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15185.0, "return": 15185.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 21, "episode_idx": 23, "latency_raw_frames": 6, "length": 3590, "raw_frames": 21540, "raw_return": 8510.0, "return": 8510.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 173, "episode_idx": 23, "latency_raw_frames": 5, "length": 3184, "raw_frames": 19104, "raw_return": 9205.0, "return": 9205.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 171, "episode_idx": 21, "latency_raw_frames": 4, "length": 2782, "raw_frames": 16692, "raw_return": 5330.0, "return": 5330.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 254, "episode_idx": 25, "latency_raw_frames": 6, "length": 3480, "raw_frames": 20880, "raw_return": 9310.0, "return": 9310.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 479, "episode_idx": 24, "latency_raw_frames": 3, "length": 3892, "raw_frames": 23352, "raw_return": 10820.0, "return": 10820.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 412, "episode_idx": 21, "latency_raw_frames": 6, "length": 9744, "raw_frames": 58464, "raw_return": 37455.0, "return": 37455.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 265, "episode_idx": 23, "latency_raw_frames": 5, "length": 5160, "raw_frames": 30960, "raw_return": 16960.0, "return": 16960.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 481, "episode_idx": 22, "latency_raw_frames": 4, "length": 7954, "raw_frames": 47724, "raw_return": 28870.0, "return": 28870.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 422, "episode_idx": 25, "latency_raw_frames": 4, "length": 3495, "raw_frames": 20970, "raw_return": 9355.0, "return": 9355.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 452, "episode_idx": 23, "latency_raw_frames": 6, "length": 2982, "raw_frames": 17892, "raw_return": 7670.0, "return": 7670.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 116, "episode_idx": 24, "latency_raw_frames": 5, "length": 7764, "raw_frames": 46584, "raw_return": 27105.0, "return": 27105.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 93, "episode_idx": 24, "latency_raw_frames": 4, "length": 4626, "raw_frames": 27756, "raw_return": 14805.0, "return": 14805.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 460, "episode_idx": 23, "latency_raw_frames": 6, "length": 2795, "raw_frames": 16770, "raw_return": 6620.0, "return": 6620.0, "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:seed13/git.diff b/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:uniform_u2_6:fs4:obs10:stride6:seed13/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:seed13/git.diff +++ b/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:uniform_u2_6:fs4:obs10:stride6:seed13/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:seed13/sf_log.txt b/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:uniform_u2_6:fs4:obs10:stride6:seed13/sf_log.txt index bc97ccda771b060beef229374908efe6d562f809..411b920e1de978dd962a84d4c76c79951cc086a7 100644 --- a/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:uniform_u2_6:fs4:obs10:stride6:seed13/sf_log.txt +++ b/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:uniform_u2_6:fs4:obs10:stride6:seed13/sf_log.txt @@ -1,26 +1,26 @@ -[2026-06-03 02:23:07,771][690149] Saving configuration to results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed13/config.json... -[2026-06-03 02:23:07,837][690149] Using GPUs [0] for process 0 (actually maps to GPUs [7]) -[2026-06-03 02:23:07,838][690149] Rollout worker 0 uses device cuda:0 -[2026-06-03 02:23:08,739][690149] Using GPUs [0] for process 0 (actually maps to GPUs [7]) -[2026-06-03 02:23:08,739][690149] InferenceWorker_p0-w0: min num requests: 1 -[2026-06-03 02:23:08,744][690149] Using GPUs [0] for process 0 (actually maps to GPUs [7]) -[2026-06-03 02:23:08,745][690149] Starting all processes... -[2026-06-03 02:23:08,745][690149] Starting process learner_proc0 -[2026-06-03 02:23:09,832][690149] Starting all processes... -[2026-06-03 02:23:09,835][690149] Starting process inference_proc0-0 -[2026-06-03 02:23:09,836][690149] Starting process rollout_proc0 -[2026-06-03 02:23:10,331][691029] Using GPUs [0] for process 0 (actually maps to GPUs [7]) -[2026-06-03 02:23:10,331][691029] Set environment var CUDA_VISIBLE_DEVICES to '7' (GPU indices [0]) for learning process 0 -[2026-06-03 02:23:10,331][691029] Num visible devices: 1 -[2026-06-03 02:23:10,332][691029] Setting fixed seed 13 -[2026-06-03 02:23:10,333][691029] Using GPUs [0] for process 0 (actually maps to GPUs [7]) -[2026-06-03 02:23:10,333][691029] Initializing actor-critic model on device cuda:0 -[2026-06-03 02:23:10,333][691029] RunningMeanStd input shape: (4, 84, 84) -[2026-06-03 02:23:10,363][691029] RunningMeanStd input shape: (1,) -[2026-06-03 02:23:10,371][691029] ConvEncoder: input_channels=4 -[2026-06-03 02:23:10,431][691029] Conv encoder output size: 512 -[2026-06-03 02:23:10,433][691029] Created Actor Critic model with architecture: -[2026-06-03 02:23:10,433][691029] ActorCriticSharedWeights( +[2026-06-04 14:41:33,077][645820] Saving configuration to results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed13/config.json... +[2026-06-04 14:41:33,144][645820] Using GPUs [0] for process 0 (actually maps to GPUs [7]) +[2026-06-04 14:41:33,145][645820] Rollout worker 0 uses device cuda:0 +[2026-06-04 14:41:34,021][645820] Using GPUs [0] for process 0 (actually maps to GPUs [7]) +[2026-06-04 14:41:34,022][645820] InferenceWorker_p0-w0: min num requests: 1 +[2026-06-04 14:41:34,026][645820] Using GPUs [0] for process 0 (actually maps to GPUs [7]) +[2026-06-04 14:41:34,027][645820] Starting all processes... +[2026-06-04 14:41:34,027][645820] Starting process learner_proc0 +[2026-06-04 14:41:35,056][645820] Starting all processes... +[2026-06-04 14:41:35,060][645820] Starting process inference_proc0-0 +[2026-06-04 14:41:35,060][645820] Starting process rollout_proc0 +[2026-06-04 14:41:35,538][646750] Using GPUs [0] for process 0 (actually maps to GPUs [7]) +[2026-06-04 14:41:35,538][646750] Set environment var CUDA_VISIBLE_DEVICES to '7' (GPU indices [0]) for learning process 0 +[2026-06-04 14:41:35,538][646750] Num visible devices: 1 +[2026-06-04 14:41:35,539][646750] Setting fixed seed 13 +[2026-06-04 14:41:35,540][646750] Using GPUs [0] for process 0 (actually maps to GPUs [7]) +[2026-06-04 14:41:35,540][646750] Initializing actor-critic model on device cuda:0 +[2026-06-04 14:41:35,540][646750] RunningMeanStd input shape: (4, 84, 84) +[2026-06-04 14:41:35,571][646750] RunningMeanStd input shape: (1,) +[2026-06-04 14:41:35,579][646750] ConvEncoder: input_channels=4 +[2026-06-04 14:41:35,640][646750] Conv encoder output size: 512 +[2026-06-04 14:41:35,641][646750] Created Actor Critic model with architecture: +[2026-06-04 14:41:35,641][646750] ActorCriticSharedWeights( (obs_normalizer): ObservationNormalizer( (running_mean_std): RunningMeanStdDictInPlace( (running_mean_std): ModuleDict( @@ -61,1804 +61,1992 @@ (distribution_linear): Linear(in_features=512, out_features=6, bias=True) ) ) -[2026-06-03 02:23:10,436][691029] Using optimizer -[2026-06-03 02:23:11,249][691029] No checkpoints found -[2026-06-03 02:23:11,249][691029] Did not load from checkpoint, starting from scratch! -[2026-06-03 02:23:11,250][691029] Initialized policy 0 weights for model version 0 -[2026-06-03 02:23:11,252][691029] LearnerWorker_p0 finished initialization! -[2026-06-03 02:23:11,252][691029] Using GPUs [0] for process 0 (actually maps to GPUs [7]) -[2026-06-03 02:23:11,518][691101] 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 02:23:11,518][691101] Using GPUs [0] for process 0 (actually maps to GPUs [7]) -[2026-06-03 02:23:11,518][691101] Set environment var CUDA_VISIBLE_DEVICES to '7' (GPU indices [0]) for actor process 0 -[2026-06-03 02:23:11,518][691101] Num visible devices: 1 -[2026-06-03 02:23:11,523][691100] Using GPUs [0] for process 0 (actually maps to GPUs [7]) -[2026-06-03 02:23:11,524][691100] Set environment var CUDA_VISIBLE_DEVICES to '7' (GPU indices [0]) for inference process 0 -[2026-06-03 02:23:11,524][691100] Num visible devices: 1 -[2026-06-03 02:23:11,525][691100] RunningMeanStd input shape: (4, 84, 84) -[2026-06-03 02:23:11,555][691100] RunningMeanStd input shape: (1,) -[2026-06-03 02:23:11,563][691100] ConvEncoder: input_channels=4 -[2026-06-03 02:23:11,623][691100] Conv encoder output size: 512 -[2026-06-03 02:23:11,627][690149] Inference worker 0-0 is ready! -[2026-06-03 02:23:11,628][690149] All inference workers are ready! Signal rollout workers to start! -[2026-06-03 02:23:11,629][691101] EnvRunner 0-0 uses policy 0 -[2026-06-03 02:23:14,468][691029] Signal inference workers to stop experience collection... -[2026-06-03 02:23:14,495][691100] InferenceWorker_p0-w0: stopping experience collection -[2026-06-03 02:23:14,709][690149] 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 02:23:15,617][691029] Signal inference workers to resume experience collection... -[2026-06-03 02:23:15,618][691100] InferenceWorker_p0-w0: resuming experience collection -[2026-06-03 02:23:17,861][691100] Updated weights for policy 0, policy_version 66 (0.0033) -[2026-06-03 02:23:19,709][690149] Fps is (10 sec: 13107.2, 60 sec: 13107.2, 300 sec: 13107.2). Total num frames: 65536. Throughput: 0: 5939.2. Samples: 63488. Policy #0 lag: (min: 6.0, avg: 11.2, max: 70.0) -[2026-06-03 02:23:19,710][690149] Avg episode reward: [(0, '44.545')] -[2026-06-03 02:23:20,469][691100] Updated weights for policy 0, policy_version 146 (0.0011) -[2026-06-03 02:23:23,064][691100] Updated weights for policy 0, policy_version 240 (0.0011) -[2026-06-03 02:23:24,709][690149] Fps is (10 sec: 13107.2, 60 sec: 13107.2, 300 sec: 13107.2). Total num frames: 131072. Throughput: 0: 10752.0. Samples: 141312. Policy #0 lag: (min: 2.0, avg: 6.5, max: 66.0) -[2026-06-03 02:23:24,710][690149] Avg episode reward: [(0, '62.933')] -[2026-06-03 02:23:24,712][691029] Saving new best policy, reward=62.933! -[2026-06-03 02:23:25,755][691100] Updated weights for policy 0, policy_version 307 (0.0012) -[2026-06-03 02:23:28,546][691100] Updated weights for policy 0, policy_version 380 (0.0010) -[2026-06-03 02:23:28,727][690149] Heartbeat connected on Batcher_0 -[2026-06-03 02:23:28,731][690149] Heartbeat connected on LearnerWorker_p0 -[2026-06-03 02:23:28,754][690149] Heartbeat connected on RolloutWorker_w0 -[2026-06-03 02:23:28,782][690149] Heartbeat connected on InferenceWorker_p0-w0 -[2026-06-03 02:23:29,709][690149] Fps is (10 sec: 13107.3, 60 sec: 13107.2, 300 sec: 13107.2). Total num frames: 196608. Throughput: 0: 12151.5. Samples: 216064. Policy #0 lag: (min: 15.0, avg: 19.8, max: 79.0) -[2026-06-03 02:23:29,710][690149] Avg episode reward: [(0, '98.800')] -[2026-06-03 02:23:29,713][691029] Saving new best policy, reward=98.800! -[2026-06-03 02:23:33,650][691100] Updated weights for policy 0, policy_version 464 (0.0011) -[2026-06-03 02:23:34,709][690149] Fps is (10 sec: 13107.2, 60 sec: 13107.2, 300 sec: 13107.2). Total num frames: 262144. Throughput: 0: 10905.6. Samples: 251904. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) -[2026-06-03 02:23:34,710][690149] Avg episode reward: [(0, '118.600')] -[2026-06-03 02:23:34,713][691029] Saving new best policy, reward=118.600! -[2026-06-03 02:23:36,611][691100] Updated weights for policy 0, policy_version 560 (0.0010) -[2026-06-03 02:23:39,475][691100] Updated weights for policy 0, policy_version 635 (0.0010) -[2026-06-03 02:23:39,709][690149] Fps is (10 sec: 13107.2, 60 sec: 13107.2, 300 sec: 13107.2). Total num frames: 327680. Throughput: 0: 11591.7. Samples: 323584. Policy #0 lag: (min: 5.0, avg: 8.2, max: 69.0) -[2026-06-03 02:23:39,709][690149] Avg episode reward: [(0, '133.900')] -[2026-06-03 02:23:39,713][691029] Saving new best policy, reward=133.900! -[2026-06-03 02:23:44,578][691100] Updated weights for policy 0, policy_version 706 (0.0011) -[2026-06-03 02:23:44,709][690149] Fps is (10 sec: 10649.7, 60 sec: 12288.0, 300 sec: 12288.0). Total num frames: 368640. Throughput: 0: 12014.9. Samples: 394240. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) -[2026-06-03 02:23:44,710][690149] Avg episode reward: [(0, '151.000')] -[2026-06-03 02:23:44,914][691029] Saving new best policy, reward=151.000! -[2026-06-03 02:23:47,398][691100] Updated weights for policy 0, policy_version 784 (0.0010) -[2026-06-03 02:23:49,709][690149] Fps is (10 sec: 9830.4, 60 sec: 12171.0, 300 sec: 12171.0). Total num frames: 425984. Throughput: 0: 11293.3. Samples: 429056. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:23:49,710][690149] Avg episode reward: [(0, '140.900')] -[2026-06-03 02:23:50,359][691100] Updated weights for policy 0, policy_version 885 (0.0010) -[2026-06-03 02:23:53,229][691100] Updated weights for policy 0, policy_version 960 (0.0009) -[2026-06-03 02:23:54,709][690149] Fps is (10 sec: 12287.9, 60 sec: 12288.0, 300 sec: 12288.0). Total num frames: 491520. Throughput: 0: 11699.2. Samples: 501760. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) -[2026-06-03 02:23:54,710][690149] Avg episode reward: [(0, '153.300')] -[2026-06-03 02:23:54,714][691029] Saving new best policy, reward=153.300! -[2026-06-03 02:23:58,245][691029] Signal inference workers to stop experience collection... (50 times) -[2026-06-03 02:23:58,246][691100] Updated weights for policy 0, policy_version 1056 (0.0010) -[2026-06-03 02:23:58,274][691100] InferenceWorker_p0-w0: stopping experience collection (50 times) -[2026-06-03 02:23:58,354][691029] Signal inference workers to resume experience collection... (50 times) -[2026-06-03 02:23:58,355][691100] InferenceWorker_p0-w0: resuming experience collection (50 times) -[2026-06-03 02:23:59,709][690149] Fps is (10 sec: 13107.2, 60 sec: 12379.0, 300 sec: 12379.0). Total num frames: 557056. Throughput: 0: 12037.7. Samples: 575488. Policy #0 lag: (min: 47.0, avg: 50.5, max: 111.0) -[2026-06-03 02:23:59,710][690149] Avg episode reward: [(0, '141.350')] -[2026-06-03 02:24:01,259][691100] Updated weights for policy 0, policy_version 1148 (0.0011) -[2026-06-03 02:24:04,709][690149] Fps is (10 sec: 13107.1, 60 sec: 12451.8, 300 sec: 12451.8). Total num frames: 622592. Throughput: 0: 12208.3. Samples: 612864. Policy #0 lag: (min: 47.0, avg: 49.7, max: 111.0) -[2026-06-03 02:24:04,710][690149] Avg episode reward: [(0, '176.750')] -[2026-06-03 02:24:04,714][691029] Saving new best policy, reward=176.750! -[2026-06-03 02:24:05,955][691100] Updated weights for policy 0, policy_version 1218 (0.0010) -[2026-06-03 02:24:08,618][691100] Updated weights for policy 0, policy_version 1312 (0.0009) -[2026-06-03 02:24:09,709][690149] Fps is (10 sec: 13107.3, 60 sec: 12511.4, 300 sec: 12511.4). Total num frames: 688128. Throughput: 0: 12208.4. Samples: 690688. Policy #0 lag: (min: 12.0, avg: 16.2, max: 76.0) -[2026-06-03 02:24:09,709][690149] Avg episode reward: [(0, '167.050')] -[2026-06-03 02:24:11,347][691100] Updated weights for policy 0, policy_version 1378 (0.0009) -[2026-06-03 02:24:13,966][691100] Updated weights for policy 0, policy_version 1461 (0.0009) -[2026-06-03 02:24:14,709][690149] Fps is (10 sec: 13107.3, 60 sec: 12561.1, 300 sec: 12561.1). Total num frames: 753664. Throughput: 0: 12219.7. Samples: 765952. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-03 02:24:14,710][690149] Avg episode reward: [(0, '175.650')] -[2026-06-03 02:24:16,735][691100] Updated weights for policy 0, policy_version 1530 (0.0012) -[2026-06-03 02:24:19,306][691100] Updated weights for policy 0, policy_version 1600 (0.0009) -[2026-06-03 02:24:19,709][690149] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12603.1). Total num frames: 819200. Throughput: 0: 12242.5. Samples: 802816. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) -[2026-06-03 02:24:19,709][690149] Avg episode reward: [(0, '173.250')] -[2026-06-03 02:24:24,305][691100] Updated weights for policy 0, policy_version 1680 (0.0011) -[2026-06-03 02:24:24,709][690149] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12639.1). Total num frames: 884736. Throughput: 0: 12322.1. Samples: 878080. Policy #0 lag: (min: 1.0, avg: 5.4, max: 65.0) -[2026-06-03 02:24:24,710][690149] Avg episode reward: [(0, '183.950')] -[2026-06-03 02:24:24,714][691029] Saving new best policy, reward=183.950! -[2026-06-03 02:24:27,109][691100] Updated weights for policy 0, policy_version 1760 (0.0010) -[2026-06-03 02:24:29,709][690149] Fps is (10 sec: 9830.4, 60 sec: 12014.9, 300 sec: 12233.4). Total num frames: 917504. Throughput: 0: 12367.7. Samples: 950784. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) -[2026-06-03 02:24:29,710][690149] Avg episode reward: [(0, '160.850')] -[2026-06-03 02:24:30,082][691100] Updated weights for policy 0, policy_version 1850 (0.0010) -[2026-06-03 02:24:34,709][690149] Fps is (10 sec: 9830.3, 60 sec: 12014.9, 300 sec: 12288.0). Total num frames: 983040. Throughput: 0: 12390.4. Samples: 986624. Policy #0 lag: (min: 1.0, avg: 4.2, max: 65.0) -[2026-06-03 02:24:34,710][690149] Avg episode reward: [(0, '186.700')] -[2026-06-03 02:24:34,714][691029] Saving new best policy, reward=186.700! -[2026-06-03 02:24:34,866][691100] Updated weights for policy 0, policy_version 1936 (0.0011) -[2026-06-03 02:24:37,889][691100] Updated weights for policy 0, policy_version 2043 (0.0012) -[2026-06-03 02:24:39,709][690149] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 12336.2). Total num frames: 1048576. Throughput: 0: 12447.3. Samples: 1061888. Policy #0 lag: (min: 14.0, avg: 16.7, max: 78.0) -[2026-06-03 02:24:39,709][690149] Avg episode reward: [(0, '178.450')] -[2026-06-03 02:24:40,624][691100] Updated weights for policy 0, policy_version 2112 (0.0009) -[2026-06-03 02:24:42,785][691029] Signal inference workers to stop experience collection... (100 times) -[2026-06-03 02:24:42,816][691100] InferenceWorker_p0-w0: stopping experience collection (100 times) -[2026-06-03 02:24:42,882][691029] Signal inference workers to resume experience collection... (100 times) -[2026-06-03 02:24:42,883][691100] InferenceWorker_p0-w0: resuming experience collection (100 times) -[2026-06-03 02:24:44,709][690149] Fps is (10 sec: 13107.3, 60 sec: 12424.5, 300 sec: 12379.0). Total num frames: 1114112. Throughput: 0: 12515.6. Samples: 1138688. Policy #0 lag: (min: 0.0, avg: 4.3, max: 64.0) -[2026-06-03 02:24:44,710][690149] Avg episode reward: [(0, '169.600')] -[2026-06-03 02:24:45,424][691100] Updated weights for policy 0, policy_version 2195 (0.0010) -[2026-06-03 02:24:48,025][691100] Updated weights for policy 0, policy_version 2274 (0.0011) -[2026-06-03 02:24:49,709][690149] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12417.4). Total num frames: 1179648. Throughput: 0: 12583.9. Samples: 1179136. Policy #0 lag: (min: 1.0, avg: 5.5, max: 65.0) -[2026-06-03 02:24:49,710][690149] Avg episode reward: [(0, '183.700')] -[2026-06-03 02:24:50,698][691100] Updated weights for policy 0, policy_version 2354 (0.0010) -[2026-06-03 02:24:53,290][691100] Updated weights for policy 0, policy_version 2429 (0.0009) -[2026-06-03 02:24:54,709][690149] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12451.8). Total num frames: 1245184. Throughput: 0: 12504.2. Samples: 1253376. Policy #0 lag: (min: 14.0, avg: 18.7, max: 78.0) -[2026-06-03 02:24:54,710][690149] Avg episode reward: [(0, '186.550')] -[2026-06-03 02:24:58,371][691100] Updated weights for policy 0, policy_version 2512 (0.0010) -[2026-06-03 02:24:59,709][690149] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12483.1). Total num frames: 1310720. Throughput: 0: 12458.7. Samples: 1326592. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) -[2026-06-03 02:24:59,710][690149] Avg episode reward: [(0, '188.400')] -[2026-06-03 02:24:59,714][691029] Saving new best policy, reward=188.400! -[2026-06-03 02:25:01,239][691100] Updated weights for policy 0, policy_version 2594 (0.0010) -[2026-06-03 02:25:03,869][691100] Updated weights for policy 0, policy_version 2672 (0.0010) -[2026-06-03 02:25:04,709][690149] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12511.4). Total num frames: 1376256. Throughput: 0: 12492.8. Samples: 1364992. Policy #0 lag: (min: 14.0, avg: 18.3, max: 78.0) -[2026-06-03 02:25:04,710][690149] Avg episode reward: [(0, '215.600')] -[2026-06-03 02:25:04,713][691029] Saving new best policy, reward=215.600! -[2026-06-03 02:25:06,491][691100] Updated weights for policy 0, policy_version 2741 (0.0010) -[2026-06-03 02:25:09,056][691100] Updated weights for policy 0, policy_version 2812 (0.0009) -[2026-06-03 02:25:09,709][690149] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12537.3). Total num frames: 1441792. Throughput: 0: 12549.7. Samples: 1442816. Policy #0 lag: (min: 2.0, avg: 6.7, max: 66.0) -[2026-06-03 02:25:09,709][690149] Avg episode reward: [(0, '209.550')] -[2026-06-03 02:25:13,932][691100] Updated weights for policy 0, policy_version 2896 (0.0010) -[2026-06-03 02:25:14,709][690149] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12561.1). Total num frames: 1507328. Throughput: 0: 12572.4. Samples: 1516544. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) -[2026-06-03 02:25:14,709][690149] Avg episode reward: [(0, '203.150')] -[2026-06-03 02:25:16,542][691100] Updated weights for policy 0, policy_version 2962 (0.0010) -[2026-06-03 02:25:19,315][691100] Updated weights for policy 0, policy_version 3056 (0.0010) -[2026-06-03 02:25:19,709][690149] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12582.9). Total num frames: 1572864. Throughput: 0: 12640.7. Samples: 1555456. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0) -[2026-06-03 02:25:19,709][690149] Avg episode reward: [(0, '230.050')] -[2026-06-03 02:25:19,713][691029] Saving new best policy, reward=230.050! -[2026-06-03 02:25:21,956][691100] Updated weights for policy 0, policy_version 3129 (0.0009) -[2026-06-03 02:25:24,709][690149] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12603.1). Total num frames: 1638400. Throughput: 0: 12720.4. Samples: 1634304. Policy #0 lag: (min: 4.0, avg: 7.8, max: 68.0) -[2026-06-03 02:25:24,710][690149] Avg episode reward: [(0, '233.150')] -[2026-06-03 02:25:24,713][691029] Saving new best policy, reward=233.150! -[2026-06-03 02:25:26,566][691029] Signal inference workers to stop experience collection... (150 times) -[2026-06-03 02:25:26,594][691100] InferenceWorker_p0-w0: stopping experience collection (150 times) -[2026-06-03 02:25:26,614][691100] Updated weights for policy 0, policy_version 3202 (0.0009) -[2026-06-03 02:25:26,701][691029] Signal inference workers to resume experience collection... (150 times) -[2026-06-03 02:25:26,702][691100] InferenceWorker_p0-w0: resuming experience collection (150 times) -[2026-06-03 02:25:29,391][691100] Updated weights for policy 0, policy_version 3282 (0.0010) -[2026-06-03 02:25:29,709][690149] Fps is (10 sec: 12288.0, 60 sec: 12970.7, 300 sec: 12561.1). Total num frames: 1695744. Throughput: 0: 12640.7. Samples: 1707520. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-03 02:25:29,709][690149] Avg episode reward: [(0, '221.800')] -[2026-06-03 02:25:32,316][691100] Updated weights for policy 0, policy_version 3380 (0.0010) -[2026-06-03 02:25:34,709][690149] Fps is (10 sec: 10649.6, 60 sec: 12697.6, 300 sec: 12463.5). Total num frames: 1744896. Throughput: 0: 12572.4. Samples: 1744896. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-03 02:25:34,710][690149] Avg episode reward: [(0, '247.750')] -[2026-06-03 02:25:34,859][691029] Saving new best policy, reward=247.750! -[2026-06-03 02:25:35,013][691100] Updated weights for policy 0, policy_version 3453 (0.0009) -[2026-06-03 02:25:39,709][690149] Fps is (10 sec: 10649.6, 60 sec: 12561.1, 300 sec: 12429.2). Total num frames: 1802240. Throughput: 0: 12572.4. Samples: 1819136. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-03 02:25:39,709][690149] Avg episode reward: [(0, '247.800')] -[2026-06-03 02:25:39,713][691029] Saving new best policy, reward=247.800! -[2026-06-03 02:25:39,916][691100] Updated weights for policy 0, policy_version 3538 (0.0010) -[2026-06-03 02:25:42,688][691100] Updated weights for policy 0, policy_version 3635 (0.0011) -[2026-06-03 02:25:44,709][690149] Fps is (10 sec: 12288.0, 60 sec: 12561.1, 300 sec: 12451.8). Total num frames: 1867776. Throughput: 0: 12674.8. Samples: 1896960. Policy #0 lag: (min: 11.0, avg: 14.7, max: 75.0) -[2026-06-03 02:25:44,709][690149] Avg episode reward: [(0, '245.700')] -[2026-06-03 02:25:45,494][691100] Updated weights for policy 0, policy_version 3712 (0.0010) -[2026-06-03 02:25:49,709][690149] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12473.0). Total num frames: 1933312. Throughput: 0: 12640.7. Samples: 1933824. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) -[2026-06-03 02:25:49,709][690149] Avg episode reward: [(0, '249.000')] -[2026-06-03 02:25:49,713][691029] Saving new best policy, reward=249.000! -[2026-06-03 02:25:50,269][691100] Updated weights for policy 0, policy_version 3792 (0.0010) -[2026-06-03 02:25:52,982][691100] Updated weights for policy 0, policy_version 3872 (0.0010) -[2026-06-03 02:25:54,709][690149] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12492.8). Total num frames: 1998848. Throughput: 0: 12561.1. Samples: 2008064. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-03 02:25:54,710][690149] Avg episode reward: [(0, '269.000')] -[2026-06-03 02:25:54,713][691029] Saving new best policy, reward=269.000! -[2026-06-03 02:25:55,728][691100] Updated weights for policy 0, policy_version 3955 (0.0010) -[2026-06-03 02:25:59,709][690149] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12511.4). Total num frames: 2064384. Throughput: 0: 12652.1. Samples: 2085888. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) -[2026-06-03 02:25:59,709][690149] Avg episode reward: [(0, '260.500')] -[2026-06-03 02:26:00,529][691100] Updated weights for policy 0, policy_version 4034 (0.0010) -[2026-06-03 02:26:03,175][691100] Updated weights for policy 0, policy_version 4128 (0.0010) -[2026-06-03 02:26:04,709][690149] Fps is (10 sec: 13107.3, 60 sec: 12561.1, 300 sec: 12528.9). Total num frames: 2129920. Throughput: 0: 12674.9. Samples: 2125824. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) -[2026-06-03 02:26:04,709][690149] Avg episode reward: [(0, '263.600')] -[2026-06-03 02:26:05,963][691100] Updated weights for policy 0, policy_version 4211 (0.0010) -[2026-06-03 02:26:08,433][691029] Signal inference workers to stop experience collection... (200 times) -[2026-06-03 02:26:08,464][691100] InferenceWorker_p0-w0: stopping experience collection (200 times) -[2026-06-03 02:26:08,563][691029] Signal inference workers to resume experience collection... (200 times) -[2026-06-03 02:26:08,563][691100] InferenceWorker_p0-w0: resuming experience collection (200 times) -[2026-06-03 02:26:08,655][691100] Updated weights for policy 0, policy_version 4280 (0.0010) -[2026-06-03 02:26:09,709][690149] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12545.5). Total num frames: 2195456. Throughput: 0: 12572.4. Samples: 2200064. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) -[2026-06-03 02:26:09,710][690149] Avg episode reward: [(0, '291.550')] -[2026-06-03 02:26:09,713][691029] Saving new best policy, reward=291.550! -[2026-06-03 02:26:11,328][691100] Updated weights for policy 0, policy_version 4346 (0.0010) -[2026-06-03 02:26:13,851][691100] Updated weights for policy 0, policy_version 4416 (0.0010) -[2026-06-03 02:26:14,709][690149] Fps is (10 sec: 13106.9, 60 sec: 12561.0, 300 sec: 12561.1). Total num frames: 2260992. Throughput: 0: 12652.0. Samples: 2276864. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:26:14,710][690149] Avg episode reward: [(0, '311.200')] -[2026-06-03 02:26:14,714][691029] Saving new best policy, reward=311.200! -[2026-06-03 02:26:18,602][691100] Updated weights for policy 0, policy_version 4496 (0.0010) -[2026-06-03 02:26:19,709][690149] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12575.8). Total num frames: 2326528. Throughput: 0: 12674.9. Samples: 2315264. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-03 02:26:19,709][690149] Avg episode reward: [(0, '319.300')] -[2026-06-03 02:26:19,713][691029] Saving new best policy, reward=319.300! -[2026-06-03 02:26:21,064][691100] Updated weights for policy 0, policy_version 4560 (0.0010) -[2026-06-03 02:26:23,653][691100] Updated weights for policy 0, policy_version 4640 (0.0010) -[2026-06-03 02:26:24,709][690149] Fps is (10 sec: 13107.4, 60 sec: 12561.1, 300 sec: 12589.8). Total num frames: 2392064. Throughput: 0: 12765.9. Samples: 2393600. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:26:24,709][690149] Avg episode reward: [(0, '304.500')] -[2026-06-03 02:26:26,187][691100] Updated weights for policy 0, policy_version 4720 (0.0010) -[2026-06-03 02:26:28,688][691100] Updated weights for policy 0, policy_version 4787 (0.0009) -[2026-06-03 02:26:29,709][690149] Fps is (10 sec: 13107.2, 60 sec: 12697.6, 300 sec: 12603.1). Total num frames: 2457600. Throughput: 0: 12856.9. Samples: 2475520. Policy #0 lag: (min: 7.0, avg: 11.3, max: 71.0) -[2026-06-03 02:26:29,710][690149] Avg episode reward: [(0, '312.650')] -[2026-06-03 02:26:31,113][691100] Updated weights for policy 0, policy_version 4848 (0.0009) -[2026-06-03 02:26:33,614][691100] Updated weights for policy 0, policy_version 4920 (0.0009) -[2026-06-03 02:26:34,709][690149] Fps is (10 sec: 13107.3, 60 sec: 12970.7, 300 sec: 12615.7). Total num frames: 2523136. Throughput: 0: 12947.9. Samples: 2516480. Policy #0 lag: (min: 10.0, avg: 16.1, max: 74.0) -[2026-06-03 02:26:34,709][690149] Avg episode reward: [(0, '353.650')] -[2026-06-03 02:26:34,713][691029] Saving new best policy, reward=353.650! -[2026-06-03 02:26:36,216][691100] Updated weights for policy 0, policy_version 4987 (0.0009) -[2026-06-03 02:26:38,735][691100] Updated weights for policy 0, policy_version 5055 (0.0010) -[2026-06-03 02:26:39,709][690149] Fps is (10 sec: 13107.2, 60 sec: 13107.2, 300 sec: 12627.7). Total num frames: 2588672. Throughput: 0: 12993.4. Samples: 2592768. Policy #0 lag: (min: 7.0, avg: 11.6, max: 71.0) -[2026-06-03 02:26:39,710][690149] Avg episode reward: [(0, '352.000')] -[2026-06-03 02:26:41,135][691100] Updated weights for policy 0, policy_version 5120 (0.0010) -[2026-06-03 02:26:44,709][690149] Fps is (10 sec: 13107.1, 60 sec: 13107.2, 300 sec: 12639.1). Total num frames: 2654208. Throughput: 0: 13107.2. Samples: 2675712. Policy #0 lag: (min: 20.0, avg: 24.9, max: 84.0) -[2026-06-03 02:26:44,709][690149] Avg episode reward: [(0, '327.000')] -[2026-06-03 02:26:45,516][691100] Updated weights for policy 0, policy_version 5186 (0.0009) -[2026-06-03 02:26:48,173][691100] Updated weights for policy 0, policy_version 5264 (0.0010) -[2026-06-03 02:26:49,709][690149] Fps is (10 sec: 13107.2, 60 sec: 13107.2, 300 sec: 12650.0). Total num frames: 2719744. Throughput: 0: 13107.2. Samples: 2715648. Policy #0 lag: (min: 63.0, avg: 68.0, max: 127.0) -[2026-06-03 02:26:49,710][690149] Avg episode reward: [(0, '348.450')] -[2026-06-03 02:26:50,692][691029] Signal inference workers to stop experience collection... (250 times) -[2026-06-03 02:26:50,722][691100] InferenceWorker_p0-w0: stopping experience collection (250 times) -[2026-06-03 02:26:50,816][691029] Signal inference workers to resume experience collection... (250 times) -[2026-06-03 02:26:50,816][691100] InferenceWorker_p0-w0: resuming experience collection (250 times) -[2026-06-03 02:26:50,938][691100] Updated weights for policy 0, policy_version 5360 (0.0010) -[2026-06-03 02:26:53,585][691100] Updated weights for policy 0, policy_version 5437 (0.0007) -[2026-06-03 02:26:54,709][690149] Fps is (10 sec: 13107.2, 60 sec: 13107.2, 300 sec: 12660.4). Total num frames: 2785280. Throughput: 0: 13129.9. Samples: 2790912. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) -[2026-06-03 02:26:54,710][690149] Avg episode reward: [(0, '387.450')] -[2026-06-03 02:26:54,714][691029] Saving new best policy, reward=387.450! -[2026-06-03 02:26:56,039][691100] Updated weights for policy 0, policy_version 5504 (0.0009) -[2026-06-03 02:26:59,709][690149] Fps is (10 sec: 13107.3, 60 sec: 13107.2, 300 sec: 12670.3). Total num frames: 2850816. Throughput: 0: 13221.0. Samples: 2871808. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) -[2026-06-03 02:26:59,710][690149] Avg episode reward: [(0, '440.500')] -[2026-06-03 02:26:59,713][691029] Saving new best policy, reward=440.500! -[2026-06-03 02:27:00,662][691100] Updated weights for policy 0, policy_version 5584 (0.0010) -[2026-06-03 02:27:03,421][691100] Updated weights for policy 0, policy_version 5666 (0.0009) -[2026-06-03 02:27:04,709][690149] Fps is (10 sec: 13107.3, 60 sec: 13107.2, 300 sec: 12679.8). Total num frames: 2916352. Throughput: 0: 13232.3. Samples: 2910720. Policy #0 lag: (min: 12.0, avg: 17.0, max: 76.0) -[2026-06-03 02:27:04,710][690149] Avg episode reward: [(0, '421.950')] -[2026-06-03 02:27:05,928][691100] Updated weights for policy 0, policy_version 5744 (0.0010) -[2026-06-03 02:27:09,709][690149] Fps is (10 sec: 13106.2, 60 sec: 13107.0, 300 sec: 12688.8). Total num frames: 2981888. Throughput: 0: 13220.8. Samples: 2988544. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) -[2026-06-03 02:27:09,711][690149] Avg episode reward: [(0, '447.400')] -[2026-06-03 02:27:09,715][691029] Saving new best policy, reward=447.400! -[2026-06-03 02:27:10,414][691100] Updated weights for policy 0, policy_version 5826 (0.0010) -[2026-06-03 02:27:13,091][691100] Updated weights for policy 0, policy_version 5936 (0.0010) -[2026-06-03 02:27:14,709][690149] Fps is (10 sec: 13107.3, 60 sec: 13107.2, 300 sec: 12697.6). Total num frames: 3047424. Throughput: 0: 13277.9. Samples: 3073024. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) -[2026-06-03 02:27:14,710][690149] Avg episode reward: [(0, '524.500')] -[2026-06-03 02:27:14,714][691029] Saving new best policy, reward=524.500! -[2026-06-03 02:27:15,600][691100] Updated weights for policy 0, policy_version 6008 (0.0010) -[2026-06-03 02:27:19,709][690149] Fps is (10 sec: 13108.1, 60 sec: 13107.2, 300 sec: 12706.0). Total num frames: 3112960. Throughput: 0: 13266.5. Samples: 3113472. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) -[2026-06-03 02:27:19,710][690149] Avg episode reward: [(0, '593.100')] -[2026-06-03 02:27:19,713][691029] Saving new best policy, reward=593.100! -[2026-06-03 02:27:20,200][691100] Updated weights for policy 0, policy_version 6082 (0.0010) -[2026-06-03 02:27:22,646][691100] Updated weights for policy 0, policy_version 6160 (0.0010) -[2026-06-03 02:27:24,709][690149] Fps is (10 sec: 13107.1, 60 sec: 13107.2, 300 sec: 12714.0). Total num frames: 3178496. Throughput: 0: 13312.0. Samples: 3191808. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:27:24,710][690149] Avg episode reward: [(0, '537.900')] -[2026-06-03 02:27:25,198][691100] Updated weights for policy 0, policy_version 6240 (0.0010) -[2026-06-03 02:27:27,809][691100] Updated weights for policy 0, policy_version 6320 (0.0010) -[2026-06-03 02:27:29,709][690149] Fps is (10 sec: 13107.3, 60 sec: 13107.2, 300 sec: 12721.7). Total num frames: 3244032. Throughput: 0: 13300.7. Samples: 3274240. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:27:29,709][690149] Avg episode reward: [(0, '453.900')] -[2026-06-03 02:27:30,281][691100] Updated weights for policy 0, policy_version 6384 (0.0009) -[2026-06-03 02:27:32,317][691029] Signal inference workers to stop experience collection... (300 times) -[2026-06-03 02:27:32,345][691100] InferenceWorker_p0-w0: stopping experience collection (300 times) -[2026-06-03 02:27:32,458][691029] Signal inference workers to resume experience collection... (300 times) -[2026-06-03 02:27:32,458][691100] InferenceWorker_p0-w0: resuming experience collection (300 times) -[2026-06-03 02:27:32,721][691100] Updated weights for policy 0, policy_version 6448 (0.0011) -[2026-06-03 02:27:34,709][690149] Fps is (10 sec: 13107.1, 60 sec: 13107.2, 300 sec: 12729.1). Total num frames: 3309568. Throughput: 0: 13266.5. Samples: 3312640. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-03 02:27:34,710][690149] Avg episode reward: [(0, '495.400')] -[2026-06-03 02:27:35,319][691100] Updated weights for policy 0, policy_version 6528 (0.0009) -[2026-06-03 02:27:39,709][690149] Fps is (10 sec: 13107.1, 60 sec: 13107.2, 300 sec: 12736.2). Total num frames: 3375104. Throughput: 0: 13357.5. Samples: 3392000. Policy #0 lag: (min: 5.0, avg: 9.5, max: 69.0) -[2026-06-03 02:27:39,710][690149] Avg episode reward: [(0, '523.000')] -[2026-06-03 02:27:39,731][691100] Updated weights for policy 0, policy_version 6594 (0.0009) -[2026-06-03 02:27:42,228][691100] Updated weights for policy 0, policy_version 6672 (0.0006) -[2026-06-03 02:27:44,711][690149] Fps is (10 sec: 13923.8, 60 sec: 13243.3, 300 sec: 12773.4). Total num frames: 3448832. Throughput: 0: 13391.1. Samples: 3474432. Policy #0 lag: (min: 13.0, avg: 18.1, max: 77.0) -[2026-06-03 02:27:44,712][690149] Avg episode reward: [(0, '549.150')] -[2026-06-03 02:27:44,757][691100] Updated weights for policy 0, policy_version 6738 (0.0010) -[2026-06-03 02:27:47,270][691100] Updated weights for policy 0, policy_version 6816 (0.0010) -[2026-06-03 02:27:49,709][690149] Fps is (10 sec: 13926.4, 60 sec: 13243.7, 300 sec: 12779.5). Total num frames: 3514368. Throughput: 0: 13380.3. Samples: 3512832. Policy #0 lag: (min: 13.0, avg: 18.1, max: 77.0) -[2026-06-03 02:27:49,710][690149] Avg episode reward: [(0, '619.750')] -[2026-06-03 02:27:49,728][691100] Updated weights for policy 0, policy_version 6880 (0.0009) -[2026-06-03 02:27:49,850][691029] Saving new best policy, reward=619.750! -[2026-06-03 02:27:52,273][691100] Updated weights for policy 0, policy_version 6960 (0.0010) -[2026-06-03 02:27:54,709][690149] Fps is (10 sec: 13929.1, 60 sec: 13380.3, 300 sec: 12814.6). Total num frames: 3588096. Throughput: 0: 13460.1. Samples: 3594240. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-03 02:27:54,709][690149] Avg episode reward: [(0, '606.000')] -[2026-06-03 02:27:54,844][691100] Updated weights for policy 0, policy_version 7032 (0.0010) -[2026-06-03 02:27:57,221][691100] Updated weights for policy 0, policy_version 7094 (0.0008) -[2026-06-03 02:27:59,517][691100] Updated weights for policy 0, policy_version 7153 (0.0007) -[2026-06-03 02:27:59,709][690149] Fps is (10 sec: 15564.9, 60 sec: 13653.3, 300 sec: 12877.3). Total num frames: 3670016. Throughput: 0: 13391.7. Samples: 3675648. Policy #0 lag: (min: 4.0, avg: 9.2, max: 68.0) -[2026-06-03 02:27:59,709][690149] Avg episode reward: [(0, '629.900')] -[2026-06-03 02:27:59,712][691029] Saving new best policy, reward=629.900! -[2026-06-03 02:28:01,919][691100] Updated weights for policy 0, policy_version 7226 (0.0010) -[2026-06-03 02:28:04,216][691100] Updated weights for policy 0, policy_version 7294 (0.0010) -[2026-06-03 02:28:04,709][690149] Fps is (10 sec: 14745.5, 60 sec: 13653.3, 300 sec: 12881.2). Total num frames: 3735552. Throughput: 0: 13459.9. Samples: 3719168. Policy #0 lag: (min: 4.0, avg: 9.2, max: 68.0) -[2026-06-03 02:28:04,710][690149] Avg episode reward: [(0, '722.300')] -[2026-06-03 02:28:04,714][691029] Saving new best policy, reward=722.300! -[2026-06-03 02:28:06,775][691100] Updated weights for policy 0, policy_version 7360 (0.0010) -[2026-06-03 02:28:09,040][691100] Updated weights for policy 0, policy_version 7424 (0.0006) -[2026-06-03 02:28:09,709][690149] Fps is (10 sec: 13107.0, 60 sec: 13653.5, 300 sec: 12885.0). Total num frames: 3801088. Throughput: 0: 13585.0. Samples: 3803136. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-03 02:28:09,710][690149] Avg episode reward: [(0, '731.000')] -[2026-06-03 02:28:09,713][691029] Saving new best policy, reward=731.000! -[2026-06-03 02:28:10,971][691029] Signal inference workers to stop experience collection... (350 times) -[2026-06-03 02:28:11,001][691100] InferenceWorker_p0-w0: stopping experience collection (350 times) -[2026-06-03 02:28:11,092][691029] Signal inference workers to resume experience collection... (350 times) -[2026-06-03 02:28:11,093][691100] InferenceWorker_p0-w0: resuming experience collection (350 times) -[2026-06-03 02:28:13,257][691100] Updated weights for policy 0, policy_version 7490 (0.0010) -[2026-06-03 02:28:14,709][690149] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 12885.0). Total num frames: 3866624. Throughput: 0: 13585.0. Samples: 3885568. Policy #0 lag: (min: 6.0, avg: 10.1, max: 70.0) -[2026-06-03 02:28:14,710][690149] Avg episode reward: [(0, '666.500')] -[2026-06-03 02:28:15,655][691100] Updated weights for policy 0, policy_version 7556 (0.0009) -[2026-06-03 02:28:18,032][691100] Updated weights for policy 0, policy_version 7632 (0.0009) -[2026-06-03 02:28:19,709][690149] Fps is (10 sec: 13107.1, 60 sec: 13653.3, 300 sec: 12885.0). Total num frames: 3932160. Throughput: 0: 13698.8. Samples: 3929088. Policy #0 lag: (min: 6.0, avg: 10.1, max: 70.0) -[2026-06-03 02:28:19,710][690149] Avg episode reward: [(0, '732.850')] -[2026-06-03 02:28:19,714][691029] Saving new best policy, reward=732.850! -[2026-06-03 02:28:20,529][691100] Updated weights for policy 0, policy_version 7714 (0.0010) -[2026-06-03 02:28:23,053][691100] Updated weights for policy 0, policy_version 7797 (0.0012) -[2026-06-03 02:28:24,709][690149] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 12885.0). Total num frames: 3997696. Throughput: 0: 13710.2. Samples: 4008960. Policy #0 lag: (min: 0.0, avg: 4.4, max: 64.0) -[2026-06-03 02:28:24,710][690149] Avg episode reward: [(0, '854.550')] -[2026-06-03 02:28:24,713][691029] Saving new best policy, reward=854.550! -[2026-06-03 02:28:25,605][691100] Updated weights for policy 0, policy_version 7867 (0.0010) -[2026-06-03 02:28:29,709][690149] Fps is (10 sec: 13107.4, 60 sec: 13653.3, 300 sec: 12885.0). Total num frames: 4063232. Throughput: 0: 13688.1. Samples: 4090368. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-03 02:28:29,710][690149] Avg episode reward: [(0, '768.700')] -[2026-06-03 02:28:30,138][691100] Updated weights for policy 0, policy_version 7938 (0.0011) -[2026-06-03 02:28:32,570][691100] Updated weights for policy 0, policy_version 8016 (0.0009) -[2026-06-03 02:28:34,709][690149] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 12885.0). Total num frames: 4128768. Throughput: 0: 13733.0. Samples: 4130816. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-03 02:28:34,710][690149] Avg episode reward: [(0, '792.350')] -[2026-06-03 02:28:34,923][691100] Updated weights for policy 0, policy_version 8080 (0.0010) -[2026-06-03 02:28:37,363][691100] Updated weights for policy 0, policy_version 8146 (0.0010) -[2026-06-03 02:28:39,709][690149] Fps is (10 sec: 13926.4, 60 sec: 13789.9, 300 sec: 12996.1). Total num frames: 4202496. Throughput: 0: 13767.1. Samples: 4213760. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-03 02:28:39,710][690149] Avg episode reward: [(0, '883.450')] -[2026-06-03 02:28:39,766][691100] Updated weights for policy 0, policy_version 8224 (0.0010) -[2026-06-03 02:28:39,886][691029] Saving new best policy, reward=883.450! -[2026-06-03 02:28:42,083][691100] Updated weights for policy 0, policy_version 8290 (0.0008) -[2026-06-03 02:28:44,480][691100] Updated weights for policy 0, policy_version 8354 (0.0008) -[2026-06-03 02:28:44,709][690149] Fps is (10 sec: 15564.8, 60 sec: 13926.8, 300 sec: 13079.4). Total num frames: 4284416. Throughput: 0: 13812.6. Samples: 4297216. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-03 02:28:44,709][690149] Avg episode reward: [(0, '897.700')] -[2026-06-03 02:28:44,729][691029] Saving new best policy, reward=897.700! -[2026-06-03 02:28:46,925][691100] Updated weights for policy 0, policy_version 8437 (0.0010) -[2026-06-03 02:28:49,530][691100] Updated weights for policy 0, policy_version 8504 (0.0010) -[2026-06-03 02:28:49,709][690149] Fps is (10 sec: 15564.8, 60 sec: 14062.9, 300 sec: 13107.2). Total num frames: 4358144. Throughput: 0: 13755.7. Samples: 4338176. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) -[2026-06-03 02:28:49,710][690149] Avg episode reward: [(0, '938.550')] -[2026-06-03 02:28:49,713][691029] Saving new best policy, reward=938.550! -[2026-06-03 02:28:51,578][691029] Signal inference workers to stop experience collection... (400 times) -[2026-06-03 02:28:51,607][691100] InferenceWorker_p0-w0: stopping experience collection (400 times) -[2026-06-03 02:28:51,703][691029] Signal inference workers to resume experience collection... (400 times) -[2026-06-03 02:28:51,703][691100] InferenceWorker_p0-w0: resuming experience collection (400 times) -[2026-06-03 02:28:53,948][691100] Updated weights for policy 0, policy_version 8594 (0.0011) -[2026-06-03 02:28:54,709][690149] Fps is (10 sec: 13926.4, 60 sec: 13926.4, 300 sec: 13107.2). Total num frames: 4423680. Throughput: 0: 13755.7. Samples: 4422144. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) -[2026-06-03 02:28:54,710][690149] Avg episode reward: [(0, '970.900')] -[2026-06-03 02:28:54,713][691029] Saving new best policy, reward=970.900! -[2026-06-03 02:28:56,477][691100] Updated weights for policy 0, policy_version 8672 (0.0010) -[2026-06-03 02:28:58,924][691100] Updated weights for policy 0, policy_version 8736 (0.0010) -[2026-06-03 02:28:59,709][690149] Fps is (10 sec: 13107.3, 60 sec: 13653.3, 300 sec: 13107.2). Total num frames: 4489216. Throughput: 0: 13676.1. Samples: 4500992. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-03 02:28:59,710][690149] Avg episode reward: [(0, '1068.950')] -[2026-06-03 02:28:59,713][691029] Saving new best policy, reward=1068.950! -[2026-06-03 02:29:01,359][691100] Updated weights for policy 0, policy_version 8816 (0.0009) -[2026-06-03 02:29:03,676][691100] Updated weights for policy 0, policy_version 8880 (0.0009) -[2026-06-03 02:29:04,709][690149] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 13107.2). Total num frames: 4554752. Throughput: 0: 13698.9. Samples: 4545536. Policy #0 lag: (min: 47.0, avg: 51.6, max: 111.0) -[2026-06-03 02:29:04,710][690149] Avg episode reward: [(0, '1326.900')] -[2026-06-03 02:29:04,713][691029] Saving new best policy, reward=1326.900! -[2026-06-03 02:29:06,070][691100] Updated weights for policy 0, policy_version 8946 (0.0010) -[2026-06-03 02:29:08,436][691100] Updated weights for policy 0, policy_version 9010 (0.0009) -[2026-06-03 02:29:09,709][690149] Fps is (10 sec: 13107.2, 60 sec: 13653.4, 300 sec: 13107.2). Total num frames: 4620288. Throughput: 0: 13744.4. Samples: 4627456. Policy #0 lag: (min: 47.0, avg: 51.6, max: 111.0) -[2026-06-03 02:29:09,710][690149] Avg episode reward: [(0, '1271.200')] -[2026-06-03 02:29:10,654][691100] Updated weights for policy 0, policy_version 9075 (0.0010) -[2026-06-03 02:29:12,893][691100] Updated weights for policy 0, policy_version 9136 (0.0009) -[2026-06-03 02:29:14,709][690149] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 13107.2). Total num frames: 4685824. Throughput: 0: 13915.0. Samples: 4716544. Policy #0 lag: (min: 3.0, avg: 7.2, max: 67.0) -[2026-06-03 02:29:14,710][690149] Avg episode reward: [(0, '1255.450')] -[2026-06-03 02:29:15,144][691100] Updated weights for policy 0, policy_version 9186 (0.0009) -[2026-06-03 02:29:17,600][691100] Updated weights for policy 0, policy_version 9264 (0.0010) -[2026-06-03 02:29:19,709][690149] Fps is (10 sec: 13107.1, 60 sec: 13653.4, 300 sec: 13107.2). Total num frames: 4751360. Throughput: 0: 13869.5. Samples: 4754944. Policy #0 lag: (min: 3.0, avg: 7.2, max: 67.0) -[2026-06-03 02:29:19,710][690149] Avg episode reward: [(0, '1170.500')] -[2026-06-03 02:29:20,038][691100] Updated weights for policy 0, policy_version 9336 (0.0010) -[2026-06-03 02:29:22,500][691100] Updated weights for policy 0, policy_version 9408 (0.0009) -[2026-06-03 02:29:24,709][690149] Fps is (10 sec: 15564.8, 60 sec: 14062.9, 300 sec: 13301.6). Total num frames: 4841472. Throughput: 0: 13926.4. Samples: 4840448. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) -[2026-06-03 02:29:24,710][690149] Avg episode reward: [(0, '1215.050')] -[2026-06-03 02:29:26,577][691100] Updated weights for policy 0, policy_version 9474 (0.0010) -[2026-06-03 02:29:28,988][691100] Updated weights for policy 0, policy_version 9552 (0.0011) -[2026-06-03 02:29:29,709][690149] Fps is (10 sec: 16384.2, 60 sec: 14199.5, 300 sec: 13329.4). Total num frames: 4915200. Throughput: 0: 13937.8. Samples: 4924416. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) -[2026-06-03 02:29:29,709][690149] Avg episode reward: [(0, '1293.750')] -[2026-06-03 02:29:31,186][691029] Signal inference workers to stop experience collection... (450 times) -[2026-06-03 02:29:31,234][691100] InferenceWorker_p0-w0: stopping experience collection (450 times) -[2026-06-03 02:29:31,321][691029] Signal inference workers to resume experience collection... (450 times) -[2026-06-03 02:29:31,321][691100] InferenceWorker_p0-w0: resuming experience collection (450 times) -[2026-06-03 02:29:31,324][691100] Updated weights for policy 0, policy_version 9616 (0.0010) -[2026-06-03 02:29:31,746][691100] Updated weights for policy 0, policy_version 9664 (0.0009) -[2026-06-03 02:29:34,709][690149] Fps is (10 sec: 13926.5, 60 sec: 14199.5, 300 sec: 13329.4). Total num frames: 4980736. Throughput: 0: 13994.7. Samples: 4967936. Policy #0 lag: (min: 1.0, avg: 5.9, max: 65.0) -[2026-06-03 02:29:34,709][690149] Avg episode reward: [(0, '1401.550')] -[2026-06-03 02:29:34,712][691029] Saving new best policy, reward=1401.550! -[2026-06-03 02:29:35,850][691100] Updated weights for policy 0, policy_version 9731 (0.0010) -[2026-06-03 02:29:38,219][691100] Updated weights for policy 0, policy_version 9808 (0.0008) -[2026-06-03 02:29:39,709][690149] Fps is (10 sec: 13107.0, 60 sec: 14062.9, 300 sec: 13329.4). Total num frames: 5046272. Throughput: 0: 14006.0. Samples: 5052416. Policy #0 lag: (min: 1.0, avg: 5.9, max: 65.0) -[2026-06-03 02:29:39,710][690149] Avg episode reward: [(0, '1408.350')] -[2026-06-03 02:29:39,713][691029] Saving new best policy, reward=1408.350! -[2026-06-03 02:29:40,492][691100] Updated weights for policy 0, policy_version 9877 (0.0008) -[2026-06-03 02:29:42,833][691100] Updated weights for policy 0, policy_version 9952 (0.0010) -[2026-06-03 02:29:44,709][690149] Fps is (10 sec: 13107.2, 60 sec: 13789.9, 300 sec: 13329.4). Total num frames: 5111808. Throughput: 0: 14199.5. Samples: 5139968. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-03 02:29:44,710][690149] Avg episode reward: [(0, '1457.800')] -[2026-06-03 02:29:44,714][691029] Saving new best policy, reward=1457.800! -[2026-06-03 02:29:45,314][691100] Updated weights for policy 0, policy_version 10032 (0.0010) -[2026-06-03 02:29:47,628][691100] Updated weights for policy 0, policy_version 10096 (0.0010) -[2026-06-03 02:29:49,709][690149] Fps is (10 sec: 13107.3, 60 sec: 13653.3, 300 sec: 13329.4). Total num frames: 5177344. Throughput: 0: 14119.8. Samples: 5180928. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-03 02:29:49,710][690149] Avg episode reward: [(0, '1557.800')] -[2026-06-03 02:29:49,866][691029] Saving new best policy, reward=1557.800! -[2026-06-03 02:29:50,069][691100] Updated weights for policy 0, policy_version 10165 (0.0010) -[2026-06-03 02:29:52,383][691100] Updated weights for policy 0, policy_version 10229 (0.0009) -[2026-06-03 02:29:54,696][691100] Updated weights for policy 0, policy_version 10296 (0.0010) -[2026-06-03 02:29:54,709][690149] Fps is (10 sec: 15564.8, 60 sec: 14062.9, 300 sec: 13412.7). Total num frames: 5267456. Throughput: 0: 14188.1. Samples: 5265920. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0) -[2026-06-03 02:29:54,709][690149] Avg episode reward: [(0, '1493.300')] -[2026-06-03 02:29:57,037][691100] Updated weights for policy 0, policy_version 10368 (0.0009) -[2026-06-03 02:29:59,709][690149] Fps is (10 sec: 16384.1, 60 sec: 14199.5, 300 sec: 13440.4). Total num frames: 5341184. Throughput: 0: 14085.7. Samples: 5350400. Policy #0 lag: (min: 0.0, avg: 4.4, max: 64.0) -[2026-06-03 02:29:59,709][690149] Avg episode reward: [(0, '1536.200')] -[2026-06-03 02:30:01,440][691100] Updated weights for policy 0, policy_version 10464 (0.0008) -[2026-06-03 02:30:03,659][691100] Updated weights for policy 0, policy_version 10528 (0.0010) -[2026-06-03 02:30:04,709][690149] Fps is (10 sec: 13926.3, 60 sec: 14199.5, 300 sec: 13440.4). Total num frames: 5406720. Throughput: 0: 14199.5. Samples: 5393920. Policy #0 lag: (min: 0.0, avg: 4.4, max: 64.0) -[2026-06-03 02:30:04,710][690149] Avg episode reward: [(0, '1617.650')] -[2026-06-03 02:30:04,714][691029] Saving new best policy, reward=1617.650! -[2026-06-03 02:30:06,076][691100] Updated weights for policy 0, policy_version 10592 (0.0011) -[2026-06-03 02:30:08,292][691029] Signal inference workers to stop experience collection... (500 times) -[2026-06-03 02:30:08,292][691100] Updated weights for policy 0, policy_version 10656 (0.0011) -[2026-06-03 02:30:08,322][691100] InferenceWorker_p0-w0: stopping experience collection (500 times) -[2026-06-03 02:30:08,417][691029] Signal inference workers to resume experience collection... (500 times) -[2026-06-03 02:30:08,417][691100] InferenceWorker_p0-w0: resuming experience collection (500 times) -[2026-06-03 02:30:09,709][690149] Fps is (10 sec: 13107.1, 60 sec: 14199.4, 300 sec: 13440.4). Total num frames: 5472256. Throughput: 0: 14199.5. Samples: 5479424. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-03 02:30:09,710][690149] Avg episode reward: [(0, '1591.600')] -[2026-06-03 02:30:10,528][691100] Updated weights for policy 0, policy_version 10720 (0.0011) -[2026-06-03 02:30:12,885][691100] Updated weights for policy 0, policy_version 10800 (0.0011) -[2026-06-03 02:30:14,709][690149] Fps is (10 sec: 13107.4, 60 sec: 14199.5, 300 sec: 13440.4). Total num frames: 5537792. Throughput: 0: 14279.1. Samples: 5566976. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-03 02:30:14,709][690149] Avg episode reward: [(0, '1660.800')] -[2026-06-03 02:30:14,712][691029] Saving new best policy, reward=1660.800! -[2026-06-03 02:30:15,369][691100] Updated weights for policy 0, policy_version 10874 (0.0012) -[2026-06-03 02:30:17,533][691100] Updated weights for policy 0, policy_version 10934 (0.0010) -[2026-06-03 02:30:19,642][691100] Updated weights for policy 0, policy_version 10997 (0.0010) -[2026-06-03 02:30:19,709][690149] Fps is (10 sec: 15564.9, 60 sec: 14609.1, 300 sec: 13523.7). Total num frames: 5627904. Throughput: 0: 14256.4. Samples: 5609472. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-03 02:30:19,710][690149] Avg episode reward: [(0, '1657.050')] -[2026-06-03 02:30:22,011][691100] Updated weights for policy 0, policy_version 11064 (0.0010) -[2026-06-03 02:30:24,256][691100] Updated weights for policy 0, policy_version 11128 (0.0012) -[2026-06-03 02:30:24,709][690149] Fps is (10 sec: 16383.9, 60 sec: 14336.0, 300 sec: 13579.3). Total num frames: 5701632. Throughput: 0: 14370.2. Samples: 5699072. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-03 02:30:24,710][690149] Avg episode reward: [(0, '1894.600')] -[2026-06-03 02:30:24,714][691029] Saving new best policy, reward=1894.600! -[2026-06-03 02:30:26,537][691100] Updated weights for policy 0, policy_version 11200 (0.0012) -[2026-06-03 02:30:28,902][691100] Updated weights for policy 0, policy_version 11264 (0.0010) -[2026-06-03 02:30:29,709][690149] Fps is (10 sec: 13926.3, 60 sec: 14199.4, 300 sec: 13634.8). Total num frames: 5767168. Throughput: 0: 14313.2. Samples: 5784064. Policy #0 lag: (min: 0.0, avg: 5.0, max: 64.0) -[2026-06-03 02:30:29,710][690149] Avg episode reward: [(0, '2060.850')] -[2026-06-03 02:30:29,714][691029] Saving new best policy, reward=2060.850! -[2026-06-03 02:30:33,048][691100] Updated weights for policy 0, policy_version 11344 (0.0010) -[2026-06-03 02:30:34,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 13662.6). Total num frames: 5832704. Throughput: 0: 14392.9. Samples: 5828608. Policy #0 lag: (min: 0.0, avg: 5.0, max: 64.0) -[2026-06-03 02:30:34,710][690149] Avg episode reward: [(0, '2080.900')] -[2026-06-03 02:30:34,715][691029] Saving new best policy, reward=2080.900! -[2026-06-03 02:30:35,358][691100] Updated weights for policy 0, policy_version 11424 (0.0010) -[2026-06-03 02:30:37,640][691100] Updated weights for policy 0, policy_version 11504 (0.0010) -[2026-06-03 02:30:39,709][690149] Fps is (10 sec: 13926.6, 60 sec: 14336.0, 300 sec: 13690.4). Total num frames: 5906432. Throughput: 0: 14461.2. Samples: 5916672. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:30:39,709][690149] Avg episode reward: [(0, '2122.950')] -[2026-06-03 02:30:39,942][691029] Saving new best policy, reward=2122.950! -[2026-06-03 02:30:39,944][691100] Updated weights for policy 0, policy_version 11568 (0.0009) -[2026-06-03 02:30:42,281][691100] Updated weights for policy 0, policy_version 11635 (0.0010) -[2026-06-03 02:30:44,403][691100] Updated weights for policy 0, policy_version 11696 (0.0011) -[2026-06-03 02:30:44,709][690149] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 13773.7). Total num frames: 5996544. Throughput: 0: 14506.7. Samples: 6003200. Policy #0 lag: (min: 1.0, avg: 5.6, max: 65.0) -[2026-06-03 02:30:44,710][690149] Avg episode reward: [(0, '2068.300')] -[2026-06-03 02:30:46,312][691029] Signal inference workers to stop experience collection... (550 times) -[2026-06-03 02:30:46,343][691100] InferenceWorker_p0-w0: stopping experience collection (550 times) -[2026-06-03 02:30:46,433][691029] Signal inference workers to resume experience collection... (550 times) -[2026-06-03 02:30:46,433][691100] InferenceWorker_p0-w0: resuming experience collection (550 times) -[2026-06-03 02:30:46,603][691100] Updated weights for policy 0, policy_version 11763 (0.0010) -[2026-06-03 02:30:48,907][691100] Updated weights for policy 0, policy_version 11833 (0.0009) -[2026-06-03 02:30:49,709][690149] Fps is (10 sec: 15564.7, 60 sec: 14745.6, 300 sec: 13773.7). Total num frames: 6062080. Throughput: 0: 14563.6. Samples: 6049280. Policy #0 lag: (min: 1.0, avg: 5.6, max: 65.0) -[2026-06-03 02:30:49,710][690149] Avg episode reward: [(0, '2100.700')] -[2026-06-03 02:30:51,212][691100] Updated weights for policy 0, policy_version 11900 (0.0009) -[2026-06-03 02:30:54,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14336.0, 300 sec: 13773.7). Total num frames: 6127616. Throughput: 0: 14575.0. Samples: 6135296. Policy #0 lag: (min: 12.0, avg: 17.1, max: 76.0) -[2026-06-03 02:30:54,710][690149] Avg episode reward: [(0, '2058.350')] -[2026-06-03 02:30:55,342][691100] Updated weights for policy 0, policy_version 11984 (0.0011) -[2026-06-03 02:30:57,835][691100] Updated weights for policy 0, policy_version 12080 (0.0010) -[2026-06-03 02:30:59,709][690149] Fps is (10 sec: 13107.3, 60 sec: 14199.5, 300 sec: 13773.7). Total num frames: 6193152. Throughput: 0: 14643.2. Samples: 6225920. Policy #0 lag: (min: 12.0, avg: 17.1, max: 76.0) -[2026-06-03 02:30:59,710][690149] Avg episode reward: [(0, '2227.750')] -[2026-06-03 02:30:59,949][691029] Saving new best policy, reward=2227.750! -[2026-06-03 02:31:00,086][691100] Updated weights for policy 0, policy_version 12144 (0.0009) -[2026-06-03 02:31:02,301][691100] Updated weights for policy 0, policy_version 12219 (0.0009) -[2026-06-03 02:31:04,628][691100] Updated weights for policy 0, policy_version 12286 (0.0010) -[2026-06-03 02:31:04,709][690149] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 13884.7). Total num frames: 6291456. Throughput: 0: 14654.6. Samples: 6268928. Policy #0 lag: (min: 59.0, avg: 64.5, max: 123.0) -[2026-06-03 02:31:04,710][690149] Avg episode reward: [(0, '2254.900')] -[2026-06-03 02:31:04,713][691029] Saving new best policy, reward=2254.900! -[2026-06-03 02:31:06,861][691100] Updated weights for policy 0, policy_version 12352 (0.0009) -[2026-06-03 02:31:09,026][691100] Updated weights for policy 0, policy_version 12412 (0.0005) -[2026-06-03 02:31:09,709][690149] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 13884.8). Total num frames: 6356992. Throughput: 0: 14643.2. Samples: 6358016. Policy #0 lag: (min: 59.0, avg: 64.5, max: 123.0) -[2026-06-03 02:31:09,709][690149] Avg episode reward: [(0, '2419.700')] -[2026-06-03 02:31:09,713][691029] Saving new best policy, reward=2419.700! -[2026-06-03 02:31:11,159][691100] Updated weights for policy 0, policy_version 12476 (0.0009) -[2026-06-03 02:31:13,469][691100] Updated weights for policy 0, policy_version 12540 (0.0009) -[2026-06-03 02:31:14,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 13884.7). Total num frames: 6422528. Throughput: 0: 14745.6. Samples: 6447616. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-03 02:31:14,709][690149] Avg episode reward: [(0, '2299.600')] -[2026-06-03 02:31:17,499][691100] Updated weights for policy 0, policy_version 12610 (0.0009) -[2026-06-03 02:31:19,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14336.0, 300 sec: 13884.7). Total num frames: 6488064. Throughput: 0: 14700.1. Samples: 6490112. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-03 02:31:19,710][690149] Avg episode reward: [(0, '2303.000')] -[2026-06-03 02:31:19,783][691100] Updated weights for policy 0, policy_version 12676 (0.0009) -[2026-06-03 02:31:22,098][691100] Updated weights for policy 0, policy_version 12752 (0.0005) -[2026-06-03 02:31:24,115][691029] Signal inference workers to stop experience collection... (600 times) -[2026-06-03 02:31:24,141][691100] InferenceWorker_p0-w0: stopping experience collection (600 times) -[2026-06-03 02:31:24,163][691100] Updated weights for policy 0, policy_version 12802 (0.0005) -[2026-06-03 02:31:24,250][691029] Signal inference workers to resume experience collection... (600 times) -[2026-06-03 02:31:24,251][691100] InferenceWorker_p0-w0: resuming experience collection (600 times) -[2026-06-03 02:31:24,709][690149] Fps is (10 sec: 16384.1, 60 sec: 14745.6, 300 sec: 13995.8). Total num frames: 6586368. Throughput: 0: 14711.5. Samples: 6578688. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-03 02:31:24,709][690149] Avg episode reward: [(0, '2237.200')] -[2026-06-03 02:31:26,501][691100] Updated weights for policy 0, policy_version 12883 (0.0011) -[2026-06-03 02:31:28,724][691100] Updated weights for policy 0, policy_version 12944 (0.0010) -[2026-06-03 02:31:29,709][690149] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 13995.8). Total num frames: 6651904. Throughput: 0: 14711.5. Samples: 6665216. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-03 02:31:29,710][690149] Avg episode reward: [(0, '2477.600')] -[2026-06-03 02:31:29,714][691029] Saving new best policy, reward=2477.600! -[2026-06-03 02:31:31,048][691100] Updated weights for policy 0, policy_version 13011 (0.0010) -[2026-06-03 02:31:33,352][691100] Updated weights for policy 0, policy_version 13090 (0.0010) -[2026-06-03 02:31:34,709][690149] Fps is (10 sec: 13107.0, 60 sec: 14745.6, 300 sec: 13995.8). Total num frames: 6717440. Throughput: 0: 14711.4. Samples: 6711296. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-03 02:31:34,710][690149] Avg episode reward: [(0, '2635.000')] -[2026-06-03 02:31:34,714][691029] Saving new best policy, reward=2635.000! -[2026-06-03 02:31:35,456][691100] Updated weights for policy 0, policy_version 13152 (0.0011) -[2026-06-03 02:31:37,679][691100] Updated weights for policy 0, policy_version 13218 (0.0011) -[2026-06-03 02:31:39,709][690149] Fps is (10 sec: 13107.1, 60 sec: 14609.0, 300 sec: 13995.8). Total num frames: 6782976. Throughput: 0: 14779.7. Samples: 6800384. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) -[2026-06-03 02:31:39,710][690149] Avg episode reward: [(0, '2758.250')] -[2026-06-03 02:31:39,887][691029] Saving new best policy, reward=2758.250! -[2026-06-03 02:31:40,066][691100] Updated weights for policy 0, policy_version 13299 (0.0011) -[2026-06-03 02:31:42,303][691100] Updated weights for policy 0, policy_version 13365 (0.0009) -[2026-06-03 02:31:44,436][691100] Updated weights for policy 0, policy_version 13435 (0.0007) -[2026-06-03 02:31:44,709][690149] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 14106.9). Total num frames: 6881280. Throughput: 0: 14745.5. Samples: 6889472. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) -[2026-06-03 02:31:44,710][690149] Avg episode reward: [(0, '2733.050')] -[2026-06-03 02:31:46,713][691100] Updated weights for policy 0, policy_version 13504 (0.0010) -[2026-06-03 02:31:49,081][691100] Updated weights for policy 0, policy_version 13568 (0.0010) -[2026-06-03 02:31:49,709][690149] Fps is (10 sec: 16384.1, 60 sec: 14745.6, 300 sec: 14106.9). Total num frames: 6946816. Throughput: 0: 14791.1. Samples: 6934528. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0) -[2026-06-03 02:31:49,710][690149] Avg episode reward: [(0, '2901.250')] -[2026-06-03 02:31:49,714][691029] Saving new best policy, reward=2901.250! -[2026-06-03 02:31:51,270][691100] Updated weights for policy 0, policy_version 13632 (0.0012) -[2026-06-03 02:31:53,484][691100] Updated weights for policy 0, policy_version 13696 (0.0010) -[2026-06-03 02:31:54,709][690149] Fps is (10 sec: 13107.3, 60 sec: 14745.6, 300 sec: 14106.9). Total num frames: 7012352. Throughput: 0: 14734.2. Samples: 7021056. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0) -[2026-06-03 02:31:54,709][690149] Avg episode reward: [(0, '3059.050')] -[2026-06-03 02:31:54,713][691029] Saving new best policy, reward=3059.050! -[2026-06-03 02:31:57,613][691100] Updated weights for policy 0, policy_version 13776 (0.0010) -[2026-06-03 02:31:59,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 14106.9). Total num frames: 7077888. Throughput: 0: 14745.6. Samples: 7111168. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-03 02:31:59,709][690149] Avg episode reward: [(0, '3097.650')] -[2026-06-03 02:31:59,858][691029] Saving new best policy, reward=3097.650! -[2026-06-03 02:31:59,860][691100] Updated weights for policy 0, policy_version 13856 (0.0011) -[2026-06-03 02:31:59,861][691029] Signal inference workers to stop experience collection... (650 times) -[2026-06-03 02:31:59,888][691100] InferenceWorker_p0-w0: stopping experience collection (650 times) -[2026-06-03 02:31:59,975][691029] Signal inference workers to resume experience collection... (650 times) -[2026-06-03 02:31:59,976][691100] InferenceWorker_p0-w0: resuming experience collection (650 times) -[2026-06-03 02:32:02,012][691100] Updated weights for policy 0, policy_version 13922 (0.0011) -[2026-06-03 02:32:04,113][691100] Updated weights for policy 0, policy_version 13986 (0.0008) -[2026-06-03 02:32:04,709][690149] Fps is (10 sec: 16383.9, 60 sec: 14745.6, 300 sec: 14218.0). Total num frames: 7176192. Throughput: 0: 14791.1. Samples: 7155712. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-03 02:32:04,710][690149] Avg episode reward: [(0, '3065.750')] -[2026-06-03 02:32:06,354][691100] Updated weights for policy 0, policy_version 14051 (0.0010) -[2026-06-03 02:32:08,546][691100] Updated weights for policy 0, policy_version 14112 (0.0008) -[2026-06-03 02:32:09,709][690149] Fps is (10 sec: 16383.9, 60 sec: 14745.6, 300 sec: 14218.0). Total num frames: 7241728. Throughput: 0: 14791.1. Samples: 7244288. Policy #0 lag: (min: 8.0, avg: 13.2, max: 72.0) -[2026-06-03 02:32:09,710][690149] Avg episode reward: [(0, '3107.000')] -[2026-06-03 02:32:09,714][691029] Saving new best policy, reward=3107.000! -[2026-06-03 02:32:10,804][691100] Updated weights for policy 0, policy_version 14163 (0.0010) -[2026-06-03 02:32:13,057][691100] Updated weights for policy 0, policy_version 14240 (0.0006) -[2026-06-03 02:32:14,709][690149] Fps is (10 sec: 13107.3, 60 sec: 14745.6, 300 sec: 14218.0). Total num frames: 7307264. Throughput: 0: 14859.4. Samples: 7333888. Policy #0 lag: (min: 8.0, avg: 13.2, max: 72.0) -[2026-06-03 02:32:14,710][690149] Avg episode reward: [(0, '3270.600')] -[2026-06-03 02:32:14,713][691029] Saving new best policy, reward=3270.600! -[2026-06-03 02:32:15,387][691100] Updated weights for policy 0, policy_version 14320 (0.0011) -[2026-06-03 02:32:17,625][691100] Updated weights for policy 0, policy_version 14384 (0.0010) -[2026-06-03 02:32:19,677][691100] Updated weights for policy 0, policy_version 14432 (0.0010) -[2026-06-03 02:32:19,709][690149] Fps is (10 sec: 14745.7, 60 sec: 15018.7, 300 sec: 14273.5). Total num frames: 7389184. Throughput: 0: 14768.4. Samples: 7375872. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-03 02:32:19,710][690149] Avg episode reward: [(0, '3446.250')] -[2026-06-03 02:32:19,953][691029] Saving new best policy, reward=3446.250! -[2026-06-03 02:32:21,969][691100] Updated weights for policy 0, policy_version 14512 (0.0011) -[2026-06-03 02:32:24,133][691100] Updated weights for policy 0, policy_version 14576 (0.0010) -[2026-06-03 02:32:24,709][690149] Fps is (10 sec: 16384.2, 60 sec: 14745.6, 300 sec: 14329.1). Total num frames: 7471104. Throughput: 0: 14870.8. Samples: 7469568. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-03 02:32:24,709][690149] Avg episode reward: [(0, '3604.450')] -[2026-06-03 02:32:24,712][691029] Saving new best policy, reward=3604.450! -[2026-06-03 02:32:26,386][691100] Updated weights for policy 0, policy_version 14648 (0.0011) -[2026-06-03 02:32:28,583][691100] Updated weights for policy 0, policy_version 14712 (0.0006) -[2026-06-03 02:32:29,709][690149] Fps is (10 sec: 14745.6, 60 sec: 14745.6, 300 sec: 14329.1). Total num frames: 7536640. Throughput: 0: 14916.3. Samples: 7560704. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-03 02:32:29,710][690149] Avg episode reward: [(0, '3584.350')] -[2026-06-03 02:32:30,701][691100] Updated weights for policy 0, policy_version 14779 (0.0009) -[2026-06-03 02:32:32,936][691100] Updated weights for policy 0, policy_version 14845 (0.0009) -[2026-06-03 02:32:34,709][690149] Fps is (10 sec: 13107.0, 60 sec: 14745.6, 300 sec: 14329.1). Total num frames: 7602176. Throughput: 0: 14882.1. Samples: 7604224. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-03 02:32:34,710][690149] Avg episode reward: [(0, '3542.350')] -[2026-06-03 02:32:35,194][691100] Updated weights for policy 0, policy_version 14912 (0.0010) -[2026-06-03 02:32:36,926][691029] Signal inference workers to stop experience collection... (700 times) -[2026-06-03 02:32:36,955][691100] InferenceWorker_p0-w0: stopping experience collection (700 times) -[2026-06-03 02:32:37,058][691029] Signal inference workers to resume experience collection... (700 times) -[2026-06-03 02:32:37,058][691100] InferenceWorker_p0-w0: resuming experience collection (700 times) -[2026-06-03 02:32:37,335][691100] Updated weights for policy 0, policy_version 14975 (0.0010) -[2026-06-03 02:32:39,485][691100] Updated weights for policy 0, policy_version 15037 (0.0010) -[2026-06-03 02:32:39,709][690149] Fps is (10 sec: 16384.0, 60 sec: 15291.8, 300 sec: 14412.5). Total num frames: 7700480. Throughput: 0: 14984.5. Samples: 7695360. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-03 02:32:39,710][690149] Avg episode reward: [(0, '3431.050')] -[2026-06-03 02:32:41,520][691100] Updated weights for policy 0, policy_version 15102 (0.0006) -[2026-06-03 02:32:43,733][691100] Updated weights for policy 0, policy_version 15164 (0.0005) -[2026-06-03 02:32:44,709][690149] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 14412.4). Total num frames: 7766016. Throughput: 0: 15018.7. Samples: 7787008. Policy #0 lag: (min: 24.0, avg: 29.0, max: 88.0) -[2026-06-03 02:32:44,710][690149] Avg episode reward: [(0, '3417.900')] -[2026-06-03 02:32:47,784][691100] Updated weights for policy 0, policy_version 15248 (0.0009) -[2026-06-03 02:32:49,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 14384.6). Total num frames: 7831552. Throughput: 0: 15030.1. Samples: 7832064. Policy #0 lag: (min: 24.0, avg: 29.0, max: 88.0) -[2026-06-03 02:32:49,710][690149] Avg episode reward: [(0, '3724.100')] -[2026-06-03 02:32:49,714][691029] Saving new best policy, reward=3724.100! -[2026-06-03 02:32:50,111][691100] Updated weights for policy 0, policy_version 15328 (0.0010) -[2026-06-03 02:32:52,387][691100] Updated weights for policy 0, policy_version 15392 (0.0010) -[2026-06-03 02:32:54,709][690149] Fps is (10 sec: 13926.4, 60 sec: 14882.1, 300 sec: 14356.8). Total num frames: 7905280. Throughput: 0: 14961.8. Samples: 7917568. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-03 02:32:54,710][690149] Avg episode reward: [(0, '3832.400')] -[2026-06-03 02:32:54,796][691100] Updated weights for policy 0, policy_version 15461 (0.0009) -[2026-06-03 02:32:54,843][691029] Saving new best policy, reward=3832.400! -[2026-06-03 02:32:56,896][691100] Updated weights for policy 0, policy_version 15520 (0.0008) -[2026-06-03 02:32:59,077][691100] Updated weights for policy 0, policy_version 15584 (0.0008) -[2026-06-03 02:32:59,709][690149] Fps is (10 sec: 16384.0, 60 sec: 15291.7, 300 sec: 14440.1). Total num frames: 7995392. Throughput: 0: 14950.4. Samples: 8006656. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-03 02:32:59,709][690149] Avg episode reward: [(0, '4005.500')] -[2026-06-03 02:32:59,714][691029] Saving new best policy, reward=4005.500! -[2026-06-03 02:33:01,225][691100] Updated weights for policy 0, policy_version 15648 (0.0010) -[2026-06-03 02:33:03,425][691100] Updated weights for policy 0, policy_version 15714 (0.0010) -[2026-06-03 02:33:04,709][690149] Fps is (10 sec: 15564.8, 60 sec: 14745.6, 300 sec: 14440.1). Total num frames: 8060928. Throughput: 0: 15041.4. Samples: 8052736. Policy #0 lag: (min: 47.0, avg: 51.1, max: 111.0) -[2026-06-03 02:33:04,710][690149] Avg episode reward: [(0, '4126.600')] -[2026-06-03 02:33:04,714][691029] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed13/checkpoint_p0/checkpoint_000015744_8060928.pth... -[2026-06-03 02:33:04,763][691029] Saving new best policy, reward=4126.600! -[2026-06-03 02:33:05,779][691100] Updated weights for policy 0, policy_version 15792 (0.0011) -[2026-06-03 02:33:08,104][691100] Updated weights for policy 0, policy_version 15861 (0.0012) -[2026-06-03 02:33:09,709][690149] Fps is (10 sec: 13107.1, 60 sec: 14745.6, 300 sec: 14440.1). Total num frames: 8126464. Throughput: 0: 14870.7. Samples: 8138752. Policy #0 lag: (min: 47.0, avg: 51.1, max: 111.0) -[2026-06-03 02:33:09,710][690149] Avg episode reward: [(0, '4027.500')] -[2026-06-03 02:33:10,359][691100] Updated weights for policy 0, policy_version 15923 (0.0012) -[2026-06-03 02:33:12,648][691100] Updated weights for policy 0, policy_version 15987 (0.0013) -[2026-06-03 02:33:14,435][691029] Signal inference workers to stop experience collection... (750 times) -[2026-06-03 02:33:14,464][691100] InferenceWorker_p0-w0: stopping experience collection (750 times) -[2026-06-03 02:33:14,574][691029] Signal inference workers to resume experience collection... (750 times) -[2026-06-03 02:33:14,574][691100] InferenceWorker_p0-w0: resuming experience collection (750 times) -[2026-06-03 02:33:14,709][690149] Fps is (10 sec: 14745.6, 60 sec: 15018.7, 300 sec: 14495.7). Total num frames: 8208384. Throughput: 0: 14802.5. Samples: 8226816. Policy #0 lag: (min: 47.0, avg: 51.1, max: 111.0) -[2026-06-03 02:33:14,710][690149] Avg episode reward: [(0, '4101.500')] -[2026-06-03 02:33:14,940][691100] Updated weights for policy 0, policy_version 16058 (0.0011) -[2026-06-03 02:33:17,260][691100] Updated weights for policy 0, policy_version 16120 (0.0012) -[2026-06-03 02:33:19,577][691100] Updated weights for policy 0, policy_version 16181 (0.0011) -[2026-06-03 02:33:19,709][690149] Fps is (10 sec: 16384.1, 60 sec: 15018.7, 300 sec: 14551.2). Total num frames: 8290304. Throughput: 0: 14757.0. Samples: 8268288. Policy #0 lag: (min: 63.0, avg: 68.0, max: 127.0) -[2026-06-03 02:33:19,710][690149] Avg episode reward: [(0, '3891.600')] -[2026-06-03 02:33:21,976][691100] Updated weights for policy 0, policy_version 16254 (0.0011) -[2026-06-03 02:33:24,278][691100] Updated weights for policy 0, policy_version 16320 (0.0012) -[2026-06-03 02:33:24,709][690149] Fps is (10 sec: 14745.5, 60 sec: 14745.6, 300 sec: 14551.2). Total num frames: 8355840. Throughput: 0: 14665.9. Samples: 8355328. Policy #0 lag: (min: 63.0, avg: 68.0, max: 127.0) -[2026-06-03 02:33:24,710][690149] Avg episode reward: [(0, '3888.000')] -[2026-06-03 02:33:26,586][691100] Updated weights for policy 0, policy_version 16384 (0.0010) -[2026-06-03 02:33:29,709][690149] Fps is (10 sec: 13107.1, 60 sec: 14745.6, 300 sec: 14551.2). Total num frames: 8421376. Throughput: 0: 14518.0. Samples: 8440320. Policy #0 lag: (min: 10.0, avg: 14.1, max: 74.0) -[2026-06-03 02:33:29,710][690149] Avg episode reward: [(0, '3935.850')] -[2026-06-03 02:33:30,699][691100] Updated weights for policy 0, policy_version 16464 (0.0014) -[2026-06-03 02:33:32,998][691100] Updated weights for policy 0, policy_version 16530 (0.0015) -[2026-06-03 02:33:34,709][690149] Fps is (10 sec: 13107.4, 60 sec: 14745.6, 300 sec: 14523.4). Total num frames: 8486912. Throughput: 0: 14506.7. Samples: 8484864. Policy #0 lag: (min: 10.0, avg: 14.1, max: 74.0) -[2026-06-03 02:33:34,710][690149] Avg episode reward: [(0, '4021.800')] -[2026-06-03 02:33:35,349][691100] Updated weights for policy 0, policy_version 16624 (0.0010) -[2026-06-03 02:33:37,382][691100] Updated weights for policy 0, policy_version 16672 (0.0009) -[2026-06-03 02:33:39,664][691100] Updated weights for policy 0, policy_version 16736 (0.0009) -[2026-06-03 02:33:39,709][690149] Fps is (10 sec: 14745.8, 60 sec: 14472.5, 300 sec: 14523.4). Total num frames: 8568832. Throughput: 0: 14586.3. Samples: 8573952. Policy #0 lag: (min: 10.0, avg: 14.1, max: 74.0) -[2026-06-03 02:33:39,710][690149] Avg episode reward: [(0, '4112.250')] -[2026-06-03 02:33:41,757][691100] Updated weights for policy 0, policy_version 16786 (0.0010) -[2026-06-03 02:33:43,960][691100] Updated weights for policy 0, policy_version 16848 (0.0010) -[2026-06-03 02:33:44,709][690149] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 14551.2). Total num frames: 8650752. Throughput: 0: 14552.2. Samples: 8661504. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-03 02:33:44,710][690149] Avg episode reward: [(0, '4110.900')] -[2026-06-03 02:33:46,132][691100] Updated weights for policy 0, policy_version 16912 (0.0012) -[2026-06-03 02:33:48,280][691100] Updated weights for policy 0, policy_version 16962 (0.0016) -[2026-06-03 02:33:49,709][690149] Fps is (10 sec: 14745.6, 60 sec: 14745.6, 300 sec: 14551.2). Total num frames: 8716288. Throughput: 0: 14529.4. Samples: 8706560. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-03 02:33:49,710][690149] Avg episode reward: [(0, '4006.750')] -[2026-06-03 02:33:50,504][691100] Updated weights for policy 0, policy_version 17026 (0.0013) -[2026-06-03 02:33:50,744][691029] Signal inference workers to stop experience collection... (800 times) -[2026-06-03 02:33:50,774][691100] InferenceWorker_p0-w0: stopping experience collection (800 times) -[2026-06-03 02:33:50,863][691029] Signal inference workers to resume experience collection... (800 times) -[2026-06-03 02:33:50,863][691100] InferenceWorker_p0-w0: resuming experience collection (800 times) -[2026-06-03 02:33:52,647][691100] Updated weights for policy 0, policy_version 17090 (0.0010) -[2026-06-03 02:33:54,709][690149] Fps is (10 sec: 13107.1, 60 sec: 14609.0, 300 sec: 14551.2). Total num frames: 8781824. Throughput: 0: 14574.9. Samples: 8794624. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-03 02:33:54,710][690149] Avg episode reward: [(0, '4066.400')] -[2026-06-03 02:33:55,022][691100] Updated weights for policy 0, policy_version 17170 (0.0010) -[2026-06-03 02:33:55,395][691100] Updated weights for policy 0, policy_version 17216 (0.0009) -[2026-06-03 02:33:57,563][691100] Updated weights for policy 0, policy_version 17280 (0.0005) -[2026-06-03 02:33:59,668][691100] Updated weights for policy 0, policy_version 17341 (0.0005) -[2026-06-03 02:33:59,709][690149] Fps is (10 sec: 16384.1, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 8880128. Throughput: 0: 14643.2. Samples: 8885760. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:33:59,710][690149] Avg episode reward: [(0, '4104.500')] -[2026-06-03 02:34:01,804][691100] Updated weights for policy 0, policy_version 17405 (0.0005) -[2026-06-03 02:34:03,923][691100] Updated weights for policy 0, policy_version 17464 (0.0005) -[2026-06-03 02:34:04,709][690149] Fps is (10 sec: 16384.2, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 8945664. Throughput: 0: 14734.2. Samples: 8931328. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:34:04,710][690149] Avg episode reward: [(0, '4088.350')] -[2026-06-03 02:34:06,142][691100] Updated weights for policy 0, policy_version 17531 (0.0005) -[2026-06-03 02:34:08,187][691100] Updated weights for policy 0, policy_version 17593 (0.0005) -[2026-06-03 02:34:09,709][690149] Fps is (10 sec: 13107.1, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 9011200. Throughput: 0: 14825.3. Samples: 9022464. Policy #0 lag: (min: 4.0, avg: 10.2, max: 68.0) -[2026-06-03 02:34:09,710][690149] Avg episode reward: [(0, '3846.750')] -[2026-06-03 02:34:10,453][691100] Updated weights for policy 0, policy_version 17658 (0.0010) -[2026-06-03 02:34:12,606][691100] Updated weights for policy 0, policy_version 17724 (0.0009) -[2026-06-03 02:34:14,709][690149] Fps is (10 sec: 15564.8, 60 sec: 14882.2, 300 sec: 14745.6). Total num frames: 9101312. Throughput: 0: 14950.4. Samples: 9113088. Policy #0 lag: (min: 4.0, avg: 10.2, max: 68.0) -[2026-06-03 02:34:14,709][690149] Avg episode reward: [(0, '3965.400')] -[2026-06-03 02:34:16,600][691100] Updated weights for policy 0, policy_version 17808 (0.0009) -[2026-06-03 02:34:18,810][691100] Updated weights for policy 0, policy_version 17874 (0.0008) -[2026-06-03 02:34:19,709][690149] Fps is (10 sec: 16383.9, 60 sec: 14745.6, 300 sec: 14690.1). Total num frames: 9175040. Throughput: 0: 14950.4. Samples: 9157632. Policy #0 lag: (min: 4.0, avg: 10.2, max: 68.0) -[2026-06-03 02:34:19,710][690149] Avg episode reward: [(0, '4103.050')] -[2026-06-03 02:34:20,864][691100] Updated weights for policy 0, policy_version 17938 (0.0006) -[2026-06-03 02:34:23,131][691100] Updated weights for policy 0, policy_version 18018 (0.0008) -[2026-06-03 02:34:24,709][690149] Fps is (10 sec: 13926.4, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 9240576. Throughput: 0: 15030.0. Samples: 9250304. Policy #0 lag: (min: 8.0, avg: 13.3, max: 72.0) -[2026-06-03 02:34:24,710][690149] Avg episode reward: [(0, '4234.200')] -[2026-06-03 02:34:24,714][691029] Saving new best policy, reward=4234.200! -[2026-06-03 02:34:25,263][691100] Updated weights for policy 0, policy_version 18080 (0.0010) -[2026-06-03 02:34:27,250][691029] Signal inference workers to stop experience collection... (850 times) -[2026-06-03 02:34:27,280][691100] InferenceWorker_p0-w0: stopping experience collection (850 times) -[2026-06-03 02:34:27,388][691029] Signal inference workers to resume experience collection... (850 times) -[2026-06-03 02:34:27,389][691100] InferenceWorker_p0-w0: resuming experience collection (850 times) -[2026-06-03 02:34:27,500][691100] Updated weights for policy 0, policy_version 18160 (0.0012) -[2026-06-03 02:34:29,709][690149] Fps is (10 sec: 14745.6, 60 sec: 15018.7, 300 sec: 14717.8). Total num frames: 9322496. Throughput: 0: 15098.3. Samples: 9340928. Policy #0 lag: (min: 8.0, avg: 13.3, max: 72.0) -[2026-06-03 02:34:29,710][690149] Avg episode reward: [(0, '4329.250')] -[2026-06-03 02:34:29,834][691100] Updated weights for policy 0, policy_version 18224 (0.0011) -[2026-06-03 02:34:29,980][691029] Saving new best policy, reward=4329.250! -[2026-06-03 02:34:31,870][691100] Updated weights for policy 0, policy_version 18275 (0.0011) -[2026-06-03 02:34:34,167][691100] Updated weights for policy 0, policy_version 18352 (0.0013) -[2026-06-03 02:34:34,709][690149] Fps is (10 sec: 16383.9, 60 sec: 15291.7, 300 sec: 14773.4). Total num frames: 9404416. Throughput: 0: 15098.3. Samples: 9385984. Policy #0 lag: (min: 14.0, avg: 19.1, max: 78.0) -[2026-06-03 02:34:34,710][690149] Avg episode reward: [(0, '3992.200')] -[2026-06-03 02:34:36,425][691100] Updated weights for policy 0, policy_version 18402 (0.0012) -[2026-06-03 02:34:38,718][691100] Updated weights for policy 0, policy_version 18480 (0.0011) -[2026-06-03 02:34:39,709][690149] Fps is (10 sec: 14745.6, 60 sec: 15018.7, 300 sec: 14773.4). Total num frames: 9469952. Throughput: 0: 15064.2. Samples: 9472512. Policy #0 lag: (min: 14.0, avg: 19.1, max: 78.0) -[2026-06-03 02:34:39,710][690149] Avg episode reward: [(0, '4201.250')] -[2026-06-03 02:34:41,027][691100] Updated weights for policy 0, policy_version 18545 (0.0011) -[2026-06-03 02:34:43,338][691100] Updated weights for policy 0, policy_version 18611 (0.0010) -[2026-06-03 02:34:44,709][690149] Fps is (10 sec: 13107.1, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 9535488. Throughput: 0: 14984.5. Samples: 9560064. Policy #0 lag: (min: 14.0, avg: 19.1, max: 78.0) -[2026-06-03 02:34:44,710][690149] Avg episode reward: [(0, '4115.300')] -[2026-06-03 02:34:45,629][691100] Updated weights for policy 0, policy_version 18680 (0.0013) -[2026-06-03 02:34:47,846][691100] Updated weights for policy 0, policy_version 18746 (0.0013) -[2026-06-03 02:34:49,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 14690.1). Total num frames: 9601024. Throughput: 0: 14939.0. Samples: 9603584. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:34:49,710][690149] Avg episode reward: [(0, '4061.850')] -[2026-06-03 02:34:52,007][691100] Updated weights for policy 0, policy_version 18832 (0.0011) -[2026-06-03 02:34:54,281][691100] Updated weights for policy 0, policy_version 18896 (0.0013) -[2026-06-03 02:34:54,709][690149] Fps is (10 sec: 16384.4, 60 sec: 15291.8, 300 sec: 14773.4). Total num frames: 9699328. Throughput: 0: 14870.8. Samples: 9691648. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:34:54,709][690149] Avg episode reward: [(0, '4270.350')] -[2026-06-03 02:34:56,465][691100] Updated weights for policy 0, policy_version 18962 (0.0011) -[2026-06-03 02:34:58,631][691100] Updated weights for policy 0, policy_version 19026 (0.0009) -[2026-06-03 02:34:59,709][690149] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 9764864. Throughput: 0: 14859.4. Samples: 9781760. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:34:59,710][690149] Avg episode reward: [(0, '4207.000')] -[2026-06-03 02:35:00,917][691100] Updated weights for policy 0, policy_version 19107 (0.0010) -[2026-06-03 02:35:03,179][691100] Updated weights for policy 0, policy_version 19184 (0.0011) -[2026-06-03 02:35:04,709][690149] Fps is (10 sec: 13107.0, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 9830400. Throughput: 0: 14904.9. Samples: 9828352. Policy #0 lag: (min: 2.0, avg: 6.7, max: 66.0) -[2026-06-03 02:35:04,710][690149] Avg episode reward: [(0, '4496.150')] -[2026-06-03 02:35:04,714][691029] Saving new best policy, reward=4496.150! -[2026-06-03 02:35:04,969][691029] Signal inference workers to stop experience collection... (900 times) -[2026-06-03 02:35:04,997][691100] InferenceWorker_p0-w0: stopping experience collection (900 times) -[2026-06-03 02:35:05,116][691029] Signal inference workers to resume experience collection... (900 times) -[2026-06-03 02:35:05,116][691100] InferenceWorker_p0-w0: resuming experience collection (900 times) -[2026-06-03 02:35:05,288][691100] Updated weights for policy 0, policy_version 19235 (0.0012) -[2026-06-03 02:35:07,501][691100] Updated weights for policy 0, policy_version 19298 (0.0009) -[2026-06-03 02:35:09,709][690149] Fps is (10 sec: 14745.7, 60 sec: 15018.7, 300 sec: 14828.9). Total num frames: 9912320. Throughput: 0: 14791.1. Samples: 9915904. Policy #0 lag: (min: 2.0, avg: 6.7, max: 66.0) -[2026-06-03 02:35:09,710][690149] Avg episode reward: [(0, '4587.050')] -[2026-06-03 02:35:09,814][691100] Updated weights for policy 0, policy_version 19376 (0.0010) -[2026-06-03 02:35:09,994][691029] Saving new best policy, reward=4587.050! -[2026-06-03 02:35:11,954][691100] Updated weights for policy 0, policy_version 19427 (0.0009) -[2026-06-03 02:35:14,269][691100] Updated weights for policy 0, policy_version 19490 (0.0010) -[2026-06-03 02:35:14,709][690149] Fps is (10 sec: 16384.2, 60 sec: 14882.1, 300 sec: 14801.1). Total num frames: 9994240. Throughput: 0: 14700.1. Samples: 10002432. Policy #0 lag: (min: 31.0, avg: 36.3, max: 95.0) -[2026-06-03 02:35:14,709][690149] Avg episode reward: [(0, '4906.150')] -[2026-06-03 02:35:14,713][691029] Saving new best policy, reward=4906.150! -[2026-06-03 02:35:16,571][691100] Updated weights for policy 0, policy_version 19568 (0.0011) -[2026-06-03 02:35:18,691][691100] Updated weights for policy 0, policy_version 19618 (0.0011) -[2026-06-03 02:35:19,709][690149] Fps is (10 sec: 14745.6, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 10059776. Throughput: 0: 14711.5. Samples: 10048000. Policy #0 lag: (min: 31.0, avg: 36.3, max: 95.0) -[2026-06-03 02:35:19,710][690149] Avg episode reward: [(0, '4714.400')] -[2026-06-03 02:35:20,885][691100] Updated weights for policy 0, policy_version 19683 (0.0012) -[2026-06-03 02:35:23,186][691100] Updated weights for policy 0, policy_version 19760 (0.0011) -[2026-06-03 02:35:24,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 10125312. Throughput: 0: 14734.2. Samples: 10135552. Policy #0 lag: (min: 31.0, avg: 36.3, max: 95.0) -[2026-06-03 02:35:24,710][690149] Avg episode reward: [(0, '4515.850')] -[2026-06-03 02:35:25,579][691100] Updated weights for policy 0, policy_version 19837 (0.0010) -[2026-06-03 02:35:27,919][691100] Updated weights for policy 0, policy_version 19904 (0.0009) -[2026-06-03 02:35:29,709][690149] Fps is (10 sec: 13926.4, 60 sec: 14609.1, 300 sec: 14801.1). Total num frames: 10199040. Throughput: 0: 14779.8. Samples: 10225152. Policy #0 lag: (min: 59.0, avg: 62.9, max: 123.0) -[2026-06-03 02:35:29,710][690149] Avg episode reward: [(0, '4337.850')] -[2026-06-03 02:35:30,040][691100] Updated weights for policy 0, policy_version 19968 (0.0010) -[2026-06-03 02:35:32,184][691100] Updated weights for policy 0, policy_version 20032 (0.0010) -[2026-06-03 02:35:34,709][690149] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 14856.7). Total num frames: 10289152. Throughput: 0: 14836.6. Samples: 10271232. Policy #0 lag: (min: 59.0, avg: 62.9, max: 123.0) -[2026-06-03 02:35:34,710][690149] Avg episode reward: [(0, '4415.150')] -[2026-06-03 02:35:36,135][691100] Updated weights for policy 0, policy_version 20098 (0.0010) -[2026-06-03 02:35:38,474][691100] Updated weights for policy 0, policy_version 20162 (0.0009) -[2026-06-03 02:35:38,997][691100] Updated weights for policy 0, policy_version 20224 (0.0009) -[2026-06-03 02:35:39,709][690149] Fps is (10 sec: 15564.9, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 10354688. Throughput: 0: 14779.7. Samples: 10356736. Policy #0 lag: (min: 59.0, avg: 62.9, max: 123.0) -[2026-06-03 02:35:39,709][690149] Avg episode reward: [(0, '4592.800')] -[2026-06-03 02:35:40,942][691029] Signal inference workers to stop experience collection... (950 times) -[2026-06-03 02:35:40,973][691100] InferenceWorker_p0-w0: stopping experience collection (950 times) -[2026-06-03 02:35:41,064][691029] Signal inference workers to resume experience collection... (950 times) -[2026-06-03 02:35:41,065][691100] InferenceWorker_p0-w0: resuming experience collection (950 times) -[2026-06-03 02:35:43,023][691100] Updated weights for policy 0, policy_version 20304 (0.0011) -[2026-06-03 02:35:44,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 10420224. Throughput: 0: 14768.4. Samples: 10446336. Policy #0 lag: (min: 7.0, avg: 11.2, max: 71.0) -[2026-06-03 02:35:44,710][690149] Avg episode reward: [(0, '4712.100')] -[2026-06-03 02:35:45,229][691100] Updated weights for policy 0, policy_version 20368 (0.0011) -[2026-06-03 02:35:47,429][691100] Updated weights for policy 0, policy_version 20434 (0.0008) -[2026-06-03 02:35:49,709][690149] Fps is (10 sec: 14745.5, 60 sec: 15018.7, 300 sec: 14828.9). Total num frames: 10502144. Throughput: 0: 14700.1. Samples: 10489856. Policy #0 lag: (min: 7.0, avg: 11.2, max: 71.0) -[2026-06-03 02:35:49,710][690149] Avg episode reward: [(0, '4913.850')] -[2026-06-03 02:35:49,755][691100] Updated weights for policy 0, policy_version 20528 (0.0011) -[2026-06-03 02:35:49,910][691029] Saving new best policy, reward=4913.850! -[2026-06-03 02:35:51,971][691100] Updated weights for policy 0, policy_version 20592 (0.0008) -[2026-06-03 02:35:54,008][691100] Updated weights for policy 0, policy_version 20642 (0.0006) -[2026-06-03 02:35:54,709][690149] Fps is (10 sec: 16384.1, 60 sec: 14745.6, 300 sec: 14884.4). Total num frames: 10584064. Throughput: 0: 14836.6. Samples: 10583552. Policy #0 lag: (min: 7.0, avg: 11.2, max: 71.0) -[2026-06-03 02:35:54,710][690149] Avg episode reward: [(0, '4855.750')] -[2026-06-03 02:35:56,319][691100] Updated weights for policy 0, policy_version 20704 (0.0010) -[2026-06-03 02:35:58,486][691100] Updated weights for policy 0, policy_version 20768 (0.0010) -[2026-06-03 02:35:59,709][690149] Fps is (10 sec: 14745.5, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 10649600. Throughput: 0: 14825.2. Samples: 10669568. Policy #0 lag: (min: 15.0, avg: 20.6, max: 79.0) -[2026-06-03 02:35:59,710][690149] Avg episode reward: [(0, '4948.450')] -[2026-06-03 02:35:59,714][691029] Saving new best policy, reward=4948.450! -[2026-06-03 02:36:00,700][691100] Updated weights for policy 0, policy_version 20832 (0.0010) -[2026-06-03 02:36:02,940][691100] Updated weights for policy 0, policy_version 20898 (0.0007) -[2026-06-03 02:36:04,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 10715136. Throughput: 0: 14848.0. Samples: 10716160. Policy #0 lag: (min: 15.0, avg: 20.6, max: 79.0) -[2026-06-03 02:36:04,710][690149] Avg episode reward: [(0, '5035.750')] -[2026-06-03 02:36:04,714][691029] Saving new best policy, reward=5035.750! -[2026-06-03 02:36:05,045][691100] Updated weights for policy 0, policy_version 20960 (0.0008) -[2026-06-03 02:36:07,140][691100] Updated weights for policy 0, policy_version 21010 (0.0009) -[2026-06-03 02:36:09,364][691100] Updated weights for policy 0, policy_version 21073 (0.0011) -[2026-06-03 02:36:09,709][690149] Fps is (10 sec: 15565.0, 60 sec: 14882.1, 300 sec: 14856.7). Total num frames: 10805248. Throughput: 0: 14870.8. Samples: 10804736. Policy #0 lag: (min: 15.0, avg: 20.6, max: 79.0) -[2026-06-03 02:36:09,709][690149] Avg episode reward: [(0, '4875.150')] -[2026-06-03 02:36:11,613][691100] Updated weights for policy 0, policy_version 21155 (0.0012) -[2026-06-03 02:36:13,948][691100] Updated weights for policy 0, policy_version 21232 (0.0011) -[2026-06-03 02:36:14,709][690149] Fps is (10 sec: 16384.1, 60 sec: 14745.6, 300 sec: 14884.4). Total num frames: 10878976. Throughput: 0: 14836.6. Samples: 10892800. Policy #0 lag: (min: 13.0, avg: 17.1, max: 77.0) -[2026-06-03 02:36:14,709][690149] Avg episode reward: [(0, '4750.700')] -[2026-06-03 02:36:16,197][691100] Updated weights for policy 0, policy_version 21296 (0.0012) -[2026-06-03 02:36:18,070][691029] Signal inference workers to stop experience collection... (1000 times) -[2026-06-03 02:36:18,101][691100] InferenceWorker_p0-w0: stopping experience collection (1000 times) -[2026-06-03 02:36:18,188][691029] Signal inference workers to resume experience collection... (1000 times) -[2026-06-03 02:36:18,189][691100] InferenceWorker_p0-w0: resuming experience collection (1000 times) -[2026-06-03 02:36:18,239][691100] Updated weights for policy 0, policy_version 21347 (0.0011) -[2026-06-03 02:36:19,709][690149] Fps is (10 sec: 13926.3, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 10944512. Throughput: 0: 14859.4. Samples: 10939904. Policy #0 lag: (min: 13.0, avg: 17.1, max: 77.0) -[2026-06-03 02:36:19,709][690149] Avg episode reward: [(0, '4869.350')] -[2026-06-03 02:36:20,529][691100] Updated weights for policy 0, policy_version 21424 (0.0011) -[2026-06-03 02:36:22,853][691100] Updated weights for policy 0, policy_version 21491 (0.0011) -[2026-06-03 02:36:24,709][690149] Fps is (10 sec: 13107.1, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 11010048. Throughput: 0: 14870.7. Samples: 11025920. Policy #0 lag: (min: 13.0, avg: 17.1, max: 77.0) -[2026-06-03 02:36:24,710][690149] Avg episode reward: [(0, '5035.000')] -[2026-06-03 02:36:25,260][691100] Updated weights for policy 0, policy_version 21567 (0.0011) -[2026-06-03 02:36:27,483][691100] Updated weights for policy 0, policy_version 21624 (0.0010) -[2026-06-03 02:36:29,709][690149] Fps is (10 sec: 15564.8, 60 sec: 15018.7, 300 sec: 14856.7). Total num frames: 11100160. Throughput: 0: 14779.7. Samples: 11111424. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-03 02:36:29,710][690149] Avg episode reward: [(0, '4917.700')] -[2026-06-03 02:36:29,736][691100] Updated weights for policy 0, policy_version 21687 (0.0010) -[2026-06-03 02:36:31,849][691100] Updated weights for policy 0, policy_version 21747 (0.0011) -[2026-06-03 02:36:34,076][691100] Updated weights for policy 0, policy_version 21824 (0.0013) -[2026-06-03 02:36:34,709][690149] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 14884.5). Total num frames: 11173888. Throughput: 0: 14859.4. Samples: 11158528. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-03 02:36:34,709][690149] Avg episode reward: [(0, '5081.700')] -[2026-06-03 02:36:34,713][691029] Saving new best policy, reward=5081.700! -[2026-06-03 02:36:38,361][691100] Updated weights for policy 0, policy_version 21907 (0.0010) -[2026-06-03 02:36:39,709][690149] Fps is (10 sec: 13926.3, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 11239424. Throughput: 0: 14688.7. Samples: 11244544. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-03 02:36:39,710][690149] Avg episode reward: [(0, '4884.150')] -[2026-06-03 02:36:40,606][691100] Updated weights for policy 0, policy_version 21970 (0.0011) -[2026-06-03 02:36:42,749][691100] Updated weights for policy 0, policy_version 22034 (0.0011) -[2026-06-03 02:36:44,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 11304960. Throughput: 0: 14825.3. Samples: 11336704. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-03 02:36:44,709][690149] Avg episode reward: [(0, '4920.150')] -[2026-06-03 02:36:44,902][691100] Updated weights for policy 0, policy_version 22096 (0.0011) -[2026-06-03 02:36:47,245][691100] Updated weights for policy 0, policy_version 22176 (0.0011) -[2026-06-03 02:36:49,325][691100] Updated weights for policy 0, policy_version 22225 (0.0010) -[2026-06-03 02:36:49,709][690149] Fps is (10 sec: 16384.2, 60 sec: 15018.7, 300 sec: 14884.5). Total num frames: 11403264. Throughput: 0: 14722.9. Samples: 11378688. Policy #0 lag: (min: 6.0, avg: 11.4, max: 70.0) -[2026-06-03 02:36:49,709][690149] Avg episode reward: [(0, '4997.700')] -[2026-06-03 02:36:51,649][691100] Updated weights for policy 0, policy_version 22290 (0.0011) -[2026-06-03 02:36:53,814][691100] Updated weights for policy 0, policy_version 22352 (0.0012) -[2026-06-03 02:36:54,709][690149] Fps is (10 sec: 16384.1, 60 sec: 14745.6, 300 sec: 14884.5). Total num frames: 11468800. Throughput: 0: 14757.0. Samples: 11468800. Policy #0 lag: (min: 6.0, avg: 11.4, max: 70.0) -[2026-06-03 02:36:54,709][690149] Avg episode reward: [(0, '5040.150')] -[2026-06-03 02:36:55,925][691029] Signal inference workers to stop experience collection... (1050 times) -[2026-06-03 02:36:55,952][691100] InferenceWorker_p0-w0: stopping experience collection (1050 times) -[2026-06-03 02:36:56,027][691029] Signal inference workers to resume experience collection... (1050 times) -[2026-06-03 02:36:56,028][691100] InferenceWorker_p0-w0: resuming experience collection (1050 times) -[2026-06-03 02:36:56,076][691100] Updated weights for policy 0, policy_version 22418 (0.0008) -[2026-06-03 02:36:58,382][691100] Updated weights for policy 0, policy_version 22498 (0.0007) -[2026-06-03 02:36:59,709][690149] Fps is (10 sec: 13107.1, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 11534336. Throughput: 0: 14722.8. Samples: 11555328. Policy #0 lag: (min: 6.0, avg: 11.4, max: 70.0) -[2026-06-03 02:36:59,710][690149] Avg episode reward: [(0, '5191.700')] -[2026-06-03 02:36:59,715][691029] Saving new best policy, reward=5191.700! -[2026-06-03 02:37:00,797][691100] Updated weights for policy 0, policy_version 22576 (0.0010) -[2026-06-03 02:37:03,085][691100] Updated weights for policy 0, policy_version 22640 (0.0013) -[2026-06-03 02:37:04,709][690149] Fps is (10 sec: 13107.1, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 11599872. Throughput: 0: 14665.9. Samples: 11599872. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) -[2026-06-03 02:37:04,709][690149] Avg episode reward: [(0, '5251.400')] -[2026-06-03 02:37:04,713][691029] Saving new best policy, reward=5251.400! -[2026-06-03 02:37:05,290][691100] Updated weights for policy 0, policy_version 22704 (0.0013) -[2026-06-03 02:37:07,577][691100] Updated weights for policy 0, policy_version 22768 (0.0010) -[2026-06-03 02:37:09,709][690149] Fps is (10 sec: 13926.3, 60 sec: 14472.5, 300 sec: 14801.1). Total num frames: 11673600. Throughput: 0: 14643.2. Samples: 11684864. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) -[2026-06-03 02:37:09,710][690149] Avg episode reward: [(0, '5108.700')] -[2026-06-03 02:37:09,958][691100] Updated weights for policy 0, policy_version 22841 (0.0012) -[2026-06-03 02:37:12,263][691100] Updated weights for policy 0, policy_version 22909 (0.0013) -[2026-06-03 02:37:14,607][691100] Updated weights for policy 0, policy_version 22976 (0.0009) -[2026-06-03 02:37:14,709][690149] Fps is (10 sec: 16383.9, 60 sec: 14745.6, 300 sec: 14828.9). Total num frames: 11763712. Throughput: 0: 14643.2. Samples: 11770368. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) -[2026-06-03 02:37:14,710][690149] Avg episode reward: [(0, '5095.150')] -[2026-06-03 02:37:16,851][691100] Updated weights for policy 0, policy_version 23040 (0.0010) -[2026-06-03 02:37:19,709][690149] Fps is (10 sec: 15564.9, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 11829248. Throughput: 0: 14597.7. Samples: 11815424. Policy #0 lag: (min: 12.0, avg: 17.3, max: 76.0) -[2026-06-03 02:37:19,710][690149] Avg episode reward: [(0, '5061.500')] -[2026-06-03 02:37:20,808][691100] Updated weights for policy 0, policy_version 23120 (0.0011) -[2026-06-03 02:37:23,172][691100] Updated weights for policy 0, policy_version 23203 (0.0011) -[2026-06-03 02:37:24,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 11894784. Throughput: 0: 14666.0. Samples: 11904512. Policy #0 lag: (min: 12.0, avg: 17.3, max: 76.0) -[2026-06-03 02:37:24,710][690149] Avg episode reward: [(0, '4937.400')] -[2026-06-03 02:37:25,422][691100] Updated weights for policy 0, policy_version 23280 (0.0011) -[2026-06-03 02:37:27,641][691100] Updated weights for policy 0, policy_version 23344 (0.0012) -[2026-06-03 02:37:29,709][690149] Fps is (10 sec: 13926.4, 60 sec: 14472.5, 300 sec: 14801.1). Total num frames: 11968512. Throughput: 0: 14609.0. Samples: 11994112. Policy #0 lag: (min: 12.0, avg: 17.3, max: 76.0) -[2026-06-03 02:37:29,710][690149] Avg episode reward: [(0, '4975.800')] -[2026-06-03 02:37:29,918][691100] Updated weights for policy 0, policy_version 23408 (0.0012) -[2026-06-03 02:37:31,933][691029] Signal inference workers to stop experience collection... (1100 times) -[2026-06-03 02:37:31,963][691100] InferenceWorker_p0-w0: stopping experience collection (1100 times) -[2026-06-03 02:37:32,053][691029] Signal inference workers to resume experience collection... (1100 times) -[2026-06-03 02:37:32,053][691100] InferenceWorker_p0-w0: resuming experience collection (1100 times) -[2026-06-03 02:37:32,146][691100] Updated weights for policy 0, policy_version 23479 (0.0012) -[2026-06-03 02:37:34,522][691100] Updated weights for policy 0, policy_version 23551 (0.0013) -[2026-06-03 02:37:34,709][690149] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 12058624. Throughput: 0: 14654.5. Samples: 12038144. Policy #0 lag: (min: 62.0, avg: 67.6, max: 126.0) -[2026-06-03 02:37:34,710][690149] Avg episode reward: [(0, '5075.450')] -[2026-06-03 02:37:36,698][691100] Updated weights for policy 0, policy_version 23610 (0.0012) -[2026-06-03 02:37:38,811][691100] Updated weights for policy 0, policy_version 23668 (0.0010) -[2026-06-03 02:37:39,709][690149] Fps is (10 sec: 15564.7, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 12124160. Throughput: 0: 14609.0. Samples: 12126208. Policy #0 lag: (min: 62.0, avg: 67.6, max: 126.0) -[2026-06-03 02:37:39,710][690149] Avg episode reward: [(0, '5372.100')] -[2026-06-03 02:37:39,714][691029] Saving new best policy, reward=5372.100! -[2026-06-03 02:37:40,999][691100] Updated weights for policy 0, policy_version 23729 (0.0011) -[2026-06-03 02:37:43,232][691100] Updated weights for policy 0, policy_version 23794 (0.0011) -[2026-06-03 02:37:44,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 12189696. Throughput: 0: 14677.3. Samples: 12215808. Policy #0 lag: (min: 62.0, avg: 67.6, max: 126.0) -[2026-06-03 02:37:44,710][690149] Avg episode reward: [(0, '5451.750')] -[2026-06-03 02:37:44,713][691029] Saving new best policy, reward=5451.750! -[2026-06-03 02:37:45,485][691100] Updated weights for policy 0, policy_version 23859 (0.0013) -[2026-06-03 02:37:47,678][691100] Updated weights for policy 0, policy_version 23923 (0.0012) -[2026-06-03 02:37:49,709][690149] Fps is (10 sec: 13926.5, 60 sec: 14336.0, 300 sec: 14773.4). Total num frames: 12263424. Throughput: 0: 14620.4. Samples: 12257792. Policy #0 lag: (min: 4.0, avg: 8.6, max: 68.0) -[2026-06-03 02:37:49,710][690149] Avg episode reward: [(0, '5425.100')] -[2026-06-03 02:37:49,969][691100] Updated weights for policy 0, policy_version 23994 (0.0011) -[2026-06-03 02:37:54,113][691100] Updated weights for policy 0, policy_version 24065 (0.0011) -[2026-06-03 02:37:54,709][690149] Fps is (10 sec: 16383.8, 60 sec: 14745.5, 300 sec: 14773.4). Total num frames: 12353536. Throughput: 0: 14700.1. Samples: 12346368. Policy #0 lag: (min: 4.0, avg: 8.6, max: 68.0) -[2026-06-03 02:37:54,710][690149] Avg episode reward: [(0, '5181.950')] -[2026-06-03 02:37:56,366][691100] Updated weights for policy 0, policy_version 24144 (0.0009) -[2026-06-03 02:37:58,441][691100] Updated weights for policy 0, policy_version 24194 (0.0011) -[2026-06-03 02:37:59,709][690149] Fps is (10 sec: 15564.9, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 12419072. Throughput: 0: 14779.8. Samples: 12435456. Policy #0 lag: (min: 4.0, avg: 8.6, max: 68.0) -[2026-06-03 02:37:59,710][690149] Avg episode reward: [(0, '5365.750')] -[2026-06-03 02:38:00,730][691100] Updated weights for policy 0, policy_version 24258 (0.0013) -[2026-06-03 02:38:02,831][691100] Updated weights for policy 0, policy_version 24322 (0.0014) -[2026-06-03 02:38:04,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 12484608. Throughput: 0: 14825.2. Samples: 12482560. Policy #0 lag: (min: 4.0, avg: 8.6, max: 68.0) -[2026-06-03 02:38:04,710][690149] Avg episode reward: [(0, '5324.950')] -[2026-06-03 02:38:04,981][691100] Updated weights for policy 0, policy_version 24386 (0.0011) -[2026-06-03 02:38:07,278][691100] Updated weights for policy 0, policy_version 24466 (0.0012) -[2026-06-03 02:38:09,406][691029] Signal inference workers to stop experience collection... (1150 times) -[2026-06-03 02:38:09,434][691100] InferenceWorker_p0-w0: stopping experience collection (1150 times) -[2026-06-03 02:38:09,529][691029] Signal inference workers to resume experience collection... (1150 times) -[2026-06-03 02:38:09,530][691100] InferenceWorker_p0-w0: resuming experience collection (1150 times) -[2026-06-03 02:38:09,532][691100] Updated weights for policy 0, policy_version 24544 (0.0014) -[2026-06-03 02:38:09,709][690149] Fps is (10 sec: 15564.6, 60 sec: 15018.7, 300 sec: 14801.1). Total num frames: 12574720. Throughput: 0: 14859.4. Samples: 12573184. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:38:09,710][690149] Avg episode reward: [(0, '5368.000')] -[2026-06-03 02:38:11,595][691100] Updated weights for policy 0, policy_version 24592 (0.0010) -[2026-06-03 02:38:13,948][691100] Updated weights for policy 0, policy_version 24672 (0.0012) -[2026-06-03 02:38:14,709][690149] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 12648448. Throughput: 0: 14791.1. Samples: 12659712. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:38:14,710][690149] Avg episode reward: [(0, '5334.750')] -[2026-06-03 02:38:16,243][691100] Updated weights for policy 0, policy_version 24739 (0.0009) -[2026-06-03 02:38:18,484][691100] Updated weights for policy 0, policy_version 24803 (0.0012) -[2026-06-03 02:38:19,709][690149] Fps is (10 sec: 13926.5, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 12713984. Throughput: 0: 14825.2. Samples: 12705280. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:38:19,710][690149] Avg episode reward: [(0, '5390.050')] -[2026-06-03 02:38:20,827][691100] Updated weights for policy 0, policy_version 24866 (0.0013) -[2026-06-03 02:38:22,902][691100] Updated weights for policy 0, policy_version 24914 (0.0009) -[2026-06-03 02:38:24,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 12779520. Throughput: 0: 14757.0. Samples: 12790272. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:38:24,710][690149] Avg episode reward: [(0, '5261.100')] -[2026-06-03 02:38:25,189][691100] Updated weights for policy 0, policy_version 24978 (0.0010) -[2026-06-03 02:38:27,399][691100] Updated weights for policy 0, policy_version 25042 (0.0009) -[2026-06-03 02:38:29,628][691100] Updated weights for policy 0, policy_version 25120 (0.0011) -[2026-06-03 02:38:29,709][690149] Fps is (10 sec: 14745.2, 60 sec: 14882.1, 300 sec: 14828.9). Total num frames: 12861440. Throughput: 0: 14779.6. Samples: 12880896. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:38:29,712][690149] Avg episode reward: [(0, '5438.550')] -[2026-06-03 02:38:31,767][691100] Updated weights for policy 0, policy_version 25184 (0.0013) -[2026-06-03 02:38:34,014][691100] Updated weights for policy 0, policy_version 25251 (0.0013) -[2026-06-03 02:38:34,709][690149] Fps is (10 sec: 16384.2, 60 sec: 14745.6, 300 sec: 14828.9). Total num frames: 12943360. Throughput: 0: 14836.6. Samples: 12925440. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:38:34,710][690149] Avg episode reward: [(0, '5549.550')] -[2026-06-03 02:38:34,714][691029] Saving new best policy, reward=5549.550! -[2026-06-03 02:38:36,457][691100] Updated weights for policy 0, policy_version 25328 (0.0012) -[2026-06-03 02:38:38,615][691100] Updated weights for policy 0, policy_version 25378 (0.0010) -[2026-06-03 02:38:39,709][690149] Fps is (10 sec: 14745.9, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 13008896. Throughput: 0: 14791.1. Samples: 13011968. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:38:39,710][690149] Avg episode reward: [(0, '5903.700')] -[2026-06-03 02:38:39,714][691029] Saving new best policy, reward=5903.700! -[2026-06-03 02:38:40,864][691100] Updated weights for policy 0, policy_version 25442 (0.0011) -[2026-06-03 02:38:43,023][691100] Updated weights for policy 0, policy_version 25520 (0.0012) -[2026-06-03 02:38:44,709][690149] Fps is (10 sec: 13107.3, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 13074432. Throughput: 0: 14813.9. Samples: 13102080. Policy #0 lag: (min: 0.0, avg: 6.0, max: 64.0) -[2026-06-03 02:38:44,709][690149] Avg episode reward: [(0, '5943.100')] -[2026-06-03 02:38:44,713][691029] Saving new best policy, reward=5943.100! -[2026-06-03 02:38:45,378][691100] Updated weights for policy 0, policy_version 25584 (0.0012) -[2026-06-03 02:38:47,232][691029] Signal inference workers to stop experience collection... (1200 times) -[2026-06-03 02:38:47,288][691100] InferenceWorker_p0-w0: stopping experience collection (1200 times) -[2026-06-03 02:38:47,369][691029] Signal inference workers to resume experience collection... (1200 times) -[2026-06-03 02:38:47,370][691100] InferenceWorker_p0-w0: resuming experience collection (1200 times) -[2026-06-03 02:38:47,655][691100] Updated weights for policy 0, policy_version 25651 (0.0014) -[2026-06-03 02:38:49,709][690149] Fps is (10 sec: 14745.7, 60 sec: 14882.2, 300 sec: 14828.9). Total num frames: 13156352. Throughput: 0: 14711.5. Samples: 13144576. Policy #0 lag: (min: 0.0, avg: 6.0, max: 64.0) -[2026-06-03 02:38:49,710][690149] Avg episode reward: [(0, '6072.000')] -[2026-06-03 02:38:49,746][691100] Updated weights for policy 0, policy_version 25712 (0.0012) -[2026-06-03 02:38:49,903][691029] Saving new best policy, reward=6072.000! -[2026-06-03 02:38:51,919][691100] Updated weights for policy 0, policy_version 25776 (0.0012) -[2026-06-03 02:38:54,098][691100] Updated weights for policy 0, policy_version 25840 (0.0011) -[2026-06-03 02:38:54,709][690149] Fps is (10 sec: 16383.8, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 13238272. Throughput: 0: 14757.0. Samples: 13237248. Policy #0 lag: (min: 0.0, avg: 6.0, max: 64.0) -[2026-06-03 02:38:54,710][690149] Avg episode reward: [(0, '6259.550')] -[2026-06-03 02:38:54,718][691029] Saving new best policy, reward=6259.550! -[2026-06-03 02:38:56,352][691100] Updated weights for policy 0, policy_version 25907 (0.0010) -[2026-06-03 02:38:58,394][691100] Updated weights for policy 0, policy_version 25968 (0.0011) -[2026-06-03 02:38:59,709][690149] Fps is (10 sec: 14745.6, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 13303808. Throughput: 0: 14813.9. Samples: 13326336. Policy #0 lag: (min: 0.0, avg: 6.0, max: 64.0) -[2026-06-03 02:38:59,711][690149] Avg episode reward: [(0, '6309.950')] -[2026-06-03 02:38:59,714][691029] Saving new best policy, reward=6309.950! -[2026-06-03 02:39:00,661][691100] Updated weights for policy 0, policy_version 26032 (0.0015) -[2026-06-03 02:39:02,921][691100] Updated weights for policy 0, policy_version 26098 (0.0011) -[2026-06-03 02:39:04,709][690149] Fps is (10 sec: 13107.1, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 13369344. Throughput: 0: 14791.1. Samples: 13370880. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-03 02:39:04,710][690149] Avg episode reward: [(0, '6408.750')] -[2026-06-03 02:39:04,829][691029] Saving new best policy, reward=6408.750! -[2026-06-03 02:39:05,124][691100] Updated weights for policy 0, policy_version 26163 (0.0009) -[2026-06-03 02:39:07,503][691100] Updated weights for policy 0, policy_version 26231 (0.0010) -[2026-06-03 02:39:09,621][691100] Updated weights for policy 0, policy_version 26298 (0.0011) -[2026-06-03 02:39:09,709][690149] Fps is (10 sec: 16383.8, 60 sec: 14882.1, 300 sec: 14801.1). Total num frames: 13467648. Throughput: 0: 14859.4. Samples: 13458944. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-03 02:39:09,710][690149] Avg episode reward: [(0, '6289.450')] -[2026-06-03 02:39:11,845][691100] Updated weights for policy 0, policy_version 26359 (0.0011) -[2026-06-03 02:39:14,019][691100] Updated weights for policy 0, policy_version 26418 (0.0011) -[2026-06-03 02:39:14,709][690149] Fps is (10 sec: 16384.1, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 13533184. Throughput: 0: 14779.8. Samples: 13545984. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-03 02:39:14,710][690149] Avg episode reward: [(0, '6218.950')] -[2026-06-03 02:39:16,265][691100] Updated weights for policy 0, policy_version 26483 (0.0011) -[2026-06-03 02:39:18,199][691100] Updated weights for policy 0, policy_version 26530 (0.0009) -[2026-06-03 02:39:19,709][690149] Fps is (10 sec: 13107.4, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 13598720. Throughput: 0: 14882.1. Samples: 13595136. Policy #0 lag: (min: 13.0, avg: 20.0, max: 77.0) -[2026-06-03 02:39:19,710][690149] Avg episode reward: [(0, '6260.500')] -[2026-06-03 02:39:20,383][691100] Updated weights for policy 0, policy_version 26613 (0.0008) -[2026-06-03 02:39:22,529][691029] Signal inference workers to stop experience collection... (1250 times) -[2026-06-03 02:39:22,559][691100] InferenceWorker_p0-w0: stopping experience collection (1250 times) -[2026-06-03 02:39:22,665][691029] Signal inference workers to resume experience collection... (1250 times) -[2026-06-03 02:39:22,665][691100] InferenceWorker_p0-w0: resuming experience collection (1250 times) -[2026-06-03 02:39:22,714][691100] Updated weights for policy 0, policy_version 26674 (0.0011) -[2026-06-03 02:39:24,709][690149] Fps is (10 sec: 14745.5, 60 sec: 15018.6, 300 sec: 14773.4). Total num frames: 13680640. Throughput: 0: 14950.4. Samples: 13684736. Policy #0 lag: (min: 13.0, avg: 20.0, max: 77.0) -[2026-06-03 02:39:24,710][690149] Avg episode reward: [(0, '6236.150')] -[2026-06-03 02:39:24,952][691100] Updated weights for policy 0, policy_version 26748 (0.0012) -[2026-06-03 02:39:29,137][691100] Updated weights for policy 0, policy_version 26832 (0.0011) -[2026-06-03 02:39:29,709][690149] Fps is (10 sec: 16383.9, 60 sec: 15018.7, 300 sec: 14773.4). Total num frames: 13762560. Throughput: 0: 14825.2. Samples: 13769216. Policy #0 lag: (min: 13.0, avg: 20.0, max: 77.0) -[2026-06-03 02:39:29,710][690149] Avg episode reward: [(0, '6310.500')] -[2026-06-03 02:39:31,455][691100] Updated weights for policy 0, policy_version 26898 (0.0011) -[2026-06-03 02:39:33,738][691100] Updated weights for policy 0, policy_version 26976 (0.0011) -[2026-06-03 02:39:34,709][690149] Fps is (10 sec: 14745.7, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 13828096. Throughput: 0: 14904.9. Samples: 13815296. Policy #0 lag: (min: 13.0, avg: 20.0, max: 77.0) -[2026-06-03 02:39:34,710][690149] Avg episode reward: [(0, '6353.450')] -[2026-06-03 02:39:36,005][691100] Updated weights for policy 0, policy_version 27040 (0.0013) -[2026-06-03 02:39:38,319][691100] Updated weights for policy 0, policy_version 27104 (0.0014) -[2026-06-03 02:39:39,709][690149] Fps is (10 sec: 13107.3, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 13893632. Throughput: 0: 14745.6. Samples: 13900800. Policy #0 lag: (min: 8.0, avg: 13.1, max: 72.0) -[2026-06-03 02:39:39,709][690149] Avg episode reward: [(0, '6216.850')] -[2026-06-03 02:39:40,446][691100] Updated weights for policy 0, policy_version 27155 (0.0010) -[2026-06-03 02:39:42,559][691100] Updated weights for policy 0, policy_version 27232 (0.0012) -[2026-06-03 02:39:44,587][691100] Updated weights for policy 0, policy_version 27283 (0.0011) -[2026-06-03 02:39:44,709][690149] Fps is (10 sec: 14745.6, 60 sec: 15018.6, 300 sec: 14828.9). Total num frames: 13975552. Throughput: 0: 14836.6. Samples: 13993984. Policy #0 lag: (min: 8.0, avg: 13.1, max: 72.0) -[2026-06-03 02:39:44,710][690149] Avg episode reward: [(0, '6210.800')] -[2026-06-03 02:39:46,910][691100] Updated weights for policy 0, policy_version 27360 (0.0012) -[2026-06-03 02:39:48,989][691100] Updated weights for policy 0, policy_version 27410 (0.0011) -[2026-06-03 02:39:49,709][690149] Fps is (10 sec: 16384.0, 60 sec: 15018.7, 300 sec: 14773.4). Total num frames: 14057472. Throughput: 0: 14813.9. Samples: 14037504. Policy #0 lag: (min: 8.0, avg: 13.1, max: 72.0) -[2026-06-03 02:39:49,709][690149] Avg episode reward: [(0, '6256.900')] -[2026-06-03 02:39:51,134][691100] Updated weights for policy 0, policy_version 27472 (0.0010) -[2026-06-03 02:39:53,370][691100] Updated weights for policy 0, policy_version 27538 (0.0011) -[2026-06-03 02:39:54,709][690149] Fps is (10 sec: 14745.5, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 14123008. Throughput: 0: 14859.4. Samples: 14127616. Policy #0 lag: (min: 8.0, avg: 13.1, max: 72.0) -[2026-06-03 02:39:54,710][690149] Avg episode reward: [(0, '6432.050')] -[2026-06-03 02:39:54,715][691029] Saving new best policy, reward=6432.050! -[2026-06-03 02:39:55,761][691100] Updated weights for policy 0, policy_version 27616 (0.0011) -[2026-06-03 02:39:58,000][691100] Updated weights for policy 0, policy_version 27682 (0.0011) -[2026-06-03 02:39:59,709][690149] Fps is (10 sec: 13107.1, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 14188544. Throughput: 0: 14916.3. Samples: 14217216. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:39:59,710][690149] Avg episode reward: [(0, '6412.650')] -[2026-06-03 02:40:00,062][691029] Signal inference workers to stop experience collection... (1300 times) -[2026-06-03 02:40:00,092][691100] InferenceWorker_p0-w0: stopping experience collection (1300 times) -[2026-06-03 02:40:00,196][691029] Signal inference workers to resume experience collection... (1300 times) -[2026-06-03 02:40:00,197][691100] InferenceWorker_p0-w0: resuming experience collection (1300 times) -[2026-06-03 02:40:00,226][691100] Updated weights for policy 0, policy_version 27745 (0.0012) -[2026-06-03 02:40:02,360][691100] Updated weights for policy 0, policy_version 27808 (0.0011) -[2026-06-03 02:40:04,709][690149] Fps is (10 sec: 14745.6, 60 sec: 15018.7, 300 sec: 14773.4). Total num frames: 14270464. Throughput: 0: 14756.9. Samples: 14259200. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:40:04,710][690149] Avg episode reward: [(0, '6451.750')] -[2026-06-03 02:40:04,716][691100] Updated weights for policy 0, policy_version 27888 (0.0011) -[2026-06-03 02:40:04,843][691029] Saving new best policy, reward=6451.750! -[2026-06-03 02:40:06,846][691100] Updated weights for policy 0, policy_version 27952 (0.0011) -[2026-06-03 02:40:08,917][691100] Updated weights for policy 0, policy_version 28004 (0.0012) -[2026-06-03 02:40:09,709][690149] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 14352384. Throughput: 0: 14859.4. Samples: 14353408. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:40:09,712][690149] Avg episode reward: [(0, '6664.850')] -[2026-06-03 02:40:09,717][691029] Saving new best policy, reward=6664.850! -[2026-06-03 02:40:11,245][691100] Updated weights for policy 0, policy_version 28080 (0.0013) -[2026-06-03 02:40:13,521][691100] Updated weights for policy 0, policy_version 28147 (0.0011) -[2026-06-03 02:40:14,709][690149] Fps is (10 sec: 14745.7, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 14417920. Throughput: 0: 14927.6. Samples: 14440960. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:40:14,710][690149] Avg episode reward: [(0, '6596.200')] -[2026-06-03 02:40:15,718][691100] Updated weights for policy 0, policy_version 28212 (0.0010) -[2026-06-03 02:40:17,804][691100] Updated weights for policy 0, policy_version 28272 (0.0008) -[2026-06-03 02:40:19,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 14483456. Throughput: 0: 14893.5. Samples: 14485504. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-03 02:40:19,711][690149] Avg episode reward: [(0, '6443.900')] -[2026-06-03 02:40:20,022][691100] Updated weights for policy 0, policy_version 28336 (0.0011) -[2026-06-03 02:40:22,205][691100] Updated weights for policy 0, policy_version 28400 (0.0012) -[2026-06-03 02:40:24,256][691100] Updated weights for policy 0, policy_version 28448 (0.0012) -[2026-06-03 02:40:24,709][690149] Fps is (10 sec: 16383.8, 60 sec: 15018.7, 300 sec: 14856.7). Total num frames: 14581760. Throughput: 0: 15018.6. Samples: 14576640. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-03 02:40:24,710][690149] Avg episode reward: [(0, '6500.400')] -[2026-06-03 02:40:26,543][691100] Updated weights for policy 0, policy_version 28512 (0.0012) -[2026-06-03 02:40:28,864][691100] Updated weights for policy 0, policy_version 28579 (0.0013) -[2026-06-03 02:40:29,709][690149] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 14647296. Throughput: 0: 14859.4. Samples: 14662656. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-03 02:40:29,710][690149] Avg episode reward: [(0, '6395.700')] -[2026-06-03 02:40:31,217][691100] Updated weights for policy 0, policy_version 28661 (0.0014) -[2026-06-03 02:40:33,600][691100] Updated weights for policy 0, policy_version 28732 (0.0013) -[2026-06-03 02:40:34,709][690149] Fps is (10 sec: 13107.3, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 14712832. Throughput: 0: 14870.7. Samples: 14706688. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-03 02:40:34,710][690149] Avg episode reward: [(0, '6470.400')] -[2026-06-03 02:40:35,929][691100] Updated weights for policy 0, policy_version 28800 (0.0013) -[2026-06-03 02:40:37,655][691029] Signal inference workers to stop experience collection... (1350 times) -[2026-06-03 02:40:37,683][691100] InferenceWorker_p0-w0: stopping experience collection (1350 times) -[2026-06-03 02:40:37,796][691029] Signal inference workers to resume experience collection... (1350 times) -[2026-06-03 02:40:37,797][691100] InferenceWorker_p0-w0: resuming experience collection (1350 times) -[2026-06-03 02:40:38,222][691100] Updated weights for policy 0, policy_version 28863 (0.0013) -[2026-06-03 02:40:39,709][690149] Fps is (10 sec: 13107.1, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 14778368. Throughput: 0: 14734.2. Samples: 14790656. Policy #0 lag: (min: 14.0, avg: 18.7, max: 78.0) -[2026-06-03 02:40:39,710][690149] Avg episode reward: [(0, '6415.250')] -[2026-06-03 02:40:40,621][691100] Updated weights for policy 0, policy_version 28927 (0.0013) -[2026-06-03 02:40:42,858][691100] Updated weights for policy 0, policy_version 28984 (0.0012) -[2026-06-03 02:40:44,709][690149] Fps is (10 sec: 13106.9, 60 sec: 14472.5, 300 sec: 14717.8). Total num frames: 14843904. Throughput: 0: 14677.3. Samples: 14877696. Policy #0 lag: (min: 14.0, avg: 18.7, max: 78.0) -[2026-06-03 02:40:44,710][690149] Avg episode reward: [(0, '6404.500')] -[2026-06-03 02:40:45,173][691100] Updated weights for policy 0, policy_version 29050 (0.0011) -[2026-06-03 02:40:47,336][691100] Updated weights for policy 0, policy_version 29110 (0.0012) -[2026-06-03 02:40:49,500][691100] Updated weights for policy 0, policy_version 29184 (0.0013) -[2026-06-03 02:40:49,709][690149] Fps is (10 sec: 16383.8, 60 sec: 14745.5, 300 sec: 14773.4). Total num frames: 14942208. Throughput: 0: 14688.7. Samples: 14920192. Policy #0 lag: (min: 14.0, avg: 18.7, max: 78.0) -[2026-06-03 02:40:49,710][690149] Avg episode reward: [(0, '6259.550')] -[2026-06-03 02:40:51,773][691100] Updated weights for policy 0, policy_version 29248 (0.0010) -[2026-06-03 02:40:53,901][691100] Updated weights for policy 0, policy_version 29312 (0.0014) -[2026-06-03 02:40:54,709][690149] Fps is (10 sec: 16384.1, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 15007744. Throughput: 0: 14620.4. Samples: 15011328. Policy #0 lag: (min: 14.0, avg: 18.7, max: 78.0) -[2026-06-03 02:40:54,710][690149] Avg episode reward: [(0, '6300.000')] -[2026-06-03 02:40:56,147][691100] Updated weights for policy 0, policy_version 29376 (0.0014) -[2026-06-03 02:40:59,709][690149] Fps is (10 sec: 13107.4, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 15073280. Throughput: 0: 14597.7. Samples: 15097856. Policy #0 lag: (min: 2.0, avg: 7.5, max: 66.0) -[2026-06-03 02:40:59,710][690149] Avg episode reward: [(0, '6426.400')] -[2026-06-03 02:41:00,229][691100] Updated weights for policy 0, policy_version 29441 (0.0014) -[2026-06-03 02:41:02,495][691100] Updated weights for policy 0, policy_version 29506 (0.0013) -[2026-06-03 02:41:04,709][690149] Fps is (10 sec: 13107.3, 60 sec: 14472.5, 300 sec: 14690.0). Total num frames: 15138816. Throughput: 0: 14563.5. Samples: 15140864. Policy #0 lag: (min: 2.0, avg: 7.5, max: 66.0) -[2026-06-03 02:41:04,714][690149] Avg episode reward: [(0, '6407.100')] -[2026-06-03 02:41:04,766][691100] Updated weights for policy 0, policy_version 29570 (0.0011) -[2026-06-03 02:41:07,045][691100] Updated weights for policy 0, policy_version 29634 (0.0012) -[2026-06-03 02:41:09,426][691100] Updated weights for policy 0, policy_version 29698 (0.0012) -[2026-06-03 02:41:09,709][690149] Fps is (10 sec: 14745.6, 60 sec: 14472.5, 300 sec: 14717.8). Total num frames: 15220736. Throughput: 0: 14449.8. Samples: 15226880. Policy #0 lag: (min: 2.0, avg: 7.5, max: 66.0) -[2026-06-03 02:41:09,710][690149] Avg episode reward: [(0, '6537.200')] -[2026-06-03 02:41:09,974][691100] Updated weights for policy 0, policy_version 29760 (0.0012) -[2026-06-03 02:41:14,037][691100] Updated weights for policy 0, policy_version 29840 (0.0011) -[2026-06-03 02:41:14,174][691029] Signal inference workers to stop experience collection... (1400 times) -[2026-06-03 02:41:14,205][691100] InferenceWorker_p0-w0: stopping experience collection (1400 times) -[2026-06-03 02:41:14,292][691029] Signal inference workers to resume experience collection... (1400 times) -[2026-06-03 02:41:14,293][691100] InferenceWorker_p0-w0: resuming experience collection (1400 times) -[2026-06-03 02:41:14,709][690149] Fps is (10 sec: 16384.3, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 15302656. Throughput: 0: 14415.7. Samples: 15311360. Policy #0 lag: (min: 2.0, avg: 7.5, max: 66.0) -[2026-06-03 02:41:14,712][690149] Avg episode reward: [(0, '6587.800')] -[2026-06-03 02:41:16,464][691100] Updated weights for policy 0, policy_version 29920 (0.0012) -[2026-06-03 02:41:18,658][691100] Updated weights for policy 0, policy_version 29984 (0.0012) -[2026-06-03 02:41:19,709][690149] Fps is (10 sec: 14745.5, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 15368192. Throughput: 0: 14427.0. Samples: 15355904. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-03 02:41:19,710][690149] Avg episode reward: [(0, '6587.750')] -[2026-06-03 02:41:20,905][691100] Updated weights for policy 0, policy_version 30048 (0.0013) -[2026-06-03 02:41:23,000][691100] Updated weights for policy 0, policy_version 30098 (0.0014) -[2026-06-03 02:41:24,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14690.1). Total num frames: 15433728. Throughput: 0: 14518.1. Samples: 15443968. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-03 02:41:24,709][690149] Avg episode reward: [(0, '6694.450')] -[2026-06-03 02:41:24,714][691029] Saving new best policy, reward=6694.450! -[2026-06-03 02:41:25,300][691100] Updated weights for policy 0, policy_version 30176 (0.0014) -[2026-06-03 02:41:27,445][691100] Updated weights for policy 0, policy_version 30240 (0.0011) -[2026-06-03 02:41:29,709][690149] Fps is (10 sec: 13926.5, 60 sec: 14336.0, 300 sec: 14690.1). Total num frames: 15507456. Throughput: 0: 14586.4. Samples: 15534080. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-03 02:41:29,710][690149] Avg episode reward: [(0, '6744.000')] -[2026-06-03 02:41:29,778][691100] Updated weights for policy 0, policy_version 30305 (0.0012) -[2026-06-03 02:41:29,866][691029] Saving new best policy, reward=6744.000! -[2026-06-03 02:41:32,131][691100] Updated weights for policy 0, policy_version 30370 (0.0011) -[2026-06-03 02:41:34,579][691100] Updated weights for policy 0, policy_version 30448 (0.0013) -[2026-06-03 02:41:34,709][690149] Fps is (10 sec: 15564.5, 60 sec: 14609.1, 300 sec: 14745.6). Total num frames: 15589376. Throughput: 0: 14540.8. Samples: 15574528. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-03 02:41:34,710][690149] Avg episode reward: [(0, '6726.300')] -[2026-06-03 02:41:36,845][691100] Updated weights for policy 0, policy_version 30512 (0.0012) -[2026-06-03 02:41:39,073][691100] Updated weights for policy 0, policy_version 30576 (0.0011) -[2026-06-03 02:41:39,709][690149] Fps is (10 sec: 15564.8, 60 sec: 14745.6, 300 sec: 14773.4). Total num frames: 15663104. Throughput: 0: 14484.0. Samples: 15663104. Policy #0 lag: (min: 7.0, avg: 12.1, max: 71.0) -[2026-06-03 02:41:39,710][690149] Avg episode reward: [(0, '6831.700')] -[2026-06-03 02:41:39,713][691029] Saving new best policy, reward=6831.700! -[2026-06-03 02:41:41,314][691100] Updated weights for policy 0, policy_version 30627 (0.0011) -[2026-06-03 02:41:43,611][691100] Updated weights for policy 0, policy_version 30704 (0.0013) -[2026-06-03 02:41:44,709][690149] Fps is (10 sec: 13926.4, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 15728640. Throughput: 0: 14438.4. Samples: 15747584. Policy #0 lag: (min: 7.0, avg: 12.1, max: 71.0) -[2026-06-03 02:41:44,710][690149] Avg episode reward: [(0, '6932.600')] -[2026-06-03 02:41:44,714][691029] Saving new best policy, reward=6932.600! -[2026-06-03 02:41:46,005][691100] Updated weights for policy 0, policy_version 30771 (0.0013) -[2026-06-03 02:41:48,237][691100] Updated weights for policy 0, policy_version 30833 (0.0013) -[2026-06-03 02:41:49,709][690149] Fps is (10 sec: 13106.7, 60 sec: 14199.4, 300 sec: 14662.3). Total num frames: 15794176. Throughput: 0: 14461.1. Samples: 15791616. Policy #0 lag: (min: 7.0, avg: 12.1, max: 71.0) -[2026-06-03 02:41:49,711][690149] Avg episode reward: [(0, '6835.700')] -[2026-06-03 02:41:50,477][691100] Updated weights for policy 0, policy_version 30896 (0.0013) -[2026-06-03 02:41:52,462][691029] Signal inference workers to stop experience collection... (1450 times) -[2026-06-03 02:41:52,491][691100] InferenceWorker_p0-w0: stopping experience collection (1450 times) -[2026-06-03 02:41:52,588][691029] Signal inference workers to resume experience collection... (1450 times) -[2026-06-03 02:41:52,589][691100] InferenceWorker_p0-w0: resuming experience collection (1450 times) -[2026-06-03 02:41:52,726][691100] Updated weights for policy 0, policy_version 30960 (0.0014) -[2026-06-03 02:41:54,709][690149] Fps is (10 sec: 13926.3, 60 sec: 14336.0, 300 sec: 14690.1). Total num frames: 15867904. Throughput: 0: 14495.3. Samples: 15879168. Policy #0 lag: (min: 7.0, avg: 12.1, max: 71.0) -[2026-06-03 02:41:54,710][690149] Avg episode reward: [(0, '6849.700')] -[2026-06-03 02:41:54,936][691100] Updated weights for policy 0, policy_version 31026 (0.0014) -[2026-06-03 02:41:57,323][691100] Updated weights for policy 0, policy_version 31095 (0.0013) -[2026-06-03 02:41:59,609][691100] Updated weights for policy 0, policy_version 31155 (0.0013) -[2026-06-03 02:41:59,709][690149] Fps is (10 sec: 15565.1, 60 sec: 14609.0, 300 sec: 14745.6). Total num frames: 15949824. Throughput: 0: 14461.1. Samples: 15962112. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-03 02:41:59,710][690149] Avg episode reward: [(0, '6830.150')] -[2026-06-03 02:42:02,001][691100] Updated weights for policy 0, policy_version 31226 (0.0015) -[2026-06-03 02:42:04,182][691100] Updated weights for policy 0, policy_version 31286 (0.0012) -[2026-06-03 02:42:04,709][690149] Fps is (10 sec: 15565.0, 60 sec: 14745.6, 300 sec: 14745.6). Total num frames: 16023552. Throughput: 0: 14427.0. Samples: 16005120. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-03 02:42:04,710][690149] Avg episode reward: [(0, '6872.300')] -[2026-06-03 02:42:08,538][691100] Updated weights for policy 0, policy_version 31392 (0.0014) -[2026-06-03 02:42:09,709][690149] Fps is (10 sec: 13926.6, 60 sec: 14472.5, 300 sec: 14662.3). Total num frames: 16089088. Throughput: 0: 14404.2. Samples: 16092160. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-03 02:42:09,710][690149] Avg episode reward: [(0, '6966.750')] -[2026-06-03 02:42:09,716][691029] Saving new best policy, reward=6966.750! -[2026-06-03 02:42:10,831][691100] Updated weights for policy 0, policy_version 31442 (0.0014) -[2026-06-03 02:42:12,939][691100] Updated weights for policy 0, policy_version 31490 (0.0015) -[2026-06-03 02:42:14,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14662.3). Total num frames: 16154624. Throughput: 0: 14336.0. Samples: 16179200. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-03 02:42:14,710][690149] Avg episode reward: [(0, '7032.400')] -[2026-06-03 02:42:14,714][691029] Saving new best policy, reward=7032.400! -[2026-06-03 02:42:15,257][691100] Updated weights for policy 0, policy_version 31553 (0.0013) -[2026-06-03 02:42:17,720][691100] Updated weights for policy 0, policy_version 31632 (0.0013) -[2026-06-03 02:42:19,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14662.3). Total num frames: 16220160. Throughput: 0: 14370.1. Samples: 16221184. Policy #0 lag: (min: 11.0, avg: 15.5, max: 75.0) -[2026-06-03 02:42:19,710][690149] Avg episode reward: [(0, '7034.250')] -[2026-06-03 02:42:19,715][691029] Saving new best policy, reward=7034.250! -[2026-06-03 02:42:19,895][691100] Updated weights for policy 0, policy_version 31696 (0.0014) -[2026-06-03 02:42:22,122][691100] Updated weights for policy 0, policy_version 31761 (0.0010) -[2026-06-03 02:42:24,353][691100] Updated weights for policy 0, policy_version 31826 (0.0012) -[2026-06-03 02:42:24,709][690149] Fps is (10 sec: 15564.7, 60 sec: 14609.0, 300 sec: 14717.8). Total num frames: 16310272. Throughput: 0: 14381.5. Samples: 16310272. Policy #0 lag: (min: 11.0, avg: 15.5, max: 75.0) -[2026-06-03 02:42:24,710][690149] Avg episode reward: [(0, '6961.150')] -[2026-06-03 02:42:26,674][691100] Updated weights for policy 0, policy_version 31904 (0.0013) -[2026-06-03 02:42:28,816][691100] Updated weights for policy 0, policy_version 31954 (0.0012) -[2026-06-03 02:42:29,709][690149] Fps is (10 sec: 16383.9, 60 sec: 14609.0, 300 sec: 14662.3). Total num frames: 16384000. Throughput: 0: 14427.0. Samples: 16396800. Policy #0 lag: (min: 11.0, avg: 15.5, max: 75.0) -[2026-06-03 02:42:29,710][690149] Avg episode reward: [(0, '7106.450')] -[2026-06-03 02:42:29,714][691029] Saving new best policy, reward=7106.450! -[2026-06-03 02:42:30,914][691029] Signal inference workers to stop experience collection... (1500 times) -[2026-06-03 02:42:30,944][691100] InferenceWorker_p0-w0: stopping experience collection (1500 times) -[2026-06-03 02:42:31,065][691029] Signal inference workers to resume experience collection... (1500 times) -[2026-06-03 02:42:31,066][691100] InferenceWorker_p0-w0: resuming experience collection (1500 times) -[2026-06-03 02:42:31,242][691100] Updated weights for policy 0, policy_version 32034 (0.0014) -[2026-06-03 02:42:33,536][691100] Updated weights for policy 0, policy_version 32099 (0.0014) -[2026-06-03 02:42:34,709][690149] Fps is (10 sec: 13926.6, 60 sec: 14336.0, 300 sec: 14662.3). Total num frames: 16449536. Throughput: 0: 14427.2. Samples: 16440832. Policy #0 lag: (min: 11.0, avg: 15.5, max: 75.0) -[2026-06-03 02:42:34,710][690149] Avg episode reward: [(0, '6831.400')] -[2026-06-03 02:42:35,621][691100] Updated weights for policy 0, policy_version 32162 (0.0010) -[2026-06-03 02:42:37,779][691100] Updated weights for policy 0, policy_version 32211 (0.0010) -[2026-06-03 02:42:39,709][690149] Fps is (10 sec: 13107.3, 60 sec: 14199.5, 300 sec: 14662.3). Total num frames: 16515072. Throughput: 0: 14438.4. Samples: 16528896. Policy #0 lag: (min: 11.0, avg: 15.5, max: 75.0) -[2026-06-03 02:42:39,710][690149] Avg episode reward: [(0, '6832.400')] -[2026-06-03 02:42:40,094][691100] Updated weights for policy 0, policy_version 32272 (0.0012) -[2026-06-03 02:42:42,374][691100] Updated weights for policy 0, policy_version 32336 (0.0010) -[2026-06-03 02:42:44,626][691100] Updated weights for policy 0, policy_version 32400 (0.0011) -[2026-06-03 02:42:44,709][690149] Fps is (10 sec: 13926.5, 60 sec: 14336.0, 300 sec: 14662.3). Total num frames: 16588800. Throughput: 0: 14506.8. Samples: 16614912. Policy #0 lag: (min: 15.0, avg: 21.7, max: 79.0) -[2026-06-03 02:42:44,709][690149] Avg episode reward: [(0, '6839.950')] -[2026-06-03 02:42:46,876][691100] Updated weights for policy 0, policy_version 32464 (0.0012) -[2026-06-03 02:42:47,298][691100] Updated weights for policy 0, policy_version 32511 (0.0013) -[2026-06-03 02:42:49,515][691100] Updated weights for policy 0, policy_version 32576 (0.0011) -[2026-06-03 02:42:49,709][690149] Fps is (10 sec: 16384.0, 60 sec: 14745.7, 300 sec: 14662.3). Total num frames: 16678912. Throughput: 0: 14529.4. Samples: 16658944. Policy #0 lag: (min: 15.0, avg: 21.7, max: 79.0) -[2026-06-03 02:42:49,710][690149] Avg episode reward: [(0, '6816.800')] -[2026-06-03 02:42:51,671][691100] Updated weights for policy 0, policy_version 32638 (0.0011) -[2026-06-03 02:42:53,940][691100] Updated weights for policy 0, policy_version 32704 (0.0011) -[2026-06-03 02:42:54,709][690149] Fps is (10 sec: 15564.6, 60 sec: 14609.1, 300 sec: 14662.3). Total num frames: 16744448. Throughput: 0: 14529.4. Samples: 16745984. Policy #0 lag: (min: 15.0, avg: 21.7, max: 79.0) -[2026-06-03 02:42:54,710][690149] Avg episode reward: [(0, '6841.850')] -[2026-06-03 02:42:57,798][691100] Updated weights for policy 0, policy_version 32769 (0.0013) -[2026-06-03 02:42:59,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14336.0, 300 sec: 14662.3). Total num frames: 16809984. Throughput: 0: 14609.1. Samples: 16836608. Policy #0 lag: (min: 15.0, avg: 21.7, max: 79.0) -[2026-06-03 02:42:59,710][690149] Avg episode reward: [(0, '6968.500')] -[2026-06-03 02:43:00,046][691100] Updated weights for policy 0, policy_version 32834 (0.0012) -[2026-06-03 02:43:02,461][691100] Updated weights for policy 0, policy_version 32898 (0.0011) -[2026-06-03 02:43:04,709][690149] Fps is (10 sec: 13107.1, 60 sec: 14199.4, 300 sec: 14579.0). Total num frames: 16875520. Throughput: 0: 14574.9. Samples: 16877056. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:43:04,710][690149] Avg episode reward: [(0, '7115.100')] -[2026-06-03 02:43:04,872][691100] Updated weights for policy 0, policy_version 32978 (0.0013) -[2026-06-03 02:43:04,966][691029] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed13/checkpoint_p0/checkpoint_000032992_16891904.pth... -[2026-06-03 02:43:04,988][691029] Saving new best policy, reward=7115.100! -[2026-06-03 02:43:07,133][691100] Updated weights for policy 0, policy_version 33043 (0.0012) -[2026-06-03 02:43:07,216][691029] Signal inference workers to stop experience collection... (1550 times) -[2026-06-03 02:43:07,247][691100] InferenceWorker_p0-w0: stopping experience collection (1550 times) -[2026-06-03 02:43:07,347][691029] Signal inference workers to resume experience collection... (1550 times) -[2026-06-03 02:43:07,348][691100] InferenceWorker_p0-w0: resuming experience collection (1550 times) -[2026-06-03 02:43:09,545][691100] Updated weights for policy 0, policy_version 33120 (0.0012) -[2026-06-03 02:43:09,709][690149] Fps is (10 sec: 15564.8, 60 sec: 14609.1, 300 sec: 14634.5). Total num frames: 16965632. Throughput: 0: 14529.4. Samples: 16964096. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:43:09,710][690149] Avg episode reward: [(0, '7176.250')] -[2026-06-03 02:43:09,865][691029] Saving new best policy, reward=7176.250! -[2026-06-03 02:43:11,698][691100] Updated weights for policy 0, policy_version 33184 (0.0011) -[2026-06-03 02:43:13,975][691100] Updated weights for policy 0, policy_version 33249 (0.0012) -[2026-06-03 02:43:14,709][690149] Fps is (10 sec: 16384.1, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 17039360. Throughput: 0: 14575.0. Samples: 17052672. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:43:14,710][690149] Avg episode reward: [(0, '7214.150')] -[2026-06-03 02:43:14,714][691029] Saving new best policy, reward=7214.150! -[2026-06-03 02:43:16,123][691100] Updated weights for policy 0, policy_version 33312 (0.0010) -[2026-06-03 02:43:18,563][691100] Updated weights for policy 0, policy_version 33392 (0.0010) -[2026-06-03 02:43:19,709][690149] Fps is (10 sec: 13926.3, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 17104896. Throughput: 0: 14586.3. Samples: 17097216. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:43:19,710][690149] Avg episode reward: [(0, '7332.850')] -[2026-06-03 02:43:19,714][691029] Saving new best policy, reward=7332.850! -[2026-06-03 02:43:20,897][691100] Updated weights for policy 0, policy_version 33459 (0.0014) -[2026-06-03 02:43:23,121][691100] Updated weights for policy 0, policy_version 33523 (0.0012) -[2026-06-03 02:43:24,709][690149] Fps is (10 sec: 13107.1, 60 sec: 14336.0, 300 sec: 14606.8). Total num frames: 17170432. Throughput: 0: 14529.4. Samples: 17182720. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:43:24,710][690149] Avg episode reward: [(0, '7334.450')] -[2026-06-03 02:43:24,717][691029] Saving new best policy, reward=7334.450! -[2026-06-03 02:43:25,323][691100] Updated weights for policy 0, policy_version 33589 (0.0011) -[2026-06-03 02:43:27,493][691100] Updated weights for policy 0, policy_version 33649 (0.0013) -[2026-06-03 02:43:29,700][691100] Updated weights for policy 0, policy_version 33712 (0.0014) -[2026-06-03 02:43:29,709][690149] Fps is (10 sec: 15564.8, 60 sec: 14609.1, 300 sec: 14634.5). Total num frames: 17260544. Throughput: 0: 14597.6. Samples: 17271808. Policy #0 lag: (min: 15.0, avg: 19.8, max: 79.0) -[2026-06-03 02:43:29,710][690149] Avg episode reward: [(0, '7295.800')] -[2026-06-03 02:43:31,991][691100] Updated weights for policy 0, policy_version 33789 (0.0015) -[2026-06-03 02:43:34,303][691100] Updated weights for policy 0, policy_version 33852 (0.0011) -[2026-06-03 02:43:34,709][690149] Fps is (10 sec: 16383.8, 60 sec: 14745.5, 300 sec: 14662.3). Total num frames: 17334272. Throughput: 0: 14609.0. Samples: 17316352. Policy #0 lag: (min: 15.0, avg: 19.8, max: 79.0) -[2026-06-03 02:43:34,711][690149] Avg episode reward: [(0, '7300.150')] -[2026-06-03 02:43:36,541][691100] Updated weights for policy 0, policy_version 33917 (0.0011) -[2026-06-03 02:43:38,845][691100] Updated weights for policy 0, policy_version 33983 (0.0013) -[2026-06-03 02:43:39,709][690149] Fps is (10 sec: 13926.4, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 17399808. Throughput: 0: 14586.3. Samples: 17402368. Policy #0 lag: (min: 15.0, avg: 19.8, max: 79.0) -[2026-06-03 02:43:39,710][690149] Avg episode reward: [(0, '7220.200')] -[2026-06-03 02:43:42,962][691100] Updated weights for policy 0, policy_version 34064 (0.0014) -[2026-06-03 02:43:44,709][690149] Fps is (10 sec: 13107.6, 60 sec: 14609.0, 300 sec: 14606.8). Total num frames: 17465344. Throughput: 0: 14552.2. Samples: 17491456. Policy #0 lag: (min: 15.0, avg: 19.8, max: 79.0) -[2026-06-03 02:43:44,710][690149] Avg episode reward: [(0, '7146.000')] -[2026-06-03 02:43:45,099][691100] Updated weights for policy 0, policy_version 34113 (0.0012) -[2026-06-03 02:43:45,211][691029] Signal inference workers to stop experience collection... (1600 times) -[2026-06-03 02:43:45,243][691100] InferenceWorker_p0-w0: stopping experience collection (1600 times) -[2026-06-03 02:43:45,338][691029] Signal inference workers to resume experience collection... (1600 times) -[2026-06-03 02:43:45,338][691100] InferenceWorker_p0-w0: resuming experience collection (1600 times) -[2026-06-03 02:43:47,442][691100] Updated weights for policy 0, policy_version 34192 (0.0014) -[2026-06-03 02:43:49,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14551.2). Total num frames: 17530880. Throughput: 0: 14586.3. Samples: 17533440. Policy #0 lag: (min: 9.0, avg: 14.2, max: 73.0) -[2026-06-03 02:43:49,709][690149] Avg episode reward: [(0, '7273.050')] -[2026-06-03 02:43:49,737][691100] Updated weights for policy 0, policy_version 34256 (0.0010) -[2026-06-03 02:43:52,091][691100] Updated weights for policy 0, policy_version 34336 (0.0012) -[2026-06-03 02:43:54,459][691100] Updated weights for policy 0, policy_version 34402 (0.0012) -[2026-06-03 02:43:54,709][690149] Fps is (10 sec: 15564.7, 60 sec: 14609.1, 300 sec: 14634.5). Total num frames: 17620992. Throughput: 0: 14609.1. Samples: 17621504. Policy #0 lag: (min: 9.0, avg: 14.2, max: 73.0) -[2026-06-03 02:43:54,710][690149] Avg episode reward: [(0, '7272.050')] -[2026-06-03 02:43:56,511][691100] Updated weights for policy 0, policy_version 34450 (0.0010) -[2026-06-03 02:43:58,774][691100] Updated weights for policy 0, policy_version 34514 (0.0013) -[2026-06-03 02:43:59,709][690149] Fps is (10 sec: 16383.9, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 17694720. Throughput: 0: 14574.9. Samples: 17708544. Policy #0 lag: (min: 9.0, avg: 14.2, max: 73.0) -[2026-06-03 02:43:59,710][690149] Avg episode reward: [(0, '7272.650')] -[2026-06-03 02:44:00,958][691100] Updated weights for policy 0, policy_version 34576 (0.0011) -[2026-06-03 02:44:03,097][691100] Updated weights for policy 0, policy_version 34626 (0.0011) -[2026-06-03 02:44:04,709][690149] Fps is (10 sec: 13926.5, 60 sec: 14745.6, 300 sec: 14551.2). Total num frames: 17760256. Throughput: 0: 14597.7. Samples: 17754112. Policy #0 lag: (min: 9.0, avg: 14.2, max: 73.0) -[2026-06-03 02:44:04,709][690149] Avg episode reward: [(0, '7563.800')] -[2026-06-03 02:44:04,712][691029] Saving new best policy, reward=7563.800! -[2026-06-03 02:44:05,303][691100] Updated weights for policy 0, policy_version 34704 (0.0011) -[2026-06-03 02:44:07,698][691100] Updated weights for policy 0, policy_version 34784 (0.0014) -[2026-06-03 02:44:09,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14336.0, 300 sec: 14551.2). Total num frames: 17825792. Throughput: 0: 14620.5. Samples: 17840640. Policy #0 lag: (min: 9.0, avg: 14.2, max: 73.0) -[2026-06-03 02:44:09,710][690149] Avg episode reward: [(0, '7686.100')] -[2026-06-03 02:44:09,715][691029] Saving new best policy, reward=7686.100! -[2026-06-03 02:44:10,123][691100] Updated weights for policy 0, policy_version 34850 (0.0014) -[2026-06-03 02:44:12,455][691100] Updated weights for policy 0, policy_version 34914 (0.0014) -[2026-06-03 02:44:14,646][691100] Updated weights for policy 0, policy_version 34976 (0.0011) -[2026-06-03 02:44:14,709][690149] Fps is (10 sec: 14745.5, 60 sec: 14472.5, 300 sec: 14606.7). Total num frames: 17907712. Throughput: 0: 14540.8. Samples: 17926144. Policy #0 lag: (min: 2.0, avg: 5.6, max: 66.0) -[2026-06-03 02:44:14,710][690149] Avg episode reward: [(0, '7668.100')] -[2026-06-03 02:44:16,877][691100] Updated weights for policy 0, policy_version 35040 (0.0012) -[2026-06-03 02:44:19,196][691100] Updated weights for policy 0, policy_version 35104 (0.0015) -[2026-06-03 02:44:19,709][690149] Fps is (10 sec: 16384.1, 60 sec: 14745.6, 300 sec: 14606.8). Total num frames: 17989632. Throughput: 0: 14495.4. Samples: 17968640. Policy #0 lag: (min: 2.0, avg: 5.6, max: 66.0) -[2026-06-03 02:44:19,709][690149] Avg episode reward: [(0, '7500.900')] -[2026-06-03 02:44:21,516][691100] Updated weights for policy 0, policy_version 35170 (0.0012) -[2026-06-03 02:44:23,272][691029] Signal inference workers to stop experience collection... (1650 times) -[2026-06-03 02:44:23,301][691100] InferenceWorker_p0-w0: stopping experience collection (1650 times) -[2026-06-03 02:44:23,410][691029] Signal inference workers to resume experience collection... (1650 times) -[2026-06-03 02:44:23,411][691100] InferenceWorker_p0-w0: resuming experience collection (1650 times) -[2026-06-03 02:44:23,735][691100] Updated weights for policy 0, policy_version 35254 (0.0013) -[2026-06-03 02:44:24,709][690149] Fps is (10 sec: 14745.6, 60 sec: 14745.6, 300 sec: 14551.2). Total num frames: 18055168. Throughput: 0: 14563.6. Samples: 18057728. Policy #0 lag: (min: 2.0, avg: 5.6, max: 66.0) -[2026-06-03 02:44:24,710][690149] Avg episode reward: [(0, '7375.350')] -[2026-06-03 02:44:25,783][691100] Updated weights for policy 0, policy_version 35314 (0.0013) -[2026-06-03 02:44:28,008][691100] Updated weights for policy 0, policy_version 35387 (0.0014) -[2026-06-03 02:44:29,709][690149] Fps is (10 sec: 13107.3, 60 sec: 14336.0, 300 sec: 14551.2). Total num frames: 18120704. Throughput: 0: 14722.9. Samples: 18153984. Policy #0 lag: (min: 2.0, avg: 5.6, max: 66.0) -[2026-06-03 02:44:29,709][690149] Avg episode reward: [(0, '7250.300')] -[2026-06-03 02:44:30,190][691100] Updated weights for policy 0, policy_version 35452 (0.0010) -[2026-06-03 02:44:32,528][691100] Updated weights for policy 0, policy_version 35517 (0.0012) -[2026-06-03 02:44:34,709][690149] Fps is (10 sec: 15564.8, 60 sec: 14609.1, 300 sec: 14634.5). Total num frames: 18210816. Throughput: 0: 14666.0. Samples: 18193408. Policy #0 lag: (min: 4.0, avg: 9.2, max: 68.0) -[2026-06-03 02:44:34,710][690149] Avg episode reward: [(0, '7216.550')] -[2026-06-03 02:44:34,726][691100] Updated weights for policy 0, policy_version 35579 (0.0011) -[2026-06-03 02:44:36,772][691100] Updated weights for policy 0, policy_version 35634 (0.0012) -[2026-06-03 02:44:39,075][691100] Updated weights for policy 0, policy_version 35696 (0.0012) -[2026-06-03 02:44:39,709][690149] Fps is (10 sec: 16383.7, 60 sec: 14745.6, 300 sec: 14606.7). Total num frames: 18284544. Throughput: 0: 14745.6. Samples: 18285056. Policy #0 lag: (min: 4.0, avg: 9.2, max: 68.0) -[2026-06-03 02:44:39,710][690149] Avg episode reward: [(0, '7315.400')] -[2026-06-03 02:44:41,403][691100] Updated weights for policy 0, policy_version 35762 (0.0015) -[2026-06-03 02:44:43,420][691100] Updated weights for policy 0, policy_version 35824 (0.0012) -[2026-06-03 02:44:44,709][690149] Fps is (10 sec: 13926.2, 60 sec: 14745.6, 300 sec: 14551.2). Total num frames: 18350080. Throughput: 0: 14779.7. Samples: 18373632. Policy #0 lag: (min: 4.0, avg: 9.2, max: 68.0) -[2026-06-03 02:44:44,710][690149] Avg episode reward: [(0, '7317.500')] -[2026-06-03 02:44:45,568][691100] Updated weights for policy 0, policy_version 35874 (0.0011) -[2026-06-03 02:44:48,099][691100] Updated weights for policy 0, policy_version 35956 (0.0009) -[2026-06-03 02:44:49,709][690149] Fps is (10 sec: 13107.3, 60 sec: 14745.6, 300 sec: 14551.2). Total num frames: 18415616. Throughput: 0: 14722.8. Samples: 18416640. Policy #0 lag: (min: 4.0, avg: 9.2, max: 68.0) -[2026-06-03 02:44:49,710][690149] Avg episode reward: [(0, '7227.300')] -[2026-06-03 02:44:50,328][691100] Updated weights for policy 0, policy_version 36021 (0.0011) -[2026-06-03 02:44:52,520][691100] Updated weights for policy 0, policy_version 36081 (0.0013) -[2026-06-03 02:44:54,676][691100] Updated weights for policy 0, policy_version 36144 (0.0011) -[2026-06-03 02:44:54,709][690149] Fps is (10 sec: 15564.9, 60 sec: 14745.6, 300 sec: 14634.5). Total num frames: 18505728. Throughput: 0: 14711.5. Samples: 18502656. Policy #0 lag: (min: 4.0, avg: 9.2, max: 68.0) -[2026-06-03 02:44:54,710][690149] Avg episode reward: [(0, '7469.150')] -[2026-06-03 02:44:56,955][691100] Updated weights for policy 0, policy_version 36211 (0.0013) -[2026-06-03 02:44:59,031][691029] Signal inference workers to stop experience collection... (1700 times) -[2026-06-03 02:44:59,063][691100] InferenceWorker_p0-w0: stopping experience collection (1700 times) -[2026-06-03 02:44:59,150][691029] Signal inference workers to resume experience collection... (1700 times) -[2026-06-03 02:44:59,151][691100] InferenceWorker_p0-w0: resuming experience collection (1700 times) -[2026-06-03 02:44:59,243][691100] Updated weights for policy 0, policy_version 36279 (0.0014) -[2026-06-03 02:44:59,709][690149] Fps is (10 sec: 16383.9, 60 sec: 14745.6, 300 sec: 14606.8). Total num frames: 18579456. Throughput: 0: 14768.3. Samples: 18590720. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:44:59,710][690149] Avg episode reward: [(0, '7573.950')] -[2026-06-03 02:45:01,458][691100] Updated weights for policy 0, policy_version 36337 (0.0012) -[2026-06-03 02:45:03,708][691100] Updated weights for policy 0, policy_version 36407 (0.0013) -[2026-06-03 02:45:04,709][690149] Fps is (10 sec: 13926.2, 60 sec: 14745.5, 300 sec: 14551.2). Total num frames: 18644992. Throughput: 0: 14825.2. Samples: 18635776. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:45:04,710][690149] Avg episode reward: [(0, '7837.050')] -[2026-06-03 02:45:04,716][691029] Saving new best policy, reward=7837.050! -[2026-06-03 02:45:05,989][691100] Updated weights for policy 0, policy_version 36480 (0.0012) -[2026-06-03 02:45:08,268][691100] Updated weights for policy 0, policy_version 36544 (0.0011) -[2026-06-03 02:45:09,709][690149] Fps is (10 sec: 13107.1, 60 sec: 14745.6, 300 sec: 14551.2). Total num frames: 18710528. Throughput: 0: 14779.7. Samples: 18722816. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:45:09,710][690149] Avg episode reward: [(0, '8239.250')] -[2026-06-03 02:45:09,715][691029] Saving new best policy, reward=8239.250! -[2026-06-03 02:45:10,532][691100] Updated weights for policy 0, policy_version 36607 (0.0009) -[2026-06-03 02:45:12,678][691100] Updated weights for policy 0, policy_version 36672 (0.0012) -[2026-06-03 02:45:14,709][690149] Fps is (10 sec: 15565.1, 60 sec: 14882.1, 300 sec: 14634.5). Total num frames: 18800640. Throughput: 0: 14631.8. Samples: 18812416. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:45:14,710][690149] Avg episode reward: [(0, '8147.800')] -[2026-06-03 02:45:16,729][691100] Updated weights for policy 0, policy_version 36754 (0.0010) -[2026-06-03 02:45:19,082][691100] Updated weights for policy 0, policy_version 36819 (0.0011) -[2026-06-03 02:45:19,709][690149] Fps is (10 sec: 16384.1, 60 sec: 14745.6, 300 sec: 14551.2). Total num frames: 18874368. Throughput: 0: 14711.4. Samples: 18855424. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:45:19,712][690149] Avg episode reward: [(0, '8202.650')] -[2026-06-03 02:45:21,313][691100] Updated weights for policy 0, policy_version 36880 (0.0012) -[2026-06-03 02:45:23,565][691100] Updated weights for policy 0, policy_version 36945 (0.0010) -[2026-06-03 02:45:24,709][690149] Fps is (10 sec: 13926.2, 60 sec: 14745.6, 300 sec: 14551.2). Total num frames: 18939904. Throughput: 0: 14597.7. Samples: 18941952. Policy #0 lag: (min: 3.0, avg: 8.1, max: 67.0) -[2026-06-03 02:45:24,710][690149] Avg episode reward: [(0, '8137.450')] -[2026-06-03 02:45:25,758][691100] Updated weights for policy 0, policy_version 37010 (0.0011) -[2026-06-03 02:45:28,031][691100] Updated weights for policy 0, policy_version 37090 (0.0010) -[2026-06-03 02:45:29,709][690149] Fps is (10 sec: 13107.4, 60 sec: 14745.6, 300 sec: 14551.2). Total num frames: 19005440. Throughput: 0: 14700.1. Samples: 19035136. Policy #0 lag: (min: 3.0, avg: 8.1, max: 67.0) -[2026-06-03 02:45:29,709][690149] Avg episode reward: [(0, '7791.000')] -[2026-06-03 02:45:29,985][691100] Updated weights for policy 0, policy_version 37138 (0.0011) -[2026-06-03 02:45:32,321][691100] Updated weights for policy 0, policy_version 37218 (0.0010) -[2026-06-03 02:45:34,676][691100] Updated weights for policy 0, policy_version 37296 (0.0012) -[2026-06-03 02:45:34,709][690149] Fps is (10 sec: 15565.0, 60 sec: 14745.6, 300 sec: 14634.5). Total num frames: 19095552. Throughput: 0: 14700.1. Samples: 19078144. Policy #0 lag: (min: 3.0, avg: 8.1, max: 67.0) -[2026-06-03 02:45:34,710][690149] Avg episode reward: [(0, '7906.100')] -[2026-06-03 02:45:36,658][691029] Signal inference workers to stop experience collection... (1750 times) -[2026-06-03 02:45:36,690][691100] InferenceWorker_p0-w0: stopping experience collection (1750 times) -[2026-06-03 02:45:36,761][691029] Signal inference workers to resume experience collection... (1750 times) -[2026-06-03 02:45:36,761][691100] InferenceWorker_p0-w0: resuming experience collection (1750 times) -[2026-06-03 02:45:36,906][691100] Updated weights for policy 0, policy_version 37360 (0.0014) -[2026-06-03 02:45:39,261][691100] Updated weights for policy 0, policy_version 37432 (0.0013) -[2026-06-03 02:45:39,709][690149] Fps is (10 sec: 16383.0, 60 sec: 14745.5, 300 sec: 14662.3). Total num frames: 19169280. Throughput: 0: 14779.6. Samples: 19167744. Policy #0 lag: (min: 3.0, avg: 8.1, max: 67.0) -[2026-06-03 02:45:39,710][690149] Avg episode reward: [(0, '8108.250')] -[2026-06-03 02:45:41,415][691100] Updated weights for policy 0, policy_version 37495 (0.0012) -[2026-06-03 02:45:43,735][691100] Updated weights for policy 0, policy_version 37557 (0.0010) -[2026-06-03 02:45:44,709][690149] Fps is (10 sec: 13926.3, 60 sec: 14745.6, 300 sec: 14551.2). Total num frames: 19234816. Throughput: 0: 14745.6. Samples: 19254272. Policy #0 lag: (min: 3.0, avg: 8.1, max: 67.0) -[2026-06-03 02:45:44,710][690149] Avg episode reward: [(0, '8040.000')] -[2026-06-03 02:45:46,107][691100] Updated weights for policy 0, policy_version 37630 (0.0012) -[2026-06-03 02:45:48,376][691100] Updated weights for policy 0, policy_version 37695 (0.0012) -[2026-06-03 02:45:49,709][690149] Fps is (10 sec: 13107.3, 60 sec: 14745.5, 300 sec: 14551.2). Total num frames: 19300352. Throughput: 0: 14700.0. Samples: 19297280. Policy #0 lag: (min: 3.0, avg: 8.3, max: 67.0) -[2026-06-03 02:45:49,710][690149] Avg episode reward: [(0, '8362.850')] -[2026-06-03 02:45:49,719][691029] Saving new best policy, reward=8362.850! -[2026-06-03 02:45:50,511][691100] Updated weights for policy 0, policy_version 37751 (0.0014) -[2026-06-03 02:45:52,434][691100] Updated weights for policy 0, policy_version 37810 (0.0013) -[2026-06-03 02:45:54,709][690149] Fps is (10 sec: 15565.0, 60 sec: 14745.6, 300 sec: 14634.5). Total num frames: 19390464. Throughput: 0: 14813.9. Samples: 19389440. Policy #0 lag: (min: 3.0, avg: 8.3, max: 67.0) -[2026-06-03 02:45:54,709][690149] Avg episode reward: [(0, '8246.450')] -[2026-06-03 02:45:54,712][691100] Updated weights for policy 0, policy_version 37881 (0.0013) -[2026-06-03 02:45:56,780][691100] Updated weights for policy 0, policy_version 37941 (0.0012) -[2026-06-03 02:45:59,051][691100] Updated weights for policy 0, policy_version 38016 (0.0012) -[2026-06-03 02:45:59,709][690149] Fps is (10 sec: 16384.7, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 19464192. Throughput: 0: 14791.1. Samples: 19478016. Policy #0 lag: (min: 3.0, avg: 8.3, max: 67.0) -[2026-06-03 02:45:59,710][690149] Avg episode reward: [(0, '8045.050')] -[2026-06-03 02:46:01,353][691100] Updated weights for policy 0, policy_version 38080 (0.0012) -[2026-06-03 02:46:03,509][691100] Updated weights for policy 0, policy_version 38138 (0.0013) -[2026-06-03 02:46:04,709][690149] Fps is (10 sec: 13926.2, 60 sec: 14745.6, 300 sec: 14606.7). Total num frames: 19529728. Throughput: 0: 14859.4. Samples: 19524096. Policy #0 lag: (min: 3.0, avg: 8.3, max: 67.0) -[2026-06-03 02:46:04,711][690149] Avg episode reward: [(0, '8087.100')] -[2026-06-03 02:46:05,693][691100] Updated weights for policy 0, policy_version 38203 (0.0013) -[2026-06-03 02:46:07,883][691100] Updated weights for policy 0, policy_version 38267 (0.0013) -[2026-06-03 02:46:09,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 14551.2). Total num frames: 19595264. Throughput: 0: 14916.3. Samples: 19613184. Policy #0 lag: (min: 3.0, avg: 8.3, max: 67.0) -[2026-06-03 02:46:09,710][690149] Avg episode reward: [(0, '8265.050')] -[2026-06-03 02:46:10,224][691100] Updated weights for policy 0, policy_version 38332 (0.0012) -[2026-06-03 02:46:12,404][691100] Updated weights for policy 0, policy_version 38392 (0.0011) -[2026-06-03 02:46:14,139][691029] Signal inference workers to stop experience collection... (1800 times) -[2026-06-03 02:46:14,187][691100] InferenceWorker_p0-w0: stopping experience collection (1800 times) -[2026-06-03 02:46:14,283][691029] Signal inference workers to resume experience collection... (1800 times) -[2026-06-03 02:46:14,284][691100] InferenceWorker_p0-w0: resuming experience collection (1800 times) -[2026-06-03 02:46:14,582][691100] Updated weights for policy 0, policy_version 38451 (0.0014) -[2026-06-03 02:46:14,709][690149] Fps is (10 sec: 16384.2, 60 sec: 14882.1, 300 sec: 14662.3). Total num frames: 19693568. Throughput: 0: 14745.6. Samples: 19698688. Policy #0 lag: (min: 40.0, avg: 44.0, max: 104.0) -[2026-06-03 02:46:14,710][690149] Avg episode reward: [(0, '8552.350')] -[2026-06-03 02:46:14,715][691029] Saving new best policy, reward=8552.350! -[2026-06-03 02:46:16,695][691100] Updated weights for policy 0, policy_version 38518 (0.0011) -[2026-06-03 02:46:18,886][691100] Updated weights for policy 0, policy_version 38582 (0.0013) -[2026-06-03 02:46:19,709][690149] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 19759104. Throughput: 0: 14848.0. Samples: 19746304. Policy #0 lag: (min: 40.0, avg: 44.0, max: 104.0) -[2026-06-03 02:46:19,709][690149] Avg episode reward: [(0, '8564.450')] -[2026-06-03 02:46:19,714][691029] Saving new best policy, reward=8564.450! -[2026-06-03 02:46:21,126][691100] Updated weights for policy 0, policy_version 38643 (0.0014) -[2026-06-03 02:46:23,420][691100] Updated weights for policy 0, policy_version 38707 (0.0015) -[2026-06-03 02:46:24,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 14634.5). Total num frames: 19824640. Throughput: 0: 14768.5. Samples: 19832320. Policy #0 lag: (min: 40.0, avg: 44.0, max: 104.0) -[2026-06-03 02:46:24,710][690149] Avg episode reward: [(0, '8493.600')] -[2026-06-03 02:46:25,721][691100] Updated weights for policy 0, policy_version 38773 (0.0013) -[2026-06-03 02:46:27,935][691100] Updated weights for policy 0, policy_version 38838 (0.0011) -[2026-06-03 02:46:29,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 14579.0). Total num frames: 19890176. Throughput: 0: 14859.4. Samples: 19922944. Policy #0 lag: (min: 40.0, avg: 44.0, max: 104.0) -[2026-06-03 02:46:29,710][690149] Avg episode reward: [(0, '8372.950')] -[2026-06-03 02:46:30,161][691100] Updated weights for policy 0, policy_version 38907 (0.0011) -[2026-06-03 02:46:32,382][691100] Updated weights for policy 0, policy_version 38976 (0.0011) -[2026-06-03 02:46:34,709][690149] Fps is (10 sec: 16383.8, 60 sec: 14882.1, 300 sec: 14662.3). Total num frames: 19988480. Throughput: 0: 14836.7. Samples: 19964928. Policy #0 lag: (min: 40.0, avg: 44.0, max: 104.0) -[2026-06-03 02:46:34,710][690149] Avg episode reward: [(0, '8224.950')] -[2026-06-03 02:46:36,314][691100] Updated weights for policy 0, policy_version 39043 (0.0011) -[2026-06-03 02:46:36,871][691100] Updated weights for policy 0, policy_version 39104 (0.0010) -[2026-06-03 02:46:39,184][691100] Updated weights for policy 0, policy_version 39168 (0.0011) -[2026-06-03 02:46:39,709][690149] Fps is (10 sec: 16384.1, 60 sec: 14745.7, 300 sec: 14662.3). Total num frames: 20054016. Throughput: 0: 14791.1. Samples: 20055040. Policy #0 lag: (min: 10.0, avg: 15.1, max: 74.0) -[2026-06-03 02:46:39,710][690149] Avg episode reward: [(0, '8028.300')] -[2026-06-03 02:46:41,509][691100] Updated weights for policy 0, policy_version 39228 (0.0011) -[2026-06-03 02:46:43,734][691100] Updated weights for policy 0, policy_version 39296 (0.0011) -[2026-06-03 02:46:44,709][690149] Fps is (10 sec: 13107.5, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 20119552. Throughput: 0: 14734.3. Samples: 20141056. Policy #0 lag: (min: 10.0, avg: 15.1, max: 74.0) -[2026-06-03 02:46:44,710][690149] Avg episode reward: [(0, '8095.250')] -[2026-06-03 02:46:45,917][691100] Updated weights for policy 0, policy_version 39360 (0.0012) -[2026-06-03 02:46:47,994][691100] Updated weights for policy 0, policy_version 39422 (0.0009) -[2026-06-03 02:46:49,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14745.7, 300 sec: 14634.5). Total num frames: 20185088. Throughput: 0: 14734.3. Samples: 20187136. Policy #0 lag: (min: 10.0, avg: 15.1, max: 74.0) -[2026-06-03 02:46:49,710][690149] Avg episode reward: [(0, '8118.850')] -[2026-06-03 02:46:49,852][691029] Signal inference workers to stop experience collection... (1850 times) -[2026-06-03 02:46:49,885][691100] InferenceWorker_p0-w0: stopping experience collection (1850 times) -[2026-06-03 02:46:49,962][691029] Signal inference workers to resume experience collection... (1850 times) -[2026-06-03 02:46:49,963][691100] InferenceWorker_p0-w0: resuming experience collection (1850 times) -[2026-06-03 02:46:50,100][691100] Updated weights for policy 0, policy_version 39484 (0.0012) -[2026-06-03 02:46:52,364][691100] Updated weights for policy 0, policy_version 39549 (0.0010) -[2026-06-03 02:46:54,709][690149] Fps is (10 sec: 16383.8, 60 sec: 14882.1, 300 sec: 14690.1). Total num frames: 20283392. Throughput: 0: 14757.0. Samples: 20277248. Policy #0 lag: (min: 10.0, avg: 15.1, max: 74.0) -[2026-06-03 02:46:54,711][690149] Avg episode reward: [(0, '7956.950')] -[2026-06-03 02:46:56,399][691100] Updated weights for policy 0, policy_version 39618 (0.0008) -[2026-06-03 02:46:58,598][691100] Updated weights for policy 0, policy_version 39699 (0.0010) -[2026-06-03 02:46:59,709][690149] Fps is (10 sec: 16383.8, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 20348928. Throughput: 0: 14825.2. Samples: 20365824. Policy #0 lag: (min: 10.0, avg: 15.1, max: 74.0) -[2026-06-03 02:46:59,711][690149] Avg episode reward: [(0, '8127.100')] -[2026-06-03 02:47:01,059][691100] Updated weights for policy 0, policy_version 39761 (0.0011) -[2026-06-03 02:47:03,267][691100] Updated weights for policy 0, policy_version 39828 (0.0011) -[2026-06-03 02:47:04,709][690149] Fps is (10 sec: 13106.7, 60 sec: 14745.5, 300 sec: 14662.3). Total num frames: 20414464. Throughput: 0: 14711.3. Samples: 20408320. Policy #0 lag: (min: 10.0, avg: 15.1, max: 74.0) -[2026-06-03 02:47:04,710][690149] Avg episode reward: [(0, '8205.300')] -[2026-06-03 02:47:05,586][691100] Updated weights for policy 0, policy_version 39907 (0.0011) -[2026-06-03 02:47:07,679][691100] Updated weights for policy 0, policy_version 39968 (0.0010) -[2026-06-03 02:47:09,709][690149] Fps is (10 sec: 13107.3, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 20480000. Throughput: 0: 14768.4. Samples: 20496896. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:47:09,710][690149] Avg episode reward: [(0, '8220.500')] -[2026-06-03 02:47:09,833][691100] Updated weights for policy 0, policy_version 40018 (0.0012) -[2026-06-03 02:47:12,082][691100] Updated weights for policy 0, policy_version 40083 (0.0011) -[2026-06-03 02:47:14,443][691100] Updated weights for policy 0, policy_version 40160 (0.0014) -[2026-06-03 02:47:14,709][690149] Fps is (10 sec: 15565.3, 60 sec: 14609.0, 300 sec: 14745.6). Total num frames: 20570112. Throughput: 0: 14677.3. Samples: 20583424. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:47:14,710][690149] Avg episode reward: [(0, '8371.300')] -[2026-06-03 02:47:16,595][691100] Updated weights for policy 0, policy_version 40211 (0.0009) -[2026-06-03 02:47:19,026][691100] Updated weights for policy 0, policy_version 40288 (0.0015) -[2026-06-03 02:47:19,709][690149] Fps is (10 sec: 16383.8, 60 sec: 14745.6, 300 sec: 14690.1). Total num frames: 20643840. Throughput: 0: 14734.2. Samples: 20627968. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:47:19,710][690149] Avg episode reward: [(0, '8243.850')] -[2026-06-03 02:47:21,252][691100] Updated weights for policy 0, policy_version 40337 (0.0012) -[2026-06-03 02:47:23,354][691100] Updated weights for policy 0, policy_version 40402 (0.0011) -[2026-06-03 02:47:24,709][690149] Fps is (10 sec: 13926.4, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 20709376. Throughput: 0: 14631.8. Samples: 20713472. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:47:24,710][690149] Avg episode reward: [(0, '8293.300')] -[2026-06-03 02:47:25,701][691100] Updated weights for policy 0, policy_version 40480 (0.0012) -[2026-06-03 02:47:27,747][691029] Signal inference workers to stop experience collection... (1900 times) -[2026-06-03 02:47:27,779][691100] InferenceWorker_p0-w0: stopping experience collection (1900 times) -[2026-06-03 02:47:27,800][691100] Updated weights for policy 0, policy_version 40530 (0.0013) -[2026-06-03 02:47:27,881][691029] Signal inference workers to resume experience collection... (1900 times) -[2026-06-03 02:47:27,882][691100] InferenceWorker_p0-w0: resuming experience collection (1900 times) -[2026-06-03 02:47:29,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 20774912. Throughput: 0: 14700.0. Samples: 20802560. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:47:29,710][690149] Avg episode reward: [(0, '8379.050')] -[2026-06-03 02:47:30,255][691100] Updated weights for policy 0, policy_version 40608 (0.0012) -[2026-06-03 02:47:32,524][691100] Updated weights for policy 0, policy_version 40672 (0.0012) -[2026-06-03 02:47:34,709][690149] Fps is (10 sec: 13926.3, 60 sec: 14336.0, 300 sec: 14690.1). Total num frames: 20848640. Throughput: 0: 14586.2. Samples: 20843520. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-03 02:47:34,711][690149] Avg episode reward: [(0, '8553.250')] -[2026-06-03 02:47:34,749][691100] Updated weights for policy 0, policy_version 40736 (0.0014) -[2026-06-03 02:47:36,983][691100] Updated weights for policy 0, policy_version 40786 (0.0009) -[2026-06-03 02:47:39,177][691100] Updated weights for policy 0, policy_version 40848 (0.0011) -[2026-06-03 02:47:39,709][690149] Fps is (10 sec: 16384.1, 60 sec: 14745.6, 300 sec: 14745.6). Total num frames: 20938752. Throughput: 0: 14563.5. Samples: 20932608. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-03 02:47:39,710][690149] Avg episode reward: [(0, '8464.850')] -[2026-06-03 02:47:41,605][691100] Updated weights for policy 0, policy_version 40912 (0.0010) -[2026-06-03 02:47:43,864][691100] Updated weights for policy 0, policy_version 40976 (0.0014) -[2026-06-03 02:47:44,709][690149] Fps is (10 sec: 15565.0, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 21004288. Throughput: 0: 14427.0. Samples: 21015040. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-03 02:47:44,710][690149] Avg episode reward: [(0, '8570.950')] -[2026-06-03 02:47:44,714][691029] Saving new best policy, reward=8570.950! -[2026-06-03 02:47:46,072][691100] Updated weights for policy 0, policy_version 41025 (0.0012) -[2026-06-03 02:47:48,548][691100] Updated weights for policy 0, policy_version 41107 (0.0012) -[2026-06-03 02:47:49,709][690149] Fps is (10 sec: 13107.3, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 21069824. Throughput: 0: 14449.9. Samples: 21058560. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-03 02:47:49,709][690149] Avg episode reward: [(0, '8590.900')] -[2026-06-03 02:47:49,714][691029] Saving new best policy, reward=8590.900! -[2026-06-03 02:47:50,629][691100] Updated weights for policy 0, policy_version 41154 (0.0010) -[2026-06-03 02:47:51,167][691100] Updated weights for policy 0, policy_version 41216 (0.0012) -[2026-06-03 02:47:53,346][691100] Updated weights for policy 0, policy_version 41280 (0.0011) -[2026-06-03 02:47:54,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14199.4, 300 sec: 14662.3). Total num frames: 21135360. Throughput: 0: 14438.4. Samples: 21146624. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-03 02:47:54,710][690149] Avg episode reward: [(0, '8548.400')] -[2026-06-03 02:47:55,519][691100] Updated weights for policy 0, policy_version 41341 (0.0011) -[2026-06-03 02:47:59,545][691100] Updated weights for policy 0, policy_version 41409 (0.0010) -[2026-06-03 02:47:59,709][690149] Fps is (10 sec: 13926.3, 60 sec: 14336.0, 300 sec: 14690.1). Total num frames: 21209088. Throughput: 0: 14472.5. Samples: 21234688. Policy #0 lag: (min: 4.0, avg: 9.1, max: 68.0) -[2026-06-03 02:47:59,710][690149] Avg episode reward: [(0, '8401.050')] -[2026-06-03 02:48:01,997][691100] Updated weights for policy 0, policy_version 41491 (0.0010) -[2026-06-03 02:48:04,138][691100] Updated weights for policy 0, policy_version 41538 (0.0014) -[2026-06-03 02:48:04,709][690149] Fps is (10 sec: 16384.1, 60 sec: 14745.7, 300 sec: 14690.1). Total num frames: 21299200. Throughput: 0: 14438.4. Samples: 21277696. Policy #0 lag: (min: 4.0, avg: 9.1, max: 68.0) -[2026-06-03 02:48:04,710][690149] Avg episode reward: [(0, '8556.800')] -[2026-06-03 02:48:06,332][691029] Signal inference workers to stop experience collection... (1950 times) -[2026-06-03 02:48:06,362][691100] InferenceWorker_p0-w0: stopping experience collection (1950 times) -[2026-06-03 02:48:06,460][691029] Signal inference workers to resume experience collection... (1950 times) -[2026-06-03 02:48:06,461][691100] InferenceWorker_p0-w0: resuming experience collection (1950 times) -[2026-06-03 02:48:06,463][691100] Updated weights for policy 0, policy_version 41616 (0.0011) -[2026-06-03 02:48:08,757][691100] Updated weights for policy 0, policy_version 41696 (0.0013) -[2026-06-03 02:48:09,709][690149] Fps is (10 sec: 15565.0, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 21364736. Throughput: 0: 14495.3. Samples: 21365760. Policy #0 lag: (min: 4.0, avg: 9.1, max: 68.0) -[2026-06-03 02:48:09,710][690149] Avg episode reward: [(0, '8596.200')] -[2026-06-03 02:48:09,713][691029] Saving new best policy, reward=8596.200! -[2026-06-03 02:48:11,161][691100] Updated weights for policy 0, policy_version 41776 (0.0012) -[2026-06-03 02:48:13,430][691100] Updated weights for policy 0, policy_version 41826 (0.0013) -[2026-06-03 02:48:14,709][690149] Fps is (10 sec: 13107.0, 60 sec: 14336.0, 300 sec: 14662.3). Total num frames: 21430272. Throughput: 0: 14427.0. Samples: 21451776. Policy #0 lag: (min: 4.0, avg: 9.1, max: 68.0) -[2026-06-03 02:48:14,711][690149] Avg episode reward: [(0, '8691.050')] -[2026-06-03 02:48:14,716][691029] Saving new best policy, reward=8691.050! -[2026-06-03 02:48:15,729][691100] Updated weights for policy 0, policy_version 41891 (0.0014) -[2026-06-03 02:48:18,091][691100] Updated weights for policy 0, policy_version 41969 (0.0012) -[2026-06-03 02:48:19,709][690149] Fps is (10 sec: 13107.3, 60 sec: 14199.5, 300 sec: 14662.3). Total num frames: 21495808. Throughput: 0: 14472.6. Samples: 21494784. Policy #0 lag: (min: 4.0, avg: 9.1, max: 68.0) -[2026-06-03 02:48:19,710][690149] Avg episode reward: [(0, '8810.100')] -[2026-06-03 02:48:19,713][691029] Saving new best policy, reward=8810.100! -[2026-06-03 02:48:20,381][691100] Updated weights for policy 0, policy_version 42040 (0.0013) -[2026-06-03 02:48:22,755][691100] Updated weights for policy 0, policy_version 42111 (0.0016) -[2026-06-03 02:48:24,709][690149] Fps is (10 sec: 13926.7, 60 sec: 14336.0, 300 sec: 14606.8). Total num frames: 21569536. Throughput: 0: 14415.7. Samples: 21581312. Policy #0 lag: (min: 4.0, avg: 9.1, max: 68.0) -[2026-06-03 02:48:24,709][690149] Avg episode reward: [(0, '8922.000')] -[2026-06-03 02:48:24,869][691029] Saving new best policy, reward=8922.000! -[2026-06-03 02:48:25,058][691100] Updated weights for policy 0, policy_version 42174 (0.0013) -[2026-06-03 02:48:27,264][691100] Updated weights for policy 0, policy_version 42240 (0.0015) -[2026-06-03 02:48:29,709][690149] Fps is (10 sec: 16384.1, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 21659648. Throughput: 0: 14506.7. Samples: 21667840. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-03 02:48:29,709][690149] Avg episode reward: [(0, '9045.200')] -[2026-06-03 02:48:29,712][691029] Saving new best policy, reward=9045.200! -[2026-06-03 02:48:31,376][691100] Updated weights for policy 0, policy_version 42323 (0.0013) -[2026-06-03 02:48:33,670][691100] Updated weights for policy 0, policy_version 42402 (0.0010) -[2026-06-03 02:48:34,709][690149] Fps is (10 sec: 15564.9, 60 sec: 14609.1, 300 sec: 14662.3). Total num frames: 21725184. Throughput: 0: 14540.8. Samples: 21712896. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-03 02:48:34,709][690149] Avg episode reward: [(0, '8856.400')] -[2026-06-03 02:48:35,957][691100] Updated weights for policy 0, policy_version 42480 (0.0012) -[2026-06-03 02:48:38,106][691100] Updated weights for policy 0, policy_version 42531 (0.0013) -[2026-06-03 02:48:39,709][690149] Fps is (10 sec: 13107.1, 60 sec: 14199.5, 300 sec: 14662.3). Total num frames: 21790720. Throughput: 0: 14563.6. Samples: 21801984. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-03 02:48:39,710][690149] Avg episode reward: [(0, '9059.300')] -[2026-06-03 02:48:39,715][691029] Saving new best policy, reward=9059.300! -[2026-06-03 02:48:40,305][691100] Updated weights for policy 0, policy_version 42592 (0.0014) -[2026-06-03 02:48:42,481][691100] Updated weights for policy 0, policy_version 42656 (0.0016) -[2026-06-03 02:48:42,480][691029] Signal inference workers to stop experience collection... (2000 times) -[2026-06-03 02:48:42,510][691100] InferenceWorker_p0-w0: stopping experience collection (2000 times) -[2026-06-03 02:48:42,623][691029] Signal inference workers to resume experience collection... (2000 times) -[2026-06-03 02:48:42,624][691100] InferenceWorker_p0-w0: resuming experience collection (2000 times) -[2026-06-03 02:48:44,709][690149] Fps is (10 sec: 13926.3, 60 sec: 14336.0, 300 sec: 14690.1). Total num frames: 21864448. Throughput: 0: 14563.6. Samples: 21890048. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-03 02:48:44,710][690149] Avg episode reward: [(0, '9147.900')] -[2026-06-03 02:48:44,841][691100] Updated weights for policy 0, policy_version 42722 (0.0011) -[2026-06-03 02:48:44,922][691029] Saving new best policy, reward=9147.900! -[2026-06-03 02:48:47,241][691100] Updated weights for policy 0, policy_version 42805 (0.0011) -[2026-06-03 02:48:49,572][691100] Updated weights for policy 0, policy_version 42864 (0.0010) -[2026-06-03 02:48:49,709][690149] Fps is (10 sec: 15564.9, 60 sec: 14609.1, 300 sec: 14662.3). Total num frames: 21946368. Throughput: 0: 14529.4. Samples: 21931520. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-03 02:48:49,710][690149] Avg episode reward: [(0, '9143.250')] -[2026-06-03 02:48:51,830][691100] Updated weights for policy 0, policy_version 42933 (0.0010) -[2026-06-03 02:48:54,315][691100] Updated weights for policy 0, policy_version 42996 (0.0010) -[2026-06-03 02:48:54,709][690149] Fps is (10 sec: 15564.7, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 22020096. Throughput: 0: 14472.5. Samples: 22017024. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-03 02:48:54,710][690149] Avg episode reward: [(0, '9244.250')] -[2026-06-03 02:48:54,715][691029] Saving new best policy, reward=9244.250! -[2026-06-03 02:48:56,669][691100] Updated weights for policy 0, policy_version 43069 (0.0013) -[2026-06-03 02:48:58,919][691100] Updated weights for policy 0, policy_version 43136 (0.0013) -[2026-06-03 02:48:59,709][690149] Fps is (10 sec: 13926.3, 60 sec: 14609.1, 300 sec: 14662.3). Total num frames: 22085632. Throughput: 0: 14461.2. Samples: 22102528. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-03 02:48:59,710][690149] Avg episode reward: [(0, '9335.150')] -[2026-06-03 02:48:59,714][691029] Saving new best policy, reward=9335.150! -[2026-06-03 02:49:03,119][691100] Updated weights for policy 0, policy_version 43216 (0.0012) -[2026-06-03 02:49:04,709][690149] Fps is (10 sec: 13107.3, 60 sec: 14199.5, 300 sec: 14662.3). Total num frames: 22151168. Throughput: 0: 14461.1. Samples: 22145536. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-03 02:49:04,710][690149] Avg episode reward: [(0, '9460.050')] -[2026-06-03 02:49:04,716][691029] Saving new best policy, reward=9460.050! -[2026-06-03 02:49:05,425][691100] Updated weights for policy 0, policy_version 43280 (0.0013) -[2026-06-03 02:49:07,666][691100] Updated weights for policy 0, policy_version 43344 (0.0014) -[2026-06-03 02:49:09,709][690149] Fps is (10 sec: 13107.3, 60 sec: 14199.5, 300 sec: 14606.8). Total num frames: 22216704. Throughput: 0: 14438.4. Samples: 22231040. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-03 02:49:09,709][690149] Avg episode reward: [(0, '9468.100')] -[2026-06-03 02:49:09,713][691029] Saving new best policy, reward=9468.100! -[2026-06-03 02:49:09,945][691100] Updated weights for policy 0, policy_version 43395 (0.0012) -[2026-06-03 02:49:12,206][691100] Updated weights for policy 0, policy_version 43472 (0.0012) -[2026-06-03 02:49:14,511][691100] Updated weights for policy 0, policy_version 43536 (0.0010) -[2026-06-03 02:49:14,709][690149] Fps is (10 sec: 14745.7, 60 sec: 14472.6, 300 sec: 14606.8). Total num frames: 22298624. Throughput: 0: 14427.0. Samples: 22317056. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-03 02:49:14,709][690149] Avg episode reward: [(0, '9362.550')] -[2026-06-03 02:49:16,785][691100] Updated weights for policy 0, policy_version 43600 (0.0013) -[2026-06-03 02:49:19,076][691100] Updated weights for policy 0, policy_version 43664 (0.0011) -[2026-06-03 02:49:19,709][690149] Fps is (10 sec: 16383.5, 60 sec: 14745.5, 300 sec: 14662.3). Total num frames: 22380544. Throughput: 0: 14381.4. Samples: 22360064. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-03 02:49:19,710][690149] Avg episode reward: [(0, '9220.550')] -[2026-06-03 02:49:21,248][691029] Signal inference workers to stop experience collection... (2050 times) -[2026-06-03 02:49:21,251][691100] Updated weights for policy 0, policy_version 43728 (0.0012) -[2026-06-03 02:49:21,283][691100] InferenceWorker_p0-w0: stopping experience collection (2050 times) -[2026-06-03 02:49:21,360][691029] Signal inference workers to resume experience collection... (2050 times) -[2026-06-03 02:49:21,360][691100] InferenceWorker_p0-w0: resuming experience collection (2050 times) -[2026-06-03 02:49:23,457][691100] Updated weights for policy 0, policy_version 43792 (0.0011) -[2026-06-03 02:49:24,709][690149] Fps is (10 sec: 14745.4, 60 sec: 14609.0, 300 sec: 14662.3). Total num frames: 22446080. Throughput: 0: 14370.1. Samples: 22448640. Policy #0 lag: (min: 39.0, avg: 44.1, max: 103.0) -[2026-06-03 02:49:24,710][690149] Avg episode reward: [(0, '9135.100')] -[2026-06-03 02:49:25,839][691100] Updated weights for policy 0, policy_version 43872 (0.0012) -[2026-06-03 02:49:28,080][691100] Updated weights for policy 0, policy_version 43936 (0.0012) -[2026-06-03 02:49:29,709][690149] Fps is (10 sec: 13107.5, 60 sec: 14199.4, 300 sec: 14579.0). Total num frames: 22511616. Throughput: 0: 14427.0. Samples: 22539264. Policy #0 lag: (min: 39.0, avg: 44.1, max: 103.0) -[2026-06-03 02:49:29,710][690149] Avg episode reward: [(0, '8998.100')] -[2026-06-03 02:49:30,228][691100] Updated weights for policy 0, policy_version 44000 (0.0014) -[2026-06-03 02:49:32,564][691100] Updated weights for policy 0, policy_version 44064 (0.0013) -[2026-06-03 02:49:34,655][691100] Updated weights for policy 0, policy_version 44115 (0.0014) -[2026-06-03 02:49:34,709][690149] Fps is (10 sec: 13926.6, 60 sec: 14336.0, 300 sec: 14579.0). Total num frames: 22585344. Throughput: 0: 14427.0. Samples: 22580736. Policy #0 lag: (min: 39.0, avg: 44.1, max: 103.0) -[2026-06-03 02:49:34,710][690149] Avg episode reward: [(0, '9284.950')] -[2026-06-03 02:49:36,552][691100] Updated weights for policy 0, policy_version 44162 (0.0014) -[2026-06-03 02:49:38,760][691100] Updated weights for policy 0, policy_version 44226 (0.0010) -[2026-06-03 02:49:39,264][691100] Updated weights for policy 0, policy_version 44281 (0.0011) -[2026-06-03 02:49:39,709][690149] Fps is (10 sec: 16384.1, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 22675456. Throughput: 0: 14609.1. Samples: 22674432. Policy #0 lag: (min: 39.0, avg: 44.1, max: 103.0) -[2026-06-03 02:49:39,709][690149] Avg episode reward: [(0, '9409.450')] -[2026-06-03 02:49:41,447][691100] Updated weights for policy 0, policy_version 44351 (0.0011) -[2026-06-03 02:49:44,709][690149] Fps is (10 sec: 15564.8, 60 sec: 14609.1, 300 sec: 14662.3). Total num frames: 22740992. Throughput: 0: 14643.2. Samples: 22761472. Policy #0 lag: (min: 39.0, avg: 44.1, max: 103.0) -[2026-06-03 02:49:44,710][690149] Avg episode reward: [(0, '9605.900')] -[2026-06-03 02:49:44,714][691029] Saving new best policy, reward=9605.900! -[2026-06-03 02:49:45,556][691100] Updated weights for policy 0, policy_version 44432 (0.0014) -[2026-06-03 02:49:47,953][691100] Updated weights for policy 0, policy_version 44512 (0.0011) -[2026-06-03 02:49:49,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14336.0, 300 sec: 14579.0). Total num frames: 22806528. Throughput: 0: 14677.4. Samples: 22806016. Policy #0 lag: (min: 39.0, avg: 44.1, max: 103.0) -[2026-06-03 02:49:49,709][690149] Avg episode reward: [(0, '9454.100')] -[2026-06-03 02:49:50,345][691100] Updated weights for policy 0, policy_version 44592 (0.0015) -[2026-06-03 02:49:52,684][691100] Updated weights for policy 0, policy_version 44661 (0.0010) -[2026-06-03 02:49:54,709][690149] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14551.2). Total num frames: 22872064. Throughput: 0: 14643.2. Samples: 22889984. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) -[2026-06-03 02:49:54,709][690149] Avg episode reward: [(0, '9411.750')] -[2026-06-03 02:49:55,087][691100] Updated weights for policy 0, policy_version 44730 (0.0011) -[2026-06-03 02:49:57,217][691100] Updated weights for policy 0, policy_version 44791 (0.0011) -[2026-06-03 02:49:58,978][691029] Signal inference workers to stop experience collection... (2100 times) -[2026-06-03 02:49:59,006][691100] InferenceWorker_p0-w0: stopping experience collection (2100 times) -[2026-06-03 02:49:59,122][691029] Signal inference workers to resume experience collection... (2100 times) -[2026-06-03 02:49:59,123][691100] InferenceWorker_p0-w0: resuming experience collection (2100 times) -[2026-06-03 02:49:59,427][691100] Updated weights for policy 0, policy_version 44855 (0.0014) -[2026-06-03 02:49:59,709][690149] Fps is (10 sec: 16383.9, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 22970368. Throughput: 0: 14700.1. Samples: 22978560. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) -[2026-06-03 02:49:59,710][690149] Avg episode reward: [(0, '9493.100')] -[2026-06-03 02:50:01,609][691100] Updated weights for policy 0, policy_version 44923 (0.0014) -[2026-06-03 02:50:03,956][691100] Updated weights for policy 0, policy_version 44992 (0.0013) -[2026-06-03 02:50:04,709][690149] Fps is (10 sec: 16383.1, 60 sec: 14745.5, 300 sec: 14662.3). Total num frames: 23035904. Throughput: 0: 14756.9. Samples: 23024128. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) -[2026-06-03 02:50:04,711][690149] Avg episode reward: [(0, '9430.300')] -[2026-06-03 02:50:06,161][691100] Updated weights for policy 0, policy_version 45052 (0.0014) -[2026-06-03 02:50:08,373][691100] Updated weights for policy 0, policy_version 45115 (0.0009) -[2026-06-03 02:50:09,709][690149] Fps is (10 sec: 13107.0, 60 sec: 14745.6, 300 sec: 14579.0). Total num frames: 23101440. Throughput: 0: 14722.8. Samples: 23111168. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) -[2026-06-03 02:50:09,710][690149] Avg episode reward: [(0, '9439.900')] -[2026-06-03 02:50:10,675][691100] Updated weights for policy 0, policy_version 45181 (0.0014) -[2026-06-03 02:50:13,054][691100] Updated weights for policy 0, policy_version 45240 (0.0009) -[2026-06-03 02:50:14,709][690149] Fps is (10 sec: 13107.7, 60 sec: 14472.5, 300 sec: 14551.2). Total num frames: 23166976. Throughput: 0: 14688.7. Samples: 23200256. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) -[2026-06-03 02:50:14,710][690149] Avg episode reward: [(0, '9394.600')] -[2026-06-03 02:50:15,155][691100] Updated weights for policy 0, policy_version 45305 (0.0012) -[2026-06-03 02:50:17,471][691100] Updated weights for policy 0, policy_version 45374 (0.0012) -[2026-06-03 02:50:19,709][690149] Fps is (10 sec: 16383.7, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 23265280. Throughput: 0: 14654.5. Samples: 23240192. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:50:19,711][690149] Avg episode reward: [(0, '9558.100')] -[2026-06-03 02:50:21,666][691100] Updated weights for policy 0, policy_version 45456 (0.0013) -[2026-06-03 02:50:24,005][691100] Updated weights for policy 0, policy_version 45536 (0.0013) -[2026-06-03 02:50:24,709][690149] Fps is (10 sec: 16384.1, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 23330816. Throughput: 0: 14552.1. Samples: 23329280. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:50:24,710][690149] Avg episode reward: [(0, '9396.150')] -[2026-06-03 02:50:26,047][691100] Updated weights for policy 0, policy_version 45584 (0.0010) -[2026-06-03 02:50:28,138][691100] Updated weights for policy 0, policy_version 45634 (0.0014) -[2026-06-03 02:50:29,709][690149] Fps is (10 sec: 13107.6, 60 sec: 14745.6, 300 sec: 14579.0). Total num frames: 23396352. Throughput: 0: 14586.3. Samples: 23417856. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:50:29,710][690149] Avg episode reward: [(0, '9261.300')] -[2026-06-03 02:50:30,340][691100] Updated weights for policy 0, policy_version 45697 (0.0013) -[2026-06-03 02:50:32,650][691100] Updated weights for policy 0, policy_version 45765 (0.0009) -[2026-06-03 02:50:34,709][690149] Fps is (10 sec: 13107.3, 60 sec: 14609.0, 300 sec: 14551.2). Total num frames: 23461888. Throughput: 0: 14609.0. Samples: 23463424. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:50:34,710][690149] Avg episode reward: [(0, '9312.550')] -[2026-06-03 02:50:34,847][691100] Updated weights for policy 0, policy_version 45840 (0.0011) -[2026-06-03 02:50:34,998][691029] Signal inference workers to stop experience collection... (2150 times) -[2026-06-03 02:50:35,029][691100] InferenceWorker_p0-w0: stopping experience collection (2150 times) -[2026-06-03 02:50:35,137][691029] Signal inference workers to resume experience collection... (2150 times) -[2026-06-03 02:50:35,139][691100] InferenceWorker_p0-w0: resuming experience collection (2150 times) -[2026-06-03 02:50:37,324][691100] Updated weights for policy 0, policy_version 45920 (0.0014) -[2026-06-03 02:50:39,654][691100] Updated weights for policy 0, policy_version 45984 (0.0009) -[2026-06-03 02:50:39,709][690149] Fps is (10 sec: 14745.6, 60 sec: 14472.5, 300 sec: 14606.8). Total num frames: 23543808. Throughput: 0: 14631.8. Samples: 23548416. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:50:39,710][690149] Avg episode reward: [(0, '9453.550')] -[2026-06-03 02:50:41,905][691100] Updated weights for policy 0, policy_version 46050 (0.0013) -[2026-06-03 02:50:44,334][691100] Updated weights for policy 0, policy_version 46128 (0.0012) -[2026-06-03 02:50:44,709][690149] Fps is (10 sec: 16383.7, 60 sec: 14745.5, 300 sec: 14662.3). Total num frames: 23625728. Throughput: 0: 14540.7. Samples: 23632896. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-03 02:50:44,711][690149] Avg episode reward: [(0, '9511.150')] -[2026-06-03 02:50:46,624][691100] Updated weights for policy 0, policy_version 46192 (0.0012) -[2026-06-03 02:50:48,770][691100] Updated weights for policy 0, policy_version 46256 (0.0009) -[2026-06-03 02:50:49,709][690149] Fps is (10 sec: 14745.1, 60 sec: 14745.5, 300 sec: 14579.0). Total num frames: 23691264. Throughput: 0: 14552.2. Samples: 23678976. Policy #0 lag: (min: 15.0, avg: 20.8, max: 79.0) -[2026-06-03 02:50:49,711][690149] Avg episode reward: [(0, '9786.750')] -[2026-06-03 02:50:49,716][691029] Saving new best policy, reward=9786.750! -[2026-06-03 02:50:50,935][691100] Updated weights for policy 0, policy_version 46320 (0.0010) -[2026-06-03 02:50:53,167][691100] Updated weights for policy 0, policy_version 46389 (0.0011) -[2026-06-03 02:50:54,709][690149] Fps is (10 sec: 13107.3, 60 sec: 14745.6, 300 sec: 14551.2). Total num frames: 23756800. Throughput: 0: 14631.8. Samples: 23769600. Policy #0 lag: (min: 15.0, avg: 20.8, max: 79.0) -[2026-06-03 02:50:54,710][690149] Avg episode reward: [(0, '10066.700')] -[2026-06-03 02:50:54,715][691029] Saving new best policy, reward=10066.700! -[2026-06-03 02:50:55,230][691100] Updated weights for policy 0, policy_version 46448 (0.0012) -[2026-06-03 02:50:57,400][691100] Updated weights for policy 0, policy_version 46512 (0.0014) -[2026-06-03 02:50:59,675][691100] Updated weights for policy 0, policy_version 46576 (0.0011) -[2026-06-03 02:50:59,709][690149] Fps is (10 sec: 15565.4, 60 sec: 14609.1, 300 sec: 14634.5). Total num frames: 23846912. Throughput: 0: 14631.9. Samples: 23858688. Policy #0 lag: (min: 15.0, avg: 20.8, max: 79.0) -[2026-06-03 02:50:59,709][690149] Avg episode reward: [(0, '10451.550')] -[2026-06-03 02:50:59,847][691029] Saving new best policy, reward=10451.550! -[2026-06-03 02:51:02,008][691100] Updated weights for policy 0, policy_version 46642 (0.0015) -[2026-06-03 02:51:04,254][691100] Updated weights for policy 0, policy_version 46711 (0.0011) -[2026-06-03 02:51:04,709][690149] Fps is (10 sec: 16383.8, 60 sec: 14745.7, 300 sec: 14662.3). Total num frames: 23920640. Throughput: 0: 14700.1. Samples: 23901696. Policy #0 lag: (min: 15.0, avg: 20.8, max: 79.0) -[2026-06-03 02:51:04,710][690149] Avg episode reward: [(0, '10458.900')] -[2026-06-03 02:51:04,720][691029] Saving new best policy, reward=10458.900! -[2026-06-03 02:51:06,428][691100] Updated weights for policy 0, policy_version 46775 (0.0014) -[2026-06-03 02:51:08,671][691100] Updated weights for policy 0, policy_version 46835 (0.0012) -[2026-06-03 02:51:09,709][690149] Fps is (10 sec: 13926.4, 60 sec: 14745.6, 300 sec: 14551.2). Total num frames: 23986176. Throughput: 0: 14677.4. Samples: 23989760. Policy #0 lag: (min: 15.0, avg: 20.8, max: 79.0) -[2026-06-03 02:51:09,709][690149] Avg episode reward: [(0, '10424.650')] -[2026-06-03 02:51:10,869][691100] Updated weights for policy 0, policy_version 46896 (0.0012) -[2026-06-03 02:51:12,842][691029] Signal inference workers to stop experience collection... (2200 times) -[2026-06-03 02:51:12,876][691100] InferenceWorker_p0-w0: stopping experience collection (2200 times) -[2026-06-03 02:51:12,958][691029] Signal inference workers to resume experience collection... (2200 times) -[2026-06-03 02:51:12,959][691100] InferenceWorker_p0-w0: resuming experience collection (2200 times) -[2026-06-03 02:51:12,989][691100] Updated weights for policy 0, policy_version 46945 (0.0014) -[2026-06-03 02:51:14,709][690149] Fps is (10 sec: 13107.5, 60 sec: 14745.6, 300 sec: 14551.2). Total num frames: 24051712. Throughput: 0: 14711.5. Samples: 24079872. Policy #0 lag: (min: 15.0, avg: 20.8, max: 79.0) -[2026-06-03 02:51:14,709][690149] Avg episode reward: [(0, '10989.750')] -[2026-06-03 02:51:14,713][691029] Saving new best policy, reward=10989.750! -[2026-06-03 02:51:15,243][691100] Updated weights for policy 0, policy_version 47011 (0.0014) -[2026-06-03 02:51:17,422][691100] Updated weights for policy 0, policy_version 47075 (0.0013) -[2026-06-03 02:51:19,516][691100] Updated weights for policy 0, policy_version 47138 (0.0015) -[2026-06-03 02:51:19,709][690149] Fps is (10 sec: 15564.4, 60 sec: 14609.1, 300 sec: 14634.5). Total num frames: 24141824. Throughput: 0: 14665.9. Samples: 24123392. Policy #0 lag: (min: 15.0, avg: 20.6, max: 79.0) -[2026-06-03 02:51:19,710][690149] Avg episode reward: [(0, '10958.300')] -[2026-06-03 02:51:21,653][691100] Updated weights for policy 0, policy_version 47200 (0.0012) -[2026-06-03 02:51:23,639][691100] Updated weights for policy 0, policy_version 47234 (0.0012) -[2026-06-03 02:51:24,143][691100] Updated weights for policy 0, policy_version 47296 (0.0012) -[2026-06-03 02:51:24,709][690149] Fps is (10 sec: 16383.6, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 24215552. Throughput: 0: 14847.9. Samples: 24216576. Policy #0 lag: (min: 15.0, avg: 20.6, max: 79.0) -[2026-06-03 02:51:24,710][690149] Avg episode reward: [(0, '10411.550')] -[2026-06-03 02:51:26,223][691100] Updated weights for policy 0, policy_version 47359 (0.0011) -[2026-06-03 02:51:28,430][691100] Updated weights for policy 0, policy_version 47418 (0.0011) -[2026-06-03 02:51:29,709][690149] Fps is (10 sec: 13926.8, 60 sec: 14745.6, 300 sec: 14551.2). Total num frames: 24281088. Throughput: 0: 14984.6. Samples: 24307200. Policy #0 lag: (min: 15.0, avg: 20.6, max: 79.0) -[2026-06-03 02:51:29,709][690149] Avg episode reward: [(0, '10235.400')] -[2026-06-03 02:51:30,609][691100] Updated weights for policy 0, policy_version 47478 (0.0014) -[2026-06-03 02:51:32,759][691100] Updated weights for policy 0, policy_version 47546 (0.0012) -[2026-06-03 02:51:34,709][690149] Fps is (10 sec: 14746.0, 60 sec: 15018.7, 300 sec: 14606.8). Total num frames: 24363008. Throughput: 0: 14905.0. Samples: 24349696. Policy #0 lag: (min: 15.0, avg: 20.6, max: 79.0) -[2026-06-03 02:51:34,709][690149] Avg episode reward: [(0, '10410.650')] -[2026-06-03 02:51:34,907][691100] Updated weights for policy 0, policy_version 47613 (0.0012) -[2026-06-03 02:51:38,845][691100] Updated weights for policy 0, policy_version 47682 (0.0013) -[2026-06-03 02:51:39,375][691100] Updated weights for policy 0, policy_version 47744 (0.0011) -[2026-06-03 02:51:39,709][690149] Fps is (10 sec: 16383.8, 60 sec: 15018.7, 300 sec: 14662.3). Total num frames: 24444928. Throughput: 0: 14950.4. Samples: 24442368. Policy #0 lag: (min: 15.0, avg: 20.6, max: 79.0) -[2026-06-03 02:51:39,711][690149] Avg episode reward: [(0, '10475.600')] -[2026-06-03 02:51:41,509][691100] Updated weights for policy 0, policy_version 47805 (0.0012) -[2026-06-03 02:51:44,709][690149] Fps is (10 sec: 14745.5, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 24510464. Throughput: 0: 14939.0. Samples: 24530944. Policy #0 lag: (min: 15.0, avg: 20.6, max: 79.0) -[2026-06-03 02:51:44,710][690149] Avg episode reward: [(0, '10178.750')] -[2026-06-03 02:51:45,444][691100] Updated weights for policy 0, policy_version 47888 (0.0011) -[2026-06-03 02:51:47,632][691100] Updated weights for policy 0, policy_version 47938 (0.0011) -[2026-06-03 02:51:49,709][690149] Fps is (10 sec: 13107.0, 60 sec: 14745.7, 300 sec: 14551.2). Total num frames: 24576000. Throughput: 0: 15007.3. Samples: 24577024. Policy #0 lag: (min: 15.0, avg: 20.6, max: 79.0) -[2026-06-03 02:51:49,710][690149] Avg episode reward: [(0, '10472.100')] -[2026-06-03 02:51:49,912][691029] Signal inference workers to stop experience collection... (2250 times) -[2026-06-03 02:51:49,963][691100] InferenceWorker_p0-w0: stopping experience collection (2250 times) -[2026-06-03 02:51:50,051][691029] Signal inference workers to resume experience collection... (2250 times) -[2026-06-03 02:51:50,052][691100] InferenceWorker_p0-w0: resuming experience collection (2250 times) -[2026-06-03 02:51:50,101][691100] Updated weights for policy 0, policy_version 48018 (0.0010) -[2026-06-03 02:51:52,304][691100] Updated weights for policy 0, policy_version 48082 (0.0011) -[2026-06-03 02:51:54,458][691100] Updated weights for policy 0, policy_version 48144 (0.0012) -[2026-06-03 02:51:54,709][690149] Fps is (10 sec: 14745.8, 60 sec: 15018.7, 300 sec: 14606.8). Total num frames: 24657920. Throughput: 0: 14973.2. Samples: 24663552. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) -[2026-06-03 02:51:54,709][690149] Avg episode reward: [(0, '10917.350')] -[2026-06-03 02:51:56,703][691100] Updated weights for policy 0, policy_version 48208 (0.0010) -[2026-06-03 02:51:58,930][691100] Updated weights for policy 0, policy_version 48272 (0.0010) -[2026-06-03 02:51:59,709][690149] Fps is (10 sec: 16384.0, 60 sec: 14882.1, 300 sec: 14662.3). Total num frames: 24739840. Throughput: 0: 14904.8. Samples: 24750592. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) -[2026-06-03 02:51:59,710][690149] Avg episode reward: [(0, '11195.850')] -[2026-06-03 02:51:59,716][691029] Saving new best policy, reward=11195.850! -[2026-06-03 02:52:01,082][691100] Updated weights for policy 0, policy_version 48336 (0.0009) -[2026-06-03 02:52:03,111][691100] Updated weights for policy 0, policy_version 48400 (0.0011) -[2026-06-03 02:52:04,709][690149] Fps is (10 sec: 14745.1, 60 sec: 14745.6, 300 sec: 14662.3). Total num frames: 24805376. Throughput: 0: 15007.3. Samples: 24798720. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) -[2026-06-03 02:52:04,710][690149] Avg episode reward: [(0, '11517.000')] -[2026-06-03 02:52:04,716][691029] Saving new best policy, reward=11517.000! -[2026-06-03 02:52:05,342][691100] Updated weights for policy 0, policy_version 48466 (0.0010) -[2026-06-03 02:52:07,572][691100] Updated weights for policy 0, policy_version 48528 (0.0009) -[2026-06-03 02:52:09,624][691100] Updated weights for policy 0, policy_version 48578 (0.0012) -[2026-06-03 02:52:09,709][690149] Fps is (10 sec: 13926.5, 60 sec: 14882.1, 300 sec: 14606.8). Total num frames: 24879104. Throughput: 0: 14939.1. Samples: 24888832. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) -[2026-06-03 02:52:09,710][690149] Avg episode reward: [(0, '11300.700')] -[2026-06-03 02:52:10,171][691100] Updated weights for policy 0, policy_version 48640 (0.0009) -[2026-06-03 02:52:12,392][691100] Updated weights for policy 0, policy_version 48702 (0.0009) -[2026-06-03 02:52:14,570][691100] Updated weights for policy 0, policy_version 48767 (0.0010) -[2026-06-03 02:52:14,709][690149] Fps is (10 sec: 16384.2, 60 sec: 15291.7, 300 sec: 14662.3). Total num frames: 24969216. Throughput: 0: 14859.3. Samples: 24975872. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) -[2026-06-03 02:52:14,710][690149] Avg episode reward: [(0, '11616.050')] -[2026-06-03 02:52:14,714][691029] Saving new best policy, reward=11616.050! -[2026-06-03 02:52:16,919][691100] Updated weights for policy 0, policy_version 48828 (0.0009) -[2026-06-03 02:52:18,735][691029] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 -[2026-06-03 02:52:18,737][691101] Stopping RolloutWorker_w0... -[2026-06-03 02:52:18,738][691101] Loop rollout_proc0_evt_loop terminating... -[2026-06-03 02:52:18,737][690149] Component RolloutWorker_w0 stopped! -[2026-06-03 02:52:18,738][691029] Stopping Batcher_0... -[2026-06-03 02:52:18,739][690149] Component Batcher_0 stopped! -[2026-06-03 02:52:18,739][691029] Loop batcher_evt_loop terminating... -[2026-06-03 02:52:18,796][691100] Weights refcount: 2 0 -[2026-06-03 02:52:18,798][691100] Stopping InferenceWorker_p0-w0... -[2026-06-03 02:52:18,798][691100] Loop inference_proc0-0_evt_loop terminating... -[2026-06-03 02:52:18,798][690149] Component InferenceWorker_p0-w0 stopped! -[2026-06-03 02:52:18,810][691029] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 -[2026-06-03 02:52:18,811][691029] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed13/checkpoint_p0/checkpoint_000048864_25018368.pth... -[2026-06-03 02:52:18,914][691029] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 -[2026-06-03 02:52:18,914][691029] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed13/checkpoint_p0/checkpoint_000048880_25026560.pth... -[2026-06-03 02:52:18,936][691029] Stopping LearnerWorker_p0... -[2026-06-03 02:52:18,937][691029] Loop learner_proc0_evt_loop terminating... -[2026-06-03 02:52:18,937][690149] Component LearnerWorker_p0 stopped! -[2026-06-03 02:52:18,938][690149] Waiting for process learner_proc0 to stop... -[2026-06-03 02:52:20,574][690149] Waiting for process inference_proc0-0 to join... -[2026-06-03 02:52:20,575][690149] Waiting for process rollout_proc0 to join... -[2026-06-03 02:52:20,577][690149] Batcher 0 profile tree view: -batching: 1.5609, releasing_batches: 1.8677 -[2026-06-03 02:52:20,577][690149] InferenceWorker_p0-w0 profile tree view: -wait_policy: 0.0023 - wait_policy_total: 1434.8957 -update_model: 10.8147 - weight_update: 0.0010 -one_step: 0.0034 - handle_policy_step: 114.5455 - deserialize: 2.4417, stack: 0.1239, obs_to_device_normalize: 24.0567, forward: 60.0455, prepare_outputs: 17.7828, send_messages: 3.7897 -[2026-06-03 02:52:20,578][690149] Learner 0 profile tree view: -misc: 0.0109, prepare_batch: 53.5662 -train: 363.5367 - epoch_init: 0.0697, minibatch_init: 3.4165, losses_postprocess: 70.5344, kl_divergence: 69.1906, update: 136.7173, after_optimizer: 27.8392 - calculate_losses: 51.6322 - losses_init: 0.1033, forward_head: 16.4929, bptt_initial: 0.4863, bptt: 0.5563, tail: 11.9240, advantages_returns: 3.7887, losses: 14.3703 -[2026-06-03 02:52:20,579][690149] RolloutWorker_w0 profile tree view: -wait_for_trajectories: 0.0436, enqueue_policy_requests: 8.9738, process_policy_outputs: 5.0157, env_step: 1482.4970, finalize_trajectories: 0.0965, complete_rollouts: 0.0907 -post_env_step: 14.4867 - process_env_step: 5.1487 -[2026-06-03 02:52:20,581][690149] Loop Runner_EvtLoop terminating... -[2026-06-03 02:52:20,581][690149] Runner profile tree view: -main_loop: 1751.8366 -[2026-06-03 02:52:20,581][690149] Collected {0: 25026560}, FPS: 14285.9 +[2026-06-04 14:41:35,644][646750] Using optimizer +[2026-06-04 14:41:36,383][646750] No checkpoints found +[2026-06-04 14:41:36,383][646750] Did not load from checkpoint, starting from scratch! +[2026-06-04 14:41:36,383][646750] Initialized policy 0 weights for model version 0 +[2026-06-04 14:41:36,388][646750] LearnerWorker_p0 finished initialization! +[2026-06-04 14:41:36,389][646750] Using GPUs [0] for process 0 (actually maps to GPUs [7]) +[2026-06-04 14:41:36,848][646832] Using GPUs [0] for process 0 (actually maps to GPUs [7]) +[2026-06-04 14:41:36,848][646832] Set environment var CUDA_VISIBLE_DEVICES to '7' (GPU indices [0]) for inference process 0 +[2026-06-04 14:41:36,849][646832] Num visible devices: 1 +[2026-06-04 14:41:36,851][646832] RunningMeanStd input shape: (4, 84, 84) +[2026-06-04 14:41:36,858][646832] RunningMeanStd input shape: (1,) +[2026-06-04 14:41:36,866][646832] ConvEncoder: input_channels=4 +[2026-06-04 14:41:36,897][646833] 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 14:41:36,897][646833] Using GPUs [0] for process 0 (actually maps to GPUs [7]) +[2026-06-04 14:41:36,897][646833] Set environment var CUDA_VISIBLE_DEVICES to '7' (GPU indices [0]) for actor process 0 +[2026-06-04 14:41:36,897][646833] Num visible devices: 1 +[2026-06-04 14:41:36,926][646832] Conv encoder output size: 512 +[2026-06-04 14:41:36,931][645820] Inference worker 0-0 is ready! +[2026-06-04 14:41:36,931][645820] All inference workers are ready! Signal rollout workers to start! +[2026-06-04 14:41:36,932][646833] EnvRunner 0-0 uses policy 0 +[2026-06-04 14:41:39,925][645820] 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 14:41:40,762][646750] Signal inference workers to stop experience collection... +[2026-06-04 14:41:40,788][646832] InferenceWorker_p0-w0: stopping experience collection +[2026-06-04 14:41:41,928][646750] Signal inference workers to resume experience collection... +[2026-06-04 14:41:41,929][646832] InferenceWorker_p0-w0: resuming experience collection +[2026-06-04 14:41:44,925][645820] Fps is (10 sec: 6553.7, 60 sec: 6553.7, 300 sec: 6553.7). Total num frames: 32768. Throughput: 0: 8601.8. Samples: 43008. Policy #0 lag: (min: 15.0, avg: 15.0, max: 15.0) +[2026-06-04 14:41:44,926][645820] Avg episode reward: [(0, '25.000')] +[2026-06-04 14:41:45,497][646832] Updated weights for policy 0, policy_version 112 (0.0035) +[2026-06-04 14:41:49,925][645820] Fps is (10 sec: 9830.6, 60 sec: 9830.6, 300 sec: 9830.6). Total num frames: 98304. Throughput: 0: 9984.2. Samples: 99840. Policy #0 lag: (min: 2.0, avg: 4.8, max: 66.0) +[2026-06-04 14:41:49,926][645820] Avg episode reward: [(0, '37.333')] +[2026-06-04 14:41:52,359][646832] Updated weights for policy 0, policy_version 208 (0.0010) +[2026-06-04 14:41:54,010][645820] Heartbeat connected on Batcher_0 +[2026-06-04 14:41:54,014][645820] Heartbeat connected on LearnerWorker_p0 +[2026-06-04 14:41:54,061][645820] Heartbeat connected on RolloutWorker_w0 +[2026-06-04 14:41:54,064][645820] Heartbeat connected on InferenceWorker_p0-w0 +[2026-06-04 14:41:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8738.2, 300 sec: 8738.2). Total num frames: 131072. Throughput: 0: 8601.7. Samples: 129024. Policy #0 lag: (min: 2.0, avg: 4.7, max: 66.0) +[2026-06-04 14:41:54,926][645820] Avg episode reward: [(0, '58.205')] +[2026-06-04 14:41:54,928][646750] Saving new best policy, reward=58.205! +[2026-06-04 14:41:56,577][646832] Updated weights for policy 0, policy_version 308 (0.0013) +[2026-06-04 14:41:59,925][645820] Fps is (10 sec: 6553.6, 60 sec: 8192.1, 300 sec: 8192.1). Total num frames: 163840. Throughput: 0: 8934.5. Samples: 178688. Policy #0 lag: (min: 5.0, avg: 7.9, max: 69.0) +[2026-06-04 14:41:59,926][645820] Avg episode reward: [(0, '90.600')] +[2026-06-04 14:41:59,928][646750] Saving new best policy, reward=90.600! +[2026-06-04 14:42:04,498][646832] Updated weights for policy 0, policy_version 416 (0.0011) +[2026-06-04 14:42:04,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9175.1, 300 sec: 9175.1). Total num frames: 229376. Throughput: 0: 9113.6. Samples: 227840. Policy #0 lag: (min: 2.0, avg: 4.8, max: 66.0) +[2026-06-04 14:42:04,926][645820] Avg episode reward: [(0, '108.350')] +[2026-06-04 14:42:04,930][646750] Saving new best policy, reward=108.350! +[2026-06-04 14:42:08,881][646832] Updated weights for policy 0, policy_version 512 (0.0011) +[2026-06-04 14:42:09,925][645820] Fps is (10 sec: 9830.2, 60 sec: 8738.1, 300 sec: 8738.1). Total num frames: 262144. Throughput: 0: 8362.7. Samples: 250880. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 14:42:09,926][645820] Avg episode reward: [(0, '111.700')] +[2026-06-04 14:42:09,930][646750] Saving new best policy, reward=111.700! +[2026-06-04 14:42:14,925][645820] Fps is (10 sec: 6553.6, 60 sec: 8426.1, 300 sec: 8426.1). Total num frames: 294912. Throughput: 0: 8572.4. Samples: 300032. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 14:42:14,926][645820] Avg episode reward: [(0, '124.300')] +[2026-06-04 14:42:14,930][646750] Saving new best policy, reward=124.300! +[2026-06-04 14:42:16,612][646832] Updated weights for policy 0, policy_version 631 (0.0012) +[2026-06-04 14:42:19,925][645820] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8192.0). Total num frames: 327680. Throughput: 0: 8768.0. Samples: 350720. Policy #0 lag: (min: 5.0, avg: 7.7, max: 69.0) +[2026-06-04 14:42:19,926][645820] Avg episode reward: [(0, '146.350')] +[2026-06-04 14:42:19,930][646750] Saving new best policy, reward=146.350! +[2026-06-04 14:42:24,082][646832] Updated weights for policy 0, policy_version 720 (0.0010) +[2026-06-04 14:42:24,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8738.1). Total num frames: 393216. Throughput: 0: 8351.3. Samples: 375808. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 14:42:24,926][645820] Avg episode reward: [(0, '150.950')] +[2026-06-04 14:42:24,931][646750] Saving new best policy, reward=150.950! +[2026-06-04 14:42:28,486][646832] Updated weights for policy 0, policy_version 823 (0.0010) +[2026-06-04 14:42:29,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8519.7, 300 sec: 8519.7). Total num frames: 425984. Throughput: 0: 8510.6. Samples: 425984. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:42:29,926][645820] Avg episode reward: [(0, '157.500')] +[2026-06-04 14:42:29,931][646750] Saving new best policy, reward=157.500! +[2026-06-04 14:42:34,925][645820] Fps is (10 sec: 6553.6, 60 sec: 8341.0, 300 sec: 8341.0). Total num frames: 458752. Throughput: 0: 8305.7. Samples: 473600. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0) +[2026-06-04 14:42:34,926][645820] Avg episode reward: [(0, '160.600')] +[2026-06-04 14:42:34,929][646750] Saving new best policy, reward=160.600! +[2026-06-04 14:42:36,503][646832] Updated weights for policy 0, policy_version 951 (0.0011) +[2026-06-04 14:42:39,925][645820] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8192.0). Total num frames: 491520. Throughput: 0: 8180.6. Samples: 497152. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0) +[2026-06-04 14:42:39,926][645820] Avg episode reward: [(0, '168.200')] +[2026-06-04 14:42:39,930][646750] Saving new best policy, reward=168.200! +[2026-06-04 14:42:44,312][646750] Signal inference workers to stop experience collection... (50 times) +[2026-06-04 14:42:44,342][646832] InferenceWorker_p0-w0: stopping experience collection (50 times) +[2026-06-04 14:42:44,422][646750] Signal inference workers to resume experience collection... (50 times) +[2026-06-04 14:42:44,423][646832] InferenceWorker_p0-w0: resuming experience collection (50 times) +[2026-06-04 14:42:44,424][646832] Updated weights for policy 0, policy_version 1072 (0.0013) +[2026-06-04 14:42:44,925][645820] Fps is (10 sec: 9830.5, 60 sec: 8738.1, 300 sec: 8570.1). Total num frames: 557056. Throughput: 0: 8192.0. Samples: 547328. Policy #0 lag: (min: 2.0, avg: 5.6, max: 66.0) +[2026-06-04 14:42:44,926][645820] Avg episode reward: [(0, '154.550')] +[2026-06-04 14:42:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8192.0, 300 sec: 8426.1). Total num frames: 589824. Throughput: 0: 8169.2. Samples: 595456. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 14:42:49,926][645820] Avg episode reward: [(0, '164.550')] +[2026-06-04 14:42:52,272][646832] Updated weights for policy 0, policy_version 1184 (0.0009) +[2026-06-04 14:42:54,925][645820] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8301.2). Total num frames: 622592. Throughput: 0: 8260.3. Samples: 622592. Policy #0 lag: (min: 5.0, avg: 7.6, max: 69.0) +[2026-06-04 14:42:54,926][645820] Avg episode reward: [(0, '160.100')] +[2026-06-04 14:42:59,891][646832] Updated weights for policy 0, policy_version 1296 (0.0009) +[2026-06-04 14:42:59,925][645820] Fps is (10 sec: 7372.8, 60 sec: 8328.5, 300 sec: 8294.4). Total num frames: 663552. Throughput: 0: 8271.6. Samples: 672256. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:42:59,926][645820] Avg episode reward: [(0, '151.550')] +[2026-06-04 14:43:04,144][646832] Updated weights for policy 0, policy_version 1403 (0.0010) +[2026-06-04 14:43:04,925][645820] Fps is (10 sec: 9830.3, 60 sec: 8192.0, 300 sec: 8481.1). Total num frames: 720896. Throughput: 0: 8260.3. Samples: 722432. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 14:43:04,926][645820] Avg episode reward: [(0, '176.100')] +[2026-06-04 14:43:04,930][646750] Saving new best policy, reward=176.100! +[2026-06-04 14:43:09,925][645820] Fps is (10 sec: 9011.2, 60 sec: 8192.0, 300 sec: 8374.1). Total num frames: 753664. Throughput: 0: 8283.0. Samples: 748544. Policy #0 lag: (min: 5.0, avg: 7.8, max: 69.0) +[2026-06-04 14:43:09,926][645820] Avg episode reward: [(0, '169.000')] +[2026-06-04 14:43:11,724][646832] Updated weights for policy 0, policy_version 1504 (0.0009) +[2026-06-04 14:43:14,925][645820] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8278.2). Total num frames: 786432. Throughput: 0: 8260.3. Samples: 797696. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 14:43:14,926][645820] Avg episode reward: [(0, '166.600')] +[2026-06-04 14:43:16,036][646832] Updated weights for policy 0, policy_version 1600 (0.0008) +[2026-06-04 14:43:19,925][645820] Fps is (10 sec: 9011.2, 60 sec: 8601.6, 300 sec: 8437.8). Total num frames: 843776. Throughput: 0: 8339.9. Samples: 848896. Policy #0 lag: (min: 1.0, avg: 4.7, max: 65.0) +[2026-06-04 14:43:19,926][645820] Avg episode reward: [(0, '167.000')] +[2026-06-04 14:43:23,577][646832] Updated weights for policy 0, policy_version 1696 (0.0006) +[2026-06-04 14:43:24,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8192.0, 300 sec: 8426.1). Total num frames: 884736. Throughput: 0: 8351.3. Samples: 872960. Policy #0 lag: (min: 0.0, avg: 3.7, max: 64.0) +[2026-06-04 14:43:24,926][645820] Avg episode reward: [(0, '184.500')] +[2026-06-04 14:43:24,929][646750] Saving new best policy, reward=184.500! +[2026-06-04 14:43:27,650][646832] Updated weights for policy 0, policy_version 1792 (0.0011) +[2026-06-04 14:43:29,925][645820] Fps is (10 sec: 7372.8, 60 sec: 8192.0, 300 sec: 8341.0). Total num frames: 917504. Throughput: 0: 8362.7. Samples: 923648. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 14:43:29,926][645820] Avg episode reward: [(0, '185.550')] +[2026-06-04 14:43:29,929][646750] Saving new best policy, reward=185.550! +[2026-06-04 14:43:34,925][645820] Fps is (10 sec: 8192.0, 60 sec: 8465.1, 300 sec: 8405.7). Total num frames: 966656. Throughput: 0: 8465.1. Samples: 976384. Policy #0 lag: (min: 1.0, avg: 3.8, max: 65.0) +[2026-06-04 14:43:34,926][645820] Avg episode reward: [(0, '169.400')] +[2026-06-04 14:43:35,100][646832] Updated weights for policy 0, policy_version 1911 (0.0010) +[2026-06-04 14:43:39,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8465.1). Total num frames: 1015808. Throughput: 0: 8419.6. Samples: 1001472. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 14:43:39,926][645820] Avg episode reward: [(0, '185.900')] +[2026-06-04 14:43:39,929][646750] Saving new best policy, reward=185.900! +[2026-06-04 14:43:42,662][646832] Updated weights for policy 0, policy_version 2016 (0.0010) +[2026-06-04 14:43:44,925][645820] Fps is (10 sec: 8192.0, 60 sec: 8192.0, 300 sec: 8388.6). Total num frames: 1048576. Throughput: 0: 8419.6. Samples: 1051136. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-04 14:43:44,926][645820] Avg episode reward: [(0, '215.200')] +[2026-06-04 14:43:44,929][646750] Saving new best policy, reward=215.200! +[2026-06-04 14:43:49,925][645820] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8318.0). Total num frames: 1081344. Throughput: 0: 8465.1. Samples: 1103360. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0) +[2026-06-04 14:43:49,926][645820] Avg episode reward: [(0, '209.950')] +[2026-06-04 14:43:50,345][646750] Signal inference workers to stop experience collection... (100 times) +[2026-06-04 14:43:50,375][646832] InferenceWorker_p0-w0: stopping experience collection (100 times) +[2026-06-04 14:43:50,457][646750] Signal inference workers to resume experience collection... (100 times) +[2026-06-04 14:43:50,458][646832] InferenceWorker_p0-w0: resuming experience collection (100 times) +[2026-06-04 14:43:50,460][646832] Updated weights for policy 0, policy_version 2144 (0.0012) +[2026-06-04 14:43:54,728][646832] Updated weights for policy 0, policy_version 2240 (0.0011) +[2026-06-04 14:43:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8495.4). Total num frames: 1146880. Throughput: 0: 8419.6. Samples: 1127424. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 14:43:54,926][645820] Avg episode reward: [(0, '190.050')] +[2026-06-04 14:43:59,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8601.6, 300 sec: 8426.1). Total num frames: 1179648. Throughput: 0: 8476.4. Samples: 1179136. Policy #0 lag: (min: 1.0, avg: 3.7, max: 65.0) +[2026-06-04 14:43:59,926][645820] Avg episode reward: [(0, '176.150')] +[2026-06-04 14:44:02,352][646832] Updated weights for policy 0, policy_version 2367 (0.0011) +[2026-06-04 14:44:04,925][645820] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8361.5). Total num frames: 1212416. Throughput: 0: 8476.4. Samples: 1230336. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0) +[2026-06-04 14:44:04,926][645820] Avg episode reward: [(0, '185.700')] +[2026-06-04 14:44:09,925][645820] Fps is (10 sec: 8192.0, 60 sec: 8465.1, 300 sec: 8410.5). Total num frames: 1261568. Throughput: 0: 8487.8. Samples: 1254912. Policy #0 lag: (min: 12.0, avg: 14.6, max: 76.0) +[2026-06-04 14:44:09,926][645820] Avg episode reward: [(0, '206.600')] +[2026-06-04 14:44:10,023][646832] Updated weights for policy 0, policy_version 2487 (0.0011) +[2026-06-04 14:44:14,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8456.3). Total num frames: 1310720. Throughput: 0: 8499.2. Samples: 1306112. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 14:44:14,926][645820] Avg episode reward: [(0, '210.450')] +[2026-06-04 14:44:17,659][646832] Updated weights for policy 0, policy_version 2608 (0.0011) +[2026-06-04 14:44:19,925][645820] Fps is (10 sec: 8192.0, 60 sec: 8328.5, 300 sec: 8396.8). Total num frames: 1343488. Throughput: 0: 8453.7. Samples: 1356800. Policy #0 lag: (min: 0.0, avg: 2.6, max: 64.0) +[2026-06-04 14:44:19,926][645820] Avg episode reward: [(0, '203.900')] +[2026-06-04 14:44:21,731][646832] Updated weights for policy 0, policy_version 2688 (0.0009) +[2026-06-04 14:44:24,925][645820] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8341.0). Total num frames: 1376256. Throughput: 0: 8465.1. Samples: 1382400. Policy #0 lag: (min: 14.0, avg: 16.7, max: 78.0) +[2026-06-04 14:44:24,926][645820] Avg episode reward: [(0, '191.550')] +[2026-06-04 14:44:29,291][646832] Updated weights for policy 0, policy_version 2803 (0.0010) +[2026-06-04 14:44:29,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8481.1). Total num frames: 1441792. Throughput: 0: 8521.9. Samples: 1434624. Policy #0 lag: (min: 2.0, avg: 4.8, max: 66.0) +[2026-06-04 14:44:29,926][645820] Avg episode reward: [(0, '207.500')] +[2026-06-04 14:44:34,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8465.1, 300 sec: 8426.1). Total num frames: 1474560. Throughput: 0: 8453.7. Samples: 1483776. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:44:34,926][645820] Avg episode reward: [(0, '227.850')] +[2026-06-04 14:44:34,930][646750] Saving new best policy, reward=227.850! +[2026-06-04 14:44:36,683][646832] Updated weights for policy 0, policy_version 2896 (0.0010) +[2026-06-04 14:44:39,925][645820] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8374.1). Total num frames: 1507328. Throughput: 0: 8487.8. Samples: 1509376. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 14:44:39,926][645820] Avg episode reward: [(0, '205.450')] +[2026-06-04 14:44:40,767][646832] Updated weights for policy 0, policy_version 3004 (0.0010) +[2026-06-04 14:44:44,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8502.0). Total num frames: 1572864. Throughput: 0: 8522.0. Samples: 1562624. Policy #0 lag: (min: 48.0, avg: 50.8, max: 112.0) +[2026-06-04 14:44:44,926][645820] Avg episode reward: [(0, '207.550')] +[2026-06-04 14:44:48,243][646832] Updated weights for policy 0, policy_version 3104 (0.0010) +[2026-06-04 14:44:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8450.7). Total num frames: 1605632. Throughput: 0: 8487.8. Samples: 1612288. Policy #0 lag: (min: 51.0, avg: 54.7, max: 115.0) +[2026-06-04 14:44:49,926][645820] Avg episode reward: [(0, '194.500')] +[2026-06-04 14:44:52,518][646832] Updated weights for policy 0, policy_version 3200 (0.0010) +[2026-06-04 14:44:54,925][645820] Fps is (10 sec: 6553.5, 60 sec: 8192.0, 300 sec: 8402.1). Total num frames: 1638400. Throughput: 0: 8533.3. Samples: 1638912. Policy #0 lag: (min: 63.0, avg: 65.8, max: 127.0) +[2026-06-04 14:44:54,926][645820] Avg episode reward: [(0, '209.200')] +[2026-06-04 14:44:55,768][646750] Signal inference workers to stop experience collection... (150 times) +[2026-06-04 14:44:55,795][646832] InferenceWorker_p0-w0: stopping experience collection (150 times) +[2026-06-04 14:44:55,911][646750] Signal inference workers to resume experience collection... (150 times) +[2026-06-04 14:44:55,912][646832] InferenceWorker_p0-w0: resuming experience collection (150 times) +[2026-06-04 14:44:59,925][645820] Fps is (10 sec: 7372.8, 60 sec: 8328.5, 300 sec: 8396.8). Total num frames: 1679360. Throughput: 0: 8510.6. Samples: 1689088. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 14:44:59,926][645820] Avg episode reward: [(0, '199.300')] +[2026-06-04 14:45:00,055][646832] Updated weights for policy 0, policy_version 3312 (0.0011) +[2026-06-04 14:45:04,100][646832] Updated weights for policy 0, policy_version 3391 (0.0010) +[2026-06-04 14:45:04,925][645820] Fps is (10 sec: 9830.5, 60 sec: 8738.1, 300 sec: 8471.7). Total num frames: 1736704. Throughput: 0: 8487.8. Samples: 1738752. Policy #0 lag: (min: 47.0, avg: 49.8, max: 111.0) +[2026-06-04 14:45:04,926][645820] Avg episode reward: [(0, '192.450')] +[2026-06-04 14:45:09,925][645820] Fps is (10 sec: 9011.2, 60 sec: 8465.1, 300 sec: 8426.1). Total num frames: 1769472. Throughput: 0: 8544.7. Samples: 1766912. Policy #0 lag: (min: 47.0, avg: 49.8, max: 111.0) +[2026-06-04 14:45:09,926][645820] Avg episode reward: [(0, '200.750')] +[2026-06-04 14:45:11,575][646832] Updated weights for policy 0, policy_version 3510 (0.0010) +[2026-06-04 14:45:14,925][645820] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8382.5). Total num frames: 1802240. Throughput: 0: 8487.8. Samples: 1816576. Policy #0 lag: (min: 4.0, avg: 6.6, max: 68.0) +[2026-06-04 14:45:14,926][645820] Avg episode reward: [(0, '225.550')] +[2026-06-04 14:45:19,352][646832] Updated weights for policy 0, policy_version 3616 (0.0010) +[2026-06-04 14:45:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8489.9). Total num frames: 1867776. Throughput: 0: 8521.9. Samples: 1867264. Policy #0 lag: (min: 51.0, avg: 53.7, max: 115.0) +[2026-06-04 14:45:19,926][645820] Avg episode reward: [(0, '237.900')] +[2026-06-04 14:45:19,929][646750] Saving new best policy, reward=237.900! +[2026-06-04 14:45:23,571][646832] Updated weights for policy 0, policy_version 3712 (0.0010) +[2026-06-04 14:45:24,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8446.9). Total num frames: 1900544. Throughput: 0: 8510.6. Samples: 1892352. Policy #0 lag: (min: 51.0, avg: 53.7, max: 115.0) +[2026-06-04 14:45:24,926][645820] Avg episode reward: [(0, '214.050')] +[2026-06-04 14:45:29,925][645820] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8405.7). Total num frames: 1933312. Throughput: 0: 8453.7. Samples: 1943040. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:45:29,926][645820] Avg episode reward: [(0, '226.500')] +[2026-06-04 14:45:30,841][646832] Updated weights for policy 0, policy_version 3824 (0.0010) +[2026-06-04 14:45:34,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8505.7). Total num frames: 1998848. Throughput: 0: 8578.9. Samples: 1998336. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 14:45:34,926][645820] Avg episode reward: [(0, '231.800')] +[2026-06-04 14:45:38,090][646832] Updated weights for policy 0, policy_version 3936 (0.0010) +[2026-06-04 14:45:39,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8465.1). Total num frames: 2031616. Throughput: 0: 8556.1. Samples: 2023936. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 14:45:39,926][645820] Avg episode reward: [(0, '219.950')] +[2026-06-04 14:45:42,326][646832] Updated weights for policy 0, policy_version 4029 (0.0011) +[2026-06-04 14:45:44,925][645820] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8426.1). Total num frames: 2064384. Throughput: 0: 8533.3. Samples: 2073088. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:45:44,926][645820] Avg episode reward: [(0, '230.200')] +[2026-06-04 14:45:49,889][646832] Updated weights for policy 0, policy_version 4144 (0.0011) +[2026-06-04 14:45:49,925][645820] Fps is (10 sec: 9011.2, 60 sec: 8601.6, 300 sec: 8486.9). Total num frames: 2121728. Throughput: 0: 8578.8. Samples: 2124800. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:45:49,926][645820] Avg episode reward: [(0, '219.450')] +[2026-06-04 14:45:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8738.2, 300 sec: 8481.1). Total num frames: 2162688. Throughput: 0: 8533.3. Samples: 2150912. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:45:54,926][645820] Avg episode reward: [(0, '221.850')] +[2026-06-04 14:45:57,261][646832] Updated weights for policy 0, policy_version 4240 (0.0010) +[2026-06-04 14:45:57,374][646750] Signal inference workers to stop experience collection... (200 times) +[2026-06-04 14:45:57,404][646832] InferenceWorker_p0-w0: stopping experience collection (200 times) +[2026-06-04 14:45:57,485][646750] Signal inference workers to resume experience collection... (200 times) +[2026-06-04 14:45:57,486][646832] InferenceWorker_p0-w0: resuming experience collection (200 times) +[2026-06-04 14:45:59,925][645820] Fps is (10 sec: 7372.8, 60 sec: 8601.6, 300 sec: 8444.1). Total num frames: 2195456. Throughput: 0: 8556.1. Samples: 2201600. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 14:45:59,926][645820] Avg episode reward: [(0, '217.800')] +[2026-06-04 14:46:01,522][646832] Updated weights for policy 0, policy_version 4346 (0.0011) +[2026-06-04 14:46:04,925][645820] Fps is (10 sec: 7372.8, 60 sec: 8328.5, 300 sec: 8439.3). Total num frames: 2236416. Throughput: 0: 8578.9. Samples: 2253312. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:46:04,926][645820] Avg episode reward: [(0, '221.050')] +[2026-06-04 14:46:08,670][646832] Updated weights for policy 0, policy_version 4448 (0.0010) +[2026-06-04 14:46:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8495.4). Total num frames: 2293760. Throughput: 0: 8601.6. Samples: 2279424. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:46:09,926][645820] Avg episode reward: [(0, '212.300')] +[2026-06-04 14:46:12,811][646832] Updated weights for policy 0, policy_version 4544 (0.0010) +[2026-06-04 14:46:14,925][645820] Fps is (10 sec: 9011.2, 60 sec: 8738.1, 300 sec: 8460.1). Total num frames: 2326528. Throughput: 0: 8624.3. Samples: 2331136. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 14:46:14,926][645820] Avg episode reward: [(0, '219.600')] +[2026-06-04 14:46:19,925][645820] Fps is (10 sec: 8192.0, 60 sec: 8465.1, 300 sec: 8484.6). Total num frames: 2375680. Throughput: 0: 8613.0. Samples: 2385920. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0) +[2026-06-04 14:46:19,926][645820] Avg episode reward: [(0, '257.300')] +[2026-06-04 14:46:20,193][646832] Updated weights for policy 0, policy_version 4669 (0.0011) +[2026-06-04 14:46:20,214][646750] Saving new best policy, reward=257.300! +[2026-06-04 14:46:24,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8508.2). Total num frames: 2424832. Throughput: 0: 8613.0. Samples: 2411520. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0) +[2026-06-04 14:46:24,926][645820] Avg episode reward: [(0, '257.100')] +[2026-06-04 14:46:27,581][646832] Updated weights for policy 0, policy_version 4784 (0.0008) +[2026-06-04 14:46:29,925][645820] Fps is (10 sec: 8192.0, 60 sec: 8738.1, 300 sec: 8474.5). Total num frames: 2457600. Throughput: 0: 8669.9. Samples: 2463232. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0) +[2026-06-04 14:46:29,926][645820] Avg episode reward: [(0, '250.150')] +[2026-06-04 14:46:34,717][646832] Updated weights for policy 0, policy_version 4880 (0.0009) +[2026-06-04 14:46:34,925][645820] Fps is (10 sec: 9011.2, 60 sec: 8601.6, 300 sec: 8525.2). Total num frames: 2514944. Throughput: 0: 8738.1. Samples: 2518016. Policy #0 lag: (min: 1.0, avg: 3.6, max: 65.0) +[2026-06-04 14:46:34,926][645820] Avg episode reward: [(0, '250.050')] +[2026-06-04 14:46:38,606][646832] Updated weights for policy 0, policy_version 4987 (0.0010) +[2026-06-04 14:46:39,925][645820] Fps is (10 sec: 9830.5, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 2555904. Throughput: 0: 8772.3. Samples: 2545664. Policy #0 lag: (min: 1.0, avg: 3.6, max: 65.0) +[2026-06-04 14:46:39,926][645820] Avg episode reward: [(0, '264.700')] +[2026-06-04 14:46:39,928][646750] Saving new best policy, reward=264.700! +[2026-06-04 14:46:44,925][645820] Fps is (10 sec: 7372.8, 60 sec: 8738.1, 300 sec: 8441.9). Total num frames: 2588672. Throughput: 0: 8760.9. Samples: 2595840. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-04 14:46:44,926][645820] Avg episode reward: [(0, '277.450')] +[2026-06-04 14:46:44,929][646750] Saving new best policy, reward=277.450! +[2026-06-04 14:46:46,209][646832] Updated weights for policy 0, policy_version 5104 (0.0010) +[2026-06-04 14:46:49,925][645820] Fps is (10 sec: 7372.7, 60 sec: 8465.1, 300 sec: 8469.7). Total num frames: 2629632. Throughput: 0: 8760.9. Samples: 2647552. Policy #0 lag: (min: 6.0, avg: 8.7, max: 70.0) +[2026-06-04 14:46:49,926][645820] Avg episode reward: [(0, '284.350')] +[2026-06-04 14:46:50,093][646750] Saving new best policy, reward=284.350! +[2026-06-04 14:46:53,689][646832] Updated weights for policy 0, policy_version 5200 (0.0010) +[2026-06-04 14:46:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 2686976. Throughput: 0: 8749.5. Samples: 2673152. Policy #0 lag: (min: 6.0, avg: 8.7, max: 70.0) +[2026-06-04 14:46:54,926][645820] Avg episode reward: [(0, '271.100')] +[2026-06-04 14:46:57,675][646832] Updated weights for policy 0, policy_version 5296 (0.0010) +[2026-06-04 14:46:59,925][645820] Fps is (10 sec: 9011.2, 60 sec: 8738.1, 300 sec: 8441.9). Total num frames: 2719744. Throughput: 0: 8726.8. Samples: 2723840. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:46:59,926][645820] Avg episode reward: [(0, '270.550')] +[2026-06-04 14:47:01,197][646750] Signal inference workers to stop experience collection... (250 times) +[2026-06-04 14:47:01,226][646832] InferenceWorker_p0-w0: stopping experience collection (250 times) +[2026-06-04 14:47:01,325][646750] Signal inference workers to resume experience collection... (250 times) +[2026-06-04 14:47:01,326][646832] InferenceWorker_p0-w0: resuming experience collection (250 times) +[2026-06-04 14:47:04,925][645820] Fps is (10 sec: 6553.6, 60 sec: 8601.6, 300 sec: 8441.9). Total num frames: 2752512. Throughput: 0: 8692.6. Samples: 2777088. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:47:04,926][645820] Avg episode reward: [(0, '290.000')] +[2026-06-04 14:47:04,930][646750] Saving new best policy, reward=290.000! +[2026-06-04 14:47:05,093][646832] Updated weights for policy 0, policy_version 5392 (0.0011) +[2026-06-04 14:47:09,105][646832] Updated weights for policy 0, policy_version 5499 (0.0009) +[2026-06-04 14:47:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 2818048. Throughput: 0: 8681.2. Samples: 2802176. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 14:47:09,926][645820] Avg episode reward: [(0, '266.200')] +[2026-06-04 14:47:14,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 2850816. Throughput: 0: 8749.5. Samples: 2856960. Policy #0 lag: (min: 9.0, avg: 11.8, max: 73.0) +[2026-06-04 14:47:14,926][645820] Avg episode reward: [(0, '280.700')] +[2026-06-04 14:47:16,192][646832] Updated weights for policy 0, policy_version 5616 (0.0011) +[2026-06-04 14:47:19,925][645820] Fps is (10 sec: 8192.0, 60 sec: 8738.1, 300 sec: 8497.5). Total num frames: 2899968. Throughput: 0: 8738.1. Samples: 2911232. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 14:47:19,926][645820] Avg episode reward: [(0, '291.800')] +[2026-06-04 14:47:20,111][646750] Saving new best policy, reward=291.800! +[2026-06-04 14:47:23,530][646832] Updated weights for policy 0, policy_version 5712 (0.0011) +[2026-06-04 14:47:24,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 2949120. Throughput: 0: 8692.6. Samples: 2936832. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 14:47:24,926][645820] Avg episode reward: [(0, '294.550')] +[2026-06-04 14:47:24,930][646750] Saving new best policy, reward=294.550! +[2026-06-04 14:47:27,553][646832] Updated weights for policy 0, policy_version 5815 (0.0008) +[2026-06-04 14:47:29,925][645820] Fps is (10 sec: 8192.0, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 2981888. Throughput: 0: 8726.8. Samples: 2988544. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 14:47:29,926][645820] Avg episode reward: [(0, '283.900')] +[2026-06-04 14:47:34,663][646832] Updated weights for policy 0, policy_version 5904 (0.0011) +[2026-06-04 14:47:34,925][645820] Fps is (10 sec: 8192.0, 60 sec: 8601.6, 300 sec: 8608.5). Total num frames: 3031040. Throughput: 0: 8772.3. Samples: 3042304. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0) +[2026-06-04 14:47:34,926][645820] Avg episode reward: [(0, '276.950')] +[2026-06-04 14:47:38,503][646832] Updated weights for policy 0, policy_version 6007 (0.0011) +[2026-06-04 14:47:39,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 3080192. Throughput: 0: 8817.8. Samples: 3069952. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0) +[2026-06-04 14:47:39,926][645820] Avg episode reward: [(0, '292.450')] +[2026-06-04 14:47:44,925][645820] Fps is (10 sec: 8191.9, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 3112960. Throughput: 0: 8840.5. Samples: 3121664. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0) +[2026-06-04 14:47:44,926][645820] Avg episode reward: [(0, '300.100')] +[2026-06-04 14:47:44,931][646750] Saving new best policy, reward=300.100! +[2026-06-04 14:47:45,537][646832] Updated weights for policy 0, policy_version 6083 (0.0010) +[2026-06-04 14:47:49,659][646832] Updated weights for policy 0, policy_version 6199 (0.0010) +[2026-06-04 14:47:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9147.7, 300 sec: 8664.1). Total num frames: 3178496. Throughput: 0: 8874.7. Samples: 3176448. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 14:47:49,926][645820] Avg episode reward: [(0, '364.550')] +[2026-06-04 14:47:49,929][646750] Saving new best policy, reward=364.550! +[2026-06-04 14:47:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8636.3). Total num frames: 3211264. Throughput: 0: 8920.2. Samples: 3203584. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 14:47:54,926][645820] Avg episode reward: [(0, '387.450')] +[2026-06-04 14:47:54,930][646750] Saving new best policy, reward=387.450! +[2026-06-04 14:47:56,680][646832] Updated weights for policy 0, policy_version 6288 (0.0011) +[2026-06-04 14:47:59,925][645820] Fps is (10 sec: 6553.6, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 3244032. Throughput: 0: 8863.3. Samples: 3255808. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 14:47:59,926][645820] Avg episode reward: [(0, '392.850')] +[2026-06-04 14:47:59,930][646750] Saving new best policy, reward=392.850! +[2026-06-04 14:48:00,786][646832] Updated weights for policy 0, policy_version 6400 (0.0011) +[2026-06-04 14:48:03,818][646750] Signal inference workers to stop experience collection... (300 times) +[2026-06-04 14:48:03,845][646832] InferenceWorker_p0-w0: stopping experience collection (300 times) +[2026-06-04 14:48:03,920][646750] Signal inference workers to resume experience collection... (300 times) +[2026-06-04 14:48:03,921][646832] InferenceWorker_p0-w0: resuming experience collection (300 times) +[2026-06-04 14:48:04,925][645820] Fps is (10 sec: 9830.3, 60 sec: 9284.2, 300 sec: 8664.1). Total num frames: 3309568. Throughput: 0: 8874.6. Samples: 3310592. Policy #0 lag: (min: 6.0, avg: 8.6, max: 70.0) +[2026-06-04 14:48:04,926][645820] Avg episode reward: [(0, '376.400')] +[2026-06-04 14:48:07,873][646832] Updated weights for policy 0, policy_version 6514 (0.0011) +[2026-06-04 14:48:09,925][645820] Fps is (10 sec: 9830.3, 60 sec: 8738.1, 300 sec: 8664.1). Total num frames: 3342336. Throughput: 0: 8908.8. Samples: 3337728. Policy #0 lag: (min: 6.0, avg: 8.6, max: 70.0) +[2026-06-04 14:48:09,926][645820] Avg episode reward: [(0, '418.950')] +[2026-06-04 14:48:09,931][646750] Saving new best policy, reward=418.950! +[2026-06-04 14:48:14,460][646832] Updated weights for policy 0, policy_version 6593 (0.0010) +[2026-06-04 14:48:14,925][645820] Fps is (10 sec: 9011.3, 60 sec: 9147.7, 300 sec: 8664.1). Total num frames: 3399680. Throughput: 0: 8999.8. Samples: 3393536. Policy #0 lag: (min: 5.0, avg: 7.8, max: 69.0) +[2026-06-04 14:48:14,926][645820] Avg episode reward: [(0, '428.150')] +[2026-06-04 14:48:14,956][646750] Saving new best policy, reward=428.150! +[2026-06-04 14:48:18,282][646832] Updated weights for policy 0, policy_version 6712 (0.0013) +[2026-06-04 14:48:19,925][645820] Fps is (10 sec: 9830.5, 60 sec: 9011.2, 300 sec: 8664.1). Total num frames: 3440640. Throughput: 0: 9056.7. Samples: 3449856. Policy #0 lag: (min: 3.0, avg: 6.8, max: 67.0) +[2026-06-04 14:48:19,926][645820] Avg episode reward: [(0, '462.850')] +[2026-06-04 14:48:19,930][646750] Saving new best policy, reward=462.850! +[2026-06-04 14:48:24,925][645820] Fps is (10 sec: 7372.8, 60 sec: 8738.1, 300 sec: 8664.1). Total num frames: 3473408. Throughput: 0: 9034.0. Samples: 3476480. Policy #0 lag: (min: 3.0, avg: 6.8, max: 67.0) +[2026-06-04 14:48:24,926][645820] Avg episode reward: [(0, '446.750')] +[2026-06-04 14:48:25,462][646832] Updated weights for policy 0, policy_version 6832 (0.0011) +[2026-06-04 14:48:29,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8719.6). Total num frames: 3538944. Throughput: 0: 9113.6. Samples: 3531776. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-04 14:48:29,926][645820] Avg episode reward: [(0, '463.000')] +[2026-06-04 14:48:29,930][646750] Saving new best policy, reward=463.000! +[2026-06-04 14:48:32,565][646832] Updated weights for policy 0, policy_version 6928 (0.0010) +[2026-06-04 14:48:34,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9011.2, 300 sec: 8664.1). Total num frames: 3571712. Throughput: 0: 9068.1. Samples: 3584512. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 14:48:34,926][645820] Avg episode reward: [(0, '494.150')] +[2026-06-04 14:48:34,929][646750] Saving new best policy, reward=494.150! +[2026-06-04 14:48:36,541][646832] Updated weights for policy 0, policy_version 7024 (0.0011) +[2026-06-04 14:48:39,925][645820] Fps is (10 sec: 8192.0, 60 sec: 9011.2, 300 sec: 8719.6). Total num frames: 3620864. Throughput: 0: 9045.3. Samples: 3610624. Policy #0 lag: (min: 12.0, avg: 16.4, max: 76.0) +[2026-06-04 14:48:39,926][645820] Avg episode reward: [(0, '471.650')] +[2026-06-04 14:48:40,198][646832] Updated weights for policy 0, policy_version 7104 (0.0011) +[2026-06-04 14:48:44,925][645820] Fps is (10 sec: 9830.3, 60 sec: 9284.3, 300 sec: 8775.2). Total num frames: 3670016. Throughput: 0: 9170.5. Samples: 3668480. Policy #0 lag: (min: 12.0, avg: 16.4, max: 76.0) +[2026-06-04 14:48:44,926][645820] Avg episode reward: [(0, '499.950')] +[2026-06-04 14:48:44,930][646750] Saving new best policy, reward=499.950! +[2026-06-04 14:48:47,167][646832] Updated weights for policy 0, policy_version 7220 (0.0011) +[2026-06-04 14:48:49,925][645820] Fps is (10 sec: 8192.0, 60 sec: 8738.1, 300 sec: 8664.1). Total num frames: 3702784. Throughput: 0: 9147.7. Samples: 3722240. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 14:48:49,926][645820] Avg episode reward: [(0, '527.950')] +[2026-06-04 14:48:49,930][646750] Saving new best policy, reward=527.950! +[2026-06-04 14:48:54,160][646832] Updated weights for policy 0, policy_version 7328 (0.0009) +[2026-06-04 14:48:54,925][645820] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 8775.2). Total num frames: 3768320. Throughput: 0: 9136.4. Samples: 3748864. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0) +[2026-06-04 14:48:54,926][645820] Avg episode reward: [(0, '578.400')] +[2026-06-04 14:48:54,930][646750] Saving new best policy, reward=578.400! +[2026-06-04 14:48:57,957][646832] Updated weights for policy 0, policy_version 7418 (0.0010) +[2026-06-04 14:48:59,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8775.2). Total num frames: 3801088. Throughput: 0: 9125.0. Samples: 3804160. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0) +[2026-06-04 14:48:59,926][645820] Avg episode reward: [(0, '587.800')] +[2026-06-04 14:48:59,930][646750] Saving new best policy, reward=587.800! +[2026-06-04 14:49:01,287][646750] Signal inference workers to stop experience collection... (350 times) +[2026-06-04 14:49:01,315][646832] InferenceWorker_p0-w0: stopping experience collection (350 times) +[2026-06-04 14:49:01,395][646750] Signal inference workers to resume experience collection... (350 times) +[2026-06-04 14:49:01,395][646832] InferenceWorker_p0-w0: resuming experience collection (350 times) +[2026-06-04 14:49:04,569][646832] Updated weights for policy 0, policy_version 7504 (0.0007) +[2026-06-04 14:49:04,925][645820] Fps is (10 sec: 9011.2, 60 sec: 9147.7, 300 sec: 8802.9). Total num frames: 3858432. Throughput: 0: 9159.1. Samples: 3862016. Policy #0 lag: (min: 11.0, avg: 13.8, max: 75.0) +[2026-06-04 14:49:04,926][645820] Avg episode reward: [(0, '614.600')] +[2026-06-04 14:49:04,989][646750] Saving new best policy, reward=614.600! +[2026-06-04 14:49:08,391][646832] Updated weights for policy 0, policy_version 7610 (0.0011) +[2026-06-04 14:49:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8775.2). Total num frames: 3899392. Throughput: 0: 9204.6. Samples: 3890688. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:49:09,926][645820] Avg episode reward: [(0, '662.600')] +[2026-06-04 14:49:09,930][646750] Saving new best policy, reward=662.600! +[2026-06-04 14:49:14,925][645820] Fps is (10 sec: 7372.8, 60 sec: 8874.7, 300 sec: 8775.2). Total num frames: 3932160. Throughput: 0: 9193.2. Samples: 3945472. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:49:14,926][645820] Avg episode reward: [(0, '673.100')] +[2026-06-04 14:49:15,074][646750] Saving new best policy, reward=673.100! +[2026-06-04 14:49:15,205][646832] Updated weights for policy 0, policy_version 7728 (0.0011) +[2026-06-04 14:49:18,843][646832] Updated weights for policy 0, policy_version 7808 (0.0010) +[2026-06-04 14:49:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8886.2). Total num frames: 3997696. Throughput: 0: 9284.3. Samples: 4002304. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-04 14:49:19,926][645820] Avg episode reward: [(0, '668.550')] +[2026-06-04 14:49:24,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8775.2). Total num frames: 4030464. Throughput: 0: 9352.5. Samples: 4031488. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:49:24,926][645820] Avg episode reward: [(0, '621.700')] +[2026-06-04 14:49:25,652][646832] Updated weights for policy 0, policy_version 7920 (0.0010) +[2026-06-04 14:49:29,343][646832] Updated weights for policy 0, policy_version 8000 (0.0010) +[2026-06-04 14:49:29,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8886.2). Total num frames: 4096000. Throughput: 0: 9329.8. Samples: 4088320. Policy #0 lag: (min: 7.0, avg: 10.5, max: 71.0) +[2026-06-04 14:49:29,926][645820] Avg episode reward: [(0, '632.400')] +[2026-06-04 14:49:34,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8886.2). Total num frames: 4128768. Throughput: 0: 9329.8. Samples: 4142080. Policy #0 lag: (min: 7.0, avg: 10.5, max: 71.0) +[2026-06-04 14:49:34,926][645820] Avg episode reward: [(0, '654.900')] +[2026-06-04 14:49:36,269][646832] Updated weights for policy 0, policy_version 8119 (0.0010) +[2026-06-04 14:49:39,680][646832] Updated weights for policy 0, policy_version 8192 (0.0009) +[2026-06-04 14:49:39,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9557.3, 300 sec: 8886.2). Total num frames: 4194304. Throughput: 0: 9398.0. Samples: 4171776. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:49:39,926][645820] Avg episode reward: [(0, '758.150')] +[2026-06-04 14:49:39,930][646750] Saving new best policy, reward=758.150! +[2026-06-04 14:49:44,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8886.2). Total num frames: 4227072. Throughput: 0: 9443.6. Samples: 4229120. Policy #0 lag: (min: 40.0, avg: 44.2, max: 104.0) +[2026-06-04 14:49:44,926][645820] Avg episode reward: [(0, '797.000')] +[2026-06-04 14:49:44,929][646750] Saving new best policy, reward=797.000! +[2026-06-04 14:49:46,334][646832] Updated weights for policy 0, policy_version 8308 (0.0011) +[2026-06-04 14:49:49,925][645820] Fps is (10 sec: 9011.2, 60 sec: 9693.9, 300 sec: 8969.5). Total num frames: 4284416. Throughput: 0: 9466.3. Samples: 4288000. Policy #0 lag: (min: 40.0, avg: 44.2, max: 104.0) +[2026-06-04 14:49:49,926][645820] Avg episode reward: [(0, '793.250')] +[2026-06-04 14:49:50,072][646832] Updated weights for policy 0, policy_version 8384 (0.0010) +[2026-06-04 14:49:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8969.5). Total num frames: 4325376. Throughput: 0: 9432.2. Samples: 4315136. Policy #0 lag: (min: 63.0, avg: 65.8, max: 127.0) +[2026-06-04 14:49:54,926][645820] Avg episode reward: [(0, '750.500')] +[2026-06-04 14:49:56,745][646832] Updated weights for policy 0, policy_version 8496 (0.0010) +[2026-06-04 14:49:59,925][645820] Fps is (10 sec: 7372.8, 60 sec: 9284.3, 300 sec: 8886.2). Total num frames: 4358144. Throughput: 0: 9477.7. Samples: 4371968. Policy #0 lag: (min: 63.0, avg: 65.8, max: 127.0) +[2026-06-04 14:49:59,926][645820] Avg episode reward: [(0, '791.600')] +[2026-06-04 14:49:59,984][646750] Signal inference workers to stop experience collection... (400 times) +[2026-06-04 14:50:00,014][646832] InferenceWorker_p0-w0: stopping experience collection (400 times) +[2026-06-04 14:50:00,094][646750] Signal inference workers to resume experience collection... (400 times) +[2026-06-04 14:50:00,095][646832] InferenceWorker_p0-w0: resuming experience collection (400 times) +[2026-06-04 14:50:03,388][646832] Updated weights for policy 0, policy_version 8592 (0.0011) +[2026-06-04 14:50:04,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9420.8, 300 sec: 8997.3). Total num frames: 4423680. Throughput: 0: 9477.7. Samples: 4428800. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-04 14:50:04,926][645820] Avg episode reward: [(0, '847.250')] +[2026-06-04 14:50:04,929][646750] Saving new best policy, reward=847.250! +[2026-06-04 14:50:06,940][646832] Updated weights for policy 0, policy_version 8692 (0.0011) +[2026-06-04 14:50:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8997.3). Total num frames: 4456448. Throughput: 0: 9511.8. Samples: 4459520. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-04 14:50:09,926][645820] Avg episode reward: [(0, '905.200')] +[2026-06-04 14:50:10,105][646750] Saving new best policy, reward=905.200! +[2026-06-04 14:50:10,448][646832] Updated weights for policy 0, policy_version 8768 (0.0014) +[2026-06-04 14:50:14,925][645820] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 8997.3). Total num frames: 4521984. Throughput: 0: 9568.7. Samples: 4518912. Policy #0 lag: (min: 9.0, avg: 12.3, max: 73.0) +[2026-06-04 14:50:14,926][645820] Avg episode reward: [(0, '893.150')] +[2026-06-04 14:50:17,162][646832] Updated weights for policy 0, policy_version 8880 (0.0013) +[2026-06-04 14:50:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8997.3). Total num frames: 4554752. Throughput: 0: 9602.8. Samples: 4574208. Policy #0 lag: (min: 63.0, avg: 65.7, max: 127.0) +[2026-06-04 14:50:19,926][645820] Avg episode reward: [(0, '878.100')] +[2026-06-04 14:50:20,759][646832] Updated weights for policy 0, policy_version 8960 (0.0014) +[2026-06-04 14:50:24,925][645820] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9108.4). Total num frames: 4620288. Throughput: 0: 9602.8. Samples: 4603904. Policy #0 lag: (min: 63.0, avg: 65.7, max: 127.0) +[2026-06-04 14:50:24,926][645820] Avg episode reward: [(0, '844.050')] +[2026-06-04 14:50:27,317][646832] Updated weights for policy 0, policy_version 9072 (0.0013) +[2026-06-04 14:50:29,925][645820] Fps is (10 sec: 9830.3, 60 sec: 9284.3, 300 sec: 8997.3). Total num frames: 4653056. Throughput: 0: 9591.5. Samples: 4660736. Policy #0 lag: (min: 7.0, avg: 9.8, max: 71.0) +[2026-06-04 14:50:29,926][645820] Avg episode reward: [(0, '904.650')] +[2026-06-04 14:50:30,977][646832] Updated weights for policy 0, policy_version 9140 (0.0016) +[2026-06-04 14:50:34,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9108.4). Total num frames: 4718592. Throughput: 0: 9580.1. Samples: 4719104. Policy #0 lag: (min: 7.0, avg: 9.8, max: 71.0) +[2026-06-04 14:50:34,926][645820] Avg episode reward: [(0, '1009.600')] +[2026-06-04 14:50:34,929][646750] Saving new best policy, reward=1009.600! +[2026-06-04 14:50:37,529][646832] Updated weights for policy 0, policy_version 9248 (0.0010) +[2026-06-04 14:50:39,925][645820] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 9108.4). Total num frames: 4751360. Throughput: 0: 9637.0. Samples: 4748800. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:50:39,926][645820] Avg episode reward: [(0, '1072.600')] +[2026-06-04 14:50:39,930][646750] Saving new best policy, reward=1072.600! +[2026-06-04 14:50:41,352][646832] Updated weights for policy 0, policy_version 9344 (0.0010) +[2026-06-04 14:50:44,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9136.2). Total num frames: 4816896. Throughput: 0: 9591.5. Samples: 4803584. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:50:44,926][645820] Avg episode reward: [(0, '1129.650')] +[2026-06-04 14:50:44,930][646750] Saving new best policy, reward=1129.650! +[2026-06-04 14:50:47,900][646832] Updated weights for policy 0, policy_version 9456 (0.0011) +[2026-06-04 14:50:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9420.8, 300 sec: 9108.4). Total num frames: 4849664. Throughput: 0: 9625.6. Samples: 4861952. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 14:50:49,926][645820] Avg episode reward: [(0, '1227.100')] +[2026-06-04 14:50:49,930][646750] Saving new best policy, reward=1227.100! +[2026-06-04 14:50:54,420][646832] Updated weights for policy 0, policy_version 9552 (0.0010) +[2026-06-04 14:50:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9219.5). Total num frames: 4915200. Throughput: 0: 9591.5. Samples: 4891136. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 14:50:54,926][645820] Avg episode reward: [(0, '1264.950')] +[2026-06-04 14:50:54,929][646750] Saving new best policy, reward=1264.950! +[2026-06-04 14:50:57,751][646750] Signal inference workers to stop experience collection... (450 times) +[2026-06-04 14:50:57,778][646832] InferenceWorker_p0-w0: stopping experience collection (450 times) +[2026-06-04 14:50:57,892][646750] Signal inference workers to resume experience collection... (450 times) +[2026-06-04 14:50:57,893][646832] InferenceWorker_p0-w0: resuming experience collection (450 times) +[2026-06-04 14:50:58,181][646832] Updated weights for policy 0, policy_version 9652 (0.0010) +[2026-06-04 14:50:59,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9191.7). Total num frames: 4947968. Throughput: 0: 9568.7. Samples: 4949504. Policy #0 lag: (min: 1.0, avg: 3.7, max: 65.0) +[2026-06-04 14:50:59,926][645820] Avg episode reward: [(0, '1362.800')] +[2026-06-04 14:50:59,930][646750] Saving new best policy, reward=1362.800! +[2026-06-04 14:51:04,925][645820] Fps is (10 sec: 7372.9, 60 sec: 9420.8, 300 sec: 9136.2). Total num frames: 4988928. Throughput: 0: 9602.9. Samples: 5006336. Policy #0 lag: (min: 1.0, avg: 3.7, max: 65.0) +[2026-06-04 14:51:04,926][645820] Avg episode reward: [(0, '1343.000')] +[2026-06-04 14:51:04,929][646832] Updated weights for policy 0, policy_version 9760 (0.0011) +[2026-06-04 14:51:08,516][646832] Updated weights for policy 0, policy_version 9851 (0.0010) +[2026-06-04 14:51:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9219.5). Total num frames: 5046272. Throughput: 0: 9591.5. Samples: 5035520. Policy #0 lag: (min: 2.0, avg: 4.8, max: 66.0) +[2026-06-04 14:51:09,926][645820] Avg episode reward: [(0, '1247.150')] +[2026-06-04 14:51:14,925][645820] Fps is (10 sec: 9011.2, 60 sec: 9284.3, 300 sec: 9163.9). Total num frames: 5079040. Throughput: 0: 9602.9. Samples: 5092864. Policy #0 lag: (min: 2.0, avg: 4.8, max: 66.0) +[2026-06-04 14:51:14,926][645820] Avg episode reward: [(0, '1276.350')] +[2026-06-04 14:51:15,177][646832] Updated weights for policy 0, policy_version 9968 (0.0011) +[2026-06-04 14:51:18,806][646832] Updated weights for policy 0, policy_version 10048 (0.0011) +[2026-06-04 14:51:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9219.5). Total num frames: 5144576. Throughput: 0: 9580.1. Samples: 5150208. Policy #0 lag: (min: 13.0, avg: 15.6, max: 77.0) +[2026-06-04 14:51:19,926][645820] Avg episode reward: [(0, '1226.850')] +[2026-06-04 14:51:24,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9219.5). Total num frames: 5177344. Throughput: 0: 9557.3. Samples: 5178880. Policy #0 lag: (min: 13.0, avg: 15.6, max: 77.0) +[2026-06-04 14:51:24,926][645820] Avg episode reward: [(0, '1296.950')] +[2026-06-04 14:51:25,471][646832] Updated weights for policy 0, policy_version 10164 (0.0010) +[2026-06-04 14:51:28,988][646832] Updated weights for policy 0, policy_version 10237 (0.0011) +[2026-06-04 14:51:29,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9247.2). Total num frames: 5242880. Throughput: 0: 9648.3. Samples: 5237760. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:51:29,926][645820] Avg episode reward: [(0, '1337.850')] +[2026-06-04 14:51:29,931][646750] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed13/checkpoint_p0/checkpoint_000010240_5242880.pth... +[2026-06-04 14:51:34,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9219.5). Total num frames: 5275648. Throughput: 0: 9671.1. Samples: 5297152. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:51:34,926][645820] Avg episode reward: [(0, '1442.800')] +[2026-06-04 14:51:34,929][646750] Saving new best policy, reward=1442.800! +[2026-06-04 14:51:35,405][646832] Updated weights for policy 0, policy_version 10352 (0.0011) +[2026-06-04 14:51:39,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9330.5). Total num frames: 5341184. Throughput: 0: 9659.7. Samples: 5325824. Policy #0 lag: (min: 0.0, avg: 2.7, max: 64.0) +[2026-06-04 14:51:39,926][645820] Avg episode reward: [(0, '1541.100')] +[2026-06-04 14:51:39,930][646750] Saving new best policy, reward=1541.100! +[2026-06-04 14:51:42,045][646832] Updated weights for policy 0, policy_version 10464 (0.0011) +[2026-06-04 14:51:44,925][645820] Fps is (10 sec: 9830.3, 60 sec: 9284.3, 300 sec: 9302.8). Total num frames: 5373952. Throughput: 0: 9659.7. Samples: 5384192. Policy #0 lag: (min: 0.0, avg: 2.7, max: 64.0) +[2026-06-04 14:51:44,926][645820] Avg episode reward: [(0, '1547.750')] +[2026-06-04 14:51:44,930][646750] Saving new best policy, reward=1547.750! +[2026-06-04 14:51:45,681][646832] Updated weights for policy 0, policy_version 10560 (0.0010) +[2026-06-04 14:51:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9330.5). Total num frames: 5439488. Throughput: 0: 9705.2. Samples: 5443072. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:51:49,926][645820] Avg episode reward: [(0, '1555.150')] +[2026-06-04 14:51:49,930][646750] Saving new best policy, reward=1555.150! +[2026-06-04 14:51:52,073][646750] Signal inference workers to stop experience collection... (500 times) +[2026-06-04 14:51:52,102][646832] InferenceWorker_p0-w0: stopping experience collection (500 times) +[2026-06-04 14:51:52,182][646750] Signal inference workers to resume experience collection... (500 times) +[2026-06-04 14:51:52,183][646832] InferenceWorker_p0-w0: resuming experience collection (500 times) +[2026-06-04 14:51:52,184][646832] Updated weights for policy 0, policy_version 10672 (0.0010) +[2026-06-04 14:51:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9330.5). Total num frames: 5472256. Throughput: 0: 9716.6. Samples: 5472768. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:51:54,926][645820] Avg episode reward: [(0, '1577.400')] +[2026-06-04 14:51:54,930][646750] Saving new best policy, reward=1577.400! +[2026-06-04 14:51:58,729][646832] Updated weights for policy 0, policy_version 10768 (0.0010) +[2026-06-04 14:51:59,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 5537792. Throughput: 0: 9750.8. Samples: 5531648. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-04 14:51:59,926][645820] Avg episode reward: [(0, '1542.350')] +[2026-06-04 14:52:02,351][646832] Updated weights for policy 0, policy_version 10874 (0.0010) +[2026-06-04 14:52:04,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9693.9, 300 sec: 9330.5). Total num frames: 5570560. Throughput: 0: 9784.9. Samples: 5590528. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-04 14:52:04,926][645820] Avg episode reward: [(0, '1572.450')] +[2026-06-04 14:52:05,754][646832] Updated weights for policy 0, policy_version 10944 (0.0010) +[2026-06-04 14:52:09,925][645820] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 5636096. Throughput: 0: 9830.4. Samples: 5621248. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 14:52:09,926][645820] Avg episode reward: [(0, '1622.600')] +[2026-06-04 14:52:09,929][646750] Saving new best policy, reward=1622.600! +[2026-06-04 14:52:11,734][646832] Updated weights for policy 0, policy_version 11024 (0.0011) +[2026-06-04 14:52:14,925][645820] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9386.1). Total num frames: 5668864. Throughput: 0: 9864.5. Samples: 5681664. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 14:52:14,926][645820] Avg episode reward: [(0, '1610.950')] +[2026-06-04 14:52:15,365][646832] Updated weights for policy 0, policy_version 11129 (0.0010) +[2026-06-04 14:52:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 5734400. Throughput: 0: 9853.1. Samples: 5740544. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-04 14:52:19,926][645820] Avg episode reward: [(0, '1610.150')] +[2026-06-04 14:52:21,710][646832] Updated weights for policy 0, policy_version 11232 (0.0010) +[2026-06-04 14:52:24,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 5767168. Throughput: 0: 9864.5. Samples: 5769728. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-04 14:52:24,926][645820] Avg episode reward: [(0, '1796.850')] +[2026-06-04 14:52:25,064][646750] Saving new best policy, reward=1796.850! +[2026-06-04 14:52:25,389][646832] Updated weights for policy 0, policy_version 11328 (0.0010) +[2026-06-04 14:52:29,925][645820] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9497.2). Total num frames: 5832704. Throughput: 0: 9944.2. Samples: 5831680. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 14:52:29,926][645820] Avg episode reward: [(0, '1837.650')] +[2026-06-04 14:52:29,931][646750] Saving new best policy, reward=1837.650! +[2026-06-04 14:52:31,781][646832] Updated weights for policy 0, policy_version 11445 (0.0011) +[2026-06-04 14:52:34,925][645820] Fps is (10 sec: 11468.9, 60 sec: 10103.5, 300 sec: 9497.2). Total num frames: 5881856. Throughput: 0: 9978.3. Samples: 5892096. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 14:52:34,926][645820] Avg episode reward: [(0, '1990.300')] +[2026-06-04 14:52:35,118][646750] Saving new best policy, reward=1990.300! +[2026-06-04 14:52:35,152][646832] Updated weights for policy 0, policy_version 11520 (0.0010) +[2026-06-04 14:52:39,925][645820] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 5931008. Throughput: 0: 9978.3. Samples: 5921792. Policy #0 lag: (min: 9.0, avg: 12.2, max: 73.0) +[2026-06-04 14:52:39,926][645820] Avg episode reward: [(0, '2048.050')] +[2026-06-04 14:52:39,930][646750] Saving new best policy, reward=2048.050! +[2026-06-04 14:52:41,370][646832] Updated weights for policy 0, policy_version 11632 (0.0010) +[2026-06-04 14:52:44,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10240.0, 300 sec: 9524.9). Total num frames: 5988352. Throughput: 0: 9989.7. Samples: 5981184. Policy #0 lag: (min: 9.0, avg: 12.2, max: 73.0) +[2026-06-04 14:52:44,926][645820] Avg episode reward: [(0, '1941.400')] +[2026-06-04 14:52:44,948][646832] Updated weights for policy 0, policy_version 11703 (0.0010) +[2026-06-04 14:52:47,854][646750] Signal inference workers to stop experience collection... (550 times) +[2026-06-04 14:52:47,883][646832] InferenceWorker_p0-w0: stopping experience collection (550 times) +[2026-06-04 14:52:47,963][646750] Signal inference workers to resume experience collection... (550 times) +[2026-06-04 14:52:47,964][646832] InferenceWorker_p0-w0: resuming experience collection (550 times) +[2026-06-04 14:52:48,276][646832] Updated weights for policy 0, policy_version 11776 (0.0010) +[2026-06-04 14:52:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 6029312. Throughput: 0: 10023.8. Samples: 6041600. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 14:52:49,926][645820] Avg episode reward: [(0, '2009.600')] +[2026-06-04 14:52:54,663][646832] Updated weights for policy 0, policy_version 11888 (0.0011) +[2026-06-04 14:52:54,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10376.5, 300 sec: 9663.8). Total num frames: 6094848. Throughput: 0: 9967.0. Samples: 6069760. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 14:52:54,926][645820] Avg episode reward: [(0, '2009.150')] +[2026-06-04 14:52:58,146][646832] Updated weights for policy 0, policy_version 11956 (0.0010) +[2026-06-04 14:52:59,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 6127616. Throughput: 0: 9944.2. Samples: 6129152. Policy #0 lag: (min: 12.0, avg: 14.9, max: 76.0) +[2026-06-04 14:52:59,926][645820] Avg episode reward: [(0, '2020.300')] +[2026-06-04 14:53:04,383][646832] Updated weights for policy 0, policy_version 12048 (0.0011) +[2026-06-04 14:53:04,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9663.8). Total num frames: 6193152. Throughput: 0: 9989.7. Samples: 6190080. Policy #0 lag: (min: 12.0, avg: 14.9, max: 76.0) +[2026-06-04 14:53:04,926][645820] Avg episode reward: [(0, '2085.850')] +[2026-06-04 14:53:04,929][646750] Saving new best policy, reward=2085.850! +[2026-06-04 14:53:07,793][646832] Updated weights for policy 0, policy_version 12144 (0.0010) +[2026-06-04 14:53:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9580.5). Total num frames: 6225920. Throughput: 0: 10035.2. Samples: 6221312. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 14:53:09,926][645820] Avg episode reward: [(0, '2146.850')] +[2026-06-04 14:53:09,929][646750] Saving new best policy, reward=2146.850! +[2026-06-04 14:53:11,149][646832] Updated weights for policy 0, policy_version 12224 (0.0010) +[2026-06-04 14:53:14,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9663.8). Total num frames: 6291456. Throughput: 0: 10023.8. Samples: 6282752. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 14:53:14,926][645820] Avg episode reward: [(0, '2232.600')] +[2026-06-04 14:53:14,929][646750] Saving new best policy, reward=2232.600! +[2026-06-04 14:53:17,361][646832] Updated weights for policy 0, policy_version 12336 (0.0010) +[2026-06-04 14:53:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 6324224. Throughput: 0: 10057.9. Samples: 6344704. Policy #0 lag: (min: 0.0, avg: 3.7, max: 64.0) +[2026-06-04 14:53:19,926][645820] Avg episode reward: [(0, '2350.800')] +[2026-06-04 14:53:19,930][646750] Saving new best policy, reward=2350.800! +[2026-06-04 14:53:20,759][646832] Updated weights for policy 0, policy_version 12416 (0.0011) +[2026-06-04 14:53:24,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9663.8). Total num frames: 6389760. Throughput: 0: 10046.6. Samples: 6373888. Policy #0 lag: (min: 0.0, avg: 3.7, max: 64.0) +[2026-06-04 14:53:24,926][645820] Avg episode reward: [(0, '2415.550')] +[2026-06-04 14:53:24,930][646750] Saving new best policy, reward=2415.550! +[2026-06-04 14:53:27,058][646832] Updated weights for policy 0, policy_version 12514 (0.0010) +[2026-06-04 14:53:29,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 6422528. Throughput: 0: 10046.6. Samples: 6433280. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 14:53:29,926][645820] Avg episode reward: [(0, '2413.900')] +[2026-06-04 14:53:30,581][646832] Updated weights for policy 0, policy_version 12603 (0.0010) +[2026-06-04 14:53:34,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10103.5, 300 sec: 9719.3). Total num frames: 6488064. Throughput: 0: 10023.8. Samples: 6492672. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 14:53:34,926][645820] Avg episode reward: [(0, '2471.700')] +[2026-06-04 14:53:34,929][646750] Saving new best policy, reward=2471.700! +[2026-06-04 14:53:36,761][646832] Updated weights for policy 0, policy_version 12688 (0.0011) +[2026-06-04 14:53:39,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 6520832. Throughput: 0: 10069.3. Samples: 6522880. Policy #0 lag: (min: 5.0, avg: 8.5, max: 69.0) +[2026-06-04 14:53:39,926][645820] Avg episode reward: [(0, '2377.900')] +[2026-06-04 14:53:40,311][646832] Updated weights for policy 0, policy_version 12795 (0.0010) +[2026-06-04 14:53:43,238][646750] Signal inference workers to stop experience collection... (600 times) +[2026-06-04 14:53:43,266][646832] InferenceWorker_p0-w0: stopping experience collection (600 times) +[2026-06-04 14:53:43,371][646750] Signal inference workers to resume experience collection... (600 times) +[2026-06-04 14:53:43,372][646832] InferenceWorker_p0-w0: resuming experience collection (600 times) +[2026-06-04 14:53:44,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9966.9, 300 sec: 9774.9). Total num frames: 6586368. Throughput: 0: 10103.5. Samples: 6583808. Policy #0 lag: (min: 5.0, avg: 8.5, max: 69.0) +[2026-06-04 14:53:44,926][645820] Avg episode reward: [(0, '2449.050')] +[2026-06-04 14:53:46,836][646832] Updated weights for policy 0, policy_version 12896 (0.0011) +[2026-06-04 14:53:49,925][645820] Fps is (10 sec: 10649.7, 60 sec: 9966.9, 300 sec: 9691.6). Total num frames: 6627328. Throughput: 0: 10058.0. Samples: 6642688. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:53:49,926][645820] Avg episode reward: [(0, '2531.150')] +[2026-06-04 14:53:50,142][646750] Saving new best policy, reward=2531.150! +[2026-06-04 14:53:50,245][646832] Updated weights for policy 0, policy_version 12981 (0.0010) +[2026-06-04 14:53:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 6684672. Throughput: 0: 10069.3. Samples: 6674432. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:53:54,926][645820] Avg episode reward: [(0, '2519.800')] +[2026-06-04 14:53:56,228][646832] Updated weights for policy 0, policy_version 13057 (0.0009) +[2026-06-04 14:53:59,683][646832] Updated weights for policy 0, policy_version 13168 (0.0007) +[2026-06-04 14:53:59,925][645820] Fps is (10 sec: 12288.0, 60 sec: 10376.5, 300 sec: 9802.6). Total num frames: 6750208. Throughput: 0: 10035.2. Samples: 6734336. Policy #0 lag: (min: 31.0, avg: 34.4, max: 95.0) +[2026-06-04 14:53:59,926][645820] Avg episode reward: [(0, '2588.350')] +[2026-06-04 14:53:59,930][646750] Saving new best policy, reward=2588.350! +[2026-06-04 14:54:02,992][646832] Updated weights for policy 0, policy_version 13248 (0.0011) +[2026-06-04 14:54:04,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 6782976. Throughput: 0: 10080.7. Samples: 6798336. Policy #0 lag: (min: 31.0, avg: 34.4, max: 95.0) +[2026-06-04 14:54:04,926][645820] Avg episode reward: [(0, '2614.450')] +[2026-06-04 14:54:04,929][646750] Saving new best policy, reward=2614.450! +[2026-06-04 14:54:09,275][646832] Updated weights for policy 0, policy_version 13360 (0.0011) +[2026-06-04 14:54:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9885.9). Total num frames: 6848512. Throughput: 0: 10092.1. Samples: 6828032. Policy #0 lag: (min: 13.0, avg: 16.3, max: 77.0) +[2026-06-04 14:54:09,926][645820] Avg episode reward: [(0, '2609.450')] +[2026-06-04 14:54:14,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 6881280. Throughput: 0: 10058.0. Samples: 6885888. Policy #0 lag: (min: 13.0, avg: 16.3, max: 77.0) +[2026-06-04 14:54:14,926][645820] Avg episode reward: [(0, '2574.100')] +[2026-06-04 14:54:15,633][646832] Updated weights for policy 0, policy_version 13456 (0.0011) +[2026-06-04 14:54:19,342][646832] Updated weights for policy 0, policy_version 13561 (0.0009) +[2026-06-04 14:54:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9885.9). Total num frames: 6946816. Throughput: 0: 10103.5. Samples: 6947328. Policy #0 lag: (min: 26.0, avg: 28.8, max: 90.0) +[2026-06-04 14:54:19,926][645820] Avg episode reward: [(0, '2683.200')] +[2026-06-04 14:54:19,930][646750] Saving new best policy, reward=2683.200! +[2026-06-04 14:54:24,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 6979584. Throughput: 0: 10137.6. Samples: 6979072. Policy #0 lag: (min: 26.0, avg: 28.8, max: 90.0) +[2026-06-04 14:54:24,926][645820] Avg episode reward: [(0, '2919.100')] +[2026-06-04 14:54:24,930][646750] Saving new best policy, reward=2919.100! +[2026-06-04 14:54:25,438][646832] Updated weights for policy 0, policy_version 13648 (0.0006) +[2026-06-04 14:54:28,954][646832] Updated weights for policy 0, policy_version 13745 (0.0009) +[2026-06-04 14:54:29,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 9885.9). Total num frames: 7045120. Throughput: 0: 10114.8. Samples: 7038976. Policy #0 lag: (min: 26.0, avg: 28.8, max: 90.0) +[2026-06-04 14:54:29,926][645820] Avg episode reward: [(0, '2902.750')] +[2026-06-04 14:54:34,925][645820] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 7077888. Throughput: 0: 10149.0. Samples: 7099392. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 14:54:34,926][645820] Avg episode reward: [(0, '3093.500')] +[2026-06-04 14:54:34,930][646750] Saving new best policy, reward=3093.500! +[2026-06-04 14:54:35,105][646832] Updated weights for policy 0, policy_version 13827 (0.0009) +[2026-06-04 14:54:35,328][646750] Signal inference workers to stop experience collection... (650 times) +[2026-06-04 14:54:35,357][646832] InferenceWorker_p0-w0: stopping experience collection (650 times) +[2026-06-04 14:54:35,437][646750] Signal inference workers to resume experience collection... (650 times) +[2026-06-04 14:54:35,437][646832] InferenceWorker_p0-w0: resuming experience collection (650 times) +[2026-06-04 14:54:38,673][646832] Updated weights for policy 0, policy_version 13936 (0.0010) +[2026-06-04 14:54:39,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9885.9). Total num frames: 7143424. Throughput: 0: 10103.4. Samples: 7129088. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 14:54:39,926][645820] Avg episode reward: [(0, '3223.900')] +[2026-06-04 14:54:39,930][646750] Saving new best policy, reward=3223.900! +[2026-06-04 14:54:44,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9802.6). Total num frames: 7176192. Throughput: 0: 10080.7. Samples: 7187968. Policy #0 lag: (min: 37.0, avg: 39.7, max: 101.0) +[2026-06-04 14:54:44,926][645820] Avg episode reward: [(0, '3287.050')] +[2026-06-04 14:54:45,024][646832] Updated weights for policy 0, policy_version 14032 (0.0011) +[2026-06-04 14:54:45,149][646750] Saving new best policy, reward=3287.050! +[2026-06-04 14:54:48,725][646832] Updated weights for policy 0, policy_version 14138 (0.0011) +[2026-06-04 14:54:49,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10240.0, 300 sec: 9885.9). Total num frames: 7241728. Throughput: 0: 9978.3. Samples: 7247360. Policy #0 lag: (min: 37.0, avg: 39.7, max: 101.0) +[2026-06-04 14:54:49,926][645820] Avg episode reward: [(0, '3198.700')] +[2026-06-04 14:54:54,925][645820] Fps is (10 sec: 10649.6, 60 sec: 9966.9, 300 sec: 9913.7). Total num frames: 7282688. Throughput: 0: 9978.3. Samples: 7277056. Policy #0 lag: (min: 13.0, avg: 15.8, max: 77.0) +[2026-06-04 14:54:54,926][645820] Avg episode reward: [(0, '3256.750')] +[2026-06-04 14:54:54,940][646832] Updated weights for policy 0, policy_version 14240 (0.0011) +[2026-06-04 14:54:58,497][646832] Updated weights for policy 0, policy_version 14325 (0.0009) +[2026-06-04 14:54:59,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 7340032. Throughput: 0: 10080.7. Samples: 7339520. Policy #0 lag: (min: 13.0, avg: 15.8, max: 77.0) +[2026-06-04 14:54:59,926][645820] Avg episode reward: [(0, '3124.350')] +[2026-06-04 14:55:04,390][646832] Updated weights for policy 0, policy_version 14401 (0.0010) +[2026-06-04 14:55:04,925][645820] Fps is (10 sec: 12288.0, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 7405568. Throughput: 0: 10092.1. Samples: 7401472. Policy #0 lag: (min: 13.0, avg: 15.8, max: 77.0) +[2026-06-04 14:55:04,926][645820] Avg episode reward: [(0, '3186.150')] +[2026-06-04 14:55:08,021][646832] Updated weights for policy 0, policy_version 14516 (0.0010) +[2026-06-04 14:55:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 7438336. Throughput: 0: 10058.0. Samples: 7431680. Policy #0 lag: (min: 0.0, avg: 3.7, max: 64.0) +[2026-06-04 14:55:09,926][645820] Avg episode reward: [(0, '2960.500')] +[2026-06-04 14:55:11,543][646832] Updated weights for policy 0, policy_version 14590 (0.0010) +[2026-06-04 14:55:14,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 7503872. Throughput: 0: 10023.8. Samples: 7490048. Policy #0 lag: (min: 0.0, avg: 3.7, max: 64.0) +[2026-06-04 14:55:14,926][645820] Avg episode reward: [(0, '3108.250')] +[2026-06-04 14:55:17,419][646832] Updated weights for policy 0, policy_version 14657 (0.0010) +[2026-06-04 14:55:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 7536640. Throughput: 0: 10069.3. Samples: 7552512. Policy #0 lag: (min: 0.0, avg: 3.7, max: 64.0) +[2026-06-04 14:55:19,926][645820] Avg episode reward: [(0, '3153.700')] +[2026-06-04 14:55:20,944][646832] Updated weights for policy 0, policy_version 14768 (0.0010) +[2026-06-04 14:55:24,449][646832] Updated weights for policy 0, policy_version 14848 (0.0010) +[2026-06-04 14:55:24,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 7602176. Throughput: 0: 10080.7. Samples: 7582720. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 14:55:24,926][645820] Avg episode reward: [(0, '3412.900')] +[2026-06-04 14:55:24,928][646750] Saving new best policy, reward=3412.900! +[2026-06-04 14:55:29,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 7634944. Throughput: 0: 10069.3. Samples: 7641088. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 14:55:29,926][645820] Avg episode reward: [(0, '3559.100')] +[2026-06-04 14:55:29,929][646750] Saving new best policy, reward=3559.100! +[2026-06-04 14:55:30,610][646750] Signal inference workers to stop experience collection... (700 times) +[2026-06-04 14:55:30,641][646832] InferenceWorker_p0-w0: stopping experience collection (700 times) +[2026-06-04 14:55:30,720][646750] Signal inference workers to resume experience collection... (700 times) +[2026-06-04 14:55:30,721][646832] InferenceWorker_p0-w0: resuming experience collection (700 times) +[2026-06-04 14:55:30,833][646832] Updated weights for policy 0, policy_version 14960 (0.0010) +[2026-06-04 14:55:34,243][646832] Updated weights for policy 0, policy_version 15039 (0.0010) +[2026-06-04 14:55:34,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 7700480. Throughput: 0: 10103.5. Samples: 7702016. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:55:34,926][645820] Avg episode reward: [(0, '3628.800')] +[2026-06-04 14:55:34,930][646750] Saving new best policy, reward=3628.800! +[2026-06-04 14:55:39,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 7733248. Throughput: 0: 10171.7. Samples: 7734784. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:55:39,926][645820] Avg episode reward: [(0, '3669.050')] +[2026-06-04 14:55:39,959][646832] Updated weights for policy 0, policy_version 15120 (0.0010) +[2026-06-04 14:55:40,072][646750] Saving new best policy, reward=3669.050! +[2026-06-04 14:55:43,582][646832] Updated weights for policy 0, policy_version 15220 (0.0010) +[2026-06-04 14:55:44,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 7798784. Throughput: 0: 10171.7. Samples: 7797248. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:55:44,926][645820] Avg episode reward: [(0, '3580.250')] +[2026-06-04 14:55:46,776][646832] Updated weights for policy 0, policy_version 15296 (0.0009) +[2026-06-04 14:55:49,925][645820] Fps is (10 sec: 12287.9, 60 sec: 10240.0, 300 sec: 9969.2). Total num frames: 7856128. Throughput: 0: 10194.5. Samples: 7860224. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 14:55:49,926][645820] Avg episode reward: [(0, '3467.350')] +[2026-06-04 14:55:52,740][646832] Updated weights for policy 0, policy_version 15376 (0.0005) +[2026-06-04 14:55:54,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10240.0, 300 sec: 9997.0). Total num frames: 7897088. Throughput: 0: 10205.9. Samples: 7890944. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 14:55:54,926][645820] Avg episode reward: [(0, '3390.050')] +[2026-06-04 14:55:56,058][646832] Updated weights for policy 0, policy_version 15457 (0.0006) +[2026-06-04 14:55:59,290][646832] Updated weights for policy 0, policy_version 15536 (0.0010) +[2026-06-04 14:55:59,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10376.5, 300 sec: 10080.3). Total num frames: 7962624. Throughput: 0: 10285.5. Samples: 7952896. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 14:55:59,926][645820] Avg episode reward: [(0, '3359.900')] +[2026-06-04 14:56:02,625][646832] Updated weights for policy 0, policy_version 15616 (0.0010) +[2026-06-04 14:56:04,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 7995392. Throughput: 0: 10240.0. Samples: 8013312. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 14:56:04,926][645820] Avg episode reward: [(0, '3615.400')] +[2026-06-04 14:56:08,969][646832] Updated weights for policy 0, policy_version 15712 (0.0010) +[2026-06-04 14:56:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 8060928. Throughput: 0: 10228.6. Samples: 8043008. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 14:56:09,926][645820] Avg episode reward: [(0, '3715.400')] +[2026-06-04 14:56:09,930][646750] Saving new best policy, reward=3715.400! +[2026-06-04 14:56:12,588][646832] Updated weights for policy 0, policy_version 15796 (0.0011) +[2026-06-04 14:56:14,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 8093696. Throughput: 0: 10194.5. Samples: 8099840. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 14:56:14,926][645820] Avg episode reward: [(0, '3803.750')] +[2026-06-04 14:56:14,929][646750] Saving new best policy, reward=3803.750! +[2026-06-04 14:56:16,094][646832] Updated weights for policy 0, policy_version 15872 (0.0010) +[2026-06-04 14:56:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 8159232. Throughput: 0: 10171.7. Samples: 8159744. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 14:56:19,926][645820] Avg episode reward: [(0, '4010.300')] +[2026-06-04 14:56:19,930][646750] Saving new best policy, reward=4010.300! +[2026-06-04 14:56:22,634][646832] Updated weights for policy 0, policy_version 15989 (0.0012) +[2026-06-04 14:56:24,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 8192000. Throughput: 0: 10103.5. Samples: 8189440. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 14:56:24,926][645820] Avg episode reward: [(0, '3892.050')] +[2026-06-04 14:56:25,491][646750] Signal inference workers to stop experience collection... (750 times) +[2026-06-04 14:56:25,519][646832] InferenceWorker_p0-w0: stopping experience collection (750 times) +[2026-06-04 14:56:25,628][646750] Signal inference workers to resume experience collection... (750 times) +[2026-06-04 14:56:25,628][646832] InferenceWorker_p0-w0: resuming experience collection (750 times) +[2026-06-04 14:56:26,070][646832] Updated weights for policy 0, policy_version 16064 (0.0010) +[2026-06-04 14:56:29,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 8257536. Throughput: 0: 10046.6. Samples: 8249344. Policy #0 lag: (min: 11.0, avg: 13.8, max: 75.0) +[2026-06-04 14:56:29,926][645820] Avg episode reward: [(0, '3969.200')] +[2026-06-04 14:56:32,136][646832] Updated weights for policy 0, policy_version 16160 (0.0010) +[2026-06-04 14:56:34,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 8290304. Throughput: 0: 10001.1. Samples: 8310272. Policy #0 lag: (min: 11.0, avg: 13.8, max: 75.0) +[2026-06-04 14:56:34,926][645820] Avg episode reward: [(0, '3933.500')] +[2026-06-04 14:56:35,564][646832] Updated weights for policy 0, policy_version 16244 (0.0009) +[2026-06-04 14:56:39,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 8355840. Throughput: 0: 9989.7. Samples: 8340480. Policy #0 lag: (min: 0.0, avg: 3.7, max: 64.0) +[2026-06-04 14:56:39,926][645820] Avg episode reward: [(0, '3860.950')] +[2026-06-04 14:56:41,940][646832] Updated weights for policy 0, policy_version 16352 (0.0010) +[2026-06-04 14:56:44,925][645820] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 8388608. Throughput: 0: 9944.2. Samples: 8400384. Policy #0 lag: (min: 0.0, avg: 3.7, max: 64.0) +[2026-06-04 14:56:44,926][645820] Avg episode reward: [(0, '3783.850')] +[2026-06-04 14:56:45,191][646832] Updated weights for policy 0, policy_version 16433 (0.0010) +[2026-06-04 14:56:48,542][646832] Updated weights for policy 0, policy_version 16508 (0.0012) +[2026-06-04 14:56:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9966.9, 300 sec: 10108.1). Total num frames: 8454144. Throughput: 0: 9978.3. Samples: 8462336. Policy #0 lag: (min: 0.0, avg: 3.7, max: 64.0) +[2026-06-04 14:56:49,926][645820] Avg episode reward: [(0, '3889.800')] +[2026-06-04 14:56:54,764][646832] Updated weights for policy 0, policy_version 16608 (0.0013) +[2026-06-04 14:56:54,925][645820] Fps is (10 sec: 12288.1, 60 sec: 10240.0, 300 sec: 10080.3). Total num frames: 8511488. Throughput: 0: 9989.7. Samples: 8492544. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 14:56:54,926][645820] Avg episode reward: [(0, '3763.500')] +[2026-06-04 14:56:58,154][646832] Updated weights for policy 0, policy_version 16690 (0.0010) +[2026-06-04 14:56:59,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 8552448. Throughput: 0: 10092.1. Samples: 8553984. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 14:56:59,926][645820] Avg episode reward: [(0, '3717.700')] +[2026-06-04 14:57:01,558][646832] Updated weights for policy 0, policy_version 16768 (0.0010) +[2026-06-04 14:57:04,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 8617984. Throughput: 0: 10126.2. Samples: 8615424. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 14:57:04,926][645820] Avg episode reward: [(0, '3778.800')] +[2026-06-04 14:57:07,599][646832] Updated weights for policy 0, policy_version 16848 (0.0011) +[2026-06-04 14:57:09,925][645820] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 8650752. Throughput: 0: 10149.0. Samples: 8646144. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 14:57:09,926][645820] Avg episode reward: [(0, '3664.450')] +[2026-06-04 14:57:11,076][646832] Updated weights for policy 0, policy_version 16948 (0.0011) +[2026-06-04 14:57:14,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 8716288. Throughput: 0: 10126.2. Samples: 8705024. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 14:57:14,926][645820] Avg episode reward: [(0, '3849.100')] +[2026-06-04 14:57:17,554][646832] Updated weights for policy 0, policy_version 17041 (0.0010) +[2026-06-04 14:57:17,647][646750] Signal inference workers to stop experience collection... (800 times) +[2026-06-04 14:57:17,676][646832] InferenceWorker_p0-w0: stopping experience collection (800 times) +[2026-06-04 14:57:17,759][646750] Signal inference workers to resume experience collection... (800 times) +[2026-06-04 14:57:17,759][646832] InferenceWorker_p0-w0: resuming experience collection (800 times) +[2026-06-04 14:57:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 8749056. Throughput: 0: 10092.1. Samples: 8764416. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:57:19,926][645820] Avg episode reward: [(0, '3859.000')] +[2026-06-04 14:57:20,855][646832] Updated weights for policy 0, policy_version 17121 (0.0009) +[2026-06-04 14:57:24,159][646832] Updated weights for policy 0, policy_version 17207 (0.0010) +[2026-06-04 14:57:24,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 8814592. Throughput: 0: 10126.2. Samples: 8796160. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:57:24,926][645820] Avg episode reward: [(0, '3949.400')] +[2026-06-04 14:57:29,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10052.6). Total num frames: 8847360. Throughput: 0: 10171.7. Samples: 8858112. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:57:29,926][645820] Avg episode reward: [(0, '3903.250')] +[2026-06-04 14:57:30,174][646832] Updated weights for policy 0, policy_version 17283 (0.0010) +[2026-06-04 14:57:33,485][646832] Updated weights for policy 0, policy_version 17360 (0.0010) +[2026-06-04 14:57:34,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 8912896. Throughput: 0: 10114.8. Samples: 8917504. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:57:34,926][645820] Avg episode reward: [(0, '3920.500')] +[2026-06-04 14:57:36,788][646832] Updated weights for policy 0, policy_version 17440 (0.0011) +[2026-06-04 14:57:39,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10024.8). Total num frames: 8945664. Throughput: 0: 10126.2. Samples: 8948224. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 14:57:39,926][645820] Avg episode reward: [(0, '3784.400')] +[2026-06-04 14:57:40,353][646832] Updated weights for policy 0, policy_version 17524 (0.0010) +[2026-06-04 14:57:44,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 9011200. Throughput: 0: 10160.3. Samples: 9011200. Policy #0 lag: (min: 4.0, avg: 8.0, max: 68.0) +[2026-06-04 14:57:44,926][645820] Avg episode reward: [(0, '3705.800')] +[2026-06-04 14:57:46,550][646832] Updated weights for policy 0, policy_version 17632 (0.0011) +[2026-06-04 14:57:49,925][645820] Fps is (10 sec: 12288.0, 60 sec: 10240.0, 300 sec: 10080.3). Total num frames: 9068544. Throughput: 0: 10126.2. Samples: 9071104. Policy #0 lag: (min: 4.0, avg: 8.0, max: 68.0) +[2026-06-04 14:57:49,926][645820] Avg episode reward: [(0, '3736.450')] +[2026-06-04 14:57:49,984][646832] Updated weights for policy 0, policy_version 17722 (0.0010) +[2026-06-04 14:57:53,177][646832] Updated weights for policy 0, policy_version 17791 (0.0010) +[2026-06-04 14:57:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9966.9, 300 sec: 10108.1). Total num frames: 9109504. Throughput: 0: 10137.6. Samples: 9102336. Policy #0 lag: (min: 4.0, avg: 8.0, max: 68.0) +[2026-06-04 14:57:54,926][645820] Avg episode reward: [(0, '3849.400')] +[2026-06-04 14:57:56,406][646832] Updated weights for policy 0, policy_version 17856 (0.0010) +[2026-06-04 14:57:59,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 9175040. Throughput: 0: 10194.5. Samples: 9163776. Policy #0 lag: (min: 1.0, avg: 5.2, max: 65.0) +[2026-06-04 14:57:59,926][645820] Avg episode reward: [(0, '4001.850')] +[2026-06-04 14:58:02,496][646832] Updated weights for policy 0, policy_version 17953 (0.0011) +[2026-06-04 14:58:04,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 9207808. Throughput: 0: 10240.0. Samples: 9225216. Policy #0 lag: (min: 1.0, avg: 5.2, max: 65.0) +[2026-06-04 14:58:04,926][645820] Avg episode reward: [(0, '3928.550')] +[2026-06-04 14:58:05,613][646832] Updated weights for policy 0, policy_version 18016 (0.0005) +[2026-06-04 14:58:08,895][646832] Updated weights for policy 0, policy_version 18106 (0.0008) +[2026-06-04 14:58:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 9273344. Throughput: 0: 10228.6. Samples: 9256448. Policy #0 lag: (min: 14.0, avg: 18.5, max: 78.0) +[2026-06-04 14:58:09,926][645820] Avg episode reward: [(0, '4066.950')] +[2026-06-04 14:58:09,930][646750] Saving new best policy, reward=4066.950! +[2026-06-04 14:58:11,767][646750] Signal inference workers to stop experience collection... (850 times) +[2026-06-04 14:58:11,797][646832] InferenceWorker_p0-w0: stopping experience collection (850 times) +[2026-06-04 14:58:11,904][646750] Signal inference workers to resume experience collection... (850 times) +[2026-06-04 14:58:11,905][646832] InferenceWorker_p0-w0: resuming experience collection (850 times) +[2026-06-04 14:58:14,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 9306112. Throughput: 0: 10228.6. Samples: 9318400. Policy #0 lag: (min: 14.0, avg: 18.5, max: 78.0) +[2026-06-04 14:58:14,926][645820] Avg episode reward: [(0, '4052.050')] +[2026-06-04 14:58:15,002][646832] Updated weights for policy 0, policy_version 18192 (0.0010) +[2026-06-04 14:58:18,446][646832] Updated weights for policy 0, policy_version 18288 (0.0010) +[2026-06-04 14:58:19,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 9371648. Throughput: 0: 10251.4. Samples: 9378816. Policy #0 lag: (min: 14.0, avg: 18.5, max: 78.0) +[2026-06-04 14:58:19,926][645820] Avg episode reward: [(0, '3944.850')] +[2026-06-04 14:58:21,875][646832] Updated weights for policy 0, policy_version 18366 (0.0009) +[2026-06-04 14:58:24,925][645820] Fps is (10 sec: 12288.1, 60 sec: 10240.0, 300 sec: 10191.4). Total num frames: 9428992. Throughput: 0: 10240.0. Samples: 9409024. Policy #0 lag: (min: 14.0, avg: 16.9, max: 78.0) +[2026-06-04 14:58:24,926][645820] Avg episode reward: [(0, '3953.600')] +[2026-06-04 14:58:27,810][646832] Updated weights for policy 0, policy_version 18448 (0.0010) +[2026-06-04 14:58:29,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 9469952. Throughput: 0: 10240.0. Samples: 9472000. Policy #0 lag: (min: 14.0, avg: 16.9, max: 78.0) +[2026-06-04 14:58:29,926][645820] Avg episode reward: [(0, '4209.900')] +[2026-06-04 14:58:29,930][646750] Saving new best policy, reward=4209.900! +[2026-06-04 14:58:31,108][646832] Updated weights for policy 0, policy_version 18529 (0.0010) +[2026-06-04 14:58:34,478][646832] Updated weights for policy 0, policy_version 18616 (0.0010) +[2026-06-04 14:58:34,925][645820] Fps is (10 sec: 10649.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 9535488. Throughput: 0: 10319.6. Samples: 9535488. Policy #0 lag: (min: 47.0, avg: 50.3, max: 111.0) +[2026-06-04 14:58:34,926][645820] Avg episode reward: [(0, '4184.000')] +[2026-06-04 14:58:39,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 9568256. Throughput: 0: 10331.0. Samples: 9567232. Policy #0 lag: (min: 47.0, avg: 50.3, max: 111.0) +[2026-06-04 14:58:39,926][645820] Avg episode reward: [(0, '4235.200')] +[2026-06-04 14:58:39,930][646750] Saving new best policy, reward=4235.200! +[2026-06-04 14:58:40,465][646832] Updated weights for policy 0, policy_version 18704 (0.0010) +[2026-06-04 14:58:44,019][646832] Updated weights for policy 0, policy_version 18813 (0.0011) +[2026-06-04 14:58:44,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10191.4). Total num frames: 9633792. Throughput: 0: 10331.0. Samples: 9628672. Policy #0 lag: (min: 47.0, avg: 50.3, max: 111.0) +[2026-06-04 14:58:44,926][645820] Avg episode reward: [(0, '4283.250')] +[2026-06-04 14:58:44,929][646750] Saving new best policy, reward=4283.250! +[2026-06-04 14:58:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9966.9, 300 sec: 10108.1). Total num frames: 9666560. Throughput: 0: 10296.9. Samples: 9688576. Policy #0 lag: (min: 47.0, avg: 50.3, max: 111.0) +[2026-06-04 14:58:49,926][645820] Avg episode reward: [(0, '4369.050')] +[2026-06-04 14:58:50,067][646750] Saving new best policy, reward=4369.050! +[2026-06-04 14:58:50,240][646832] Updated weights for policy 0, policy_version 18912 (0.0010) +[2026-06-04 14:58:53,712][646832] Updated weights for policy 0, policy_version 18994 (0.0010) +[2026-06-04 14:58:54,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 9732096. Throughput: 0: 10285.5. Samples: 9719296. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 14:58:54,926][645820] Avg episode reward: [(0, '4369.250')] +[2026-06-04 14:58:54,930][646750] Saving new best policy, reward=4369.250! +[2026-06-04 14:58:56,901][646832] Updated weights for policy 0, policy_version 19072 (0.0010) +[2026-06-04 14:58:59,925][645820] Fps is (10 sec: 12288.1, 60 sec: 10240.0, 300 sec: 10191.4). Total num frames: 9789440. Throughput: 0: 10262.8. Samples: 9780224. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 14:58:59,926][645820] Avg episode reward: [(0, '4286.150')] +[2026-06-04 14:59:03,034][646832] Updated weights for policy 0, policy_version 19184 (0.0010) +[2026-06-04 14:59:04,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 9830400. Throughput: 0: 10331.0. Samples: 9843712. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 14:59:04,926][645820] Avg episode reward: [(0, '4303.100')] +[2026-06-04 14:59:05,714][646750] Signal inference workers to stop experience collection... (900 times) +[2026-06-04 14:59:05,765][646832] InferenceWorker_p0-w0: stopping experience collection (900 times) +[2026-06-04 14:59:05,851][646750] Signal inference workers to resume experience collection... (900 times) +[2026-06-04 14:59:05,851][646832] InferenceWorker_p0-w0: resuming experience collection (900 times) +[2026-06-04 14:59:06,271][646832] Updated weights for policy 0, policy_version 19264 (0.0014) +[2026-06-04 14:59:09,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 9895936. Throughput: 0: 10331.0. Samples: 9873920. Policy #0 lag: (min: 10.0, avg: 13.6, max: 74.0) +[2026-06-04 14:59:09,926][645820] Avg episode reward: [(0, '4371.600')] +[2026-06-04 14:59:09,929][646750] Saving new best policy, reward=4371.600! +[2026-06-04 14:59:12,453][646832] Updated weights for policy 0, policy_version 19376 (0.0010) +[2026-06-04 14:59:14,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 9928704. Throughput: 0: 10319.6. Samples: 9936384. Policy #0 lag: (min: 10.0, avg: 13.6, max: 74.0) +[2026-06-04 14:59:14,926][645820] Avg episode reward: [(0, '4472.250')] +[2026-06-04 14:59:14,930][646750] Saving new best policy, reward=4472.250! +[2026-06-04 14:59:15,804][646832] Updated weights for policy 0, policy_version 19456 (0.0010) +[2026-06-04 14:59:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 9994240. Throughput: 0: 10262.8. Samples: 9997312. Policy #0 lag: (min: 10.0, avg: 13.6, max: 74.0) +[2026-06-04 14:59:19,926][645820] Avg episode reward: [(0, '4575.000')] +[2026-06-04 14:59:19,929][646750] Saving new best policy, reward=4575.000! +[2026-06-04 14:59:22,150][646832] Updated weights for policy 0, policy_version 19568 (0.0010) +[2026-06-04 14:59:24,925][645820] Fps is (10 sec: 9830.5, 60 sec: 9966.9, 300 sec: 10108.1). Total num frames: 10027008. Throughput: 0: 10240.0. Samples: 10028032. Policy #0 lag: (min: 4.0, avg: 7.2, max: 68.0) +[2026-06-04 14:59:24,926][645820] Avg episode reward: [(0, '4553.800')] +[2026-06-04 14:59:25,625][646832] Updated weights for policy 0, policy_version 19648 (0.0010) +[2026-06-04 14:59:29,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 10092544. Throughput: 0: 10217.2. Samples: 10088448. Policy #0 lag: (min: 4.0, avg: 7.2, max: 68.0) +[2026-06-04 14:59:29,926][645820] Avg episode reward: [(0, '4604.400')] +[2026-06-04 14:59:29,929][646750] Saving new best policy, reward=4604.400! +[2026-06-04 14:59:31,982][646832] Updated weights for policy 0, policy_version 19760 (0.0011) +[2026-06-04 14:59:34,925][645820] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 10125312. Throughput: 0: 10205.9. Samples: 10147840. Policy #0 lag: (min: 4.0, avg: 7.2, max: 68.0) +[2026-06-04 14:59:34,927][645820] Avg episode reward: [(0, '4708.750')] +[2026-06-04 14:59:34,931][646750] Saving new best policy, reward=4708.750! +[2026-06-04 14:59:38,365][646832] Updated weights for policy 0, policy_version 19856 (0.0010) +[2026-06-04 14:59:39,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 10190848. Throughput: 0: 10194.5. Samples: 10178048. Policy #0 lag: (min: 13.0, avg: 16.7, max: 77.0) +[2026-06-04 14:59:39,926][645820] Avg episode reward: [(0, '4738.500')] +[2026-06-04 14:59:39,930][646750] Saving new best policy, reward=4738.500! +[2026-06-04 14:59:42,004][646832] Updated weights for policy 0, policy_version 19963 (0.0010) +[2026-06-04 14:59:44,925][645820] Fps is (10 sec: 10649.7, 60 sec: 9966.9, 300 sec: 10135.9). Total num frames: 10231808. Throughput: 0: 10137.6. Samples: 10236416. Policy #0 lag: (min: 13.0, avg: 16.7, max: 77.0) +[2026-06-04 14:59:44,926][645820] Avg episode reward: [(0, '4803.550')] +[2026-06-04 14:59:45,130][646750] Saving new best policy, reward=4803.550! +[2026-06-04 14:59:48,112][646832] Updated weights for policy 0, policy_version 20049 (0.0010) +[2026-06-04 14:59:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10191.4). Total num frames: 10289152. Throughput: 0: 10114.8. Samples: 10298880. Policy #0 lag: (min: 13.0, avg: 16.7, max: 77.0) +[2026-06-04 14:59:49,926][645820] Avg episode reward: [(0, '4762.400')] +[2026-06-04 14:59:51,478][646832] Updated weights for policy 0, policy_version 20151 (0.0010) +[2026-06-04 14:59:54,925][645820] Fps is (10 sec: 12288.0, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 10354688. Throughput: 0: 10149.0. Samples: 10330624. Policy #0 lag: (min: 14.0, avg: 16.9, max: 78.0) +[2026-06-04 14:59:54,926][645820] Avg episode reward: [(0, '4816.900')] +[2026-06-04 14:59:54,930][646750] Saving new best policy, reward=4816.900! +[2026-06-04 14:59:57,778][646832] Updated weights for policy 0, policy_version 20242 (0.0011) +[2026-06-04 14:59:57,862][646750] Signal inference workers to stop experience collection... (950 times) +[2026-06-04 14:59:57,895][646832] InferenceWorker_p0-w0: stopping experience collection (950 times) +[2026-06-04 14:59:57,961][646750] Signal inference workers to resume experience collection... (950 times) +[2026-06-04 14:59:57,961][646832] InferenceWorker_p0-w0: resuming experience collection (950 times) +[2026-06-04 14:59:59,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9966.9, 300 sec: 10108.1). Total num frames: 10387456. Throughput: 0: 10069.3. Samples: 10389504. Policy #0 lag: (min: 14.0, avg: 16.9, max: 78.0) +[2026-06-04 14:59:59,926][645820] Avg episode reward: [(0, '4864.150')] +[2026-06-04 14:59:59,929][646750] Saving new best policy, reward=4864.150! +[2026-06-04 15:00:01,309][646832] Updated weights for policy 0, policy_version 20347 (0.0012) +[2026-06-04 15:00:04,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 10452992. Throughput: 0: 10092.1. Samples: 10451456. Policy #0 lag: (min: 14.0, avg: 16.9, max: 78.0) +[2026-06-04 15:00:04,926][645820] Avg episode reward: [(0, '4775.050')] +[2026-06-04 15:00:07,486][646832] Updated weights for policy 0, policy_version 20432 (0.0011) +[2026-06-04 15:00:09,925][645820] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 10485760. Throughput: 0: 10092.1. Samples: 10482176. Policy #0 lag: (min: 14.0, avg: 16.9, max: 78.0) +[2026-06-04 15:00:09,926][645820] Avg episode reward: [(0, '4865.550')] +[2026-06-04 15:00:09,929][646750] Saving new best policy, reward=4865.550! +[2026-06-04 15:00:11,025][646832] Updated weights for policy 0, policy_version 20528 (0.0010) +[2026-06-04 15:00:14,324][646832] Updated weights for policy 0, policy_version 20601 (0.0010) +[2026-06-04 15:00:14,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 10551296. Throughput: 0: 10069.3. Samples: 10541568. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 15:00:14,926][645820] Avg episode reward: [(0, '4910.000')] +[2026-06-04 15:00:14,930][646750] Saving new best policy, reward=4910.000! +[2026-06-04 15:00:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 10584064. Throughput: 0: 10092.1. Samples: 10601984. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 15:00:19,926][645820] Avg episode reward: [(0, '4884.950')] +[2026-06-04 15:00:20,508][646832] Updated weights for policy 0, policy_version 20688 (0.0010) +[2026-06-04 15:00:23,912][646832] Updated weights for policy 0, policy_version 20796 (0.0011) +[2026-06-04 15:00:24,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 10649600. Throughput: 0: 10092.1. Samples: 10632192. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 15:00:24,926][645820] Avg episode reward: [(0, '4872.950')] +[2026-06-04 15:00:29,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 10682368. Throughput: 0: 10137.6. Samples: 10692608. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 15:00:29,926][645820] Avg episode reward: [(0, '4877.650')] +[2026-06-04 15:00:30,207][646832] Updated weights for policy 0, policy_version 20896 (0.0011) +[2026-06-04 15:00:33,734][646832] Updated weights for policy 0, policy_version 20987 (0.0010) +[2026-06-04 15:00:34,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 10747904. Throughput: 0: 10114.9. Samples: 10754048. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 15:00:34,926][645820] Avg episode reward: [(0, '4687.850')] +[2026-06-04 15:00:39,925][645820] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 10780672. Throughput: 0: 10057.9. Samples: 10783232. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 15:00:39,926][645820] Avg episode reward: [(0, '4682.150')] +[2026-06-04 15:00:39,992][646832] Updated weights for policy 0, policy_version 21072 (0.0010) +[2026-06-04 15:00:43,571][646832] Updated weights for policy 0, policy_version 21172 (0.0011) +[2026-06-04 15:00:44,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10240.0, 300 sec: 10135.9). Total num frames: 10846208. Throughput: 0: 10126.2. Samples: 10845184. Policy #0 lag: (min: 13.0, avg: 16.8, max: 77.0) +[2026-06-04 15:00:44,926][645820] Avg episode reward: [(0, '4822.450')] +[2026-06-04 15:00:46,775][646832] Updated weights for policy 0, policy_version 21244 (0.0010) +[2026-06-04 15:00:49,925][645820] Fps is (10 sec: 12288.1, 60 sec: 10240.0, 300 sec: 10191.4). Total num frames: 10903552. Throughput: 0: 10114.8. Samples: 10906624. Policy #0 lag: (min: 13.0, avg: 16.8, max: 77.0) +[2026-06-04 15:00:49,926][645820] Avg episode reward: [(0, '4842.550')] +[2026-06-04 15:00:52,974][646750] Signal inference workers to stop experience collection... (1000 times) +[2026-06-04 15:00:52,975][646832] Updated weights for policy 0, policy_version 21328 (0.0011) +[2026-06-04 15:00:53,003][646832] InferenceWorker_p0-w0: stopping experience collection (1000 times) +[2026-06-04 15:00:53,127][646750] Signal inference workers to resume experience collection... (1000 times) +[2026-06-04 15:00:53,128][646832] InferenceWorker_p0-w0: resuming experience collection (1000 times) +[2026-06-04 15:00:54,925][645820] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 10944512. Throughput: 0: 10069.4. Samples: 10935296. Policy #0 lag: (min: 13.0, avg: 16.8, max: 77.0) +[2026-06-04 15:00:54,926][645820] Avg episode reward: [(0, '4775.000')] +[2026-06-04 15:00:56,301][646832] Updated weights for policy 0, policy_version 21424 (0.0010) +[2026-06-04 15:00:59,649][646832] Updated weights for policy 0, policy_version 21495 (0.0010) +[2026-06-04 15:00:59,925][645820] Fps is (10 sec: 10649.5, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11010048. Throughput: 0: 10126.2. Samples: 10997248. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:00:59,926][645820] Avg episode reward: [(0, '4941.900')] +[2026-06-04 15:00:59,930][646750] Saving new best policy, reward=4941.900! +[2026-06-04 15:01:02,844][646832] Updated weights for policy 0, policy_version 21568 (0.0010) +[2026-06-04 15:01:04,925][645820] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 11042816. Throughput: 0: 10194.5. Samples: 11060736. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:01:04,926][645820] Avg episode reward: [(0, '4759.300')] +[2026-06-04 15:01:08,818][646832] Updated weights for policy 0, policy_version 21665 (0.0010) +[2026-06-04 15:01:09,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11108352. Throughput: 0: 10205.9. Samples: 11091456. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:01:09,926][645820] Avg episode reward: [(0, '4659.650')] +[2026-06-04 15:01:12,229][646832] Updated weights for policy 0, policy_version 21753 (0.0008) +[2026-06-04 15:01:14,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 11141120. Throughput: 0: 10205.9. Samples: 11151872. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:01:14,926][645820] Avg episode reward: [(0, '4452.000')] +[2026-06-04 15:01:15,476][646832] Updated weights for policy 0, policy_version 21822 (0.0011) +[2026-06-04 15:01:19,925][645820] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11206656. Throughput: 0: 10251.3. Samples: 11215360. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 15:01:19,926][645820] Avg episode reward: [(0, '4593.950')] +[2026-06-04 15:01:21,320][646832] Updated weights for policy 0, policy_version 21904 (0.0010) +[2026-06-04 15:01:24,759][646832] Updated weights for policy 0, policy_version 22004 (0.0010) +[2026-06-04 15:01:24,925][645820] Fps is (10 sec: 13107.3, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11272192. Throughput: 0: 10285.5. Samples: 11246080. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 15:01:24,926][645820] Avg episode reward: [(0, '4706.000')] +[2026-06-04 15:01:28,050][646832] Updated weights for policy 0, policy_version 22078 (0.0010) +[2026-06-04 15:01:29,925][645820] Fps is (10 sec: 9830.6, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11304960. Throughput: 0: 10285.5. Samples: 11308032. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 15:01:29,926][645820] Avg episode reward: [(0, '4815.050')] +[2026-06-04 15:01:29,931][646750] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed13/checkpoint_p0/checkpoint_000022080_11304960.pth... +[2026-06-04 15:01:33,862][646832] Updated weights for policy 0, policy_version 22160 (0.0010) +[2026-06-04 15:01:34,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11370496. Throughput: 0: 10342.4. Samples: 11372032. Policy #0 lag: (min: 6.0, avg: 9.5, max: 70.0) +[2026-06-04 15:01:34,926][645820] Avg episode reward: [(0, '5019.300')] +[2026-06-04 15:01:34,930][646750] Saving new best policy, reward=5019.300! +[2026-06-04 15:01:36,966][646832] Updated weights for policy 0, policy_version 22240 (0.0009) +[2026-06-04 15:01:39,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11403264. Throughput: 0: 10422.0. Samples: 11404288. Policy #0 lag: (min: 6.0, avg: 9.5, max: 70.0) +[2026-06-04 15:01:39,926][645820] Avg episode reward: [(0, '5244.300')] +[2026-06-04 15:01:39,930][646750] Saving new best policy, reward=5244.300! +[2026-06-04 15:01:40,608][646832] Updated weights for policy 0, policy_version 22336 (0.0008) +[2026-06-04 15:01:44,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11468800. Throughput: 0: 10399.3. Samples: 11465216. Policy #0 lag: (min: 6.0, avg: 9.5, max: 70.0) +[2026-06-04 15:01:44,926][645820] Avg episode reward: [(0, '5436.400')] +[2026-06-04 15:01:44,930][646750] Saving new best policy, reward=5436.400! +[2026-06-04 15:01:46,346][646750] Signal inference workers to stop experience collection... (1050 times) +[2026-06-04 15:01:46,373][646832] InferenceWorker_p0-w0: stopping experience collection (1050 times) +[2026-06-04 15:01:46,483][646750] Signal inference workers to resume experience collection... (1050 times) +[2026-06-04 15:01:46,484][646832] InferenceWorker_p0-w0: resuming experience collection (1050 times) +[2026-06-04 15:01:46,529][646832] Updated weights for policy 0, policy_version 22418 (0.0010) +[2026-06-04 15:01:49,840][646832] Updated weights for policy 0, policy_version 22512 (0.0011) +[2026-06-04 15:01:49,925][645820] Fps is (10 sec: 12288.0, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11526144. Throughput: 0: 10399.3. Samples: 11528704. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 15:01:49,926][645820] Avg episode reward: [(0, '5387.000')] +[2026-06-04 15:01:52,885][646832] Updated weights for policy 0, policy_version 22580 (0.0010) +[2026-06-04 15:01:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11567104. Throughput: 0: 10444.8. Samples: 11561472. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 15:01:54,926][645820] Avg episode reward: [(0, '5387.350')] +[2026-06-04 15:01:58,752][646832] Updated weights for policy 0, policy_version 22688 (0.0012) +[2026-06-04 15:01:59,925][645820] Fps is (10 sec: 10649.5, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11632640. Throughput: 0: 10547.2. Samples: 11626496. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 15:01:59,926][645820] Avg episode reward: [(0, '5319.550')] +[2026-06-04 15:02:02,149][646832] Updated weights for policy 0, policy_version 22772 (0.0010) +[2026-06-04 15:02:04,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11665408. Throughput: 0: 10513.1. Samples: 11688448. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 15:02:04,926][645820] Avg episode reward: [(0, '5241.100')] +[2026-06-04 15:02:08,098][646832] Updated weights for policy 0, policy_version 22864 (0.0010) +[2026-06-04 15:02:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11730944. Throughput: 0: 10547.2. Samples: 11720704. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 15:02:09,926][645820] Avg episode reward: [(0, '5242.100')] +[2026-06-04 15:02:11,558][646832] Updated weights for policy 0, policy_version 22964 (0.0010) +[2026-06-04 15:02:14,925][645820] Fps is (10 sec: 13107.2, 60 sec: 10922.7, 300 sec: 10330.3). Total num frames: 11796480. Throughput: 0: 10535.8. Samples: 11782144. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 15:02:14,926][645820] Avg episode reward: [(0, '5314.950')] +[2026-06-04 15:02:17,614][646832] Updated weights for policy 0, policy_version 23056 (0.0010) +[2026-06-04 15:02:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 11829248. Throughput: 0: 10467.6. Samples: 11843072. Policy #0 lag: (min: 9.0, avg: 11.9, max: 73.0) +[2026-06-04 15:02:19,926][645820] Avg episode reward: [(0, '5276.550')] +[2026-06-04 15:02:21,073][646832] Updated weights for policy 0, policy_version 23152 (0.0010) +[2026-06-04 15:02:24,304][646832] Updated weights for policy 0, policy_version 23220 (0.0010) +[2026-06-04 15:02:24,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 11894784. Throughput: 0: 10433.4. Samples: 11873792. Policy #0 lag: (min: 9.0, avg: 11.9, max: 73.0) +[2026-06-04 15:02:24,926][645820] Avg episode reward: [(0, '5335.300')] +[2026-06-04 15:02:27,479][646832] Updated weights for policy 0, policy_version 23289 (0.0010) +[2026-06-04 15:02:29,926][645820] Fps is (10 sec: 9830.0, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11927552. Throughput: 0: 10467.5. Samples: 11936256. Policy #0 lag: (min: 9.0, avg: 11.9, max: 73.0) +[2026-06-04 15:02:29,926][645820] Avg episode reward: [(0, '5547.000')] +[2026-06-04 15:02:29,930][646750] Saving new best policy, reward=5547.000! +[2026-06-04 15:02:30,822][646832] Updated weights for policy 0, policy_version 23360 (0.0010) +[2026-06-04 15:02:34,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 11993088. Throughput: 0: 10444.8. Samples: 11998720. Policy #0 lag: (min: 13.0, avg: 15.9, max: 77.0) +[2026-06-04 15:02:34,927][645820] Avg episode reward: [(0, '5753.400')] +[2026-06-04 15:02:34,931][646750] Saving new best policy, reward=5753.400! +[2026-06-04 15:02:36,684][646750] Signal inference workers to stop experience collection... (1100 times) +[2026-06-04 15:02:36,685][646832] Updated weights for policy 0, policy_version 23456 (0.0010) +[2026-06-04 15:02:36,714][646832] InferenceWorker_p0-w0: stopping experience collection (1100 times) +[2026-06-04 15:02:36,794][646750] Signal inference workers to resume experience collection... (1100 times) +[2026-06-04 15:02:36,794][646832] InferenceWorker_p0-w0: resuming experience collection (1100 times) +[2026-06-04 15:02:39,925][645820] Fps is (10 sec: 11469.0, 60 sec: 10649.6, 300 sec: 10274.7). Total num frames: 12042240. Throughput: 0: 10399.2. Samples: 12029440. Policy #0 lag: (min: 13.0, avg: 15.9, max: 77.0) +[2026-06-04 15:02:39,927][645820] Avg episode reward: [(0, '5756.600')] +[2026-06-04 15:02:40,113][646832] Updated weights for policy 0, policy_version 23548 (0.0010) +[2026-06-04 15:02:40,145][646750] Saving new best policy, reward=5756.600! +[2026-06-04 15:02:44,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10246.9). Total num frames: 12091392. Throughput: 0: 10353.8. Samples: 12092416. Policy #0 lag: (min: 13.0, avg: 15.9, max: 77.0) +[2026-06-04 15:02:44,926][645820] Avg episode reward: [(0, '5752.500')] +[2026-06-04 15:02:46,065][646832] Updated weights for policy 0, policy_version 23632 (0.0010) +[2026-06-04 15:02:49,491][646832] Updated weights for policy 0, policy_version 23728 (0.0010) +[2026-06-04 15:02:49,925][645820] Fps is (10 sec: 11469.0, 60 sec: 10513.1, 300 sec: 10330.3). Total num frames: 12156928. Throughput: 0: 10376.5. Samples: 12155392. Policy #0 lag: (min: 31.0, avg: 33.9, max: 95.0) +[2026-06-04 15:02:49,926][645820] Avg episode reward: [(0, '5827.800')] +[2026-06-04 15:02:49,930][646750] Saving new best policy, reward=5827.800! +[2026-06-04 15:02:53,025][646832] Updated weights for policy 0, policy_version 23808 (0.0010) +[2026-06-04 15:02:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 12189696. Throughput: 0: 10319.6. Samples: 12185088. Policy #0 lag: (min: 31.0, avg: 33.9, max: 95.0) +[2026-06-04 15:02:54,926][645820] Avg episode reward: [(0, '5898.600')] +[2026-06-04 15:02:54,930][646750] Saving new best policy, reward=5898.600! +[2026-06-04 15:02:59,106][646832] Updated weights for policy 0, policy_version 23920 (0.0008) +[2026-06-04 15:02:59,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 12255232. Throughput: 0: 10308.3. Samples: 12246016. Policy #0 lag: (min: 31.0, avg: 33.9, max: 95.0) +[2026-06-04 15:02:59,926][645820] Avg episode reward: [(0, '5872.350')] +[2026-06-04 15:03:04,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 12288000. Throughput: 0: 10342.4. Samples: 12308480. Policy #0 lag: (min: 31.0, avg: 33.9, max: 95.0) +[2026-06-04 15:03:04,926][645820] Avg episode reward: [(0, '5932.200')] +[2026-06-04 15:03:04,928][646750] Saving new best policy, reward=5932.200! +[2026-06-04 15:03:05,121][646832] Updated weights for policy 0, policy_version 24001 (0.0010) +[2026-06-04 15:03:08,667][646832] Updated weights for policy 0, policy_version 24120 (0.0014) +[2026-06-04 15:03:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 12353536. Throughput: 0: 10353.8. Samples: 12339712. Policy #0 lag: (min: 47.0, avg: 49.8, max: 111.0) +[2026-06-04 15:03:09,926][645820] Avg episode reward: [(0, '5939.200')] +[2026-06-04 15:03:09,929][646750] Saving new best policy, reward=5939.200! +[2026-06-04 15:03:14,873][646832] Updated weights for policy 0, policy_version 24208 (0.0011) +[2026-06-04 15:03:14,925][645820] Fps is (10 sec: 10649.6, 60 sec: 9966.9, 300 sec: 10246.9). Total num frames: 12394496. Throughput: 0: 10308.4. Samples: 12400128. Policy #0 lag: (min: 47.0, avg: 49.8, max: 111.0) +[2026-06-04 15:03:14,926][645820] Avg episode reward: [(0, '5864.650')] +[2026-06-04 15:03:18,059][646832] Updated weights for policy 0, policy_version 24273 (0.0010) +[2026-06-04 15:03:19,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10246.9). Total num frames: 12451840. Throughput: 0: 10308.2. Samples: 12462592. Policy #0 lag: (min: 47.0, avg: 49.8, max: 111.0) +[2026-06-04 15:03:19,926][645820] Avg episode reward: [(0, '5917.650')] +[2026-06-04 15:03:21,567][646832] Updated weights for policy 0, policy_version 24375 (0.0011) +[2026-06-04 15:03:24,925][645820] Fps is (10 sec: 12288.0, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 12517376. Throughput: 0: 10262.8. Samples: 12491264. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 15:03:24,926][645820] Avg episode reward: [(0, '5991.600')] +[2026-06-04 15:03:24,930][646750] Saving new best policy, reward=5991.600! +[2026-06-04 15:03:27,366][646832] Updated weights for policy 0, policy_version 24464 (0.0011) +[2026-06-04 15:03:29,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 12550144. Throughput: 0: 10308.3. Samples: 12556288. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 15:03:29,926][645820] Avg episode reward: [(0, '6079.900')] +[2026-06-04 15:03:29,932][646750] Saving new best policy, reward=6079.900! +[2026-06-04 15:03:30,480][646750] Signal inference workers to stop experience collection... (1150 times) +[2026-06-04 15:03:30,510][646832] InferenceWorker_p0-w0: stopping experience collection (1150 times) +[2026-06-04 15:03:30,591][646750] Signal inference workers to resume experience collection... (1150 times) +[2026-06-04 15:03:30,591][646832] InferenceWorker_p0-w0: resuming experience collection (1150 times) +[2026-06-04 15:03:30,593][646832] Updated weights for policy 0, policy_version 24544 (0.0007) +[2026-06-04 15:03:33,995][646832] Updated weights for policy 0, policy_version 24633 (0.0007) +[2026-06-04 15:03:34,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 12615680. Throughput: 0: 10285.5. Samples: 12618240. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 15:03:34,926][645820] Avg episode reward: [(0, '6184.150')] +[2026-06-04 15:03:34,930][646750] Saving new best policy, reward=6184.150! +[2026-06-04 15:03:37,401][646832] Updated weights for policy 0, policy_version 24704 (0.0010) +[2026-06-04 15:03:39,925][645820] Fps is (10 sec: 9830.2, 60 sec: 10103.5, 300 sec: 10219.2). Total num frames: 12648448. Throughput: 0: 10319.6. Samples: 12649472. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 15:03:39,926][645820] Avg episode reward: [(0, '6177.050')] +[2026-06-04 15:03:43,495][646832] Updated weights for policy 0, policy_version 24800 (0.0010) +[2026-06-04 15:03:44,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 12713984. Throughput: 0: 10319.7. Samples: 12710400. Policy #0 lag: (min: 13.0, avg: 16.8, max: 77.0) +[2026-06-04 15:03:44,926][645820] Avg episode reward: [(0, '6239.550')] +[2026-06-04 15:03:44,929][646750] Saving new best policy, reward=6239.550! +[2026-06-04 15:03:46,820][646832] Updated weights for policy 0, policy_version 24890 (0.0011) +[2026-06-04 15:03:49,925][645820] Fps is (10 sec: 13107.5, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 12779520. Throughput: 0: 10365.1. Samples: 12774912. Policy #0 lag: (min: 13.0, avg: 16.8, max: 77.0) +[2026-06-04 15:03:49,926][645820] Avg episode reward: [(0, '6038.150')] +[2026-06-04 15:03:52,910][646832] Updated weights for policy 0, policy_version 24992 (0.0010) +[2026-06-04 15:03:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10246.9). Total num frames: 12812288. Throughput: 0: 10342.4. Samples: 12805120. Policy #0 lag: (min: 13.0, avg: 16.8, max: 77.0) +[2026-06-04 15:03:54,926][645820] Avg episode reward: [(0, '6010.800')] +[2026-06-04 15:03:56,227][646832] Updated weights for policy 0, policy_version 25074 (0.0010) +[2026-06-04 15:03:59,404][646832] Updated weights for policy 0, policy_version 25140 (0.0011) +[2026-06-04 15:03:59,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 12877824. Throughput: 0: 10376.5. Samples: 12867072. Policy #0 lag: (min: 13.0, avg: 16.8, max: 77.0) +[2026-06-04 15:03:59,926][645820] Avg episode reward: [(0, '5915.250')] +[2026-06-04 15:04:02,564][646832] Updated weights for policy 0, policy_version 25215 (0.0010) +[2026-06-04 15:04:04,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 12910592. Throughput: 0: 10376.6. Samples: 12929536. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 15:04:04,926][645820] Avg episode reward: [(0, '5949.700')] +[2026-06-04 15:04:08,622][646832] Updated weights for policy 0, policy_version 25296 (0.0013) +[2026-06-04 15:04:09,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10376.6, 300 sec: 10330.3). Total num frames: 12976128. Throughput: 0: 10410.7. Samples: 12959744. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 15:04:09,926][645820] Avg episode reward: [(0, '5991.500')] +[2026-06-04 15:04:11,990][646832] Updated weights for policy 0, policy_version 25392 (0.0013) +[2026-06-04 15:04:14,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10376.5, 300 sec: 10246.9). Total num frames: 13017088. Throughput: 0: 10353.8. Samples: 13022208. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 15:04:14,926][645820] Avg episode reward: [(0, '5879.100')] +[2026-06-04 15:04:17,914][646832] Updated weights for policy 0, policy_version 25488 (0.0011) +[2026-06-04 15:04:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10330.3). Total num frames: 13074432. Throughput: 0: 10399.3. Samples: 13086208. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 15:04:19,926][645820] Avg episode reward: [(0, '5934.450')] +[2026-06-04 15:04:21,186][646832] Updated weights for policy 0, policy_version 25584 (0.0011) +[2026-06-04 15:04:23,877][646750] Signal inference workers to stop experience collection... (1200 times) +[2026-06-04 15:04:23,903][646832] InferenceWorker_p0-w0: stopping experience collection (1200 times) +[2026-06-04 15:04:24,012][646750] Signal inference workers to resume experience collection... (1200 times) +[2026-06-04 15:04:24,013][646832] InferenceWorker_p0-w0: resuming experience collection (1200 times) +[2026-06-04 15:04:24,433][646832] Updated weights for policy 0, policy_version 25664 (0.0011) +[2026-06-04 15:04:24,925][645820] Fps is (10 sec: 12287.9, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 13139968. Throughput: 0: 10422.1. Samples: 13118464. Policy #0 lag: (min: 3.0, avg: 5.9, max: 67.0) +[2026-06-04 15:04:24,926][645820] Avg episode reward: [(0, '6089.150')] +[2026-06-04 15:04:29,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 13172736. Throughput: 0: 10456.2. Samples: 13180928. Policy #0 lag: (min: 3.0, avg: 5.9, max: 67.0) +[2026-06-04 15:04:29,926][645820] Avg episode reward: [(0, '6047.350')] +[2026-06-04 15:04:30,427][646832] Updated weights for policy 0, policy_version 25760 (0.0010) +[2026-06-04 15:04:33,853][646832] Updated weights for policy 0, policy_version 25853 (0.0010) +[2026-06-04 15:04:34,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 13238272. Throughput: 0: 10399.3. Samples: 13242880. Policy #0 lag: (min: 3.0, avg: 5.9, max: 67.0) +[2026-06-04 15:04:34,927][645820] Avg episode reward: [(0, '6102.050')] +[2026-06-04 15:04:39,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10376.6, 300 sec: 10302.5). Total num frames: 13271040. Throughput: 0: 10422.1. Samples: 13274112. Policy #0 lag: (min: 3.0, avg: 5.9, max: 67.0) +[2026-06-04 15:04:39,926][645820] Avg episode reward: [(0, '5988.150')] +[2026-06-04 15:04:39,986][646832] Updated weights for policy 0, policy_version 25936 (0.0011) +[2026-06-04 15:04:43,273][646832] Updated weights for policy 0, policy_version 26017 (0.0008) +[2026-06-04 15:04:44,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 13336576. Throughput: 0: 10444.8. Samples: 13337088. Policy #0 lag: (min: 7.0, avg: 11.5, max: 71.0) +[2026-06-04 15:04:44,926][645820] Avg episode reward: [(0, '6123.700')] +[2026-06-04 15:04:46,321][646832] Updated weights for policy 0, policy_version 26102 (0.0007) +[2026-06-04 15:04:49,925][645820] Fps is (10 sec: 13107.2, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 13402112. Throughput: 0: 10501.7. Samples: 13402112. Policy #0 lag: (min: 7.0, avg: 11.5, max: 71.0) +[2026-06-04 15:04:49,926][645820] Avg episode reward: [(0, '6155.600')] +[2026-06-04 15:04:52,323][646832] Updated weights for policy 0, policy_version 26192 (0.0011) +[2026-06-04 15:04:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 13434880. Throughput: 0: 10513.1. Samples: 13432832. Policy #0 lag: (min: 7.0, avg: 11.5, max: 71.0) +[2026-06-04 15:04:54,926][645820] Avg episode reward: [(0, '6054.350')] +[2026-06-04 15:04:55,423][646832] Updated weights for policy 0, policy_version 26257 (0.0010) +[2026-06-04 15:04:58,723][646832] Updated weights for policy 0, policy_version 26354 (0.0011) +[2026-06-04 15:04:59,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 13500416. Throughput: 0: 10535.8. Samples: 13496320. Policy #0 lag: (min: 8.0, avg: 13.0, max: 72.0) +[2026-06-04 15:04:59,926][645820] Avg episode reward: [(0, '5807.850')] +[2026-06-04 15:05:01,907][646832] Updated weights for policy 0, policy_version 26424 (0.0011) +[2026-06-04 15:05:04,925][645820] Fps is (10 sec: 11468.7, 60 sec: 10649.6, 300 sec: 10385.8). Total num frames: 13549568. Throughput: 0: 10501.7. Samples: 13558784. Policy #0 lag: (min: 8.0, avg: 13.0, max: 72.0) +[2026-06-04 15:05:04,926][645820] Avg episode reward: [(0, '6000.100')] +[2026-06-04 15:05:08,147][646832] Updated weights for policy 0, policy_version 26528 (0.0011) +[2026-06-04 15:05:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 13598720. Throughput: 0: 10456.2. Samples: 13588992. Policy #0 lag: (min: 8.0, avg: 13.0, max: 72.0) +[2026-06-04 15:05:09,926][645820] Avg episode reward: [(0, '6042.300')] +[2026-06-04 15:05:11,554][646832] Updated weights for policy 0, policy_version 26616 (0.0011) +[2026-06-04 15:05:14,437][646750] Signal inference workers to stop experience collection... (1250 times) +[2026-06-04 15:05:14,466][646832] InferenceWorker_p0-w0: stopping experience collection (1250 times) +[2026-06-04 15:05:14,551][646750] Signal inference workers to resume experience collection... (1250 times) +[2026-06-04 15:05:14,551][646832] InferenceWorker_p0-w0: resuming experience collection (1250 times) +[2026-06-04 15:05:14,795][646832] Updated weights for policy 0, policy_version 26688 (0.0009) +[2026-06-04 15:05:14,925][645820] Fps is (10 sec: 11468.9, 60 sec: 10786.1, 300 sec: 10441.3). Total num frames: 13664256. Throughput: 0: 10456.2. Samples: 13651456. Policy #0 lag: (min: 8.0, avg: 13.0, max: 72.0) +[2026-06-04 15:05:14,926][645820] Avg episode reward: [(0, '5966.500')] +[2026-06-04 15:05:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 13697024. Throughput: 0: 10422.0. Samples: 13711872. Policy #0 lag: (min: 3.0, avg: 6.9, max: 67.0) +[2026-06-04 15:05:19,926][645820] Avg episode reward: [(0, '5991.400')] +[2026-06-04 15:05:20,803][646832] Updated weights for policy 0, policy_version 26784 (0.0009) +[2026-06-04 15:05:24,141][646832] Updated weights for policy 0, policy_version 26864 (0.0011) +[2026-06-04 15:05:24,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 13762560. Throughput: 0: 10422.0. Samples: 13743104. Policy #0 lag: (min: 3.0, avg: 6.9, max: 67.0) +[2026-06-04 15:05:24,926][645820] Avg episode reward: [(0, '6151.350')] +[2026-06-04 15:05:27,343][646832] Updated weights for policy 0, policy_version 26944 (0.0008) +[2026-06-04 15:05:29,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 13795328. Throughput: 0: 10422.0. Samples: 13806080. Policy #0 lag: (min: 3.0, avg: 6.9, max: 67.0) +[2026-06-04 15:05:29,926][645820] Avg episode reward: [(0, '6257.500')] +[2026-06-04 15:05:29,930][646750] Saving new best policy, reward=6257.500! +[2026-06-04 15:05:33,319][646832] Updated weights for policy 0, policy_version 27040 (0.0010) +[2026-06-04 15:05:34,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 13860864. Throughput: 0: 10365.1. Samples: 13868544. Policy #0 lag: (min: 3.0, avg: 6.9, max: 67.0) +[2026-06-04 15:05:34,926][645820] Avg episode reward: [(0, '6398.500')] +[2026-06-04 15:05:34,930][646750] Saving new best policy, reward=6398.500! +[2026-06-04 15:05:36,542][646832] Updated weights for policy 0, policy_version 27124 (0.0011) +[2026-06-04 15:05:39,898][646832] Updated weights for policy 0, policy_version 27200 (0.0010) +[2026-06-04 15:05:39,925][645820] Fps is (10 sec: 13107.3, 60 sec: 10922.7, 300 sec: 10441.3). Total num frames: 13926400. Throughput: 0: 10410.7. Samples: 13901312. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 15:05:39,926][645820] Avg episode reward: [(0, '6468.300')] +[2026-06-04 15:05:39,929][646750] Saving new best policy, reward=6468.300! +[2026-06-04 15:05:44,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10358.0). Total num frames: 13959168. Throughput: 0: 10365.2. Samples: 13962752. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 15:05:44,926][645820] Avg episode reward: [(0, '6579.400')] +[2026-06-04 15:05:44,929][646750] Saving new best policy, reward=6579.400! +[2026-06-04 15:05:45,732][646832] Updated weights for policy 0, policy_version 27280 (0.0010) +[2026-06-04 15:05:49,090][646832] Updated weights for policy 0, policy_version 27360 (0.0011) +[2026-06-04 15:05:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 14024704. Throughput: 0: 10376.5. Samples: 14025728. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 15:05:49,927][645820] Avg episode reward: [(0, '6622.550')] +[2026-06-04 15:05:49,930][646750] Saving new best policy, reward=6622.550! +[2026-06-04 15:05:52,463][646832] Updated weights for policy 0, policy_version 27450 (0.0011) +[2026-06-04 15:05:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 14057472. Throughput: 0: 10410.7. Samples: 14057472. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 15:05:54,926][645820] Avg episode reward: [(0, '6703.050')] +[2026-06-04 15:05:54,930][646750] Saving new best policy, reward=6703.050! +[2026-06-04 15:05:58,720][646832] Updated weights for policy 0, policy_version 27568 (0.0011) +[2026-06-04 15:05:59,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 14123008. Throughput: 0: 10387.9. Samples: 14118912. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 15:05:59,926][645820] Avg episode reward: [(0, '6730.500')] +[2026-06-04 15:05:59,930][646750] Saving new best policy, reward=6730.500! +[2026-06-04 15:06:02,168][646832] Updated weights for policy 0, policy_version 27648 (0.0011) +[2026-06-04 15:06:04,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10240.0, 300 sec: 10358.0). Total num frames: 14163968. Throughput: 0: 10399.3. Samples: 14179840. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 15:06:04,926][645820] Avg episode reward: [(0, '6751.300')] +[2026-06-04 15:06:05,084][646750] Saving new best policy, reward=6751.300! +[2026-06-04 15:06:08,017][646750] Signal inference workers to stop experience collection... (1300 times) +[2026-06-04 15:06:08,048][646832] InferenceWorker_p0-w0: stopping experience collection (1300 times) +[2026-06-04 15:06:08,063][646832] Updated weights for policy 0, policy_version 27730 (0.0010) +[2026-06-04 15:06:08,154][646750] Signal inference workers to resume experience collection... (1300 times) +[2026-06-04 15:06:08,155][646832] InferenceWorker_p0-w0: resuming experience collection (1300 times) +[2026-06-04 15:06:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 14221312. Throughput: 0: 10410.7. Samples: 14211584. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 15:06:09,926][645820] Avg episode reward: [(0, '6742.200')] +[2026-06-04 15:06:11,293][646832] Updated weights for policy 0, policy_version 27824 (0.0011) +[2026-06-04 15:06:14,925][645820] Fps is (10 sec: 12287.9, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 14286848. Throughput: 0: 10422.0. Samples: 14275072. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 15:06:14,926][645820] Avg episode reward: [(0, '6918.650')] +[2026-06-04 15:06:14,930][646750] Saving new best policy, reward=6918.650! +[2026-06-04 15:06:17,715][646832] Updated weights for policy 0, policy_version 27920 (0.0010) +[2026-06-04 15:06:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 14319616. Throughput: 0: 10308.3. Samples: 14332416. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 15:06:19,926][645820] Avg episode reward: [(0, '6835.000')] +[2026-06-04 15:06:20,910][646832] Updated weights for policy 0, policy_version 28000 (0.0010) +[2026-06-04 15:06:24,182][646832] Updated weights for policy 0, policy_version 28084 (0.0010) +[2026-06-04 15:06:24,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 14385152. Throughput: 0: 10308.3. Samples: 14365184. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 15:06:24,926][645820] Avg episode reward: [(0, '6918.650')] +[2026-06-04 15:06:27,334][646832] Updated weights for policy 0, policy_version 28160 (0.0010) +[2026-06-04 15:06:29,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 14417920. Throughput: 0: 10365.2. Samples: 14429184. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 15:06:29,926][645820] Avg episode reward: [(0, '6798.800')] +[2026-06-04 15:06:33,395][646832] Updated weights for policy 0, policy_version 28272 (0.0012) +[2026-06-04 15:06:34,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 14483456. Throughput: 0: 10353.8. Samples: 14491648. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-04 15:06:34,926][645820] Avg episode reward: [(0, '6767.650')] +[2026-06-04 15:06:36,859][646832] Updated weights for policy 0, policy_version 28350 (0.0011) +[2026-06-04 15:06:39,925][645820] Fps is (10 sec: 12288.0, 60 sec: 10240.0, 300 sec: 10413.6). Total num frames: 14540800. Throughput: 0: 10308.3. Samples: 14521344. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-04 15:06:39,926][645820] Avg episode reward: [(0, '6775.700')] +[2026-06-04 15:06:42,545][646832] Updated weights for policy 0, policy_version 28432 (0.0009) +[2026-06-04 15:06:44,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10358.0). Total num frames: 14581760. Throughput: 0: 10353.8. Samples: 14584832. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-04 15:06:44,926][645820] Avg episode reward: [(0, '6712.250')] +[2026-06-04 15:06:46,052][646832] Updated weights for policy 0, policy_version 28532 (0.0008) +[2026-06-04 15:06:49,390][646832] Updated weights for policy 0, policy_version 28605 (0.0005) +[2026-06-04 15:06:49,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 14647296. Throughput: 0: 10399.3. Samples: 14647808. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-04 15:06:49,926][645820] Avg episode reward: [(0, '6624.400')] +[2026-06-04 15:06:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 14680064. Throughput: 0: 10410.7. Samples: 14680064. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 15:06:54,926][645820] Avg episode reward: [(0, '6557.750')] +[2026-06-04 15:06:55,596][646832] Updated weights for policy 0, policy_version 28720 (0.0010) +[2026-06-04 15:06:58,735][646832] Updated weights for policy 0, policy_version 28789 (0.0010) +[2026-06-04 15:06:59,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 14745600. Throughput: 0: 10387.9. Samples: 14742528. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 15:06:59,926][645820] Avg episode reward: [(0, '6616.500')] +[2026-06-04 15:07:01,463][646750] Signal inference workers to stop experience collection... (1350 times) +[2026-06-04 15:07:01,489][646832] InferenceWorker_p0-w0: stopping experience collection (1350 times) +[2026-06-04 15:07:01,596][646750] Signal inference workers to resume experience collection... (1350 times) +[2026-06-04 15:07:01,597][646832] InferenceWorker_p0-w0: resuming experience collection (1350 times) +[2026-06-04 15:07:04,784][646832] Updated weights for policy 0, policy_version 28880 (0.0013) +[2026-06-04 15:07:04,925][645820] Fps is (10 sec: 11468.9, 60 sec: 10513.1, 300 sec: 10385.8). Total num frames: 14794752. Throughput: 0: 10478.9. Samples: 14803968. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 15:07:04,926][645820] Avg episode reward: [(0, '6760.250')] +[2026-06-04 15:07:08,300][646832] Updated weights for policy 0, policy_version 28980 (0.0010) +[2026-06-04 15:07:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 14843904. Throughput: 0: 10433.4. Samples: 14834688. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 15:07:09,928][645820] Avg episode reward: [(0, '6699.300')] +[2026-06-04 15:07:14,337][646832] Updated weights for policy 0, policy_version 29072 (0.0007) +[2026-06-04 15:07:14,925][645820] Fps is (10 sec: 11468.7, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 14909440. Throughput: 0: 10376.5. Samples: 14896128. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 15:07:14,926][645820] Avg episode reward: [(0, '6652.950')] +[2026-06-04 15:07:17,777][646832] Updated weights for policy 0, policy_version 29168 (0.0009) +[2026-06-04 15:07:19,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 14942208. Throughput: 0: 10342.4. Samples: 14957056. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 15:07:19,926][645820] Avg episode reward: [(0, '6629.500')] +[2026-06-04 15:07:21,115][646832] Updated weights for policy 0, policy_version 29248 (0.0010) +[2026-06-04 15:07:24,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 15007744. Throughput: 0: 10387.9. Samples: 14988800. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 15:07:24,926][645820] Avg episode reward: [(0, '6638.300')] +[2026-06-04 15:07:27,035][646832] Updated weights for policy 0, policy_version 29344 (0.0010) +[2026-06-04 15:07:29,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 15040512. Throughput: 0: 10387.9. Samples: 15052288. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 15:07:29,926][645820] Avg episode reward: [(0, '6733.950')] +[2026-06-04 15:07:30,267][646832] Updated weights for policy 0, policy_version 29428 (0.0010) +[2026-06-04 15:07:33,529][646832] Updated weights for policy 0, policy_version 29504 (0.0010) +[2026-06-04 15:07:34,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10385.8). Total num frames: 15106048. Throughput: 0: 10376.5. Samples: 15114752. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 15:07:34,926][645820] Avg episode reward: [(0, '6800.100')] +[2026-06-04 15:07:39,541][646832] Updated weights for policy 0, policy_version 29600 (0.0010) +[2026-06-04 15:07:39,925][645820] Fps is (10 sec: 13107.3, 60 sec: 10513.1, 300 sec: 10441.3). Total num frames: 15171584. Throughput: 0: 10387.9. Samples: 15147520. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 15:07:39,926][645820] Avg episode reward: [(0, '6888.050')] +[2026-06-04 15:07:42,572][646832] Updated weights for policy 0, policy_version 29682 (0.0010) +[2026-06-04 15:07:44,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 15204352. Throughput: 0: 10410.7. Samples: 15211008. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 15:07:44,926][645820] Avg episode reward: [(0, '6940.400')] +[2026-06-04 15:07:44,930][646750] Saving new best policy, reward=6940.400! +[2026-06-04 15:07:48,535][646832] Updated weights for policy 0, policy_version 29761 (0.0010) +[2026-06-04 15:07:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 15269888. Throughput: 0: 10422.0. Samples: 15272960. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 15:07:49,926][645820] Avg episode reward: [(0, '6960.800')] +[2026-06-04 15:07:49,931][646750] Saving new best policy, reward=6960.800! +[2026-06-04 15:07:51,798][646832] Updated weights for policy 0, policy_version 29841 (0.0010) +[2026-06-04 15:07:51,877][646750] Signal inference workers to stop experience collection... (1400 times) +[2026-06-04 15:07:51,907][646832] InferenceWorker_p0-w0: stopping experience collection (1400 times) +[2026-06-04 15:07:52,014][646750] Signal inference workers to resume experience collection... (1400 times) +[2026-06-04 15:07:52,014][646832] InferenceWorker_p0-w0: resuming experience collection (1400 times) +[2026-06-04 15:07:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 15302656. Throughput: 0: 10456.2. Samples: 15305216. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 15:07:54,926][645820] Avg episode reward: [(0, '7075.600')] +[2026-06-04 15:07:55,095][646750] Saving new best policy, reward=7075.600! +[2026-06-04 15:07:55,214][646832] Updated weights for policy 0, policy_version 29936 (0.0012) +[2026-06-04 15:07:58,573][646832] Updated weights for policy 0, policy_version 30014 (0.0011) +[2026-06-04 15:07:59,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 15368192. Throughput: 0: 10490.3. Samples: 15368192. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 15:07:59,926][645820] Avg episode reward: [(0, '6966.900')] +[2026-06-04 15:08:04,392][646832] Updated weights for policy 0, policy_version 30096 (0.0010) +[2026-06-04 15:08:04,925][645820] Fps is (10 sec: 13107.3, 60 sec: 10649.6, 300 sec: 10441.3). Total num frames: 15433728. Throughput: 0: 10524.5. Samples: 15430656. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 15:08:04,926][645820] Avg episode reward: [(0, '7043.550')] +[2026-06-04 15:08:07,813][646832] Updated weights for policy 0, policy_version 30192 (0.0010) +[2026-06-04 15:08:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10413.6). Total num frames: 15466496. Throughput: 0: 10513.1. Samples: 15461888. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 15:08:09,926][645820] Avg episode reward: [(0, '7160.600')] +[2026-06-04 15:08:09,931][646750] Saving new best policy, reward=7160.600! +[2026-06-04 15:08:11,142][646832] Updated weights for policy 0, policy_version 30267 (0.0010) +[2026-06-04 15:08:14,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 15532032. Throughput: 0: 10479.0. Samples: 15523840. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 15:08:14,926][645820] Avg episode reward: [(0, '7246.650')] +[2026-06-04 15:08:14,930][646750] Saving new best policy, reward=7246.650! +[2026-06-04 15:08:17,201][646832] Updated weights for policy 0, policy_version 30384 (0.0011) +[2026-06-04 15:08:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 15564800. Throughput: 0: 10456.2. Samples: 15585280. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 15:08:19,926][645820] Avg episode reward: [(0, '7385.300')] +[2026-06-04 15:08:19,930][646750] Saving new best policy, reward=7385.300! +[2026-06-04 15:08:23,310][646832] Updated weights for policy 0, policy_version 30480 (0.0010) +[2026-06-04 15:08:24,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 15630336. Throughput: 0: 10422.0. Samples: 15616512. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 15:08:24,926][645820] Avg episode reward: [(0, '7352.650')] +[2026-06-04 15:08:26,642][646832] Updated weights for policy 0, policy_version 30583 (0.0010) +[2026-06-04 15:08:29,925][645820] Fps is (10 sec: 13107.2, 60 sec: 10922.7, 300 sec: 10441.3). Total num frames: 15695872. Throughput: 0: 10433.4. Samples: 15680512. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 15:08:29,926][645820] Avg episode reward: [(0, '7495.250')] +[2026-06-04 15:08:29,930][646750] Saving new best policy, reward=7495.250! +[2026-06-04 15:08:32,625][646832] Updated weights for policy 0, policy_version 30672 (0.0010) +[2026-06-04 15:08:34,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 15728640. Throughput: 0: 10456.2. Samples: 15743488. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 15:08:34,926][645820] Avg episode reward: [(0, '7539.200')] +[2026-06-04 15:08:34,929][646750] Saving new best policy, reward=7539.200! +[2026-06-04 15:08:36,014][646832] Updated weights for policy 0, policy_version 30768 (0.0010) +[2026-06-04 15:08:39,163][646832] Updated weights for policy 0, policy_version 30839 (0.0010) +[2026-06-04 15:08:39,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 15794176. Throughput: 0: 10433.4. Samples: 15774720. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 15:08:39,926][645820] Avg episode reward: [(0, '7453.400')] +[2026-06-04 15:08:44,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 15826944. Throughput: 0: 10399.3. Samples: 15836160. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 15:08:44,926][645820] Avg episode reward: [(0, '7431.450')] +[2026-06-04 15:08:45,133][646750] Signal inference workers to stop experience collection... (1450 times) +[2026-06-04 15:08:45,163][646832] InferenceWorker_p0-w0: stopping experience collection (1450 times) +[2026-06-04 15:08:45,246][646750] Signal inference workers to resume experience collection... (1450 times) +[2026-06-04 15:08:45,246][646832] InferenceWorker_p0-w0: resuming experience collection (1450 times) +[2026-06-04 15:08:45,248][646832] Updated weights for policy 0, policy_version 30944 (0.0010) +[2026-06-04 15:08:48,780][646832] Updated weights for policy 0, policy_version 31040 (0.0010) +[2026-06-04 15:08:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 15892480. Throughput: 0: 10387.9. Samples: 15898112. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 15:08:49,926][645820] Avg episode reward: [(0, '7345.450')] +[2026-06-04 15:08:54,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10513.1, 300 sec: 10358.0). Total num frames: 15933440. Throughput: 0: 10353.8. Samples: 15927808. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 15:08:54,926][645820] Avg episode reward: [(0, '7376.450')] +[2026-06-04 15:08:55,015][646832] Updated weights for policy 0, policy_version 31137 (0.0010) +[2026-06-04 15:08:58,410][646832] Updated weights for policy 0, policy_version 31229 (0.0010) +[2026-06-04 15:08:59,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 15990784. Throughput: 0: 10387.9. Samples: 15991296. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 15:08:59,926][645820] Avg episode reward: [(0, '7394.000')] +[2026-06-04 15:09:04,433][646832] Updated weights for policy 0, policy_version 31312 (0.0010) +[2026-06-04 15:09:04,925][645820] Fps is (10 sec: 12288.0, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 16056320. Throughput: 0: 10399.3. Samples: 16053248. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:09:04,926][645820] Avg episode reward: [(0, '7198.650')] +[2026-06-04 15:09:07,723][646832] Updated weights for policy 0, policy_version 31392 (0.0011) +[2026-06-04 15:09:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10413.6). Total num frames: 16089088. Throughput: 0: 10387.9. Samples: 16083968. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:09:09,926][645820] Avg episode reward: [(0, '7169.700')] +[2026-06-04 15:09:10,992][646832] Updated weights for policy 0, policy_version 31479 (0.0010) +[2026-06-04 15:09:14,275][646832] Updated weights for policy 0, policy_version 31552 (0.0012) +[2026-06-04 15:09:14,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 16154624. Throughput: 0: 10365.1. Samples: 16146944. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:09:14,926][645820] Avg episode reward: [(0, '7213.950')] +[2026-06-04 15:09:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 16187392. Throughput: 0: 10353.8. Samples: 16209408. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:09:19,926][645820] Avg episode reward: [(0, '7204.850')] +[2026-06-04 15:09:20,230][646832] Updated weights for policy 0, policy_version 31648 (0.0011) +[2026-06-04 15:09:23,690][646832] Updated weights for policy 0, policy_version 31735 (0.0010) +[2026-06-04 15:09:24,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 16252928. Throughput: 0: 10319.6. Samples: 16239104. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 15:09:24,926][645820] Avg episode reward: [(0, '7166.950')] +[2026-06-04 15:09:29,904][646832] Updated weights for policy 0, policy_version 31840 (0.0011) +[2026-06-04 15:09:29,925][645820] Fps is (10 sec: 11468.9, 60 sec: 10103.5, 300 sec: 10385.8). Total num frames: 16302080. Throughput: 0: 10308.3. Samples: 16300032. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 15:09:29,926][645820] Avg episode reward: [(0, '7178.100')] +[2026-06-04 15:09:33,119][646832] Updated weights for policy 0, policy_version 31922 (0.0010) +[2026-06-04 15:09:34,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 16351232. Throughput: 0: 10308.3. Samples: 16361984. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 15:09:34,926][645820] Avg episode reward: [(0, '7292.200')] +[2026-06-04 15:09:36,602][646832] Updated weights for policy 0, policy_version 32000 (0.0010) +[2026-06-04 15:09:39,231][646750] Signal inference workers to stop experience collection... (1500 times) +[2026-06-04 15:09:39,258][646832] InferenceWorker_p0-w0: stopping experience collection (1500 times) +[2026-06-04 15:09:39,364][646750] Signal inference workers to resume experience collection... (1500 times) +[2026-06-04 15:09:39,365][646832] InferenceWorker_p0-w0: resuming experience collection (1500 times) +[2026-06-04 15:09:39,925][645820] Fps is (10 sec: 11468.8, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 16416768. Throughput: 0: 10308.3. Samples: 16391680. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 15:09:39,926][645820] Avg episode reward: [(0, '7417.500')] +[2026-06-04 15:09:42,887][646832] Updated weights for policy 0, policy_version 32112 (0.0012) +[2026-06-04 15:09:44,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 16449536. Throughput: 0: 10251.4. Samples: 16452608. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 15:09:44,926][645820] Avg episode reward: [(0, '7511.750')] +[2026-06-04 15:09:46,125][646832] Updated weights for policy 0, policy_version 32190 (0.0010) +[2026-06-04 15:09:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 16515072. Throughput: 0: 10296.9. Samples: 16516608. Policy #0 lag: (min: 0.0, avg: 3.8, max: 64.0) +[2026-06-04 15:09:49,926][645820] Avg episode reward: [(0, '7575.850')] +[2026-06-04 15:09:49,929][646750] Saving new best policy, reward=7575.850! +[2026-06-04 15:09:52,058][646832] Updated weights for policy 0, policy_version 32288 (0.0010) +[2026-06-04 15:09:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10240.0, 300 sec: 10330.3). Total num frames: 16547840. Throughput: 0: 10331.0. Samples: 16548864. Policy #0 lag: (min: 0.0, avg: 3.8, max: 64.0) +[2026-06-04 15:09:54,926][645820] Avg episode reward: [(0, '7402.800')] +[2026-06-04 15:09:55,394][646832] Updated weights for policy 0, policy_version 32368 (0.0010) +[2026-06-04 15:09:58,816][646832] Updated weights for policy 0, policy_version 32448 (0.0011) +[2026-06-04 15:09:59,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10385.8). Total num frames: 16613376. Throughput: 0: 10308.3. Samples: 16610816. Policy #0 lag: (min: 0.0, avg: 3.8, max: 64.0) +[2026-06-04 15:09:59,926][645820] Avg episode reward: [(0, '7230.050')] +[2026-06-04 15:10:04,925][645820] Fps is (10 sec: 11468.9, 60 sec: 10103.5, 300 sec: 10385.8). Total num frames: 16662528. Throughput: 0: 10262.8. Samples: 16671232. Policy #0 lag: (min: 0.0, avg: 3.8, max: 64.0) +[2026-06-04 15:10:04,926][645820] Avg episode reward: [(0, '7253.600')] +[2026-06-04 15:10:04,961][646832] Updated weights for policy 0, policy_version 32545 (0.0010) +[2026-06-04 15:10:08,171][646832] Updated weights for policy 0, policy_version 32609 (0.0010) +[2026-06-04 15:10:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 16711680. Throughput: 0: 10285.5. Samples: 16701952. Policy #0 lag: (min: 2.0, avg: 5.5, max: 66.0) +[2026-06-04 15:10:09,926][645820] Avg episode reward: [(0, '7217.500')] +[2026-06-04 15:10:11,520][646832] Updated weights for policy 0, policy_version 32692 (0.0010) +[2026-06-04 15:10:14,762][646832] Updated weights for policy 0, policy_version 32765 (0.0010) +[2026-06-04 15:10:14,925][645820] Fps is (10 sec: 11468.6, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 16777216. Throughput: 0: 10285.5. Samples: 16762880. Policy #0 lag: (min: 2.0, avg: 5.5, max: 66.0) +[2026-06-04 15:10:14,926][645820] Avg episode reward: [(0, '7197.150')] +[2026-06-04 15:10:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 16809984. Throughput: 0: 10285.5. Samples: 16824832. Policy #0 lag: (min: 2.0, avg: 5.5, max: 66.0) +[2026-06-04 15:10:19,926][645820] Avg episode reward: [(0, '7269.600')] +[2026-06-04 15:10:20,961][646832] Updated weights for policy 0, policy_version 32864 (0.0010) +[2026-06-04 15:10:24,425][646832] Updated weights for policy 0, policy_version 32958 (0.0011) +[2026-06-04 15:10:24,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 16875520. Throughput: 0: 10285.5. Samples: 16854528. Policy #0 lag: (min: 2.0, avg: 5.5, max: 66.0) +[2026-06-04 15:10:24,926][645820] Avg episode reward: [(0, '7396.950')] +[2026-06-04 15:10:29,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10103.5, 300 sec: 10330.3). Total num frames: 16908288. Throughput: 0: 10296.9. Samples: 16915968. Policy #0 lag: (min: 2.0, avg: 5.5, max: 66.0) +[2026-06-04 15:10:29,926][645820] Avg episode reward: [(0, '7481.650')] +[2026-06-04 15:10:30,297][646750] Signal inference workers to stop experience collection... (1550 times) +[2026-06-04 15:10:30,327][646832] InferenceWorker_p0-w0: stopping experience collection (1550 times) +[2026-06-04 15:10:30,413][646750] Signal inference workers to resume experience collection... (1550 times) +[2026-06-04 15:10:30,413][646832] InferenceWorker_p0-w0: resuming experience collection (1550 times) +[2026-06-04 15:10:30,415][646832] Updated weights for policy 0, policy_version 33072 (0.0011) +[2026-06-04 15:10:33,651][646832] Updated weights for policy 0, policy_version 33146 (0.0010) +[2026-06-04 15:10:34,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 16973824. Throughput: 0: 10331.0. Samples: 16981504. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 15:10:34,927][645820] Avg episode reward: [(0, '7424.850')] +[2026-06-04 15:10:39,239][646832] Updated weights for policy 0, policy_version 33217 (0.0010) +[2026-06-04 15:10:39,925][645820] Fps is (10 sec: 13107.2, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 17039360. Throughput: 0: 10331.0. Samples: 17013760. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 15:10:39,926][645820] Avg episode reward: [(0, '7453.450')] +[2026-06-04 15:10:42,683][646832] Updated weights for policy 0, policy_version 33332 (0.0011) +[2026-06-04 15:10:44,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 17072128. Throughput: 0: 10365.2. Samples: 17077248. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 15:10:44,926][645820] Avg episode reward: [(0, '7668.950')] +[2026-06-04 15:10:44,930][646750] Saving new best policy, reward=7668.950! +[2026-06-04 15:10:45,997][646832] Updated weights for policy 0, policy_version 33407 (0.0011) +[2026-06-04 15:10:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 17137664. Throughput: 0: 10422.0. Samples: 17140224. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 15:10:49,926][645820] Avg episode reward: [(0, '7514.850')] +[2026-06-04 15:10:51,941][646832] Updated weights for policy 0, policy_version 33504 (0.0010) +[2026-06-04 15:10:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 17170432. Throughput: 0: 10433.4. Samples: 17171456. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 15:10:54,926][645820] Avg episode reward: [(0, '7460.200')] +[2026-06-04 15:10:55,395][646832] Updated weights for policy 0, policy_version 33597 (0.0010) +[2026-06-04 15:10:59,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10413.6). Total num frames: 17235968. Throughput: 0: 10524.5. Samples: 17236480. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 15:10:59,926][645820] Avg episode reward: [(0, '7480.800')] +[2026-06-04 15:11:01,069][646832] Updated weights for policy 0, policy_version 33665 (0.0011) +[2026-06-04 15:11:04,359][646832] Updated weights for policy 0, policy_version 33760 (0.0010) +[2026-06-04 15:11:04,925][645820] Fps is (10 sec: 13107.2, 60 sec: 10649.6, 300 sec: 10441.3). Total num frames: 17301504. Throughput: 0: 10570.0. Samples: 17300480. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 15:11:04,926][645820] Avg episode reward: [(0, '7698.000')] +[2026-06-04 15:11:04,929][646750] Saving new best policy, reward=7698.000! +[2026-06-04 15:11:07,645][646832] Updated weights for policy 0, policy_version 33847 (0.0011) +[2026-06-04 15:11:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 17334272. Throughput: 0: 10615.5. Samples: 17332224. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 15:11:09,926][645820] Avg episode reward: [(0, '7781.400')] +[2026-06-04 15:11:09,930][646750] Saving new best policy, reward=7781.400! +[2026-06-04 15:11:10,953][646832] Updated weights for policy 0, policy_version 33920 (0.0010) +[2026-06-04 15:11:14,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 17399808. Throughput: 0: 10638.2. Samples: 17394688. Policy #0 lag: (min: 31.0, avg: 34.9, max: 95.0) +[2026-06-04 15:11:14,926][645820] Avg episode reward: [(0, '7632.950')] +[2026-06-04 15:11:16,905][646832] Updated weights for policy 0, policy_version 34017 (0.0010) +[2026-06-04 15:11:19,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10513.1, 300 sec: 10358.0). Total num frames: 17440768. Throughput: 0: 10558.6. Samples: 17456640. Policy #0 lag: (min: 31.0, avg: 34.9, max: 95.0) +[2026-06-04 15:11:19,926][645820] Avg episode reward: [(0, '7635.200')] +[2026-06-04 15:11:20,229][646832] Updated weights for policy 0, policy_version 34103 (0.0010) +[2026-06-04 15:11:22,899][646750] Signal inference workers to stop experience collection... (1600 times) +[2026-06-04 15:11:22,928][646832] InferenceWorker_p0-w0: stopping experience collection (1600 times) +[2026-06-04 15:11:23,012][646750] Signal inference workers to resume experience collection... (1600 times) +[2026-06-04 15:11:23,012][646832] InferenceWorker_p0-w0: resuming experience collection (1600 times) +[2026-06-04 15:11:24,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 17498112. Throughput: 0: 10558.6. Samples: 17488896. Policy #0 lag: (min: 31.0, avg: 34.9, max: 95.0) +[2026-06-04 15:11:24,926][645820] Avg episode reward: [(0, '7765.400')] +[2026-06-04 15:11:26,033][646832] Updated weights for policy 0, policy_version 34192 (0.0010) +[2026-06-04 15:11:29,504][646832] Updated weights for policy 0, policy_version 34272 (0.0010) +[2026-06-04 15:11:29,925][645820] Fps is (10 sec: 12287.9, 60 sec: 10922.7, 300 sec: 10441.3). Total num frames: 17563648. Throughput: 0: 10524.4. Samples: 17550848. Policy #0 lag: (min: 31.0, avg: 34.9, max: 95.0) +[2026-06-04 15:11:29,926][645820] Avg episode reward: [(0, '7865.200')] +[2026-06-04 15:11:29,928][646750] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed13/checkpoint_p0/checkpoint_000034304_17563648.pth... +[2026-06-04 15:11:29,946][646750] Saving new best policy, reward=7865.200! +[2026-06-04 15:11:32,573][646832] Updated weights for policy 0, policy_version 34352 (0.0010) +[2026-06-04 15:11:34,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10358.0). Total num frames: 17596416. Throughput: 0: 10524.4. Samples: 17613824. Policy #0 lag: (min: 31.0, avg: 34.9, max: 95.0) +[2026-06-04 15:11:34,926][645820] Avg episode reward: [(0, '7883.150')] +[2026-06-04 15:11:34,928][646750] Saving new best policy, reward=7883.150! +[2026-06-04 15:11:35,941][646832] Updated weights for policy 0, policy_version 34432 (0.0010) +[2026-06-04 15:11:39,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 17661952. Throughput: 0: 10524.4. Samples: 17645056. Policy #0 lag: (min: 63.0, avg: 66.5, max: 127.0) +[2026-06-04 15:11:39,926][645820] Avg episode reward: [(0, '7916.150')] +[2026-06-04 15:11:39,929][646750] Saving new best policy, reward=7916.150! +[2026-06-04 15:11:41,597][646832] Updated weights for policy 0, policy_version 34499 (0.0010) +[2026-06-04 15:11:44,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10513.1, 300 sec: 10358.0). Total num frames: 17702912. Throughput: 0: 10478.9. Samples: 17708032. Policy #0 lag: (min: 63.0, avg: 66.5, max: 127.0) +[2026-06-04 15:11:44,926][645820] Avg episode reward: [(0, '7870.450')] +[2026-06-04 15:11:44,976][646832] Updated weights for policy 0, policy_version 34592 (0.0010) +[2026-06-04 15:11:48,332][646832] Updated weights for policy 0, policy_version 34684 (0.0010) +[2026-06-04 15:11:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 17760256. Throughput: 0: 10456.2. Samples: 17771008. Policy #0 lag: (min: 63.0, avg: 66.5, max: 127.0) +[2026-06-04 15:11:49,926][645820] Avg episode reward: [(0, '7853.300')] +[2026-06-04 15:11:54,273][646832] Updated weights for policy 0, policy_version 34768 (0.0010) +[2026-06-04 15:11:54,925][645820] Fps is (10 sec: 12288.0, 60 sec: 10922.7, 300 sec: 10441.3). Total num frames: 17825792. Throughput: 0: 10444.8. Samples: 17802240. Policy #0 lag: (min: 63.0, avg: 66.5, max: 127.0) +[2026-06-04 15:11:54,926][645820] Avg episode reward: [(0, '7795.300')] +[2026-06-04 15:11:57,651][646832] Updated weights for policy 0, policy_version 34868 (0.0010) +[2026-06-04 15:11:59,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10385.8). Total num frames: 17858560. Throughput: 0: 10444.8. Samples: 17864704. Policy #0 lag: (min: 63.0, avg: 66.5, max: 127.0) +[2026-06-04 15:11:59,926][645820] Avg episode reward: [(0, '7749.900')] +[2026-06-04 15:12:00,836][646832] Updated weights for policy 0, policy_version 34940 (0.0011) +[2026-06-04 15:12:04,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 17924096. Throughput: 0: 10456.2. Samples: 17927168. Policy #0 lag: (min: 6.0, avg: 9.8, max: 70.0) +[2026-06-04 15:12:04,926][645820] Avg episode reward: [(0, '7938.200')] +[2026-06-04 15:12:04,930][646750] Saving new best policy, reward=7938.200! +[2026-06-04 15:12:06,813][646832] Updated weights for policy 0, policy_version 35040 (0.0010) +[2026-06-04 15:12:09,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10513.1, 300 sec: 10358.0). Total num frames: 17965056. Throughput: 0: 10444.8. Samples: 17958912. Policy #0 lag: (min: 6.0, avg: 9.8, max: 70.0) +[2026-06-04 15:12:09,926][645820] Avg episode reward: [(0, '7851.850')] +[2026-06-04 15:12:10,093][646832] Updated weights for policy 0, policy_version 35122 (0.0010) +[2026-06-04 15:12:13,322][646832] Updated weights for policy 0, policy_version 35200 (0.0010) +[2026-06-04 15:12:14,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 18022400. Throughput: 0: 10513.1. Samples: 18023936. Policy #0 lag: (min: 6.0, avg: 9.8, max: 70.0) +[2026-06-04 15:12:14,926][645820] Avg episode reward: [(0, '7910.550')] +[2026-06-04 15:12:15,892][646750] Signal inference workers to stop experience collection... (1650 times) +[2026-06-04 15:12:15,919][646832] InferenceWorker_p0-w0: stopping experience collection (1650 times) +[2026-06-04 15:12:16,025][646750] Signal inference workers to resume experience collection... (1650 times) +[2026-06-04 15:12:16,026][646832] InferenceWorker_p0-w0: resuming experience collection (1650 times) +[2026-06-04 15:12:19,182][646832] Updated weights for policy 0, policy_version 35281 (0.0011) +[2026-06-04 15:12:19,925][645820] Fps is (10 sec: 12288.1, 60 sec: 10786.1, 300 sec: 10441.3). Total num frames: 18087936. Throughput: 0: 10535.8. Samples: 18087936. Policy #0 lag: (min: 6.0, avg: 9.8, max: 70.0) +[2026-06-04 15:12:19,926][645820] Avg episode reward: [(0, '8078.850')] +[2026-06-04 15:12:19,930][646750] Saving new best policy, reward=8078.850! +[2026-06-04 15:12:22,672][646832] Updated weights for policy 0, policy_version 35380 (0.0010) +[2026-06-04 15:12:24,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 18120704. Throughput: 0: 10513.1. Samples: 18118144. Policy #0 lag: (min: 6.0, avg: 9.8, max: 70.0) +[2026-06-04 15:12:24,926][645820] Avg episode reward: [(0, '8138.300')] +[2026-06-04 15:12:24,929][646750] Saving new best policy, reward=8138.300! +[2026-06-04 15:12:28,664][646832] Updated weights for policy 0, policy_version 35472 (0.0010) +[2026-06-04 15:12:29,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 18186240. Throughput: 0: 10478.9. Samples: 18179584. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-04 15:12:29,927][645820] Avg episode reward: [(0, '8318.650')] +[2026-06-04 15:12:29,930][646750] Saving new best policy, reward=8318.650! +[2026-06-04 15:12:31,903][646832] Updated weights for policy 0, policy_version 35552 (0.0010) +[2026-06-04 15:12:34,925][645820] Fps is (10 sec: 11468.9, 60 sec: 10649.6, 300 sec: 10385.8). Total num frames: 18235392. Throughput: 0: 10524.5. Samples: 18244608. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-04 15:12:34,926][645820] Avg episode reward: [(0, '8465.300')] +[2026-06-04 15:12:35,100][646832] Updated weights for policy 0, policy_version 35636 (0.0010) +[2026-06-04 15:12:35,212][646750] Saving new best policy, reward=8465.300! +[2026-06-04 15:12:39,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 18284544. Throughput: 0: 10524.4. Samples: 18275840. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-04 15:12:39,926][645820] Avg episode reward: [(0, '8527.000')] +[2026-06-04 15:12:39,929][646750] Saving new best policy, reward=8527.000! +[2026-06-04 15:12:40,925][646832] Updated weights for policy 0, policy_version 35728 (0.0011) +[2026-06-04 15:12:44,274][646832] Updated weights for policy 0, policy_version 35824 (0.0011) +[2026-06-04 15:12:44,925][645820] Fps is (10 sec: 11468.7, 60 sec: 10786.1, 300 sec: 10441.3). Total num frames: 18350080. Throughput: 0: 10558.6. Samples: 18339840. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-04 15:12:44,926][645820] Avg episode reward: [(0, '8724.500')] +[2026-06-04 15:12:44,930][646750] Saving new best policy, reward=8724.500! +[2026-06-04 15:12:47,606][646832] Updated weights for policy 0, policy_version 35900 (0.0010) +[2026-06-04 15:12:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 18382848. Throughput: 0: 10547.2. Samples: 18401792. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-04 15:12:49,926][645820] Avg episode reward: [(0, '8579.000')] +[2026-06-04 15:12:53,444][646832] Updated weights for policy 0, policy_version 35984 (0.0010) +[2026-06-04 15:12:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 18448384. Throughput: 0: 10524.4. Samples: 18432512. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:12:54,926][645820] Avg episode reward: [(0, '8586.400')] +[2026-06-04 15:12:56,535][646832] Updated weights for policy 0, policy_version 36064 (0.0010) +[2026-06-04 15:12:59,907][646832] Updated weights for policy 0, policy_version 36152 (0.0010) +[2026-06-04 15:12:59,925][645820] Fps is (10 sec: 12288.0, 60 sec: 10786.1, 300 sec: 10413.6). Total num frames: 18505728. Throughput: 0: 10513.1. Samples: 18497024. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:12:59,926][645820] Avg episode reward: [(0, '8491.350')] +[2026-06-04 15:13:02,950][646832] Updated weights for policy 0, policy_version 36219 (0.0010) +[2026-06-04 15:13:04,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 18546688. Throughput: 0: 10558.6. Samples: 18563072. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:13:04,926][645820] Avg episode reward: [(0, '8506.550')] +[2026-06-04 15:13:05,565][646750] Signal inference workers to stop experience collection... (1700 times) +[2026-06-04 15:13:05,594][646832] InferenceWorker_p0-w0: stopping experience collection (1700 times) +[2026-06-04 15:13:05,679][646750] Signal inference workers to resume experience collection... (1700 times) +[2026-06-04 15:13:05,679][646832] InferenceWorker_p0-w0: resuming experience collection (1700 times) +[2026-06-04 15:13:05,895][646832] Updated weights for policy 0, policy_version 36288 (0.0010) +[2026-06-04 15:13:09,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10786.1, 300 sec: 10441.3). Total num frames: 18612224. Throughput: 0: 10626.8. Samples: 18596352. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:13:09,926][645820] Avg episode reward: [(0, '8557.650')] +[2026-06-04 15:13:11,757][646832] Updated weights for policy 0, policy_version 36384 (0.0011) +[2026-06-04 15:13:14,925][645820] Fps is (10 sec: 11468.8, 60 sec: 10649.6, 300 sec: 10496.9). Total num frames: 18661376. Throughput: 0: 10661.0. Samples: 18659328. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:13:14,926][645820] Avg episode reward: [(0, '8410.100')] +[2026-06-04 15:13:15,042][646832] Updated weights for policy 0, policy_version 36466 (0.0010) +[2026-06-04 15:13:18,183][646832] Updated weights for policy 0, policy_version 36542 (0.0010) +[2026-06-04 15:13:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 18710528. Throughput: 0: 10626.8. Samples: 18722816. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:13:19,926][645820] Avg episode reward: [(0, '8322.700')] +[2026-06-04 15:13:24,314][646832] Updated weights for policy 0, policy_version 36640 (0.0010) +[2026-06-04 15:13:24,925][645820] Fps is (10 sec: 11468.8, 60 sec: 10922.7, 300 sec: 10441.3). Total num frames: 18776064. Throughput: 0: 10626.9. Samples: 18754048. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:13:24,926][645820] Avg episode reward: [(0, '8338.400')] +[2026-06-04 15:13:27,888][646832] Updated weights for policy 0, policy_version 36735 (0.0010) +[2026-06-04 15:13:29,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 18808832. Throughput: 0: 10513.1. Samples: 18812928. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:13:29,926][645820] Avg episode reward: [(0, '8218.250')] +[2026-06-04 15:13:33,814][646832] Updated weights for policy 0, policy_version 36816 (0.0010) +[2026-06-04 15:13:34,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10649.6, 300 sec: 10441.3). Total num frames: 18874368. Throughput: 0: 10535.8. Samples: 18875904. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:13:34,926][645820] Avg episode reward: [(0, '8236.150')] +[2026-06-04 15:13:37,242][646832] Updated weights for policy 0, policy_version 36912 (0.0011) +[2026-06-04 15:13:39,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 18907136. Throughput: 0: 10558.6. Samples: 18907648. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:13:39,926][645820] Avg episode reward: [(0, '8245.200')] +[2026-06-04 15:13:40,538][646832] Updated weights for policy 0, policy_version 36992 (0.0010) +[2026-06-04 15:13:44,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 18972672. Throughput: 0: 10581.3. Samples: 18973184. Policy #0 lag: (min: 3.0, avg: 6.5, max: 67.0) +[2026-06-04 15:13:44,926][645820] Avg episode reward: [(0, '8294.000')] +[2026-06-04 15:13:46,321][646832] Updated weights for policy 0, policy_version 37088 (0.0010) +[2026-06-04 15:13:49,528][646832] Updated weights for policy 0, policy_version 37168 (0.0010) +[2026-06-04 15:13:49,925][645820] Fps is (10 sec: 13107.2, 60 sec: 10922.7, 300 sec: 10524.6). Total num frames: 19038208. Throughput: 0: 10513.1. Samples: 19036160. Policy #0 lag: (min: 3.0, avg: 6.5, max: 67.0) +[2026-06-04 15:13:49,926][645820] Avg episode reward: [(0, '8459.000')] +[2026-06-04 15:13:52,615][646832] Updated weights for policy 0, policy_version 37232 (0.0007) +[2026-06-04 15:13:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 19070976. Throughput: 0: 10478.9. Samples: 19067904. Policy #0 lag: (min: 3.0, avg: 6.5, max: 67.0) +[2026-06-04 15:13:54,926][645820] Avg episode reward: [(0, '8615.100')] +[2026-06-04 15:13:55,716][646832] Updated weights for policy 0, policy_version 37301 (0.0007) +[2026-06-04 15:13:58,358][646750] Signal inference workers to stop experience collection... (1750 times) +[2026-06-04 15:13:58,386][646832] InferenceWorker_p0-w0: stopping experience collection (1750 times) +[2026-06-04 15:13:58,471][646750] Signal inference workers to resume experience collection... (1750 times) +[2026-06-04 15:13:58,471][646832] InferenceWorker_p0-w0: resuming experience collection (1750 times) +[2026-06-04 15:13:58,773][646832] Updated weights for policy 0, policy_version 37373 (0.0006) +[2026-06-04 15:13:59,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10513.1, 300 sec: 10441.3). Total num frames: 19136512. Throughput: 0: 10547.2. Samples: 19133952. Policy #0 lag: (min: 3.0, avg: 6.5, max: 67.0) +[2026-06-04 15:13:59,926][645820] Avg episode reward: [(0, '8529.950')] +[2026-06-04 15:14:04,378][646832] Updated weights for policy 0, policy_version 37456 (0.0013) +[2026-06-04 15:14:04,925][645820] Fps is (10 sec: 13107.2, 60 sec: 10922.7, 300 sec: 10552.4). Total num frames: 19202048. Throughput: 0: 10581.3. Samples: 19198976. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 15:14:04,926][645820] Avg episode reward: [(0, '8732.800')] +[2026-06-04 15:14:04,930][646750] Saving new best policy, reward=8732.800! +[2026-06-04 15:14:07,808][646832] Updated weights for policy 0, policy_version 37556 (0.0010) +[2026-06-04 15:14:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 19234816. Throughput: 0: 10581.3. Samples: 19230208. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 15:14:09,926][645820] Avg episode reward: [(0, '8744.750')] +[2026-06-04 15:14:09,929][646750] Saving new best policy, reward=8744.750! +[2026-06-04 15:14:10,903][646832] Updated weights for policy 0, policy_version 37625 (0.0010) +[2026-06-04 15:14:14,008][646832] Updated weights for policy 0, policy_version 37696 (0.0009) +[2026-06-04 15:14:14,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10649.6, 300 sec: 10552.4). Total num frames: 19300352. Throughput: 0: 10729.3. Samples: 19295744. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 15:14:14,926][645820] Avg episode reward: [(0, '8804.700')] +[2026-06-04 15:14:14,929][646750] Saving new best policy, reward=8804.700! +[2026-06-04 15:14:19,789][646832] Updated weights for policy 0, policy_version 37761 (0.0010) +[2026-06-04 15:14:19,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10513.1, 300 sec: 10469.1). Total num frames: 19341312. Throughput: 0: 10695.1. Samples: 19357184. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 15:14:19,926][645820] Avg episode reward: [(0, '8786.950')] +[2026-06-04 15:14:23,018][646832] Updated weights for policy 0, policy_version 37856 (0.0010) +[2026-06-04 15:14:24,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10496.9). Total num frames: 19398656. Throughput: 0: 10695.1. Samples: 19388928. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 15:14:24,926][645820] Avg episode reward: [(0, '8824.300')] +[2026-06-04 15:14:24,930][646750] Saving new best policy, reward=8824.300! +[2026-06-04 15:14:26,357][646832] Updated weights for policy 0, policy_version 37940 (0.0010) +[2026-06-04 15:14:29,600][646832] Updated weights for policy 0, policy_version 38012 (0.0010) +[2026-06-04 15:14:29,925][645820] Fps is (10 sec: 12288.0, 60 sec: 10922.7, 300 sec: 10552.4). Total num frames: 19464192. Throughput: 0: 10638.2. Samples: 19451904. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 15:14:29,926][645820] Avg episode reward: [(0, '8649.250')] +[2026-06-04 15:14:34,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 19496960. Throughput: 0: 10649.6. Samples: 19515392. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 15:14:34,926][645820] Avg episode reward: [(0, '8868.400')] +[2026-06-04 15:14:34,930][646750] Saving new best policy, reward=8868.400! +[2026-06-04 15:14:35,292][646832] Updated weights for policy 0, policy_version 38081 (0.0010) +[2026-06-04 15:14:38,523][646832] Updated weights for policy 0, policy_version 38160 (0.0009) +[2026-06-04 15:14:39,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10552.4). Total num frames: 19562496. Throughput: 0: 10661.0. Samples: 19547648. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 15:14:39,926][645820] Avg episode reward: [(0, '8793.100')] +[2026-06-04 15:14:41,820][646832] Updated weights for policy 0, policy_version 38240 (0.0008) +[2026-06-04 15:14:44,925][645820] Fps is (10 sec: 10649.8, 60 sec: 10513.1, 300 sec: 10469.1). Total num frames: 19603456. Throughput: 0: 10547.2. Samples: 19608576. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 15:14:44,926][645820] Avg episode reward: [(0, '8967.200')] +[2026-06-04 15:14:45,080][646750] Saving new best policy, reward=8967.200! +[2026-06-04 15:14:45,265][646832] Updated weights for policy 0, policy_version 38332 (0.0006) +[2026-06-04 15:14:48,313][646832] Updated weights for policy 0, policy_version 38395 (0.0005) +[2026-06-04 15:14:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10552.4). Total num frames: 19660800. Throughput: 0: 10535.8. Samples: 19673088. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 15:14:49,926][645820] Avg episode reward: [(0, '8732.350')] +[2026-06-04 15:14:50,712][646750] Signal inference workers to stop experience collection... (1800 times) +[2026-06-04 15:14:50,757][646832] InferenceWorker_p0-w0: stopping experience collection (1800 times) +[2026-06-04 15:14:50,846][646750] Signal inference workers to resume experience collection... (1800 times) +[2026-06-04 15:14:50,847][646832] InferenceWorker_p0-w0: resuming experience collection (1800 times) +[2026-06-04 15:14:53,692][646832] Updated weights for policy 0, policy_version 38465 (0.0006) +[2026-06-04 15:14:54,925][645820] Fps is (10 sec: 12287.9, 60 sec: 10922.7, 300 sec: 10552.4). Total num frames: 19726336. Throughput: 0: 10570.0. Samples: 19705856. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 15:14:54,926][645820] Avg episode reward: [(0, '8658.400')] +[2026-06-04 15:14:56,975][646832] Updated weights for policy 0, policy_version 38560 (0.0009) +[2026-06-04 15:14:59,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10496.9). Total num frames: 19759104. Throughput: 0: 10547.2. Samples: 19770368. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 15:14:59,926][645820] Avg episode reward: [(0, '8836.700')] +[2026-06-04 15:15:00,366][646832] Updated weights for policy 0, policy_version 38652 (0.0010) +[2026-06-04 15:15:04,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10552.4). Total num frames: 19824640. Throughput: 0: 10615.5. Samples: 19834880. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 15:15:04,926][645820] Avg episode reward: [(0, '8816.950')] +[2026-06-04 15:15:06,279][646832] Updated weights for policy 0, policy_version 38752 (0.0011) +[2026-06-04 15:15:09,499][646832] Updated weights for policy 0, policy_version 38832 (0.0009) +[2026-06-04 15:15:09,925][645820] Fps is (10 sec: 13107.2, 60 sec: 10922.7, 300 sec: 10552.4). Total num frames: 19890176. Throughput: 0: 10592.7. Samples: 19865600. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 15:15:09,926][645820] Avg episode reward: [(0, '8878.600')] +[2026-06-04 15:15:12,605][646832] Updated weights for policy 0, policy_version 38905 (0.0009) +[2026-06-04 15:15:14,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10552.4). Total num frames: 19922944. Throughput: 0: 10661.0. Samples: 19931648. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 15:15:14,926][645820] Avg episode reward: [(0, '8919.100')] +[2026-06-04 15:15:15,665][646832] Updated weights for policy 0, policy_version 38976 (0.0009) +[2026-06-04 15:15:19,925][645820] Fps is (10 sec: 9830.2, 60 sec: 10786.1, 300 sec: 10552.4). Total num frames: 19988480. Throughput: 0: 10649.6. Samples: 19994624. Policy #0 lag: (min: 37.0, avg: 40.4, max: 101.0) +[2026-06-04 15:15:19,927][645820] Avg episode reward: [(0, '9034.200')] +[2026-06-04 15:15:19,930][646750] Saving new best policy, reward=9034.200! +[2026-06-04 15:15:21,566][646832] Updated weights for policy 0, policy_version 39088 (0.0010) +[2026-06-04 15:15:24,757][646832] Updated weights for policy 0, policy_version 39161 (0.0009) +[2026-06-04 15:15:24,925][645820] Fps is (10 sec: 13107.3, 60 sec: 10922.7, 300 sec: 10663.5). Total num frames: 20054016. Throughput: 0: 10672.4. Samples: 20027904. Policy #0 lag: (min: 37.0, avg: 40.4, max: 101.0) +[2026-06-04 15:15:24,926][645820] Avg episode reward: [(0, '9350.950')] +[2026-06-04 15:15:24,930][646750] Saving new best policy, reward=9350.950! +[2026-06-04 15:15:29,925][645820] Fps is (10 sec: 9830.6, 60 sec: 10376.5, 300 sec: 10552.4). Total num frames: 20086784. Throughput: 0: 10706.5. Samples: 20090368. Policy #0 lag: (min: 37.0, avg: 40.4, max: 101.0) +[2026-06-04 15:15:29,926][645820] Avg episode reward: [(0, '9634.550')] +[2026-06-04 15:15:29,930][646750] Saving new best policy, reward=9634.550! +[2026-06-04 15:15:30,530][646832] Updated weights for policy 0, policy_version 39233 (0.0010) +[2026-06-04 15:15:33,696][646832] Updated weights for policy 0, policy_version 39328 (0.0010) +[2026-06-04 15:15:34,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10552.4). Total num frames: 20152320. Throughput: 0: 10729.2. Samples: 20155904. Policy #0 lag: (min: 37.0, avg: 40.4, max: 101.0) +[2026-06-04 15:15:34,926][645820] Avg episode reward: [(0, '9665.950')] +[2026-06-04 15:15:34,930][646750] Saving new best policy, reward=9665.950! +[2026-06-04 15:15:36,849][646832] Updated weights for policy 0, policy_version 39410 (0.0010) +[2026-06-04 15:15:39,739][646750] Signal inference workers to stop experience collection... (1850 times) +[2026-06-04 15:15:39,770][646832] InferenceWorker_p0-w0: stopping experience collection (1850 times) +[2026-06-04 15:15:39,849][646750] Signal inference workers to resume experience collection... (1850 times) +[2026-06-04 15:15:39,850][646832] InferenceWorker_p0-w0: resuming experience collection (1850 times) +[2026-06-04 15:15:39,925][645820] Fps is (10 sec: 12288.0, 60 sec: 10786.1, 300 sec: 10635.7). Total num frames: 20209664. Throughput: 0: 10729.3. Samples: 20188672. Policy #0 lag: (min: 37.0, avg: 40.4, max: 101.0) +[2026-06-04 15:15:39,926][645820] Avg episode reward: [(0, '9826.350')] +[2026-06-04 15:15:40,028][646750] Saving new best policy, reward=9826.350! +[2026-06-04 15:15:42,704][646832] Updated weights for policy 0, policy_version 39504 (0.0011) +[2026-06-04 15:15:44,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10786.1, 300 sec: 10552.4). Total num frames: 20250624. Throughput: 0: 10717.9. Samples: 20252672. Policy #0 lag: (min: 37.0, avg: 40.4, max: 101.0) +[2026-06-04 15:15:44,926][645820] Avg episode reward: [(0, '9876.550')] +[2026-06-04 15:15:44,930][646750] Saving new best policy, reward=9876.550! +[2026-06-04 15:15:46,096][646832] Updated weights for policy 0, policy_version 39600 (0.0010) +[2026-06-04 15:15:49,439][646832] Updated weights for policy 0, policy_version 39676 (0.0011) +[2026-06-04 15:15:49,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10922.7, 300 sec: 10663.5). Total num frames: 20316160. Throughput: 0: 10717.9. Samples: 20317184. Policy #0 lag: (min: 5.0, avg: 8.4, max: 69.0) +[2026-06-04 15:15:49,926][645820] Avg episode reward: [(0, '9918.900')] +[2026-06-04 15:15:49,929][646750] Saving new best policy, reward=9918.900! +[2026-06-04 15:15:54,893][646832] Updated weights for policy 0, policy_version 39760 (0.0009) +[2026-06-04 15:15:54,925][645820] Fps is (10 sec: 10649.7, 60 sec: 10513.1, 300 sec: 10580.2). Total num frames: 20357120. Throughput: 0: 10752.0. Samples: 20349440. Policy #0 lag: (min: 5.0, avg: 8.4, max: 69.0) +[2026-06-04 15:15:54,926][645820] Avg episode reward: [(0, '9914.200')] +[2026-06-04 15:15:58,454][646832] Updated weights for policy 0, policy_version 39858 (0.0008) +[2026-06-04 15:15:59,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10552.4). Total num frames: 20414464. Throughput: 0: 10729.3. Samples: 20414464. Policy #0 lag: (min: 5.0, avg: 8.4, max: 69.0) +[2026-06-04 15:15:59,926][645820] Avg episode reward: [(0, '9845.550')] +[2026-06-04 15:16:01,799][646832] Updated weights for policy 0, policy_version 39936 (0.0010) +[2026-06-04 15:16:04,925][645820] Fps is (10 sec: 11468.7, 60 sec: 10786.1, 300 sec: 10635.7). Total num frames: 20471808. Throughput: 0: 10672.4. Samples: 20474880. Policy #0 lag: (min: 5.0, avg: 8.4, max: 69.0) +[2026-06-04 15:16:04,926][645820] Avg episode reward: [(0, '9781.250')] +[2026-06-04 15:16:07,922][646832] Updated weights for policy 0, policy_version 40032 (0.0010) +[2026-06-04 15:16:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10552.4). Total num frames: 20512768. Throughput: 0: 10604.1. Samples: 20505088. Policy #0 lag: (min: 5.0, avg: 8.4, max: 69.0) +[2026-06-04 15:16:09,926][645820] Avg episode reward: [(0, '9776.450')] +[2026-06-04 15:16:11,300][646832] Updated weights for policy 0, policy_version 40112 (0.0011) +[2026-06-04 15:16:14,740][646832] Updated weights for policy 0, policy_version 40192 (0.0010) +[2026-06-04 15:16:14,925][645820] Fps is (10 sec: 10649.3, 60 sec: 10922.6, 300 sec: 10635.7). Total num frames: 20578304. Throughput: 0: 10547.1. Samples: 20564992. Policy #0 lag: (min: 31.0, avg: 34.3, max: 95.0) +[2026-06-04 15:16:14,927][645820] Avg episode reward: [(0, '9776.900')] +[2026-06-04 15:16:19,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10376.6, 300 sec: 10552.4). Total num frames: 20611072. Throughput: 0: 10501.7. Samples: 20628480. Policy #0 lag: (min: 31.0, avg: 34.3, max: 95.0) +[2026-06-04 15:16:19,925][645820] Avg episode reward: [(0, '9719.550')] +[2026-06-04 15:16:20,693][646832] Updated weights for policy 0, policy_version 40288 (0.0010) +[2026-06-04 15:16:24,084][646832] Updated weights for policy 0, policy_version 40378 (0.0011) +[2026-06-04 15:16:24,925][645820] Fps is (10 sec: 9830.7, 60 sec: 10376.5, 300 sec: 10552.4). Total num frames: 20676608. Throughput: 0: 10456.2. Samples: 20659200. Policy #0 lag: (min: 31.0, avg: 34.3, max: 95.0) +[2026-06-04 15:16:24,926][645820] Avg episode reward: [(0, '9591.100')] +[2026-06-04 15:16:29,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10552.4). Total num frames: 20709376. Throughput: 0: 10376.5. Samples: 20719616. Policy #0 lag: (min: 31.0, avg: 34.3, max: 95.0) +[2026-06-04 15:16:29,926][645820] Avg episode reward: [(0, '9799.950')] +[2026-06-04 15:16:30,258][646832] Updated weights for policy 0, policy_version 40449 (0.0009) +[2026-06-04 15:16:33,484][646750] Signal inference workers to stop experience collection... (1900 times) +[2026-06-04 15:16:33,515][646832] InferenceWorker_p0-w0: stopping experience collection (1900 times) +[2026-06-04 15:16:33,596][646750] Signal inference workers to resume experience collection... (1900 times) +[2026-06-04 15:16:33,597][646832] InferenceWorker_p0-w0: resuming experience collection (1900 times) +[2026-06-04 15:16:33,599][646832] Updated weights for policy 0, policy_version 40544 (0.0010) +[2026-06-04 15:16:34,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10552.4). Total num frames: 20774912. Throughput: 0: 10274.1. Samples: 20779520. Policy #0 lag: (min: 31.0, avg: 34.3, max: 95.0) +[2026-06-04 15:16:34,926][645820] Avg episode reward: [(0, '9865.450')] +[2026-06-04 15:16:36,923][646832] Updated weights for policy 0, policy_version 40624 (0.0010) +[2026-06-04 15:16:39,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10103.5, 300 sec: 10552.4). Total num frames: 20815872. Throughput: 0: 10251.3. Samples: 20810752. Policy #0 lag: (min: 47.0, avg: 49.8, max: 111.0) +[2026-06-04 15:16:39,927][645820] Avg episode reward: [(0, '9828.750')] +[2026-06-04 15:16:40,153][646832] Updated weights for policy 0, policy_version 40690 (0.0008) +[2026-06-04 15:16:43,539][646832] Updated weights for policy 0, policy_version 40767 (0.0010) +[2026-06-04 15:16:44,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10552.4). Total num frames: 20873216. Throughput: 0: 10194.5. Samples: 20873216. Policy #0 lag: (min: 47.0, avg: 49.8, max: 111.0) +[2026-06-04 15:16:44,926][645820] Avg episode reward: [(0, '9752.850')] +[2026-06-04 15:16:49,507][646832] Updated weights for policy 0, policy_version 40833 (0.0010) +[2026-06-04 15:16:49,925][645820] Fps is (10 sec: 11468.9, 60 sec: 10240.0, 300 sec: 10524.6). Total num frames: 20930560. Throughput: 0: 10183.1. Samples: 20933120. Policy #0 lag: (min: 47.0, avg: 49.8, max: 111.0) +[2026-06-04 15:16:49,926][645820] Avg episode reward: [(0, '9794.600')] +[2026-06-04 15:16:52,769][646832] Updated weights for policy 0, policy_version 40912 (0.0010) +[2026-06-04 15:16:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10240.0, 300 sec: 10552.4). Total num frames: 20971520. Throughput: 0: 10205.9. Samples: 20964352. Policy #0 lag: (min: 47.0, avg: 49.8, max: 111.0) +[2026-06-04 15:16:54,926][645820] Avg episode reward: [(0, '9549.000')] +[2026-06-04 15:16:56,200][646832] Updated weights for policy 0, policy_version 41008 (0.0011) +[2026-06-04 15:16:59,719][646832] Updated weights for policy 0, policy_version 41077 (0.0011) +[2026-06-04 15:16:59,925][645820] Fps is (10 sec: 10649.5, 60 sec: 10376.5, 300 sec: 10552.4). Total num frames: 21037056. Throughput: 0: 10194.5. Samples: 21023744. Policy #0 lag: (min: 47.0, avg: 49.8, max: 111.0) +[2026-06-04 15:16:59,926][645820] Avg episode reward: [(0, '9570.800')] +[2026-06-04 15:17:03,069][646832] Updated weights for policy 0, policy_version 41152 (0.0010) +[2026-06-04 15:17:04,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9966.9, 300 sec: 10524.6). Total num frames: 21069824. Throughput: 0: 10126.2. Samples: 21084160. Policy #0 lag: (min: 62.0, avg: 66.3, max: 126.0) +[2026-06-04 15:17:04,926][645820] Avg episode reward: [(0, '9691.400')] +[2026-06-04 15:17:09,233][646832] Updated weights for policy 0, policy_version 41264 (0.0010) +[2026-06-04 15:17:09,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10552.4). Total num frames: 21135360. Throughput: 0: 10103.5. Samples: 21113856. Policy #0 lag: (min: 62.0, avg: 66.3, max: 126.0) +[2026-06-04 15:17:09,926][645820] Avg episode reward: [(0, '9677.400')] +[2026-06-04 15:17:14,925][645820] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 10441.3). Total num frames: 21168128. Throughput: 0: 10092.0. Samples: 21173760. Policy #0 lag: (min: 62.0, avg: 66.3, max: 126.0) +[2026-06-04 15:17:14,926][645820] Avg episode reward: [(0, '9685.350')] +[2026-06-04 15:17:15,631][646832] Updated weights for policy 0, policy_version 41360 (0.0011) +[2026-06-04 15:17:18,983][646832] Updated weights for policy 0, policy_version 41456 (0.0010) +[2026-06-04 15:17:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10552.4). Total num frames: 21233664. Throughput: 0: 10137.6. Samples: 21235712. Policy #0 lag: (min: 62.0, avg: 66.3, max: 126.0) +[2026-06-04 15:17:19,926][645820] Avg episode reward: [(0, '9661.250')] +[2026-06-04 15:17:22,300][646832] Updated weights for policy 0, policy_version 41536 (0.0012) +[2026-06-04 15:17:24,925][645820] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 10441.3). Total num frames: 21266432. Throughput: 0: 10149.0. Samples: 21267456. Policy #0 lag: (min: 62.0, avg: 66.3, max: 126.0) +[2026-06-04 15:17:24,926][645820] Avg episode reward: [(0, '9851.700')] +[2026-06-04 15:17:28,002][646750] Signal inference workers to stop experience collection... (1950 times) +[2026-06-04 15:17:28,053][646832] InferenceWorker_p0-w0: stopping experience collection (1950 times) +[2026-06-04 15:17:28,161][646750] Signal inference workers to resume experience collection... (1950 times) +[2026-06-04 15:17:28,162][646832] InferenceWorker_p0-w0: resuming experience collection (1950 times) +[2026-06-04 15:17:28,207][646832] Updated weights for policy 0, policy_version 41617 (0.0009) +[2026-06-04 15:17:29,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10496.9). Total num frames: 21331968. Throughput: 0: 10183.1. Samples: 21331456. Policy #0 lag: (min: 62.0, avg: 66.3, max: 126.0) +[2026-06-04 15:17:29,927][645820] Avg episode reward: [(0, '10095.400')] +[2026-06-04 15:17:29,931][646750] Saving new best policy, reward=10095.400! +[2026-06-04 15:17:31,528][646832] Updated weights for policy 0, policy_version 41697 (0.0007) +[2026-06-04 15:17:34,925][645820] Fps is (10 sec: 12288.0, 60 sec: 10240.0, 300 sec: 10524.6). Total num frames: 21389312. Throughput: 0: 10194.5. Samples: 21391872. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 15:17:34,926][645820] Avg episode reward: [(0, '10304.800')] +[2026-06-04 15:17:35,021][646832] Updated weights for policy 0, policy_version 41791 (0.0010) +[2026-06-04 15:17:35,024][646750] Saving new best policy, reward=10304.800! +[2026-06-04 15:17:39,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10240.0, 300 sec: 10441.3). Total num frames: 21430272. Throughput: 0: 10205.9. Samples: 21423616. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 15:17:39,926][645820] Avg episode reward: [(0, '10475.600')] +[2026-06-04 15:17:39,930][646750] Saving new best policy, reward=10475.600! +[2026-06-04 15:17:40,791][646832] Updated weights for policy 0, policy_version 41872 (0.0011) +[2026-06-04 15:17:44,160][646832] Updated weights for policy 0, policy_version 41938 (0.0010) +[2026-06-04 15:17:44,925][645820] Fps is (10 sec: 10649.5, 60 sec: 10376.5, 300 sec: 10552.4). Total num frames: 21495808. Throughput: 0: 10274.1. Samples: 21486080. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 15:17:44,926][645820] Avg episode reward: [(0, '10366.300')] +[2026-06-04 15:17:47,608][646832] Updated weights for policy 0, policy_version 42036 (0.0011) +[2026-06-04 15:17:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9966.9, 300 sec: 10441.3). Total num frames: 21528576. Throughput: 0: 10251.4. Samples: 21545472. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 15:17:49,926][645820] Avg episode reward: [(0, '10452.050')] +[2026-06-04 15:17:51,122][646832] Updated weights for policy 0, policy_version 42108 (0.0010) +[2026-06-04 15:17:54,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10469.1). Total num frames: 21594112. Throughput: 0: 10251.4. Samples: 21575168. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 15:17:54,926][645820] Avg episode reward: [(0, '10311.450')] +[2026-06-04 15:17:57,445][646832] Updated weights for policy 0, policy_version 42194 (0.0010) +[2026-06-04 15:17:59,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10441.3). Total num frames: 21626880. Throughput: 0: 10194.5. Samples: 21632512. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 15:17:59,926][645820] Avg episode reward: [(0, '10307.650')] +[2026-06-04 15:18:00,736][646832] Updated weights for policy 0, policy_version 42296 (0.0011) +[2026-06-04 15:18:03,932][646832] Updated weights for policy 0, policy_version 42368 (0.0010) +[2026-06-04 15:18:04,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 21692416. Throughput: 0: 10251.4. Samples: 21697024. Policy #0 lag: (min: 11.0, avg: 15.5, max: 75.0) +[2026-06-04 15:18:04,926][645820] Avg episode reward: [(0, '10312.950')] +[2026-06-04 15:18:09,345][646832] Updated weights for policy 0, policy_version 42448 (0.0010) +[2026-06-04 15:18:09,925][645820] Fps is (10 sec: 13107.3, 60 sec: 10376.5, 300 sec: 10496.9). Total num frames: 21757952. Throughput: 0: 10296.9. Samples: 21730816. Policy #0 lag: (min: 11.0, avg: 15.5, max: 75.0) +[2026-06-04 15:18:09,926][645820] Avg episode reward: [(0, '10774.150')] +[2026-06-04 15:18:09,929][646750] Saving new best policy, reward=10774.150! +[2026-06-04 15:18:12,572][646832] Updated weights for policy 0, policy_version 42544 (0.0010) +[2026-06-04 15:18:14,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.6, 300 sec: 10441.3). Total num frames: 21790720. Throughput: 0: 10331.0. Samples: 21796352. Policy #0 lag: (min: 11.0, avg: 15.5, max: 75.0) +[2026-06-04 15:18:14,926][645820] Avg episode reward: [(0, '10664.950')] +[2026-06-04 15:18:15,789][646832] Updated weights for policy 0, policy_version 42612 (0.0008) +[2026-06-04 15:18:18,581][646750] Signal inference workers to stop experience collection... (2000 times) +[2026-06-04 15:18:18,611][646832] InferenceWorker_p0-w0: stopping experience collection (2000 times) +[2026-06-04 15:18:18,717][646750] Signal inference workers to resume experience collection... (2000 times) +[2026-06-04 15:18:18,718][646832] InferenceWorker_p0-w0: resuming experience collection (2000 times) +[2026-06-04 15:18:18,929][646832] Updated weights for policy 0, policy_version 42688 (0.0009) +[2026-06-04 15:18:19,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 21856256. Throughput: 0: 10422.1. Samples: 21860864. Policy #0 lag: (min: 11.0, avg: 15.5, max: 75.0) +[2026-06-04 15:18:19,926][645820] Avg episode reward: [(0, '10906.750')] +[2026-06-04 15:18:19,927][646750] Saving new best policy, reward=10906.750! +[2026-06-04 15:18:24,662][646832] Updated weights for policy 0, policy_version 42753 (0.0006) +[2026-06-04 15:18:24,925][645820] Fps is (10 sec: 11468.9, 60 sec: 10649.6, 300 sec: 10496.9). Total num frames: 21905408. Throughput: 0: 10433.4. Samples: 21893120. Policy #0 lag: (min: 11.0, avg: 15.5, max: 75.0) +[2026-06-04 15:18:24,926][645820] Avg episode reward: [(0, '10980.500')] +[2026-06-04 15:18:25,233][646750] Saving new best policy, reward=10980.500! +[2026-06-04 15:18:27,886][646832] Updated weights for policy 0, policy_version 42832 (0.0010) +[2026-06-04 15:18:29,925][645820] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 21954560. Throughput: 0: 10433.4. Samples: 21955584. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 15:18:29,926][645820] Avg episode reward: [(0, '10963.700')] +[2026-06-04 15:18:31,347][646832] Updated weights for policy 0, policy_version 42932 (0.0010) +[2026-06-04 15:18:34,564][646832] Updated weights for policy 0, policy_version 43002 (0.0010) +[2026-06-04 15:18:34,925][645820] Fps is (10 sec: 11468.8, 60 sec: 10513.1, 300 sec: 10552.4). Total num frames: 22020096. Throughput: 0: 10535.8. Samples: 22019584. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 15:18:34,926][645820] Avg episode reward: [(0, '11272.450')] +[2026-06-04 15:18:34,930][646750] Saving new best policy, reward=11272.450! +[2026-06-04 15:18:39,925][645820] Fps is (10 sec: 9830.6, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 22052864. Throughput: 0: 10524.4. Samples: 22048768. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 15:18:39,926][645820] Avg episode reward: [(0, '11260.650')] +[2026-06-04 15:18:40,573][646832] Updated weights for policy 0, policy_version 43088 (0.0010) +[2026-06-04 15:18:43,895][646832] Updated weights for policy 0, policy_version 43168 (0.0010) +[2026-06-04 15:18:44,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 22118400. Throughput: 0: 10626.9. Samples: 22110720. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 15:18:44,926][645820] Avg episode reward: [(0, '11420.050')] +[2026-06-04 15:18:44,931][646750] Saving new best policy, reward=11420.050! +[2026-06-04 15:18:47,368][646832] Updated weights for policy 0, policy_version 43250 (0.0010) +[2026-06-04 15:18:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 22151168. Throughput: 0: 10547.2. Samples: 22171648. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 15:18:49,926][645820] Avg episode reward: [(0, '11457.000')] +[2026-06-04 15:18:49,930][646750] Saving new best policy, reward=11457.000! +[2026-06-04 15:18:50,639][646832] Updated weights for policy 0, policy_version 43326 (0.0006) +[2026-06-04 15:18:54,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 22216704. Throughput: 0: 10467.6. Samples: 22201856. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 15:18:54,926][645820] Avg episode reward: [(0, '11379.200')] +[2026-06-04 15:18:56,642][646832] Updated weights for policy 0, policy_version 43408 (0.0008) +[2026-06-04 15:18:59,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10513.1, 300 sec: 10358.0). Total num frames: 22257664. Throughput: 0: 10387.9. Samples: 22263808. Policy #0 lag: (min: 4.0, avg: 7.9, max: 68.0) +[2026-06-04 15:18:59,926][645820] Avg episode reward: [(0, '11313.200')] +[2026-06-04 15:19:00,055][646832] Updated weights for policy 0, policy_version 43488 (0.0009) +[2026-06-04 15:19:03,414][646832] Updated weights for policy 0, policy_version 43568 (0.0009) +[2026-06-04 15:19:04,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 22315008. Throughput: 0: 10274.1. Samples: 22323200. Policy #0 lag: (min: 4.0, avg: 7.9, max: 68.0) +[2026-06-04 15:19:04,926][645820] Avg episode reward: [(0, '11070.300')] +[2026-06-04 15:19:06,768][646832] Updated weights for policy 0, policy_version 43640 (0.0010) +[2026-06-04 15:19:09,925][645820] Fps is (10 sec: 11468.8, 60 sec: 10240.0, 300 sec: 10413.6). Total num frames: 22372352. Throughput: 0: 10240.0. Samples: 22353920. Policy #0 lag: (min: 4.0, avg: 7.9, max: 68.0) +[2026-06-04 15:19:09,926][645820] Avg episode reward: [(0, '11069.400')] +[2026-06-04 15:19:09,969][646832] Updated weights for policy 0, policy_version 43703 (0.0010) +[2026-06-04 15:19:12,810][646750] Signal inference workers to stop experience collection... (2050 times) +[2026-06-04 15:19:12,837][646832] InferenceWorker_p0-w0: stopping experience collection (2050 times) +[2026-06-04 15:19:12,920][646750] Signal inference workers to resume experience collection... (2050 times) +[2026-06-04 15:19:12,920][646832] InferenceWorker_p0-w0: resuming experience collection (2050 times) +[2026-06-04 15:19:13,221][646832] Updated weights for policy 0, policy_version 43773 (0.0006) +[2026-06-04 15:19:14,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10413.6). Total num frames: 22413312. Throughput: 0: 10217.3. Samples: 22415360. Policy #0 lag: (min: 4.0, avg: 7.9, max: 68.0) +[2026-06-04 15:19:14,926][645820] Avg episode reward: [(0, '11151.900')] +[2026-06-04 15:19:19,058][646832] Updated weights for policy 0, policy_version 43841 (0.0012) +[2026-06-04 15:19:19,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 22478848. Throughput: 0: 10194.5. Samples: 22478336. Policy #0 lag: (min: 4.0, avg: 7.9, max: 68.0) +[2026-06-04 15:19:19,926][645820] Avg episode reward: [(0, '11167.550')] +[2026-06-04 15:19:22,401][646832] Updated weights for policy 0, policy_version 43922 (0.0010) +[2026-06-04 15:19:24,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10103.5, 300 sec: 10330.3). Total num frames: 22511616. Throughput: 0: 10240.0. Samples: 22509568. Policy #0 lag: (min: 4.0, avg: 7.9, max: 68.0) +[2026-06-04 15:19:24,926][645820] Avg episode reward: [(0, '11279.400')] +[2026-06-04 15:19:25,799][646832] Updated weights for policy 0, policy_version 44016 (0.0010) +[2026-06-04 15:19:29,115][646832] Updated weights for policy 0, policy_version 44095 (0.0009) +[2026-06-04 15:19:29,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10441.3). Total num frames: 22577152. Throughput: 0: 10205.9. Samples: 22569984. Policy #0 lag: (min: 12.0, avg: 16.6, max: 76.0) +[2026-06-04 15:19:29,926][645820] Avg episode reward: [(0, '11294.700')] +[2026-06-04 15:19:34,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10330.3). Total num frames: 22609920. Throughput: 0: 10228.6. Samples: 22631936. Policy #0 lag: (min: 12.0, avg: 16.6, max: 76.0) +[2026-06-04 15:19:34,926][645820] Avg episode reward: [(0, '11267.150')] +[2026-06-04 15:19:35,095][646832] Updated weights for policy 0, policy_version 44176 (0.0008) +[2026-06-04 15:19:38,435][646832] Updated weights for policy 0, policy_version 44278 (0.0008) +[2026-06-04 15:19:39,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10413.6). Total num frames: 22675456. Throughput: 0: 10262.7. Samples: 22663680. Policy #0 lag: (min: 12.0, avg: 16.6, max: 76.0) +[2026-06-04 15:19:39,926][645820] Avg episode reward: [(0, '11301.500')] +[2026-06-04 15:19:41,916][646832] Updated weights for policy 0, policy_version 44352 (0.0011) +[2026-06-04 15:19:44,925][645820] Fps is (10 sec: 11468.8, 60 sec: 10103.5, 300 sec: 10385.8). Total num frames: 22724608. Throughput: 0: 10205.9. Samples: 22723072. Policy #0 lag: (min: 12.0, avg: 16.6, max: 76.0) +[2026-06-04 15:19:44,926][645820] Avg episode reward: [(0, '11454.650')] +[2026-06-04 15:19:48,095][646832] Updated weights for policy 0, policy_version 44464 (0.0010) +[2026-06-04 15:19:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 22773760. Throughput: 0: 10262.8. Samples: 22785024. Policy #0 lag: (min: 12.0, avg: 16.6, max: 76.0) +[2026-06-04 15:19:49,926][645820] Avg episode reward: [(0, '11582.300')] +[2026-06-04 15:19:49,929][646750] Saving new best policy, reward=11582.300! +[2026-06-04 15:19:51,411][646832] Updated weights for policy 0, policy_version 44540 (0.0010) +[2026-06-04 15:19:54,925][645820] Fps is (10 sec: 11468.8, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 22839296. Throughput: 0: 10251.4. Samples: 22815232. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:19:54,926][645820] Avg episode reward: [(0, '11501.300')] +[2026-06-04 15:19:57,426][646832] Updated weights for policy 0, policy_version 44640 (0.0011) +[2026-06-04 15:19:59,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10240.0, 300 sec: 10330.3). Total num frames: 22872064. Throughput: 0: 10262.8. Samples: 22877184. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:19:59,926][645820] Avg episode reward: [(0, '11350.200')] +[2026-06-04 15:20:01,083][646832] Updated weights for policy 0, policy_version 44731 (0.0010) +[2026-06-04 15:20:04,261][646832] Updated weights for policy 0, policy_version 44800 (0.0009) +[2026-06-04 15:20:04,925][645820] Fps is (10 sec: 9830.6, 60 sec: 10376.6, 300 sec: 10330.3). Total num frames: 22937600. Throughput: 0: 10251.4. Samples: 22939648. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:20:04,925][645820] Avg episode reward: [(0, '11598.050')] +[2026-06-04 15:20:04,928][646750] Saving new best policy, reward=11598.050! +[2026-06-04 15:20:06,846][646750] Signal inference workers to stop experience collection... (2100 times) +[2026-06-04 15:20:06,872][646832] InferenceWorker_p0-w0: stopping experience collection (2100 times) +[2026-06-04 15:20:06,978][646750] Signal inference workers to resume experience collection... (2100 times) +[2026-06-04 15:20:06,979][646832] InferenceWorker_p0-w0: resuming experience collection (2100 times) +[2026-06-04 15:20:09,925][645820] Fps is (10 sec: 9830.5, 60 sec: 9966.9, 300 sec: 10330.3). Total num frames: 22970368. Throughput: 0: 10251.4. Samples: 22970880. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:20:09,926][645820] Avg episode reward: [(0, '11649.350')] +[2026-06-04 15:20:09,930][646750] Saving new best policy, reward=11649.350! +[2026-06-04 15:20:10,166][646832] Updated weights for policy 0, policy_version 44880 (0.0008) +[2026-06-04 15:20:13,618][646832] Updated weights for policy 0, policy_version 44976 (0.0011) +[2026-06-04 15:20:14,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.6, 300 sec: 10330.3). Total num frames: 23035904. Throughput: 0: 10296.9. Samples: 23033344. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:20:14,926][645820] Avg episode reward: [(0, '11972.350')] +[2026-06-04 15:20:14,930][646750] Saving new best policy, reward=11972.350! +[2026-06-04 15:20:16,836][646832] Updated weights for policy 0, policy_version 45047 (0.0010) +[2026-06-04 15:20:19,925][645820] Fps is (10 sec: 10649.6, 60 sec: 9966.9, 300 sec: 10246.9). Total num frames: 23076864. Throughput: 0: 10274.1. Samples: 23094272. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 15:20:19,926][645820] Avg episode reward: [(0, '11786.050')] +[2026-06-04 15:20:20,285][646832] Updated weights for policy 0, policy_version 45120 (0.0009) +[2026-06-04 15:20:24,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 23134208. Throughput: 0: 10274.1. Samples: 23126016. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 15:20:24,926][645820] Avg episode reward: [(0, '11929.800')] +[2026-06-04 15:20:25,701][646832] Updated weights for policy 0, policy_version 45200 (0.0010) +[2026-06-04 15:20:28,746][646832] Updated weights for policy 0, policy_version 45265 (0.0010) +[2026-06-04 15:20:29,925][645820] Fps is (10 sec: 12288.1, 60 sec: 10376.6, 300 sec: 10330.3). Total num frames: 23199744. Throughput: 0: 10433.5. Samples: 23192576. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 15:20:29,925][645820] Avg episode reward: [(0, '11962.700')] +[2026-06-04 15:20:31,886][646832] Updated weights for policy 0, policy_version 45360 (0.0010) +[2026-06-04 15:20:34,925][645820] Fps is (10 sec: 12288.1, 60 sec: 10786.1, 300 sec: 10330.3). Total num frames: 23257088. Throughput: 0: 10547.2. Samples: 23259648. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 15:20:34,926][645820] Avg episode reward: [(0, '11607.550')] +[2026-06-04 15:20:34,982][646832] Updated weights for policy 0, policy_version 45433 (0.0007) +[2026-06-04 15:20:38,123][646832] Updated weights for policy 0, policy_version 45504 (0.0005) +[2026-06-04 15:20:39,925][645820] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 23298048. Throughput: 0: 10604.1. Samples: 23292416. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 15:20:39,926][645820] Avg episode reward: [(0, '11950.150')] +[2026-06-04 15:20:43,868][646832] Updated weights for policy 0, policy_version 45600 (0.0007) +[2026-06-04 15:20:44,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10649.6, 300 sec: 10330.3). Total num frames: 23363584. Throughput: 0: 10661.0. Samples: 23356928. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 15:20:44,926][645820] Avg episode reward: [(0, '12106.050')] +[2026-06-04 15:20:44,930][646750] Saving new best policy, reward=12106.050! +[2026-06-04 15:20:47,354][646832] Updated weights for policy 0, policy_version 45689 (0.0010) +[2026-06-04 15:20:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10302.5). Total num frames: 23396352. Throughput: 0: 10649.6. Samples: 23418880. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 15:20:49,926][645820] Avg episode reward: [(0, '12210.300')] +[2026-06-04 15:20:50,095][646750] Saving new best policy, reward=12210.300! +[2026-06-04 15:20:50,473][646832] Updated weights for policy 0, policy_version 45760 (0.0009) +[2026-06-04 15:20:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 23461888. Throughput: 0: 10672.4. Samples: 23451136. Policy #0 lag: (min: 8.0, avg: 12.4, max: 72.0) +[2026-06-04 15:20:54,926][645820] Avg episode reward: [(0, '12037.250')] +[2026-06-04 15:20:56,130][646832] Updated weights for policy 0, policy_version 45840 (0.0010) +[2026-06-04 15:20:56,269][646750] Signal inference workers to stop experience collection... (2150 times) +[2026-06-04 15:20:56,298][646832] InferenceWorker_p0-w0: stopping experience collection (2150 times) +[2026-06-04 15:20:56,393][646750] Signal inference workers to resume experience collection... (2150 times) +[2026-06-04 15:20:56,393][646832] InferenceWorker_p0-w0: resuming experience collection (2150 times) +[2026-06-04 15:20:59,414][646832] Updated weights for policy 0, policy_version 45920 (0.0009) +[2026-06-04 15:20:59,925][645820] Fps is (10 sec: 13107.4, 60 sec: 10922.7, 300 sec: 10358.0). Total num frames: 23527424. Throughput: 0: 10695.1. Samples: 23514624. Policy #0 lag: (min: 8.0, avg: 12.4, max: 72.0) +[2026-06-04 15:20:59,926][645820] Avg episode reward: [(0, '11923.100')] +[2026-06-04 15:21:02,593][646832] Updated weights for policy 0, policy_version 45984 (0.0010) +[2026-06-04 15:21:04,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 23560192. Throughput: 0: 10729.2. Samples: 23577088. Policy #0 lag: (min: 8.0, avg: 12.4, max: 72.0) +[2026-06-04 15:21:04,926][645820] Avg episode reward: [(0, '12206.050')] +[2026-06-04 15:21:05,763][646832] Updated weights for policy 0, policy_version 46064 (0.0011) +[2026-06-04 15:21:09,035][646832] Updated weights for policy 0, policy_version 46141 (0.0009) +[2026-06-04 15:21:09,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10922.7, 300 sec: 10330.3). Total num frames: 23625728. Throughput: 0: 10717.9. Samples: 23608320. Policy #0 lag: (min: 8.0, avg: 12.4, max: 72.0) +[2026-06-04 15:21:09,926][645820] Avg episode reward: [(0, '12227.400')] +[2026-06-04 15:21:09,929][646750] Saving new best policy, reward=12227.400! +[2026-06-04 15:21:14,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 23658496. Throughput: 0: 10615.4. Samples: 23670272. Policy #0 lag: (min: 8.0, avg: 12.4, max: 72.0) +[2026-06-04 15:21:14,926][645820] Avg episode reward: [(0, '12624.750')] +[2026-06-04 15:21:15,156][646750] Saving new best policy, reward=12624.750! +[2026-06-04 15:21:15,157][646832] Updated weights for policy 0, policy_version 46240 (0.0010) +[2026-06-04 15:21:18,434][646832] Updated weights for policy 0, policy_version 46320 (0.0010) +[2026-06-04 15:21:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10786.1, 300 sec: 10330.3). Total num frames: 23724032. Throughput: 0: 10501.7. Samples: 23732224. Policy #0 lag: (min: 8.0, avg: 12.4, max: 72.0) +[2026-06-04 15:21:19,926][645820] Avg episode reward: [(0, '12580.300')] +[2026-06-04 15:21:21,840][646832] Updated weights for policy 0, policy_version 46400 (0.0010) +[2026-06-04 15:21:24,925][645820] Fps is (10 sec: 12288.0, 60 sec: 10786.1, 300 sec: 10413.6). Total num frames: 23781376. Throughput: 0: 10444.8. Samples: 23762432. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 15:21:24,926][645820] Avg episode reward: [(0, '12685.200')] +[2026-06-04 15:21:24,978][646750] Saving new best policy, reward=12685.200! +[2026-06-04 15:21:27,695][646832] Updated weights for policy 0, policy_version 46480 (0.0009) +[2026-06-04 15:21:29,925][645820] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 23822336. Throughput: 0: 10399.3. Samples: 23824896. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 15:21:29,926][645820] Avg episode reward: [(0, '12632.850')] +[2026-06-04 15:21:29,930][646750] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed13/checkpoint_p0/checkpoint_000046528_23822336.pth... +[2026-06-04 15:21:30,815][646832] Updated weights for policy 0, policy_version 46545 (0.0005) +[2026-06-04 15:21:34,161][646832] Updated weights for policy 0, policy_version 46643 (0.0008) +[2026-06-04 15:21:34,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10513.1, 300 sec: 10413.6). Total num frames: 23887872. Throughput: 0: 10444.8. Samples: 23888896. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 15:21:34,926][645820] Avg episode reward: [(0, '12552.900')] +[2026-06-04 15:21:37,230][646832] Updated weights for policy 0, policy_version 46705 (0.0005) +[2026-06-04 15:21:39,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 23920640. Throughput: 0: 10456.2. Samples: 23921664. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 15:21:39,926][645820] Avg episode reward: [(0, '12776.400')] +[2026-06-04 15:21:40,085][646750] Saving new best policy, reward=12776.400! +[2026-06-04 15:21:40,423][646832] Updated weights for policy 0, policy_version 46784 (0.0008) +[2026-06-04 15:21:44,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10358.0). Total num frames: 23986176. Throughput: 0: 10490.3. Samples: 23986688. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 15:21:44,926][645820] Avg episode reward: [(0, '12796.100')] +[2026-06-04 15:21:44,929][646750] Saving new best policy, reward=12796.100! +[2026-06-04 15:21:46,252][646832] Updated weights for policy 0, policy_version 46864 (0.0010) +[2026-06-04 15:21:49,533][646750] Signal inference workers to stop experience collection... (2200 times) +[2026-06-04 15:21:49,563][646832] InferenceWorker_p0-w0: stopping experience collection (2200 times) +[2026-06-04 15:21:49,647][646750] Signal inference workers to resume experience collection... (2200 times) +[2026-06-04 15:21:49,648][646832] InferenceWorker_p0-w0: resuming experience collection (2200 times) +[2026-06-04 15:21:49,763][646832] Updated weights for policy 0, policy_version 46960 (0.0010) +[2026-06-04 15:21:49,925][645820] Fps is (10 sec: 12288.0, 60 sec: 10786.1, 300 sec: 10413.6). Total num frames: 24043520. Throughput: 0: 10456.2. Samples: 24047616. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 15:21:49,926][645820] Avg episode reward: [(0, '13003.800')] +[2026-06-04 15:21:49,953][646750] Saving new best policy, reward=13003.800! +[2026-06-04 15:21:52,800][646832] Updated weights for policy 0, policy_version 47026 (0.0009) +[2026-06-04 15:21:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 24084480. Throughput: 0: 10478.9. Samples: 24079872. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 15:21:54,926][645820] Avg episode reward: [(0, '12933.950')] +[2026-06-04 15:21:56,010][646832] Updated weights for policy 0, policy_version 47100 (0.0010) +[2026-06-04 15:21:59,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 24150016. Throughput: 0: 10501.7. Samples: 24142848. Policy #0 lag: (min: 8.0, avg: 12.4, max: 72.0) +[2026-06-04 15:21:59,926][645820] Avg episode reward: [(0, '13127.300')] +[2026-06-04 15:21:59,930][646750] Saving new best policy, reward=13127.300! +[2026-06-04 15:22:01,983][646832] Updated weights for policy 0, policy_version 47184 (0.0010) +[2026-06-04 15:22:04,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 24182784. Throughput: 0: 10467.5. Samples: 24203264. Policy #0 lag: (min: 8.0, avg: 12.4, max: 72.0) +[2026-06-04 15:22:04,926][645820] Avg episode reward: [(0, '13045.750')] +[2026-06-04 15:22:05,377][646832] Updated weights for policy 0, policy_version 47265 (0.0009) +[2026-06-04 15:22:08,837][646832] Updated weights for policy 0, policy_version 47355 (0.0009) +[2026-06-04 15:22:09,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 24248320. Throughput: 0: 10456.2. Samples: 24232960. Policy #0 lag: (min: 8.0, avg: 12.4, max: 72.0) +[2026-06-04 15:22:09,926][645820] Avg episode reward: [(0, '13086.700')] +[2026-06-04 15:22:14,925][645820] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 24281088. Throughput: 0: 10410.7. Samples: 24293376. Policy #0 lag: (min: 8.0, avg: 12.4, max: 72.0) +[2026-06-04 15:22:14,926][645820] Avg episode reward: [(0, '13167.750')] +[2026-06-04 15:22:15,031][646832] Updated weights for policy 0, policy_version 47440 (0.0011) +[2026-06-04 15:22:15,160][646750] Saving new best policy, reward=13167.750! +[2026-06-04 15:22:18,544][646832] Updated weights for policy 0, policy_version 47536 (0.0011) +[2026-06-04 15:22:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 24346624. Throughput: 0: 10331.0. Samples: 24353792. Policy #0 lag: (min: 8.0, avg: 12.4, max: 72.0) +[2026-06-04 15:22:19,926][645820] Avg episode reward: [(0, '13072.350')] +[2026-06-04 15:22:21,928][646832] Updated weights for policy 0, policy_version 47616 (0.0011) +[2026-06-04 15:22:24,925][645820] Fps is (10 sec: 12288.0, 60 sec: 10376.5, 300 sec: 10413.6). Total num frames: 24403968. Throughput: 0: 10262.7. Samples: 24383488. Policy #0 lag: (min: 8.0, avg: 12.4, max: 72.0) +[2026-06-04 15:22:24,926][645820] Avg episode reward: [(0, '13455.250')] +[2026-06-04 15:22:25,015][646750] Saving new best policy, reward=13455.250! +[2026-06-04 15:22:27,977][646832] Updated weights for policy 0, policy_version 47713 (0.0011) +[2026-06-04 15:22:29,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10358.0). Total num frames: 24444928. Throughput: 0: 10217.2. Samples: 24446464. Policy #0 lag: (min: 1.0, avg: 4.3, max: 65.0) +[2026-06-04 15:22:29,926][645820] Avg episode reward: [(0, '13267.050')] +[2026-06-04 15:22:31,459][646832] Updated weights for policy 0, policy_version 47805 (0.0010) +[2026-06-04 15:22:34,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 24510464. Throughput: 0: 10240.0. Samples: 24508416. Policy #0 lag: (min: 1.0, avg: 4.3, max: 65.0) +[2026-06-04 15:22:34,926][645820] Avg episode reward: [(0, '13240.950')] +[2026-06-04 15:22:37,668][646832] Updated weights for policy 0, policy_version 47904 (0.0011) +[2026-06-04 15:22:39,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 24543232. Throughput: 0: 10205.9. Samples: 24539136. Policy #0 lag: (min: 1.0, avg: 4.3, max: 65.0) +[2026-06-04 15:22:39,926][645820] Avg episode reward: [(0, '12986.600')] +[2026-06-04 15:22:41,221][646832] Updated weights for policy 0, policy_version 47986 (0.0010) +[2026-06-04 15:22:43,922][646750] Signal inference workers to stop experience collection... (2250 times) +[2026-06-04 15:22:43,950][646832] InferenceWorker_p0-w0: stopping experience collection (2250 times) +[2026-06-04 15:22:44,062][646750] Signal inference workers to resume experience collection... (2250 times) +[2026-06-04 15:22:44,062][646832] InferenceWorker_p0-w0: resuming experience collection (2250 times) +[2026-06-04 15:22:44,380][646832] Updated weights for policy 0, policy_version 48053 (0.0011) +[2026-06-04 15:22:44,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 24608768. Throughput: 0: 10126.2. Samples: 24598528. Policy #0 lag: (min: 1.0, avg: 4.3, max: 65.0) +[2026-06-04 15:22:44,926][645820] Avg episode reward: [(0, '12911.100')] +[2026-06-04 15:22:47,700][646832] Updated weights for policy 0, policy_version 48127 (0.0010) +[2026-06-04 15:22:49,925][645820] Fps is (10 sec: 9830.4, 60 sec: 9966.9, 300 sec: 10330.3). Total num frames: 24641536. Throughput: 0: 10149.0. Samples: 24659968. Policy #0 lag: (min: 1.0, avg: 4.3, max: 65.0) +[2026-06-04 15:22:49,926][645820] Avg episode reward: [(0, '13377.650')] +[2026-06-04 15:22:53,574][646832] Updated weights for policy 0, policy_version 48193 (0.0006) +[2026-06-04 15:22:54,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 24707072. Throughput: 0: 10171.7. Samples: 24690688. Policy #0 lag: (min: 1.0, avg: 4.3, max: 65.0) +[2026-06-04 15:22:54,926][645820] Avg episode reward: [(0, '13343.500')] +[2026-06-04 15:22:56,743][646832] Updated weights for policy 0, policy_version 48272 (0.0007) +[2026-06-04 15:22:59,824][646832] Updated weights for policy 0, policy_version 48353 (0.0008) +[2026-06-04 15:22:59,925][645820] Fps is (10 sec: 12288.0, 60 sec: 10240.0, 300 sec: 10413.6). Total num frames: 24764416. Throughput: 0: 10228.6. Samples: 24753664. Policy #0 lag: (min: 12.0, avg: 16.6, max: 76.0) +[2026-06-04 15:22:59,926][645820] Avg episode reward: [(0, '13420.650')] +[2026-06-04 15:23:02,802][646832] Updated weights for policy 0, policy_version 48432 (0.0008) +[2026-06-04 15:23:04,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 24805376. Throughput: 0: 10422.0. Samples: 24822784. Policy #0 lag: (min: 12.0, avg: 16.6, max: 76.0) +[2026-06-04 15:23:04,926][645820] Avg episode reward: [(0, '13124.000')] +[2026-06-04 15:23:05,847][646832] Updated weights for policy 0, policy_version 48510 (0.0010) +[2026-06-04 15:23:09,925][645820] Fps is (10 sec: 10649.6, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 24870912. Throughput: 0: 10490.3. Samples: 24855552. Policy #0 lag: (min: 12.0, avg: 16.6, max: 76.0) +[2026-06-04 15:23:09,926][645820] Avg episode reward: [(0, '13130.800')] +[2026-06-04 15:23:11,575][646832] Updated weights for policy 0, policy_version 48609 (0.0011) +[2026-06-04 15:23:14,665][646832] Updated weights for policy 0, policy_version 48692 (0.0010) +[2026-06-04 15:23:14,925][645820] Fps is (10 sec: 13107.2, 60 sec: 10922.7, 300 sec: 10441.3). Total num frames: 24936448. Throughput: 0: 10570.0. Samples: 24922112. Policy #0 lag: (min: 12.0, avg: 16.6, max: 76.0) +[2026-06-04 15:23:14,926][645820] Avg episode reward: [(0, '13676.350')] +[2026-06-04 15:23:14,929][646750] Saving new best policy, reward=13676.350! +[2026-06-04 15:23:19,925][645820] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10385.8). Total num frames: 24969216. Throughput: 0: 10615.5. Samples: 24986112. Policy #0 lag: (min: 12.0, avg: 16.6, max: 76.0) +[2026-06-04 15:23:19,926][645820] Avg episode reward: [(0, '13897.800')] +[2026-06-04 15:23:19,930][646750] Saving new best policy, reward=13897.800! +[2026-06-04 15:23:20,378][646832] Updated weights for policy 0, policy_version 48769 (0.0010) +[2026-06-04 15:23:23,358][646750] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 +[2026-06-04 15:23:23,360][646833] Stopping RolloutWorker_w0... +[2026-06-04 15:23:23,360][646750] Stopping Batcher_0... +[2026-06-04 15:23:23,360][646833] Loop rollout_proc0_evt_loop terminating... +[2026-06-04 15:23:23,360][645820] Component RolloutWorker_w0 stopped! +[2026-06-04 15:23:23,360][646750] Loop batcher_evt_loop terminating... +[2026-06-04 15:23:23,361][645820] Component Batcher_0 stopped! +[2026-06-04 15:23:23,446][646750] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 +[2026-06-04 15:23:23,447][646750] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed13/checkpoint_p0/checkpoint_000048864_25018368.pth... +[2026-06-04 15:23:23,471][646750] Saving new best policy, reward=14215.050! +[2026-06-04 15:23:23,482][646832] Weights refcount: 2 0 +[2026-06-04 15:23:23,488][646832] Stopping InferenceWorker_p0-w0... +[2026-06-04 15:23:23,488][646832] Loop inference_proc0-0_evt_loop terminating... +[2026-06-04 15:23:23,488][645820] Component InferenceWorker_p0-w0 stopped! +[2026-06-04 15:23:23,559][646750] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 +[2026-06-04 15:23:23,559][646750] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed13/checkpoint_p0/checkpoint_000048880_25026560.pth... +[2026-06-04 15:23:23,577][646750] Removing results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride6_seed13/checkpoint_p0/checkpoint_000010240_5242880.pth +[2026-06-04 15:23:23,579][646750] Stopping LearnerWorker_p0... +[2026-06-04 15:23:23,580][646750] Loop learner_proc0_evt_loop terminating... +[2026-06-04 15:23:23,580][645820] Component LearnerWorker_p0 stopped! +[2026-06-04 15:23:23,580][645820] Waiting for process learner_proc0 to stop... +[2026-06-04 15:23:24,483][645820] Waiting for process inference_proc0-0 to join... +[2026-06-04 15:23:24,484][645820] Waiting for process rollout_proc0 to join... +[2026-06-04 15:23:24,485][645820] Batcher 0 profile tree view: +batching: 1.5267, releasing_batches: 1.5581 +[2026-06-04 15:23:24,486][645820] InferenceWorker_p0-w0 profile tree view: +wait_policy: 0.0051 + wait_policy_total: 2211.4325 +update_model: 7.8367 + weight_update: 0.0011 +one_step: 0.0042 + handle_policy_step: 103.3140 + deserialize: 2.1561, stack: 0.1120, obs_to_device_normalize: 21.9279, forward: 53.1412, prepare_outputs: 16.7012, send_messages: 3.5362 +[2026-06-04 15:23:24,486][645820] Learner 0 profile tree view: +misc: 0.0094, prepare_batch: 60.4604 +train: 368.5191 + epoch_init: 0.0596, minibatch_init: 2.8852, losses_postprocess: 85.6884, kl_divergence: 80.9215, update: 122.2729, after_optimizer: 28.1553 + calculate_losses: 44.9414 + losses_init: 0.0860, forward_head: 14.0373, bptt_initial: 0.4438, bptt: 0.4743, tail: 10.1653, advantages_returns: 3.3533, losses: 12.9126 +[2026-06-04 15:23:24,487][645820] RolloutWorker_w0 profile tree view: +wait_for_trajectories: 0.0371, enqueue_policy_requests: 8.4696, process_policy_outputs: 4.1456, env_step: 2258.4919, finalize_trajectories: 0.0822, complete_rollouts: 0.0801 +post_env_step: 12.1827 + process_env_step: 4.3683 +[2026-06-04 15:23:24,488][645820] Loop Runner_EvtLoop terminating... +[2026-06-04 15:23:24,489][645820] Runner profile tree view: +main_loop: 2510.4618 +[2026-06-04 15:23:24,489][645820] Collected {0: 25026560}, FPS: 9968.9