-06-04 14:44:57,507][648971] Avg episode reward: [(0, '179.800')]
+[2026-06-04 14:45:02,506][648971] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8374.0). Total num frames: 753664. Throughput: 0: 8374.0. Samples: 758784. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0)
+[2026-06-04 14:45:02,507][648971] Avg episode reward: [(0, '170.600')]
+[2026-06-04 14:45:03,000][649981] Updated weights for policy 0, policy_version 1504 (0.0010)
+[2026-06-04 14:45:07,234][649981] Updated weights for policy 0, policy_version 1600 (0.0011)
+[2026-06-04 14:45:07,506][648971] Fps is (10 sec: 9830.3, 60 sec: 8738.1, 300 sec: 8623.2). Total num frames: 819200. Throughput: 0: 8419.5. Samples: 809472. Policy #0 lag: (min: 7.0, avg: 9.8, max: 71.0)
+[2026-06-04 14:45:07,507][648971] Avg episode reward: [(0, '179.950')]
+[2026-06-04 14:45:12,506][648971] Fps is (10 sec: 9830.4, 60 sec: 8328.5, 300 sec: 8519.7). Total num frames: 851968. Throughput: 0: 8351.3. Samples: 858624. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:45:12,507][648971] Avg episode reward: [(0, '192.000')]
+[2026-06-04 14:45:12,511][649901] Saving new best policy, reward=192.000!
+[2026-06-04 14:45:14,989][649981] Updated weights for policy 0, policy_version 1712 (0.0011)
+[2026-06-04 14:45:17,506][648971] Fps is (10 sec: 6553.7, 60 sec: 8192.0, 300 sec: 8426.1). Total num frames: 884736. Throughput: 0: 8374.0. Samples: 884736. Policy #0 lag: (min: 7.0, avg: 10.6, max: 71.0)
+[2026-06-04 14:45:17,507][648971] Avg episode reward: [(0, '175.650')]
+[2026-06-04 14:45:22,506][648971] Fps is (10 sec: 6553.7, 60 sec: 8192.0, 300 sec: 8340.9). Total num frames: 917504. Throughput: 0: 8328.5. Samples: 932352. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:45:22,507][648971] Avg episode reward: [(0, '177.700')]
+[2026-06-04 14:45:22,818][649981] Updated weights for policy 0, policy_version 1808 (0.0011)
+[2026-06-04 14:45:27,025][649981] Updated weights for policy 0, policy_version 1904 (0.0011)
+[2026-06-04 14:45:27,506][648971] Fps is (10 sec: 9830.3, 60 sec: 8738.1, 300 sec: 8548.2). Total num frames: 983040. Throughput: 0: 8294.4. Samples: 983040. Policy #0 lag: (min: 10.0, avg: 13.3, max: 74.0)
+[2026-06-04 14:45:27,507][648971] Avg episode reward: [(0, '182.450')]
+[2026-06-04 14:45:32,506][648971] Fps is (10 sec: 9830.4, 60 sec: 8192.0, 300 sec: 8465.1). Total num frames: 1015808. Throughput: 0: 8294.4. Samples: 1008128. Policy #0 lag: (min: 2.0, avg: 5.1, max: 66.0)
+[2026-06-04 14:45:32,507][648971] Avg episode reward: [(0, '177.900')]
+[2026-06-04 14:45:34,481][649981] Updated weights for policy 0, policy_version 2000 (0.0010)
+[2026-06-04 14:45:37,506][648971] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8388.6). Total num frames: 1048576. Throughput: 0: 8271.7. Samples: 1057792. Policy #0 lag: (min: 4.0, avg: 6.7, max: 68.0)
+[2026-06-04 14:45:37,507][648971] Avg episode reward: [(0, '199.500')]
+[2026-06-04 14:45:37,511][649901] Saving new best policy, reward=199.500!
+[2026-06-04 14:45:38,805][649981] Updated weights for policy 0, policy_version 2106 (0.0010)
+[2026-06-04 14:45:42,412][649901] Signal inference workers to stop experience collection... (100 times)
+[2026-06-04 14:45:42,441][649981] InferenceWorker_p0-w0: stopping experience collection (100 times)
+[2026-06-04 14:45:42,507][648971] Fps is (10 sec: 7372.7, 60 sec: 8328.5, 300 sec: 8381.0). Total num frames: 1089536. Throughput: 0: 8328.5. Samples: 1108480. Policy #0 lag: (min: 5.0, avg: 7.8, max: 69.0)
+[2026-06-04 14:45:42,507][648971] Avg episode reward: [(0, '194.650')]
+[2026-06-04 14:45:42,522][649901] Signal inference workers to resume experience collection... (100 times)
+[2026-06-04 14:45:42,522][649981] InferenceWorker_p0-w0: resuming experience collection (100 times)
+[2026-06-04 14:45:46,628][649981] Updated weights for policy 0, policy_version 2209 (0.0010)
+[2026-06-04 14:45:47,506][648971] Fps is (10 sec: 9830.4, 60 sec: 8328.5, 300 sec: 8495.4). Total num frames: 1146880. Throughput: 0: 8294.4. Samples: 1132032. Policy #0 lag: (min: 12.0, avg: 14.7, max: 76.0)
+[2026-06-04 14:45:47,507][648971] Avg episode reward: [(0, '228.050')]
+[2026-06-04 14:45:47,511][649901] Saving new best policy, reward=228.050!
+[2026-06-04 14:45:50,779][649981] Updated weights for policy 0, policy_version 2304 (0.0010)
+[2026-06-04 14:45:52,506][648971] Fps is (10 sec: 9011.3, 60 sec: 8192.0, 300 sec: 8426.1). Total num frames: 1179648. Throughput: 0: 8260.3. Samples: 1181184. Policy #0 lag: (min: 11.0, avg: 14.2, max: 75.0)
+[2026-06-04 14:45:52,507][648971] Avg episode reward: [(0, '215.700')]
+[2026-06-04 14:45:57,506][648971] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8361.5). Total num frames: 1212416. Throughput: 0: 8317.2. Samples: 1232896. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0)
+[2026-06-04 14:45:57,507][648971] Avg episode reward: [(0, '193.000')]
+[2026-06-04 14:45:58,300][649981] Updated weights for policy 0, policy_version 2416 (0.0010)
+[2026-06-04 14:46:02,506][648971] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8519.7). Total num frames: 1277952. Throughput: 0: 8305.8. Samples: 1258496. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0)
+[2026-06-04 14:46:02,507][648971] Avg episode reward: [(0, '203.700')]
+[2026-06-04 14:46:05,712][649981] Updated weights for policy 0, policy_version 2512 (0.0011)
+[2026-06-04 14:46:07,506][648971] Fps is (10 sec: 9830.4, 60 sec: 8192.0, 300 sec: 8456.3). Total num frames: 1310720. Throughput: 0: 8419.6. Samples: 1311232. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0)
+[2026-06-04 14:46:07,507][648971] Avg episode reward: [(0, '228.500')]
+[2026-06-04 14:46:07,511][649901] Saving new best policy, reward=228.500!
+[2026-06-04 14:46:09,809][649981] Updated weights for policy 0, policy_version 2615 (0.0012)
+[2026-06-04 14:46:12,506][648971] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8396.8). Total num frames: 1343488. Throughput: 0: 8419.6. Samples: 1361920. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:46:12,507][648971] Avg episode reward: [(0, '201.800')]
+[2026-06-04 14:46:17,351][649981] Updated weights for policy 0, policy_version 2720 (0.0011)
+[2026-06-04 14:46:17,506][648971] Fps is (10 sec: 9011.2, 60 sec: 8601.6, 300 sec: 8489.9). Total num frames: 1400832. Throughput: 0: 8396.8. Samples: 1385984. Policy #0 lag: (min: 14.0, avg: 17.4, max: 78.0)
+[2026-06-04 14:46:17,507][648971] Avg episode reward: [(0, '180.850')]
+[2026-06-04 14:46:21,386][649981] Updated weights for policy 0, policy_version 2816 (0.0011)
+[2026-06-04 14:46:22,506][648971] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8481.1). Total num frames: 1441792. Throughput: 0: 8476.4. Samples: 1439232. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0)
+[2026-06-04 14:46:22,507][648971] Avg episode reward: [(0, '206.550')]
+[2026-06-04 14:46:27,506][648971] Fps is (10 sec: 7372.8, 60 sec: 8192.0, 300 sec: 8426.1). Total num frames: 1474560. Throughput: 0: 8499.2. Samples: 1490944. Policy #0 lag: (min: 13.0, avg: 15.7, max: 77.0)
+[2026-06-04 14:46:27,507][648971] Avg episode reward: [(0, '240.950')]
+[2026-06-04 14:46:27,511][649901] Saving new best policy, reward=240.950!
+[2026-06-04 14:46:28,923][649981] Updated weights for policy 0, policy_version 2935 (0.0011)
+[2026-06-04 14:46:32,506][648971] Fps is (10 sec: 8192.0, 60 sec: 8465.1, 300 sec: 8465.1). Total num frames: 1523712. Throughput: 0: 8533.3. Samples: 1516032. Policy #0 lag: (min: 31.0, avg: 33.6, max: 95.0)
+[2026-06-04 14:46:32,507][648971] Avg episode reward: [(0, '232.450')]
+[2026-06-04 14:46:36,480][649981] Updated weights for policy 0, policy_version 3060 (0.0011)
+[2026-06-04 14:46:37,506][648971] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8502.0). Total num frames: 1572864. Throughput: 0: 8613.0. Samples: 1568768. Policy #0 lag: (min: 18.0, avg: 20.6, max: 82.0)
+[2026-06-04 14:46:37,507][648971] Avg episode reward: [(0, '245.600')]
+[2026-06-04 14:46:37,511][649901] Saving new best policy, reward=245.600!
+[2026-06-04 14:46:42,506][648971] Fps is (10 sec: 8191.9, 60 sec: 8601.6, 300 sec: 8450.7). Total num frames: 1605632. Throughput: 0: 8590.2. Samples: 1619456. Policy #0 lag: (min: 47.0, avg: 49.8, max: 111.0)
+[2026-06-04 14:46:42,507][648971] Avg episode reward: [(0, '255.050')]
+[2026-06-04 14:46:42,511][649901] Saving new best policy, reward=255.050!
+[2026-06-04 14:46:44,031][649981] Updated weights for policy 0, policy_version 3168 (0.0011)
+[2026-06-04 14:46:47,506][648971] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8402.1). Total num frames: 1638400. Throughput: 0: 8567.5. Samples: 1644032. Policy #0 lag: (min: 47.0, avg: 49.8, max: 111.0)
+[2026-06-04 14:46:47,507][648971] Avg episode reward: [(0, '278.200')]
+[2026-06-04 14:46:47,511][649901] Saving new best policy, reward=278.200!
+[2026-06-04 14:46:47,583][649901] Signal inference workers to stop experience collection... (150 times)
+[2026-06-04 14:46:47,609][649981] InferenceWorker_p0-w0: stopping experience collection (150 times)
+[2026-06-04 14:46:47,705][649901] Signal inference workers to resume experience collection... (150 times)
+[2026-06-04 14:46:47,706][649981] InferenceWorker_p0-w0: resuming experience collection (150 times)
+[2026-06-04 14:46:48,158][649981] Updated weights for policy 0, policy_version 3264 (0.0011)
+[2026-06-04 14:46:52,506][648971] Fps is (10 sec: 9830.5, 60 sec: 8738.1, 300 sec: 8519.7). Total num frames: 1703936. Throughput: 0: 8556.1. Samples: 1696256. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:46:52,507][648971] Avg episode reward: [(0, '271.950')]
+[2026-06-04 14:46:55,727][649981] Updated weights for policy 0, policy_version 3381 (0.0012)
+[2026-06-04 14:46:57,506][648971] Fps is (10 sec: 9830.5, 60 sec: 8738.1, 300 sec: 8471.7). Total num frames: 1736704. Throughput: 0: 8544.7. Samples: 1746432. Policy #0 lag: (min: 63.0, avg: 65.8, max: 127.0)
+[2026-06-04 14:46:57,507][648971] Avg episode reward: [(0, '231.250')]
+[2026-06-04 14:47:02,506][648971] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8426.1). Total num frames: 1769472. Throughput: 0: 8578.8. Samples: 1772032. Policy #0 lag: (min: 63.0, avg: 65.8, max: 127.0)
+[2026-06-04 14:47:02,507][648971] Avg episode reward: [(0, '250.850')]
+[2026-06-04 14:47:02,935][649981] Updated weights for policy 0, policy_version 3472 (0.0010)
+[2026-06-04 14:47:07,032][649981] Updated weights for policy 0, policy_version 3575 (0.0011)
+[2026-06-04 14:47:07,506][648971] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8534.9). Total num frames: 1835008. Throughput: 0: 8613.0. Samples: 1826816. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0)
+[2026-06-04 14:47:07,507][648971] Avg episode reward: [(0, '278.150')]
+[2026-06-04 14:47:12,506][648971] Fps is (10 sec: 9830.5, 60 sec: 8738.2, 300 sec: 8489.9). Total num frames: 1867776. Throughput: 0: 8578.9. Samples: 1876992. Policy #0 lag: (min: 10.0, avg: 12.7, max: 74.0)
+[2026-06-04 14:47:12,507][648971] Avg episode reward: [(0, '258.850')]
+[2026-06-04 14:47:14,504][649981] Updated weights for policy 0, policy_version 3696 (0.0012)
+[2026-06-04 14:47:17,506][648971] Fps is (10 sec: 6553.6, 60 sec: 8328.5, 300 sec: 8446.9). Total num frames: 1900544. Throughput: 0: 8590.2. Samples: 1902592. Policy #0 lag: (min: 10.0, avg: 12.7, max: 74.0)
+[2026-06-04 14:47:17,507][648971] Avg episode reward: [(0, '264.700')]
+[2026-06-04 14:47:21,784][649981] Updated weights for policy 0, policy_version 3792 (0.0011)
+[2026-06-04 14:47:22,506][648971] Fps is (10 sec: 9830.2, 60 sec: 8738.1, 300 sec: 8548.2). Total num frames: 1966080. Throughput: 0: 8613.0. Samples: 1956352. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0)
+[2026-06-04 14:47:22,507][648971] Avg episode reward: [(0, '247.450')]
+[2026-06-04 14:47:26,032][649981] Updated weights for policy 0, policy_version 3904 (0.0011)
+[2026-06-04 14:47:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8505.7). Total num frames: 1998848. Throughput: 0: 8613.0. Samples: 2007040. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0)
+[2026-06-04 14:47:27,507][648971] Avg episode reward: [(0, '279.500')]
+[2026-06-04 14:47:27,511][649901] Saving new best policy, reward=279.500!
+[2026-06-04 14:47:32,506][648971] Fps is (10 sec: 6553.6, 60 sec: 8465.1, 300 sec: 8465.1). Total num frames: 2031616. Throughput: 0: 8647.1. Samples: 2033152. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0)
+[2026-06-04 14:47:32,507][648971] Avg episode reward: [(0, '315.150')]
+[2026-06-04 14:47:32,511][649901] Saving new best policy, reward=315.150!
+[2026-06-04 14:47:33,307][649981] Updated weights for policy 0, policy_version 4023 (0.0011)
+[2026-06-04 14:47:37,506][648971] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8559.8). Total num frames: 2097152. Throughput: 0: 8681.2. Samples: 2086912. Policy #0 lag: (min: 1.0, avg: 3.7, max: 65.0)
+[2026-06-04 14:47:37,507][648971] Avg episode reward: [(0, '306.800')]
+[2026-06-04 14:47:40,781][649981] Updated weights for policy 0, policy_version 4128 (0.0010)
+[2026-06-04 14:47:42,506][648971] Fps is (10 sec: 9830.3, 60 sec: 8738.1, 300 sec: 8519.7). Total num frames: 2129920. Throughput: 0: 8669.8. Samples: 2136576. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:47:42,507][648971] Avg episode reward: [(0, '280.600')]
+[2026-06-04 14:47:44,883][649981] Updated weights for policy 0, policy_version 4224 (0.0010)
+[2026-06-04 14:47:47,507][648971] Fps is (10 sec: 6553.5, 60 sec: 8738.1, 300 sec: 8481.1). Total num frames: 2162688. Throughput: 0: 8704.0. Samples: 2163712. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:47:47,508][648971] Avg episode reward: [(0, '281.150')]
+[2026-06-04 14:47:48,163][649901] Signal inference workers to stop experience collection... (200 times)
+[2026-06-04 14:47:48,193][649981] InferenceWorker_p0-w0: stopping experience collection (200 times)
+[2026-06-04 14:47:48,271][649901] Signal inference workers to resume experience collection... (200 times)
+[2026-06-04 14:47:48,272][649981] InferenceWorker_p0-w0: resuming experience collection (200 times)
+[2026-06-04 14:47:52,167][649981] Updated weights for policy 0, policy_version 4338 (0.0011)
+[2026-06-04 14:47:52,507][648971] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8570.1). Total num frames: 2228224. Throughput: 0: 8704.0. Samples: 2218496. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0)
+[2026-06-04 14:47:52,508][648971] Avg episode reward: [(0, '297.950')]
+[2026-06-04 14:47:57,507][648971] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8532.0). Total num frames: 2260992. Throughput: 0: 8726.7. Samples: 2269696. Policy #0 lag: (min: 12.0, avg: 14.9, max: 76.0)
+[2026-06-04 14:47:57,508][648971] Avg episode reward: [(0, '326.650')]
+[2026-06-04 14:47:57,512][649901] Saving new best policy, reward=326.650!
+[2026-06-04 14:47:59,344][649981] Updated weights for policy 0, policy_version 4432 (0.0011)
+[2026-06-04 14:48:02,507][648971] Fps is (10 sec: 6553.6, 60 sec: 8738.1, 300 sec: 8495.4). Total num frames: 2293760. Throughput: 0: 8726.7. Samples: 2295296. Policy #0 lag: (min: 12.0, avg: 14.9, max: 76.0)
+[2026-06-04 14:48:02,508][648971] Avg episode reward: [(0, '300.800')]
+[2026-06-04 14:48:03,541][649981] Updated weights for policy 0, policy_version 4544 (0.0012)
+[2026-06-04 14:48:07,507][648971] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8579.3). Total num frames: 2359296. Throughput: 0: 8726.7. Samples: 2349056. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0)
+[2026-06-04 14:48:07,508][648971] Avg episode reward: [(0, '284.050')]
+[2026-06-04 14:48:10,756][649981] Updated weights for policy 0, policy_version 4656 (0.0012)
+[2026-06-04 14:48:12,507][648971] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8543.1). Total num frames: 2392064. Throughput: 0: 8772.2. Samples: 2401792. Policy #0 lag: (min: 14.0, avg: 16.7, max: 78.0)
+[2026-06-04 14:48:12,507][648971] Avg episode reward: [(0, '304.250')]
+[2026-06-04 14:48:17,506][648971] Fps is (10 sec: 6553.6, 60 sec: 8738.1, 300 sec: 8508.2). Total num frames: 2424832. Throughput: 0: 8772.3. Samples: 2427904. Policy #0 lag: (min: 14.0, avg: 16.7, max: 78.0)
+[2026-06-04 14:48:17,507][648971] Avg episode reward: [(0, '314.600')]
+[2026-06-04 14:48:17,803][649981] Updated weights for policy 0, policy_version 4737 (0.0010)
+[2026-06-04 14:48:21,879][649981] Updated weights for policy 0, policy_version 4855 (0.0011)
+[2026-06-04 14:48:22,507][648971] Fps is (10 sec: 9830.3, 60 sec: 8738.1, 300 sec: 8587.5). Total num frames: 2490368. Throughput: 0: 8795.0. Samples: 2482688. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0)
+[2026-06-04 14:48:22,508][648971] Avg episode reward: [(0, '342.150')]
+[2026-06-04 14:48:22,512][649901] Saving new best policy, reward=342.150!
+[2026-06-04 14:48:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 2523136. Throughput: 0: 8840.5. Samples: 2534400. Policy #0 lag: (min: 7.0, avg: 9.6, max: 71.0)
+[2026-06-04 14:48:27,507][648971] Avg episode reward: [(0, '350.300')]
+[2026-06-04 14:48:27,512][649901] Saving new best policy, reward=350.300!
+[2026-06-04 14:48:29,103][649981] Updated weights for policy 0, policy_version 4944 (0.0010)
+[2026-06-04 14:48:32,507][648971] Fps is (10 sec: 6553.6, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 2555904. Throughput: 0: 8806.4. Samples: 2560000. Policy #0 lag: (min: 7.0, avg: 9.6, max: 71.0)
+[2026-06-04 14:48:32,508][648971] Avg episode reward: [(0, '326.450')]
+[2026-06-04 14:48:33,181][649981] Updated weights for policy 0, policy_version 5053 (0.0010)
+[2026-06-04 14:48:37,507][648971] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 2621440. Throughput: 0: 8795.0. Samples: 2614272. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0)
+[2026-06-04 14:48:37,508][648971] Avg episode reward: [(0, '334.450')]
+[2026-06-04 14:48:40,603][649981] Updated weights for policy 0, policy_version 5168 (0.0011)
+[2026-06-04 14:48:42,507][648971] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 2654208. Throughput: 0: 8783.6. Samples: 2664960. Policy #0 lag: (min: 0.0, avg: 2.7, max: 64.0)
+[2026-06-04 14:48:42,508][648971] Avg episode reward: [(0, '330.550')]
+[2026-06-04 14:48:47,506][648971] Fps is (10 sec: 6553.6, 60 sec: 8738.2, 300 sec: 8525.2). Total num frames: 2686976. Throughput: 0: 8795.0. Samples: 2691072. Policy #0 lag: (min: 0.0, avg: 2.7, max: 64.0)
+[2026-06-04 14:48:47,507][648971] Avg episode reward: [(0, '335.300')]
+[2026-06-04 14:48:47,638][649981] Updated weights for policy 0, policy_version 5251 (0.0010)
+[2026-06-04 14:48:51,304][649901] Signal inference workers to stop experience collection... (250 times)
+[2026-06-04 14:48:51,334][649981] InferenceWorker_p0-w0: stopping experience collection (250 times)
+[2026-06-04 14:48:51,433][649901] Signal inference workers to resume experience collection... (250 times)
+[2026-06-04 14:48:51,433][649981] InferenceWorker_p0-w0: resuming experience collection (250 times)
+[2026-06-04 14:48:51,548][649981] Updated weights for policy 0, policy_version 5360 (0.0011)
+[2026-06-04 14:48:52,507][648971] Fps is (10 sec: 9830.3, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 2752512. Throughput: 0: 8840.5. Samples: 2746880. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0)
+[2026-06-04 14:48:52,508][648971] Avg episode reward: [(0, '366.550')]
+[2026-06-04 14:48:52,511][649901] Saving new best policy, reward=366.550!
+[2026-06-04 14:48:57,507][648971] Fps is (10 sec: 9830.3, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 2785280. Throughput: 0: 8795.0. Samples: 2797568. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0)
+[2026-06-04 14:48:57,508][648971] Avg episode reward: [(0, '401.900')]
+[2026-06-04 14:48:57,512][649901] Saving new best policy, reward=401.900!
+[2026-06-04 14:48:59,117][649981] Updated weights for policy 0, policy_version 5472 (0.0009)
+[2026-06-04 14:49:02,507][648971] Fps is (10 sec: 6553.7, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 2818048. Throughput: 0: 8772.3. Samples: 2822656. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0)
+[2026-06-04 14:49:02,508][648971] Avg episode reward: [(0, '410.800')]
+[2026-06-04 14:49:02,512][649901] Saving new best policy, reward=410.800!
+[2026-06-04 14:49:03,200][649981] Updated weights for policy 0, policy_version 5568 (0.0006)
+[2026-06-04 14:49:07,506][648971] Fps is (10 sec: 9830.5, 60 sec: 8738.2, 300 sec: 8580.8). Total num frames: 2883584. Throughput: 0: 8738.2. Samples: 2875904. Policy #0 lag: (min: 5.0, avg: 8.7, max: 69.0)
+[2026-06-04 14:49:07,507][648971] Avg episode reward: [(0, '364.800')]
+[2026-06-04 14:49:10,573][649981] Updated weights for policy 0, policy_version 5684 (0.0011)
+[2026-06-04 14:49:12,506][648971] Fps is (10 sec: 9830.6, 60 sec: 8738.2, 300 sec: 8553.0). Total num frames: 2916352. Throughput: 0: 8726.8. Samples: 2927104. Policy #0 lag: (min: 5.0, avg: 7.8, max: 69.0)
+[2026-06-04 14:49:12,507][648971] Avg episode reward: [(0, '385.800')]
+[2026-06-04 14:49:17,506][648971] Fps is (10 sec: 6553.6, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 2949120. Throughput: 0: 8726.8. Samples: 2952704. Policy #0 lag: (min: 5.0, avg: 7.8, max: 69.0)
+[2026-06-04 14:49:17,507][648971] Avg episode reward: [(0, '417.700')]
+[2026-06-04 14:49:17,511][649901] Saving new best policy, reward=417.700!
+[2026-06-04 14:49:17,947][649981] Updated weights for policy 0, policy_version 5792 (0.0011)
+[2026-06-04 14:49:21,967][649981] Updated weights for policy 0, policy_version 5888 (0.0010)
+[2026-06-04 14:49:22,506][648971] Fps is (10 sec: 9830.3, 60 sec: 8738.1, 300 sec: 8664.1). Total num frames: 3014656. Throughput: 0: 8726.8. Samples: 3006976. Policy #0 lag: (min: 1.0, avg: 3.7, max: 65.0)
+[2026-06-04 14:49:22,507][648971] Avg episode reward: [(0, '393.400')]
+[2026-06-04 14:49:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 3047424. Throughput: 0: 8772.3. Samples: 3059712. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0)
+[2026-06-04 14:49:27,507][648971] Avg episode reward: [(0, '355.350')]
+[2026-06-04 14:49:29,200][649981] Updated weights for policy 0, policy_version 6000 (0.0011)
+[2026-06-04 14:49:32,506][648971] Fps is (10 sec: 6553.6, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 3080192. Throughput: 0: 8749.5. Samples: 3084800. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0)
+[2026-06-04 14:49:32,507][648971] Avg episode reward: [(0, '368.650')]
+[2026-06-04 14:49:36,339][649981] Updated weights for policy 0, policy_version 6097 (0.0010)
+[2026-06-04 14:49:37,506][648971] Fps is (10 sec: 9830.3, 60 sec: 8738.1, 300 sec: 8664.1). Total num frames: 3145728. Throughput: 0: 8749.5. Samples: 3140608. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0)
+[2026-06-04 14:49:37,507][648971] Avg episode reward: [(0, '415.250')]
+[2026-06-04 14:49:40,299][649981] Updated weights for policy 0, policy_version 6192 (0.0010)
+[2026-06-04 14:49:42,506][648971] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8580.8). Total num frames: 3178496. Throughput: 0: 8783.7. Samples: 3192832. Policy #0 lag: (min: 2.0, avg: 5.4, max: 66.0)
+[2026-06-04 14:49:42,507][648971] Avg episode reward: [(0, '408.950')]
+[2026-06-04 14:49:47,374][649981] Updated weights for policy 0, policy_version 6288 (0.0010)
+[2026-06-04 14:49:47,506][648971] Fps is (10 sec: 8192.1, 60 sec: 9011.2, 300 sec: 8608.5). Total num frames: 3227648. Throughput: 0: 8783.7. Samples: 3217920. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:49:47,507][648971] Avg episode reward: [(0, '392.200')]
+[2026-06-04 14:49:51,419][649981] Updated weights for policy 0, policy_version 6397 (0.0010)
+[2026-06-04 14:49:52,506][648971] Fps is (10 sec: 9830.4, 60 sec: 8738.2, 300 sec: 8664.1). Total num frames: 3276800. Throughput: 0: 8829.2. Samples: 3273216. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:49:52,507][648971] Avg episode reward: [(0, '398.450')]
+[2026-06-04 14:49:54,433][649901] Signal inference workers to stop experience collection... (300 times)
+[2026-06-04 14:49:54,461][649981] InferenceWorker_p0-w0: stopping experience collection (300 times)
+[2026-06-04 14:49:54,544][649901] Signal inference workers to resume experience collection... (300 times)
+[2026-06-04 14:49:54,545][649981] InferenceWorker_p0-w0: resuming experience collection (300 times)
+[2026-06-04 14:49:57,506][648971] Fps is (10 sec: 8192.0, 60 sec: 8738.1, 300 sec: 8664.1). Total num frames: 3309568. Throughput: 0: 8931.5. Samples: 3329024. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0)
+[2026-06-04 14:49:57,507][648971] Avg episode reward: [(0, '389.000')]
+[2026-06-04 14:49:58,133][649981] Updated weights for policy 0, policy_version 6481 (0.0011)
+[2026-06-04 14:50:02,028][649981] Updated weights for policy 0, policy_version 6580 (0.0011)
+[2026-06-04 14:50:02,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8664.1). Total num frames: 3375104. Throughput: 0: 8977.1. Samples: 3356672. Policy #0 lag: (min: 3.0, avg: 6.5, max: 67.0)
+[2026-06-04 14:50:02,507][648971] Avg episode reward: [(0, '404.700')]
+[2026-06-04 14:50:07,506][648971] Fps is (10 sec: 9830.3, 60 sec: 8738.1, 300 sec: 8664.1). Total num frames: 3407872. Throughput: 0: 8942.9. Samples: 3409408. Policy #0 lag: (min: 3.0, avg: 6.5, max: 67.0)
+[2026-06-04 14:50:07,507][648971] Avg episode reward: [(0, '411.050')]
+[2026-06-04 14:50:08,972][649981] Updated weights for policy 0, policy_version 6672 (0.0010)
+[2026-06-04 14:50:12,506][648971] Fps is (10 sec: 6553.5, 60 sec: 8738.1, 300 sec: 8664.1). Total num frames: 3440640. Throughput: 0: 8999.8. Samples: 3464704. Policy #0 lag: (min: 4.0, avg: 6.7, max: 68.0)
+[2026-06-04 14:50:12,507][648971] Avg episode reward: [(0, '469.000')]
+[2026-06-04 14:50:12,511][649901] Saving new best policy, reward=469.000!
+[2026-06-04 14:50:13,009][649981] Updated weights for policy 0, policy_version 6775 (0.0006)
+[2026-06-04 14:50:17,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8775.2). Total num frames: 3506176. Throughput: 0: 9056.7. Samples: 3492352. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 14:50:17,507][648971] Avg episode reward: [(0, '498.550')]
+[2026-06-04 14:50:17,512][649901] Saving new best policy, reward=498.550!
+[2026-06-04 14:50:19,661][649981] Updated weights for policy 0, policy_version 6865 (0.0006)
+[2026-06-04 14:50:22,506][648971] Fps is (10 sec: 9830.5, 60 sec: 8738.1, 300 sec: 8664.1). Total num frames: 3538944. Throughput: 0: 9045.4. Samples: 3547648. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 14:50:22,507][648971] Avg episode reward: [(0, '501.150')]
+[2026-06-04 14:50:22,511][649901] Saving new best policy, reward=501.150!
+[2026-06-04 14:50:23,686][649981] Updated weights for policy 0, policy_version 6970 (0.0008)
+[2026-06-04 14:50:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8775.2). Total num frames: 3604480. Throughput: 0: 9090.8. Samples: 3601920. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0)
+[2026-06-04 14:50:27,507][648971] Avg episode reward: [(0, '525.050')]
+[2026-06-04 14:50:27,511][649901] Saving new best policy, reward=525.050!
+[2026-06-04 14:50:30,611][649981] Updated weights for policy 0, policy_version 7056 (0.0010)
+[2026-06-04 14:50:32,507][648971] Fps is (10 sec: 9830.3, 60 sec: 9284.3, 300 sec: 8775.2). Total num frames: 3637248. Throughput: 0: 9125.0. Samples: 3628544. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0)
+[2026-06-04 14:50:32,508][648971] Avg episode reward: [(0, '560.850')]
+[2026-06-04 14:50:32,511][649901] Saving new best policy, reward=560.850!
+[2026-06-04 14:50:34,506][649981] Updated weights for policy 0, policy_version 7162 (0.0009)
+[2026-06-04 14:50:37,507][648971] Fps is (10 sec: 6553.6, 60 sec: 8738.1, 300 sec: 8747.4). Total num frames: 3670016. Throughput: 0: 9125.0. Samples: 3683840. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0)
+[2026-06-04 14:50:37,507][648971] Avg episode reward: [(0, '595.900')]
+[2026-06-04 14:50:37,512][649901] Saving new best policy, reward=595.900!
+[2026-06-04 14:50:41,372][649981] Updated weights for policy 0, policy_version 7248 (0.0010)
+[2026-06-04 14:50:42,507][648971] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8775.2). Total num frames: 3735552. Throughput: 0: 9068.1. Samples: 3737088. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0)
+[2026-06-04 14:50:42,508][648971] Avg episode reward: [(0, '598.500')]
+[2026-06-04 14:50:42,511][649901] Saving new best policy, reward=598.500!
+[2026-06-04 14:50:45,412][649981] Updated weights for policy 0, policy_version 7358 (0.0011)
+[2026-06-04 14:50:47,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9011.2, 300 sec: 8775.2). Total num frames: 3768320. Throughput: 0: 9090.8. Samples: 3765760. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:50:47,507][648971] Avg episode reward: [(0, '582.200')]
+[2026-06-04 14:50:52,507][648971] Fps is (10 sec: 7372.8, 60 sec: 8874.7, 300 sec: 8802.9). Total num frames: 3809280. Throughput: 0: 9079.5. Samples: 3817984. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:50:52,508][648971] Avg episode reward: [(0, '571.800')]
+[2026-06-04 14:50:52,517][649901] Signal inference workers to stop experience collection... (350 times)
+[2026-06-04 14:50:52,546][649981] InferenceWorker_p0-w0: stopping experience collection (350 times)
+[2026-06-04 14:50:52,626][649901] Signal inference workers to resume experience collection... (350 times)
+[2026-06-04 14:50:52,626][649981] InferenceWorker_p0-w0: resuming experience collection (350 times)
+[2026-06-04 14:50:52,628][649981] Updated weights for policy 0, policy_version 7472 (0.0010)
+[2026-06-04 14:50:56,596][649981] Updated weights for policy 0, policy_version 7552 (0.0012)
+[2026-06-04 14:50:57,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8775.2). Total num frames: 3866624. Throughput: 0: 9011.2. Samples: 3870208. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:50:57,507][648971] Avg episode reward: [(0, '583.200')]
+[2026-06-04 14:51:02,506][648971] Fps is (10 sec: 9011.2, 60 sec: 8738.1, 300 sec: 8775.2). Total num frames: 3899392. Throughput: 0: 9056.7. Samples: 3899904. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:51:02,507][648971] Avg episode reward: [(0, '640.450')]
+[2026-06-04 14:51:02,511][649901] Saving new best policy, reward=640.450!
+[2026-06-04 14:51:03,405][649981] Updated weights for policy 0, policy_version 7666 (0.0010)
+[2026-06-04 14:51:07,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8886.2). Total num frames: 3964928. Throughput: 0: 9068.1. Samples: 3955712. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:51:07,507][648971] Avg episode reward: [(0, '640.150')]
+[2026-06-04 14:51:10,280][649981] Updated weights for policy 0, policy_version 7760 (0.0009)
+[2026-06-04 14:51:12,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8802.9). Total num frames: 3997696. Throughput: 0: 9068.1. Samples: 4009984. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:51:12,507][648971] Avg episode reward: [(0, '591.700')]
+[2026-06-04 14:51:14,068][649981] Updated weights for policy 0, policy_version 7860 (0.0010)
+[2026-06-04 14:51:17,506][648971] Fps is (10 sec: 9011.2, 60 sec: 9147.7, 300 sec: 8858.5). Total num frames: 4055040. Throughput: 0: 9102.2. Samples: 4038144. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:51:17,507][648971] Avg episode reward: [(0, '678.950')]
+[2026-06-04 14:51:17,637][649901] Saving new best policy, reward=678.950!
+[2026-06-04 14:51:20,844][649981] Updated weights for policy 0, policy_version 7969 (0.0010)
+[2026-06-04 14:51:22,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8886.2). Total num frames: 4096000. Throughput: 0: 9170.5. Samples: 4096512. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0)
+[2026-06-04 14:51:22,507][648971] Avg episode reward: [(0, '766.300')]
+[2026-06-04 14:51:22,511][649901] Saving new best policy, reward=766.300!
+[2026-06-04 14:51:24,458][649981] Updated weights for policy 0, policy_version 8059 (0.0011)
+[2026-06-04 14:51:27,506][648971] Fps is (10 sec: 7372.8, 60 sec: 8738.1, 300 sec: 8830.7). Total num frames: 4128768. Throughput: 0: 9227.4. Samples: 4152320. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0)
+[2026-06-04 14:51:27,507][648971] Avg episode reward: [(0, '814.100')]
+[2026-06-04 14:51:27,511][649901] Saving new best policy, reward=814.100!
+[2026-06-04 14:51:31,369][649981] Updated weights for policy 0, policy_version 8160 (0.0010)
+[2026-06-04 14:51:32,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8886.2). Total num frames: 4194304. Throughput: 0: 9193.2. Samples: 4179456. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:51:32,507][648971] Avg episode reward: [(0, '832.800')]
+[2026-06-04 14:51:32,511][649901] Saving new best policy, reward=832.800!
+[2026-06-04 14:51:35,167][649981] Updated weights for policy 0, policy_version 8250 (0.0010)
+[2026-06-04 14:51:37,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8886.2). Total num frames: 4227072. Throughput: 0: 9250.1. Samples: 4234240. Policy #0 lag: (min: 7.0, avg: 9.7, max: 71.0)
+[2026-06-04 14:51:37,507][648971] Avg episode reward: [(0, '910.000')]
+[2026-06-04 14:51:37,514][649901] Saving new best policy, reward=910.000!
+[2026-06-04 14:51:41,898][649981] Updated weights for policy 0, policy_version 8352 (0.0010)
+[2026-06-04 14:51:42,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8997.3). Total num frames: 4292608. Throughput: 0: 9375.3. Samples: 4292096. Policy #0 lag: (min: 6.0, avg: 8.7, max: 70.0)
+[2026-06-04 14:51:42,508][648971] Avg episode reward: [(0, '874.100')]
+[2026-06-04 14:51:45,593][649981] Updated weights for policy 0, policy_version 8445 (0.0011)
+[2026-06-04 14:51:47,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8886.2). Total num frames: 4325376. Throughput: 0: 9352.5. Samples: 4320768. Policy #0 lag: (min: 6.0, avg: 8.7, max: 70.0)
+[2026-06-04 14:51:47,507][648971] Avg episode reward: [(0, '821.500')]
+[2026-06-04 14:51:52,193][649901] Signal inference workers to stop experience collection... (400 times)
+[2026-06-04 14:51:52,223][649981] InferenceWorker_p0-w0: stopping experience collection (400 times)
+[2026-06-04 14:51:52,318][649901] Signal inference workers to resume experience collection... (400 times)
+[2026-06-04 14:51:52,318][649981] InferenceWorker_p0-w0: resuming experience collection (400 times)
+[2026-06-04 14:51:52,320][649981] Updated weights for policy 0, policy_version 8544 (0.0010)
+[2026-06-04 14:51:52,506][648971] Fps is (10 sec: 9011.2, 60 sec: 9557.3, 300 sec: 8969.5). Total num frames: 4382720. Throughput: 0: 9352.5. Samples: 4376576. Policy #0 lag: (min: 31.0, avg: 34.4, max: 95.0)
+[2026-06-04 14:51:52,507][648971] Avg episode reward: [(0, '740.600')]
+[2026-06-04 14:51:57,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8997.3). Total num frames: 4423680. Throughput: 0: 9363.9. Samples: 4431360. Policy #0 lag: (min: 34.0, avg: 36.6, max: 98.0)
+[2026-06-04 14:51:57,507][648971] Avg episode reward: [(0, '797.300')]
+[2026-06-04 14:51:59,143][649981] Updated weights for policy 0, policy_version 8656 (0.0010)
+[2026-06-04 14:52:02,507][648971] Fps is (10 sec: 7372.7, 60 sec: 9284.3, 300 sec: 8886.2). Total num frames: 4456448. Throughput: 0: 9363.9. Samples: 4459520. Policy #0 lag: (min: 34.0, avg: 36.6, max: 98.0)
+[2026-06-04 14:52:02,507][648971] Avg episode reward: [(0, '831.300')]
+[2026-06-04 14:52:02,984][649981] Updated weights for policy 0, policy_version 8762 (0.0010)
+[2026-06-04 14:52:07,506][648971] Fps is (10 sec: 9830.3, 60 sec: 9284.3, 300 sec: 8997.3). Total num frames: 4521984. Throughput: 0: 9341.1. Samples: 4516864. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:52:07,507][648971] Avg episode reward: [(0, '842.800')]
+[2026-06-04 14:52:09,924][649981] Updated weights for policy 0, policy_version 8864 (0.0010)
+[2026-06-04 14:52:12,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 8997.3). Total num frames: 4554752. Throughput: 0: 9329.8. Samples: 4572160. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:52:12,507][648971] Avg episode reward: [(0, '874.350')]
+[2026-06-04 14:52:13,574][649981] Updated weights for policy 0, policy_version 8952 (0.0010)
+[2026-06-04 14:52:17,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9420.8, 300 sec: 8997.3). Total num frames: 4620288. Throughput: 0: 9363.9. Samples: 4600832. Policy #0 lag: (min: 9.0, avg: 11.9, max: 73.0)
+[2026-06-04 14:52:17,507][648971] Avg episode reward: [(0, '988.200')]
+[2026-06-04 14:52:17,511][649901] Saving new best policy, reward=988.200!
+[2026-06-04 14:52:20,060][649981] Updated weights for policy 0, policy_version 9040 (0.0010)
+[2026-06-04 14:52:22,506][648971] Fps is (10 sec: 9830.3, 60 sec: 9284.2, 300 sec: 8997.3). Total num frames: 4653056. Throughput: 0: 9409.4. Samples: 4657664. Policy #0 lag: (min: 9.0, avg: 11.9, max: 73.0)
+[2026-06-04 14:52:22,507][648971] Avg episode reward: [(0, '1082.450')]
+[2026-06-04 14:52:22,512][649901] Saving new best policy, reward=1082.450!
+[2026-06-04 14:52:23,752][649981] Updated weights for policy 0, policy_version 9147 (0.0010)
+[2026-06-04 14:52:27,506][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9108.4). Total num frames: 4718592. Throughput: 0: 9443.5. Samples: 4717056. Policy #0 lag: (min: 7.0, avg: 9.8, max: 71.0)
+[2026-06-04 14:52:27,507][648971] Avg episode reward: [(0, '1072.700')]
+[2026-06-04 14:52:30,516][649981] Updated weights for policy 0, policy_version 9248 (0.0010)
+[2026-06-04 14:52:32,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 8997.3). Total num frames: 4751360. Throughput: 0: 9398.0. Samples: 4743680. Policy #0 lag: (min: 7.0, avg: 9.8, max: 71.0)
+[2026-06-04 14:52:32,507][648971] Avg episode reward: [(0, '1005.200')]
+[2026-06-04 14:52:34,396][649981] Updated weights for policy 0, policy_version 9344 (0.0010)
+[2026-06-04 14:52:37,506][648971] Fps is (10 sec: 7372.8, 60 sec: 9420.8, 300 sec: 9025.1). Total num frames: 4792320. Throughput: 0: 9409.4. Samples: 4800000. Policy #0 lag: (min: 13.0, avg: 15.7, max: 77.0)
+[2026-06-04 14:52:37,507][648971] Avg episode reward: [(0, '1030.600')]
+[2026-06-04 14:52:41,135][649981] Updated weights for policy 0, policy_version 9456 (0.0011)
+[2026-06-04 14:52:42,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9108.4). Total num frames: 4849664. Throughput: 0: 9432.2. Samples: 4855808. Policy #0 lag: (min: 13.0, avg: 15.7, max: 77.0)
+[2026-06-04 14:52:42,507][648971] Avg episode reward: [(0, '1022.100')]
+[2026-06-04 14:52:44,615][649981] Updated weights for policy 0, policy_version 9524 (0.0011)
+[2026-06-04 14:52:47,506][648971] Fps is (10 sec: 9011.2, 60 sec: 9284.3, 300 sec: 8997.3). Total num frames: 4882432. Throughput: 0: 9455.0. Samples: 4884992. Policy #0 lag: (min: 13.0, avg: 15.7, max: 77.0)
+[2026-06-04 14:52:47,507][648971] Avg episode reward: [(0, '1032.900')]
+[2026-06-04 14:52:51,162][649901] Signal inference workers to stop experience collection... (450 times)
+[2026-06-04 14:52:51,214][649981] InferenceWorker_p0-w0: stopping experience collection (450 times)
+[2026-06-04 14:52:51,230][649981] Updated weights for policy 0, policy_version 9603 (0.0010)
+[2026-06-04 14:52:51,311][649901] Signal inference workers to resume experience collection... (450 times)
+[2026-06-04 14:52:51,311][649981] InferenceWorker_p0-w0: resuming experience collection (450 times)
+[2026-06-04 14:52:52,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9420.8, 300 sec: 9108.4). Total num frames: 4947968. Throughput: 0: 9466.3. Samples: 4942848. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0)
+[2026-06-04 14:52:52,507][648971] Avg episode reward: [(0, '1146.500')]
+[2026-06-04 14:52:52,511][649901] Saving new best policy, reward=1146.500!
+[2026-06-04 14:52:55,025][649981] Updated weights for policy 0, policy_version 9712 (0.0011)
+[2026-06-04 14:52:57,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9108.4). Total num frames: 4980736. Throughput: 0: 9466.3. Samples: 4998144. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0)
+[2026-06-04 14:52:57,507][648971] Avg episode reward: [(0, '1285.400')]
+[2026-06-04 14:52:57,511][649901] Saving new best policy, reward=1285.400!
+[2026-06-04 14:52:58,652][649981] Updated weights for policy 0, policy_version 9792 (0.0008)
+[2026-06-04 14:53:02,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9108.4). Total num frames: 5046272. Throughput: 0: 9477.7. Samples: 5027328. Policy #0 lag: (min: 7.0, avg: 9.7, max: 71.0)
+[2026-06-04 14:53:02,507][648971] Avg episode reward: [(0, '1245.750')]
+[2026-06-04 14:53:05,396][649981] Updated weights for policy 0, policy_version 9913 (0.0008)
+[2026-06-04 14:53:07,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9108.4). Total num frames: 5079040. Throughput: 0: 9455.0. Samples: 5083136. Policy #0 lag: (min: 7.0, avg: 9.7, max: 71.0)
+[2026-06-04 14:53:07,507][648971] Avg episode reward: [(0, '1207.650')]
+[2026-06-04 14:53:11,842][649981] Updated weights for policy 0, policy_version 9985 (0.0011)
+[2026-06-04 14:53:12,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9219.5). Total num frames: 5144576. Throughput: 0: 9454.9. Samples: 5142528. Policy #0 lag: (min: 10.0, avg: 12.8, max: 74.0)
+[2026-06-04 14:53:12,507][648971] Avg episode reward: [(0, '1152.750')]
+[2026-06-04 14:53:15,695][649981] Updated weights for policy 0, policy_version 10096 (0.0010)
+[2026-06-04 14:53:17,507][648971] Fps is (10 sec: 9830.3, 60 sec: 9284.2, 300 sec: 9108.4). Total num frames: 5177344. Throughput: 0: 9477.7. Samples: 5170176. Policy #0 lag: (min: 10.0, avg: 12.8, max: 74.0)
+[2026-06-04 14:53:17,507][648971] Avg episode reward: [(0, '1278.850')]
+[2026-06-04 14:53:19,341][649981] Updated weights for policy 0, policy_version 10176 (0.0012)
+[2026-06-04 14:53:22,507][648971] Fps is (10 sec: 8191.9, 60 sec: 9557.3, 300 sec: 9163.9). Total num frames: 5226496. Throughput: 0: 9477.7. Samples: 5226496. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 14:53:22,507][648971] Avg episode reward: [(0, '1261.850')]
+[2026-06-04 14:53:22,755][649901] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed14/checkpoint_p0/checkpoint_000010240_5242880.pth...
+[2026-06-04 14:53:26,013][649981] Updated weights for policy 0, policy_version 10288 (0.0012)
+[2026-06-04 14:53:27,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 9219.5). Total num frames: 5275648. Throughput: 0: 9500.4. Samples: 5283328. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 14:53:27,507][648971] Avg episode reward: [(0, '1279.200')]
+[2026-06-04 14:53:29,848][649981] Updated weights for policy 0, policy_version 10368 (0.0007)
+[2026-06-04 14:53:32,506][648971] Fps is (10 sec: 8192.1, 60 sec: 9284.3, 300 sec: 9108.4). Total num frames: 5308416. Throughput: 0: 9443.5. Samples: 5309952. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0)
+[2026-06-04 14:53:32,507][648971] Avg episode reward: [(0, '1206.500')]
+[2026-06-04 14:53:36,626][649981] Updated weights for policy 0, policy_version 10480 (0.0007)
+[2026-06-04 14:53:37,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9693.9, 300 sec: 9219.5). Total num frames: 5373952. Throughput: 0: 9432.2. Samples: 5367296. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0)
+[2026-06-04 14:53:37,507][648971] Avg episode reward: [(0, '1322.750')]
+[2026-06-04 14:53:37,511][649901] Saving new best policy, reward=1322.750!
+[2026-06-04 14:53:42,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9219.5). Total num frames: 5406720. Throughput: 0: 9466.3. Samples: 5424128. Policy #0 lag: (min: 0.0, avg: 2.7, max: 64.0)
+[2026-06-04 14:53:42,507][648971] Avg episode reward: [(0, '1255.300')]
+[2026-06-04 14:53:43,291][649981] Updated weights for policy 0, policy_version 10576 (0.0010)
+[2026-06-04 14:53:46,729][649901] Signal inference workers to stop experience collection... (500 times)
+[2026-06-04 14:53:46,730][649981] Updated weights for policy 0, policy_version 10656 (0.0011)
+[2026-06-04 14:53:46,759][649981] InferenceWorker_p0-w0: stopping experience collection (500 times)
+[2026-06-04 14:53:46,842][649901] Signal inference workers to resume experience collection... (500 times)
+[2026-06-04 14:53:46,843][649981] InferenceWorker_p0-w0: resuming experience collection (500 times)
+[2026-06-04 14:53:47,507][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9219.5). Total num frames: 5472256. Throughput: 0: 9443.5. Samples: 5452288. Policy #0 lag: (min: 0.0, avg: 2.7, max: 64.0)
+[2026-06-04 14:53:47,507][648971] Avg episode reward: [(0, '1282.700')]
+[2026-06-04 14:53:50,299][649981] Updated weights for policy 0, policy_version 10747 (0.0010)
+[2026-06-04 14:53:52,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9219.5). Total num frames: 5505024. Throughput: 0: 9511.8. Samples: 5511168. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0)
+[2026-06-04 14:53:52,507][648971] Avg episode reward: [(0, '1263.100')]
+[2026-06-04 14:53:56,591][649981] Updated weights for policy 0, policy_version 10832 (0.0010)
+[2026-06-04 14:53:57,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9330.6). Total num frames: 5570560. Throughput: 0: 9523.2. Samples: 5571072. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0)
+[2026-06-04 14:53:57,507][648971] Avg episode reward: [(0, '1248.200')]
+[2026-06-04 14:54:00,454][649981] Updated weights for policy 0, policy_version 10937 (0.0012)
+[2026-06-04 14:54:02,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9219.5). Total num frames: 5603328. Throughput: 0: 9534.6. Samples: 5599232. Policy #0 lag: (min: 3.0, avg: 6.0, max: 67.0)
+[2026-06-04 14:54:02,507][648971] Avg episode reward: [(0, '1373.400')]
+[2026-06-04 14:54:02,511][649901] Saving new best policy, reward=1373.400!
+[2026-06-04 14:54:06,962][649981] Updated weights for policy 0, policy_version 11056 (0.0011)
+[2026-06-04 14:54:07,506][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9330.5). Total num frames: 5668864. Throughput: 0: 9568.7. Samples: 5657088. Policy #0 lag: (min: 3.0, avg: 6.0, max: 67.0)
+[2026-06-04 14:54:07,507][648971] Avg episode reward: [(0, '1488.600')]
+[2026-06-04 14:54:07,511][649901] Saving new best policy, reward=1488.600!
+[2026-06-04 14:54:10,561][649981] Updated weights for policy 0, policy_version 11136 (0.0010)
+[2026-06-04 14:54:12,506][648971] Fps is (10 sec: 9830.3, 60 sec: 9284.3, 300 sec: 9330.5). Total num frames: 5701632. Throughput: 0: 9614.2. Samples: 5715968. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:54:12,507][648971] Avg episode reward: [(0, '1581.500')]
+[2026-06-04 14:54:12,511][649901] Saving new best policy, reward=1581.500!
+[2026-06-04 14:54:16,977][649981] Updated weights for policy 0, policy_version 11232 (0.0010)
+[2026-06-04 14:54:17,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9330.6). Total num frames: 5767168. Throughput: 0: 9671.1. Samples: 5745152. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:54:17,507][648971] Avg episode reward: [(0, '1689.900')]
+[2026-06-04 14:54:17,511][649901] Saving new best policy, reward=1689.900!
+[2026-06-04 14:54:20,634][649981] Updated weights for policy 0, policy_version 11322 (0.0012)
+[2026-06-04 14:54:22,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9557.3, 300 sec: 9330.5). Total num frames: 5799936. Throughput: 0: 9682.5. Samples: 5803008. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:54:22,507][648971] Avg episode reward: [(0, '1886.200')]
+[2026-06-04 14:54:22,511][649901] Saving new best policy, reward=1886.200!
+[2026-06-04 14:54:27,188][649981] Updated weights for policy 0, policy_version 11424 (0.0011)
+[2026-06-04 14:54:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 5865472. Throughput: 0: 9728.0. Samples: 5861888. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:54:27,507][648971] Avg episode reward: [(0, '1848.900')]
+[2026-06-04 14:54:30,706][649981] Updated weights for policy 0, policy_version 11514 (0.0011)
+[2026-06-04 14:54:32,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9330.5). Total num frames: 5898240. Throughput: 0: 9773.5. Samples: 5892096. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:54:32,507][648971] Avg episode reward: [(0, '1908.450')]
+[2026-06-04 14:54:32,511][649901] Saving new best policy, reward=1908.450!
+[2026-06-04 14:54:37,477][649981] Updated weights for policy 0, policy_version 11632 (0.0011)
+[2026-06-04 14:54:37,506][648971] Fps is (10 sec: 9011.1, 60 sec: 9693.9, 300 sec: 9413.9). Total num frames: 5955584. Throughput: 0: 9728.0. Samples: 5948928. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:54:37,507][648971] Avg episode reward: [(0, '1943.750')]
+[2026-06-04 14:54:37,656][649901] Saving new best policy, reward=1943.750!
+[2026-06-04 14:54:41,114][649981] Updated weights for policy 0, policy_version 11712 (0.0011)
+[2026-06-04 14:54:42,507][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9386.1). Total num frames: 5996544. Throughput: 0: 9648.3. Samples: 6005248. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0)
+[2026-06-04 14:54:42,507][648971] Avg episode reward: [(0, '2012.850')]
+[2026-06-04 14:54:42,511][649901] Saving new best policy, reward=2012.850!
+[2026-06-04 14:54:43,981][649901] Signal inference workers to stop experience collection... (550 times)
+[2026-06-04 14:54:44,011][649981] InferenceWorker_p0-w0: stopping experience collection (550 times)
+[2026-06-04 14:54:44,095][649901] Signal inference workers to resume experience collection... (550 times)
+[2026-06-04 14:54:44,095][649981] InferenceWorker_p0-w0: resuming experience collection (550 times)
+[2026-06-04 14:54:47,506][648971] Fps is (10 sec: 8192.0, 60 sec: 9420.8, 300 sec: 9358.3). Total num frames: 6037504. Throughput: 0: 9671.1. Samples: 6034432. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0)
+[2026-06-04 14:54:47,507][648971] Avg episode reward: [(0, '2184.250')]
+[2026-06-04 14:54:47,640][649981] Updated weights for policy 0, policy_version 11824 (0.0010)
+[2026-06-04 14:54:47,845][649901] Saving new best policy, reward=2184.250!
+[2026-06-04 14:54:51,142][649981] Updated weights for policy 0, policy_version 11901 (0.0008)
+[2026-06-04 14:54:52,507][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 6094848. Throughput: 0: 9728.0. Samples: 6094848. Policy #0 lag: (min: 12.0, avg: 15.8, max: 76.0)
+[2026-06-04 14:54:52,507][648971] Avg episode reward: [(0, '2114.400')]
+[2026-06-04 14:54:57,506][649981] Updated weights for policy 0, policy_version 11984 (0.0007)
+[2026-06-04 14:54:57,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9420.8, 300 sec: 9358.3). Total num frames: 6135808. Throughput: 0: 9693.9. Samples: 6152192. Policy #0 lag: (min: 12.0, avg: 15.8, max: 76.0)
+[2026-06-04 14:54:57,507][648971] Avg episode reward: [(0, '2018.350')]
+[2026-06-04 14:55:01,242][649981] Updated weights for policy 0, policy_version 12084 (0.0012)
+[2026-06-04 14:55:02,507][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 6193152. Throughput: 0: 9671.1. Samples: 6180352. Policy #0 lag: (min: 5.0, avg: 8.3, max: 69.0)
+[2026-06-04 14:55:02,507][648971] Avg episode reward: [(0, '1967.050')]
+[2026-06-04 14:55:04,641][649981] Updated weights for policy 0, policy_version 12160 (0.0011)
+[2026-06-04 14:55:07,507][648971] Fps is (10 sec: 9011.1, 60 sec: 9284.3, 300 sec: 9441.6). Total num frames: 6225920. Throughput: 0: 9682.5. Samples: 6238720. Policy #0 lag: (min: 5.0, avg: 8.3, max: 69.0)
+[2026-06-04 14:55:07,507][648971] Avg episode reward: [(0, '1962.600')]
+[2026-06-04 14:55:11,130][649981] Updated weights for policy 0, policy_version 12256 (0.0009)
+[2026-06-04 14:55:12,507][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 6291456. Throughput: 0: 9659.7. Samples: 6296576. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0)
+[2026-06-04 14:55:12,508][648971] Avg episode reward: [(0, '2064.500')]
+[2026-06-04 14:55:14,746][649981] Updated weights for policy 0, policy_version 12344 (0.0006)
+[2026-06-04 14:55:17,507][648971] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9441.6). Total num frames: 6324224. Throughput: 0: 9648.4. Samples: 6326272. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0)
+[2026-06-04 14:55:17,508][648971] Avg episode reward: [(0, '2062.650')]
+[2026-06-04 14:55:18,258][649981] Updated weights for policy 0, policy_version 12413 (0.0009)
+[2026-06-04 14:55:22,507][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 6389760. Throughput: 0: 9693.9. Samples: 6385152. Policy #0 lag: (min: 9.0, avg: 13.3, max: 73.0)
+[2026-06-04 14:55:22,507][648971] Avg episode reward: [(0, '2123.400')]
+[2026-06-04 14:55:24,473][649981] Updated weights for policy 0, policy_version 12496 (0.0009)
+[2026-06-04 14:55:27,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 9441.6). Total num frames: 6422528. Throughput: 0: 9750.8. Samples: 6444032. Policy #0 lag: (min: 9.0, avg: 13.3, max: 73.0)
+[2026-06-04 14:55:27,507][648971] Avg episode reward: [(0, '2173.600')]
+[2026-06-04 14:55:28,065][649981] Updated weights for policy 0, policy_version 12596 (0.0010)
+[2026-06-04 14:55:31,525][649981] Updated weights for policy 0, policy_version 12671 (0.0009)
+[2026-06-04 14:55:32,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 6488064. Throughput: 0: 9762.1. Samples: 6473728. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0)
+[2026-06-04 14:55:32,507][648971] Avg episode reward: [(0, '2298.850')]
+[2026-06-04 14:55:32,511][649901] Saving new best policy, reward=2298.850!
+[2026-06-04 14:55:37,507][648971] Fps is (10 sec: 9830.3, 60 sec: 9420.8, 300 sec: 9441.6). Total num frames: 6520832. Throughput: 0: 9682.5. Samples: 6530560. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0)
+[2026-06-04 14:55:37,508][648971] Avg episode reward: [(0, '2397.500')]
+[2026-06-04 14:55:37,511][649901] Saving new best policy, reward=2397.500!
+[2026-06-04 14:55:37,984][649981] Updated weights for policy 0, policy_version 12753 (0.0009)
+[2026-06-04 14:55:41,142][649901] Signal inference workers to stop experience collection... (600 times)
+[2026-06-04 14:55:41,168][649981] InferenceWorker_p0-w0: stopping experience collection (600 times)
+[2026-06-04 14:55:41,277][649901] Signal inference workers to resume experience collection... (600 times)
+[2026-06-04 14:55:41,278][649981] InferenceWorker_p0-w0: resuming experience collection (600 times)
+[2026-06-04 14:55:41,542][649981] Updated weights for policy 0, policy_version 12848 (0.0010)
+[2026-06-04 14:55:42,507][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 6586368. Throughput: 0: 9693.8. Samples: 6588416. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0)
+[2026-06-04 14:55:42,508][648971] Avg episode reward: [(0, '2504.450')]
+[2026-06-04 14:55:42,512][649901] Saving new best policy, reward=2504.450!
+[2026-06-04 14:55:45,008][649981] Updated weights for policy 0, policy_version 12928 (0.0009)
+[2026-06-04 14:55:47,507][648971] Fps is (10 sec: 9830.5, 60 sec: 9693.9, 300 sec: 9524.9). Total num frames: 6619136. Throughput: 0: 9762.1. Samples: 6619648. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0)
+[2026-06-04 14:55:47,507][648971] Avg episode reward: [(0, '2501.200')]
+[2026-06-04 14:55:51,346][649981] Updated weights for policy 0, policy_version 13024 (0.0010)
+[2026-06-04 14:55:52,506][648971] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 6684672. Throughput: 0: 9784.9. Samples: 6679040. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0)
+[2026-06-04 14:55:52,507][648971] Avg episode reward: [(0, '2457.900')]
+[2026-06-04 14:55:54,834][649981] Updated weights for policy 0, policy_version 13118 (0.0011)
+[2026-06-04 14:55:57,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9693.9, 300 sec: 9552.7). Total num frames: 6717440. Throughput: 0: 9853.2. Samples: 6739968. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0)
+[2026-06-04 14:55:57,507][648971] Avg episode reward: [(0, '2489.750')]
+[2026-06-04 14:56:01,081][649981] Updated weights for policy 0, policy_version 13201 (0.0008)
+[2026-06-04 14:56:02,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 6782976. Throughput: 0: 9841.8. Samples: 6769152. Policy #0 lag: (min: 13.0, avg: 15.8, max: 77.0)
+[2026-06-04 14:56:02,507][648971] Avg episode reward: [(0, '2403.800')]
+[2026-06-04 14:56:04,481][649981] Updated weights for policy 0, policy_version 13296 (0.0010)
+[2026-06-04 14:56:07,506][648971] Fps is (10 sec: 10649.6, 60 sec: 9966.9, 300 sec: 9580.5). Total num frames: 6823936. Throughput: 0: 9875.9. Samples: 6829568. Policy #0 lag: (min: 13.0, avg: 15.8, max: 77.0)
+[2026-06-04 14:56:07,507][648971] Avg episode reward: [(0, '2570.000')]
+[2026-06-04 14:56:07,701][649901] Saving new best policy, reward=2570.000!
+[2026-06-04 14:56:07,910][649981] Updated weights for policy 0, policy_version 13376 (0.0010)
+[2026-06-04 14:56:12,507][648971] Fps is (10 sec: 9830.1, 60 sec: 9830.4, 300 sec: 9580.5). Total num frames: 6881280. Throughput: 0: 9910.0. Samples: 6889984. Policy #0 lag: (min: 35.0, avg: 38.0, max: 99.0)
+[2026-06-04 14:56:12,508][648971] Avg episode reward: [(0, '2599.200')]
+[2026-06-04 14:56:12,512][649901] Saving new best policy, reward=2599.200!
+[2026-06-04 14:56:14,276][649981] Updated weights for policy 0, policy_version 13472 (0.0006)
+[2026-06-04 14:56:17,506][648971] Fps is (10 sec: 9011.3, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 6914048. Throughput: 0: 9853.2. Samples: 6917120. Policy #0 lag: (min: 35.0, avg: 38.0, max: 99.0)
+[2026-06-04 14:56:17,507][648971] Avg episode reward: [(0, '2510.000')]
+[2026-06-04 14:56:17,886][649981] Updated weights for policy 0, policy_version 13561 (0.0010)
+[2026-06-04 14:56:21,426][649981] Updated weights for policy 0, policy_version 13632 (0.0009)
+[2026-06-04 14:56:22,506][648971] Fps is (10 sec: 9830.7, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 6979584. Throughput: 0: 9932.8. Samples: 6977536. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 14:56:22,507][648971] Avg episode reward: [(0, '2535.950')]
+[2026-06-04 14:56:27,506][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 7012352. Throughput: 0: 9944.2. Samples: 7035904. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 14:56:27,507][648971] Avg episode reward: [(0, '2613.450')]
+[2026-06-04 14:56:27,749][649901] Saving new best policy, reward=2613.450!
+[2026-06-04 14:56:27,932][649981] Updated weights for policy 0, policy_version 13748 (0.0011)
+[2026-06-04 14:56:31,388][649981] Updated weights for policy 0, policy_version 13824 (0.0009)
+[2026-06-04 14:56:32,507][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 7077888. Throughput: 0: 9887.3. Samples: 7064576. Policy #0 lag: (min: 31.0, avg: 33.8, max: 95.0)
+[2026-06-04 14:56:32,507][648971] Avg episode reward: [(0, '2751.100')]
+[2026-06-04 14:56:32,512][649901] Saving new best policy, reward=2751.100!
+[2026-06-04 14:56:34,109][649901] Signal inference workers to stop experience collection... (650 times)
+[2026-06-04 14:56:34,138][649981] InferenceWorker_p0-w0: stopping experience collection (650 times)
+[2026-06-04 14:56:34,216][649901] Signal inference workers to resume experience collection... (650 times)
+[2026-06-04 14:56:34,217][649981] InferenceWorker_p0-w0: resuming experience collection (650 times)
+[2026-06-04 14:56:37,481][649981] Updated weights for policy 0, policy_version 13936 (0.0010)
+[2026-06-04 14:56:37,506][648971] Fps is (10 sec: 12287.9, 60 sec: 10240.0, 300 sec: 9636.0). Total num frames: 7135232. Throughput: 0: 9932.8. Samples: 7126016. Policy #0 lag: (min: 31.0, avg: 33.8, max: 95.0)
+[2026-06-04 14:56:37,507][648971] Avg episode reward: [(0, '2833.350')]
+[2026-06-04 14:56:37,664][649901] Saving new best policy, reward=2833.350!
+[2026-06-04 14:56:41,096][649981] Updated weights for policy 0, policy_version 14016 (0.0009)
+[2026-06-04 14:56:42,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 7176192. Throughput: 0: 9875.9. Samples: 7184384. Policy #0 lag: (min: 31.0, avg: 33.8, max: 95.0)
+[2026-06-04 14:56:42,507][648971] Avg episode reward: [(0, '2828.250')]
+[2026-06-04 14:56:47,506][648971] Fps is (10 sec: 9011.3, 60 sec: 10103.5, 300 sec: 9636.0). Total num frames: 7225344. Throughput: 0: 9887.3. Samples: 7214080. Policy #0 lag: (min: 7.0, avg: 10.5, max: 71.0)
+[2026-06-04 14:56:47,507][648971] Avg episode reward: [(0, '2661.850')]
+[2026-06-04 14:56:47,529][649981] Updated weights for policy 0, policy_version 14128 (0.0011)
+[2026-06-04 14:56:51,319][649981] Updated weights for policy 0, policy_version 14208 (0.0012)
+[2026-06-04 14:56:52,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 7274496. Throughput: 0: 9864.5. Samples: 7273472. Policy #0 lag: (min: 7.0, avg: 10.5, max: 71.0)
+[2026-06-04 14:56:52,507][648971] Avg episode reward: [(0, '2575.500')]
+[2026-06-04 14:56:57,506][648971] Fps is (10 sec: 8192.0, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 7307264. Throughput: 0: 9796.3. Samples: 7330816. Policy #0 lag: (min: 31.0, avg: 35.3, max: 95.0)
+[2026-06-04 14:56:57,507][648971] Avg episode reward: [(0, '2512.100')]
+[2026-06-04 14:56:57,633][649981] Updated weights for policy 0, policy_version 14289 (0.0009)
+[2026-06-04 14:57:01,219][649981] Updated weights for policy 0, policy_version 14388 (0.0009)
+[2026-06-04 14:57:02,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 7372800. Throughput: 0: 9864.5. Samples: 7361024. Policy #0 lag: (min: 31.0, avg: 35.3, max: 95.0)
+[2026-06-04 14:57:02,507][648971] Avg episode reward: [(0, '2782.850')]
+[2026-06-04 14:57:07,507][648971] Fps is (10 sec: 9830.3, 60 sec: 9693.8, 300 sec: 9663.8). Total num frames: 7405568. Throughput: 0: 9784.9. Samples: 7417856. Policy #0 lag: (min: 31.0, avg: 35.3, max: 95.0)
+[2026-06-04 14:57:07,507][648971] Avg episode reward: [(0, '2859.400')]
+[2026-06-04 14:57:07,642][649981] Updated weights for policy 0, policy_version 14480 (0.0010)
+[2026-06-04 14:57:07,769][649901] Saving new best policy, reward=2859.400!
+[2026-06-04 14:57:11,240][649981] Updated weights for policy 0, policy_version 14583 (0.0009)
+[2026-06-04 14:57:12,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 7471104. Throughput: 0: 9784.9. Samples: 7476224. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:57:12,507][648971] Avg episode reward: [(0, '2946.150')]
+[2026-06-04 14:57:12,511][649901] Saving new best policy, reward=2946.150!
+[2026-06-04 14:57:14,618][649981] Updated weights for policy 0, policy_version 14656 (0.0006)
+[2026-06-04 14:57:17,506][648971] Fps is (10 sec: 10649.7, 60 sec: 9966.9, 300 sec: 9691.6). Total num frames: 7512064. Throughput: 0: 9841.8. Samples: 7507456. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:57:17,507][648971] Avg episode reward: [(0, '3126.500')]
+[2026-06-04 14:57:17,674][649901] Saving new best policy, reward=3126.500!
+[2026-06-04 14:57:20,709][649981] Updated weights for policy 0, policy_version 14752 (0.0011)
+[2026-06-04 14:57:22,507][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 7569408. Throughput: 0: 9875.9. Samples: 7570432. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0)
+[2026-06-04 14:57:22,507][648971] Avg episode reward: [(0, '3060.350')]
+[2026-06-04 14:57:24,197][649981] Updated weights for policy 0, policy_version 14839 (0.0010)
+[2026-06-04 14:57:27,506][648971] Fps is (10 sec: 10649.6, 60 sec: 10103.5, 300 sec: 9719.3). Total num frames: 7618560. Throughput: 0: 9875.9. Samples: 7628800. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0)
+[2026-06-04 14:57:27,507][648971] Avg episode reward: [(0, '3046.350')]
+[2026-06-04 14:57:30,639][649981] Updated weights for policy 0, policy_version 14928 (0.0010)
+[2026-06-04 14:57:30,639][649901] Signal inference workers to stop experience collection... (700 times)
+[2026-06-04 14:57:30,668][649981] InferenceWorker_p0-w0: stopping experience collection (700 times)
+[2026-06-04 14:57:30,752][649901] Signal inference workers to resume experience collection... (700 times)
+[2026-06-04 14:57:30,752][649981] InferenceWorker_p0-w0: resuming experience collection (700 times)
+[2026-06-04 14:57:32,507][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9747.1). Total num frames: 7667712. Throughput: 0: 9875.9. Samples: 7658496. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0)
+[2026-06-04 14:57:32,508][648971] Avg episode reward: [(0, '3169.850')]
+[2026-06-04 14:57:32,512][649901] Saving new best policy, reward=3169.850!
+[2026-06-04 14:57:34,220][649981] Updated weights for policy 0, policy_version 15025 (0.0010)
+[2026-06-04 14:57:37,506][648971] Fps is (10 sec: 11468.8, 60 sec: 9967.0, 300 sec: 9774.9). Total num frames: 7733248. Throughput: 0: 9864.5. Samples: 7717376. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0)
+[2026-06-04 14:57:37,507][648971] Avg episode reward: [(0, '3121.600')]
+[2026-06-04 14:57:37,515][649981] Updated weights for policy 0, policy_version 15104 (0.0011)
+[2026-06-04 14:57:42,507][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 7766016. Throughput: 0: 9932.8. Samples: 7777792. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0)
+[2026-06-04 14:57:42,507][648971] Avg episode reward: [(0, '2988.900')]
+[2026-06-04 14:57:43,847][649981] Updated weights for policy 0, policy_version 15200 (0.0011)
+[2026-06-04 14:57:47,506][648971] Fps is (10 sec: 9011.2, 60 sec: 9966.9, 300 sec: 9747.1). Total num frames: 7823360. Throughput: 0: 9898.7. Samples: 7806464. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0)
+[2026-06-04 14:57:47,507][648971] Avg episode reward: [(0, '2994.550')]
+[2026-06-04 14:57:47,565][649981] Updated weights for policy 0, policy_version 15284 (0.0010)
+[2026-06-04 14:57:50,977][649981] Updated weights for policy 0, policy_version 15360 (0.0011)
+[2026-06-04 14:57:52,507][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 7864320. Throughput: 0: 9944.2. Samples: 7865344. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0)
+[2026-06-04 14:57:52,508][648971] Avg episode reward: [(0, '2784.800')]
+[2026-06-04 14:57:57,014][649981] Updated weights for policy 0, policy_version 15440 (0.0010)
+[2026-06-04 14:57:57,507][648971] Fps is (10 sec: 10649.4, 60 sec: 10376.5, 300 sec: 9774.9). Total num frames: 7929856. Throughput: 0: 10001.0. Samples: 7926272. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0)
+[2026-06-04 14:57:57,508][648971] Avg episode reward: [(0, '2805.850')]
+[2026-06-04 14:58:00,579][649981] Updated weights for policy 0, policy_version 15536 (0.0011)
+[2026-06-04 14:58:02,507][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 7962624. Throughput: 0: 9978.3. Samples: 7956480. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:58:02,508][648971] Avg episode reward: [(0, '2896.250')]
+[2026-06-04 14:58:04,023][649981] Updated weights for policy 0, policy_version 15608 (0.0011)
+[2026-06-04 14:58:07,507][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9774.9). Total num frames: 8028160. Throughput: 0: 9910.0. Samples: 8016384. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:58:07,508][648971] Avg episode reward: [(0, '3217.150')]
+[2026-06-04 14:58:07,512][649901] Saving new best policy, reward=3217.150!
+[2026-06-04 14:58:10,207][649981] Updated weights for policy 0, policy_version 15696 (0.0010)
+[2026-06-04 14:58:12,507][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 8060928. Throughput: 0: 9910.0. Samples: 8074752. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:58:12,507][648971] Avg episode reward: [(0, '3406.250')]
+[2026-06-04 14:58:12,511][649901] Saving new best policy, reward=3406.250!
+[2026-06-04 14:58:13,764][649981] Updated weights for policy 0, policy_version 15792 (0.0010)
+[2026-06-04 14:58:17,183][649981] Updated weights for policy 0, policy_version 15872 (0.0010)
+[2026-06-04 14:58:17,506][648971] Fps is (10 sec: 9830.5, 60 sec: 10240.0, 300 sec: 9830.4). Total num frames: 8126464. Throughput: 0: 9898.7. Samples: 8103936. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:58:17,507][648971] Avg episode reward: [(0, '3527.600')]
+[2026-06-04 14:58:17,511][649901] Saving new best policy, reward=3527.600!
+[2026-06-04 14:58:22,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 8159232. Throughput: 0: 9932.8. Samples: 8164352. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:58:22,507][648971] Avg episode reward: [(0, '3673.650')]
+[2026-06-04 14:58:22,511][649901] Saving new best policy, reward=3673.650!
+[2026-06-04 14:58:23,472][649981] Updated weights for policy 0, policy_version 15986 (0.0011)
+[2026-06-04 14:58:26,312][649901] Signal inference workers to stop experience collection... (750 times)
+[2026-06-04 14:58:26,339][649981] InferenceWorker_p0-w0: stopping experience collection (750 times)
+[2026-06-04 14:58:26,443][649901] Signal inference workers to resume experience collection... (750 times)
+[2026-06-04 14:58:26,443][649981] InferenceWorker_p0-w0: resuming experience collection (750 times)
+[2026-06-04 14:58:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10103.5, 300 sec: 9885.9). Total num frames: 8224768. Throughput: 0: 9955.6. Samples: 8225792. Policy #0 lag: (min: 2.0, avg: 5.8, max: 66.0)
+[2026-06-04 14:58:27,507][648971] Avg episode reward: [(0, '3610.150')]
+[2026-06-04 14:58:29,651][649981] Updated weights for policy 0, policy_version 16080 (0.0010)
+[2026-06-04 14:58:32,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 8257536. Throughput: 0: 10035.2. Samples: 8258048. Policy #0 lag: (min: 2.0, avg: 5.8, max: 66.0)
+[2026-06-04 14:58:32,507][648971] Avg episode reward: [(0, '3553.950')]
+[2026-06-04 14:58:33,197][649981] Updated weights for policy 0, policy_version 16179 (0.0010)
+[2026-06-04 14:58:36,562][649981] Updated weights for policy 0, policy_version 16256 (0.0010)
+[2026-06-04 14:58:37,507][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 8323072. Throughput: 0: 10057.9. Samples: 8317952. Policy #0 lag: (min: 2.0, avg: 5.8, max: 66.0)
+[2026-06-04 14:58:37,507][648971] Avg episode reward: [(0, '3597.700')]
+[2026-06-04 14:58:42,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 8355840. Throughput: 0: 10069.4. Samples: 8379392. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:58:42,507][648971] Avg episode reward: [(0, '3677.200')]
+[2026-06-04 14:58:42,741][649901] Saving new best policy, reward=3677.200!
+[2026-06-04 14:58:43,045][649981] Updated weights for policy 0, policy_version 16381 (0.0010)
+[2026-06-04 14:58:47,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9966.9, 300 sec: 9885.9). Total num frames: 8421376. Throughput: 0: 10035.2. Samples: 8408064. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:58:47,507][648971] Avg episode reward: [(0, '3543.000')]
+[2026-06-04 14:58:49,200][649981] Updated weights for policy 0, policy_version 16464 (0.0010)
+[2026-06-04 14:58:52,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 8454144. Throughput: 0: 10023.8. Samples: 8467456. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 14:58:52,507][648971] Avg episode reward: [(0, '3386.300')]
+[2026-06-04 14:58:52,869][649981] Updated weights for policy 0, policy_version 16564 (0.0010)
+[2026-06-04 14:58:57,506][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 8519680. Throughput: 0: 10012.5. Samples: 8525312. Policy #0 lag: (min: 5.0, avg: 8.5, max: 69.0)
+[2026-06-04 14:58:57,507][648971] Avg episode reward: [(0, '3377.600')]
+[2026-06-04 14:58:59,312][649981] Updated weights for policy 0, policy_version 16656 (0.0010)
+[2026-06-04 14:59:02,506][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 8552448. Throughput: 0: 10001.1. Samples: 8553984. Policy #0 lag: (min: 5.0, avg: 8.5, max: 69.0)
+[2026-06-04 14:59:02,507][648971] Avg episode reward: [(0, '3275.050')]
+[2026-06-04 14:59:02,842][649981] Updated weights for policy 0, policy_version 16756 (0.0010)
+[2026-06-04 14:59:06,218][649981] Updated weights for policy 0, policy_version 16827 (0.0006)
+[2026-06-04 14:59:07,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 8617984. Throughput: 0: 10069.3. Samples: 8617472. Policy #0 lag: (min: 5.0, avg: 7.8, max: 69.0)
+[2026-06-04 14:59:07,507][648971] Avg episode reward: [(0, '3433.350')]
+[2026-06-04 14:59:12,405][649981] Updated weights for policy 0, policy_version 16928 (0.0006)
+[2026-06-04 14:59:12,506][648971] Fps is (10 sec: 11468.9, 60 sec: 10103.5, 300 sec: 9830.4). Total num frames: 8667136. Throughput: 0: 10023.8. Samples: 8676864. Policy #0 lag: (min: 5.0, avg: 7.8, max: 69.0)
+[2026-06-04 14:59:12,507][648971] Avg episode reward: [(0, '3755.600')]
+[2026-06-04 14:59:12,712][649901] Saving new best policy, reward=3755.600!
+[2026-06-04 14:59:15,876][649981] Updated weights for policy 0, policy_version 17008 (0.0010)
+[2026-06-04 14:59:17,507][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 8716288. Throughput: 0: 9978.3. Samples: 8707072. Policy #0 lag: (min: 5.0, avg: 7.8, max: 69.0)
+[2026-06-04 14:59:17,508][648971] Avg episode reward: [(0, '3692.850')]
+[2026-06-04 14:59:18,881][649901] Signal inference workers to stop experience collection... (800 times)
+[2026-06-04 14:59:18,911][649981] InferenceWorker_p0-w0: stopping experience collection (800 times)
+[2026-06-04 14:59:19,021][649901] Signal inference workers to resume experience collection... (800 times)
+[2026-06-04 14:59:19,021][649981] InferenceWorker_p0-w0: resuming experience collection (800 times)
+[2026-06-04 14:59:19,153][649981] Updated weights for policy 0, policy_version 17082 (0.0010)
+[2026-06-04 14:59:22,507][648971] Fps is (10 sec: 11468.7, 60 sec: 10376.5, 300 sec: 9885.9). Total num frames: 8781824. Throughput: 0: 10012.5. Samples: 8768512. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0)
+[2026-06-04 14:59:22,507][648971] Avg episode reward: [(0, '3944.400')]
+[2026-06-04 14:59:22,511][649901] Saving new best policy, reward=3944.400!
+[2026-06-04 14:59:25,155][649981] Updated weights for policy 0, policy_version 17169 (0.0013)
+[2026-06-04 14:59:27,506][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 8814592. Throughput: 0: 9989.7. Samples: 8828928. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0)
+[2026-06-04 14:59:27,507][648971] Avg episode reward: [(0, '4019.650')]
+[2026-06-04 14:59:27,511][649901] Saving new best policy, reward=4019.650!
+[2026-06-04 14:59:28,661][649981] Updated weights for policy 0, policy_version 17264 (0.0012)
+[2026-06-04 14:59:32,107][649981] Updated weights for policy 0, policy_version 17344 (0.0011)
+[2026-06-04 14:59:32,507][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9913.7). Total num frames: 8880128. Throughput: 0: 10035.2. Samples: 8859648. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0)
+[2026-06-04 14:59:32,507][648971] Avg episode reward: [(0, '4104.250')]
+[2026-06-04 14:59:32,511][649901] Saving new best policy, reward=4104.250!
+[2026-06-04 14:59:37,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 8912896. Throughput: 0: 10069.3. Samples: 8920576. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0)
+[2026-06-04 14:59:37,507][648971] Avg episode reward: [(0, '4042.700')]
+[2026-06-04 14:59:37,914][649981] Updated weights for policy 0, policy_version 17424 (0.0009)
+[2026-06-04 14:59:41,333][649981] Updated weights for policy 0, policy_version 17504 (0.0010)
+[2026-06-04 14:59:42,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9969.2). Total num frames: 8978432. Throughput: 0: 10137.6. Samples: 8981504. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0)
+[2026-06-04 14:59:42,507][648971] Avg episode reward: [(0, '3888.200')]
+[2026-06-04 14:59:44,880][649981] Updated weights for policy 0, policy_version 17595 (0.0010)
+[2026-06-04 14:59:47,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 9011200. Throughput: 0: 10194.5. Samples: 9012736. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0)
+[2026-06-04 14:59:47,507][648971] Avg episode reward: [(0, '3798.350')]
+[2026-06-04 14:59:50,960][649981] Updated weights for policy 0, policy_version 17680 (0.0010)
+[2026-06-04 14:59:52,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9969.2). Total num frames: 9076736. Throughput: 0: 10137.6. Samples: 9073664. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0)
+[2026-06-04 14:59:52,507][648971] Avg episode reward: [(0, '3617.600')]
+[2026-06-04 14:59:54,327][649981] Updated weights for policy 0, policy_version 17760 (0.0008)
+[2026-06-04 14:59:57,446][649981] Updated weights for policy 0, policy_version 17843 (0.0006)
+[2026-06-04 14:59:57,506][648971] Fps is (10 sec: 12288.0, 60 sec: 10240.0, 300 sec: 9969.3). Total num frames: 9134080. Throughput: 0: 10228.6. Samples: 9137152. Policy #0 lag: (min: 0.0, avg: 4.4, max: 64.0)
+[2026-06-04 14:59:57,507][648971] Avg episode reward: [(0, '3585.600')]
+[2026-06-04 15:00:00,726][649981] Updated weights for policy 0, policy_version 17920 (0.0009)
+[2026-06-04 15:00:02,506][648971] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 9175040. Throughput: 0: 10262.8. Samples: 9168896. Policy #0 lag: (min: 0.0, avg: 4.4, max: 64.0)
+[2026-06-04 15:00:02,507][648971] Avg episode reward: [(0, '3870.550')]
+[2026-06-04 15:00:06,964][649981] Updated weights for policy 0, policy_version 18032 (0.0009)
+[2026-06-04 15:00:07,506][648971] Fps is (10 sec: 10649.6, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 9240576. Throughput: 0: 10262.8. Samples: 9230336. Policy #0 lag: (min: 0.0, avg: 4.4, max: 64.0)
+[2026-06-04 15:00:07,507][648971] Avg episode reward: [(0, '3965.800')]
+[2026-06-04 15:00:10,259][649981] Updated weights for policy 0, policy_version 18106 (0.0005)
+[2026-06-04 15:00:12,506][648971] Fps is (10 sec: 9830.3, 60 sec: 10103.5, 300 sec: 9997.0). Total num frames: 9273344. Throughput: 0: 10285.5. Samples: 9291776. Policy #0 lag: (min: 3.0, avg: 6.7, max: 67.0)
+[2026-06-04 15:00:12,507][648971] Avg episode reward: [(0, '4144.150')]
+[2026-06-04 15:00:12,512][649901] Saving new best policy, reward=4144.150!
+[2026-06-04 15:00:13,096][649901] Signal inference workers to stop experience collection... (850 times)
+[2026-06-04 15:00:13,123][649981] InferenceWorker_p0-w0: stopping experience collection (850 times)
+[2026-06-04 15:00:13,232][649901] Signal inference workers to resume experience collection... (850 times)
+[2026-06-04 15:00:13,233][649981] InferenceWorker_p0-w0: resuming experience collection (850 times)
+[2026-06-04 15:00:13,526][649981] Updated weights for policy 0, policy_version 18172 (0.0006)
+[2026-06-04 15:00:16,721][649981] Updated weights for policy 0, policy_version 18240 (0.0005)
+[2026-06-04 15:00:17,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 9338880. Throughput: 0: 10262.8. Samples: 9321472. Policy #0 lag: (min: 3.0, avg: 6.7, max: 67.0)
+[2026-06-04 15:00:17,507][648971] Avg episode reward: [(0, '4238.600')]
+[2026-06-04 15:00:17,511][649901] Saving new best policy, reward=4238.600!
+[2026-06-04 15:00:22,482][649981] Updated weights for policy 0, policy_version 18337 (0.0010)
+[2026-06-04 15:00:22,506][648971] Fps is (10 sec: 11468.9, 60 sec: 10103.5, 300 sec: 10052.6). Total num frames: 9388032. Throughput: 0: 10308.3. Samples: 9384448. Policy #0 lag: (min: 3.0, avg: 6.7, max: 67.0)
+[2026-06-04 15:00:22,507][648971] Avg episode reward: [(0, '4371.000')]
+[2026-06-04 15:00:22,745][649901] Saving new best policy, reward=4371.000!
+[2026-06-04 15:00:25,931][649981] Updated weights for policy 0, policy_version 18432 (0.0013)
+[2026-06-04 15:00:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 9437184. Throughput: 0: 10342.4. Samples: 9446912. Policy #0 lag: (min: 38.0, avg: 41.4, max: 102.0)
+[2026-06-04 15:00:27,507][648971] Avg episode reward: [(0, '4382.900')]
+[2026-06-04 15:00:27,511][649901] Saving new best policy, reward=4382.900!
+[2026-06-04 15:00:29,231][649981] Updated weights for policy 0, policy_version 18496 (0.0010)
+[2026-06-04 15:00:32,506][648971] Fps is (10 sec: 11468.8, 60 sec: 10376.6, 300 sec: 10108.1). Total num frames: 9502720. Throughput: 0: 10365.2. Samples: 9479168. Policy #0 lag: (min: 38.0, avg: 41.4, max: 102.0)
+[2026-06-04 15:00:32,507][648971] Avg episode reward: [(0, '4479.500')]
+[2026-06-04 15:00:32,511][649901] Saving new best policy, reward=4479.500!
+[2026-06-04 15:00:35,201][649981] Updated weights for policy 0, policy_version 18592 (0.0010)
+[2026-06-04 15:00:37,506][648971] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 9535488. Throughput: 0: 10353.8. Samples: 9539584. Policy #0 lag: (min: 48.0, avg: 50.8, max: 112.0)
+[2026-06-04 15:00:37,507][648971] Avg episode reward: [(0, '4439.800')]
+[2026-06-04 15:00:38,597][649981] Updated weights for policy 0, policy_version 18676 (0.0011)
+[2026-06-04 15:00:42,077][649981] Updated weights for policy 0, policy_version 18752 (0.0011)
+[2026-06-04 15:00:42,507][648971] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 9601024. Throughput: 0: 10319.6. Samples: 9601536. Policy #0 lag: (min: 48.0, avg: 50.8, max: 112.0)
+[2026-06-04 15:00:42,507][648971] Avg episode reward: [(0, '4594.650')]
+[2026-06-04 15:00:42,514][649901] Saving new best policy, reward=4594.650!
+[2026-06-04 15:00:47,506][648971] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 9633792. Throughput: 0: 10285.5. Samples: 9631744. Policy #0 lag: (min: 48.0, avg: 50.8, max: 112.0)
+[2026-06-04 15:00:47,507][648971] Avg episode reward: [(0, '4656.000')]
+[2026-06-04 15:00:47,509][649901] Saving new best policy, reward=4656.000!
+[2026-06-04 15:00:48,325][649981] Updated weights for policy 0, policy_version 18864 (0.0012)
+[2026-06-04 15:00:51,714][649981] Updated weights for policy 0, policy_version 18943 (0.0008)
+[2026-06-04 15:00:52,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 9699328. Throughput: 0: 10285.5. Samples: 9693184. Policy #0 lag: (min: 63.0, avg: 65.9, max: 127.0)
+[2026-06-04 15:00:52,507][648971] Avg episode reward: [(0, '4644.350')]
+[2026-06-04 15:00:57,506][648971] Fps is (10 sec: 9830.3, 60 sec: 9966.9, 300 sec: 9997.0). Total num frames: 9732096. Throughput: 0: 10251.4. Samples: 9753088. Policy #0 lag: (min: 63.0, avg: 65.9, max: 127.0)
+[2026-06-04 15:00:57,508][648971] Avg episode reward: [(0, '4593.600')]
+[2026-06-04 15:00:57,816][649981] Updated weights for policy 0, policy_version 19011 (0.0011)
+[2026-06-04 15:01:01,283][649981] Updated weights for policy 0, policy_version 19120 (0.0010)
+[2026-06-04 15:01:02,507][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10080.3). Total num frames: 9797632. Throughput: 0: 10251.3. Samples: 9782784. Policy #0 lag: (min: 63.0, avg: 65.9, max: 127.0)
+[2026-06-04 15:01:02,507][648971] Avg episode reward: [(0, '4701.350')]
+[2026-06-04 15:01:02,511][649901] Saving new best policy, reward=4701.350!
+[2026-06-04 15:01:07,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 9830400. Throughput: 0: 10194.5. Samples: 9843200. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:01:07,507][648971] Avg episode reward: [(0, '4507.300')]
+[2026-06-04 15:01:07,538][649901] Signal inference workers to stop experience collection... (900 times)
+[2026-06-04 15:01:07,566][649981] InferenceWorker_p0-w0: stopping experience collection (900 times)
+[2026-06-04 15:01:07,661][649901] Signal inference workers to resume experience collection... (900 times)
+[2026-06-04 15:01:07,661][649981] InferenceWorker_p0-w0: resuming experience collection (900 times)
+[2026-06-04 15:01:07,663][649981] Updated weights for policy 0, policy_version 19216 (0.0012)
+[2026-06-04 15:01:11,155][649981] Updated weights for policy 0, policy_version 19312 (0.0012)
+[2026-06-04 15:01:12,506][648971] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 9895936. Throughput: 0: 10114.8. Samples: 9902080. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:01:12,508][648971] Avg episode reward: [(0, '4453.050')]
+[2026-06-04 15:01:17,506][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 9928704. Throughput: 0: 10012.4. Samples: 9929728. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:01:17,507][648971] Avg episode reward: [(0, '4393.150')]
+[2026-06-04 15:01:17,758][649981] Updated weights for policy 0, policy_version 19408 (0.0010)
+[2026-06-04 15:01:21,234][649981] Updated weights for policy 0, policy_version 19504 (0.0011)
+[2026-06-04 15:01:22,507][648971] Fps is (10 sec: 9830.3, 60 sec: 10103.4, 300 sec: 10108.1). Total num frames: 9994240. Throughput: 0: 10035.2. Samples: 9991168. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0)
+[2026-06-04 15:01:22,507][648971] Avg episode reward: [(0, '4456.400')]
+[2026-06-04 15:01:27,286][649981] Updated weights for policy 0, policy_version 19587 (0.0011)
+[2026-06-04 15:01:27,506][648971] Fps is (10 sec: 11468.9, 60 sec: 10103.5, 300 sec: 10052.6). Total num frames: 10043392. Throughput: 0: 10035.2. Samples: 10053120. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0)
+[2026-06-04 15:01:27,507][648971] Avg episode reward: [(0, '4492.200')]
+[2026-06-04 15:01:30,779][649981] Updated weights for policy 0, policy_version 19665 (0.0011)
+[2026-06-04 15:01:32,507][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10024.8). Total num frames: 10092544. Throughput: 0: 10001.0. Samples: 10081792. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0)
+[2026-06-04 15:01:32,507][648971] Avg episode reward: [(0, '4665.350')]
+[2026-06-04 15:01:34,269][649981] Updated weights for policy 0, policy_version 19765 (0.0015)
+[2026-06-04 15:01:37,506][648971] Fps is (10 sec: 9830.3, 60 sec: 10103.5, 300 sec: 10052.6). Total num frames: 10141696. Throughput: 0: 9989.7. Samples: 10142720. Policy #0 lag: (min: 4.0, avg: 8.4, max: 68.0)
+[2026-06-04 15:01:37,507][648971] Avg episode reward: [(0, '4812.350')]
+[2026-06-04 15:01:37,627][649981] Updated weights for policy 0, policy_version 19832 (0.0011)
+[2026-06-04 15:01:37,697][649901] Saving new best policy, reward=4812.350!
+[2026-06-04 15:01:42,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 10052.6). Total num frames: 10190848. Throughput: 0: 9955.6. Samples: 10201088. Policy #0 lag: (min: 4.0, avg: 8.4, max: 68.0)
+[2026-06-04 15:01:42,507][648971] Avg episode reward: [(0, '4976.400')]
+[2026-06-04 15:01:42,511][649901] Saving new best policy, reward=4976.400!
+[2026-06-04 15:01:43,975][649981] Updated weights for policy 0, policy_version 19936 (0.0012)
+[2026-06-04 15:01:47,446][649981] Updated weights for policy 0, policy_version 20025 (0.0008)
+[2026-06-04 15:01:47,506][648971] Fps is (10 sec: 10649.6, 60 sec: 10240.0, 300 sec: 10080.3). Total num frames: 10248192. Throughput: 0: 9944.2. Samples: 10230272. Policy #0 lag: (min: 4.0, avg: 8.4, max: 68.0)
+[2026-06-04 15:01:47,507][648971] Avg episode reward: [(0, '5102.000')]
+[2026-06-04 15:01:47,514][649901] Saving new best policy, reward=5102.000!
+[2026-06-04 15:01:52,507][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 10289152. Throughput: 0: 9955.5. Samples: 10291200. Policy #0 lag: (min: 7.0, avg: 9.8, max: 71.0)
+[2026-06-04 15:01:52,507][648971] Avg episode reward: [(0, '5148.100')]
+[2026-06-04 15:01:52,511][649901] Saving new best policy, reward=5148.100!
+[2026-06-04 15:01:53,456][649981] Updated weights for policy 0, policy_version 20112 (0.0010)
+[2026-06-04 15:01:57,137][649981] Updated weights for policy 0, policy_version 20218 (0.0010)
+[2026-06-04 15:01:57,506][648971] Fps is (10 sec: 10649.7, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 10354688. Throughput: 0: 10046.6. Samples: 10354176. Policy #0 lag: (min: 7.0, avg: 9.8, max: 71.0)
+[2026-06-04 15:01:57,507][648971] Avg episode reward: [(0, '5151.900')]
+[2026-06-04 15:01:57,511][649901] Saving new best policy, reward=5151.900!
+[2026-06-04 15:02:00,158][649901] Signal inference workers to stop experience collection... (950 times)
+[2026-06-04 15:02:00,187][649981] InferenceWorker_p0-w0: stopping experience collection (950 times)
+[2026-06-04 15:02:00,284][649901] Signal inference workers to resume experience collection... (950 times)
+[2026-06-04 15:02:00,285][649981] InferenceWorker_p0-w0: resuming experience collection (950 times)
+[2026-06-04 15:02:02,507][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 10387456. Throughput: 0: 10080.7. Samples: 10383360. Policy #0 lag: (min: 7.0, avg: 9.8, max: 71.0)
+[2026-06-04 15:02:02,508][648971] Avg episode reward: [(0, '5113.400')]
+[2026-06-04 15:02:03,188][649981] Updated weights for policy 0, policy_version 20304 (0.0010)
+[2026-06-04 15:02:06,821][649981] Updated weights for policy 0, policy_version 20400 (0.0008)
+[2026-06-04 15:02:07,507][648971] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 10452992. Throughput: 0: 10080.7. Samples: 10444800. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:02:07,508][648971] Avg episode reward: [(0, '5112.650')]
+[2026-06-04 15:02:10,022][649981] Updated weights for policy 0, policy_version 20467 (0.0005)
+[2026-06-04 15:02:12,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 10080.3). Total num frames: 10485760. Throughput: 0: 10057.9. Samples: 10505728. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:02:12,507][648971] Avg episode reward: [(0, '5161.250')]
+[2026-06-04 15:02:12,511][649901] Saving new best policy, reward=5161.250!
+[2026-06-04 15:02:13,296][649981] Updated weights for policy 0, policy_version 20539 (0.0005)
+[2026-06-04 15:02:17,507][648971] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 10551296. Throughput: 0: 10114.8. Samples: 10536960. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:02:17,507][648971] Avg episode reward: [(0, '5126.700')]
+[2026-06-04 15:02:19,184][649981] Updated weights for policy 0, policy_version 20624 (0.0006)
+[2026-06-04 15:02:22,506][648971] Fps is (10 sec: 10649.6, 60 sec: 9966.9, 300 sec: 10080.3). Total num frames: 10592256. Throughput: 0: 10103.5. Samples: 10597376. Policy #0 lag: (min: 9.0, avg: 11.8, max: 73.0)
+[2026-06-04 15:02:22,507][648971] Avg episode reward: [(0, '4988.000')]
+[2026-06-04 15:02:22,809][649981] Updated weights for policy 0, policy_version 20731 (0.0010)
+[2026-06-04 15:02:26,199][649981] Updated weights for policy 0, policy_version 20795 (0.0009)
+[2026-06-04 15:02:27,506][648971] Fps is (10 sec: 9830.5, 60 sec: 10103.5, 300 sec: 10108.1). Total num frames: 10649600. Throughput: 0: 10149.0. Samples: 10657792. Policy #0 lag: (min: 9.0, avg: 11.8, max: 73.0)
+[2026-06-04 15:02:27,507][648971] Avg episode reward: [(0, '4993.300')]
+[2026-06-04 15:02:32,099][649981] Updated weights for policy 0, policy_version 20896 (0.0010)
+[2026-06-04 15:02:32,507][648971] Fps is (10 sec: 12287.9, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 10715136. Throughput: 0: 10228.6. Samples: 10690560. Policy #0 lag: (min: 9.0, avg: 11.8, max: 73.0)
+[2026-06-04 15:02:32,508][648971] Avg episode reward: [(0, '5074.300')]
+[2026-06-04 15:02:35,597][649981] Updated weights for policy 0, policy_version 20979 (0.0010)
+[2026-06-04 15:02:37,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10103.5, 300 sec: 10108.1). Total num frames: 10747904. Throughput: 0: 10183.1. Samples: 10749440. Policy #0 lag: (min: 9.0, avg: 11.8, max: 73.0)
+[2026-06-04 15:02:37,507][648971] Avg episode reward: [(0, '5014.950')]
+[2026-06-04 15:02:38,912][649981] Updated weights for policy 0, policy_version 21056 (0.0010)
+[2026-06-04 15:02:42,507][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10135.9). Total num frames: 10813440. Throughput: 0: 10217.2. Samples: 10813952. Policy #0 lag: (min: 4.0, avg: 6.9, max: 68.0)
+[2026-06-04 15:02:42,508][648971] Avg episode reward: [(0, '5029.350')]
+[2026-06-04 15:02:44,769][649981] Updated weights for policy 0, policy_version 21136 (0.0010)
+[2026-06-04 15:02:47,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9967.0, 300 sec: 10108.1). Total num frames: 10846208. Throughput: 0: 10274.2. Samples: 10845696. Policy #0 lag: (min: 4.0, avg: 6.9, max: 68.0)
+[2026-06-04 15:02:47,508][648971] Avg episode reward: [(0, '5072.450')]
+[2026-06-04 15:02:47,993][649981] Updated weights for policy 0, policy_version 21200 (0.0009)
+[2026-06-04 15:02:51,432][649981] Updated weights for policy 0, policy_version 21300 (0.0010)
+[2026-06-04 15:02:52,507][648971] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 10911744. Throughput: 0: 10274.1. Samples: 10907136. Policy #0 lag: (min: 4.0, avg: 6.9, max: 68.0)
+[2026-06-04 15:02:52,508][648971] Avg episode reward: [(0, '4805.350')]
+[2026-06-04 15:02:54,330][649901] Signal inference workers to stop experience collection... (1000 times)
+[2026-06-04 15:02:54,360][649981] InferenceWorker_p0-w0: stopping experience collection (1000 times)
+[2026-06-04 15:02:54,484][649901] Signal inference workers to resume experience collection... (1000 times)
+[2026-06-04 15:02:54,485][649981] InferenceWorker_p0-w0: resuming experience collection (1000 times)
+[2026-06-04 15:02:54,820][649981] Updated weights for policy 0, policy_version 21376 (0.0010)
+[2026-06-04 15:02:57,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 10944512. Throughput: 0: 10285.5. Samples: 10968576. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0)
+[2026-06-04 15:02:57,507][648971] Avg episode reward: [(0, '4937.350')]
+[2026-06-04 15:03:00,833][649981] Updated weights for policy 0, policy_version 21472 (0.0011)
+[2026-06-04 15:03:02,507][648971] Fps is (10 sec: 9830.6, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 11010048. Throughput: 0: 10285.5. Samples: 10999808. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0)
+[2026-06-04 15:03:02,508][648971] Avg episode reward: [(0, '4741.700')]
+[2026-06-04 15:03:04,294][649981] Updated weights for policy 0, policy_version 21557 (0.0010)
+[2026-06-04 15:03:07,489][649981] Updated weights for policy 0, policy_version 21623 (0.0010)
+[2026-06-04 15:03:07,506][648971] Fps is (10 sec: 12288.0, 60 sec: 10240.0, 300 sec: 10191.4). Total num frames: 11067392. Throughput: 0: 10262.8. Samples: 11059200. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0)
+[2026-06-04 15:03:07,507][648971] Avg episode reward: [(0, '4809.400')]
+[2026-06-04 15:03:12,507][648971] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 11108352. Throughput: 0: 10296.8. Samples: 11121152. Policy #0 lag: (min: 6.0, avg: 10.1, max: 70.0)
+[2026-06-04 15:03:12,507][648971] Avg episode reward: [(0, '4906.150')]
+[2026-06-04 15:03:13,690][649981] Updated weights for policy 0, policy_version 21728 (0.0012)
+[2026-06-04 15:03:17,244][649981] Updated weights for policy 0, policy_version 21819 (0.0010)
+[2026-06-04 15:03:17,506][648971] Fps is (10 sec: 10649.5, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11173888. Throughput: 0: 10217.3. Samples: 11150336. Policy #0 lag: (min: 6.0, avg: 10.1, max: 70.0)
+[2026-06-04 15:03:17,507][648971] Avg episode reward: [(0, '5157.200')]
+[2026-06-04 15:03:22,507][648971] Fps is (10 sec: 9830.3, 60 sec: 10240.0, 300 sec: 10108.1). Total num frames: 11206656. Throughput: 0: 10251.3. Samples: 11210752. Policy #0 lag: (min: 6.0, avg: 10.1, max: 70.0)
+[2026-06-04 15:03:22,508][648971] Avg episode reward: [(0, '5165.000')]
+[2026-06-04 15:03:22,513][649901] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed14/checkpoint_p0/checkpoint_000021888_11206656.pth...
+[2026-06-04 15:03:22,556][649901] Saving new best policy, reward=5165.000!
+[2026-06-04 15:03:23,570][649981] Updated weights for policy 0, policy_version 21936 (0.0011)
+[2026-06-04 15:03:26,982][649981] Updated weights for policy 0, policy_version 22016 (0.0011)
+[2026-06-04 15:03:27,506][648971] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11272192. Throughput: 0: 10205.9. Samples: 11273216. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:03:27,507][648971] Avg episode reward: [(0, '5231.150')]
+[2026-06-04 15:03:27,511][649901] Saving new best policy, reward=5231.150!
+[2026-06-04 15:03:32,507][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 11304960. Throughput: 0: 10205.8. Samples: 11304960. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:03:32,507][648971] Avg episode reward: [(0, '5333.050')]
+[2026-06-04 15:03:32,512][649901] Saving new best policy, reward=5333.050!
+[2026-06-04 15:03:32,996][649981] Updated weights for policy 0, policy_version 22112 (0.0009)
+[2026-06-04 15:03:36,265][649981] Updated weights for policy 0, policy_version 22196 (0.0011)
+[2026-06-04 15:03:37,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11370496. Throughput: 0: 10228.7. Samples: 11367424. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:03:37,507][648971] Avg episode reward: [(0, '5270.100')]
+[2026-06-04 15:03:42,421][649981] Updated weights for policy 0, policy_version 22273 (0.0010)
+[2026-06-04 15:03:42,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 11403264. Throughput: 0: 10194.5. Samples: 11427328. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:03:42,508][648971] Avg episode reward: [(0, '5226.100')]
+[2026-06-04 15:03:46,008][649981] Updated weights for policy 0, policy_version 22384 (0.0012)
+[2026-06-04 15:03:47,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11468800. Throughput: 0: 10171.8. Samples: 11457536. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:03:47,507][648971] Avg episode reward: [(0, '5399.950')]
+[2026-06-04 15:03:47,510][649901] Saving new best policy, reward=5399.950!
+[2026-06-04 15:03:48,834][649901] Signal inference workers to stop experience collection... (1050 times)
+[2026-06-04 15:03:48,862][649981] InferenceWorker_p0-w0: stopping experience collection (1050 times)
+[2026-06-04 15:03:48,966][649901] Signal inference workers to resume experience collection... (1050 times)
+[2026-06-04 15:03:48,966][649981] InferenceWorker_p0-w0: resuming experience collection (1050 times)
+[2026-06-04 15:03:49,352][649981] Updated weights for policy 0, policy_version 22458 (0.0011)
+[2026-06-04 15:03:52,506][648971] Fps is (10 sec: 13107.2, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 11534336. Throughput: 0: 10228.6. Samples: 11519488. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:03:52,507][648971] Avg episode reward: [(0, '5282.500')]
+[2026-06-04 15:03:55,157][649981] Updated weights for policy 0, policy_version 22529 (0.0010)
+[2026-06-04 15:03:57,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11567104. Throughput: 0: 10240.1. Samples: 11581952. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:03:57,507][648971] Avg episode reward: [(0, '5333.150')]
+[2026-06-04 15:03:58,490][649981] Updated weights for policy 0, policy_version 22609 (0.0010)
+[2026-06-04 15:04:01,899][649981] Updated weights for policy 0, policy_version 22704 (0.0009)
+[2026-06-04 15:04:02,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 11632640. Throughput: 0: 10251.4. Samples: 11611648. Policy #0 lag: (min: 1.0, avg: 5.4, max: 65.0)
+[2026-06-04 15:04:02,507][648971] Avg episode reward: [(0, '5225.350')]
+[2026-06-04 15:04:05,073][649981] Updated weights for policy 0, policy_version 22772 (0.0005)
+[2026-06-04 15:04:07,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9966.9, 300 sec: 10163.6). Total num frames: 11665408. Throughput: 0: 10274.2. Samples: 11673088. Policy #0 lag: (min: 1.0, avg: 5.4, max: 65.0)
+[2026-06-04 15:04:07,507][648971] Avg episode reward: [(0, '5547.200')]
+[2026-06-04 15:04:07,511][649901] Saving new best policy, reward=5547.200!
+[2026-06-04 15:04:08,304][649981] Updated weights for policy 0, policy_version 22842 (0.0009)
+[2026-06-04 15:04:12,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 11730944. Throughput: 0: 10262.8. Samples: 11735040. Policy #0 lag: (min: 1.0, avg: 5.4, max: 65.0)
+[2026-06-04 15:04:12,507][648971] Avg episode reward: [(0, '5497.150')]
+[2026-06-04 15:04:14,140][649981] Updated weights for policy 0, policy_version 22913 (0.0010)
+[2026-06-04 15:04:17,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 11763712. Throughput: 0: 10262.8. Samples: 11766784. Policy #0 lag: (min: 14.0, avg: 18.0, max: 78.0)
+[2026-06-04 15:04:17,507][648971] Avg episode reward: [(0, '5395.800')]
+[2026-06-04 15:04:17,839][649981] Updated weights for policy 0, policy_version 23024 (0.0012)
+[2026-06-04 15:04:21,251][649981] Updated weights for policy 0, policy_version 23101 (0.0010)
+[2026-06-04 15:04:22,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 11829248. Throughput: 0: 10240.0. Samples: 11828224. Policy #0 lag: (min: 14.0, avg: 18.0, max: 78.0)
+[2026-06-04 15:04:22,507][648971] Avg episode reward: [(0, '5491.600')]
+[2026-06-04 15:04:27,304][649981] Updated weights for policy 0, policy_version 23184 (0.0010)
+[2026-06-04 15:04:27,506][648971] Fps is (10 sec: 11468.8, 60 sec: 10103.5, 300 sec: 10163.6). Total num frames: 11878400. Throughput: 0: 10251.4. Samples: 11888640. Policy #0 lag: (min: 14.0, avg: 18.0, max: 78.0)
+[2026-06-04 15:04:27,507][648971] Avg episode reward: [(0, '5552.200')]
+[2026-06-04 15:04:27,702][649901] Saving new best policy, reward=5552.200!
+[2026-06-04 15:04:30,825][649981] Updated weights for policy 0, policy_version 23287 (0.0011)
+[2026-06-04 15:04:32,507][648971] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11927552. Throughput: 0: 10240.0. Samples: 11918336. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:04:32,509][648971] Avg episode reward: [(0, '5536.750')]
+[2026-06-04 15:04:37,197][649981] Updated weights for policy 0, policy_version 23392 (0.0010)
+[2026-06-04 15:04:37,506][648971] Fps is (10 sec: 11468.8, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11993088. Throughput: 0: 10183.1. Samples: 11977728. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:04:37,507][648971] Avg episode reward: [(0, '5630.400')]
+[2026-06-04 15:04:37,511][649901] Saving new best policy, reward=5630.400!
+[2026-06-04 15:04:40,460][649901] Signal inference workers to stop experience collection... (1100 times)
+[2026-06-04 15:04:40,489][649981] InferenceWorker_p0-w0: stopping experience collection (1100 times)
+[2026-06-04 15:04:40,580][649901] Signal inference workers to resume experience collection... (1100 times)
+[2026-06-04 15:04:40,580][649981] InferenceWorker_p0-w0: resuming experience collection (1100 times)
+[2026-06-04 15:04:40,712][649981] Updated weights for policy 0, policy_version 23482 (0.0010)
+[2026-06-04 15:04:42,506][648971] Fps is (10 sec: 9830.6, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 12025856. Throughput: 0: 10137.6. Samples: 12038144. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:04:42,507][648971] Avg episode reward: [(0, '5770.550')]
+[2026-06-04 15:04:42,512][649901] Saving new best policy, reward=5770.550!
+[2026-06-04 15:04:47,068][649981] Updated weights for policy 0, policy_version 23584 (0.0009)
+[2026-06-04 15:04:47,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 12091392. Throughput: 0: 10137.6. Samples: 12067840. Policy #0 lag: (min: 11.0, avg: 13.9, max: 75.0)
+[2026-06-04 15:04:47,507][648971] Avg episode reward: [(0, '5749.800')]
+[2026-06-04 15:04:50,516][649981] Updated weights for policy 0, policy_version 23668 (0.0011)
+[2026-06-04 15:04:52,506][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 10135.9). Total num frames: 12124160. Throughput: 0: 10092.1. Samples: 12127232. Policy #0 lag: (min: 11.0, avg: 13.9, max: 75.0)
+[2026-06-04 15:04:52,507][648971] Avg episode reward: [(0, '5858.250')]
+[2026-06-04 15:04:52,512][649901] Saving new best policy, reward=5858.250!
+[2026-06-04 15:04:56,783][649981] Updated weights for policy 0, policy_version 23760 (0.0011)
+[2026-06-04 15:04:57,507][648971] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 12189696. Throughput: 0: 10092.1. Samples: 12189184. Policy #0 lag: (min: 11.0, avg: 13.9, max: 75.0)
+[2026-06-04 15:04:57,507][648971] Avg episode reward: [(0, '5900.250')]
+[2026-06-04 15:04:57,511][649901] Saving new best policy, reward=5900.250!
+[2026-06-04 15:05:00,434][649981] Updated weights for policy 0, policy_version 23861 (0.0011)
+[2026-06-04 15:05:02,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 12222464. Throughput: 0: 10035.2. Samples: 12218368. Policy #0 lag: (min: 11.0, avg: 13.9, max: 75.0)
+[2026-06-04 15:05:02,507][648971] Avg episode reward: [(0, '5904.200')]
+[2026-06-04 15:05:02,512][649901] Saving new best policy, reward=5904.200!
+[2026-06-04 15:05:03,659][649981] Updated weights for policy 0, policy_version 23936 (0.0009)
+[2026-06-04 15:05:07,506][648971] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 12288000. Throughput: 0: 10058.0. Samples: 12280832. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0)
+[2026-06-04 15:05:07,507][648971] Avg episode reward: [(0, '5856.200')]
+[2026-06-04 15:05:09,804][649981] Updated weights for policy 0, policy_version 24048 (0.0010)
+[2026-06-04 15:05:12,507][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 12320768. Throughput: 0: 10057.9. Samples: 12341248. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0)
+[2026-06-04 15:05:12,507][648971] Avg episode reward: [(0, '5871.800')]
+[2026-06-04 15:05:13,282][649981] Updated weights for policy 0, policy_version 24127 (0.0011)
+[2026-06-04 15:05:17,506][648971] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10163.6). Total num frames: 12386304. Throughput: 0: 10035.2. Samples: 12369920. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0)
+[2026-06-04 15:05:17,508][648971] Avg episode reward: [(0, '5789.400')]
+[2026-06-04 15:05:19,706][649981] Updated weights for policy 0, policy_version 24240 (0.0012)
+[2026-06-04 15:05:22,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 12419072. Throughput: 0: 10046.5. Samples: 12429824. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:05:22,507][648971] Avg episode reward: [(0, '5698.750')]
+[2026-06-04 15:05:23,056][649981] Updated weights for policy 0, policy_version 24315 (0.0010)
+[2026-06-04 15:05:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10103.4, 300 sec: 10108.1). Total num frames: 12484608. Throughput: 0: 10035.2. Samples: 12489728. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:05:27,507][648971] Avg episode reward: [(0, '5801.550')]
+[2026-06-04 15:05:29,455][649981] Updated weights for policy 0, policy_version 24436 (0.0013)
+[2026-06-04 15:05:32,507][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 12517376. Throughput: 0: 10057.9. Samples: 12520448. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:05:32,508][648971] Avg episode reward: [(0, '5780.050')]
+[2026-06-04 15:05:35,777][649981] Updated weights for policy 0, policy_version 24528 (0.0010)
+[2026-06-04 15:05:35,777][649901] Signal inference workers to stop experience collection... (1150 times)
+[2026-06-04 15:05:35,806][649981] InferenceWorker_p0-w0: stopping experience collection (1150 times)
+[2026-06-04 15:05:35,887][649901] Signal inference workers to resume experience collection... (1150 times)
+[2026-06-04 15:05:35,888][649981] InferenceWorker_p0-w0: resuming experience collection (1150 times)
+[2026-06-04 15:05:37,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 12582912. Throughput: 0: 10103.5. Samples: 12581888. Policy #0 lag: (min: 22.0, avg: 25.0, max: 86.0)
+[2026-06-04 15:05:37,507][648971] Avg episode reward: [(0, '5707.350')]
+[2026-06-04 15:05:39,023][649981] Updated weights for policy 0, policy_version 24608 (0.0006)
+[2026-06-04 15:05:42,334][649981] Updated weights for policy 0, policy_version 24704 (0.0008)
+[2026-06-04 15:05:42,506][648971] Fps is (10 sec: 13107.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 12648448. Throughput: 0: 10149.0. Samples: 12645888. Policy #0 lag: (min: 22.0, avg: 25.0, max: 86.0)
+[2026-06-04 15:05:42,507][648971] Avg episode reward: [(0, '5671.050')]
+[2026-06-04 15:05:47,506][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 12681216. Throughput: 0: 10171.7. Samples: 12676096. Policy #0 lag: (min: 22.0, avg: 25.0, max: 86.0)
+[2026-06-04 15:05:47,507][648971] Avg episode reward: [(0, '5667.300')]
+[2026-06-04 15:05:48,456][649981] Updated weights for policy 0, policy_version 24784 (0.0005)
+[2026-06-04 15:05:51,683][649981] Updated weights for policy 0, policy_version 24864 (0.0006)
+[2026-06-04 15:05:52,506][648971] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 12746752. Throughput: 0: 10149.0. Samples: 12737536. Policy #0 lag: (min: 22.0, avg: 25.0, max: 86.0)
+[2026-06-04 15:05:52,507][648971] Avg episode reward: [(0, '5575.500')]
+[2026-06-04 15:05:54,910][649981] Updated weights for policy 0, policy_version 24944 (0.0005)
+[2026-06-04 15:05:57,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 12779520. Throughput: 0: 10205.9. Samples: 12800512. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0)
+[2026-06-04 15:05:57,507][648971] Avg episode reward: [(0, '5686.650')]
+[2026-06-04 15:05:58,093][649981] Updated weights for policy 0, policy_version 25009 (0.0005)
+[2026-06-04 15:06:02,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 12845056. Throughput: 0: 10274.1. Samples: 12832256. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0)
+[2026-06-04 15:06:02,507][648971] Avg episode reward: [(0, '5756.600')]
+[2026-06-04 15:06:04,053][649981] Updated weights for policy 0, policy_version 25104 (0.0009)
+[2026-06-04 15:06:07,393][649981] Updated weights for policy 0, policy_version 25200 (0.0011)
+[2026-06-04 15:06:07,507][648971] Fps is (10 sec: 12287.9, 60 sec: 10240.0, 300 sec: 10191.4). Total num frames: 12902400. Throughput: 0: 10308.3. Samples: 12893696. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0)
+[2026-06-04 15:06:07,507][648971] Avg episode reward: [(0, '5924.500')]
+[2026-06-04 15:06:07,580][649901] Saving new best policy, reward=5924.500!
+[2026-06-04 15:06:10,738][649981] Updated weights for policy 0, policy_version 25268 (0.0011)
+[2026-06-04 15:06:12,507][648971] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 12943360. Throughput: 0: 10376.5. Samples: 12956672. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0)
+[2026-06-04 15:06:12,508][648971] Avg episode reward: [(0, '6075.750')]
+[2026-06-04 15:06:12,514][649901] Saving new best policy, reward=6075.750!
+[2026-06-04 15:06:16,893][649981] Updated weights for policy 0, policy_version 25361 (0.0011)
+[2026-06-04 15:06:17,507][648971] Fps is (10 sec: 10649.6, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 13008896. Throughput: 0: 10365.2. Samples: 12986880. Policy #0 lag: (min: 3.0, avg: 8.0, max: 67.0)
+[2026-06-04 15:06:17,507][648971] Avg episode reward: [(0, '5979.550')]
+[2026-06-04 15:06:20,272][649981] Updated weights for policy 0, policy_version 25456 (0.0013)
+[2026-06-04 15:06:22,507][648971] Fps is (10 sec: 9830.6, 60 sec: 10376.5, 300 sec: 10163.6). Total num frames: 13041664. Throughput: 0: 10319.6. Samples: 13046272. Policy #0 lag: (min: 3.0, avg: 8.0, max: 67.0)
+[2026-06-04 15:06:22,507][648971] Avg episode reward: [(0, '6135.400')]
+[2026-06-04 15:06:22,512][649901] Saving new best policy, reward=6135.400!
+[2026-06-04 15:06:23,703][649981] Updated weights for policy 0, policy_version 25536 (0.0010)
+[2026-06-04 15:06:27,506][648971] Fps is (10 sec: 9830.6, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 13107200. Throughput: 0: 10274.1. Samples: 13108224. Policy #0 lag: (min: 3.0, avg: 8.0, max: 67.0)
+[2026-06-04 15:06:27,507][648971] Avg episode reward: [(0, '5941.750')]
+[2026-06-04 15:06:29,517][649901] Signal inference workers to stop experience collection... (1200 times)
+[2026-06-04 15:06:29,545][649981] InferenceWorker_p0-w0: stopping experience collection (1200 times)
+[2026-06-04 15:06:29,654][649901] Signal inference workers to resume experience collection... (1200 times)
+[2026-06-04 15:06:29,655][649981] InferenceWorker_p0-w0: resuming experience collection (1200 times)
+[2026-06-04 15:06:29,765][649981] Updated weights for policy 0, policy_version 25632 (0.0010)
+[2026-06-04 15:06:32,506][648971] Fps is (10 sec: 9830.5, 60 sec: 10376.6, 300 sec: 10163.6). Total num frames: 13139968. Throughput: 0: 10331.0. Samples: 13140992. Policy #0 lag: (min: 3.0, avg: 8.0, max: 67.0)
+[2026-06-04 15:06:32,507][648971] Avg episode reward: [(0, '5995.600')]
+[2026-06-04 15:06:33,129][649981] Updated weights for policy 0, policy_version 25712 (0.0011)
+[2026-06-04 15:06:36,463][649981] Updated weights for policy 0, policy_version 25789 (0.0010)
+[2026-06-04 15:06:37,507][648971] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 13205504. Throughput: 0: 10319.6. Samples: 13201920. Policy #0 lag: (min: 7.0, avg: 10.8, max: 71.0)
+[2026-06-04 15:06:37,508][648971] Avg episode reward: [(0, '5839.300')]
+[2026-06-04 15:06:42,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10135.9). Total num frames: 13238272. Throughput: 0: 10262.8. Samples: 13262336. Policy #0 lag: (min: 7.0, avg: 10.8, max: 71.0)
+[2026-06-04 15:06:42,507][648971] Avg episode reward: [(0, '5812.200')]
+[2026-06-04 15:06:42,757][649981] Updated weights for policy 0, policy_version 25904 (0.0012)
+[2026-06-04 15:06:47,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 13303808. Throughput: 0: 10240.0. Samples: 13293056. Policy #0 lag: (min: 7.0, avg: 10.8, max: 71.0)
+[2026-06-04 15:06:47,507][648971] Avg episode reward: [(0, '5880.550')]
+[2026-06-04 15:06:49,119][649981] Updated weights for policy 0, policy_version 26000 (0.0010)
+[2026-06-04 15:06:52,506][648971] Fps is (10 sec: 10649.6, 60 sec: 9966.9, 300 sec: 10135.9). Total num frames: 13344768. Throughput: 0: 10160.4. Samples: 13350912. Policy #0 lag: (min: 14.0, avg: 16.9, max: 78.0)
+[2026-06-04 15:06:52,507][648971] Avg episode reward: [(0, '5903.850')]
+[2026-06-04 15:06:52,620][649981] Updated weights for policy 0, policy_version 26082 (0.0013)
+[2026-06-04 15:06:56,091][649981] Updated weights for policy 0, policy_version 26174 (0.0012)
+[2026-06-04 15:06:57,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 13402112. Throughput: 0: 10092.1. Samples: 13410816. Policy #0 lag: (min: 14.0, avg: 16.9, max: 78.0)
+[2026-06-04 15:06:57,507][648971] Avg episode reward: [(0, '5992.000')]
+[2026-06-04 15:07:02,159][649981] Updated weights for policy 0, policy_version 26256 (0.0011)
+[2026-06-04 15:07:02,506][648971] Fps is (10 sec: 11468.8, 60 sec: 10240.0, 300 sec: 10191.4). Total num frames: 13459456. Throughput: 0: 10103.5. Samples: 13441536. Policy #0 lag: (min: 14.0, avg: 16.9, max: 78.0)
+[2026-06-04 15:07:02,507][648971] Avg episode reward: [(0, '6049.000')]
+[2026-06-04 15:07:05,331][649981] Updated weights for policy 0, policy_version 26322 (0.0011)
+[2026-06-04 15:07:07,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9966.9, 300 sec: 10219.2). Total num frames: 13500416. Throughput: 0: 10160.4. Samples: 13503488. Policy #0 lag: (min: 14.0, avg: 16.9, max: 78.0)
+[2026-06-04 15:07:07,507][648971] Avg episode reward: [(0, '6187.550')]
+[2026-06-04 15:07:07,511][649901] Saving new best policy, reward=6187.550!
+[2026-06-04 15:07:08,636][649981] Updated weights for policy 0, policy_version 26402 (0.0012)
+[2026-06-04 15:07:11,989][649981] Updated weights for policy 0, policy_version 26484 (0.0010)
+[2026-06-04 15:07:12,506][648971] Fps is (10 sec: 10649.6, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 13565952. Throughput: 0: 10183.1. Samples: 13566464. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0)
+[2026-06-04 15:07:12,507][648971] Avg episode reward: [(0, '6292.850')]
+[2026-06-04 15:07:12,511][649901] Saving new best policy, reward=6292.850!
+[2026-06-04 15:07:17,507][648971] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 10191.4). Total num frames: 13598720. Throughput: 0: 10114.8. Samples: 13596160. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0)
+[2026-06-04 15:07:17,508][648971] Avg episode reward: [(0, '6256.650')]
+[2026-06-04 15:07:18,156][649981] Updated weights for policy 0, policy_version 26576 (0.0011)
+[2026-06-04 15:07:21,551][649901] Signal inference workers to stop experience collection... (1250 times)
+[2026-06-04 15:07:21,580][649981] InferenceWorker_p0-w0: stopping experience collection (1250 times)
+[2026-06-04 15:07:21,651][649901] Signal inference workers to resume experience collection... (1250 times)
+[2026-06-04 15:07:21,651][649981] InferenceWorker_p0-w0: resuming experience collection (1250 times)
+[2026-06-04 15:07:21,653][649981] Updated weights for policy 0, policy_version 26672 (0.0011)
+[2026-06-04 15:07:22,506][648971] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 13664256. Throughput: 0: 10103.5. Samples: 13656576. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0)
+[2026-06-04 15:07:22,507][648971] Avg episode reward: [(0, '6195.650')]
+[2026-06-04 15:07:24,937][649981] Updated weights for policy 0, policy_version 26752 (0.0011)
+[2026-06-04 15:07:27,506][648971] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 13697024. Throughput: 0: 10171.7. Samples: 13720064. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0)
+[2026-06-04 15:07:27,507][648971] Avg episode reward: [(0, '6245.500')]
+[2026-06-04 15:07:31,079][649981] Updated weights for policy 0, policy_version 26866 (0.0011)
+[2026-06-04 15:07:32,506][648971] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 13762560. Throughput: 0: 10160.4. Samples: 13750272. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:07:32,507][648971] Avg episode reward: [(0, '6190.600')]
+[2026-06-04 15:07:34,396][649981] Updated weights for policy 0, policy_version 26944 (0.0010)
+[2026-06-04 15:07:37,506][648971] Fps is (10 sec: 12288.1, 60 sec: 10240.0, 300 sec: 10191.4). Total num frames: 13819904. Throughput: 0: 10251.4. Samples: 13812224. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:07:37,507][648971] Avg episode reward: [(0, '6155.000')]
+[2026-06-04 15:07:40,488][649981] Updated weights for policy 0, policy_version 27056 (0.0010)
+[2026-06-04 15:07:42,507][648971] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 13860864. Throughput: 0: 10308.2. Samples: 13874688. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:07:42,507][648971] Avg episode reward: [(0, '6246.900')]
+[2026-06-04 15:07:46,478][649981] Updated weights for policy 0, policy_version 27137 (0.0010)
+[2026-06-04 15:07:47,506][648971] Fps is (10 sec: 10649.6, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 13926400. Throughput: 0: 10342.4. Samples: 13906944. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:07:47,507][648971] Avg episode reward: [(0, '6347.800')]
+[2026-06-04 15:07:47,511][649901] Saving new best policy, reward=6347.800!
+[2026-06-04 15:07:49,769][649981] Updated weights for policy 0, policy_version 27232 (0.0010)
+[2026-06-04 15:07:52,506][648971] Fps is (10 sec: 9830.6, 60 sec: 10240.0, 300 sec: 10219.2). Total num frames: 13959168. Throughput: 0: 10342.4. Samples: 13968896. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0)
+[2026-06-04 15:07:52,507][648971] Avg episode reward: [(0, '6462.600')]
+[2026-06-04 15:07:52,510][649901] Saving new best policy, reward=6462.600!
+[2026-06-04 15:07:53,013][649981] Updated weights for policy 0, policy_version 27325 (0.0010)
+[2026-06-04 15:07:57,507][648971] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 14024704. Throughput: 0: 10308.2. Samples: 14030336. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0)
+[2026-06-04 15:07:57,509][648971] Avg episode reward: [(0, '6400.850')]
+[2026-06-04 15:07:59,177][649981] Updated weights for policy 0, policy_version 27424 (0.0010)
+[2026-06-04 15:08:02,506][648971] Fps is (10 sec: 11468.8, 60 sec: 10240.0, 300 sec: 10191.4). Total num frames: 14073856. Throughput: 0: 10365.2. Samples: 14062592. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0)
+[2026-06-04 15:08:02,507][648971] Avg episode reward: [(0, '6606.800')]
+[2026-06-04 15:08:02,627][649981] Updated weights for policy 0, policy_version 27508 (0.0010)
+[2026-06-04 15:08:02,737][649901] Saving new best policy, reward=6606.800!
+[2026-06-04 15:08:05,851][649981] Updated weights for policy 0, policy_version 27578 (0.0009)
+[2026-06-04 15:08:07,506][648971] Fps is (10 sec: 9830.6, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 14123008. Throughput: 0: 10399.3. Samples: 14124544. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0)
+[2026-06-04 15:08:07,507][648971] Avg episode reward: [(0, '6683.150')]
+[2026-06-04 15:08:07,511][649901] Saving new best policy, reward=6683.150!
+[2026-06-04 15:08:11,977][649981] Updated weights for policy 0, policy_version 27664 (0.0009)
+[2026-06-04 15:08:12,506][648971] Fps is (10 sec: 11468.8, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 14188544. Throughput: 0: 10365.2. Samples: 14186496. Policy #0 lag: (min: 7.0, avg: 11.2, max: 71.0)
+[2026-06-04 15:08:12,507][648971] Avg episode reward: [(0, '6823.350')]
+[2026-06-04 15:08:12,511][649901] Saving new best policy, reward=6823.350!
+[2026-06-04 15:08:15,261][649901] Signal inference workers to stop experience collection... (1300 times)
+[2026-06-04 15:08:15,290][649981] InferenceWorker_p0-w0: stopping experience collection (1300 times)
+[2026-06-04 15:08:15,370][649901] Signal inference workers to resume experience collection... (1300 times)
+[2026-06-04 15:08:15,371][649981] InferenceWorker_p0-w0: resuming experience collection (1300 times)
+[2026-06-04 15:08:15,525][649981] Updated weights for policy 0, policy_version 27762 (0.0011)
+[2026-06-04 15:08:17,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 14221312. Throughput: 0: 10342.4. Samples: 14215680. Policy #0 lag: (min: 7.0, avg: 11.2, max: 71.0)
+[2026-06-04 15:08:17,507][648971] Avg episode reward: [(0, '6772.850')]
+[2026-06-04 15:08:18,937][649981] Updated weights for policy 0, policy_version 27840 (0.0010)
+[2026-06-04 15:08:22,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 14286848. Throughput: 0: 10319.6. Samples: 14276608. Policy #0 lag: (min: 7.0, avg: 11.2, max: 71.0)
+[2026-06-04 15:08:22,507][648971] Avg episode reward: [(0, '6667.700')]
+[2026-06-04 15:08:24,895][649981] Updated weights for policy 0, policy_version 27937 (0.0010)
+[2026-06-04 15:08:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 14319616. Throughput: 0: 10342.5. Samples: 14340096. Policy #0 lag: (min: 7.0, avg: 11.2, max: 71.0)
+[2026-06-04 15:08:27,507][648971] Avg episode reward: [(0, '6657.200')]
+[2026-06-04 15:08:28,050][649981] Updated weights for policy 0, policy_version 28016 (0.0011)
+[2026-06-04 15:08:31,292][649981] Updated weights for policy 0, policy_version 28084 (0.0010)
+[2026-06-04 15:08:32,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 14385152. Throughput: 0: 10308.3. Samples: 14370816. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0)
+[2026-06-04 15:08:32,507][648971] Avg episode reward: [(0, '6760.700')]
+[2026-06-04 15:08:34,531][649981] Updated weights for policy 0, policy_version 28158 (0.0010)
+[2026-06-04 15:08:37,507][648971] Fps is (10 sec: 12287.8, 60 sec: 10376.5, 300 sec: 10302.5). Total num frames: 14442496. Throughput: 0: 10308.2. Samples: 14432768. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0)
+[2026-06-04 15:08:37,507][648971] Avg episode reward: [(0, '6497.200')]
+[2026-06-04 15:08:40,415][649981] Updated weights for policy 0, policy_version 28256 (0.0011)
+[2026-06-04 15:08:42,506][648971] Fps is (10 sec: 9830.3, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 14483456. Throughput: 0: 10353.8. Samples: 14496256. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0)
+[2026-06-04 15:08:42,507][648971] Avg episode reward: [(0, '6473.000')]
+[2026-06-04 15:08:43,618][649981] Updated weights for policy 0, policy_version 28321 (0.0011)
+[2026-06-04 15:08:46,972][649981] Updated weights for policy 0, policy_version 28416 (0.0011)
+[2026-06-04 15:08:47,506][648971] Fps is (10 sec: 10649.7, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 14548992. Throughput: 0: 10342.4. Samples: 14528000. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0)
+[2026-06-04 15:08:47,507][648971] Avg episode reward: [(0, '6506.850')]
+[2026-06-04 15:08:52,506][648971] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 14581760. Throughput: 0: 10331.0. Samples: 14589440. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0)
+[2026-06-04 15:08:52,507][648971] Avg episode reward: [(0, '6690.850')]
+[2026-06-04 15:08:53,266][649981] Updated weights for policy 0, policy_version 28528 (0.0011)
+[2026-06-04 15:08:56,759][649981] Updated weights for policy 0, policy_version 28605 (0.0011)
+[2026-06-04 15:08:57,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 14647296. Throughput: 0: 10296.9. Samples: 14649856. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0)
+[2026-06-04 15:08:57,507][648971] Avg episode reward: [(0, '6821.250')]
+[2026-06-04 15:09:00,012][649981] Updated weights for policy 0, policy_version 28672 (0.0010)
+[2026-06-04 15:09:02,507][648971] Fps is (10 sec: 9830.4, 60 sec: 10103.4, 300 sec: 10219.2). Total num frames: 14680064. Throughput: 0: 10342.4. Samples: 14681088. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0)
+[2026-06-04 15:09:02,507][648971] Avg episode reward: [(0, '6714.100')]
+[2026-06-04 15:09:05,925][649981] Updated weights for policy 0, policy_version 28752 (0.0013)
+[2026-06-04 15:09:07,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 14745600. Throughput: 0: 10387.9. Samples: 14744064. Policy #0 lag: (min: 3.0, avg: 6.9, max: 67.0)
+[2026-06-04 15:09:07,507][648971] Avg episode reward: [(0, '6803.750')]
+[2026-06-04 15:09:09,004][649901] Signal inference workers to stop experience collection... (1350 times)
+[2026-06-04 15:09:09,032][649981] InferenceWorker_p0-w0: stopping experience collection (1350 times)
+[2026-06-04 15:09:09,144][649901] Signal inference workers to resume experience collection... (1350 times)
+[2026-06-04 15:09:09,145][649981] InferenceWorker_p0-w0: resuming experience collection (1350 times)
+[2026-06-04 15:09:09,191][649981] Updated weights for policy 0, policy_version 28818 (0.0011)
+[2026-06-04 15:09:12,506][648971] Fps is (10 sec: 11468.9, 60 sec: 10103.5, 300 sec: 10274.7). Total num frames: 14794752. Throughput: 0: 10331.0. Samples: 14804992. Policy #0 lag: (min: 3.0, avg: 6.9, max: 67.0)
+[2026-06-04 15:09:12,507][648971] Avg episode reward: [(0, '6860.700')]
+[2026-06-04 15:09:12,520][649981] Updated weights for policy 0, policy_version 28912 (0.0011)
+[2026-06-04 15:09:12,699][649901] Saving new best policy, reward=6860.700!
+[2026-06-04 15:09:15,910][649981] Updated weights for policy 0, policy_version 28986 (0.0010)
+[2026-06-04 15:09:17,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 14843904. Throughput: 0: 10319.6. Samples: 14835200. Policy #0 lag: (min: 3.0, avg: 6.9, max: 67.0)
+[2026-06-04 15:09:17,507][648971] Avg episode reward: [(0, '6783.100')]
+[2026-06-04 15:09:21,871][649981] Updated weights for policy 0, policy_version 29072 (0.0009)
+[2026-06-04 15:09:22,506][648971] Fps is (10 sec: 11468.8, 60 sec: 10376.5, 300 sec: 10274.7). Total num frames: 14909440. Throughput: 0: 10308.3. Samples: 14896640. Policy #0 lag: (min: 3.0, avg: 6.9, max: 67.0)
+[2026-06-04 15:09:22,507][648971] Avg episode reward: [(0, '6686.850')]
+[2026-06-04 15:09:25,155][649981] Updated weights for policy 0, policy_version 29172 (0.0006)
+[2026-06-04 15:09:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 14942208. Throughput: 0: 10296.9. Samples: 14959616. Policy #0 lag: (min: 8.0, avg: 12.0, max: 72.0)
+[2026-06-04 15:09:27,507][648971] Avg episode reward: [(0, '6744.700')]
+[2026-06-04 15:09:28,504][649981] Updated weights for policy 0, policy_version 29239 (0.0005)
+[2026-06-04 15:09:31,745][649981] Updated weights for policy 0, policy_version 29312 (0.0005)
+[2026-06-04 15:09:32,506][648971] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 15007744. Throughput: 0: 10285.5. Samples: 14990848. Policy #0 lag: (min: 8.0, avg: 12.0, max: 72.0)
+[2026-06-04 15:09:32,507][648971] Avg episode reward: [(0, '6660.050')]
+[2026-06-04 15:09:37,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9966.9, 300 sec: 10219.2). Total num frames: 15040512. Throughput: 0: 10262.8. Samples: 15051264. Policy #0 lag: (min: 8.0, avg: 12.0, max: 72.0)
+[2026-06-04 15:09:37,507][648971] Avg episode reward: [(0, '6728.800')]
+[2026-06-04 15:09:37,815][649981] Updated weights for policy 0, policy_version 29408 (0.0011)
+[2026-06-04 15:09:41,231][649981] Updated weights for policy 0, policy_version 29500 (0.0008)
+[2026-06-04 15:09:42,507][648971] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 15106048. Throughput: 0: 10296.9. Samples: 15113216. Policy #0 lag: (min: 8.0, avg: 12.0, max: 72.0)
+[2026-06-04 15:09:42,508][648971] Avg episode reward: [(0, '6779.450')]
+[2026-06-04 15:09:47,057][649981] Updated weights for policy 0, policy_version 29584 (0.0006)
+[2026-06-04 15:09:47,506][648971] Fps is (10 sec: 13107.3, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 15171584. Throughput: 0: 10296.9. Samples: 15144448. Policy #0 lag: (min: 20.0, avg: 22.9, max: 84.0)
+[2026-06-04 15:09:47,507][648971] Avg episode reward: [(0, '6807.750')]
+[2026-06-04 15:09:50,613][649981] Updated weights for policy 0, policy_version 29687 (0.0006)
+[2026-06-04 15:09:52,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 15204352. Throughput: 0: 10285.5. Samples: 15206912. Policy #0 lag: (min: 20.0, avg: 22.9, max: 84.0)
+[2026-06-04 15:09:52,507][648971] Avg episode reward: [(0, '6838.800')]
+[2026-06-04 15:09:56,687][649981] Updated weights for policy 0, policy_version 29761 (0.0005)
+[2026-06-04 15:09:57,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 15269888. Throughput: 0: 10319.7. Samples: 15269376. Policy #0 lag: (min: 20.0, avg: 22.9, max: 84.0)
+[2026-06-04 15:09:57,507][648971] Avg episode reward: [(0, '6903.950')]
+[2026-06-04 15:09:57,511][649901] Saving new best policy, reward=6903.950!
+[2026-06-04 15:09:59,971][649981] Updated weights for policy 0, policy_version 29840 (0.0006)
+[2026-06-04 15:10:00,083][649901] Signal inference workers to stop experience collection... (1400 times)
+[2026-06-04 15:10:00,111][649981] InferenceWorker_p0-w0: stopping experience collection (1400 times)
+[2026-06-04 15:10:00,196][649901] Signal inference workers to resume experience collection... (1400 times)
+[2026-06-04 15:10:00,196][649981] InferenceWorker_p0-w0: resuming experience collection (1400 times)
+[2026-06-04 15:10:02,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 15302656. Throughput: 0: 10319.6. Samples: 15299584. Policy #0 lag: (min: 20.0, avg: 22.9, max: 84.0)
+[2026-06-04 15:10:02,507][648971] Avg episode reward: [(0, '7046.600')]
+[2026-06-04 15:10:02,511][649901] Saving new best policy, reward=7046.600!
+[2026-06-04 15:10:03,323][649981] Updated weights for policy 0, policy_version 29936 (0.0008)
+[2026-06-04 15:10:06,725][649981] Updated weights for policy 0, policy_version 30016 (0.0010)
+[2026-06-04 15:10:07,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 15368192. Throughput: 0: 10331.0. Samples: 15361536. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0)
+[2026-06-04 15:10:07,507][648971] Avg episode reward: [(0, '7011.450')]
+[2026-06-04 15:10:12,431][649981] Updated weights for policy 0, policy_version 30096 (0.0010)
+[2026-06-04 15:10:12,506][648971] Fps is (10 sec: 10649.6, 60 sec: 10240.0, 300 sec: 10246.9). Total num frames: 15409152. Throughput: 0: 10353.8. Samples: 15425536. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0)
+[2026-06-04 15:10:12,507][648971] Avg episode reward: [(0, '7013.500')]
+[2026-06-04 15:10:15,867][649981] Updated weights for policy 0, policy_version 30192 (0.0010)
+[2026-06-04 15:10:17,507][648971] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 15466496. Throughput: 0: 10331.0. Samples: 15455744. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0)
+[2026-06-04 15:10:17,508][648971] Avg episode reward: [(0, '7098.050')]
+[2026-06-04 15:10:17,511][649901] Saving new best policy, reward=7098.050!
+[2026-06-04 15:10:19,205][649981] Updated weights for policy 0, policy_version 30272 (0.0010)
+[2026-06-04 15:10:22,506][648971] Fps is (10 sec: 12288.1, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 15532032. Throughput: 0: 10365.2. Samples: 15517696. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0)
+[2026-06-04 15:10:22,507][648971] Avg episode reward: [(0, '7166.700')]
+[2026-06-04 15:10:22,511][649901] Saving new best policy, reward=7166.700!
+[2026-06-04 15:10:25,049][649981] Updated weights for policy 0, policy_version 30337 (0.0010)
+[2026-06-04 15:10:27,506][648971] Fps is (10 sec: 9830.6, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 15564800. Throughput: 0: 10365.2. Samples: 15579648. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0)
+[2026-06-04 15:10:27,507][648971] Avg episode reward: [(0, '7257.450')]
+[2026-06-04 15:10:27,511][649901] Saving new best policy, reward=7257.450!
+[2026-06-04 15:10:28,444][649981] Updated weights for policy 0, policy_version 30432 (0.0006)
+[2026-06-04 15:10:31,642][649981] Updated weights for policy 0, policy_version 30496 (0.0005)
+[2026-06-04 15:10:32,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 15630336. Throughput: 0: 10365.2. Samples: 15610880. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0)
+[2026-06-04 15:10:32,507][648971] Avg episode reward: [(0, '7261.100')]
+[2026-06-04 15:10:32,512][649901] Saving new best policy, reward=7261.100!
+[2026-06-04 15:10:34,945][649981] Updated weights for policy 0, policy_version 30577 (0.0005)
+[2026-06-04 15:10:37,506][648971] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 15663104. Throughput: 0: 10331.0. Samples: 15671808. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0)
+[2026-06-04 15:10:37,507][648971] Avg episode reward: [(0, '7266.200')]
+[2026-06-04 15:10:37,511][649901] Saving new best policy, reward=7266.200!
+[2026-06-04 15:10:38,077][649981] Updated weights for policy 0, policy_version 30649 (0.0005)
+[2026-06-04 15:10:41,217][649981] Updated weights for policy 0, policy_version 30715 (0.0005)
+[2026-06-04 15:10:42,506][648971] Fps is (10 sec: 9830.5, 60 sec: 10376.6, 300 sec: 10330.3). Total num frames: 15728640. Throughput: 0: 10399.3. Samples: 15737344. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0)
+[2026-06-04 15:10:42,507][648971] Avg episode reward: [(0, '7362.800')]
+[2026-06-04 15:10:42,511][649901] Saving new best policy, reward=7362.800!
+[2026-06-04 15:10:46,995][649981] Updated weights for policy 0, policy_version 30816 (0.0009)
+[2026-06-04 15:10:47,506][648971] Fps is (10 sec: 13107.3, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 15794176. Throughput: 0: 10422.1. Samples: 15768576. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0)
+[2026-06-04 15:10:47,507][648971] Avg episode reward: [(0, '7249.800')]
+[2026-06-04 15:10:50,416][649981] Updated weights for policy 0, policy_version 30901 (0.0010)
+[2026-06-04 15:10:52,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10330.3). Total num frames: 15826944. Throughput: 0: 10444.8. Samples: 15831552. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0)
+[2026-06-04 15:10:52,507][648971] Avg episode reward: [(0, '7324.350')]
+[2026-06-04 15:10:52,984][649901] Signal inference workers to stop experience collection... (1450 times)
+[2026-06-04 15:10:53,013][649981] InferenceWorker_p0-w0: stopping experience collection (1450 times)
+[2026-06-04 15:10:53,097][649901] Signal inference workers to resume experience collection... (1450 times)
+[2026-06-04 15:10:53,098][649981] InferenceWorker_p0-w0: resuming experience collection (1450 times)
+[2026-06-04 15:10:56,355][649981] Updated weights for policy 0, policy_version 30994 (0.0011)
+[2026-06-04 15:10:57,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10330.3). Total num frames: 15892480. Throughput: 0: 10422.1. Samples: 15894528. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0)
+[2026-06-04 15:10:57,507][648971] Avg episode reward: [(0, '7300.350')]
+[2026-06-04 15:10:59,835][649981] Updated weights for policy 0, policy_version 31095 (0.0010)
+[2026-06-04 15:11:02,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10247.0). Total num frames: 15925248. Throughput: 0: 10479.0. Samples: 15927296. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0)
+[2026-06-04 15:11:02,507][648971] Avg episode reward: [(0, '7306.900')]
+[2026-06-04 15:11:05,759][649981] Updated weights for policy 0, policy_version 31184 (0.0010)
+[2026-06-04 15:11:07,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 15990784. Throughput: 0: 10501.7. Samples: 15990272. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0)
+[2026-06-04 15:11:07,507][648971] Avg episode reward: [(0, '7272.750')]
+[2026-06-04 15:11:09,137][649981] Updated weights for policy 0, policy_version 31280 (0.0010)
+[2026-06-04 15:11:12,500][649981] Updated weights for policy 0, policy_version 31360 (0.0010)
+[2026-06-04 15:11:12,506][648971] Fps is (10 sec: 13107.1, 60 sec: 10786.1, 300 sec: 10330.3). Total num frames: 16056320. Throughput: 0: 10513.1. Samples: 16052736. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0)
+[2026-06-04 15:11:12,507][648971] Avg episode reward: [(0, '7053.200')]
+[2026-06-04 15:11:17,506][648971] Fps is (10 sec: 9830.3, 60 sec: 10376.6, 300 sec: 10330.3). Total num frames: 16089088. Throughput: 0: 10547.2. Samples: 16085504. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0)
+[2026-06-04 15:11:17,507][648971] Avg episode reward: [(0, '7104.500')]
+[2026-06-04 15:11:18,230][649981] Updated weights for policy 0, policy_version 31440 (0.0009)
+[2026-06-04 15:11:21,685][649981] Updated weights for policy 0, policy_version 31539 (0.0008)
+[2026-06-04 15:11:22,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 16154624. Throughput: 0: 10558.6. Samples: 16146944. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0)
+[2026-06-04 15:11:22,507][648971] Avg episode reward: [(0, '7280.300')]
+[2026-06-04 15:11:24,936][649981] Updated weights for policy 0, policy_version 31611 (0.0005)
+[2026-06-04 15:11:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 16187392. Throughput: 0: 10444.8. Samples: 16207360. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0)
+[2026-06-04 15:11:27,507][648971] Avg episode reward: [(0, '7196.000')]
+[2026-06-04 15:11:31,072][649981] Updated weights for policy 0, policy_version 31712 (0.0009)
+[2026-06-04 15:11:32,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 16252928. Throughput: 0: 10433.4. Samples: 16238080. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0)
+[2026-06-04 15:11:32,507][648971] Avg episode reward: [(0, '7116.800')]
+[2026-06-04 15:11:34,374][649981] Updated weights for policy 0, policy_version 31796 (0.0011)
+[2026-06-04 15:11:37,506][648971] Fps is (10 sec: 12288.0, 60 sec: 10786.1, 300 sec: 10413.6). Total num frames: 16310272. Throughput: 0: 10456.2. Samples: 16302080. Policy #0 lag: (min: 4.0, avg: 6.9, max: 68.0)
+[2026-06-04 15:11:37,507][648971] Avg episode reward: [(0, '7443.800')]
+[2026-06-04 15:11:37,652][649901] Saving new best policy, reward=7443.800!
+[2026-06-04 15:11:40,491][649981] Updated weights for policy 0, policy_version 31888 (0.0011)
+[2026-06-04 15:11:42,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 16351232. Throughput: 0: 10433.4. Samples: 16364032. Policy #0 lag: (min: 4.0, avg: 6.9, max: 68.0)
+[2026-06-04 15:11:42,507][648971] Avg episode reward: [(0, '7648.000')]
+[2026-06-04 15:11:42,511][649901] Saving new best policy, reward=7648.000!
+[2026-06-04 15:11:43,511][649981] Updated weights for policy 0, policy_version 31952 (0.0011)
+[2026-06-04 15:11:46,485][649901] Signal inference workers to stop experience collection... (1500 times)
+[2026-06-04 15:11:46,512][649981] InferenceWorker_p0-w0: stopping experience collection (1500 times)
+[2026-06-04 15:11:46,619][649901] Signal inference workers to resume experience collection... (1500 times)
+[2026-06-04 15:11:46,620][649981] InferenceWorker_p0-w0: resuming experience collection (1500 times)
+[2026-06-04 15:11:46,847][649981] Updated weights for policy 0, policy_version 32048 (0.0012)
+[2026-06-04 15:11:47,506][648971] Fps is (10 sec: 10649.6, 60 sec: 10376.5, 300 sec: 10413.6). Total num frames: 16416768. Throughput: 0: 10399.3. Samples: 16395264. Policy #0 lag: (min: 4.0, avg: 6.9, max: 68.0)
+[2026-06-04 15:11:47,507][648971] Avg episode reward: [(0, '7540.450')]
+[2026-06-04 15:11:50,232][649981] Updated weights for policy 0, policy_version 32120 (0.0010)
+[2026-06-04 15:11:52,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 16449536. Throughput: 0: 10353.8. Samples: 16456192. Policy #0 lag: (min: 4.0, avg: 6.9, max: 68.0)
+[2026-06-04 15:11:52,507][648971] Avg episode reward: [(0, '7472.250')]
+[2026-06-04 15:11:56,089][649981] Updated weights for policy 0, policy_version 32208 (0.0011)
+[2026-06-04 15:11:57,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10358.0). Total num frames: 16515072. Throughput: 0: 10365.1. Samples: 16519168. Policy #0 lag: (min: 9.0, avg: 12.8, max: 73.0)
+[2026-06-04 15:11:57,507][648971] Avg episode reward: [(0, '7549.950')]
+[2026-06-04 15:11:59,695][649981] Updated weights for policy 0, policy_version 32306 (0.0011)
+[2026-06-04 15:12:02,507][648971] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 16547840. Throughput: 0: 10296.9. Samples: 16548864. Policy #0 lag: (min: 9.0, avg: 12.8, max: 73.0)
+[2026-06-04 15:12:02,508][648971] Avg episode reward: [(0, '7641.750')]
+[2026-06-04 15:12:03,146][649981] Updated weights for policy 0, policy_version 32384 (0.0012)
+[2026-06-04 15:12:07,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 16613376. Throughput: 0: 10342.4. Samples: 16612352. Policy #0 lag: (min: 9.0, avg: 12.8, max: 73.0)
+[2026-06-04 15:12:07,507][648971] Avg episode reward: [(0, '7665.300')]
+[2026-06-04 15:12:07,511][649901] Saving new best policy, reward=7665.300!
+[2026-06-04 15:12:09,169][649981] Updated weights for policy 0, policy_version 32480 (0.0010)
+[2026-06-04 15:12:12,305][649981] Updated weights for policy 0, policy_version 32564 (0.0010)
+[2026-06-04 15:12:12,506][648971] Fps is (10 sec: 13107.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 16678912. Throughput: 0: 10410.7. Samples: 16675840. Policy #0 lag: (min: 9.0, avg: 12.8, max: 73.0)
+[2026-06-04 15:12:12,507][648971] Avg episode reward: [(0, '7477.400')]
+[2026-06-04 15:12:15,625][649981] Updated weights for policy 0, policy_version 32640 (0.0010)
+[2026-06-04 15:12:17,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 16711680. Throughput: 0: 10410.7. Samples: 16706560. Policy #0 lag: (min: 9.0, avg: 12.8, max: 73.0)
+[2026-06-04 15:12:17,507][648971] Avg episode reward: [(0, '7496.700')]
+[2026-06-04 15:12:21,768][649981] Updated weights for policy 0, policy_version 32752 (0.0011)
+[2026-06-04 15:12:22,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 16777216. Throughput: 0: 10353.8. Samples: 16768000. Policy #0 lag: (min: 6.0, avg: 9.3, max: 70.0)
+[2026-06-04 15:12:22,507][648971] Avg episode reward: [(0, '7596.450')]
+[2026-06-04 15:12:25,143][649981] Updated weights for policy 0, policy_version 32832 (0.0010)
+[2026-06-04 15:12:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 16809984. Throughput: 0: 10331.0. Samples: 16828928. Policy #0 lag: (min: 6.0, avg: 9.3, max: 70.0)
+[2026-06-04 15:12:27,507][648971] Avg episode reward: [(0, '7624.750')]
+[2026-06-04 15:12:31,474][649981] Updated weights for policy 0, policy_version 32929 (0.0010)
+[2026-06-04 15:12:32,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10358.0). Total num frames: 16875520. Throughput: 0: 10262.8. Samples: 16857088. Policy #0 lag: (min: 6.0, avg: 9.3, max: 70.0)
+[2026-06-04 15:12:32,507][648971] Avg episode reward: [(0, '7583.900')]
+[2026-06-04 15:12:34,960][649981] Updated weights for policy 0, policy_version 33024 (0.0010)
+[2026-06-04 15:12:37,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9966.9, 300 sec: 10330.3). Total num frames: 16908288. Throughput: 0: 10274.1. Samples: 16918528. Policy #0 lag: (min: 6.0, avg: 9.3, max: 70.0)
+[2026-06-04 15:12:37,507][648971] Avg episode reward: [(0, '7716.050')]
+[2026-06-04 15:12:37,511][649901] Saving new best policy, reward=7716.050!
+[2026-06-04 15:12:37,822][649901] Signal inference workers to stop experience collection... (1550 times)
+[2026-06-04 15:12:37,852][649981] InferenceWorker_p0-w0: stopping experience collection (1550 times)
+[2026-06-04 15:12:37,959][649901] Signal inference workers to resume experience collection... (1550 times)
+[2026-06-04 15:12:37,960][649981] InferenceWorker_p0-w0: resuming experience collection (1550 times)
+[2026-06-04 15:12:41,070][649981] Updated weights for policy 0, policy_version 33120 (0.0011)
+[2026-06-04 15:12:42,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 16973824. Throughput: 0: 10217.2. Samples: 16978944. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0)
+[2026-06-04 15:12:42,507][648971] Avg episode reward: [(0, '7670.450')]
+[2026-06-04 15:12:44,617][649981] Updated weights for policy 0, policy_version 33207 (0.0011)
+[2026-06-04 15:12:47,506][648971] Fps is (10 sec: 11468.8, 60 sec: 10103.5, 300 sec: 10385.8). Total num frames: 17022976. Throughput: 0: 10240.0. Samples: 17009664. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0)
+[2026-06-04 15:12:47,507][648971] Avg episode reward: [(0, '7807.800')]
+[2026-06-04 15:12:47,794][649901] Saving new best policy, reward=7807.800!
+[2026-06-04 15:12:50,515][649981] Updated weights for policy 0, policy_version 33281 (0.0010)
+[2026-06-04 15:12:52,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 17072128. Throughput: 0: 10240.0. Samples: 17073152. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0)
+[2026-06-04 15:12:52,507][648971] Avg episode reward: [(0, '7851.350')]
+[2026-06-04 15:12:52,511][649901] Saving new best policy, reward=7851.350!
+[2026-06-04 15:12:54,094][649981] Updated weights for policy 0, policy_version 33392 (0.0011)
+[2026-06-04 15:12:57,306][649981] Updated weights for policy 0, policy_version 33466 (0.0010)
+[2026-06-04 15:12:57,506][648971] Fps is (10 sec: 11468.8, 60 sec: 10376.5, 300 sec: 10385.8). Total num frames: 17137664. Throughput: 0: 10205.9. Samples: 17135104. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0)
+[2026-06-04 15:12:57,507][648971] Avg episode reward: [(0, '7815.300')]
+[2026-06-04 15:13:02,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10330.3). Total num frames: 17170432. Throughput: 0: 10217.3. Samples: 17166336. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0)
+[2026-06-04 15:13:02,507][648971] Avg episode reward: [(0, '7827.550')]
+[2026-06-04 15:13:03,148][649981] Updated weights for policy 0, policy_version 33552 (0.0010)
+[2026-06-04 15:13:06,549][649981] Updated weights for policy 0, policy_version 33632 (0.0011)
+[2026-06-04 15:13:07,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 17235968. Throughput: 0: 10240.0. Samples: 17228800. Policy #0 lag: (min: 9.0, avg: 12.5, max: 73.0)
+[2026-06-04 15:13:07,507][648971] Avg episode reward: [(0, '7725.550')]
+[2026-06-04 15:13:09,864][649981] Updated weights for policy 0, policy_version 33717 (0.0011)
+[2026-06-04 15:13:12,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10330.3). Total num frames: 17268736. Throughput: 0: 10274.1. Samples: 17291264. Policy #0 lag: (min: 9.0, avg: 12.5, max: 73.0)
+[2026-06-04 15:13:12,507][648971] Avg episode reward: [(0, '7473.050')]
+[2026-06-04 15:13:15,799][649981] Updated weights for policy 0, policy_version 33808 (0.0011)
+[2026-06-04 15:13:17,507][648971] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 17334272. Throughput: 0: 10319.6. Samples: 17321472. Policy #0 lag: (min: 9.0, avg: 12.5, max: 73.0)
+[2026-06-04 15:13:17,508][648971] Avg episode reward: [(0, '7550.500')]
+[2026-06-04 15:13:18,826][649981] Updated weights for policy 0, policy_version 33888 (0.0010)
+[2026-06-04 15:13:22,245][649981] Updated weights for policy 0, policy_version 33976 (0.0010)
+[2026-06-04 15:13:22,507][648971] Fps is (10 sec: 13107.0, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 17399808. Throughput: 0: 10387.9. Samples: 17385984. Policy #0 lag: (min: 9.0, avg: 12.5, max: 73.0)
+[2026-06-04 15:13:22,507][648971] Avg episode reward: [(0, '7452.650')]
+[2026-06-04 15:13:22,511][649901] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed14/checkpoint_p0/checkpoint_000033984_17399808.pth...
+[2026-06-04 15:13:25,261][649981] Updated weights for policy 0, policy_version 34048 (0.0009)
+[2026-06-04 15:13:27,506][648971] Fps is (10 sec: 9830.6, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 17432576. Throughput: 0: 10490.3. Samples: 17451008. Policy #0 lag: (min: 31.0, avg: 34.6, max: 95.0)
+[2026-06-04 15:13:27,507][648971] Avg episode reward: [(0, '7510.600')]
+[2026-06-04 15:13:31,042][649901] Signal inference workers to stop experience collection... (1600 times)
+[2026-06-04 15:13:31,072][649981] InferenceWorker_p0-w0: stopping experience collection (1600 times)
+[2026-06-04 15:13:31,087][649981] Updated weights for policy 0, policy_version 34129 (0.0011)
+[2026-06-04 15:13:31,197][649901] Signal inference workers to resume experience collection... (1600 times)
+[2026-06-04 15:13:31,197][649981] InferenceWorker_p0-w0: resuming experience collection (1600 times)
+[2026-06-04 15:13:32,506][648971] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10358.0). Total num frames: 17498112. Throughput: 0: 10501.7. Samples: 17482240. Policy #0 lag: (min: 31.0, avg: 34.6, max: 95.0)
+[2026-06-04 15:13:32,507][648971] Avg episode reward: [(0, '7615.450')]
+[2026-06-04 15:13:34,589][649981] Updated weights for policy 0, policy_version 34234 (0.0011)
+[2026-06-04 15:13:37,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 17530880. Throughput: 0: 10467.6. Samples: 17544192. Policy #0 lag: (min: 31.0, avg: 34.6, max: 95.0)
+[2026-06-04 15:13:37,507][648971] Avg episode reward: [(0, '7778.400')]
+[2026-06-04 15:13:40,874][649981] Updated weights for policy 0, policy_version 34336 (0.0012)
+[2026-06-04 15:13:42,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 17596416. Throughput: 0: 10422.0. Samples: 17604096. Policy #0 lag: (min: 31.0, avg: 34.6, max: 95.0)
+[2026-06-04 15:13:42,507][648971] Avg episode reward: [(0, '8052.150')]
+[2026-06-04 15:13:42,511][649901] Saving new best policy, reward=8052.150!
+[2026-06-04 15:13:44,252][649981] Updated weights for policy 0, policy_version 34429 (0.0011)
+[2026-06-04 15:13:47,506][648971] Fps is (10 sec: 13107.1, 60 sec: 10649.6, 300 sec: 10441.3). Total num frames: 17661952. Throughput: 0: 10433.4. Samples: 17635840. Policy #0 lag: (min: 2.0, avg: 4.9, max: 66.0)
+[2026-06-04 15:13:47,507][648971] Avg episode reward: [(0, '7971.050')]
+[2026-06-04 15:13:50,195][649981] Updated weights for policy 0, policy_version 34528 (0.0011)
+[2026-06-04 15:13:52,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 17694720. Throughput: 0: 10444.8. Samples: 17698816. Policy #0 lag: (min: 2.0, avg: 4.9, max: 66.0)
+[2026-06-04 15:13:52,507][648971] Avg episode reward: [(0, '8054.750')]
+[2026-06-04 15:13:52,511][649901] Saving new best policy, reward=8054.750!
+[2026-06-04 15:13:53,640][649981] Updated weights for policy 0, policy_version 34624 (0.0011)
+[2026-06-04 15:13:57,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 17760256. Throughput: 0: 10456.2. Samples: 17761792. Policy #0 lag: (min: 2.0, avg: 4.9, max: 66.0)
+[2026-06-04 15:13:57,507][648971] Avg episode reward: [(0, '8205.000')]
+[2026-06-04 15:13:57,510][649901] Saving new best policy, reward=8205.000!
+[2026-06-04 15:13:59,858][649981] Updated weights for policy 0, policy_version 34736 (0.0011)
+[2026-06-04 15:14:02,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 17793024. Throughput: 0: 10490.4. Samples: 17793536. Policy #0 lag: (min: 2.0, avg: 4.9, max: 66.0)
+[2026-06-04 15:14:02,507][648971] Avg episode reward: [(0, '8258.450')]
+[2026-06-04 15:14:02,511][649901] Saving new best policy, reward=8258.450!
+[2026-06-04 15:14:03,116][649981] Updated weights for policy 0, policy_version 34816 (0.0011)
+[2026-06-04 15:14:07,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10385.8). Total num frames: 17858560. Throughput: 0: 10479.0. Samples: 17857536. Policy #0 lag: (min: 2.0, avg: 4.9, max: 66.0)
+[2026-06-04 15:14:07,507][648971] Avg episode reward: [(0, '8385.150')]
+[2026-06-04 15:14:07,511][649901] Saving new best policy, reward=8385.150!
+[2026-06-04 15:14:09,079][649981] Updated weights for policy 0, policy_version 34912 (0.0012)
+[2026-06-04 15:14:12,506][648971] Fps is (10 sec: 12288.0, 60 sec: 10786.1, 300 sec: 10413.6). Total num frames: 17915904. Throughput: 0: 10376.5. Samples: 17917952. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0)
+[2026-06-04 15:14:12,507][648971] Avg episode reward: [(0, '8370.000')]
+[2026-06-04 15:14:12,628][649981] Updated weights for policy 0, policy_version 35000 (0.0008)
+[2026-06-04 15:14:15,974][649981] Updated weights for policy 0, policy_version 35072 (0.0005)
+[2026-06-04 15:14:17,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10330.3). Total num frames: 17956864. Throughput: 0: 10365.2. Samples: 17948672. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0)
+[2026-06-04 15:14:17,507][648971] Avg episode reward: [(0, '8397.350')]
+[2026-06-04 15:14:17,511][649901] Saving new best policy, reward=8397.350!
+[2026-06-04 15:14:21,892][649981] Updated weights for policy 0, policy_version 35153 (0.0009)
+[2026-06-04 15:14:22,506][648971] Fps is (10 sec: 10649.6, 60 sec: 10376.6, 300 sec: 10441.3). Total num frames: 18022400. Throughput: 0: 10365.2. Samples: 18010624. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0)
+[2026-06-04 15:14:22,507][648971] Avg episode reward: [(0, '8497.350')]
+[2026-06-04 15:14:22,511][649901] Saving new best policy, reward=8497.350!
+[2026-06-04 15:14:24,888][649901] Signal inference workers to stop experience collection... (1650 times)
+[2026-06-04 15:14:24,939][649981] InferenceWorker_p0-w0: stopping experience collection (1650 times)
+[2026-06-04 15:14:25,058][649901] Signal inference workers to resume experience collection... (1650 times)
+[2026-06-04 15:14:25,059][649981] InferenceWorker_p0-w0: resuming experience collection (1650 times)
+[2026-06-04 15:14:25,302][649981] Updated weights for policy 0, policy_version 35248 (0.0010)
+[2026-06-04 15:14:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 18055168. Throughput: 0: 10387.9. Samples: 18071552. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0)
+[2026-06-04 15:14:27,507][648971] Avg episode reward: [(0, '8420.650')]
+[2026-06-04 15:14:28,563][649981] Updated weights for policy 0, policy_version 35323 (0.0009)
+[2026-06-04 15:14:32,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 18120704. Throughput: 0: 10365.2. Samples: 18102272. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0)
+[2026-06-04 15:14:32,507][648971] Avg episode reward: [(0, '8408.050')]
+[2026-06-04 15:14:34,415][649981] Updated weights for policy 0, policy_version 35393 (0.0006)
+[2026-06-04 15:14:35,040][649981] Updated weights for policy 0, policy_version 35456 (0.0005)
+[2026-06-04 15:14:37,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 18153472. Throughput: 0: 10365.2. Samples: 18165248. Policy #0 lag: (min: 62.0, avg: 65.8, max: 126.0)
+[2026-06-04 15:14:37,507][648971] Avg episode reward: [(0, '8432.500')]
+[2026-06-04 15:14:40,823][649981] Updated weights for policy 0, policy_version 35552 (0.0010)
+[2026-06-04 15:14:42,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 18219008. Throughput: 0: 10342.4. Samples: 18227200. Policy #0 lag: (min: 62.0, avg: 65.8, max: 126.0)
+[2026-06-04 15:14:42,507][648971] Avg episode reward: [(0, '8427.900')]
+[2026-06-04 15:14:44,498][649981] Updated weights for policy 0, policy_version 35644 (0.0011)
+[2026-06-04 15:14:47,506][648971] Fps is (10 sec: 11468.8, 60 sec: 10103.5, 300 sec: 10385.8). Total num frames: 18268160. Throughput: 0: 10262.8. Samples: 18255360. Policy #0 lag: (min: 62.0, avg: 65.8, max: 126.0)
+[2026-06-04 15:14:47,507][648971] Avg episode reward: [(0, '8226.350')]
+[2026-06-04 15:14:50,646][649981] Updated weights for policy 0, policy_version 35729 (0.0008)
+[2026-06-04 15:14:52,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 18317312. Throughput: 0: 10240.0. Samples: 18318336. Policy #0 lag: (min: 62.0, avg: 65.8, max: 126.0)
+[2026-06-04 15:14:52,508][648971] Avg episode reward: [(0, '8213.750')]
+[2026-06-04 15:14:53,704][649981] Updated weights for policy 0, policy_version 35808 (0.0007)
+[2026-06-04 15:14:56,977][649981] Updated weights for policy 0, policy_version 35888 (0.0008)
+[2026-06-04 15:14:57,506][648971] Fps is (10 sec: 11468.8, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 18382848. Throughput: 0: 10342.4. Samples: 18383360. Policy #0 lag: (min: 62.0, avg: 65.8, max: 126.0)
+[2026-06-04 15:14:57,507][648971] Avg episode reward: [(0, '8139.400')]
+[2026-06-04 15:15:00,042][649981] Updated weights for policy 0, policy_version 35965 (0.0008)
+[2026-06-04 15:15:02,506][648971] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 18415616. Throughput: 0: 10387.9. Samples: 18416128. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
+[2026-06-04 15:15:02,507][648971] Avg episode reward: [(0, '8169.200')]
+[2026-06-04 15:15:06,266][649981] Updated weights for policy 0, policy_version 36064 (0.0010)
+[2026-06-04 15:15:07,507][648971] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10413.6). Total num frames: 18481152. Throughput: 0: 10353.7. Samples: 18476544. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
+[2026-06-04 15:15:07,508][648971] Avg episode reward: [(0, '8054.150')]
+[2026-06-04 15:15:09,593][649981] Updated weights for policy 0, policy_version 36151 (0.0012)
+[2026-06-04 15:15:12,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9966.9, 300 sec: 10330.3). Total num frames: 18513920. Throughput: 0: 10365.1. Samples: 18537984. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
+[2026-06-04 15:15:12,508][648971] Avg episode reward: [(0, '8240.650')]
+[2026-06-04 15:15:15,981][649901] Signal inference workers to stop experience collection... (1700 times)
+[2026-06-04 15:15:15,983][649981] Updated weights for policy 0, policy_version 36256 (0.0012)
+[2026-06-04 15:15:16,012][649981] InferenceWorker_p0-w0: stopping experience collection (1700 times)
+[2026-06-04 15:15:16,102][649901] Signal inference workers to resume experience collection... (1700 times)
+[2026-06-04 15:15:16,103][649981] InferenceWorker_p0-w0: resuming experience collection (1700 times)
+[2026-06-04 15:15:17,506][648971] Fps is (10 sec: 9830.6, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 18579456. Throughput: 0: 10331.0. Samples: 18567168. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
+[2026-06-04 15:15:17,507][648971] Avg episode reward: [(0, '8300.300')]
+[2026-06-04 15:15:19,244][649981] Updated weights for policy 0, policy_version 36343 (0.0010)
+[2026-06-04 15:15:22,363][649981] Updated weights for policy 0, policy_version 36416 (0.0009)
+[2026-06-04 15:15:22,506][648971] Fps is (10 sec: 13107.2, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 18644992. Throughput: 0: 10319.6. Samples: 18629632. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0)
+[2026-06-04 15:15:22,507][648971] Avg episode reward: [(0, '8248.800')]
+[2026-06-04 15:15:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 18677760. Throughput: 0: 10342.4. Samples: 18692608. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 15:15:27,507][648971] Avg episode reward: [(0, '8324.550')]
+[2026-06-04 15:15:28,469][649981] Updated weights for policy 0, policy_version 36512 (0.0011)
+[2026-06-04 15:15:31,766][649981] Updated weights for policy 0, policy_version 36592 (0.0010)
+[2026-06-04 15:15:32,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 18743296. Throughput: 0: 10410.6. Samples: 18723840. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 15:15:32,507][648971] Avg episode reward: [(0, '8350.250')]
+[2026-06-04 15:15:34,970][649981] Updated weights for policy 0, policy_version 36666 (0.0010)
+[2026-06-04 15:15:37,507][648971] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 18776064. Throughput: 0: 10387.9. Samples: 18785792. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 15:15:37,507][648971] Avg episode reward: [(0, '8311.050')]
+[2026-06-04 15:15:40,814][649981] Updated weights for policy 0, policy_version 36752 (0.0011)
+[2026-06-04 15:15:42,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 18841600. Throughput: 0: 10342.4. Samples: 18848768. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 15:15:42,507][648971] Avg episode reward: [(0, '8298.600')]
+[2026-06-04 15:15:44,270][649981] Updated weights for policy 0, policy_version 36848 (0.0010)
+[2026-06-04 15:15:47,506][648971] Fps is (10 sec: 13107.4, 60 sec: 10649.6, 300 sec: 10441.3). Total num frames: 18907136. Throughput: 0: 10285.5. Samples: 18878976. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 15:15:47,507][648971] Avg episode reward: [(0, '8324.800')]
+[2026-06-04 15:15:50,050][649981] Updated weights for policy 0, policy_version 36931 (0.0010)
+[2026-06-04 15:15:52,507][648971] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 18939904. Throughput: 0: 10387.9. Samples: 18944000. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0)
+[2026-06-04 15:15:52,507][648971] Avg episode reward: [(0, '8646.150')]
+[2026-06-04 15:15:52,512][649901] Saving new best policy, reward=8646.150!
+[2026-06-04 15:15:53,437][649981] Updated weights for policy 0, policy_version 37044 (0.0009)
+[2026-06-04 15:15:56,800][649981] Updated weights for policy 0, policy_version 37120 (0.0007)
+[2026-06-04 15:15:57,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 19005440. Throughput: 0: 10422.0. Samples: 19006976. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0)
+[2026-06-04 15:15:57,507][648971] Avg episode reward: [(0, '8624.300')]
+[2026-06-04 15:16:02,506][648971] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 19038208. Throughput: 0: 10478.9. Samples: 19038720. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0)
+[2026-06-04 15:16:02,507][648971] Avg episode reward: [(0, '8705.500')]
+[2026-06-04 15:16:02,511][649901] Saving new best policy, reward=8705.500!
+[2026-06-04 15:16:02,996][649981] Updated weights for policy 0, policy_version 37200 (0.0008)
+[2026-06-04 15:16:06,131][649981] Updated weights for policy 0, policy_version 37265 (0.0006)
+[2026-06-04 15:16:07,507][648971] Fps is (10 sec: 9830.0, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 19103744. Throughput: 0: 10433.3. Samples: 19099136. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0)
+[2026-06-04 15:16:07,509][648971] Avg episode reward: [(0, '8870.400')]
+[2026-06-04 15:16:07,512][649901] Saving new best policy, reward=8870.400!
+[2026-06-04 15:16:09,338][649901] Signal inference workers to stop experience collection... (1750 times)
+[2026-06-04 15:16:09,368][649981] InferenceWorker_p0-w0: stopping experience collection (1750 times)
+[2026-06-04 15:16:09,469][649901] Signal inference workers to resume experience collection... (1750 times)
+[2026-06-04 15:16:09,470][649981] InferenceWorker_p0-w0: resuming experience collection (1750 times)
+[2026-06-04 15:16:09,516][649981] Updated weights for policy 0, policy_version 37346 (0.0010)
+[2026-06-04 15:16:12,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 19136512. Throughput: 0: 10399.3. Samples: 19160576. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0)
+[2026-06-04 15:16:12,507][648971] Avg episode reward: [(0, '8681.950')]
+[2026-06-04 15:16:12,868][649981] Updated weights for policy 0, policy_version 37428 (0.0010)
+[2026-06-04 15:16:16,327][649981] Updated weights for policy 0, policy_version 37504 (0.0009)
+[2026-06-04 15:16:17,506][648971] Fps is (10 sec: 9830.8, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 19202048. Throughput: 0: 10365.2. Samples: 19190272. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0)
+[2026-06-04 15:16:17,507][648971] Avg episode reward: [(0, '8769.500')]
+[2026-06-04 15:16:22,199][649981] Updated weights for policy 0, policy_version 37584 (0.0006)
+[2026-06-04 15:16:22,507][648971] Fps is (10 sec: 12287.4, 60 sec: 10239.9, 300 sec: 10413.5). Total num frames: 19259392. Throughput: 0: 10330.9. Samples: 19250688. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0)
+[2026-06-04 15:16:22,508][648971] Avg episode reward: [(0, '8803.400')]
+[2026-06-04 15:16:25,634][649981] Updated weights for policy 0, policy_version 37680 (0.0010)
+[2026-06-04 15:16:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 19300352. Throughput: 0: 10308.3. Samples: 19312640. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0)
+[2026-06-04 15:16:27,507][648971] Avg episode reward: [(0, '8853.900')]
+[2026-06-04 15:16:31,775][649981] Updated weights for policy 0, policy_version 37761 (0.0009)
+[2026-06-04 15:16:32,506][648971] Fps is (10 sec: 10650.2, 60 sec: 10376.5, 300 sec: 10358.0). Total num frames: 19365888. Throughput: 0: 10296.9. Samples: 19342336. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0)
+[2026-06-04 15:16:32,507][648971] Avg episode reward: [(0, '8814.500')]
+[2026-06-04 15:16:35,205][649981] Updated weights for policy 0, policy_version 37872 (0.0010)
+[2026-06-04 15:16:37,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10330.3). Total num frames: 19398656. Throughput: 0: 10217.3. Samples: 19403776. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0)
+[2026-06-04 15:16:37,507][648971] Avg episode reward: [(0, '8688.850')]
+[2026-06-04 15:16:38,765][649981] Updated weights for policy 0, policy_version 37947 (0.0011)
+[2026-06-04 15:16:42,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 19464192. Throughput: 0: 10171.7. Samples: 19464704. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 15:16:42,507][648971] Avg episode reward: [(0, '8721.500')]
+[2026-06-04 15:16:44,940][649981] Updated weights for policy 0, policy_version 38032 (0.0010)
+[2026-06-04 15:16:47,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10330.3). Total num frames: 19496960. Throughput: 0: 10137.6. Samples: 19494912. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 15:16:47,507][648971] Avg episode reward: [(0, '8717.450')]
+[2026-06-04 15:16:48,661][649981] Updated weights for policy 0, policy_version 38132 (0.0011)
+[2026-06-04 15:16:52,507][648971] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 19562496. Throughput: 0: 10069.4. Samples: 19552256. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 15:16:52,507][648971] Avg episode reward: [(0, '8641.700')]
+[2026-06-04 15:16:54,983][649981] Updated weights for policy 0, policy_version 38224 (0.0011)
+[2026-06-04 15:16:57,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 10330.3). Total num frames: 19595264. Throughput: 0: 10035.2. Samples: 19612160. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 15:16:57,507][648971] Avg episode reward: [(0, '8667.500')]
+[2026-06-04 15:16:58,409][649981] Updated weights for policy 0, policy_version 38304 (0.0012)
+[2026-06-04 15:17:01,811][649981] Updated weights for policy 0, policy_version 38395 (0.0010)
+[2026-06-04 15:17:02,506][648971] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 19660800. Throughput: 0: 10035.2. Samples: 19641856. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 15:17:02,507][648971] Avg episode reward: [(0, '8685.300')]
+[2026-06-04 15:17:04,662][649901] Signal inference workers to stop experience collection... (1800 times)
+[2026-06-04 15:17:04,689][649981] InferenceWorker_p0-w0: stopping experience collection (1800 times)
+[2026-06-04 15:17:04,792][649901] Signal inference workers to resume experience collection... (1800 times)
+[2026-06-04 15:17:04,793][649981] InferenceWorker_p0-w0: resuming experience collection (1800 times)
+[2026-06-04 15:17:07,507][648971] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 10219.2). Total num frames: 19693568. Throughput: 0: 10001.1. Samples: 19700736. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 15:17:07,507][648971] Avg episode reward: [(0, '8722.300')]
+[2026-06-04 15:17:08,185][649981] Updated weights for policy 0, policy_version 38480 (0.0013)
+[2026-06-04 15:17:11,788][649981] Updated weights for policy 0, policy_version 38583 (0.0012)
+[2026-06-04 15:17:12,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 19759104. Throughput: 0: 9944.2. Samples: 19760128. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0)
+[2026-06-04 15:17:12,507][648971] Avg episode reward: [(0, '8786.300')]
+[2026-06-04 15:17:15,197][649981] Updated weights for policy 0, policy_version 38649 (0.0011)
+[2026-06-04 15:17:17,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 10219.2). Total num frames: 19791872. Throughput: 0: 9966.9. Samples: 19790848. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0)
+[2026-06-04 15:17:17,507][648971] Avg episode reward: [(0, '8728.500')]
+[2026-06-04 15:17:18,662][649981] Updated weights for policy 0, policy_version 38720 (0.0007)
+[2026-06-04 15:17:22,507][648971] Fps is (10 sec: 9830.2, 60 sec: 9967.0, 300 sec: 10330.2). Total num frames: 19857408. Throughput: 0: 9887.3. Samples: 19848704. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0)
+[2026-06-04 15:17:22,507][648971] Avg episode reward: [(0, '8585.350')]
+[2026-06-04 15:17:25,052][649981] Updated weights for policy 0, policy_version 38816 (0.0011)
+[2026-06-04 15:17:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10219.2). Total num frames: 19890176. Throughput: 0: 9819.0. Samples: 19906560. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0)
+[2026-06-04 15:17:27,507][648971] Avg episode reward: [(0, '8636.000')]
+[2026-06-04 15:17:28,500][649981] Updated weights for policy 0, policy_version 38900 (0.0011)
+[2026-06-04 15:17:31,887][649981] Updated weights for policy 0, policy_version 38976 (0.0008)
+[2026-06-04 15:17:32,506][648971] Fps is (10 sec: 9830.7, 60 sec: 9830.4, 300 sec: 10330.3). Total num frames: 19955712. Throughput: 0: 9841.8. Samples: 19937792. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0)
+[2026-06-04 15:17:32,507][648971] Avg episode reward: [(0, '8659.200')]
+[2026-06-04 15:17:37,506][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 10219.2). Total num frames: 19988480. Throughput: 0: 9819.0. Samples: 19994112. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0)
+[2026-06-04 15:17:37,507][648971] Avg episode reward: [(0, '8670.550')]
+[2026-06-04 15:17:38,462][649981] Updated weights for policy 0, policy_version 39072 (0.0010)
+[2026-06-04 15:17:42,164][649981] Updated weights for policy 0, policy_version 39163 (0.0010)
+[2026-06-04 15:17:42,506][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 10274.7). Total num frames: 20054016. Throughput: 0: 9807.6. Samples: 20053504. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0)
+[2026-06-04 15:17:42,507][648971] Avg episode reward: [(0, '8735.100')]
+[2026-06-04 15:17:47,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 10219.2). Total num frames: 20086784. Throughput: 0: 9739.4. Samples: 20080128. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0)
+[2026-06-04 15:17:47,507][648971] Avg episode reward: [(0, '8681.650')]
+[2026-06-04 15:17:48,989][649981] Updated weights for policy 0, policy_version 39248 (0.0012)
+[2026-06-04 15:17:52,507][648971] Fps is (10 sec: 8191.8, 60 sec: 9557.3, 300 sec: 10163.6). Total num frames: 20135936. Throughput: 0: 9659.7. Samples: 20135424. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0)
+[2026-06-04 15:17:52,508][648971] Avg episode reward: [(0, '8873.750')]
+[2026-06-04 15:17:52,568][649981] Updated weights for policy 0, policy_version 39344 (0.0012)
+[2026-06-04 15:17:52,762][649901] Saving new best policy, reward=8873.750!
+[2026-06-04 15:17:55,965][649981] Updated weights for policy 0, policy_version 39422 (0.0010)
+[2026-06-04 15:17:57,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10219.2). Total num frames: 20185088. Throughput: 0: 9659.7. Samples: 20194816. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0)
+[2026-06-04 15:17:57,507][648971] Avg episode reward: [(0, '8956.950')]
+[2026-06-04 15:17:57,511][649901] Saving new best policy, reward=8956.950!
+[2026-06-04 15:17:59,106][649901] Signal inference workers to stop experience collection... (1850 times)
+[2026-06-04 15:17:59,136][649981] InferenceWorker_p0-w0: stopping experience collection (1850 times)
+[2026-06-04 15:17:59,215][649901] Signal inference workers to resume experience collection... (1850 times)
+[2026-06-04 15:17:59,216][649981] InferenceWorker_p0-w0: resuming experience collection (1850 times)
+[2026-06-04 15:18:02,073][649981] Updated weights for policy 0, policy_version 39504 (0.0009)
+[2026-06-04 15:18:02,506][648971] Fps is (10 sec: 11469.1, 60 sec: 9830.4, 300 sec: 10219.2). Total num frames: 20250624. Throughput: 0: 9625.6. Samples: 20224000. Policy #0 lag: (min: 13.0, avg: 16.8, max: 77.0)
+[2026-06-04 15:18:02,507][648971] Avg episode reward: [(0, '9036.100')]
+[2026-06-04 15:18:02,511][649901] Saving new best policy, reward=9036.100!
+[2026-06-04 15:18:05,455][649981] Updated weights for policy 0, policy_version 39602 (0.0010)
+[2026-06-04 15:18:07,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10219.2). Total num frames: 20283392. Throughput: 0: 9739.4. Samples: 20286976. Policy #0 lag: (min: 13.0, avg: 16.8, max: 77.0)
+[2026-06-04 15:18:07,508][648971] Avg episode reward: [(0, '9241.700')]
+[2026-06-04 15:18:07,512][649901] Saving new best policy, reward=9241.700!
+[2026-06-04 15:18:08,785][649981] Updated weights for policy 0, policy_version 39678 (0.0010)
+[2026-06-04 15:18:12,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10219.2). Total num frames: 20348928. Throughput: 0: 9864.5. Samples: 20350464. Policy #0 lag: (min: 13.0, avg: 16.8, max: 77.0)
+[2026-06-04 15:18:12,507][648971] Avg episode reward: [(0, '8935.700')]
+[2026-06-04 15:18:14,581][649981] Updated weights for policy 0, policy_version 39760 (0.0010)
+[2026-06-04 15:18:17,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 20381696. Throughput: 0: 9887.3. Samples: 20382720. Policy #0 lag: (min: 13.0, avg: 16.8, max: 77.0)
+[2026-06-04 15:18:17,507][648971] Avg episode reward: [(0, '8759.250')]
+[2026-06-04 15:18:17,961][649981] Updated weights for policy 0, policy_version 39863 (0.0010)
+[2026-06-04 15:18:22,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10219.2). Total num frames: 20447232. Throughput: 0: 10035.2. Samples: 20445696. Policy #0 lag: (min: 13.0, avg: 16.8, max: 77.0)
+[2026-06-04 15:18:22,507][648971] Avg episode reward: [(0, '9283.700')]
+[2026-06-04 15:18:22,512][649901] Saving new best policy, reward=9283.700!
+[2026-06-04 15:18:24,177][649981] Updated weights for policy 0, policy_version 39952 (0.0007)
+[2026-06-04 15:18:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 20480000. Throughput: 0: 10012.4. Samples: 20504064. Policy #0 lag: (min: 13.0, avg: 16.8, max: 77.0)
+[2026-06-04 15:18:27,507][648971] Avg episode reward: [(0, '9596.750')]
+[2026-06-04 15:18:27,643][649901] Saving new best policy, reward=9556.950!
+[2026-06-04 15:18:27,763][649981] Updated weights for policy 0, policy_version 40048 (0.0011)
+[2026-06-04 15:18:31,122][649981] Updated weights for policy 0, policy_version 40120 (0.0011)
+[2026-06-04 15:18:32,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10219.2). Total num frames: 20545536. Throughput: 0: 10103.5. Samples: 20534784. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:18:32,507][648971] Avg episode reward: [(0, '9681.100')]
+[2026-06-04 15:18:32,511][649901] Saving new best policy, reward=9681.100!
+[2026-06-04 15:18:37,373][649981] Updated weights for policy 0, policy_version 40208 (0.0010)
+[2026-06-04 15:18:37,506][648971] Fps is (10 sec: 11468.8, 60 sec: 10103.5, 300 sec: 10163.6). Total num frames: 20594688. Throughput: 0: 10183.2. Samples: 20593664. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:18:37,508][648971] Avg episode reward: [(0, '9849.350')]
+[2026-06-04 15:18:37,775][649901] Saving new best policy, reward=9849.350!
+[2026-06-04 15:18:40,958][649981] Updated weights for policy 0, policy_version 40290 (0.0011)
+[2026-06-04 15:18:42,507][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 20643840. Throughput: 0: 10148.9. Samples: 20651520. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:18:42,508][648971] Avg episode reward: [(0, '10119.850')]
+[2026-06-04 15:18:42,515][649901] Saving new best policy, reward=10119.850!
+[2026-06-04 15:18:44,273][649981] Updated weights for policy 0, policy_version 40382 (0.0011)
+[2026-06-04 15:18:47,506][648971] Fps is (10 sec: 10649.6, 60 sec: 10240.0, 300 sec: 10191.4). Total num frames: 20701184. Throughput: 0: 10217.2. Samples: 20683776. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:18:47,507][648971] Avg episode reward: [(0, '10295.400')]
+[2026-06-04 15:18:47,582][649901] Saving new best policy, reward=10295.400!
+[2026-06-04 15:18:50,352][649981] Updated weights for policy 0, policy_version 40450 (0.0007)
+[2026-06-04 15:18:52,507][648971] Fps is (10 sec: 9830.5, 60 sec: 10103.5, 300 sec: 10108.1). Total num frames: 20742144. Throughput: 0: 10160.4. Samples: 20744192. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:18:52,508][648971] Avg episode reward: [(0, '10071.350')]
+[2026-06-04 15:18:53,704][649901] Signal inference workers to stop experience collection... (1900 times)
+[2026-06-04 15:18:53,705][649981] Updated weights for policy 0, policy_version 40528 (0.0010)
+[2026-06-04 15:18:53,733][649981] InferenceWorker_p0-w0: stopping experience collection (1900 times)
+[2026-06-04 15:18:53,818][649901] Signal inference workers to resume experience collection... (1900 times)
+[2026-06-04 15:18:53,819][649981] InferenceWorker_p0-w0: resuming experience collection (1900 times)
+[2026-06-04 15:18:57,036][649981] Updated weights for policy 0, policy_version 40608 (0.0007)
+[2026-06-04 15:18:57,506][648971] Fps is (10 sec: 10649.6, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 20807680. Throughput: 0: 10114.8. Samples: 20805632. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0)
+[2026-06-04 15:18:57,507][648971] Avg episode reward: [(0, '9893.050')]
+[2026-06-04 15:19:00,319][649981] Updated weights for policy 0, policy_version 40692 (0.0010)
+[2026-06-04 15:19:02,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 20840448. Throughput: 0: 10103.5. Samples: 20837376. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0)
+[2026-06-04 15:19:02,507][648971] Avg episode reward: [(0, '9728.700')]
+[2026-06-04 15:19:06,688][649981] Updated weights for policy 0, policy_version 40784 (0.0011)
+[2026-06-04 15:19:07,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10135.9). Total num frames: 20905984. Throughput: 0: 9989.7. Samples: 20895232. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0)
+[2026-06-04 15:19:07,507][648971] Avg episode reward: [(0, '9798.800')]
+[2026-06-04 15:19:10,133][649981] Updated weights for policy 0, policy_version 40880 (0.0010)
+[2026-06-04 15:19:12,506][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 20938752. Throughput: 0: 10046.6. Samples: 20956160. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0)
+[2026-06-04 15:19:12,507][648971] Avg episode reward: [(0, '9956.750')]
+[2026-06-04 15:19:13,471][649981] Updated weights for policy 0, policy_version 40951 (0.0009)
+[2026-06-04 15:19:17,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 21004288. Throughput: 0: 10035.2. Samples: 20986368. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0)
+[2026-06-04 15:19:17,507][648971] Avg episode reward: [(0, '10216.550')]
+[2026-06-04 15:19:19,675][649981] Updated weights for policy 0, policy_version 41040 (0.0010)
+[2026-06-04 15:19:22,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 21037056. Throughput: 0: 10058.0. Samples: 21046272. Policy #0 lag: (min: 2.0, avg: 4.8, max: 66.0)
+[2026-06-04 15:19:22,507][648971] Avg episode reward: [(0, '10066.750')]
+[2026-06-04 15:19:23,046][649981] Updated weights for policy 0, policy_version 41120 (0.0006)
+[2026-06-04 15:19:26,560][649981] Updated weights for policy 0, policy_version 41204 (0.0008)
+[2026-06-04 15:19:27,507][648971] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 21102592. Throughput: 0: 10092.1. Samples: 21105664. Policy #0 lag: (min: 2.0, avg: 4.8, max: 66.0)
+[2026-06-04 15:19:27,508][648971] Avg episode reward: [(0, '10078.350')]
+[2026-06-04 15:19:30,207][649981] Updated weights for policy 0, policy_version 41280 (0.0010)
+[2026-06-04 15:19:32,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 21135360. Throughput: 0: 10035.2. Samples: 21135360. Policy #0 lag: (min: 2.0, avg: 4.8, max: 66.0)
+[2026-06-04 15:19:32,507][648971] Avg episode reward: [(0, '10029.850')]
+[2026-06-04 15:19:36,265][649981] Updated weights for policy 0, policy_version 41345 (0.0012)
+[2026-06-04 15:19:37,506][648971] Fps is (10 sec: 9830.5, 60 sec: 10103.5, 300 sec: 10108.1). Total num frames: 21200896. Throughput: 0: 10001.1. Samples: 21194240. Policy #0 lag: (min: 2.0, avg: 4.8, max: 66.0)
+[2026-06-04 15:19:37,507][648971] Avg episode reward: [(0, '10060.000')]
+[2026-06-04 15:19:39,632][649981] Updated weights for policy 0, policy_version 41425 (0.0010)
+[2026-06-04 15:19:42,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 10052.6). Total num frames: 21233664. Throughput: 0: 10012.5. Samples: 21256192. Policy #0 lag: (min: 2.0, avg: 4.8, max: 66.0)
+[2026-06-04 15:19:42,507][648971] Avg episode reward: [(0, '9996.650')]
+[2026-06-04 15:19:42,829][649981] Updated weights for policy 0, policy_version 41504 (0.0010)
+[2026-06-04 15:19:46,387][649981] Updated weights for policy 0, policy_version 41594 (0.0011)
+[2026-06-04 15:19:47,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9966.9, 300 sec: 10108.1). Total num frames: 21299200. Throughput: 0: 9955.5. Samples: 21285376. Policy #0 lag: (min: 2.0, avg: 4.7, max: 66.0)
+[2026-06-04 15:19:47,507][648971] Avg episode reward: [(0, '9679.150')]
+[2026-06-04 15:19:49,008][649901] Signal inference workers to stop experience collection... (1950 times)
+[2026-06-04 15:19:49,035][649981] InferenceWorker_p0-w0: stopping experience collection (1950 times)
+[2026-06-04 15:19:49,138][649901] Signal inference workers to resume experience collection... (1950 times)
+[2026-06-04 15:19:49,139][649981] InferenceWorker_p0-w0: resuming experience collection (1950 times)
+[2026-06-04 15:19:52,420][649981] Updated weights for policy 0, policy_version 41665 (0.0010)
+[2026-06-04 15:19:52,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 21331968. Throughput: 0: 10023.8. Samples: 21346304. Policy #0 lag: (min: 2.0, avg: 4.7, max: 66.0)
+[2026-06-04 15:19:52,507][648971] Avg episode reward: [(0, '9596.150')]
+[2026-06-04 15:19:55,710][649981] Updated weights for policy 0, policy_version 41746 (0.0010)
+[2026-06-04 15:19:57,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 21397504. Throughput: 0: 10023.8. Samples: 21407232. Policy #0 lag: (min: 2.0, avg: 4.7, max: 66.0)
+[2026-06-04 15:19:57,507][648971] Avg episode reward: [(0, '9595.100')]
+[2026-06-04 15:19:59,252][649981] Updated weights for policy 0, policy_version 41844 (0.0011)
+[2026-06-04 15:20:02,506][648971] Fps is (10 sec: 11468.8, 60 sec: 10103.5, 300 sec: 10052.6). Total num frames: 21446656. Throughput: 0: 10001.1. Samples: 21436416. Policy #0 lag: (min: 2.0, avg: 4.7, max: 66.0)
+[2026-06-04 15:20:02,508][648971] Avg episode reward: [(0, '9680.250')]
+[2026-06-04 15:20:02,656][649981] Updated weights for policy 0, policy_version 41915 (0.0012)
+[2026-06-04 15:20:05,975][649981] Updated weights for policy 0, policy_version 41984 (0.0009)
+[2026-06-04 15:20:07,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 21495808. Throughput: 0: 10023.8. Samples: 21497344. Policy #0 lag: (min: 2.0, avg: 4.7, max: 66.0)
+[2026-06-04 15:20:07,507][648971] Avg episode reward: [(0, '9823.450')]
+[2026-06-04 15:20:11,714][649981] Updated weights for policy 0, policy_version 42064 (0.0005)
+[2026-06-04 15:20:12,506][648971] Fps is (10 sec: 11468.8, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 21561344. Throughput: 0: 10137.6. Samples: 21561856. Policy #0 lag: (min: 2.0, avg: 4.7, max: 66.0)
+[2026-06-04 15:20:12,507][648971] Avg episode reward: [(0, '9851.200')]
+[2026-06-04 15:20:15,230][649981] Updated weights for policy 0, policy_version 42160 (0.0010)
+[2026-06-04 15:20:17,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 21594112. Throughput: 0: 10126.2. Samples: 21591040. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0)
+[2026-06-04 15:20:17,507][648971] Avg episode reward: [(0, '9973.550')]
+[2026-06-04 15:20:18,699][649981] Updated weights for policy 0, policy_version 42240 (0.0010)
+[2026-06-04 15:20:22,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 21659648. Throughput: 0: 10149.0. Samples: 21650944. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0)
+[2026-06-04 15:20:22,507][648971] Avg episode reward: [(0, '10023.000')]
+[2026-06-04 15:20:24,824][649981] Updated weights for policy 0, policy_version 42320 (0.0011)
+[2026-06-04 15:20:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 21692416. Throughput: 0: 10103.5. Samples: 21710848. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0)
+[2026-06-04 15:20:27,507][648971] Avg episode reward: [(0, '10170.100')]
+[2026-06-04 15:20:28,340][649981] Updated weights for policy 0, policy_version 42420 (0.0009)
+[2026-06-04 15:20:31,753][649981] Updated weights for policy 0, policy_version 42485 (0.0008)
+[2026-06-04 15:20:32,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 21757952. Throughput: 0: 10114.8. Samples: 21740544. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0)
+[2026-06-04 15:20:32,507][648971] Avg episode reward: [(0, '10026.950')]
+[2026-06-04 15:20:37,313][649981] Updated weights for policy 0, policy_version 42563 (0.0010)
+[2026-06-04 15:20:37,506][648971] Fps is (10 sec: 10649.6, 60 sec: 9966.9, 300 sec: 10024.8). Total num frames: 21798912. Throughput: 0: 10183.1. Samples: 21804544. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0)
+[2026-06-04 15:20:37,507][648971] Avg episode reward: [(0, '10019.550')]
+[2026-06-04 15:20:40,506][649901] Signal inference workers to stop experience collection... (2000 times)
+[2026-06-04 15:20:40,508][649981] Updated weights for policy 0, policy_version 42656 (0.0008)
+[2026-06-04 15:20:40,536][649981] InferenceWorker_p0-w0: stopping experience collection (2000 times)
+[2026-06-04 15:20:40,626][649901] Signal inference workers to resume experience collection... (2000 times)
+[2026-06-04 15:20:40,627][649981] InferenceWorker_p0-w0: resuming experience collection (2000 times)
+[2026-06-04 15:20:42,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 21856256. Throughput: 0: 10262.8. Samples: 21869056. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0)
+[2026-06-04 15:20:42,507][648971] Avg episode reward: [(0, '9834.750')]
+[2026-06-04 15:20:43,775][649981] Updated weights for policy 0, policy_version 42736 (0.0012)
+[2026-06-04 15:20:46,965][649981] Updated weights for policy 0, policy_version 42816 (0.0011)
+[2026-06-04 15:20:47,507][648971] Fps is (10 sec: 12287.8, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 21921792. Throughput: 0: 10319.6. Samples: 21900800. Policy #0 lag: (min: 4.0, avg: 6.9, max: 68.0)
+[2026-06-04 15:20:47,509][648971] Avg episode reward: [(0, '9911.850')]
+[2026-06-04 15:20:52,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 21954560. Throughput: 0: 10387.9. Samples: 21964800. Policy #0 lag: (min: 4.0, avg: 6.9, max: 68.0)
+[2026-06-04 15:20:52,507][648971] Avg episode reward: [(0, '10249.350')]
+[2026-06-04 15:20:52,712][649981] Updated weights for policy 0, policy_version 42896 (0.0011)
+[2026-06-04 15:20:56,161][649981] Updated weights for policy 0, policy_version 42992 (0.0010)
+[2026-06-04 15:20:57,506][648971] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 22020096. Throughput: 0: 10296.9. Samples: 22025216. Policy #0 lag: (min: 4.0, avg: 6.9, max: 68.0)
+[2026-06-04 15:20:57,507][648971] Avg episode reward: [(0, '10150.250')]
+[2026-06-04 15:20:59,674][649981] Updated weights for policy 0, policy_version 43060 (0.0010)
+[2026-06-04 15:21:02,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10103.5, 300 sec: 9997.0). Total num frames: 22052864. Throughput: 0: 10319.6. Samples: 22055424. Policy #0 lag: (min: 4.0, avg: 6.9, max: 68.0)
+[2026-06-04 15:21:02,507][648971] Avg episode reward: [(0, '9913.000')]
+[2026-06-04 15:21:05,951][649981] Updated weights for policy 0, policy_version 43152 (0.0010)
+[2026-06-04 15:21:07,506][648971] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 22118400. Throughput: 0: 10331.0. Samples: 22115840. Policy #0 lag: (min: 4.0, avg: 6.9, max: 68.0)
+[2026-06-04 15:21:07,507][648971] Avg episode reward: [(0, '9795.450')]
+[2026-06-04 15:21:09,756][649981] Updated weights for policy 0, policy_version 43252 (0.0007)
+[2026-06-04 15:21:12,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 22151168. Throughput: 0: 10308.3. Samples: 22174720. Policy #0 lag: (min: 4.0, avg: 6.9, max: 68.0)
+[2026-06-04 15:21:12,507][648971] Avg episode reward: [(0, '9984.950')]
+[2026-06-04 15:21:12,906][649981] Updated weights for policy 0, policy_version 43316 (0.0005)
+[2026-06-04 15:21:16,147][649981] Updated weights for policy 0, policy_version 43392 (0.0008)
+[2026-06-04 15:21:17,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10024.8). Total num frames: 22216704. Throughput: 0: 10319.6. Samples: 22204928. Policy #0 lag: (min: 11.0, avg: 14.0, max: 75.0)
+[2026-06-04 15:21:17,507][648971] Avg episode reward: [(0, '10144.150')]
+[2026-06-04 15:21:22,248][649981] Updated weights for policy 0, policy_version 43474 (0.0007)
+[2026-06-04 15:21:22,506][648971] Fps is (10 sec: 12288.0, 60 sec: 10240.0, 300 sec: 10080.3). Total num frames: 22274048. Throughput: 0: 10262.8. Samples: 22266368. Policy #0 lag: (min: 11.0, avg: 14.0, max: 75.0)
+[2026-06-04 15:21:22,507][648971] Avg episode reward: [(0, '10188.750')]
+[2026-06-04 15:21:25,911][649981] Updated weights for policy 0, policy_version 43568 (0.0012)
+[2026-06-04 15:21:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 22315008. Throughput: 0: 10103.5. Samples: 22323712. Policy #0 lag: (min: 11.0, avg: 14.0, max: 75.0)
+[2026-06-04 15:21:27,507][648971] Avg episode reward: [(0, '10431.500')]
+[2026-06-04 15:21:27,510][649901] Saving new best policy, reward=10431.500!
+[2026-06-04 15:21:29,339][649981] Updated weights for policy 0, policy_version 43640 (0.0009)
+[2026-06-04 15:21:32,506][648971] Fps is (10 sec: 9011.2, 60 sec: 10103.5, 300 sec: 10052.6). Total num frames: 22364160. Throughput: 0: 10058.0. Samples: 22353408. Policy #0 lag: (min: 11.0, avg: 14.0, max: 75.0)
+[2026-06-04 15:21:32,507][648971] Avg episode reward: [(0, '10346.200')]
+[2026-06-04 15:21:35,615][649901] Signal inference workers to stop experience collection... (2050 times)
+[2026-06-04 15:21:35,616][649981] Updated weights for policy 0, policy_version 43728 (0.0010)
+[2026-06-04 15:21:35,644][649981] InferenceWorker_p0-w0: stopping experience collection (2050 times)
+[2026-06-04 15:21:35,735][649901] Signal inference workers to resume experience collection... (2050 times)
+[2026-06-04 15:21:35,736][649981] InferenceWorker_p0-w0: resuming experience collection (2050 times)
+[2026-06-04 15:21:37,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10240.0, 300 sec: 9997.0). Total num frames: 22413312. Throughput: 0: 9978.3. Samples: 22413824. Policy #0 lag: (min: 11.0, avg: 14.0, max: 75.0)
+[2026-06-04 15:21:37,507][648971] Avg episode reward: [(0, '10562.850')]
+[2026-06-04 15:21:37,511][649901] Saving new best policy, reward=10562.850!
+[2026-06-04 15:21:39,394][649981] Updated weights for policy 0, policy_version 43824 (0.0011)
+[2026-06-04 15:21:42,506][648971] Fps is (10 sec: 8192.0, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 22446080. Throughput: 0: 9898.7. Samples: 22470656. Policy #0 lag: (min: 11.0, avg: 14.0, max: 75.0)
+[2026-06-04 15:21:42,507][648971] Avg episode reward: [(0, '11011.000')]
+[2026-06-04 15:21:42,650][649901] Saving new best policy, reward=11011.000!
+[2026-06-04 15:21:43,026][649981] Updated weights for policy 0, policy_version 43904 (0.0010)
+[2026-06-04 15:21:47,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 22511616. Throughput: 0: 9853.2. Samples: 22498816. Policy #0 lag: (min: 0.0, avg: 3.7, max: 64.0)
+[2026-06-04 15:21:47,507][648971] Avg episode reward: [(0, '10934.950')]
+[2026-06-04 15:21:49,601][649981] Updated weights for policy 0, policy_version 44016 (0.0011)
+[2026-06-04 15:21:52,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 22544384. Throughput: 0: 9784.9. Samples: 22556160. Policy #0 lag: (min: 0.0, avg: 3.7, max: 64.0)
+[2026-06-04 15:21:52,507][648971] Avg episode reward: [(0, '10856.400')]
+[2026-06-04 15:21:53,214][649981] Updated weights for policy 0, policy_version 44095 (0.0010)
+[2026-06-04 15:21:56,620][649981] Updated weights for policy 0, policy_version 44160 (0.0009)
+[2026-06-04 15:21:57,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 22609920. Throughput: 0: 9773.5. Samples: 22614528. Policy #0 lag: (min: 0.0, avg: 3.7, max: 64.0)
+[2026-06-04 15:21:57,507][648971] Avg episode reward: [(0, '10668.000')]
+[2026-06-04 15:22:02,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 22642688. Throughput: 0: 9762.1. Samples: 22644224. Policy #0 lag: (min: 0.0, avg: 3.7, max: 64.0)
+[2026-06-04 15:22:02,507][648971] Avg episode reward: [(0, '10811.150')]
+[2026-06-04 15:22:02,730][649981] Updated weights for policy 0, policy_version 44241 (0.0009)
+[2026-06-04 15:22:06,066][649981] Updated weights for policy 0, policy_version 44320 (0.0008)
+[2026-06-04 15:22:07,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 22708224. Throughput: 0: 9750.7. Samples: 22705152. Policy #0 lag: (min: 0.0, avg: 3.7, max: 64.0)
+[2026-06-04 15:22:07,507][648971] Avg episode reward: [(0, '10948.500')]
+[2026-06-04 15:22:09,622][649981] Updated weights for policy 0, policy_version 44407 (0.0007)
+[2026-06-04 15:22:12,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 22740992. Throughput: 0: 9807.6. Samples: 22765056. Policy #0 lag: (min: 0.0, avg: 3.7, max: 64.0)
+[2026-06-04 15:22:12,507][648971] Avg episode reward: [(0, '11232.800')]
+[2026-06-04 15:22:12,651][649901] Saving new best policy, reward=11232.800!
+[2026-06-04 15:22:12,958][649981] Updated weights for policy 0, policy_version 44478 (0.0010)
+[2026-06-04 15:22:17,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 22806528. Throughput: 0: 9796.3. Samples: 22794240. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0)
+[2026-06-04 15:22:17,507][648971] Avg episode reward: [(0, '11428.350')]
+[2026-06-04 15:22:17,511][649901] Saving new best policy, reward=11428.350!
+[2026-06-04 15:22:19,012][649981] Updated weights for policy 0, policy_version 44576 (0.0012)
+[2026-06-04 15:22:22,032][649981] Updated weights for policy 0, policy_version 44641 (0.0008)
+[2026-06-04 15:22:22,506][648971] Fps is (10 sec: 13107.3, 60 sec: 9966.9, 300 sec: 10108.1). Total num frames: 22872064. Throughput: 0: 9864.5. Samples: 22857728. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0)
+[2026-06-04 15:22:22,507][648971] Avg episode reward: [(0, '11727.350')]
+[2026-06-04 15:22:22,510][649901] Saving new best policy, reward=11727.350!
+[2026-06-04 15:22:25,248][649981] Updated weights for policy 0, policy_version 44720 (0.0006)
+[2026-06-04 15:22:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 22904832. Throughput: 0: 10058.0. Samples: 22923264. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0)
+[2026-06-04 15:22:27,507][648971] Avg episode reward: [(0, '11746.200')]
+[2026-06-04 15:22:27,511][649901] Saving new best policy, reward=11746.200!
+[2026-06-04 15:22:28,219][649981] Updated weights for policy 0, policy_version 44788 (0.0005)
+[2026-06-04 15:22:31,028][649901] Signal inference workers to stop experience collection... (2100 times)
+[2026-06-04 15:22:31,056][649981] InferenceWorker_p0-w0: stopping experience collection (2100 times)
+[2026-06-04 15:22:31,167][649901] Signal inference workers to resume experience collection... (2100 times)
+[2026-06-04 15:22:31,167][649981] InferenceWorker_p0-w0: resuming experience collection (2100 times)
+[2026-06-04 15:22:31,546][649981] Updated weights for policy 0, policy_version 44858 (0.0008)
+[2026-06-04 15:22:32,506][648971] Fps is (10 sec: 9830.3, 60 sec: 10103.5, 300 sec: 10108.1). Total num frames: 22970368. Throughput: 0: 10126.2. Samples: 22954496. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0)
+[2026-06-04 15:22:32,507][648971] Avg episode reward: [(0, '11676.700')]
+[2026-06-04 15:22:37,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 23003136. Throughput: 0: 10183.1. Samples: 23014400. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0)
+[2026-06-04 15:22:37,507][648971] Avg episode reward: [(0, '11968.050')]
+[2026-06-04 15:22:37,511][649901] Saving new best policy, reward=11968.050!
+[2026-06-04 15:22:37,875][649981] Updated weights for policy 0, policy_version 44960 (0.0010)
+[2026-06-04 15:22:41,420][649981] Updated weights for policy 0, policy_version 45043 (0.0010)
+[2026-06-04 15:22:42,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 23068672. Throughput: 0: 10183.1. Samples: 23072768. Policy #0 lag: (min: 10.0, avg: 12.9, max: 74.0)
+[2026-06-04 15:22:42,507][648971] Avg episode reward: [(0, '11988.600')]
+[2026-06-04 15:22:42,511][649901] Saving new best policy, reward=11988.600!
+[2026-06-04 15:22:44,893][649981] Updated weights for policy 0, policy_version 45120 (0.0008)
+[2026-06-04 15:22:47,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10052.6). Total num frames: 23101440. Throughput: 0: 10194.5. Samples: 23102976. Policy #0 lag: (min: 10.0, avg: 12.9, max: 74.0)
+[2026-06-04 15:22:47,507][648971] Avg episode reward: [(0, '11724.450')]
+[2026-06-04 15:22:51,127][649981] Updated weights for policy 0, policy_version 45202 (0.0008)
+[2026-06-04 15:22:52,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 23166976. Throughput: 0: 10194.5. Samples: 23163904. Policy #0 lag: (min: 10.0, avg: 12.9, max: 74.0)
+[2026-06-04 15:22:52,507][648971] Avg episode reward: [(0, '11982.800')]
+[2026-06-04 15:22:54,695][649981] Updated weights for policy 0, policy_version 45298 (0.0011)
+[2026-06-04 15:22:57,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 23199744. Throughput: 0: 10149.0. Samples: 23221760. Policy #0 lag: (min: 10.0, avg: 12.9, max: 74.0)
+[2026-06-04 15:22:57,507][648971] Avg episode reward: [(0, '11863.300')]
+[2026-06-04 15:22:58,186][649981] Updated weights for policy 0, policy_version 45375 (0.0010)
+[2026-06-04 15:23:02,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 23265280. Throughput: 0: 10149.0. Samples: 23250944. Policy #0 lag: (min: 10.0, avg: 12.9, max: 74.0)
+[2026-06-04 15:23:02,507][648971] Avg episode reward: [(0, '11914.350')]
+[2026-06-04 15:23:04,518][649981] Updated weights for policy 0, policy_version 45456 (0.0012)
+[2026-06-04 15:23:07,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 23298048. Throughput: 0: 10035.2. Samples: 23309312. Policy #0 lag: (min: 10.0, avg: 12.9, max: 74.0)
+[2026-06-04 15:23:07,507][648971] Avg episode reward: [(0, '11967.800')]
+[2026-06-04 15:23:08,117][649981] Updated weights for policy 0, policy_version 45556 (0.0011)
+[2026-06-04 15:23:12,506][648971] Fps is (10 sec: 9830.5, 60 sec: 10376.6, 300 sec: 10108.1). Total num frames: 23363584. Throughput: 0: 9875.9. Samples: 23367680. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:23:12,507][648971] Avg episode reward: [(0, '12054.900')]
+[2026-06-04 15:23:12,509][649901] Saving new best policy, reward=12054.900!
+[2026-06-04 15:23:14,513][649981] Updated weights for policy 0, policy_version 45648 (0.0013)
+[2026-06-04 15:23:17,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 23396352. Throughput: 0: 9853.1. Samples: 23397888. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:23:17,507][648971] Avg episode reward: [(0, '12472.200')]
+[2026-06-04 15:23:17,511][649901] Saving new best policy, reward=12472.200!
+[2026-06-04 15:23:18,031][649981] Updated weights for policy 0, policy_version 45744 (0.0010)
+[2026-06-04 15:23:21,396][649981] Updated weights for policy 0, policy_version 45808 (0.0009)
+[2026-06-04 15:23:22,506][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 23461888. Throughput: 0: 9841.8. Samples: 23457280. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:23:22,507][648971] Avg episode reward: [(0, '12637.700')]
+[2026-06-04 15:23:22,511][649901] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed14/checkpoint_p0/checkpoint_000045824_23461888.pth...
+[2026-06-04 15:23:22,548][649901] Saving new best policy, reward=12637.700!
+[2026-06-04 15:23:24,538][649901] Signal inference workers to stop experience collection... (2150 times)
+[2026-06-04 15:23:24,567][649981] InferenceWorker_p0-w0: stopping experience collection (2150 times)
+[2026-06-04 15:23:24,683][649901] Signal inference workers to resume experience collection... (2150 times)
+[2026-06-04 15:23:24,684][649981] InferenceWorker_p0-w0: resuming experience collection (2150 times)
+[2026-06-04 15:23:24,864][649981] Updated weights for policy 0, policy_version 45886 (0.0007)
+[2026-06-04 15:23:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 23494656. Throughput: 0: 9864.5. Samples: 23516672. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:23:27,508][648971] Avg episode reward: [(0, '12950.200')]
+[2026-06-04 15:23:27,512][649901] Saving new best policy, reward=12950.200!
+[2026-06-04 15:23:31,211][649981] Updated weights for policy 0, policy_version 46000 (0.0010)
+[2026-06-04 15:23:32,507][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 10052.6). Total num frames: 23560192. Throughput: 0: 9853.1. Samples: 23546368. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:23:32,509][648971] Avg episode reward: [(0, '12951.300')]
+[2026-06-04 15:23:32,513][649901] Saving new best policy, reward=12951.300!
+[2026-06-04 15:23:34,706][649981] Updated weights for policy 0, policy_version 46070 (0.0011)
+[2026-06-04 15:23:37,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 23592960. Throughput: 0: 9796.3. Samples: 23604736. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:23:37,507][648971] Avg episode reward: [(0, '12861.600')]
+[2026-06-04 15:23:38,201][649981] Updated weights for policy 0, policy_version 46144 (0.0010)
+[2026-06-04 15:23:42,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 10024.8). Total num frames: 23658496. Throughput: 0: 9796.3. Samples: 23662592. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0)
+[2026-06-04 15:23:42,507][648971] Avg episode reward: [(0, '12623.600')]
+[2026-06-04 15:23:44,550][649981] Updated weights for policy 0, policy_version 46226 (0.0011)
+[2026-06-04 15:23:47,507][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 23691264. Throughput: 0: 9819.0. Samples: 23692800. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0)
+[2026-06-04 15:23:47,507][648971] Avg episode reward: [(0, '12554.650')]
+[2026-06-04 15:23:47,888][649981] Updated weights for policy 0, policy_version 46304 (0.0011)
+[2026-06-04 15:23:51,062][649981] Updated weights for policy 0, policy_version 46384 (0.0010)
+[2026-06-04 15:23:52,506][648971] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 23756800. Throughput: 0: 9921.4. Samples: 23755776. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0)
+[2026-06-04 15:23:52,507][648971] Avg episode reward: [(0, '12629.550')]
+[2026-06-04 15:23:54,089][649981] Updated weights for policy 0, policy_version 46453 (0.0009)
+[2026-06-04 15:23:57,242][649981] Updated weights for policy 0, policy_version 46528 (0.0009)
+[2026-06-04 15:23:57,506][648971] Fps is (10 sec: 13107.3, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 23822336. Throughput: 0: 10080.7. Samples: 23821312. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0)
+[2026-06-04 15:23:57,507][648971] Avg episode reward: [(0, '12594.950')]
+[2026-06-04 15:24:02,506][648971] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 23855104. Throughput: 0: 10092.1. Samples: 23852032. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0)
+[2026-06-04 15:24:02,507][648971] Avg episode reward: [(0, '12168.300')]
+[2026-06-04 15:24:03,511][649981] Updated weights for policy 0, policy_version 46625 (0.0005)
+[2026-06-04 15:24:06,793][649981] Updated weights for policy 0, policy_version 46712 (0.0005)
+[2026-06-04 15:24:07,507][648971] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 23920640. Throughput: 0: 10114.8. Samples: 23912448. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0)
+[2026-06-04 15:24:07,508][648971] Avg episode reward: [(0, '11876.850')]
+[2026-06-04 15:24:12,506][648971] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 23953408. Throughput: 0: 10205.9. Samples: 23975936. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0)
+[2026-06-04 15:24:12,507][648971] Avg episode reward: [(0, '11722.550')]
+[2026-06-04 15:24:12,624][649981] Updated weights for policy 0, policy_version 46800 (0.0009)
+[2026-06-04 15:24:16,047][649981] Updated weights for policy 0, policy_version 46898 (0.0011)
+[2026-06-04 15:24:17,506][648971] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 24018944. Throughput: 0: 10251.4. Samples: 24007680. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0)
+[2026-06-04 15:24:17,507][648971] Avg episode reward: [(0, '11501.350')]
+[2026-06-04 15:24:19,073][649901] Signal inference workers to stop experience collection... (2200 times)
+[2026-06-04 15:24:19,104][649981] InferenceWorker_p0-w0: stopping experience collection (2200 times)
+[2026-06-04 15:24:19,185][649901] Signal inference workers to resume experience collection... (2200 times)
+[2026-06-04 15:24:19,185][649981] InferenceWorker_p0-w0: resuming experience collection (2200 times)
+[2026-06-04 15:24:19,516][649981] Updated weights for policy 0, policy_version 46974 (0.0012)
+[2026-06-04 15:24:22,506][648971] Fps is (10 sec: 12288.1, 60 sec: 10240.0, 300 sec: 10080.3). Total num frames: 24076288. Throughput: 0: 10296.9. Samples: 24068096. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0)
+[2026-06-04 15:24:22,507][648971] Avg episode reward: [(0, '11377.100')]
+[2026-06-04 15:24:25,467][649981] Updated weights for policy 0, policy_version 47074 (0.0011)
+[2026-06-04 15:24:27,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 24117248. Throughput: 0: 10410.7. Samples: 24131072. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0)
+[2026-06-04 15:24:27,507][648971] Avg episode reward: [(0, '11737.900')]
+[2026-06-04 15:24:28,468][649981] Updated weights for policy 0, policy_version 47138 (0.0008)
+[2026-06-04 15:24:31,738][649981] Updated weights for policy 0, policy_version 47224 (0.0007)
+[2026-06-04 15:24:32,506][648971] Fps is (10 sec: 10649.6, 60 sec: 10376.6, 300 sec: 10108.1). Total num frames: 24182784. Throughput: 0: 10467.6. Samples: 24163840. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0)
+[2026-06-04 15:24:32,507][648971] Avg episode reward: [(0, '11947.400')]
+[2026-06-04 15:24:34,975][649981] Updated weights for policy 0, policy_version 47296 (0.0013)
+[2026-06-04 15:24:37,506][648971] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 24215552. Throughput: 0: 10467.6. Samples: 24226816. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0)
+[2026-06-04 15:24:37,507][648971] Avg episode reward: [(0, '12326.200')]
+[2026-06-04 15:24:40,659][649981] Updated weights for policy 0, policy_version 47376 (0.0011)
+[2026-06-04 15:24:42,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 24281088. Throughput: 0: 10422.0. Samples: 24290304. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0)
+[2026-06-04 15:24:42,507][648971] Avg episode reward: [(0, '12100.700')]
+[2026-06-04 15:24:44,186][649981] Updated weights for policy 0, policy_version 47472 (0.0009)
+[2026-06-04 15:24:47,464][649981] Updated weights for policy 0, policy_version 47552 (0.0009)
+[2026-06-04 15:24:47,506][648971] Fps is (10 sec: 13107.2, 60 sec: 10922.7, 300 sec: 10219.2). Total num frames: 24346624. Throughput: 0: 10399.3. Samples: 24320000. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:24:47,507][648971] Avg episode reward: [(0, '12609.150')]
+[2026-06-04 15:24:52,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 24379392. Throughput: 0: 10467.6. Samples: 24383488. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:24:52,507][648971] Avg episode reward: [(0, '12415.900')]
+[2026-06-04 15:24:53,251][649981] Updated weights for policy 0, policy_version 47632 (0.0008)
+[2026-06-04 15:24:56,710][649981] Updated weights for policy 0, policy_version 47728 (0.0008)
+[2026-06-04 15:24:57,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10163.6). Total num frames: 24444928. Throughput: 0: 10456.2. Samples: 24446464. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:24:57,507][648971] Avg episode reward: [(0, '12209.400')]
+[2026-06-04 15:24:59,936][649981] Updated weights for policy 0, policy_version 47796 (0.0009)
+[2026-06-04 15:25:02,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 24477696. Throughput: 0: 10467.5. Samples: 24478720. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:25:02,507][648971] Avg episode reward: [(0, '12497.850')]
+[2026-06-04 15:25:03,161][649981] Updated weights for policy 0, policy_version 47866 (0.0010)
+[2026-06-04 15:25:07,506][648971] Fps is (10 sec: 9830.5, 60 sec: 10376.6, 300 sec: 10108.1). Total num frames: 24543232. Throughput: 0: 10524.4. Samples: 24541696. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:25:07,507][648971] Avg episode reward: [(0, '12977.700')]
+[2026-06-04 15:25:07,510][649901] Saving new best policy, reward=12977.700!
+[2026-06-04 15:25:08,954][649981] Updated weights for policy 0, policy_version 47952 (0.0009)
+[2026-06-04 15:25:11,958][649901] Signal inference workers to stop experience collection... (2250 times)
+[2026-06-04 15:25:11,987][649981] InferenceWorker_p0-w0: stopping experience collection (2250 times)
+[2026-06-04 15:25:12,087][649901] Signal inference workers to resume experience collection... (2250 times)
+[2026-06-04 15:25:12,088][649981] InferenceWorker_p0-w0: resuming experience collection (2250 times)
+[2026-06-04 15:25:12,211][649981] Updated weights for policy 0, policy_version 48032 (0.0009)
+[2026-06-04 15:25:12,506][648971] Fps is (10 sec: 12288.0, 60 sec: 10786.1, 300 sec: 10191.4). Total num frames: 24600576. Throughput: 0: 10524.4. Samples: 24604672. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0)
+[2026-06-04 15:25:12,507][648971] Avg episode reward: [(0, '13112.950')]
+[2026-06-04 15:25:12,511][649901] Saving new best policy, reward=13112.950!
+[2026-06-04 15:25:15,575][649981] Updated weights for policy 0, policy_version 48119 (0.0010)
+[2026-06-04 15:25:17,507][648971] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 24641536. Throughput: 0: 10478.9. Samples: 24635392. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 15:25:17,507][648971] Avg episode reward: [(0, '12596.450')]
+[2026-06-04 15:25:18,792][649981] Updated weights for policy 0, policy_version 48192 (0.0009)
+[2026-06-04 15:25:22,506][648971] Fps is (10 sec: 10649.6, 60 sec: 10513.1, 300 sec: 10219.2). Total num frames: 24707072. Throughput: 0: 10467.6. Samples: 24697856. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 15:25:22,507][648971] Avg episode reward: [(0, '12420.650')]
+[2026-06-04 15:25:24,795][649981] Updated weights for policy 0, policy_version 48288 (0.0009)
+[2026-06-04 15:25:27,506][648971] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 24739840. Throughput: 0: 10422.1. Samples: 24759296. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 15:25:27,507][648971] Avg episode reward: [(0, '12482.950')]
+[2026-06-04 15:25:28,199][649981] Updated weights for policy 0, policy_version 48368 (0.0011)
+[2026-06-04 15:25:31,468][649981] Updated weights for policy 0, policy_version 48442 (0.0008)
+[2026-06-04 15:25:32,507][648971] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10191.4). Total num frames: 24805376. Throughput: 0: 10444.8. Samples: 24790016. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 15:25:32,509][648971] Avg episode reward: [(0, '12311.600')]
+[2026-06-04 15:25:37,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 24838144. Throughput: 0: 10365.2. Samples: 24849920. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 15:25:37,507][648971] Avg episode reward: [(0, '13138.850')]
+[2026-06-04 15:25:37,511][649901] Saving new best policy, reward=13138.850!
+[2026-06-04 15:25:37,618][649981] Updated weights for policy 0, policy_version 48513 (0.0009)
+[2026-06-04 15:25:41,061][649981] Updated weights for policy 0, policy_version 48624 (0.0008)
+[2026-06-04 15:25:42,506][648971] Fps is (10 sec: 9830.6, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 24903680. Throughput: 0: 10319.6. Samples: 24910848. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0)
+[2026-06-04 15:25:42,507][648971] Avg episode reward: [(0, '13283.200')]
+[2026-06-04 15:25:42,511][649901] Saving new best policy, reward=13283.200!
+[2026-06-04 15:25:44,429][649981] Updated weights for policy 0, policy_version 48698 (0.0010)
+[2026-06-04 15:25:47,506][648971] Fps is (10 sec: 12288.0, 60 sec: 10240.0, 300 sec: 10191.4). Total num frames: 24961024. Throughput: 0: 10274.1. Samples: 24941056. Policy #0 lag: (min: 10.0, avg: 13.3, max: 74.0)
+[2026-06-04 15:25:47,507][648971] Avg episode reward: [(0, '12734.850')]
+[2026-06-04 15:25:50,429][649981] Updated weights for policy 0, policy_version 48784 (0.0011)
+[2026-06-04 15:25:52,506][648971] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 25001984. Throughput: 0: 10262.7. Samples: 25003520. Policy #0 lag: (min: 10.0, avg: 13.3, max: 74.0)
+[2026-06-04 15:25:52,507][648971] Avg episode reward: [(0, '12619.500')]
+[2026-06-04 15:25:53,616][649901] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000
+[2026-06-04 15:25:53,617][649980] Stopping RolloutWorker_w0...
+[2026-06-04 15:25:53,618][649980] Loop rollout_proc0_evt_loop terminating...
+[2026-06-04 15:25:53,618][648971] Component RolloutWorker_w0 stopped!
+[2026-06-04 15:25:53,618][649901] Stopping Batcher_0...
+[2026-06-04 15:25:53,618][648971] Component Batcher_0 stopped!
+[2026-06-04 15:25:53,619][649901] Loop batcher_evt_loop terminating...
+[2026-06-04 15:25:53,701][649981] Weights refcount: 2 0
+[2026-06-04 15:25:53,702][649981] Stopping InferenceWorker_p0-w0...
+[2026-06-04 15:25:53,703][649981] Loop inference_proc0-0_evt_loop terminating...
+[2026-06-04 15:25:53,703][648971] Component InferenceWorker_p0-w0 stopped!
+[2026-06-04 15:25:53,705][649901] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000
+[2026-06-04 15:25:53,706][649901] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed14/checkpoint_p0/checkpoint_000048864_25018368.pth...
+[2026-06-04 15:25:53,795][649901] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000
+[2026-06-04 15:25:53,796][649901] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed14/checkpoint_p0/checkpoint_000048880_25026560.pth...
+[2026-06-04 15:25:53,813][649901] Removing results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed14/checkpoint_p0/checkpoint_000010240_5242880.pth
+[2026-06-04 15:25:53,816][649901] Stopping LearnerWorker_p0...
+[2026-06-04 15:25:53,816][649901] Loop learner_proc0_evt_loop terminating...
+[2026-06-04 15:25:53,816][648971] Component LearnerWorker_p0 stopped!
+[2026-06-04 15:25:53,817][648971] Waiting for process learner_proc0 to stop...
+[2026-06-04 15:25:54,620][648971] Waiting for process inference_proc0-0 to join...
+[2026-06-04 15:25:54,621][648971] Waiting for process rollout_proc0 to join...
+[2026-06-04 15:25:54,621][648971] Batcher 0 profile tree view:
+batching: 1.5694, releasing_batches: 1.6407
+[2026-06-04 15:25:54,622][648971] InferenceWorker_p0-w0 profile tree view:
+wait_policy: 0.0051
+  wait_policy_total: 2247.6382
+update_model: 8.1121
+  weight_update: 0.0012
+one_step: 0.0044
+  handle_policy_step: 102.2824
+    deserialize: 2.2734, stack: 0.1134, obs_to_device_normalize: 21.5944, forward: 53.0065, prepare_outputs: 16.2856, send_messages: 3.3676
+[2026-06-04 15:25:54,622][648971] Learner 0 profile tree view:
+misc: 0.0102, prepare_batch: 60.3659
+train: 371.8323
+  epoch_init: 0.0569, minibatch_init: 2.8657, losses_postprocess: 87.1759, kl_divergence: 83.0149, update: 123.3195, after_optimizer: 27.7173
+  calculate_losses: 44.1763
+    losses_init: 0.0855, forward_head: 13.8626, bptt_initial: 0.4529, bptt: 0.4358, tail: 9.9711, advantages_returns: 3.3018, losses: 12.6511
+[2026-06-04 15:25:54,623][648971] RolloutWorker_w0 profile tree view:
+wait_for_trajectories: 0.0404, enqueue_policy_requests: 9.2329, process_policy_outputs: 4.1721, env_step: 2296.0906, finalize_trajectories: 0.0858, complete_rollouts: 0.0867
+post_env_step: 13.2978
+  process_env_step: 4.7917
+[2026-06-04 15:25:54,624][648971] Loop Runner_EvtLoop terminating...
+[2026-06-04 15:25:54,625][648971] Runner profile tree view:
+main_loop: 2548.0178
+[2026-06-04 15:25:54,626][648971] Collected {0: 25026560}, FPS: 9822.0