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"latency_raw_frames": 4, "length": 4260, "raw_frames": 21300, "raw_return": 10780.0, "return": 10780.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 58, "episode_idx": 17, "latency_raw_frames": 4, "length": 4071, "raw_frames": 20355, "raw_return": 11570.0, "return": 11570.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 116, "episode_idx": 18, "latency_raw_frames": 4, "length": 7648, "raw_frames": 38240, "raw_return": 25070.0, "return": 25070.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 92, "episode_idx": 18, "latency_raw_frames": 4, "length": 4685, "raw_frames": 23425, "raw_return": 13380.0, "return": 13380.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 428, "episode_idx": 21, "latency_raw_frames": 4, "length": 7176, "raw_frames": 35880, "raw_return": 23450.0, "return": 23450.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 167, "episode_idx": 18, "latency_raw_frames": 4, "length": 3453, "raw_frames": 17265, "raw_return": 8455.0, "return": 8455.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 19, "episode_idx": 18, "latency_raw_frames": 4, "length": 8130, "raw_frames": 40650, "raw_return": 28590.0, "return": 28590.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 491, "episode_idx": 19, "latency_raw_frames": 4, "length": 3850, "raw_frames": 19250, "raw_return": 9325.0, "return": 9325.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 146, "episode_idx": 18, "latency_raw_frames": 4, "length": 5210, "raw_frames": 26050, "raw_return": 14420.0, "return": 14420.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 170, "episode_idx": 16, "latency_raw_frames": 4, "length": 9646, "raw_frames": 48230, "raw_return": 37550.0, "return": 37550.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 293, "episode_idx": 19, "latency_raw_frames": 4, "length": 8683, "raw_frames": 43415, "raw_return": 30105.0, "return": 30105.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 224, "episode_idx": 17, "latency_raw_frames": 4, "length": 8712, "raw_frames": 43560, "raw_return": 29605.0, "return": 29605.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 384, "episode_idx": 17, "latency_raw_frames": 4, "length": 7647, "raw_frames": 38235, "raw_return": 23345.0, "return": 23345.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 431, "episode_idx": 19, "latency_raw_frames": 4, "length": 4520, "raw_frames": 22600, "raw_return": 9770.0, "return": 9770.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 425, "episode_idx": 18, "latency_raw_frames": 4, "length": 3863, "raw_frames": 19315, "raw_return": 9800.0, "return": 9800.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 118, "episode_idx": 20, "latency_raw_frames": 4, "length": 4564, "raw_frames": 22820, "raw_return": 12350.0, "return": 12350.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 309, "episode_idx": 19, "latency_raw_frames": 4, "length": 4475, "raw_frames": 22375, "raw_return": 12170.0, "return": 12170.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 40, "episode_idx": 19, "latency_raw_frames": 4, "length": 6629, "raw_frames": 33145, "raw_return": 21825.0, "return": 21825.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 94, "episode_idx": 18, "latency_raw_frames": 4, "length": 9305, "raw_frames": 46525, "raw_return": 31580.0, "return": 31580.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 88, "episode_idx": 18, "latency_raw_frames": 4, "length": 8300, "raw_frames": 41500, "raw_return": 30105.0, "return": 30105.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 475, "episode_idx": 19, "latency_raw_frames": 4, "length": 9442, "raw_frames": 47210, "raw_return": 31990.0, "return": 31990.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 338, "episode_idx": 20, "latency_raw_frames": 4, "length": 4025, "raw_frames": 20125, "raw_return": 11320.0, "return": 11320.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 222, "episode_idx": 20, "latency_raw_frames": 4, "length": 4690, "raw_frames": 23450, "raw_return": 13340.0, "return": 13340.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 368, "episode_idx": 21, "latency_raw_frames": 4, "length": 5947, "raw_frames": 29735, "raw_return": 16740.0, "return": 16740.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 39, "episode_idx": 21, "latency_raw_frames": 4, "length": 6892, "raw_frames": 34460, "raw_return": 24090.0, "return": 24090.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 352, "episode_idx": 21, "latency_raw_frames": 4, "length": 6362, "raw_frames": 31810, "raw_return": 19750.0, "return": 19750.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 259, "episode_idx": 20, "latency_raw_frames": 4, "length": 9074, "raw_frames": 45370, "raw_return": 31150.0, "return": 31150.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 394, "episode_idx": 23, "latency_raw_frames": 4, "length": 4381, "raw_frames": 21905, "raw_return": 11415.0, "return": 11415.0, "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:fixed_l4:fs4:obs12:stride5:seed14/git.diff b/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:fixed_l4:fs4:obs12:stride5:seed14/git.diff index e31c2cc4acb38cc525638b8a634a718663a6e545..6b0a28eb57ace58363ce8ce0aafa46e1b6cc8c35 100644 --- a/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:fixed_l4:fs4:obs12:stride5:seed14/git.diff +++ b/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:fixed_l4:fs4:obs12:stride5:seed14/git.diff @@ -1,13 +1,7 @@ -diff --git a/training/demon_attack_sf/integration.py b/training/demon_attack_sf/integration.py -index 8a526a6..8e90903 100644 ---- a/training/demon_attack_sf/integration.py -+++ b/training/demon_attack_sf/integration.py -@@ -344,7 +344,7 @@ def build_cli_args_from_config(config: dict) -> list[str]: - append_cli_arg(args, "--clip_reward", env_cfg["clip_reward"]) - append_cli_arg(args, "--repeat_action_probability", env_cfg["repeat_action_probability"]) - append_cli_arg(args, "--full_action_space", env_cfg["full_action_space"]) -- append_cli_arg(args, "--max_episode_steps", env_cfg["max_episode_steps"]) -+ append_cli_arg(args, "--max_episode_steps", env_cfg.get("max_episode_steps")) - append_cli_arg(args, "--simulator", env_cfg["simulator"]) - append_cli_arg(args, "--gpu-env-device", env_cfg["gpu_env_device"]) - # --gpu-env-batch-size is emitted centrally in build_common_sf_args from num_envs_per_worker. +diff --git a/starVLA b/starVLA +index 538fd52..9d8c567 160000 +--- a/starVLA ++++ b/starVLA +@@ -1 +1 @@ +-Subproject commit 538fd523fe4fa4e7abce3201611919314bc6b664 ++Subproject commit 9d8c567188a3aa2a825296016cf17f3977101d8f diff --git a/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:fixed_l4:fs4:obs12:stride5:seed14/sf_log.txt b/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:fixed_l4:fs4:obs12:stride5:seed14/sf_log.txt index 80b06c7d9a0b7b9e5d7dda52ba9c299cd8be9a3b..ee1baffb76d4a1b01aae7a7ab5337d2f2e2fa9bd 100644 --- a/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:fixed_l4:fs4:obs12:stride5:seed14/sf_log.txt +++ b/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:fixed_l4:fs4:obs12:stride5:seed14/sf_log.txt @@ -1,26 +1,26 @@ -[2026-06-02 23:16:35,514][543134] Saving configuration to results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride5_seed14/config.json... -[2026-06-02 23:16:35,582][543134] Using GPUs [0] for process 0 (actually maps to GPUs [1]) -[2026-06-02 23:16:35,583][543134] Rollout worker 0 uses device cuda:0 -[2026-06-02 23:16:36,473][543134] Using GPUs [0] for process 0 (actually maps to GPUs [1]) -[2026-06-02 23:16:36,473][543134] InferenceWorker_p0-w0: min num requests: 1 -[2026-06-02 23:16:36,478][543134] Using GPUs [0] for process 0 (actually maps to GPUs [1]) -[2026-06-02 23:16:36,479][543134] Starting all processes... -[2026-06-02 23:16:36,479][543134] Starting process learner_proc0 -[2026-06-02 23:16:37,543][543134] Starting all processes... -[2026-06-02 23:16:37,546][543134] Starting process inference_proc0-0 -[2026-06-02 23:16:37,547][543134] Starting process rollout_proc0 -[2026-06-02 23:16:38,038][544021] Using GPUs [0] for process 0 (actually maps to GPUs [1]) -[2026-06-02 23:16:38,038][544021] Set environment var CUDA_VISIBLE_DEVICES to '1' (GPU indices [0]) for learning process 0 -[2026-06-02 23:16:38,038][544021] Num visible devices: 1 -[2026-06-02 23:16:38,039][544021] Setting fixed seed 14 -[2026-06-02 23:16:38,040][544021] Using GPUs [0] for process 0 (actually maps to GPUs [1]) -[2026-06-02 23:16:38,040][544021] Initializing actor-critic model on device cuda:0 -[2026-06-02 23:16:38,040][544021] RunningMeanStd input shape: (4, 84, 84) -[2026-06-02 23:16:38,067][544021] RunningMeanStd input shape: (1,) -[2026-06-02 23:16:38,074][544021] ConvEncoder: input_channels=4 -[2026-06-02 23:16:38,135][544021] Conv encoder output size: 512 -[2026-06-02 23:16:38,136][544021] Created Actor Critic model with architecture: -[2026-06-02 23:16:38,136][544021] ActorCriticSharedWeights( +[2026-06-04 12:33:21,972][524087] Saving configuration to results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride5_seed14/config.json... +[2026-06-04 12:33:22,038][524087] Using GPUs [0] for process 0 (actually maps to GPUs [4]) +[2026-06-04 12:33:22,039][524087] Rollout worker 0 uses device cuda:0 +[2026-06-04 12:33:23,122][524087] Using GPUs [0] for process 0 (actually maps to GPUs [4]) +[2026-06-04 12:33:23,122][524087] InferenceWorker_p0-w0: min num requests: 1 +[2026-06-04 12:33:23,128][524087] Using GPUs [0] for process 0 (actually maps to GPUs [4]) +[2026-06-04 12:33:23,129][524087] Starting all processes... +[2026-06-04 12:33:23,129][524087] Starting process learner_proc0 +[2026-06-04 12:33:24,425][524087] Starting all processes... +[2026-06-04 12:33:24,430][524087] Starting process inference_proc0-0 +[2026-06-04 12:33:24,430][524087] Starting process rollout_proc0 +[2026-06-04 12:33:25,041][525034] Using GPUs [0] for process 0 (actually maps to GPUs [4]) +[2026-06-04 12:33:25,041][525034] Set environment var CUDA_VISIBLE_DEVICES to '4' (GPU indices [0]) for learning process 0 +[2026-06-04 12:33:25,042][525034] Num visible devices: 1 +[2026-06-04 12:33:25,042][525034] Setting fixed seed 14 +[2026-06-04 12:33:25,044][525034] Using GPUs [0] for process 0 (actually maps to GPUs [4]) +[2026-06-04 12:33:25,044][525034] Initializing actor-critic model on device cuda:0 +[2026-06-04 12:33:25,044][525034] RunningMeanStd input shape: (4, 84, 84) +[2026-06-04 12:33:25,074][525034] RunningMeanStd input shape: (1,) +[2026-06-04 12:33:25,084][525034] ConvEncoder: input_channels=4 +[2026-06-04 12:33:25,155][525034] Conv encoder output size: 512 +[2026-06-04 12:33:25,156][525034] Created Actor Critic model with architecture: +[2026-06-04 12:33:25,157][525034] ActorCriticSharedWeights( (obs_normalizer): ObservationNormalizer( (running_mean_std): RunningMeanStdDictInPlace( (running_mean_std): ModuleDict( @@ -61,1768 +61,1963 @@ (distribution_linear): Linear(in_features=512, out_features=6, bias=True) ) ) -[2026-06-02 23:16:38,139][544021] Using optimizer -[2026-06-02 23:16:38,842][544021] No checkpoints found -[2026-06-02 23:16:38,843][544021] Did not load from checkpoint, starting from scratch! -[2026-06-02 23:16:38,843][544021] Initialized policy 0 weights for model version 0 -[2026-06-02 23:16:38,846][544021] LearnerWorker_p0 finished initialization! -[2026-06-02 23:16:38,846][544021] Using GPUs [0] for process 0 (actually maps to GPUs [1]) -[2026-06-02 23:16:39,212][544093] Using GPUs [0] for process 0 (actually maps to GPUs [1]) -[2026-06-02 23:16:39,212][544093] Set environment var CUDA_VISIBLE_DEVICES to '1' (GPU indices [0]) for inference process 0 -[2026-06-02 23:16:39,212][544093] Num visible devices: 1 -[2026-06-02 23:16:39,214][544093] RunningMeanStd input shape: (4, 84, 84) -[2026-06-02 23:16:39,220][544094] 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] -[2026-06-02 23:16:39,220][544094] Using GPUs [0] for process 0 (actually maps to GPUs [1]) -[2026-06-02 23:16:39,220][544094] Set environment var CUDA_VISIBLE_DEVICES to '1' (GPU indices [0]) for actor process 0 -[2026-06-02 23:16:39,220][544094] Num visible devices: 1 -[2026-06-02 23:16:39,239][544093] RunningMeanStd input shape: (1,) -[2026-06-02 23:16:39,247][544093] ConvEncoder: input_channels=4 -[2026-06-02 23:16:39,307][544093] Conv encoder output size: 512 -[2026-06-02 23:16:39,311][543134] Inference worker 0-0 is ready! -[2026-06-02 23:16:39,312][543134] All inference workers are ready! Signal rollout workers to start! -[2026-06-02 23:16:39,313][544094] EnvRunner 0-0 uses policy 0 -[2026-06-02 23:16:41,898][544021] Signal inference workers to stop experience collection... -[2026-06-02 23:16:41,924][544093] InferenceWorker_p0-w0: stopping experience collection -[2026-06-02 23:16:42,357][543134] 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) -[2026-06-02 23:16:43,035][544021] Signal inference workers to resume experience collection... -[2026-06-02 23:16:43,036][544093] InferenceWorker_p0-w0: resuming experience collection -[2026-06-02 23:16:45,042][544093] Updated weights for policy 0, policy_version 66 (0.0035) -[2026-06-02 23:16:47,194][544093] Updated weights for policy 0, policy_version 130 (0.0009) -[2026-06-02 23:16:47,357][543134] Fps is (10 sec: 14745.4, 60 sec: 14745.4, 300 sec: 14745.4). Total num frames: 73728. Throughput: 0: 6860.7. Samples: 68096. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:16:47,358][543134] Avg episode reward: [(0, '32.000')] -[2026-06-02 23:16:47,741][544093] Updated weights for policy 0, policy_version 192 (0.0008) -[2026-06-02 23:16:52,084][544093] Updated weights for policy 0, policy_version 272 (0.0010) -[2026-06-02 23:16:52,357][543134] Fps is (10 sec: 15564.8, 60 sec: 15564.8, 300 sec: 15564.8). Total num frames: 155648. Throughput: 0: 12134.4. Samples: 155136. Policy #0 lag: (min: 14.0, avg: 19.0, max: 78.0) -[2026-06-02 23:16:52,358][543134] Avg episode reward: [(0, '58.095')] -[2026-06-02 23:16:52,498][544021] Saving new best policy, reward=58.095! -[2026-06-02 23:16:54,847][544093] Updated weights for policy 0, policy_version 368 (0.0016) -[2026-06-02 23:16:56,465][543134] Heartbeat connected on Batcher_0 -[2026-06-02 23:16:56,468][543134] Heartbeat connected on LearnerWorker_p0 -[2026-06-02 23:16:56,492][543134] Heartbeat connected on RolloutWorker_w0 -[2026-06-02 23:16:56,494][543134] Heartbeat connected on InferenceWorker_p0-w0 -[2026-06-02 23:16:57,332][544093] Updated weights for policy 0, policy_version 432 (0.0010) -[2026-06-02 23:16:57,357][543134] Fps is (10 sec: 14745.8, 60 sec: 14745.6, 300 sec: 14745.6). Total num frames: 221184. Throughput: 0: 13209.6. Samples: 231936. Policy #0 lag: (min: 13.0, avg: 17.6, max: 77.0) -[2026-06-02 23:16:57,358][543134] Avg episode reward: [(0, '81.400')] -[2026-06-02 23:16:57,495][544021] Saving new best policy, reward=81.400! -[2026-06-02 23:16:59,783][544093] Updated weights for policy 0, policy_version 498 (0.0009) -[2026-06-02 23:17:02,357][543134] Fps is (10 sec: 13107.2, 60 sec: 14336.0, 300 sec: 14336.0). Total num frames: 286720. Throughput: 0: 11955.2. Samples: 272896. Policy #0 lag: (min: 8.0, avg: 12.3, max: 72.0) -[2026-06-02 23:17:02,358][543134] Avg episode reward: [(0, '108.600')] -[2026-06-02 23:17:02,362][544021] Saving new best policy, reward=108.600! -[2026-06-02 23:17:04,510][544093] Updated weights for policy 0, policy_version 592 (0.0011) -[2026-06-02 23:17:07,046][544093] Updated weights for policy 0, policy_version 658 (0.0011) -[2026-06-02 23:17:07,357][543134] Fps is (10 sec: 13107.2, 60 sec: 14090.3, 300 sec: 14090.3). Total num frames: 352256. Throughput: 0: 12779.5. Samples: 353280. Policy #0 lag: (min: 3.0, avg: 6.4, max: 67.0) -[2026-06-02 23:17:07,358][543134] Avg episode reward: [(0, '126.850')] -[2026-06-02 23:17:07,412][544021] Saving new best policy, reward=126.850! -[2026-06-02 23:17:09,781][544093] Updated weights for policy 0, policy_version 754 (0.0012) -[2026-06-02 23:17:12,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13926.4, 300 sec: 13926.4). Total num frames: 417792. Throughput: 0: 13158.4. Samples: 428544. Policy #0 lag: (min: 0.0, avg: 3.4, max: 64.0) -[2026-06-02 23:17:12,358][543134] Avg episode reward: [(0, '154.600')] -[2026-06-02 23:17:12,437][544021] Saving new best policy, reward=154.600! -[2026-06-02 23:17:12,467][544093] Updated weights for policy 0, policy_version 832 (0.0012) -[2026-06-02 23:17:17,271][544093] Updated weights for policy 0, policy_version 914 (0.0011) -[2026-06-02 23:17:17,357][543134] Fps is (10 sec: 12288.0, 60 sec: 13575.3, 300 sec: 13575.3). Total num frames: 475136. Throughput: 0: 12405.0. Samples: 467968. Policy #0 lag: (min: 31.0, avg: 34.3, max: 95.0) -[2026-06-02 23:17:17,358][543134] Avg episode reward: [(0, '148.650')] -[2026-06-02 23:17:19,930][544093] Updated weights for policy 0, policy_version 1010 (0.0011) -[2026-06-02 23:17:22,357][543134] Fps is (10 sec: 11468.8, 60 sec: 13312.0, 300 sec: 13312.0). Total num frames: 532480. Throughput: 0: 12825.6. Samples: 546816. Policy #0 lag: (min: 8.0, avg: 10.9, max: 72.0) -[2026-06-02 23:17:22,358][543134] Avg episode reward: [(0, '153.700')] -[2026-06-02 23:17:22,366][544021] Signal inference workers to stop experience collection... (50 times) -[2026-06-02 23:17:22,394][544093] InferenceWorker_p0-w0: stopping experience collection (50 times) -[2026-06-02 23:17:22,501][544021] Signal inference workers to resume experience collection... (50 times) -[2026-06-02 23:17:22,502][544093] InferenceWorker_p0-w0: resuming experience collection (50 times) -[2026-06-02 23:17:22,569][544093] Updated weights for policy 0, policy_version 1077 (0.0007) -[2026-06-02 23:17:25,172][544093] Updated weights for policy 0, policy_version 1148 (0.0008) -[2026-06-02 23:17:27,357][543134] Fps is (10 sec: 12288.0, 60 sec: 13289.3, 300 sec: 13289.3). Total num frames: 598016. Throughput: 0: 13130.0. Samples: 624640. Policy #0 lag: (min: 47.0, avg: 52.0, max: 111.0) -[2026-06-02 23:17:27,358][543134] Avg episode reward: [(0, '162.850')] -[2026-06-02 23:17:27,556][544021] Saving new best policy, reward=162.850! -[2026-06-02 23:17:27,676][544093] Updated weights for policy 0, policy_version 1208 (0.0007) -[2026-06-02 23:17:30,163][544093] Updated weights for policy 0, policy_version 1278 (0.0006) -[2026-06-02 23:17:32,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13271.0, 300 sec: 13271.0). Total num frames: 663552. Throughput: 0: 13209.6. Samples: 662528. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:17:32,358][543134] Avg episode reward: [(0, '170.700')] -[2026-06-02 23:17:32,506][544021] Saving new best policy, reward=170.700! -[2026-06-02 23:17:32,667][544093] Updated weights for policy 0, policy_version 1340 (0.0007) -[2026-06-02 23:17:35,048][544093] Updated weights for policy 0, policy_version 1407 (0.0007) -[2026-06-02 23:17:37,357][543134] Fps is (10 sec: 14745.5, 60 sec: 13554.0, 300 sec: 13554.0). Total num frames: 745472. Throughput: 0: 13130.0. Samples: 745984. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-02 23:17:37,358][543134] Avg episode reward: [(0, '158.300')] -[2026-06-02 23:17:39,483][544093] Updated weights for policy 0, policy_version 1475 (0.0007) -[2026-06-02 23:17:41,862][544093] Updated weights for policy 0, policy_version 1537 (0.0007) -[2026-06-02 23:17:42,357][543134] Fps is (10 sec: 15564.8, 60 sec: 13653.3, 300 sec: 13653.3). Total num frames: 819200. Throughput: 0: 13152.7. Samples: 823808. Policy #0 lag: (min: 7.0, avg: 12.3, max: 71.0) -[2026-06-02 23:17:42,358][543134] Avg episode reward: [(0, '149.650')] -[2026-06-02 23:17:44,449][544093] Updated weights for policy 0, policy_version 1616 (0.0007) -[2026-06-02 23:17:46,958][544093] Updated weights for policy 0, policy_version 1682 (0.0007) -[2026-06-02 23:17:47,357][543134] Fps is (10 sec: 13926.4, 60 sec: 13516.8, 300 sec: 13611.3). Total num frames: 884736. Throughput: 0: 13141.3. Samples: 864256. Policy #0 lag: (min: 7.0, avg: 11.6, max: 71.0) -[2026-06-02 23:17:47,358][543134] Avg episode reward: [(0, '157.550')] -[2026-06-02 23:17:49,605][544093] Updated weights for policy 0, policy_version 1776 (0.0010) -[2026-06-02 23:17:52,173][544093] Updated weights for policy 0, policy_version 1849 (0.0010) -[2026-06-02 23:17:52,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13243.7, 300 sec: 13575.3). Total num frames: 950272. Throughput: 0: 13175.5. Samples: 946176. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) -[2026-06-02 23:17:52,358][543134] Avg episode reward: [(0, '170.750')] -[2026-06-02 23:17:52,362][544021] Saving new best policy, reward=170.750! -[2026-06-02 23:17:54,820][544093] Updated weights for policy 0, policy_version 1920 (0.0010) -[2026-06-02 23:17:57,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13243.7, 300 sec: 13544.1). Total num frames: 1015808. Throughput: 0: 13164.1. Samples: 1020928. Policy #0 lag: (min: 2.0, avg: 5.3, max: 66.0) -[2026-06-02 23:17:57,358][543134] Avg episode reward: [(0, '189.750')] -[2026-06-02 23:17:57,362][544021] Saving new best policy, reward=189.750! -[2026-06-02 23:17:59,331][544093] Updated weights for policy 0, policy_version 1986 (0.0010) -[2026-06-02 23:18:02,128][544093] Updated weights for policy 0, policy_version 2096 (0.0011) -[2026-06-02 23:18:02,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13243.7, 300 sec: 13516.8). Total num frames: 1081344. Throughput: 0: 13175.5. Samples: 1060864. Policy #0 lag: (min: 0.0, avg: 5.0, max: 64.0) -[2026-06-02 23:18:02,358][543134] Avg episode reward: [(0, '183.850')] -[2026-06-02 23:18:04,485][544021] Signal inference workers to stop experience collection... (100 times) -[2026-06-02 23:18:04,515][544093] InferenceWorker_p0-w0: stopping experience collection (100 times) -[2026-06-02 23:18:04,589][544021] Signal inference workers to resume experience collection... (100 times) -[2026-06-02 23:18:04,590][544093] InferenceWorker_p0-w0: resuming experience collection (100 times) -[2026-06-02 23:18:04,815][544093] Updated weights for policy 0, policy_version 2169 (0.0012) -[2026-06-02 23:18:07,357][543134] Fps is (10 sec: 12288.0, 60 sec: 13107.2, 300 sec: 13396.3). Total num frames: 1138688. Throughput: 0: 13175.5. Samples: 1139712. Policy #0 lag: (min: 12.0, avg: 15.2, max: 76.0) -[2026-06-02 23:18:07,358][543134] Avg episode reward: [(0, '184.050')] -[2026-06-02 23:18:09,506][544093] Updated weights for policy 0, policy_version 2272 (0.0010) -[2026-06-02 23:18:12,209][544093] Updated weights for policy 0, policy_version 2354 (0.0010) -[2026-06-02 23:18:12,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13243.7, 300 sec: 13471.3). Total num frames: 1212416. Throughput: 0: 13152.7. Samples: 1216512. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) -[2026-06-02 23:18:12,358][543134] Avg episode reward: [(0, '200.450')] -[2026-06-02 23:18:12,362][544021] Saving new best policy, reward=200.450! -[2026-06-02 23:18:14,663][544093] Updated weights for policy 0, policy_version 2425 (0.0010) -[2026-06-02 23:18:17,242][544093] Updated weights for policy 0, policy_version 2496 (0.0010) -[2026-06-02 23:18:17,357][543134] Fps is (10 sec: 13926.4, 60 sec: 13380.3, 300 sec: 13452.1). Total num frames: 1277952. Throughput: 0: 13255.1. Samples: 1259008. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-02 23:18:17,358][543134] Avg episode reward: [(0, '193.700')] -[2026-06-02 23:18:21,841][544093] Updated weights for policy 0, policy_version 2592 (0.0010) -[2026-06-02 23:18:22,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13516.8, 300 sec: 13434.9). Total num frames: 1343488. Throughput: 0: 13198.2. Samples: 1339904. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 23:18:22,358][543134] Avg episode reward: [(0, '208.600')] -[2026-06-02 23:18:22,361][544021] Saving new best policy, reward=208.600! -[2026-06-02 23:18:24,492][544093] Updated weights for policy 0, policy_version 2678 (0.0011) -[2026-06-02 23:18:26,958][544093] Updated weights for policy 0, policy_version 2745 (0.0010) -[2026-06-02 23:18:27,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13516.8, 300 sec: 13419.3). Total num frames: 1409024. Throughput: 0: 13221.0. Samples: 1418752. Policy #0 lag: (min: 14.0, avg: 17.0, max: 78.0) -[2026-06-02 23:18:27,358][543134] Avg episode reward: [(0, '199.000')] -[2026-06-02 23:18:29,502][544093] Updated weights for policy 0, policy_version 2816 (0.0010) -[2026-06-02 23:18:32,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13516.8, 300 sec: 13405.1). Total num frames: 1474560. Throughput: 0: 13198.2. Samples: 1458176. Policy #0 lag: (min: 13.0, avg: 17.2, max: 77.0) -[2026-06-02 23:18:32,358][543134] Avg episode reward: [(0, '219.100')] -[2026-06-02 23:18:32,361][544021] Saving new best policy, reward=219.100! -[2026-06-02 23:18:34,064][544093] Updated weights for policy 0, policy_version 2882 (0.0010) -[2026-06-02 23:18:36,683][544093] Updated weights for policy 0, policy_version 2976 (0.0010) -[2026-06-02 23:18:37,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13243.7, 300 sec: 13392.1). Total num frames: 1540096. Throughput: 0: 13164.1. Samples: 1538560. Policy #0 lag: (min: 2.0, avg: 6.4, max: 66.0) -[2026-06-02 23:18:37,358][543134] Avg episode reward: [(0, '195.950')] -[2026-06-02 23:18:39,212][544093] Updated weights for policy 0, policy_version 3040 (0.0010) -[2026-06-02 23:18:41,641][544093] Updated weights for policy 0, policy_version 3106 (0.0009) -[2026-06-02 23:18:42,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13107.2, 300 sec: 13380.3). Total num frames: 1605632. Throughput: 0: 13221.0. Samples: 1615872. Policy #0 lag: (min: 13.0, avg: 18.6, max: 77.0) -[2026-06-02 23:18:42,358][543134] Avg episode reward: [(0, '227.200')] -[2026-06-02 23:18:42,362][544021] Saving new best policy, reward=227.200! -[2026-06-02 23:18:44,184][544093] Updated weights for policy 0, policy_version 3184 (0.0010) -[2026-06-02 23:18:46,264][544021] Signal inference workers to stop experience collection... (150 times) -[2026-06-02 23:18:46,315][544093] InferenceWorker_p0-w0: stopping experience collection (150 times) -[2026-06-02 23:18:46,406][544021] Signal inference workers to resume experience collection... (150 times) -[2026-06-02 23:18:46,407][544093] InferenceWorker_p0-w0: resuming experience collection (150 times) -[2026-06-02 23:18:46,659][544093] Updated weights for policy 0, policy_version 3248 (0.0007) -[2026-06-02 23:18:47,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13107.2, 300 sec: 13369.3). Total num frames: 1671168. Throughput: 0: 13243.7. Samples: 1656832. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-02 23:18:47,358][543134] Avg episode reward: [(0, '223.600')] -[2026-06-02 23:18:49,066][544093] Updated weights for policy 0, policy_version 3321 (0.0007) -[2026-06-02 23:18:51,567][544093] Updated weights for policy 0, policy_version 3383 (0.0009) -[2026-06-02 23:18:52,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13107.2, 300 sec: 13359.3). Total num frames: 1736704. Throughput: 0: 13312.0. Samples: 1738752. Policy #0 lag: (min: 10.0, avg: 14.6, max: 74.0) -[2026-06-02 23:18:52,358][543134] Avg episode reward: [(0, '222.150')] -[2026-06-02 23:18:54,073][544093] Updated weights for policy 0, policy_version 3454 (0.0010) -[2026-06-02 23:18:56,537][544093] Updated weights for policy 0, policy_version 3520 (0.0010) -[2026-06-02 23:18:57,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13107.2, 300 sec: 13349.9). Total num frames: 1802240. Throughput: 0: 13403.0. Samples: 1819648. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 23:18:57,358][543134] Avg episode reward: [(0, '228.300')] -[2026-06-02 23:18:57,362][544021] Saving new best policy, reward=228.300! -[2026-06-02 23:19:00,880][544093] Updated weights for policy 0, policy_version 3600 (0.0011) -[2026-06-02 23:19:02,357][543134] Fps is (10 sec: 13107.0, 60 sec: 13107.2, 300 sec: 13341.2). Total num frames: 1867776. Throughput: 0: 13391.6. Samples: 1861632. Policy #0 lag: (min: 10.0, avg: 15.3, max: 74.0) -[2026-06-02 23:19:02,358][543134] Avg episode reward: [(0, '234.500')] -[2026-06-02 23:19:02,362][544021] Saving new best policy, reward=234.500! -[2026-06-02 23:19:03,358][544093] Updated weights for policy 0, policy_version 3666 (0.0010) -[2026-06-02 23:19:05,979][544093] Updated weights for policy 0, policy_version 3760 (0.0010) -[2026-06-02 23:19:07,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13243.7, 300 sec: 13333.2). Total num frames: 1933312. Throughput: 0: 13334.7. Samples: 1939968. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 23:19:07,358][543134] Avg episode reward: [(0, '224.500')] -[2026-06-02 23:19:10,632][544093] Updated weights for policy 0, policy_version 3856 (0.0010) -[2026-06-02 23:19:12,357][543134] Fps is (10 sec: 13107.4, 60 sec: 13107.2, 300 sec: 13325.7). Total num frames: 1998848. Throughput: 0: 13391.7. Samples: 2021376. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) -[2026-06-02 23:19:12,358][543134] Avg episode reward: [(0, '217.200')] -[2026-06-02 23:19:13,324][544093] Updated weights for policy 0, policy_version 3952 (0.0011) -[2026-06-02 23:19:15,917][544093] Updated weights for policy 0, policy_version 4018 (0.0012) -[2026-06-02 23:19:17,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13107.2, 300 sec: 13318.6). Total num frames: 2064384. Throughput: 0: 13425.8. Samples: 2062336. Policy #0 lag: (min: 1.0, avg: 5.6, max: 65.0) -[2026-06-02 23:19:17,358][543134] Avg episode reward: [(0, '240.050')] -[2026-06-02 23:19:17,361][544021] Saving new best policy, reward=240.050! -[2026-06-02 23:19:18,449][544093] Updated weights for policy 0, policy_version 4087 (0.0010) -[2026-06-02 23:19:22,357][543134] Fps is (10 sec: 13107.1, 60 sec: 13107.2, 300 sec: 13312.0). Total num frames: 2129920. Throughput: 0: 13357.5. Samples: 2139648. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-02 23:19:22,358][543134] Avg episode reward: [(0, '232.100')] -[2026-06-02 23:19:22,986][544093] Updated weights for policy 0, policy_version 4162 (0.0010) -[2026-06-02 23:19:25,357][544093] Updated weights for policy 0, policy_version 4226 (0.0010) -[2026-06-02 23:19:25,558][544021] Signal inference workers to stop experience collection... (200 times) -[2026-06-02 23:19:25,591][544093] InferenceWorker_p0-w0: stopping experience collection (200 times) -[2026-06-02 23:19:25,680][544021] Signal inference workers to resume experience collection... (200 times) -[2026-06-02 23:19:25,681][544093] InferenceWorker_p0-w0: resuming experience collection (200 times) -[2026-06-02 23:19:27,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13107.2, 300 sec: 13305.8). Total num frames: 2195456. Throughput: 0: 13494.0. Samples: 2223104. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 23:19:27,358][543134] Avg episode reward: [(0, '244.300')] -[2026-06-02 23:19:27,362][544021] Saving new best policy, reward=244.300! -[2026-06-02 23:19:27,746][544093] Updated weights for policy 0, policy_version 4290 (0.0012) -[2026-06-02 23:19:30,118][544093] Updated weights for policy 0, policy_version 4354 (0.0010) -[2026-06-02 23:19:32,357][543134] Fps is (10 sec: 13107.1, 60 sec: 13107.2, 300 sec: 13299.9). Total num frames: 2260992. Throughput: 0: 13471.2. Samples: 2263040. Policy #0 lag: (min: 12.0, avg: 17.0, max: 76.0) -[2026-06-02 23:19:32,358][543134] Avg episode reward: [(0, '259.500')] -[2026-06-02 23:19:32,362][544021] Saving new best policy, reward=259.500! -[2026-06-02 23:19:32,618][544093] Updated weights for policy 0, policy_version 4432 (0.0011) -[2026-06-02 23:19:35,140][544093] Updated weights for policy 0, policy_version 4512 (0.0011) -[2026-06-02 23:19:37,357][543134] Fps is (10 sec: 13107.0, 60 sec: 13107.2, 300 sec: 13294.4). Total num frames: 2326528. Throughput: 0: 13459.9. Samples: 2344448. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 23:19:37,358][543134] Avg episode reward: [(0, '284.000')] -[2026-06-02 23:19:37,362][544021] Saving new best policy, reward=284.000! -[2026-06-02 23:19:37,681][544093] Updated weights for policy 0, policy_version 4578 (0.0008) -[2026-06-02 23:19:40,169][544093] Updated weights for policy 0, policy_version 4640 (0.0010) -[2026-06-02 23:19:42,357][543134] Fps is (10 sec: 13107.3, 60 sec: 13107.2, 300 sec: 13289.2). Total num frames: 2392064. Throughput: 0: 13448.5. Samples: 2424832. Policy #0 lag: (min: 14.0, avg: 19.5, max: 78.0) -[2026-06-02 23:19:42,358][543134] Avg episode reward: [(0, '283.750')] -[2026-06-02 23:19:42,834][544093] Updated weights for policy 0, policy_version 4731 (0.0011) -[2026-06-02 23:19:45,418][544093] Updated weights for policy 0, policy_version 4799 (0.0008) -[2026-06-02 23:19:47,357][543134] Fps is (10 sec: 13926.6, 60 sec: 13243.7, 300 sec: 13328.6). Total num frames: 2465792. Throughput: 0: 13334.8. Samples: 2461696. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-02 23:19:47,358][543134] Avg episode reward: [(0, '264.000')] -[2026-06-02 23:19:47,760][544093] Updated weights for policy 0, policy_version 4864 (0.0010) -[2026-06-02 23:19:50,133][544093] Updated weights for policy 0, policy_version 4928 (0.0011) -[2026-06-02 23:19:52,357][543134] Fps is (10 sec: 15564.9, 60 sec: 13516.8, 300 sec: 13409.0). Total num frames: 2547712. Throughput: 0: 13482.7. Samples: 2546688. Policy #0 lag: (min: 63.0, avg: 67.5, max: 127.0) -[2026-06-02 23:19:52,358][543134] Avg episode reward: [(0, '266.250')] -[2026-06-02 23:19:54,688][544093] Updated weights for policy 0, policy_version 5024 (0.0011) -[2026-06-02 23:19:57,153][544093] Updated weights for policy 0, policy_version 5104 (0.0010) -[2026-06-02 23:19:57,357][543134] Fps is (10 sec: 15564.8, 60 sec: 13653.3, 300 sec: 13443.3). Total num frames: 2621440. Throughput: 0: 13448.5. Samples: 2626560. Policy #0 lag: (min: 6.0, avg: 10.2, max: 70.0) -[2026-06-02 23:19:57,358][543134] Avg episode reward: [(0, '291.700')] -[2026-06-02 23:19:57,362][544021] Saving new best policy, reward=291.700! -[2026-06-02 23:19:59,678][544093] Updated weights for policy 0, policy_version 5178 (0.0011) -[2026-06-02 23:20:02,128][544093] Updated weights for policy 0, policy_version 5248 (0.0010) -[2026-06-02 23:20:02,357][543134] Fps is (10 sec: 13926.3, 60 sec: 13653.3, 300 sec: 13434.9). Total num frames: 2686976. Throughput: 0: 13459.9. Samples: 2668032. Policy #0 lag: (min: 49.0, avg: 53.0, max: 113.0) -[2026-06-02 23:20:02,358][543134] Avg episode reward: [(0, '268.800')] -[2026-06-02 23:20:06,453][544021] Signal inference workers to stop experience collection... (250 times) -[2026-06-02 23:20:06,454][544093] Updated weights for policy 0, policy_version 5328 (0.0010) -[2026-06-02 23:20:06,483][544093] InferenceWorker_p0-w0: stopping experience collection (250 times) -[2026-06-02 23:20:06,576][544021] Signal inference workers to resume experience collection... (250 times) -[2026-06-02 23:20:06,576][544093] InferenceWorker_p0-w0: resuming experience collection (250 times) -[2026-06-02 23:20:07,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 13426.9). Total num frames: 2752512. Throughput: 0: 13630.6. Samples: 2753024. Policy #0 lag: (min: 49.0, avg: 53.0, max: 113.0) -[2026-06-02 23:20:07,358][543134] Avg episode reward: [(0, '306.900')] -[2026-06-02 23:20:07,362][544021] Saving new best policy, reward=306.900! -[2026-06-02 23:20:09,017][544093] Updated weights for policy 0, policy_version 5410 (0.0011) -[2026-06-02 23:20:11,407][544093] Updated weights for policy 0, policy_version 5474 (0.0010) -[2026-06-02 23:20:12,357][543134] Fps is (10 sec: 13107.3, 60 sec: 13653.3, 300 sec: 13419.3). Total num frames: 2818048. Throughput: 0: 13562.3. Samples: 2833408. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-02 23:20:12,358][543134] Avg episode reward: [(0, '318.050')] -[2026-06-02 23:20:12,362][544021] Saving new best policy, reward=318.050! -[2026-06-02 23:20:13,927][544093] Updated weights for policy 0, policy_version 5557 (0.0010) -[2026-06-02 23:20:16,285][544093] Updated weights for policy 0, policy_version 5627 (0.0010) -[2026-06-02 23:20:17,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 13412.0). Total num frames: 2883584. Throughput: 0: 13653.4. Samples: 2877440. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-02 23:20:17,358][543134] Avg episode reward: [(0, '345.500')] -[2026-06-02 23:20:17,362][544021] Saving new best policy, reward=345.500! -[2026-06-02 23:20:18,757][544093] Updated weights for policy 0, policy_version 5696 (0.0009) -[2026-06-02 23:20:22,357][543134] Fps is (10 sec: 13107.1, 60 sec: 13653.3, 300 sec: 13405.1). Total num frames: 2949120. Throughput: 0: 13630.6. Samples: 2957824. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-02 23:20:22,358][543134] Avg episode reward: [(0, '301.050')] -[2026-06-02 23:20:23,068][544093] Updated weights for policy 0, policy_version 5776 (0.0010) -[2026-06-02 23:20:25,453][544093] Updated weights for policy 0, policy_version 5842 (0.0009) -[2026-06-02 23:20:27,357][543134] Fps is (10 sec: 13107.3, 60 sec: 13653.3, 300 sec: 13398.5). Total num frames: 3014656. Throughput: 0: 13755.8. Samples: 3043840. Policy #0 lag: (min: 1.0, avg: 4.6, max: 65.0) -[2026-06-02 23:20:27,358][543134] Avg episode reward: [(0, '305.500')] -[2026-06-02 23:20:27,778][544093] Updated weights for policy 0, policy_version 5906 (0.0006) -[2026-06-02 23:20:30,147][544093] Updated weights for policy 0, policy_version 5984 (0.0010) -[2026-06-02 23:20:32,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13653.4, 300 sec: 13392.1). Total num frames: 3080192. Throughput: 0: 13824.0. Samples: 3083776. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-02 23:20:32,358][543134] Avg episode reward: [(0, '332.850')] -[2026-06-02 23:20:32,787][544093] Updated weights for policy 0, policy_version 6073 (0.0010) -[2026-06-02 23:20:35,221][544093] Updated weights for policy 0, policy_version 6137 (0.0010) -[2026-06-02 23:20:37,357][543134] Fps is (10 sec: 13926.3, 60 sec: 13789.9, 300 sec: 13420.9). Total num frames: 3153920. Throughput: 0: 13789.9. Samples: 3167232. Policy #0 lag: (min: 2.0, avg: 7.4, max: 66.0) -[2026-06-02 23:20:37,358][543134] Avg episode reward: [(0, '396.900')] -[2026-06-02 23:20:37,523][544021] Saving new best policy, reward=396.900! -[2026-06-02 23:20:37,709][544093] Updated weights for policy 0, policy_version 6207 (0.0010) -[2026-06-02 23:20:41,867][544093] Updated weights for policy 0, policy_version 6274 (0.0009) -[2026-06-02 23:20:42,357][543134] Fps is (10 sec: 16384.1, 60 sec: 14199.5, 300 sec: 13516.8). Total num frames: 3244032. Throughput: 0: 13824.0. Samples: 3248640. Policy #0 lag: (min: 2.0, avg: 7.4, max: 66.0) -[2026-06-02 23:20:42,358][543134] Avg episode reward: [(0, '354.900')] -[2026-06-02 23:20:44,401][544093] Updated weights for policy 0, policy_version 6354 (0.0011) -[2026-06-02 23:20:46,507][544021] Signal inference workers to stop experience collection... (300 times) -[2026-06-02 23:20:46,534][544093] InferenceWorker_p0-w0: stopping experience collection (300 times) -[2026-06-02 23:20:46,632][544021] Signal inference workers to resume experience collection... (300 times) -[2026-06-02 23:20:46,633][544093] InferenceWorker_p0-w0: resuming experience collection (300 times) -[2026-06-02 23:20:46,829][544093] Updated weights for policy 0, policy_version 6448 (0.0009) -[2026-06-02 23:20:47,357][543134] Fps is (10 sec: 15564.8, 60 sec: 14062.9, 300 sec: 13508.4). Total num frames: 3309568. Throughput: 0: 13858.1. Samples: 3291648. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) -[2026-06-02 23:20:47,358][543134] Avg episode reward: [(0, '366.650')] -[2026-06-02 23:20:49,233][544093] Updated weights for policy 0, policy_version 6515 (0.0009) -[2026-06-02 23:20:51,527][544093] Updated weights for policy 0, policy_version 6587 (0.0010) -[2026-06-02 23:20:52,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13789.9, 300 sec: 13500.4). Total num frames: 3375104. Throughput: 0: 13880.9. Samples: 3377664. Policy #0 lag: (min: 3.0, avg: 8.1, max: 67.0) -[2026-06-02 23:20:52,358][543134] Avg episode reward: [(0, '411.950')] -[2026-06-02 23:20:52,362][544021] Saving new best policy, reward=411.950! -[2026-06-02 23:20:53,974][544093] Updated weights for policy 0, policy_version 6656 (0.0006) -[2026-06-02 23:20:57,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 13492.7). Total num frames: 3440640. Throughput: 0: 13960.5. Samples: 3461632. Policy #0 lag: (min: 3.0, avg: 8.1, max: 67.0) -[2026-06-02 23:20:57,358][543134] Avg episode reward: [(0, '434.100')] -[2026-06-02 23:20:57,362][544021] Saving new best policy, reward=434.100! -[2026-06-02 23:20:58,251][544093] Updated weights for policy 0, policy_version 6736 (0.0010) -[2026-06-02 23:21:00,685][544093] Updated weights for policy 0, policy_version 6816 (0.0010) -[2026-06-02 23:21:02,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 13485.3). Total num frames: 3506176. Throughput: 0: 13949.2. Samples: 3505152. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-02 23:21:02,358][543134] Avg episode reward: [(0, '465.100')] -[2026-06-02 23:21:02,362][544021] Saving new best policy, reward=465.100! -[2026-06-02 23:21:03,139][544093] Updated weights for policy 0, policy_version 6896 (0.0009) -[2026-06-02 23:21:05,346][544093] Updated weights for policy 0, policy_version 6960 (0.0010) -[2026-06-02 23:21:07,357][543134] Fps is (10 sec: 13107.2, 60 sec: 13653.3, 300 sec: 13478.2). Total num frames: 3571712. Throughput: 0: 14051.6. Samples: 3590144. Policy #0 lag: (min: 15.0, avg: 19.7, max: 79.0) -[2026-06-02 23:21:07,358][543134] Avg episode reward: [(0, '452.850')] -[2026-06-02 23:21:07,651][544093] Updated weights for policy 0, policy_version 7010 (0.0010) -[2026-06-02 23:21:10,088][544093] Updated weights for policy 0, policy_version 7097 (0.0010) -[2026-06-02 23:21:12,357][543134] Fps is (10 sec: 15565.0, 60 sec: 14063.0, 300 sec: 13562.3). Total num frames: 3661824. Throughput: 0: 14006.1. Samples: 3674112. Policy #0 lag: (min: 4.0, avg: 6.8, max: 68.0) -[2026-06-02 23:21:12,358][543134] Avg episode reward: [(0, '472.600')] -[2026-06-02 23:21:12,446][544093] Updated weights for policy 0, policy_version 7166 (0.0010) -[2026-06-02 23:21:12,452][544021] Saving new best policy, reward=472.600! -[2026-06-02 23:21:16,770][544093] Updated weights for policy 0, policy_version 7248 (0.0010) -[2026-06-02 23:21:17,357][543134] Fps is (10 sec: 16383.9, 60 sec: 14199.4, 300 sec: 13583.8). Total num frames: 3735552. Throughput: 0: 14051.5. Samples: 3716096. Policy #0 lag: (min: 4.0, avg: 6.8, max: 68.0) -[2026-06-02 23:21:17,358][543134] Avg episode reward: [(0, '453.850')] -[2026-06-02 23:21:19,296][544093] Updated weights for policy 0, policy_version 7328 (0.0010) -[2026-06-02 23:21:21,564][544093] Updated weights for policy 0, policy_version 7392 (0.0008) -[2026-06-02 23:21:22,357][543134] Fps is (10 sec: 13926.3, 60 sec: 14199.5, 300 sec: 13575.3). Total num frames: 3801088. Throughput: 0: 14108.4. Samples: 3802112. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) -[2026-06-02 23:21:22,358][543134] Avg episode reward: [(0, '501.200')] -[2026-06-02 23:21:22,361][544021] Saving new best policy, reward=501.200! -[2026-06-02 23:21:23,807][544021] Signal inference workers to stop experience collection... (350 times) -[2026-06-02 23:21:23,836][544093] InferenceWorker_p0-w0: stopping experience collection (350 times) -[2026-06-02 23:21:23,915][544021] Signal inference workers to resume experience collection... (350 times) -[2026-06-02 23:21:23,916][544093] InferenceWorker_p0-w0: resuming experience collection (350 times) -[2026-06-02 23:21:23,917][544093] Updated weights for policy 0, policy_version 7472 (0.0005) -[2026-06-02 23:21:26,252][544093] Updated weights for policy 0, policy_version 7536 (0.0005) -[2026-06-02 23:21:27,357][543134] Fps is (10 sec: 13107.2, 60 sec: 14199.4, 300 sec: 13567.1). Total num frames: 3866624. Throughput: 0: 14176.7. Samples: 3886592. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) -[2026-06-02 23:21:27,358][543134] Avg episode reward: [(0, '550.100')] -[2026-06-02 23:21:27,361][544021] Saving new best policy, reward=550.100! -[2026-06-02 23:21:28,639][544093] Updated weights for policy 0, policy_version 7604 (0.0008) -[2026-06-02 23:21:30,938][544093] Updated weights for policy 0, policy_version 7673 (0.0010) -[2026-06-02 23:21:32,357][543134] Fps is (10 sec: 13107.1, 60 sec: 14199.5, 300 sec: 13559.2). Total num frames: 3932160. Throughput: 0: 14199.4. Samples: 3930624. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) -[2026-06-02 23:21:32,358][543134] Avg episode reward: [(0, '522.400')] -[2026-06-02 23:21:33,203][544093] Updated weights for policy 0, policy_version 7743 (0.0010) -[2026-06-02 23:21:35,510][544093] Updated weights for policy 0, policy_version 7808 (0.0007) -[2026-06-02 23:21:37,357][543134] Fps is (10 sec: 13107.2, 60 sec: 14062.9, 300 sec: 13551.5). Total num frames: 3997696. Throughput: 0: 14199.5. Samples: 4016640. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:21:37,358][543134] Avg episode reward: [(0, '561.600')] -[2026-06-02 23:21:37,483][544021] Saving new best policy, reward=561.600! -[2026-06-02 23:21:39,698][544093] Updated weights for policy 0, policy_version 7904 (0.0010) -[2026-06-02 23:21:42,142][544093] Updated weights for policy 0, policy_version 7984 (0.0011) -[2026-06-02 23:21:42,357][543134] Fps is (10 sec: 16384.1, 60 sec: 14199.5, 300 sec: 13634.8). Total num frames: 4096000. Throughput: 0: 14233.6. Samples: 4102144. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 23:21:42,358][543134] Avg episode reward: [(0, '581.500')] -[2026-06-02 23:21:42,362][544021] Saving new best policy, reward=581.500! -[2026-06-02 23:21:44,366][544093] Updated weights for policy 0, policy_version 8034 (0.0010) -[2026-06-02 23:21:46,585][544093] Updated weights for policy 0, policy_version 8096 (0.0010) -[2026-06-02 23:21:47,357][543134] Fps is (10 sec: 16384.0, 60 sec: 14199.5, 300 sec: 13579.3). Total num frames: 4161536. Throughput: 0: 14245.0. Samples: 4146176. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:21:47,358][543134] Avg episode reward: [(0, '572.650')] -[2026-06-02 23:21:48,718][544093] Updated weights for policy 0, policy_version 8160 (0.0010) -[2026-06-02 23:21:51,047][544093] Updated weights for policy 0, policy_version 8240 (0.0010) -[2026-06-02 23:21:52,357][543134] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 13579.3). Total num frames: 4227072. Throughput: 0: 14313.2. Samples: 4234240. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:21:52,358][543134] Avg episode reward: [(0, '577.300')] -[2026-06-02 23:21:53,155][544093] Updated weights for policy 0, policy_version 8290 (0.0010) -[2026-06-02 23:21:55,355][544093] Updated weights for policy 0, policy_version 8372 (0.0010) -[2026-06-02 23:21:57,357][543134] Fps is (10 sec: 13926.4, 60 sec: 14336.0, 300 sec: 13607.0). Total num frames: 4300800. Throughput: 0: 14518.0. Samples: 4327424. Policy #0 lag: (min: 6.0, avg: 11.0, max: 70.0) -[2026-06-02 23:21:57,359][543134] Avg episode reward: [(0, '677.550')] -[2026-06-02 23:21:57,500][544021] Saving new best policy, reward=677.550! -[2026-06-02 23:21:57,608][544093] Updated weights for policy 0, policy_version 8440 (0.0009) -[2026-06-02 23:21:59,778][544093] Updated weights for policy 0, policy_version 8509 (0.0010) -[2026-06-02 23:22:01,527][544021] Signal inference workers to stop experience collection... (400 times) -[2026-06-02 23:22:01,557][544093] InferenceWorker_p0-w0: stopping experience collection (400 times) -[2026-06-02 23:22:01,639][544021] Signal inference workers to resume experience collection... (400 times) -[2026-06-02 23:22:01,639][544093] InferenceWorker_p0-w0: resuming experience collection (400 times) -[2026-06-02 23:22:01,860][544093] Updated weights for policy 0, policy_version 8570 (0.0010) -[2026-06-02 23:22:02,357][543134] Fps is (10 sec: 16384.1, 60 sec: 14745.6, 300 sec: 13690.4). Total num frames: 4390912. Throughput: 0: 14563.6. Samples: 4371456. Policy #0 lag: (min: 6.0, avg: 11.0, max: 70.0) -[2026-06-02 23:22:02,358][543134] Avg episode reward: [(0, '762.800')] -[2026-06-02 23:22:02,361][544021] Saving new best policy, reward=762.800! -[2026-06-02 23:22:04,009][544093] Updated weights for policy 0, policy_version 8634 (0.0010) -[2026-06-02 23:22:06,292][544093] Updated weights for policy 0, policy_version 8698 (0.0010) -[2026-06-02 23:22:07,357][543134] Fps is (10 sec: 15565.0, 60 sec: 14745.6, 300 sec: 13690.4). Total num frames: 4456448. Throughput: 0: 14654.6. Samples: 4461568. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 23:22:07,358][543134] Avg episode reward: [(0, '750.900')] -[2026-06-02 23:22:08,499][544093] Updated weights for policy 0, policy_version 8758 (0.0010) -[2026-06-02 23:22:10,626][544093] Updated weights for policy 0, policy_version 8828 (0.0010) -[2026-06-02 23:22:12,357][543134] Fps is (10 sec: 13107.3, 60 sec: 14336.0, 300 sec: 13718.1). Total num frames: 4521984. Throughput: 0: 14825.3. Samples: 4553728. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 23:22:12,358][543134] Avg episode reward: [(0, '777.950')] -[2026-06-02 23:22:12,362][544021] Saving new best policy, reward=777.950! -[2026-06-02 23:22:12,956][544093] Updated weights for policy 0, policy_version 8892 (0.0010) -[2026-06-02 23:22:15,177][544093] Updated weights for policy 0, policy_version 8960 (0.0010) -[2026-06-02 23:22:17,357][543134] Fps is (10 sec: 15564.8, 60 sec: 14609.1, 300 sec: 13829.2). Total num frames: 4612096. Throughput: 0: 14757.0. Samples: 4594688. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) -[2026-06-02 23:22:17,358][543134] Avg episode reward: [(0, '762.150')] -[2026-06-02 23:22:19,182][544093] Updated weights for policy 0, policy_version 9026 (0.0010) -[2026-06-02 23:22:19,710][544093] Updated weights for policy 0, policy_version 9088 (0.0009) -[2026-06-02 23:22:21,945][544093] Updated weights for policy 0, policy_version 9152 (0.0009) -[2026-06-02 23:22:22,357][543134] Fps is (10 sec: 16383.8, 60 sec: 14745.6, 300 sec: 13857.0). Total num frames: 4685824. Throughput: 0: 14870.8. Samples: 4685824. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 23:22:22,358][543134] Avg episode reward: [(0, '808.850')] -[2026-06-02 23:22:22,362][544021] Saving new best policy, reward=808.850! -[2026-06-02 23:22:24,234][544093] Updated weights for policy 0, policy_version 9216 (0.0010) -[2026-06-02 23:22:27,357][543134] Fps is (10 sec: 13926.4, 60 sec: 14745.6, 300 sec: 13857.0). Total num frames: 4751360. Throughput: 0: 14848.0. Samples: 4770304. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 23:22:27,358][543134] Avg episode reward: [(0, '834.000')] -[2026-06-02 23:22:27,361][544021] Saving new best policy, reward=834.000! -[2026-06-02 23:22:28,332][544093] Updated weights for policy 0, policy_version 9298 (0.0010) -[2026-06-02 23:22:30,453][544093] Updated weights for policy 0, policy_version 9360 (0.0009) -[2026-06-02 23:22:32,357][543134] Fps is (10 sec: 13107.3, 60 sec: 14745.6, 300 sec: 13801.4). Total num frames: 4816896. Throughput: 0: 14916.3. Samples: 4817408. Policy #0 lag: (min: 13.0, avg: 18.2, max: 77.0) -[2026-06-02 23:22:32,358][543134] Avg episode reward: [(0, '925.100')] -[2026-06-02 23:22:32,399][544021] Saving new best policy, reward=925.100! -[2026-06-02 23:22:32,884][544093] Updated weights for policy 0, policy_version 9440 (0.0010) -[2026-06-02 23:22:35,220][544093] Updated weights for policy 0, policy_version 9522 (0.0010) -[2026-06-02 23:22:37,357][543134] Fps is (10 sec: 14745.6, 60 sec: 15018.7, 300 sec: 13829.2). Total num frames: 4898816. Throughput: 0: 14848.0. Samples: 4902400. Policy #0 lag: (min: 13.0, avg: 18.2, max: 77.0) -[2026-06-02 23:22:37,358][543134] Avg episode reward: [(0, '961.500')] -[2026-06-02 23:22:37,491][544093] Updated weights for policy 0, policy_version 9593 (0.0011) -[2026-06-02 23:22:37,545][544021] Saving new best policy, reward=961.500! -[2026-06-02 23:22:39,254][544021] Signal inference workers to stop experience collection... (450 times) -[2026-06-02 23:22:39,306][544093] InferenceWorker_p0-w0: stopping experience collection (450 times) -[2026-06-02 23:22:39,389][544021] Signal inference workers to resume experience collection... (450 times) -[2026-06-02 23:22:39,390][544093] InferenceWorker_p0-w0: resuming experience collection (450 times) -[2026-06-02 23:22:39,677][544093] Updated weights for policy 0, policy_version 9650 (0.0010) -[2026-06-02 23:22:41,624][544093] Updated weights for policy 0, policy_version 9712 (0.0009) -[2026-06-02 23:22:42,357][543134] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 13884.7). Total num frames: 4980736. Throughput: 0: 14825.3. Samples: 4994560. Policy #0 lag: (min: 12.0, avg: 16.5, max: 76.0) -[2026-06-02 23:22:42,358][543134] Avg episode reward: [(0, '959.750')] -[2026-06-02 23:22:43,886][544093] Updated weights for policy 0, policy_version 9781 (0.0005) -[2026-06-02 23:22:46,018][544093] Updated weights for policy 0, policy_version 9846 (0.0006) -[2026-06-02 23:22:47,357][543134] Fps is (10 sec: 14745.6, 60 sec: 14745.6, 300 sec: 13884.7). Total num frames: 5046272. Throughput: 0: 14916.3. Samples: 5042688. Policy #0 lag: (min: 12.0, avg: 16.5, max: 76.0) -[2026-06-02 23:22:47,358][543134] Avg episode reward: [(0, '1012.450')] -[2026-06-02 23:22:47,362][544021] Saving new best policy, reward=1012.450! -[2026-06-02 23:22:48,228][544093] Updated weights for policy 0, policy_version 9909 (0.0010) -[2026-06-02 23:22:50,463][544093] Updated weights for policy 0, policy_version 9974 (0.0009) -[2026-06-02 23:22:52,357][543134] Fps is (10 sec: 13926.2, 60 sec: 14882.1, 300 sec: 13912.5). Total num frames: 5120000. Throughput: 0: 14882.1. Samples: 5131264. Policy #0 lag: (min: 15.0, avg: 21.1, max: 79.0) -[2026-06-02 23:22:52,358][543134] Avg episode reward: [(0, '1073.200')] -[2026-06-02 23:22:52,510][544021] Saving new best policy, reward=1073.200! -[2026-06-02 23:22:52,677][544093] Updated weights for policy 0, policy_version 10044 (0.0009) -[2026-06-02 23:22:54,901][544093] Updated weights for policy 0, policy_version 10110 (0.0010) -[2026-06-02 23:22:57,081][544093] Updated weights for policy 0, policy_version 10174 (0.0010) -[2026-06-02 23:22:57,357][543134] Fps is (10 sec: 16384.0, 60 sec: 15155.2, 300 sec: 13995.8). Total num frames: 5210112. Throughput: 0: 14791.1. Samples: 5219328. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) -[2026-06-02 23:22:57,358][543134] Avg episode reward: [(0, '1128.100')] -[2026-06-02 23:22:57,363][544021] Saving new best policy, reward=1128.100! -[2026-06-02 23:22:59,198][544093] Updated weights for policy 0, policy_version 10239 (0.0010) -[2026-06-02 23:23:02,357][543134] Fps is (10 sec: 15564.9, 60 sec: 14745.6, 300 sec: 14023.6). Total num frames: 5275648. Throughput: 0: 14950.4. Samples: 5267456. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) -[2026-06-02 23:23:02,358][543134] Avg episode reward: [(0, '1065.750')] -[2026-06-02 23:23:03,068][544093] Updated weights for policy 0, policy_version 10306 (0.0009) -[2026-06-02 23:23:05,404][544093] Updated weights for policy 0, policy_version 10386 (0.0009) -[2026-06-02 23:23:07,357][543134] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 13995.8). Total num frames: 5341184. Throughput: 0: 14882.2. Samples: 5355520. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:23:07,358][543134] Avg episode reward: [(0, '969.550')] -[2026-06-02 23:23:07,742][544093] Updated weights for policy 0, policy_version 10464 (0.0007) -[2026-06-02 23:23:10,165][544093] Updated weights for policy 0, policy_version 10531 (0.0011) -[2026-06-02 23:23:12,357][543134] Fps is (10 sec: 14745.6, 60 sec: 15018.7, 300 sec: 14051.4). Total num frames: 5423104. Throughput: 0: 14904.9. Samples: 5441024. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:23:12,358][543134] Avg episode reward: [(0, '1026.150')] -[2026-06-02 23:23:12,362][544093] Updated weights for policy 0, policy_version 10594 (0.0009) -[2026-06-02 23:23:14,582][544021] Signal inference workers to stop experience collection... (500 times) -[2026-06-02 23:23:14,583][544093] Updated weights for policy 0, policy_version 10656 (0.0010) -[2026-06-02 23:23:14,611][544093] InferenceWorker_p0-w0: stopping experience collection (500 times) -[2026-06-02 23:23:14,700][544021] Signal inference workers to resume experience collection... (500 times) -[2026-06-02 23:23:14,701][544093] InferenceWorker_p0-w0: resuming experience collection (500 times) -[2026-06-02 23:23:16,952][544093] Updated weights for policy 0, policy_version 10736 (0.0011) -[2026-06-02 23:23:17,357][543134] Fps is (10 sec: 16384.0, 60 sec: 14882.1, 300 sec: 14106.9). Total num frames: 5505024. Throughput: 0: 14836.6. Samples: 5485056. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) -[2026-06-02 23:23:17,358][543134] Avg episode reward: [(0, '1027.150')] -[2026-06-02 23:23:19,334][544093] Updated weights for policy 0, policy_version 10802 (0.0011) -[2026-06-02 23:23:21,234][544093] Updated weights for policy 0, policy_version 10848 (0.0006) -[2026-06-02 23:23:22,357][543134] Fps is (10 sec: 14745.6, 60 sec: 14745.6, 300 sec: 14106.9). Total num frames: 5570560. Throughput: 0: 14916.3. Samples: 5573632. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) -[2026-06-02 23:23:22,358][543134] Avg episode reward: [(0, '1127.550')] -[2026-06-02 23:23:23,448][544093] Updated weights for policy 0, policy_version 10932 (0.0007) -[2026-06-02 23:23:25,691][544093] Updated weights for policy 0, policy_version 11003 (0.0008) -[2026-06-02 23:23:27,357][543134] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 14106.9). Total num frames: 5636096. Throughput: 0: 14984.5. Samples: 5668864. Policy #0 lag: (min: 3.0, avg: 8.0, max: 67.0) -[2026-06-02 23:23:27,358][543134] Avg episode reward: [(0, '1156.900')] -[2026-06-02 23:23:27,605][544021] Saving new best policy, reward=1156.900! -[2026-06-02 23:23:27,829][544093] Updated weights for policy 0, policy_version 11063 (0.0006) -[2026-06-02 23:23:29,985][544093] Updated weights for policy 0, policy_version 11130 (0.0010) -[2026-06-02 23:23:32,142][544093] Updated weights for policy 0, policy_version 11194 (0.0009) -[2026-06-02 23:23:32,357][543134] Fps is (10 sec: 16384.0, 60 sec: 15291.7, 300 sec: 14218.0). Total num frames: 5734400. Throughput: 0: 14882.1. Samples: 5712384. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 23:23:32,358][543134] Avg episode reward: [(0, '1303.050')] -[2026-06-02 23:23:32,361][544021] Saving new best policy, reward=1303.050! -[2026-06-02 23:23:34,219][544093] Updated weights for policy 0, policy_version 11257 (0.0010) -[2026-06-02 23:23:36,422][544093] Updated weights for policy 0, policy_version 11319 (0.0010) -[2026-06-02 23:23:37,357][543134] Fps is (10 sec: 16384.0, 60 sec: 15018.7, 300 sec: 14218.0). Total num frames: 5799936. Throughput: 0: 14927.7. Samples: 5803008. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 23:23:37,358][543134] Avg episode reward: [(0, '1411.000')] -[2026-06-02 23:23:37,361][544021] Saving new best policy, reward=1411.000! -[2026-06-02 23:23:38,467][544093] Updated weights for policy 0, policy_version 11380 (0.0009) -[2026-06-02 23:23:40,541][544093] Updated weights for policy 0, policy_version 11454 (0.0010) -[2026-06-02 23:23:42,357][543134] Fps is (10 sec: 13926.4, 60 sec: 14882.1, 300 sec: 14245.7). Total num frames: 5873664. Throughput: 0: 15132.4. Samples: 5900288. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) -[2026-06-02 23:23:42,358][543134] Avg episode reward: [(0, '1570.600')] -[2026-06-02 23:23:42,487][544021] Saving new best policy, reward=1570.600! -[2026-06-02 23:23:42,652][544093] Updated weights for policy 0, policy_version 11516 (0.0009) -[2026-06-02 23:23:44,830][544093] Updated weights for policy 0, policy_version 11584 (0.0009) -[2026-06-02 23:23:46,930][544093] Updated weights for policy 0, policy_version 11648 (0.0009) -[2026-06-02 23:23:47,357][543134] Fps is (10 sec: 16384.0, 60 sec: 15291.7, 300 sec: 14329.1). Total num frames: 5963776. Throughput: 0: 15075.6. Samples: 5945856. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) -[2026-06-02 23:23:47,358][543134] Avg episode reward: [(0, '1622.500')] -[2026-06-02 23:23:47,361][544021] Saving new best policy, reward=1622.500! -[2026-06-02 23:23:50,870][544021] Signal inference workers to stop experience collection... (550 times) -[2026-06-02 23:23:50,899][544093] InferenceWorker_p0-w0: stopping experience collection (550 times) -[2026-06-02 23:23:50,966][544021] Signal inference workers to resume experience collection... (550 times) -[2026-06-02 23:23:50,967][544093] InferenceWorker_p0-w0: resuming experience collection (550 times) -[2026-06-02 23:23:50,969][544093] Updated weights for policy 0, policy_version 11744 (0.0010) -[2026-06-02 23:23:52,357][543134] Fps is (10 sec: 15564.6, 60 sec: 15155.2, 300 sec: 14329.1). Total num frames: 6029312. Throughput: 0: 15132.4. Samples: 6036480. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) -[2026-06-02 23:23:52,358][543134] Avg episode reward: [(0, '1613.350')] -[2026-06-02 23:23:53,245][544093] Updated weights for policy 0, policy_version 11824 (0.0010) -[2026-06-02 23:23:55,602][544093] Updated weights for policy 0, policy_version 11904 (0.0010) -[2026-06-02 23:23:57,357][543134] Fps is (10 sec: 13926.4, 60 sec: 14882.1, 300 sec: 14356.8). Total num frames: 6103040. Throughput: 0: 15280.4. Samples: 6128640. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 23:23:57,358][543134] Avg episode reward: [(0, '1566.050')] -[2026-06-02 23:23:59,498][544093] Updated weights for policy 0, policy_version 11987 (0.0010) -[2026-06-02 23:24:01,770][544093] Updated weights for policy 0, policy_version 12066 (0.0010) -[2026-06-02 23:24:02,357][543134] Fps is (10 sec: 16384.0, 60 sec: 15291.7, 300 sec: 14440.1). Total num frames: 6193152. Throughput: 0: 15325.8. Samples: 6174720. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 23:24:02,358][543134] Avg episode reward: [(0, '1607.450')] -[2026-06-02 23:24:03,955][544093] Updated weights for policy 0, policy_version 12144 (0.0011) -[2026-06-02 23:24:05,899][544093] Updated weights for policy 0, policy_version 12192 (0.0009) -[2026-06-02 23:24:07,357][543134] Fps is (10 sec: 15564.7, 60 sec: 15291.7, 300 sec: 14440.1). Total num frames: 6258688. Throughput: 0: 15405.5. Samples: 6266880. Policy #0 lag: (min: 0.0, avg: 3.4, max: 64.0) -[2026-06-02 23:24:07,358][543134] Avg episode reward: [(0, '1706.650')] -[2026-06-02 23:24:07,363][544021] Saving new best policy, reward=1706.650! -[2026-06-02 23:24:07,890][544093] Updated weights for policy 0, policy_version 12240 (0.0009) -[2026-06-02 23:24:10,195][544093] Updated weights for policy 0, policy_version 12306 (0.0009) -[2026-06-02 23:24:12,357][543134] Fps is (10 sec: 14745.7, 60 sec: 15291.7, 300 sec: 14495.7). Total num frames: 6340608. Throughput: 0: 15314.5. Samples: 6358016. Policy #0 lag: (min: 0.0, avg: 3.4, max: 64.0) -[2026-06-02 23:24:12,358][543134] Avg episode reward: [(0, '1787.700')] -[2026-06-02 23:24:12,456][544093] Updated weights for policy 0, policy_version 12400 (0.0010) -[2026-06-02 23:24:12,616][544021] Saving new best policy, reward=1787.700! -[2026-06-02 23:24:14,762][544093] Updated weights for policy 0, policy_version 12464 (0.0010) -[2026-06-02 23:24:16,823][544093] Updated weights for policy 0, policy_version 12536 (0.0009) -[2026-06-02 23:24:17,357][543134] Fps is (10 sec: 16384.1, 60 sec: 15291.7, 300 sec: 14551.2). Total num frames: 6422528. Throughput: 0: 15360.0. Samples: 6403584. Policy #0 lag: (min: 9.0, avg: 11.8, max: 73.0) -[2026-06-02 23:24:17,358][543134] Avg episode reward: [(0, '1784.400')] -[2026-06-02 23:24:19,040][544093] Updated weights for policy 0, policy_version 12603 (0.0009) -[2026-06-02 23:24:21,214][544093] Updated weights for policy 0, policy_version 12672 (0.0009) -[2026-06-02 23:24:22,357][543134] Fps is (10 sec: 14745.6, 60 sec: 15291.7, 300 sec: 14551.2). Total num frames: 6488064. Throughput: 0: 15394.1. Samples: 6495744. Policy #0 lag: (min: 9.0, avg: 11.8, max: 73.0) -[2026-06-02 23:24:22,358][543134] Avg episode reward: [(0, '1829.400')] -[2026-06-02 23:24:22,362][544021] Saving new best policy, reward=1829.400! -[2026-06-02 23:24:23,185][544093] Updated weights for policy 0, policy_version 12736 (0.0009) -[2026-06-02 23:24:25,255][544093] Updated weights for policy 0, policy_version 12800 (0.0009) -[2026-06-02 23:24:26,844][544021] Signal inference workers to stop experience collection... (600 times) -[2026-06-02 23:24:26,871][544093] InferenceWorker_p0-w0: stopping experience collection (600 times) -[2026-06-02 23:24:26,969][544021] Signal inference workers to resume experience collection... (600 times) -[2026-06-02 23:24:26,970][544093] InferenceWorker_p0-w0: resuming experience collection (600 times) -[2026-06-02 23:24:27,357][543134] Fps is (10 sec: 15564.8, 60 sec: 15701.3, 300 sec: 14634.5). Total num frames: 6578176. Throughput: 0: 15348.6. Samples: 6590976. Policy #0 lag: (min: 7.0, avg: 11.1, max: 71.0) -[2026-06-02 23:24:27,358][543134] Avg episode reward: [(0, '1998.400')] -[2026-06-02 23:24:27,399][544021] Saving new best policy, reward=1998.400! -[2026-06-02 23:24:28,929][544093] Updated weights for policy 0, policy_version 12866 (0.0010) -[2026-06-02 23:24:31,094][544093] Updated weights for policy 0, policy_version 12944 (0.0009) -[2026-06-02 23:24:32,357][543134] Fps is (10 sec: 16384.0, 60 sec: 15291.7, 300 sec: 14662.3). Total num frames: 6651904. Throughput: 0: 15473.8. Samples: 6642176. Policy #0 lag: (min: 7.0, avg: 11.1, max: 71.0) -[2026-06-02 23:24:32,358][543134] Avg episode reward: [(0, '2058.000')] -[2026-06-02 23:24:32,362][544021] Saving new best policy, reward=2058.000! -[2026-06-02 23:24:33,286][544093] Updated weights for policy 0, policy_version 13010 (0.0010) -[2026-06-02 23:24:35,205][544093] Updated weights for policy 0, policy_version 13058 (0.0010) -[2026-06-02 23:24:37,357][543134] Fps is (10 sec: 13926.3, 60 sec: 15291.7, 300 sec: 14662.3). Total num frames: 6717440. Throughput: 0: 15473.8. Samples: 6732800. Policy #0 lag: (min: 14.0, avg: 19.2, max: 78.0) -[2026-06-02 23:24:37,358][543134] Avg episode reward: [(0, '2030.600')] -[2026-06-02 23:24:37,483][544093] Updated weights for policy 0, policy_version 13136 (0.0010) -[2026-06-02 23:24:39,555][544093] Updated weights for policy 0, policy_version 13202 (0.0010) -[2026-06-02 23:24:41,579][544093] Updated weights for policy 0, policy_version 13266 (0.0010) -[2026-06-02 23:24:42,357][543134] Fps is (10 sec: 16384.1, 60 sec: 15701.3, 300 sec: 14745.6). Total num frames: 6815744. Throughput: 0: 15553.4. Samples: 6828544. Policy #0 lag: (min: 14.0, avg: 19.2, max: 78.0) -[2026-06-02 23:24:42,358][543134] Avg episode reward: [(0, '2192.600')] -[2026-06-02 23:24:42,361][544021] Saving new best policy, reward=2192.600! -[2026-06-02 23:24:43,742][544093] Updated weights for policy 0, policy_version 13346 (0.0010) -[2026-06-02 23:24:45,707][544093] Updated weights for policy 0, policy_version 13410 (0.0011) -[2026-06-02 23:24:47,357][543134] Fps is (10 sec: 16384.1, 60 sec: 15291.7, 300 sec: 14690.1). Total num frames: 6881280. Throughput: 0: 15678.6. Samples: 6880256. Policy #0 lag: (min: 15.0, avg: 20.7, max: 79.0) -[2026-06-02 23:24:47,358][543134] Avg episode reward: [(0, '2260.900')] -[2026-06-02 23:24:47,361][544021] Saving new best policy, reward=2260.900! -[2026-06-02 23:24:47,973][544093] Updated weights for policy 0, policy_version 13488 (0.0010) -[2026-06-02 23:24:50,068][544093] Updated weights for policy 0, policy_version 13552 (0.0010) -[2026-06-02 23:24:52,304][544093] Updated weights for policy 0, policy_version 13625 (0.0009) -[2026-06-02 23:24:52,357][543134] Fps is (10 sec: 16384.1, 60 sec: 15837.9, 300 sec: 14773.4). Total num frames: 6979584. Throughput: 0: 15644.5. Samples: 6970880. Policy #0 lag: (min: 15.0, avg: 20.7, max: 79.0) -[2026-06-02 23:24:52,358][543134] Avg episode reward: [(0, '2106.050')] -[2026-06-02 23:24:54,278][544093] Updated weights for policy 0, policy_version 13685 (0.0009) -[2026-06-02 23:24:56,454][544093] Updated weights for policy 0, policy_version 13753 (0.0010) -[2026-06-02 23:24:57,357][543134] Fps is (10 sec: 16384.0, 60 sec: 15701.3, 300 sec: 14773.4). Total num frames: 7045120. Throughput: 0: 15724.1. Samples: 7065600. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:24:57,358][543134] Avg episode reward: [(0, '2156.200')] -[2026-06-02 23:24:58,543][544093] Updated weights for policy 0, policy_version 13818 (0.0009) -[2026-06-02 23:25:00,305][544021] Signal inference workers to stop experience collection... (650 times) -[2026-06-02 23:25:00,333][544093] InferenceWorker_p0-w0: stopping experience collection (650 times) -[2026-06-02 23:25:00,424][544021] Signal inference workers to resume experience collection... (650 times) -[2026-06-02 23:25:00,425][544093] InferenceWorker_p0-w0: resuming experience collection (650 times) -[2026-06-02 23:25:02,208][544093] Updated weights for policy 0, policy_version 13890 (0.0009) -[2026-06-02 23:25:02,357][543134] Fps is (10 sec: 13926.3, 60 sec: 15428.3, 300 sec: 14801.1). Total num frames: 7118848. Throughput: 0: 15781.0. Samples: 7113728. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:25:02,358][543134] Avg episode reward: [(0, '2136.600')] -[2026-06-02 23:25:02,727][544093] Updated weights for policy 0, policy_version 13952 (0.0010) -[2026-06-02 23:25:06,404][544093] Updated weights for policy 0, policy_version 14034 (0.0010) -[2026-06-02 23:25:07,357][543134] Fps is (10 sec: 16384.0, 60 sec: 15837.9, 300 sec: 14884.4). Total num frames: 7208960. Throughput: 0: 15872.0. Samples: 7209984. Policy #0 lag: (min: 7.0, avg: 11.7, max: 71.0) -[2026-06-02 23:25:07,358][543134] Avg episode reward: [(0, '2224.500')] -[2026-06-02 23:25:08,528][544093] Updated weights for policy 0, policy_version 14112 (0.0011) -[2026-06-02 23:25:10,665][544093] Updated weights for policy 0, policy_version 14178 (0.0010) -[2026-06-02 23:25:12,357][543134] Fps is (10 sec: 15564.9, 60 sec: 15564.8, 300 sec: 14884.4). Total num frames: 7274496. Throughput: 0: 15883.4. Samples: 7305728. Policy #0 lag: (min: 7.0, avg: 11.7, max: 71.0) -[2026-06-02 23:25:12,358][543134] Avg episode reward: [(0, '2316.850')] -[2026-06-02 23:25:12,361][544021] Saving new best policy, reward=2316.850! -[2026-06-02 23:25:12,706][544093] Updated weights for policy 0, policy_version 14240 (0.0010) -[2026-06-02 23:25:14,784][544093] Updated weights for policy 0, policy_version 14290 (0.0009) -[2026-06-02 23:25:16,874][544093] Updated weights for policy 0, policy_version 14354 (0.0006) -[2026-06-02 23:25:17,357][543134] Fps is (10 sec: 16384.0, 60 sec: 15837.9, 300 sec: 14995.5). Total num frames: 7372800. Throughput: 0: 15690.0. Samples: 7348224. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 23:25:17,358][543134] Avg episode reward: [(0, '2480.250')] -[2026-06-02 23:25:17,361][544021] Saving new best policy, reward=2480.250! -[2026-06-02 23:25:18,839][544093] Updated weights for policy 0, policy_version 14418 (0.0010) -[2026-06-02 23:25:21,072][544093] Updated weights for policy 0, policy_version 14498 (0.0010) -[2026-06-02 23:25:22,357][543134] Fps is (10 sec: 16384.0, 60 sec: 15837.9, 300 sec: 14995.5). Total num frames: 7438336. Throughput: 0: 15803.7. Samples: 7443968. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 23:25:22,358][543134] Avg episode reward: [(0, '2632.600')] -[2026-06-02 23:25:22,360][544021] Saving new best policy, reward=2632.600! -[2026-06-02 23:25:23,272][544093] Updated weights for policy 0, policy_version 14576 (0.0011) -[2026-06-02 23:25:25,400][544093] Updated weights for policy 0, policy_version 14642 (0.0011) -[2026-06-02 23:25:27,357][543134] Fps is (10 sec: 13926.4, 60 sec: 15564.8, 300 sec: 15023.3). Total num frames: 7512064. Throughput: 0: 15781.0. Samples: 7538688. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 23:25:27,358][543134] Avg episode reward: [(0, '2817.250')] -[2026-06-02 23:25:27,526][544021] Saving new best policy, reward=2817.250! -[2026-06-02 23:25:27,589][544093] Updated weights for policy 0, policy_version 14706 (0.0009) -[2026-06-02 23:25:29,522][544093] Updated weights for policy 0, policy_version 14768 (0.0010) -[2026-06-02 23:25:31,588][544093] Updated weights for policy 0, policy_version 14834 (0.0011) -[2026-06-02 23:25:32,357][543134] Fps is (10 sec: 16384.0, 60 sec: 15837.9, 300 sec: 15078.8). Total num frames: 7602176. Throughput: 0: 15689.9. Samples: 7586304. Policy #0 lag: (min: 47.0, avg: 51.6, max: 111.0) -[2026-06-02 23:25:32,358][543134] Avg episode reward: [(0, '2855.400')] -[2026-06-02 23:25:32,360][544021] Saving new best policy, reward=2855.400! -[2026-06-02 23:25:33,726][544093] Updated weights for policy 0, policy_version 14898 (0.0010) -[2026-06-02 23:25:35,370][544021] Signal inference workers to stop experience collection... (700 times) -[2026-06-02 23:25:35,399][544093] InferenceWorker_p0-w0: stopping experience collection (700 times) -[2026-06-02 23:25:35,488][544021] Signal inference workers to resume experience collection... (700 times) -[2026-06-02 23:25:35,489][544093] InferenceWorker_p0-w0: resuming experience collection (700 times) -[2026-06-02 23:25:35,719][544093] Updated weights for policy 0, policy_version 14970 (0.0010) -[2026-06-02 23:25:37,357][543134] Fps is (10 sec: 15564.7, 60 sec: 15837.9, 300 sec: 14995.5). Total num frames: 7667712. Throughput: 0: 15826.5. Samples: 7683072. Policy #0 lag: (min: 47.0, avg: 51.6, max: 111.0) -[2026-06-02 23:25:37,358][543134] Avg episode reward: [(0, '2880.000')] -[2026-06-02 23:25:37,481][544021] Saving new best policy, reward=2880.000! -[2026-06-02 23:25:37,721][544093] Updated weights for policy 0, policy_version 15036 (0.0009) -[2026-06-02 23:25:39,683][544093] Updated weights for policy 0, policy_version 15100 (0.0011) -[2026-06-02 23:25:41,767][544093] Updated weights for policy 0, policy_version 15168 (0.0009) -[2026-06-02 23:25:42,357][543134] Fps is (10 sec: 16384.0, 60 sec: 15837.9, 300 sec: 15106.6). Total num frames: 7766016. Throughput: 0: 15894.7. Samples: 7780864. Policy #0 lag: (min: 0.0, avg: 5.7, max: 64.0) -[2026-06-02 23:25:42,358][543134] Avg episode reward: [(0, '2933.400')] -[2026-06-02 23:25:42,362][544021] Saving new best policy, reward=2933.400! -[2026-06-02 23:25:43,955][544093] Updated weights for policy 0, policy_version 15232 (0.0010) -[2026-06-02 23:25:46,115][544093] Updated weights for policy 0, policy_version 15296 (0.0010) -[2026-06-02 23:25:47,357][543134] Fps is (10 sec: 16384.1, 60 sec: 15837.9, 300 sec: 15106.6). Total num frames: 7831552. Throughput: 0: 15872.0. Samples: 7827968. Policy #0 lag: (min: 0.0, avg: 5.7, max: 64.0) -[2026-06-02 23:25:47,358][543134] Avg episode reward: [(0, '2976.800')] -[2026-06-02 23:25:47,362][544021] Saving new best policy, reward=2976.800! -[2026-06-02 23:25:49,633][544093] Updated weights for policy 0, policy_version 15362 (0.0010) -[2026-06-02 23:25:50,137][544093] Updated weights for policy 0, policy_version 15423 (0.0009) -[2026-06-02 23:25:52,251][544093] Updated weights for policy 0, policy_version 15488 (0.0010) -[2026-06-02 23:25:52,357][543134] Fps is (10 sec: 16383.9, 60 sec: 15837.8, 300 sec: 15217.7). Total num frames: 7929856. Throughput: 0: 15883.4. Samples: 7924736. Policy #0 lag: (min: 8.0, avg: 13.2, max: 72.0) -[2026-06-02 23:25:52,358][543134] Avg episode reward: [(0, '2953.600')] -[2026-06-02 23:25:54,277][544093] Updated weights for policy 0, policy_version 15549 (0.0010) -[2026-06-02 23:25:56,426][544093] Updated weights for policy 0, policy_version 15616 (0.0010) -[2026-06-02 23:25:57,357][543134] Fps is (10 sec: 16383.9, 60 sec: 15837.9, 300 sec: 15217.7). Total num frames: 7995392. Throughput: 0: 15849.2. Samples: 8018944. Policy #0 lag: (min: 8.0, avg: 13.2, max: 72.0) -[2026-06-02 23:25:57,358][543134] Avg episode reward: [(0, '2999.850')] -[2026-06-02 23:25:57,361][544021] Saving new best policy, reward=2999.850! -[2026-06-02 23:25:58,420][544093] Updated weights for policy 0, policy_version 15680 (0.0010) -[2026-06-02 23:26:00,527][544093] Updated weights for policy 0, policy_version 15744 (0.0011) -[2026-06-02 23:26:02,357][543134] Fps is (10 sec: 15564.9, 60 sec: 16110.9, 300 sec: 15301.0). Total num frames: 8085504. Throughput: 0: 15917.5. Samples: 8064512. Policy #0 lag: (min: 8.0, avg: 13.2, max: 72.0) -[2026-06-02 23:26:02,358][543134] Avg episode reward: [(0, '3072.950')] -[2026-06-02 23:26:02,438][544021] Saving new best policy, reward=3072.950! -[2026-06-02 23:26:03,949][544093] Updated weights for policy 0, policy_version 15810 (0.0010) -[2026-06-02 23:26:06,072][544093] Updated weights for policy 0, policy_version 15888 (0.0010) -[2026-06-02 23:26:07,357][543134] Fps is (10 sec: 16384.0, 60 sec: 15837.9, 300 sec: 15245.4). Total num frames: 8159232. Throughput: 0: 15985.8. Samples: 8163328. Policy #0 lag: (min: 6.0, avg: 11.1, max: 70.0) -[2026-06-02 23:26:07,358][543134] Avg episode reward: [(0, '3057.850')] -[2026-06-02 23:26:08,157][544093] Updated weights for policy 0, policy_version 15969 (0.0010) -[2026-06-02 23:26:10,070][544021] Signal inference workers to stop experience collection... (750 times) -[2026-06-02 23:26:10,118][544093] InferenceWorker_p0-w0: stopping experience collection (750 times) -[2026-06-02 23:26:10,217][544021] Signal inference workers to resume experience collection... (750 times) -[2026-06-02 23:26:10,218][544093] InferenceWorker_p0-w0: resuming experience collection (750 times) -[2026-06-02 23:26:10,444][544093] Updated weights for policy 0, policy_version 16048 (0.0012) -[2026-06-02 23:26:12,357][543134] Fps is (10 sec: 13926.4, 60 sec: 15837.9, 300 sec: 15217.7). Total num frames: 8224768. Throughput: 0: 15997.1. Samples: 8258560. Policy #0 lag: (min: 6.0, avg: 11.1, max: 70.0) -[2026-06-02 23:26:12,358][543134] Avg episode reward: [(0, '3167.600')] -[2026-06-02 23:26:12,500][544021] Saving new best policy, reward=3167.600! -[2026-06-02 23:26:12,700][544093] Updated weights for policy 0, policy_version 16118 (0.0009) -[2026-06-02 23:26:14,727][544093] Updated weights for policy 0, policy_version 16182 (0.0010) -[2026-06-02 23:26:16,825][544093] Updated weights for policy 0, policy_version 16256 (0.0010) -[2026-06-02 23:26:17,357][543134] Fps is (10 sec: 16383.9, 60 sec: 15837.8, 300 sec: 15328.8). Total num frames: 8323072. Throughput: 0: 15985.8. Samples: 8305664. Policy #0 lag: (min: 15.0, avg: 19.7, max: 79.0) -[2026-06-02 23:26:17,358][543134] Avg episode reward: [(0, '3224.450')] -[2026-06-02 23:26:17,361][544021] Saving new best policy, reward=3224.450! -[2026-06-02 23:26:18,904][544093] Updated weights for policy 0, policy_version 16320 (0.0010) -[2026-06-02 23:26:20,994][544093] Updated weights for policy 0, policy_version 16384 (0.0009) -[2026-06-02 23:26:22,357][543134] Fps is (10 sec: 16384.0, 60 sec: 15837.9, 300 sec: 15328.8). Total num frames: 8388608. Throughput: 0: 15963.0. Samples: 8401408. Policy #0 lag: (min: 15.0, avg: 19.7, max: 79.0) -[2026-06-02 23:26:22,358][543134] Avg episode reward: [(0, '3366.150')] -[2026-06-02 23:26:22,362][544021] Saving new best policy, reward=3366.150! -[2026-06-02 23:26:24,889][544093] Updated weights for policy 0, policy_version 16480 (0.0010) -[2026-06-02 23:26:26,953][544093] Updated weights for policy 0, policy_version 16544 (0.0010) -[2026-06-02 23:26:27,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16247.5, 300 sec: 15439.8). Total num frames: 8486912. Throughput: 0: 15860.6. Samples: 8494592. Policy #0 lag: (min: 15.0, avg: 19.7, max: 79.0) -[2026-06-02 23:26:27,358][543134] Avg episode reward: [(0, '3353.250')] -[2026-06-02 23:26:28,954][544093] Updated weights for policy 0, policy_version 16594 (0.0010) -[2026-06-02 23:26:30,993][544093] Updated weights for policy 0, policy_version 16658 (0.0011) -[2026-06-02 23:26:32,357][543134] Fps is (10 sec: 16383.9, 60 sec: 15837.9, 300 sec: 15439.8). Total num frames: 8552448. Throughput: 0: 15906.1. Samples: 8543744. Policy #0 lag: (min: 6.0, avg: 11.1, max: 70.0) -[2026-06-02 23:26:32,358][543134] Avg episode reward: [(0, '3511.000')] -[2026-06-02 23:26:32,362][544021] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride5_seed14/checkpoint_p0/checkpoint_000016704_8552448.pth... -[2026-06-02 23:26:32,404][544021] Saving new best policy, reward=3511.000! -[2026-06-02 23:26:33,125][544093] Updated weights for policy 0, policy_version 16736 (0.0010) -[2026-06-02 23:26:35,318][544093] Updated weights for policy 0, policy_version 16800 (0.0010) -[2026-06-02 23:26:37,357][543134] Fps is (10 sec: 13926.3, 60 sec: 15974.4, 300 sec: 15356.5). Total num frames: 8626176. Throughput: 0: 15781.0. Samples: 8634880. Policy #0 lag: (min: 6.0, avg: 11.1, max: 70.0) -[2026-06-02 23:26:37,358][543134] Avg episode reward: [(0, '3487.750')] -[2026-06-02 23:26:37,581][544093] Updated weights for policy 0, policy_version 16882 (0.0010) -[2026-06-02 23:26:39,620][544093] Updated weights for policy 0, policy_version 16944 (0.0011) -[2026-06-02 23:26:41,682][544093] Updated weights for policy 0, policy_version 17008 (0.0010) -[2026-06-02 23:26:42,357][543134] Fps is (10 sec: 16384.0, 60 sec: 15837.9, 300 sec: 15439.8). Total num frames: 8716288. Throughput: 0: 15837.9. Samples: 8731648. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 23:26:42,358][543134] Avg episode reward: [(0, '3401.750')] -[2026-06-02 23:26:43,530][544021] Signal inference workers to stop experience collection... (800 times) -[2026-06-02 23:26:43,557][544093] InferenceWorker_p0-w0: stopping experience collection (800 times) -[2026-06-02 23:26:43,577][544093] Updated weights for policy 0, policy_version 17059 (0.0008) -[2026-06-02 23:26:43,644][544021] Signal inference workers to resume experience collection... (800 times) -[2026-06-02 23:26:43,644][544093] InferenceWorker_p0-w0: resuming experience collection (800 times) -[2026-06-02 23:26:45,468][544093] Updated weights for policy 0, policy_version 17123 (0.0009) -[2026-06-02 23:26:47,357][543134] Fps is (10 sec: 16384.0, 60 sec: 15974.4, 300 sec: 15467.6). Total num frames: 8790016. Throughput: 0: 15985.8. Samples: 8783872. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 23:26:47,358][543134] Avg episode reward: [(0, '3462.500')] -[2026-06-02 23:26:47,608][544093] Updated weights for policy 0, policy_version 17208 (0.0010) -[2026-06-02 23:26:49,661][544093] Updated weights for policy 0, policy_version 17276 (0.0011) -[2026-06-02 23:26:52,357][543134] Fps is (10 sec: 16383.9, 60 sec: 15837.9, 300 sec: 15523.1). Total num frames: 8880128. Throughput: 0: 15951.6. Samples: 8881152. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 23:26:52,358][543134] Avg episode reward: [(0, '3508.300')] -[2026-06-02 23:26:53,246][544093] Updated weights for policy 0, policy_version 17346 (0.0011) -[2026-06-02 23:26:55,482][544093] Updated weights for policy 0, policy_version 17426 (0.0010) -[2026-06-02 23:26:57,357][543134] Fps is (10 sec: 15564.9, 60 sec: 15837.9, 300 sec: 15439.8). Total num frames: 8945664. Throughput: 0: 15997.2. Samples: 8978432. Policy #0 lag: (min: 52.0, avg: 57.3, max: 116.0) -[2026-06-02 23:26:57,358][543134] Avg episode reward: [(0, '3533.650')] -[2026-06-02 23:26:57,524][544093] Updated weights for policy 0, policy_version 17490 (0.0010) -[2026-06-02 23:26:57,582][544021] Saving new best policy, reward=3533.650! -[2026-06-02 23:26:59,563][544093] Updated weights for policy 0, policy_version 17554 (0.0009) -[2026-06-02 23:27:01,729][544093] Updated weights for policy 0, policy_version 17618 (0.0010) -[2026-06-02 23:27:02,357][543134] Fps is (10 sec: 16384.1, 60 sec: 15974.4, 300 sec: 15550.9). Total num frames: 9043968. Throughput: 0: 15963.0. Samples: 9024000. Policy #0 lag: (min: 52.0, avg: 57.3, max: 116.0) -[2026-06-02 23:27:02,358][543134] Avg episode reward: [(0, '3873.150')] -[2026-06-02 23:27:02,362][544021] Saving new best policy, reward=3873.150! -[2026-06-02 23:27:03,801][544093] Updated weights for policy 0, policy_version 17682 (0.0009) -[2026-06-02 23:27:06,084][544093] Updated weights for policy 0, policy_version 17780 (0.0010) -[2026-06-02 23:27:07,357][543134] Fps is (10 sec: 16384.0, 60 sec: 15837.9, 300 sec: 15550.9). Total num frames: 9109504. Throughput: 0: 15917.5. Samples: 9117696. Policy #0 lag: (min: 40.0, avg: 44.6, max: 104.0) -[2026-06-02 23:27:07,358][543134] Avg episode reward: [(0, '3611.650')] -[2026-06-02 23:27:08,047][544093] Updated weights for policy 0, policy_version 17840 (0.0009) -[2026-06-02 23:27:09,870][544093] Updated weights for policy 0, policy_version 17904 (0.0010) -[2026-06-02 23:27:11,951][544093] Updated weights for policy 0, policy_version 17970 (0.0010) -[2026-06-02 23:27:12,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 15578.7). Total num frames: 9207808. Throughput: 0: 16076.8. Samples: 9218048. Policy #0 lag: (min: 40.0, avg: 44.6, max: 104.0) -[2026-06-02 23:27:12,358][543134] Avg episode reward: [(0, '3608.050')] -[2026-06-02 23:27:13,943][544093] Updated weights for policy 0, policy_version 18032 (0.0007) -[2026-06-02 23:27:16,099][544093] Updated weights for policy 0, policy_version 18101 (0.0006) -[2026-06-02 23:27:17,357][543134] Fps is (10 sec: 16384.0, 60 sec: 15837.9, 300 sec: 15550.9). Total num frames: 9273344. Throughput: 0: 16111.0. Samples: 9268736. Policy #0 lag: (min: 40.0, avg: 44.6, max: 104.0) -[2026-06-02 23:27:17,358][543134] Avg episode reward: [(0, '3570.550')] -[2026-06-02 23:27:17,856][544021] Signal inference workers to stop experience collection... (850 times) -[2026-06-02 23:27:17,887][544093] InferenceWorker_p0-w0: stopping experience collection (850 times) -[2026-06-02 23:27:17,962][544021] Signal inference workers to resume experience collection... (850 times) -[2026-06-02 23:27:17,962][544093] InferenceWorker_p0-w0: resuming experience collection (850 times) -[2026-06-02 23:27:18,156][544093] Updated weights for policy 0, policy_version 18167 (0.0009) -[2026-06-02 23:27:20,105][544093] Updated weights for policy 0, policy_version 18229 (0.0010) -[2026-06-02 23:27:22,091][544093] Updated weights for policy 0, policy_version 18299 (0.0010) -[2026-06-02 23:27:22,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16384.0, 300 sec: 15662.0). Total num frames: 9371648. Throughput: 0: 16236.1. Samples: 9365504. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 23:27:22,358][543134] Avg episode reward: [(0, '3779.450')] -[2026-06-02 23:27:24,091][544093] Updated weights for policy 0, policy_version 18368 (0.0010) -[2026-06-02 23:27:26,162][544093] Updated weights for policy 0, policy_version 18432 (0.0010) -[2026-06-02 23:27:27,357][543134] Fps is (10 sec: 16384.0, 60 sec: 15837.9, 300 sec: 15662.0). Total num frames: 9437184. Throughput: 0: 16293.0. Samples: 9464832. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 23:27:27,358][543134] Avg episode reward: [(0, '3866.000')] -[2026-06-02 23:27:28,103][544093] Updated weights for policy 0, policy_version 18496 (0.0011) -[2026-06-02 23:27:31,714][544093] Updated weights for policy 0, policy_version 18578 (0.0010) -[2026-06-02 23:27:32,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16384.0, 300 sec: 15717.5). Total num frames: 9535488. Throughput: 0: 16236.1. Samples: 9514496. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 23:27:32,358][543134] Avg episode reward: [(0, '3940.600')] -[2026-06-02 23:27:32,362][544021] Saving new best policy, reward=3940.600! -[2026-06-02 23:27:33,916][544093] Updated weights for policy 0, policy_version 18672 (0.0010) -[2026-06-02 23:27:36,058][544093] Updated weights for policy 0, policy_version 18742 (0.0007) -[2026-06-02 23:27:37,357][543134] Fps is (10 sec: 16383.8, 60 sec: 16247.5, 300 sec: 15662.0). Total num frames: 9601024. Throughput: 0: 16190.6. Samples: 9609728. Policy #0 lag: (min: 5.0, avg: 10.7, max: 69.0) -[2026-06-02 23:27:37,358][543134] Avg episode reward: [(0, '4051.950')] -[2026-06-02 23:27:37,362][544021] Saving new best policy, reward=4051.950! -[2026-06-02 23:27:38,130][544093] Updated weights for policy 0, policy_version 18816 (0.0008) -[2026-06-02 23:27:40,077][544093] Updated weights for policy 0, policy_version 18880 (0.0010) -[2026-06-02 23:27:42,150][544093] Updated weights for policy 0, policy_version 18942 (0.0010) -[2026-06-02 23:27:42,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16384.0, 300 sec: 15773.1). Total num frames: 9699328. Throughput: 0: 16213.3. Samples: 9708032. Policy #0 lag: (min: 5.0, avg: 10.7, max: 69.0) -[2026-06-02 23:27:42,358][543134] Avg episode reward: [(0, '3893.900')] -[2026-06-02 23:27:44,194][544093] Updated weights for policy 0, policy_version 19003 (0.0010) -[2026-06-02 23:27:46,103][544093] Updated weights for policy 0, policy_version 19068 (0.0010) -[2026-06-02 23:27:47,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16247.5, 300 sec: 15745.3). Total num frames: 9764864. Throughput: 0: 16349.9. Samples: 9759744. Policy #0 lag: (min: 5.0, avg: 10.7, max: 69.0) -[2026-06-02 23:27:47,358][543134] Avg episode reward: [(0, '4002.850')] -[2026-06-02 23:27:49,776][544093] Updated weights for policy 0, policy_version 19152 (0.0010) -[2026-06-02 23:27:51,690][544021] Signal inference workers to stop experience collection... (900 times) -[2026-06-02 23:27:51,717][544093] InferenceWorker_p0-w0: stopping experience collection (900 times) -[2026-06-02 23:27:51,814][544021] Signal inference workers to resume experience collection... (900 times) -[2026-06-02 23:27:51,814][544093] InferenceWorker_p0-w0: resuming experience collection (900 times) -[2026-06-02 23:27:52,040][544093] Updated weights for policy 0, policy_version 19248 (0.0011) -[2026-06-02 23:27:52,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 15773.1). Total num frames: 9863168. Throughput: 0: 16440.9. Samples: 9857536. Policy #0 lag: (min: 15.0, avg: 21.1, max: 79.0) -[2026-06-02 23:27:52,358][543134] Avg episode reward: [(0, '4098.300')] -[2026-06-02 23:27:52,363][544021] Saving new best policy, reward=4098.300! -[2026-06-02 23:27:54,095][544093] Updated weights for policy 0, policy_version 19298 (0.0010) -[2026-06-02 23:27:56,114][544093] Updated weights for policy 0, policy_version 19362 (0.0010) -[2026-06-02 23:27:57,357][543134] Fps is (10 sec: 16384.2, 60 sec: 16384.0, 300 sec: 15773.1). Total num frames: 9928704. Throughput: 0: 16281.6. Samples: 9950720. Policy #0 lag: (min: 15.0, avg: 21.1, max: 79.0) -[2026-06-02 23:27:57,358][543134] Avg episode reward: [(0, '4181.000')] -[2026-06-02 23:27:57,361][544021] Saving new best policy, reward=4181.000! -[2026-06-02 23:27:58,378][544093] Updated weights for policy 0, policy_version 19440 (0.0010) -[2026-06-02 23:28:00,548][544093] Updated weights for policy 0, policy_version 19509 (0.0012) -[2026-06-02 23:28:02,357][543134] Fps is (10 sec: 13107.3, 60 sec: 15837.9, 300 sec: 15773.1). Total num frames: 9994240. Throughput: 0: 16156.4. Samples: 9995776. Policy #0 lag: (min: 15.0, avg: 21.1, max: 79.0) -[2026-06-02 23:28:02,358][543134] Avg episode reward: [(0, '4358.000')] -[2026-06-02 23:28:02,542][544021] Saving new best policy, reward=4358.000! -[2026-06-02 23:28:02,785][544093] Updated weights for policy 0, policy_version 19580 (0.0010) -[2026-06-02 23:28:04,728][544093] Updated weights for policy 0, policy_version 19644 (0.0011) -[2026-06-02 23:28:06,698][544093] Updated weights for policy 0, policy_version 19708 (0.0010) -[2026-06-02 23:28:07,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16384.0, 300 sec: 15828.6). Total num frames: 10092544. Throughput: 0: 16179.2. Samples: 10093568. Policy #0 lag: (min: 10.0, avg: 14.2, max: 74.0) -[2026-06-02 23:28:07,358][543134] Avg episode reward: [(0, '4317.550')] -[2026-06-02 23:28:08,784][544093] Updated weights for policy 0, policy_version 19773 (0.0006) -[2026-06-02 23:28:10,819][544093] Updated weights for policy 0, policy_version 19839 (0.0005) -[2026-06-02 23:28:12,357][543134] Fps is (10 sec: 16384.0, 60 sec: 15837.9, 300 sec: 15773.1). Total num frames: 10158080. Throughput: 0: 16156.4. Samples: 10191872. Policy #0 lag: (min: 10.0, avg: 14.2, max: 74.0) -[2026-06-02 23:28:12,358][543134] Avg episode reward: [(0, '4443.650')] -[2026-06-02 23:28:12,522][544021] Saving new best policy, reward=4443.650! -[2026-06-02 23:28:12,785][544093] Updated weights for policy 0, policy_version 19899 (0.0005) -[2026-06-02 23:28:14,679][544093] Updated weights for policy 0, policy_version 19963 (0.0005) -[2026-06-02 23:28:16,776][544093] Updated weights for policy 0, policy_version 20031 (0.0005) -[2026-06-02 23:28:17,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 15884.1). Total num frames: 10256384. Throughput: 0: 16122.3. Samples: 10240000. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 23:28:17,358][543134] Avg episode reward: [(0, '4582.300')] -[2026-06-02 23:28:17,362][544021] Saving new best policy, reward=4582.300! -[2026-06-02 23:28:18,722][544093] Updated weights for policy 0, policy_version 20096 (0.0005) -[2026-06-02 23:28:20,666][544093] Updated weights for policy 0, policy_version 20158 (0.0005) -[2026-06-02 23:28:22,357][543134] Fps is (10 sec: 17203.1, 60 sec: 15974.4, 300 sec: 15911.9). Total num frames: 10330112. Throughput: 0: 16202.0. Samples: 10338816. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 23:28:22,358][543134] Avg episode reward: [(0, '4658.800')] -[2026-06-02 23:28:22,563][544021] Saving new best policy, reward=4658.800! -[2026-06-02 23:28:22,729][544093] Updated weights for policy 0, policy_version 20223 (0.0009) -[2026-06-02 23:28:24,547][544021] Signal inference workers to stop experience collection... (950 times) -[2026-06-02 23:28:24,576][544093] InferenceWorker_p0-w0: stopping experience collection (950 times) -[2026-06-02 23:28:24,659][544021] Signal inference workers to resume experience collection... (950 times) -[2026-06-02 23:28:24,659][544093] InferenceWorker_p0-w0: resuming experience collection (950 times) -[2026-06-02 23:28:24,793][544093] Updated weights for policy 0, policy_version 20286 (0.0010) -[2026-06-02 23:28:27,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16384.0, 300 sec: 15884.1). Total num frames: 10420224. Throughput: 0: 16167.8. Samples: 10435584. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 23:28:27,358][543134] Avg episode reward: [(0, '4571.450')] -[2026-06-02 23:28:28,289][544093] Updated weights for policy 0, policy_version 20354 (0.0010) -[2026-06-02 23:28:30,294][544093] Updated weights for policy 0, policy_version 20418 (0.0010) -[2026-06-02 23:28:32,279][544093] Updated weights for policy 0, policy_version 20482 (0.0010) -[2026-06-02 23:28:32,357][543134] Fps is (10 sec: 15564.8, 60 sec: 15837.9, 300 sec: 15884.1). Total num frames: 10485760. Throughput: 0: 16156.4. Samples: 10486784. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:28:32,358][543134] Avg episode reward: [(0, '4354.350')] -[2026-06-02 23:28:32,782][544093] Updated weights for policy 0, policy_version 20544 (0.0010) -[2026-06-02 23:28:34,671][544093] Updated weights for policy 0, policy_version 20608 (0.0009) -[2026-06-02 23:28:37,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16384.0, 300 sec: 15967.5). Total num frames: 10584064. Throughput: 0: 16202.0. Samples: 10586624. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:28:37,358][543134] Avg episode reward: [(0, '4317.200')] -[2026-06-02 23:28:38,392][544093] Updated weights for policy 0, policy_version 20706 (0.0010) -[2026-06-02 23:28:40,495][544093] Updated weights for policy 0, policy_version 20771 (0.0009) -[2026-06-02 23:28:42,357][543134] Fps is (10 sec: 17203.4, 60 sec: 15974.4, 300 sec: 15911.9). Total num frames: 10657792. Throughput: 0: 16281.6. Samples: 10683392. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:28:42,358][543134] Avg episode reward: [(0, '4494.050')] -[2026-06-02 23:28:42,449][544093] Updated weights for policy 0, policy_version 20832 (0.0009) -[2026-06-02 23:28:44,494][544093] Updated weights for policy 0, policy_version 20912 (0.0009) -[2026-06-02 23:28:46,328][544093] Updated weights for policy 0, policy_version 20962 (0.0009) -[2026-06-02 23:28:47,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 15995.2). Total num frames: 10747904. Throughput: 0: 16406.8. Samples: 10734080. Policy #0 lag: (min: 49.0, avg: 54.1, max: 113.0) -[2026-06-02 23:28:47,358][543134] Avg episode reward: [(0, '4439.300')] -[2026-06-02 23:28:48,140][544093] Updated weights for policy 0, policy_version 21010 (0.0009) -[2026-06-02 23:28:50,040][544093] Updated weights for policy 0, policy_version 21074 (0.0009) -[2026-06-02 23:28:52,083][544093] Updated weights for policy 0, policy_version 21138 (0.0009) -[2026-06-02 23:28:52,357][543134] Fps is (10 sec: 18022.4, 60 sec: 16247.5, 300 sec: 16050.8). Total num frames: 10838016. Throughput: 0: 16486.4. Samples: 10835456. Policy #0 lag: (min: 49.0, avg: 54.1, max: 113.0) -[2026-06-02 23:28:52,358][543134] Avg episode reward: [(0, '4672.800')] -[2026-06-02 23:28:52,446][544021] Saving new best policy, reward=4672.800! -[2026-06-02 23:28:54,059][544093] Updated weights for policy 0, policy_version 21203 (0.0009) -[2026-06-02 23:28:55,950][544093] Updated weights for policy 0, policy_version 21264 (0.0009) -[2026-06-02 23:28:57,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 15995.2). Total num frames: 10911744. Throughput: 0: 16509.2. Samples: 10934784. Policy #0 lag: (min: 49.0, avg: 54.1, max: 113.0) -[2026-06-02 23:28:57,358][543134] Avg episode reward: [(0, '4775.250')] -[2026-06-02 23:28:57,361][544021] Saving new best policy, reward=4775.250! -[2026-06-02 23:28:58,051][544021] Signal inference workers to stop experience collection... (1000 times) -[2026-06-02 23:28:58,080][544093] InferenceWorker_p0-w0: stopping experience collection (1000 times) -[2026-06-02 23:28:58,160][544021] Signal inference workers to resume experience collection... (1000 times) -[2026-06-02 23:28:58,161][544093] InferenceWorker_p0-w0: resuming experience collection (1000 times) -[2026-06-02 23:28:58,208][544093] Updated weights for policy 0, policy_version 21346 (0.0010) -[2026-06-02 23:29:00,154][544093] Updated weights for policy 0, policy_version 21408 (0.0011) -[2026-06-02 23:29:02,167][544093] Updated weights for policy 0, policy_version 21472 (0.0010) -[2026-06-02 23:29:02,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16793.6, 300 sec: 16078.5). Total num frames: 11001856. Throughput: 0: 16497.8. Samples: 10982400. Policy #0 lag: (min: 15.0, avg: 19.7, max: 79.0) -[2026-06-02 23:29:02,358][543134] Avg episode reward: [(0, '4773.650')] -[2026-06-02 23:29:04,199][544093] Updated weights for policy 0, policy_version 21536 (0.0010) -[2026-06-02 23:29:06,301][544093] Updated weights for policy 0, policy_version 21616 (0.0010) -[2026-06-02 23:29:07,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16384.0, 300 sec: 16050.8). Total num frames: 11075584. Throughput: 0: 16463.7. Samples: 11079680. Policy #0 lag: (min: 15.0, avg: 19.7, max: 79.0) -[2026-06-02 23:29:07,358][543134] Avg episode reward: [(0, '4830.500')] -[2026-06-02 23:29:07,362][544021] Saving new best policy, reward=4830.500! -[2026-06-02 23:29:08,356][544093] Updated weights for policy 0, policy_version 21682 (0.0010) -[2026-06-02 23:29:10,341][544093] Updated weights for policy 0, policy_version 21744 (0.0010) -[2026-06-02 23:29:12,357][543134] Fps is (10 sec: 15564.7, 60 sec: 16657.0, 300 sec: 16050.8). Total num frames: 11157504. Throughput: 0: 16463.6. Samples: 11176448. Policy #0 lag: (min: 15.0, avg: 19.7, max: 79.0) -[2026-06-02 23:29:12,358][543134] Avg episode reward: [(0, '4873.750')] -[2026-06-02 23:29:12,406][544093] Updated weights for policy 0, policy_version 21810 (0.0009) -[2026-06-02 23:29:12,522][544021] Saving new best policy, reward=4873.750! -[2026-06-02 23:29:14,470][544093] Updated weights for policy 0, policy_version 21874 (0.0011) -[2026-06-02 23:29:16,293][544093] Updated weights for policy 0, policy_version 21922 (0.0009) -[2026-06-02 23:29:17,357][543134] Fps is (10 sec: 16383.7, 60 sec: 16384.0, 300 sec: 16106.3). Total num frames: 11239424. Throughput: 0: 16452.2. Samples: 11227136. Policy #0 lag: (min: 15.0, avg: 21.3, max: 79.0) -[2026-06-02 23:29:17,358][543134] Avg episode reward: [(0, '4971.200')] -[2026-06-02 23:29:17,362][544021] Saving new best policy, reward=4971.200! -[2026-06-02 23:29:18,240][544093] Updated weights for policy 0, policy_version 21986 (0.0009) -[2026-06-02 23:29:20,226][544093] Updated weights for policy 0, policy_version 22048 (0.0009) -[2026-06-02 23:29:22,274][544093] Updated weights for policy 0, policy_version 22112 (0.0009) -[2026-06-02 23:29:22,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16520.5, 300 sec: 16078.5). Total num frames: 11321344. Throughput: 0: 16418.1. Samples: 11325440. Policy #0 lag: (min: 15.0, avg: 21.3, max: 79.0) -[2026-06-02 23:29:22,359][543134] Avg episode reward: [(0, '5065.100')] -[2026-06-02 23:29:22,557][544021] Saving new best policy, reward=5065.100! -[2026-06-02 23:29:24,305][544093] Updated weights for policy 0, policy_version 22178 (0.0009) -[2026-06-02 23:29:26,144][544093] Updated weights for policy 0, policy_version 22226 (0.0009) -[2026-06-02 23:29:27,357][543134] Fps is (10 sec: 16384.3, 60 sec: 16384.0, 300 sec: 16106.3). Total num frames: 11403264. Throughput: 0: 16486.4. Samples: 11425280. Policy #0 lag: (min: 15.0, avg: 21.3, max: 79.0) -[2026-06-02 23:29:27,358][543134] Avg episode reward: [(0, '5199.700')] -[2026-06-02 23:29:27,361][544021] Saving new best policy, reward=5199.700! -[2026-06-02 23:29:28,228][544093] Updated weights for policy 0, policy_version 22304 (0.0010) -[2026-06-02 23:29:30,149][544093] Updated weights for policy 0, policy_version 22354 (0.0009) -[2026-06-02 23:29:32,023][544021] Signal inference workers to stop experience collection... (1050 times) -[2026-06-02 23:29:32,049][544093] InferenceWorker_p0-w0: stopping experience collection (1050 times) -[2026-06-02 23:29:32,158][544021] Signal inference workers to resume experience collection... (1050 times) -[2026-06-02 23:29:32,159][544093] InferenceWorker_p0-w0: resuming experience collection (1050 times) -[2026-06-02 23:29:32,161][544093] Updated weights for policy 0, policy_version 22416 (0.0010) -[2026-06-02 23:29:32,357][543134] Fps is (10 sec: 16384.2, 60 sec: 16657.1, 300 sec: 16161.8). Total num frames: 11485184. Throughput: 0: 16406.7. Samples: 11472384. Policy #0 lag: (min: 5.0, avg: 11.0, max: 69.0) -[2026-06-02 23:29:32,358][543134] Avg episode reward: [(0, '5345.400')] -[2026-06-02 23:29:32,550][544021] Saving new best policy, reward=5345.400! -[2026-06-02 23:29:34,038][544093] Updated weights for policy 0, policy_version 22466 (0.0010) -[2026-06-02 23:29:36,018][544093] Updated weights for policy 0, policy_version 22529 (0.0008) -[2026-06-02 23:29:36,507][544093] Updated weights for policy 0, policy_version 22592 (0.0005) -[2026-06-02 23:29:37,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16384.0, 300 sec: 16106.3). Total num frames: 11567104. Throughput: 0: 16327.1. Samples: 11570176. Policy #0 lag: (min: 5.0, avg: 11.0, max: 69.0) -[2026-06-02 23:29:37,358][543134] Avg episode reward: [(0, '5348.400')] -[2026-06-02 23:29:37,362][544021] Saving new best policy, reward=5348.400! -[2026-06-02 23:29:38,429][544093] Updated weights for policy 0, policy_version 22654 (0.0005) -[2026-06-02 23:29:40,223][544093] Updated weights for policy 0, policy_version 22715 (0.0008) -[2026-06-02 23:29:42,357][543134] Fps is (10 sec: 18022.4, 60 sec: 16793.6, 300 sec: 16217.4). Total num frames: 11665408. Throughput: 0: 16440.9. Samples: 11674624. Policy #0 lag: (min: 5.0, avg: 11.0, max: 69.0) -[2026-06-02 23:29:42,358][543134] Avg episode reward: [(0, '5465.250')] -[2026-06-02 23:29:42,361][544021] Saving new best policy, reward=5465.250! -[2026-06-02 23:29:43,686][544093] Updated weights for policy 0, policy_version 22785 (0.0009) -[2026-06-02 23:29:44,196][544093] Updated weights for policy 0, policy_version 22848 (0.0005) -[2026-06-02 23:29:46,124][544093] Updated weights for policy 0, policy_version 22911 (0.0009) -[2026-06-02 23:29:47,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 16106.3). Total num frames: 11730944. Throughput: 0: 16543.3. Samples: 11726848. Policy #0 lag: (min: 5.0, avg: 11.0, max: 69.0) -[2026-06-02 23:29:47,358][543134] Avg episode reward: [(0, '5515.700')] -[2026-06-02 23:29:47,362][544021] Saving new best policy, reward=5515.700! -[2026-06-02 23:29:48,174][544093] Updated weights for policy 0, policy_version 22975 (0.0011) -[2026-06-02 23:29:50,126][544093] Updated weights for policy 0, policy_version 23040 (0.0010) -[2026-06-02 23:29:52,111][544093] Updated weights for policy 0, policy_version 23104 (0.0010) -[2026-06-02 23:29:52,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16520.5, 300 sec: 16217.4). Total num frames: 11829248. Throughput: 0: 16577.4. Samples: 11825664. Policy #0 lag: (min: 14.0, avg: 19.3, max: 78.0) -[2026-06-02 23:29:52,358][543134] Avg episode reward: [(0, '5514.450')] -[2026-06-02 23:29:55,774][544093] Updated weights for policy 0, policy_version 23184 (0.0010) -[2026-06-02 23:29:57,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16384.0, 300 sec: 16189.6). Total num frames: 11894784. Throughput: 0: 16543.3. Samples: 11920896. Policy #0 lag: (min: 14.0, avg: 19.3, max: 78.0) -[2026-06-02 23:29:57,358][543134] Avg episode reward: [(0, '5484.300')] -[2026-06-02 23:29:57,988][544093] Updated weights for policy 0, policy_version 23264 (0.0011) -[2026-06-02 23:30:00,092][544093] Updated weights for policy 0, policy_version 23332 (0.0009) -[2026-06-02 23:30:01,976][544093] Updated weights for policy 0, policy_version 23392 (0.0007) -[2026-06-02 23:30:02,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16520.5, 300 sec: 16217.4). Total num frames: 11993088. Throughput: 0: 16440.9. Samples: 11966976. Policy #0 lag: (min: 14.0, avg: 19.3, max: 78.0) -[2026-06-02 23:30:02,358][543134] Avg episode reward: [(0, '5539.100')] -[2026-06-02 23:30:02,362][544021] Saving new best policy, reward=5539.100! -[2026-06-02 23:30:04,083][544021] Signal inference workers to stop experience collection... (1100 times) -[2026-06-02 23:30:04,085][544093] Updated weights for policy 0, policy_version 23456 (0.0012) -[2026-06-02 23:30:04,113][544093] InferenceWorker_p0-w0: stopping experience collection (1100 times) -[2026-06-02 23:30:04,202][544021] Signal inference workers to resume experience collection... (1100 times) -[2026-06-02 23:30:04,203][544093] InferenceWorker_p0-w0: resuming experience collection (1100 times) -[2026-06-02 23:30:06,059][544093] Updated weights for policy 0, policy_version 23507 (0.0011) -[2026-06-02 23:30:07,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16384.0, 300 sec: 16217.4). Total num frames: 12058624. Throughput: 0: 16395.4. Samples: 12063232. Policy #0 lag: (min: 10.0, avg: 15.1, max: 74.0) -[2026-06-02 23:30:07,358][543134] Avg episode reward: [(0, '5486.500')] -[2026-06-02 23:30:07,984][544093] Updated weights for policy 0, policy_version 23568 (0.0010) -[2026-06-02 23:30:10,057][544093] Updated weights for policy 0, policy_version 23632 (0.0011) -[2026-06-02 23:30:12,057][544093] Updated weights for policy 0, policy_version 23698 (0.0008) -[2026-06-02 23:30:12,357][543134] Fps is (10 sec: 15564.8, 60 sec: 16520.5, 300 sec: 16189.6). Total num frames: 12148736. Throughput: 0: 16372.6. Samples: 12162048. Policy #0 lag: (min: 10.0, avg: 15.1, max: 74.0) -[2026-06-02 23:30:12,359][543134] Avg episode reward: [(0, '5495.300')] -[2026-06-02 23:30:14,051][544093] Updated weights for policy 0, policy_version 23776 (0.0010) -[2026-06-02 23:30:16,284][544093] Updated weights for policy 0, policy_version 23861 (0.0011) -[2026-06-02 23:30:17,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16384.0, 300 sec: 16217.4). Total num frames: 12222464. Throughput: 0: 16463.6. Samples: 12213248. Policy #0 lag: (min: 10.0, avg: 15.1, max: 74.0) -[2026-06-02 23:30:17,358][543134] Avg episode reward: [(0, '5647.650')] -[2026-06-02 23:30:17,363][544021] Saving new best policy, reward=5647.650! -[2026-06-02 23:30:18,258][544093] Updated weights for policy 0, policy_version 23927 (0.0011) -[2026-06-02 23:30:20,253][544093] Updated weights for policy 0, policy_version 23990 (0.0013) -[2026-06-02 23:30:22,247][544093] Updated weights for policy 0, policy_version 24064 (0.0010) -[2026-06-02 23:30:22,357][543134] Fps is (10 sec: 17203.2, 60 sec: 16657.1, 300 sec: 16300.7). Total num frames: 12320768. Throughput: 0: 16531.9. Samples: 12314112. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 23:30:22,358][543134] Avg episode reward: [(0, '5598.500')] -[2026-06-02 23:30:24,260][544093] Updated weights for policy 0, policy_version 24128 (0.0012) -[2026-06-02 23:30:27,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16384.0, 300 sec: 16217.4). Total num frames: 12386304. Throughput: 0: 16384.0. Samples: 12411904. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 23:30:27,358][543134] Avg episode reward: [(0, '5848.500')] -[2026-06-02 23:30:27,362][544021] Saving new best policy, reward=5848.500! -[2026-06-02 23:30:27,795][544093] Updated weights for policy 0, policy_version 24193 (0.0010) -[2026-06-02 23:30:28,276][544093] Updated weights for policy 0, policy_version 24253 (0.0008) -[2026-06-02 23:30:30,269][544093] Updated weights for policy 0, policy_version 24315 (0.0007) -[2026-06-02 23:30:32,269][544093] Updated weights for policy 0, policy_version 24384 (0.0010) -[2026-06-02 23:30:32,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16657.1, 300 sec: 16328.5). Total num frames: 12484608. Throughput: 0: 16247.5. Samples: 12457984. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 23:30:32,358][543134] Avg episode reward: [(0, '5924.100')] -[2026-06-02 23:30:32,361][544021] Saving new best policy, reward=5924.100! -[2026-06-02 23:30:36,098][544093] Updated weights for policy 0, policy_version 24464 (0.0011) -[2026-06-02 23:30:37,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 16217.4). Total num frames: 12550144. Throughput: 0: 16156.4. Samples: 12552704. Policy #0 lag: (min: 32.0, avg: 36.1, max: 96.0) -[2026-06-02 23:30:37,358][543134] Avg episode reward: [(0, '5987.250')] -[2026-06-02 23:30:37,362][544021] Saving new best policy, reward=5987.250! -[2026-06-02 23:30:38,137][544021] Signal inference workers to stop experience collection... (1150 times) -[2026-06-02 23:30:38,138][544093] Updated weights for policy 0, policy_version 24528 (0.0010) -[2026-06-02 23:30:38,166][544093] InferenceWorker_p0-w0: stopping experience collection (1150 times) -[2026-06-02 23:30:38,255][544021] Signal inference workers to resume experience collection... (1150 times) -[2026-06-02 23:30:38,256][544093] InferenceWorker_p0-w0: resuming experience collection (1150 times) -[2026-06-02 23:30:40,190][544093] Updated weights for policy 0, policy_version 24592 (0.0010) -[2026-06-02 23:30:42,270][544093] Updated weights for policy 0, policy_version 24672 (0.0011) -[2026-06-02 23:30:42,357][543134] Fps is (10 sec: 14745.6, 60 sec: 16110.9, 300 sec: 16272.9). Total num frames: 12632064. Throughput: 0: 16213.3. Samples: 12650496. Policy #0 lag: (min: 32.0, avg: 36.1, max: 96.0) -[2026-06-02 23:30:42,358][543134] Avg episode reward: [(0, '5898.950')] -[2026-06-02 23:30:44,322][544093] Updated weights for policy 0, policy_version 24736 (0.0011) -[2026-06-02 23:30:46,407][544093] Updated weights for policy 0, policy_version 24802 (0.0011) -[2026-06-02 23:30:47,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 16217.4). Total num frames: 12713984. Throughput: 0: 16270.2. Samples: 12699136. Policy #0 lag: (min: 32.0, avg: 36.1, max: 96.0) -[2026-06-02 23:30:47,358][543134] Avg episode reward: [(0, '5757.800')] -[2026-06-02 23:30:48,480][544093] Updated weights for policy 0, policy_version 24866 (0.0010) -[2026-06-02 23:30:50,483][544093] Updated weights for policy 0, policy_version 24930 (0.0011) -[2026-06-02 23:30:52,207][544093] Updated weights for policy 0, policy_version 24992 (0.0010) -[2026-06-02 23:30:52,357][543134] Fps is (10 sec: 17203.2, 60 sec: 16247.5, 300 sec: 16300.7). Total num frames: 12804096. Throughput: 0: 16361.3. Samples: 12799488. Policy #0 lag: (min: 32.0, avg: 36.1, max: 96.0) -[2026-06-02 23:30:52,358][543134] Avg episode reward: [(0, '5643.250')] -[2026-06-02 23:30:54,182][544093] Updated weights for policy 0, policy_version 25056 (0.0009) -[2026-06-02 23:30:56,371][544093] Updated weights for policy 0, policy_version 25136 (0.0010) -[2026-06-02 23:30:57,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 16245.2). Total num frames: 12877824. Throughput: 0: 16361.3. Samples: 12898304. Policy #0 lag: (min: 12.0, avg: 17.5, max: 76.0) -[2026-06-02 23:30:57,358][543134] Avg episode reward: [(0, '5552.650')] -[2026-06-02 23:30:58,477][544093] Updated weights for policy 0, policy_version 25207 (0.0009) -[2026-06-02 23:31:00,535][544093] Updated weights for policy 0, policy_version 25266 (0.0010) -[2026-06-02 23:31:02,357][543134] Fps is (10 sec: 14745.6, 60 sec: 15974.4, 300 sec: 16245.2). Total num frames: 12951552. Throughput: 0: 16270.2. Samples: 12945408. Policy #0 lag: (min: 12.0, avg: 17.5, max: 76.0) -[2026-06-02 23:31:02,358][543134] Avg episode reward: [(0, '5645.800')] -[2026-06-02 23:31:02,642][544093] Updated weights for policy 0, policy_version 25330 (0.0007) -[2026-06-02 23:31:04,647][544093] Updated weights for policy 0, policy_version 25396 (0.0005) -[2026-06-02 23:31:06,427][544093] Updated weights for policy 0, policy_version 25461 (0.0007) -[2026-06-02 23:31:07,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16384.0, 300 sec: 16328.5). Total num frames: 13041664. Throughput: 0: 16236.1. Samples: 13044736. Policy #0 lag: (min: 12.0, avg: 17.5, max: 76.0) -[2026-06-02 23:31:07,358][543134] Avg episode reward: [(0, '5807.200')] -[2026-06-02 23:31:08,520][544093] Updated weights for policy 0, policy_version 25527 (0.0011) -[2026-06-02 23:31:10,380][544093] Updated weights for policy 0, policy_version 25584 (0.0007) -[2026-06-02 23:31:11,997][544021] Signal inference workers to stop experience collection... (1200 times) -[2026-06-02 23:31:12,025][544093] InferenceWorker_p0-w0: stopping experience collection (1200 times) -[2026-06-02 23:31:12,109][544021] Signal inference workers to resume experience collection... (1200 times) -[2026-06-02 23:31:12,110][544093] InferenceWorker_p0-w0: resuming experience collection (1200 times) -[2026-06-02 23:31:12,321][544093] Updated weights for policy 0, policy_version 25648 (0.0007) -[2026-06-02 23:31:12,357][543134] Fps is (10 sec: 18022.5, 60 sec: 16384.0, 300 sec: 16300.7). Total num frames: 13131776. Throughput: 0: 16247.5. Samples: 13143040. Policy #0 lag: (min: 6.0, avg: 11.1, max: 70.0) -[2026-06-02 23:31:12,358][543134] Avg episode reward: [(0, '6065.450')] -[2026-06-02 23:31:12,463][544021] Saving new best policy, reward=6065.450! -[2026-06-02 23:31:14,398][544093] Updated weights for policy 0, policy_version 25712 (0.0008) -[2026-06-02 23:31:16,284][544093] Updated weights for policy 0, policy_version 25762 (0.0009) -[2026-06-02 23:31:17,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16384.0, 300 sec: 16328.5). Total num frames: 13205504. Throughput: 0: 16349.8. Samples: 13193728. Policy #0 lag: (min: 6.0, avg: 11.1, max: 70.0) -[2026-06-02 23:31:17,358][543134] Avg episode reward: [(0, '5995.850')] -[2026-06-02 23:31:18,392][544093] Updated weights for policy 0, policy_version 25840 (0.0010) -[2026-06-02 23:31:20,385][544093] Updated weights for policy 0, policy_version 25904 (0.0010) -[2026-06-02 23:31:22,357][543134] Fps is (10 sec: 15564.6, 60 sec: 16110.9, 300 sec: 16272.9). Total num frames: 13287424. Throughput: 0: 16395.3. Samples: 13290496. Policy #0 lag: (min: 6.0, avg: 11.1, max: 70.0) -[2026-06-02 23:31:22,358][543134] Avg episode reward: [(0, '6026.300')] -[2026-06-02 23:31:22,385][544093] Updated weights for policy 0, policy_version 25954 (0.0010) -[2026-06-02 23:31:24,440][544093] Updated weights for policy 0, policy_version 26018 (0.0009) -[2026-06-02 23:31:26,445][544093] Updated weights for policy 0, policy_version 26080 (0.0010) -[2026-06-02 23:31:27,357][543134] Fps is (10 sec: 16384.2, 60 sec: 16384.0, 300 sec: 16328.5). Total num frames: 13369344. Throughput: 0: 16361.2. Samples: 13386752. Policy #0 lag: (min: 6.0, avg: 11.1, max: 70.0) -[2026-06-02 23:31:27,358][543134] Avg episode reward: [(0, '5907.950')] -[2026-06-02 23:31:28,571][544093] Updated weights for policy 0, policy_version 26160 (0.0010) -[2026-06-02 23:31:30,730][544093] Updated weights for policy 0, policy_version 26228 (0.0010) -[2026-06-02 23:31:32,357][543134] Fps is (10 sec: 14745.6, 60 sec: 15837.8, 300 sec: 16300.7). Total num frames: 13434880. Throughput: 0: 16372.6. Samples: 13435904. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-02 23:31:32,358][543134] Avg episode reward: [(0, '5935.600')] -[2026-06-02 23:31:32,815][544093] Updated weights for policy 0, policy_version 26298 (0.0010) -[2026-06-02 23:31:34,843][544093] Updated weights for policy 0, policy_version 26360 (0.0010) -[2026-06-02 23:31:36,806][544093] Updated weights for policy 0, policy_version 26425 (0.0009) -[2026-06-02 23:31:37,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16384.0, 300 sec: 16328.5). Total num frames: 13533184. Throughput: 0: 16315.7. Samples: 13533696. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-02 23:31:37,358][543134] Avg episode reward: [(0, '5999.700')] -[2026-06-02 23:31:38,744][544093] Updated weights for policy 0, policy_version 26485 (0.0010) -[2026-06-02 23:31:40,679][544093] Updated weights for policy 0, policy_version 26551 (0.0010) -[2026-06-02 23:31:42,357][543134] Fps is (10 sec: 17203.1, 60 sec: 16247.4, 300 sec: 16328.5). Total num frames: 13606912. Throughput: 0: 16315.7. Samples: 13632512. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-02 23:31:42,360][543134] Avg episode reward: [(0, '5945.050')] -[2026-06-02 23:31:42,757][544093] Updated weights for policy 0, policy_version 26624 (0.0012) -[2026-06-02 23:31:44,648][544021] Signal inference workers to stop experience collection... (1250 times) -[2026-06-02 23:31:44,678][544093] InferenceWorker_p0-w0: stopping experience collection (1250 times) -[2026-06-02 23:31:44,779][544021] Signal inference workers to resume experience collection... (1250 times) -[2026-06-02 23:31:44,779][544093] InferenceWorker_p0-w0: resuming experience collection (1250 times) -[2026-06-02 23:31:44,927][544093] Updated weights for policy 0, policy_version 26686 (0.0010) -[2026-06-02 23:31:46,841][544093] Updated weights for policy 0, policy_version 26751 (0.0010) -[2026-06-02 23:31:47,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16384.0, 300 sec: 16328.5). Total num frames: 13697024. Throughput: 0: 16281.6. Samples: 13678080. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-02 23:31:47,358][543134] Avg episode reward: [(0, '6072.600')] -[2026-06-02 23:31:47,362][544021] Saving new best policy, reward=6072.600! -[2026-06-02 23:31:50,484][544093] Updated weights for policy 0, policy_version 26834 (0.0010) -[2026-06-02 23:31:52,357][543134] Fps is (10 sec: 15564.9, 60 sec: 15974.4, 300 sec: 16328.5). Total num frames: 13762560. Throughput: 0: 16304.4. Samples: 13778432. Policy #0 lag: (min: 1.0, avg: 7.1, max: 65.0) -[2026-06-02 23:31:52,358][543134] Avg episode reward: [(0, '6101.400')] -[2026-06-02 23:31:52,524][544021] Saving new best policy, reward=6101.400! -[2026-06-02 23:31:52,526][544093] Updated weights for policy 0, policy_version 26912 (0.0010) -[2026-06-02 23:31:54,520][544093] Updated weights for policy 0, policy_version 26992 (0.0010) -[2026-06-02 23:31:56,386][544093] Updated weights for policy 0, policy_version 27043 (0.0009) -[2026-06-02 23:31:57,357][543134] Fps is (10 sec: 16384.2, 60 sec: 16384.0, 300 sec: 16328.5). Total num frames: 13860864. Throughput: 0: 16384.0. Samples: 13880320. Policy #0 lag: (min: 1.0, avg: 7.1, max: 65.0) -[2026-06-02 23:31:57,358][543134] Avg episode reward: [(0, '6090.400')] -[2026-06-02 23:31:58,443][544093] Updated weights for policy 0, policy_version 27120 (0.0010) -[2026-06-02 23:32:00,467][544093] Updated weights for policy 0, policy_version 27192 (0.0010) -[2026-06-02 23:32:02,357][543134] Fps is (10 sec: 18022.4, 60 sec: 16520.5, 300 sec: 16384.0). Total num frames: 13942784. Throughput: 0: 16349.9. Samples: 13929472. Policy #0 lag: (min: 1.0, avg: 7.1, max: 65.0) -[2026-06-02 23:32:02,358][543134] Avg episode reward: [(0, '6180.000')] -[2026-06-02 23:32:02,526][544093] Updated weights for policy 0, policy_version 27259 (0.0010) -[2026-06-02 23:32:02,557][544021] Saving new best policy, reward=6180.000! -[2026-06-02 23:32:04,473][544093] Updated weights for policy 0, policy_version 27328 (0.0009) -[2026-06-02 23:32:07,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 16328.5). Total num frames: 14024704. Throughput: 0: 16384.0. Samples: 14027776. Policy #0 lag: (min: 18.0, avg: 23.0, max: 82.0) -[2026-06-02 23:32:07,358][543134] Avg episode reward: [(0, '6209.550')] -[2026-06-02 23:32:07,362][544021] Saving new best policy, reward=6209.550! -[2026-06-02 23:32:08,040][544093] Updated weights for policy 0, policy_version 27393 (0.0011) -[2026-06-02 23:32:08,501][544093] Updated weights for policy 0, policy_version 27456 (0.0010) -[2026-06-02 23:32:11,937][544093] Updated weights for policy 0, policy_version 27523 (0.0007) -[2026-06-02 23:32:12,357][543134] Fps is (10 sec: 17203.2, 60 sec: 16384.0, 300 sec: 16411.8). Total num frames: 14114816. Throughput: 0: 16486.4. Samples: 14128640. Policy #0 lag: (min: 18.0, avg: 23.0, max: 82.0) -[2026-06-02 23:32:12,358][543134] Avg episode reward: [(0, '6174.500')] -[2026-06-02 23:32:13,867][544093] Updated weights for policy 0, policy_version 27586 (0.0006) -[2026-06-02 23:32:15,935][544093] Updated weights for policy 0, policy_version 27664 (0.0007) -[2026-06-02 23:32:17,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16384.0, 300 sec: 16328.5). Total num frames: 14188544. Throughput: 0: 16566.0. Samples: 14181376. Policy #0 lag: (min: 18.0, avg: 23.0, max: 82.0) -[2026-06-02 23:32:17,358][543134] Avg episode reward: [(0, '6267.500')] -[2026-06-02 23:32:17,362][544021] Saving new best policy, reward=6267.500! -[2026-06-02 23:32:17,851][544021] Signal inference workers to stop experience collection... (1300 times) -[2026-06-02 23:32:17,852][544093] Updated weights for policy 0, policy_version 27728 (0.0009) -[2026-06-02 23:32:17,882][544093] InferenceWorker_p0-w0: stopping experience collection (1300 times) -[2026-06-02 23:32:17,961][544021] Signal inference workers to resume experience collection... (1300 times) -[2026-06-02 23:32:17,961][544093] InferenceWorker_p0-w0: resuming experience collection (1300 times) -[2026-06-02 23:32:19,755][544093] Updated weights for policy 0, policy_version 27778 (0.0010) -[2026-06-02 23:32:21,743][544093] Updated weights for policy 0, policy_version 27842 (0.0010) -[2026-06-02 23:32:22,200][544093] Updated weights for policy 0, policy_version 27903 (0.0009) -[2026-06-02 23:32:22,357][543134] Fps is (10 sec: 17203.2, 60 sec: 16657.1, 300 sec: 16439.5). Total num frames: 14286848. Throughput: 0: 16577.4. Samples: 14279680. Policy #0 lag: (min: 18.0, avg: 23.0, max: 82.0) -[2026-06-02 23:32:22,358][543134] Avg episode reward: [(0, '6163.150')] -[2026-06-02 23:32:24,101][544093] Updated weights for policy 0, policy_version 27967 (0.0009) -[2026-06-02 23:32:26,064][544093] Updated weights for policy 0, policy_version 28032 (0.0010) -[2026-06-02 23:32:27,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16384.0, 300 sec: 16328.5). Total num frames: 14352384. Throughput: 0: 16623.0. Samples: 14380544. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:32:27,358][543134] Avg episode reward: [(0, '6240.450')] -[2026-06-02 23:32:28,039][544093] Updated weights for policy 0, policy_version 28096 (0.0010) -[2026-06-02 23:32:30,010][544093] Updated weights for policy 0, policy_version 28157 (0.0010) -[2026-06-02 23:32:32,023][544093] Updated weights for policy 0, policy_version 28224 (0.0010) -[2026-06-02 23:32:32,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16930.1, 300 sec: 16439.5). Total num frames: 14450688. Throughput: 0: 16679.9. Samples: 14428672. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:32:32,358][543134] Avg episode reward: [(0, '6482.450')] -[2026-06-02 23:32:32,362][544021] Saving new best policy, reward=6482.450! -[2026-06-02 23:32:35,501][544093] Updated weights for policy 0, policy_version 28290 (0.0010) -[2026-06-02 23:32:37,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 16328.5). Total num frames: 14516224. Throughput: 0: 16668.5. Samples: 14528512. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:32:37,358][543134] Avg episode reward: [(0, '6224.100')] -[2026-06-02 23:32:37,500][544093] Updated weights for policy 0, policy_version 28355 (0.0010) -[2026-06-02 23:32:39,567][544093] Updated weights for policy 0, policy_version 28432 (0.0011) -[2026-06-02 23:32:41,545][544093] Updated weights for policy 0, policy_version 28496 (0.0011) -[2026-06-02 23:32:42,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16793.6, 300 sec: 16439.5). Total num frames: 14614528. Throughput: 0: 16588.8. Samples: 14626816. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:32:42,358][543134] Avg episode reward: [(0, '6494.900')] -[2026-06-02 23:32:42,362][544021] Saving new best policy, reward=6494.900! -[2026-06-02 23:32:43,680][544093] Updated weights for policy 0, policy_version 28576 (0.0011) -[2026-06-02 23:32:45,873][544093] Updated weights for policy 0, policy_version 28658 (0.0011) -[2026-06-02 23:32:47,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16384.0, 300 sec: 16328.5). Total num frames: 14680064. Throughput: 0: 16634.3. Samples: 14678016. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) -[2026-06-02 23:32:47,358][543134] Avg episode reward: [(0, '6660.550')] -[2026-06-02 23:32:47,361][544021] Saving new best policy, reward=6660.550! -[2026-06-02 23:32:47,750][544093] Updated weights for policy 0, policy_version 28720 (0.0011) -[2026-06-02 23:32:49,676][544093] Updated weights for policy 0, policy_version 28786 (0.0010) -[2026-06-02 23:32:51,285][544021] Signal inference workers to stop experience collection... (1350 times) -[2026-06-02 23:32:51,311][544093] InferenceWorker_p0-w0: stopping experience collection (1350 times) -[2026-06-02 23:32:51,415][544021] Signal inference workers to resume experience collection... (1350 times) -[2026-06-02 23:32:51,415][544093] InferenceWorker_p0-w0: resuming experience collection (1350 times) -[2026-06-02 23:32:51,654][544093] Updated weights for policy 0, policy_version 28848 (0.0011) -[2026-06-02 23:32:52,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16930.1, 300 sec: 16439.5). Total num frames: 14778368. Throughput: 0: 16702.6. Samples: 14779392. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) -[2026-06-02 23:32:52,358][543134] Avg episode reward: [(0, '6550.550')] -[2026-06-02 23:32:53,503][544093] Updated weights for policy 0, policy_version 28898 (0.0010) -[2026-06-02 23:32:55,502][544093] Updated weights for policy 0, policy_version 28960 (0.0010) -[2026-06-02 23:32:57,357][543134] Fps is (10 sec: 17203.2, 60 sec: 16520.6, 300 sec: 16467.3). Total num frames: 14852096. Throughput: 0: 16645.7. Samples: 14877696. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) -[2026-06-02 23:32:57,358][543134] Avg episode reward: [(0, '6771.750')] -[2026-06-02 23:32:57,380][544093] Updated weights for policy 0, policy_version 29010 (0.0010) -[2026-06-02 23:32:57,559][544021] Saving new best policy, reward=6771.750! -[2026-06-02 23:32:59,383][544093] Updated weights for policy 0, policy_version 29074 (0.0010) -[2026-06-02 23:33:01,376][544093] Updated weights for policy 0, policy_version 29138 (0.0009) -[2026-06-02 23:33:02,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16657.1, 300 sec: 16439.5). Total num frames: 14942208. Throughput: 0: 16543.3. Samples: 14925824. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) -[2026-06-02 23:33:02,358][543134] Avg episode reward: [(0, '6617.050')] -[2026-06-02 23:33:03,481][544093] Updated weights for policy 0, policy_version 29232 (0.0011) -[2026-06-02 23:33:05,494][544093] Updated weights for policy 0, policy_version 29282 (0.0008) -[2026-06-02 23:33:07,357][543134] Fps is (10 sec: 15564.8, 60 sec: 16384.0, 300 sec: 16439.5). Total num frames: 15007744. Throughput: 0: 16531.9. Samples: 15023616. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 23:33:07,358][543134] Avg episode reward: [(0, '6637.000')] -[2026-06-02 23:33:07,513][544093] Updated weights for policy 0, policy_version 29344 (0.0008) -[2026-06-02 23:33:09,682][544093] Updated weights for policy 0, policy_version 29424 (0.0010) -[2026-06-02 23:33:11,581][544093] Updated weights for policy 0, policy_version 29474 (0.0010) -[2026-06-02 23:33:12,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16520.5, 300 sec: 16439.5). Total num frames: 15106048. Throughput: 0: 16452.3. Samples: 15120896. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 23:33:12,358][543134] Avg episode reward: [(0, '6793.450')] -[2026-06-02 23:33:12,362][544021] Saving new best policy, reward=6793.450! -[2026-06-02 23:33:13,551][544093] Updated weights for policy 0, policy_version 29536 (0.0009) -[2026-06-02 23:33:15,701][544093] Updated weights for policy 0, policy_version 29616 (0.0011) -[2026-06-02 23:33:17,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 16411.8). Total num frames: 15171584. Throughput: 0: 16497.8. Samples: 15171072. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 23:33:17,358][543134] Avg episode reward: [(0, '6926.250')] -[2026-06-02 23:33:17,526][544021] Saving new best policy, reward=6926.250! -[2026-06-02 23:33:17,738][544093] Updated weights for policy 0, policy_version 29688 (0.0010) -[2026-06-02 23:33:19,793][544093] Updated weights for policy 0, policy_version 29754 (0.0010) -[2026-06-02 23:33:21,735][544093] Updated weights for policy 0, policy_version 29816 (0.0009) -[2026-06-02 23:33:22,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 16439.5). Total num frames: 15269888. Throughput: 0: 16497.8. Samples: 15270912. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 23:33:22,358][543134] Avg episode reward: [(0, '7018.750')] -[2026-06-02 23:33:22,362][544021] Saving new best policy, reward=7018.750! -[2026-06-02 23:33:23,669][544021] Signal inference workers to stop experience collection... (1400 times) -[2026-06-02 23:33:23,698][544093] InferenceWorker_p0-w0: stopping experience collection (1400 times) -[2026-06-02 23:33:23,792][544021] Signal inference workers to resume experience collection... (1400 times) -[2026-06-02 23:33:23,793][544093] InferenceWorker_p0-w0: resuming experience collection (1400 times) -[2026-06-02 23:33:23,884][544093] Updated weights for policy 0, policy_version 29880 (0.0010) -[2026-06-02 23:33:25,951][544093] Updated weights for policy 0, policy_version 29949 (0.0010) -[2026-06-02 23:33:27,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 16439.5). Total num frames: 15335424. Throughput: 0: 16406.8. Samples: 15365120. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 23:33:27,358][543134] Avg episode reward: [(0, '6907.400')] -[2026-06-02 23:33:28,007][544093] Updated weights for policy 0, policy_version 30012 (0.0009) -[2026-06-02 23:33:29,974][544093] Updated weights for policy 0, policy_version 30076 (0.0010) -[2026-06-02 23:33:32,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 16439.5). Total num frames: 15433728. Throughput: 0: 16315.7. Samples: 15412224. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 23:33:32,358][543134] Avg episode reward: [(0, '6775.150')] -[2026-06-02 23:33:33,671][544093] Updated weights for policy 0, policy_version 30160 (0.0011) -[2026-06-02 23:33:35,771][544093] Updated weights for policy 0, policy_version 30240 (0.0013) -[2026-06-02 23:33:37,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 16411.8). Total num frames: 15499264. Throughput: 0: 16236.1. Samples: 15510016. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 23:33:37,358][543134] Avg episode reward: [(0, '6719.300')] -[2026-06-02 23:33:37,774][544093] Updated weights for policy 0, policy_version 30304 (0.0015) -[2026-06-02 23:33:39,667][544093] Updated weights for policy 0, policy_version 30354 (0.0013) -[2026-06-02 23:33:41,458][544093] Updated weights for policy 0, policy_version 30402 (0.0014) -[2026-06-02 23:33:42,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16384.0, 300 sec: 16439.5). Total num frames: 15597568. Throughput: 0: 16293.0. Samples: 15610880. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 23:33:42,358][543134] Avg episode reward: [(0, '6876.250')] -[2026-06-02 23:33:43,390][544093] Updated weights for policy 0, policy_version 30466 (0.0014) -[2026-06-02 23:33:45,499][544093] Updated weights for policy 0, policy_version 30544 (0.0014) -[2026-06-02 23:33:47,314][544093] Updated weights for policy 0, policy_version 30594 (0.0013) -[2026-06-02 23:33:47,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 16356.2). Total num frames: 15663104. Throughput: 0: 16372.6. Samples: 15662592. Policy #0 lag: (min: 5.0, avg: 10.0, max: 69.0) -[2026-06-02 23:33:47,358][543134] Avg episode reward: [(0, '7033.350')] -[2026-06-02 23:33:47,513][544021] Saving new best policy, reward=7033.350! -[2026-06-02 23:33:49,579][544093] Updated weights for policy 0, policy_version 30675 (0.0010) -[2026-06-02 23:33:51,606][544093] Updated weights for policy 0, policy_version 30738 (0.0009) -[2026-06-02 23:33:52,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 16439.5). Total num frames: 15761408. Throughput: 0: 16338.5. Samples: 15758848. Policy #0 lag: (min: 5.0, avg: 10.0, max: 69.0) -[2026-06-02 23:33:52,358][543134] Avg episode reward: [(0, '7032.000')] -[2026-06-02 23:33:53,483][544093] Updated weights for policy 0, policy_version 30800 (0.0009) -[2026-06-02 23:33:55,384][544093] Updated weights for policy 0, policy_version 30864 (0.0009) -[2026-06-02 23:33:57,225][544093] Updated weights for policy 0, policy_version 30914 (0.0009) -[2026-06-02 23:33:57,307][544021] Signal inference workers to stop experience collection... (1450 times) -[2026-06-02 23:33:57,337][544093] InferenceWorker_p0-w0: stopping experience collection (1450 times) -[2026-06-02 23:33:57,357][543134] Fps is (10 sec: 17203.2, 60 sec: 16384.0, 300 sec: 16384.0). Total num frames: 15835136. Throughput: 0: 15314.5. Samples: 15810048. Policy #0 lag: (min: 5.0, avg: 10.0, max: 69.0) -[2026-06-02 23:33:57,358][543134] Avg episode reward: [(0, '7053.450')] -[2026-06-02 23:33:57,411][544021] Signal inference workers to resume experience collection... (1450 times) -[2026-06-02 23:33:57,412][544093] InferenceWorker_p0-w0: resuming experience collection (1450 times) -[2026-06-02 23:33:57,530][544021] Saving new best policy, reward=7053.450! -[2026-06-02 23:33:59,299][544093] Updated weights for policy 0, policy_version 30992 (0.0010) -[2026-06-02 23:34:01,405][544093] Updated weights for policy 0, policy_version 31074 (0.0010) -[2026-06-02 23:34:02,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 16439.5). Total num frames: 15925248. Throughput: 0: 16440.9. Samples: 15910912. Policy #0 lag: (min: 5.0, avg: 10.0, max: 69.0) -[2026-06-02 23:34:02,358][543134] Avg episode reward: [(0, '7088.050')] -[2026-06-02 23:34:02,364][544021] Saving new best policy, reward=7088.050! -[2026-06-02 23:34:03,220][544093] Updated weights for policy 0, policy_version 31122 (0.0010) -[2026-06-02 23:34:05,196][544093] Updated weights for policy 0, policy_version 31187 (0.0009) -[2026-06-02 23:34:07,117][544093] Updated weights for policy 0, policy_version 31264 (0.0011) -[2026-06-02 23:34:07,357][543134] Fps is (10 sec: 18022.4, 60 sec: 16793.6, 300 sec: 16467.3). Total num frames: 16015360. Throughput: 0: 16463.6. Samples: 16011776. Policy #0 lag: (min: 5.0, avg: 11.8, max: 69.0) -[2026-06-02 23:34:07,358][543134] Avg episode reward: [(0, '7113.450')] -[2026-06-02 23:34:07,402][544021] Saving new best policy, reward=7113.450! -[2026-06-02 23:34:09,215][544093] Updated weights for policy 0, policy_version 31331 (0.0011) -[2026-06-02 23:34:11,098][544093] Updated weights for policy 0, policy_version 31392 (0.0011) -[2026-06-02 23:34:12,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 16439.5). Total num frames: 16089088. Throughput: 0: 16566.0. Samples: 16110592. Policy #0 lag: (min: 5.0, avg: 11.8, max: 69.0) -[2026-06-02 23:34:12,358][543134] Avg episode reward: [(0, '7122.300')] -[2026-06-02 23:34:12,362][544021] Saving new best policy, reward=7122.300! -[2026-06-02 23:34:13,085][544093] Updated weights for policy 0, policy_version 31442 (0.0010) -[2026-06-02 23:34:15,248][544093] Updated weights for policy 0, policy_version 31522 (0.0012) -[2026-06-02 23:34:17,239][544093] Updated weights for policy 0, policy_version 31600 (0.0011) -[2026-06-02 23:34:17,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16793.6, 300 sec: 16467.3). Total num frames: 16179200. Throughput: 0: 16554.6. Samples: 16157184. Policy #0 lag: (min: 5.0, avg: 11.8, max: 69.0) -[2026-06-02 23:34:17,358][543134] Avg episode reward: [(0, '7111.250')] -[2026-06-02 23:34:19,278][544093] Updated weights for policy 0, policy_version 31666 (0.0010) -[2026-06-02 23:34:21,122][544093] Updated weights for policy 0, policy_version 31735 (0.0010) -[2026-06-02 23:34:22,357][543134] Fps is (10 sec: 16383.7, 60 sec: 16384.0, 300 sec: 16439.5). Total num frames: 16252928. Throughput: 0: 16668.4. Samples: 16260096. Policy #0 lag: (min: 5.0, avg: 11.8, max: 69.0) -[2026-06-02 23:34:22,360][543134] Avg episode reward: [(0, '7124.400')] -[2026-06-02 23:34:22,364][544021] Saving new best policy, reward=7124.400! -[2026-06-02 23:34:23,070][544093] Updated weights for policy 0, policy_version 31800 (0.0007) -[2026-06-02 23:34:24,835][544093] Updated weights for policy 0, policy_version 31856 (0.0006) -[2026-06-02 23:34:26,778][544093] Updated weights for policy 0, policy_version 31924 (0.0010) -[2026-06-02 23:34:27,357][543134] Fps is (10 sec: 17203.4, 60 sec: 16930.1, 300 sec: 16495.1). Total num frames: 16351232. Throughput: 0: 16782.2. Samples: 16366080. Policy #0 lag: (min: 5.0, avg: 11.8, max: 69.0) -[2026-06-02 23:34:27,358][543134] Avg episode reward: [(0, '7068.850')] -[2026-06-02 23:34:28,714][544093] Updated weights for policy 0, policy_version 31996 (0.0011) -[2026-06-02 23:34:30,267][544021] Signal inference workers to stop experience collection... (1500 times) -[2026-06-02 23:34:30,319][544093] InferenceWorker_p0-w0: stopping experience collection (1500 times) -[2026-06-02 23:34:30,417][544021] Signal inference workers to resume experience collection... (1500 times) -[2026-06-02 23:34:30,418][544093] InferenceWorker_p0-w0: resuming experience collection (1500 times) -[2026-06-02 23:34:30,719][544093] Updated weights for policy 0, policy_version 32052 (0.0011) -[2026-06-02 23:34:32,357][543134] Fps is (10 sec: 16384.2, 60 sec: 16384.0, 300 sec: 16439.5). Total num frames: 16416768. Throughput: 0: 16793.6. Samples: 16418304. Policy #0 lag: (min: 9.0, avg: 15.5, max: 73.0) -[2026-06-02 23:34:32,358][543134] Avg episode reward: [(0, '7138.850')] -[2026-06-02 23:34:32,480][544021] Saving new best policy, reward=7138.850! -[2026-06-02 23:34:32,675][544093] Updated weights for policy 0, policy_version 32118 (0.0011) -[2026-06-02 23:34:34,710][544093] Updated weights for policy 0, policy_version 32181 (0.0010) -[2026-06-02 23:34:36,590][544093] Updated weights for policy 0, policy_version 32241 (0.0009) -[2026-06-02 23:34:37,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16930.1, 300 sec: 16439.5). Total num frames: 16515072. Throughput: 0: 16827.7. Samples: 16516096. Policy #0 lag: (min: 9.0, avg: 15.5, max: 73.0) -[2026-06-02 23:34:37,358][543134] Avg episode reward: [(0, '7113.350')] -[2026-06-02 23:34:38,563][544093] Updated weights for policy 0, policy_version 32307 (0.0010) -[2026-06-02 23:34:40,612][544093] Updated weights for policy 0, policy_version 32372 (0.0010) -[2026-06-02 23:34:42,357][543134] Fps is (10 sec: 17203.3, 60 sec: 16520.5, 300 sec: 16467.3). Total num frames: 16588800. Throughput: 0: 17897.2. Samples: 16615424. Policy #0 lag: (min: 9.0, avg: 15.5, max: 73.0) -[2026-06-02 23:34:42,358][543134] Avg episode reward: [(0, '7138.000')] -[2026-06-02 23:34:42,540][544093] Updated weights for policy 0, policy_version 32436 (0.0009) -[2026-06-02 23:34:44,422][544093] Updated weights for policy 0, policy_version 32498 (0.0012) -[2026-06-02 23:34:46,474][544093] Updated weights for policy 0, policy_version 32567 (0.0010) -[2026-06-02 23:34:47,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16930.1, 300 sec: 16439.5). Total num frames: 16678912. Throughput: 0: 16793.6. Samples: 16666624. Policy #0 lag: (min: 9.0, avg: 15.5, max: 73.0) -[2026-06-02 23:34:47,358][543134] Avg episode reward: [(0, '7011.900')] -[2026-06-02 23:34:48,533][544093] Updated weights for policy 0, policy_version 32633 (0.0010) -[2026-06-02 23:34:50,598][544093] Updated weights for policy 0, policy_version 32694 (0.0009) -[2026-06-02 23:34:52,357][543134] Fps is (10 sec: 17203.2, 60 sec: 16657.1, 300 sec: 16495.1). Total num frames: 16760832. Throughput: 0: 16702.6. Samples: 16763392. Policy #0 lag: (min: 6.0, avg: 11.0, max: 70.0) -[2026-06-02 23:34:52,361][543134] Avg episode reward: [(0, '6976.650')] -[2026-06-02 23:34:52,423][544093] Updated weights for policy 0, policy_version 32752 (0.0012) -[2026-06-02 23:34:54,454][544093] Updated weights for policy 0, policy_version 32816 (0.0010) -[2026-06-02 23:34:56,598][544093] Updated weights for policy 0, policy_version 32887 (0.0011) -[2026-06-02 23:34:57,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16793.6, 300 sec: 16439.5). Total num frames: 16842752. Throughput: 0: 16668.5. Samples: 16860672. Policy #0 lag: (min: 6.0, avg: 11.0, max: 70.0) -[2026-06-02 23:34:57,358][543134] Avg episode reward: [(0, '7126.450')] -[2026-06-02 23:34:58,582][544093] Updated weights for policy 0, policy_version 32958 (0.0010) -[2026-06-02 23:35:00,578][544093] Updated weights for policy 0, policy_version 33024 (0.0010) -[2026-06-02 23:35:02,287][544021] Signal inference workers to stop experience collection... (1550 times) -[2026-06-02 23:35:02,316][544093] InferenceWorker_p0-w0: stopping experience collection (1550 times) -[2026-06-02 23:35:02,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16657.1, 300 sec: 16495.1). Total num frames: 16924672. Throughput: 0: 16748.1. Samples: 16910848. Policy #0 lag: (min: 6.0, avg: 11.0, max: 70.0) -[2026-06-02 23:35:02,358][543134] Avg episode reward: [(0, '7180.450')] -[2026-06-02 23:35:02,394][544021] Signal inference workers to resume experience collection... (1550 times) -[2026-06-02 23:35:02,395][544093] InferenceWorker_p0-w0: resuming experience collection (1550 times) -[2026-06-02 23:35:02,550][544021] Saving new best policy, reward=7180.450! -[2026-06-02 23:35:04,229][544093] Updated weights for policy 0, policy_version 33120 (0.0010) -[2026-06-02 23:35:06,351][544093] Updated weights for policy 0, policy_version 33200 (0.0010) -[2026-06-02 23:35:07,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16520.5, 300 sec: 16467.3). Total num frames: 17006592. Throughput: 0: 16657.1. Samples: 17009664. Policy #0 lag: (min: 6.0, avg: 11.0, max: 70.0) -[2026-06-02 23:35:07,358][543134] Avg episode reward: [(0, '7246.250')] -[2026-06-02 23:35:07,361][544021] Saving new best policy, reward=7246.250! -[2026-06-02 23:35:08,411][544093] Updated weights for policy 0, policy_version 33268 (0.0010) -[2026-06-02 23:35:10,360][544093] Updated weights for policy 0, policy_version 33332 (0.0010) -[2026-06-02 23:35:12,287][544093] Updated weights for policy 0, policy_version 33397 (0.0010) -[2026-06-02 23:35:12,357][543134] Fps is (10 sec: 17203.2, 60 sec: 16793.6, 300 sec: 16522.9). Total num frames: 17096704. Throughput: 0: 16497.8. Samples: 17108480. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 23:35:12,358][543134] Avg episode reward: [(0, '7342.650')] -[2026-06-02 23:35:12,372][544021] Saving new best policy, reward=7342.650! -[2026-06-02 23:35:14,380][544093] Updated weights for policy 0, policy_version 33463 (0.0010) -[2026-06-02 23:35:16,335][544093] Updated weights for policy 0, policy_version 33527 (0.0010) -[2026-06-02 23:35:17,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16520.5, 300 sec: 16439.5). Total num frames: 17170432. Throughput: 0: 16475.0. Samples: 17159680. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 23:35:17,358][543134] Avg episode reward: [(0, '7309.450')] -[2026-06-02 23:35:18,295][544093] Updated weights for policy 0, policy_version 33591 (0.0010) -[2026-06-02 23:35:20,358][544093] Updated weights for policy 0, policy_version 33659 (0.0010) -[2026-06-02 23:35:22,340][544093] Updated weights for policy 0, policy_version 33726 (0.0010) -[2026-06-02 23:35:22,357][543134] Fps is (10 sec: 17203.2, 60 sec: 16930.2, 300 sec: 16550.6). Total num frames: 17268736. Throughput: 0: 16509.2. Samples: 17259008. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 23:35:22,358][543134] Avg episode reward: [(0, '7473.250')] -[2026-06-02 23:35:22,362][544021] Saving new best policy, reward=7473.250! -[2026-06-02 23:35:24,403][544093] Updated weights for policy 0, policy_version 33790 (0.0010) -[2026-06-02 23:35:26,375][544093] Updated weights for policy 0, policy_version 33854 (0.0011) -[2026-06-02 23:35:27,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16384.0, 300 sec: 16439.5). Total num frames: 17334272. Throughput: 0: 16509.2. Samples: 17358336. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 23:35:27,358][543134] Avg episode reward: [(0, '7616.000')] -[2026-06-02 23:35:27,361][544021] Saving new best policy, reward=7616.000! -[2026-06-02 23:35:28,251][544093] Updated weights for policy 0, policy_version 33919 (0.0011) -[2026-06-02 23:35:30,025][544093] Updated weights for policy 0, policy_version 33978 (0.0011) -[2026-06-02 23:35:32,048][544093] Updated weights for policy 0, policy_version 34048 (0.0010) -[2026-06-02 23:35:32,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16930.1, 300 sec: 16550.6). Total num frames: 17432576. Throughput: 0: 16520.5. Samples: 17410048. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 23:35:32,358][543134] Avg episode reward: [(0, '7621.150')] -[2026-06-02 23:35:32,362][544021] Saving new best policy, reward=7621.150! -[2026-06-02 23:35:35,559][544021] Signal inference workers to stop experience collection... (1600 times) -[2026-06-02 23:35:35,559][544093] Updated weights for policy 0, policy_version 34128 (0.0010) -[2026-06-02 23:35:35,588][544093] InferenceWorker_p0-w0: stopping experience collection (1600 times) -[2026-06-02 23:35:35,664][544021] Signal inference workers to resume experience collection... (1600 times) -[2026-06-02 23:35:35,665][544093] InferenceWorker_p0-w0: resuming experience collection (1600 times) -[2026-06-02 23:35:37,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 16495.1). Total num frames: 17498112. Throughput: 0: 16588.8. Samples: 17509888. Policy #0 lag: (min: 47.0, avg: 51.5, max: 111.0) -[2026-06-02 23:35:37,358][543134] Avg episode reward: [(0, '7723.150')] -[2026-06-02 23:35:37,361][544021] Saving new best policy, reward=7723.150! -[2026-06-02 23:35:37,586][544093] Updated weights for policy 0, policy_version 34192 (0.0010) -[2026-06-02 23:35:39,457][544093] Updated weights for policy 0, policy_version 34242 (0.0005) -[2026-06-02 23:35:41,583][544093] Updated weights for policy 0, policy_version 34320 (0.0010) -[2026-06-02 23:35:42,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16793.6, 300 sec: 16550.6). Total num frames: 17596416. Throughput: 0: 16622.9. Samples: 17608704. Policy #0 lag: (min: 47.0, avg: 51.5, max: 111.0) -[2026-06-02 23:35:42,358][543134] Avg episode reward: [(0, '7563.650')] -[2026-06-02 23:35:43,585][544093] Updated weights for policy 0, policy_version 34370 (0.0009) -[2026-06-02 23:35:45,494][544093] Updated weights for policy 0, policy_version 34434 (0.0010) -[2026-06-02 23:35:47,357][543134] Fps is (10 sec: 16384.2, 60 sec: 16384.0, 300 sec: 16467.3). Total num frames: 17661952. Throughput: 0: 16623.0. Samples: 17658880. Policy #0 lag: (min: 47.0, avg: 51.5, max: 111.0) -[2026-06-02 23:35:47,358][543134] Avg episode reward: [(0, '7570.350')] -[2026-06-02 23:35:47,456][544093] Updated weights for policy 0, policy_version 34498 (0.0007) -[2026-06-02 23:35:49,297][544093] Updated weights for policy 0, policy_version 34576 (0.0005) -[2026-06-02 23:35:51,280][544093] Updated weights for policy 0, policy_version 34656 (0.0006) -[2026-06-02 23:35:52,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16657.1, 300 sec: 16550.6). Total num frames: 17760256. Throughput: 0: 16759.4. Samples: 17763840. Policy #0 lag: (min: 47.0, avg: 51.5, max: 111.0) -[2026-06-02 23:35:52,358][543134] Avg episode reward: [(0, '7566.550')] -[2026-06-02 23:35:53,140][544093] Updated weights for policy 0, policy_version 34720 (0.0009) -[2026-06-02 23:35:55,100][544093] Updated weights for policy 0, policy_version 34800 (0.0009) -[2026-06-02 23:35:57,112][544093] Updated weights for policy 0, policy_version 34866 (0.0010) -[2026-06-02 23:35:57,357][543134] Fps is (10 sec: 19660.6, 60 sec: 16930.1, 300 sec: 16633.9). Total num frames: 17858560. Throughput: 0: 16827.7. Samples: 17865728. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-02 23:35:57,358][543134] Avg episode reward: [(0, '7477.500')] -[2026-06-02 23:35:59,055][544093] Updated weights for policy 0, policy_version 34930 (0.0010) -[2026-06-02 23:36:00,921][544093] Updated weights for policy 0, policy_version 34992 (0.0010) -[2026-06-02 23:36:02,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16657.1, 300 sec: 16550.6). Total num frames: 17924096. Throughput: 0: 16884.6. Samples: 17919488. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-02 23:36:02,358][543134] Avg episode reward: [(0, '7508.350')] -[2026-06-02 23:36:02,997][544093] Updated weights for policy 0, policy_version 35056 (0.0011) -[2026-06-02 23:36:04,793][544093] Updated weights for policy 0, policy_version 35106 (0.0010) -[2026-06-02 23:36:06,790][544093] Updated weights for policy 0, policy_version 35171 (0.0010) -[2026-06-02 23:36:07,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16930.1, 300 sec: 16578.4). Total num frames: 18022400. Throughput: 0: 16918.8. Samples: 18020352. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-02 23:36:07,358][543134] Avg episode reward: [(0, '7468.350')] -[2026-06-02 23:36:08,603][544021] Signal inference workers to stop experience collection... (1650 times) -[2026-06-02 23:36:08,656][544093] InferenceWorker_p0-w0: stopping experience collection (1650 times) -[2026-06-02 23:36:08,736][544021] Signal inference workers to resume experience collection... (1650 times) -[2026-06-02 23:36:08,737][544093] InferenceWorker_p0-w0: resuming experience collection (1650 times) -[2026-06-02 23:36:08,963][544093] Updated weights for policy 0, policy_version 35248 (0.0010) -[2026-06-02 23:36:11,023][544093] Updated weights for policy 0, policy_version 35316 (0.0008) -[2026-06-02 23:36:12,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16520.5, 300 sec: 16550.6). Total num frames: 18087936. Throughput: 0: 16896.0. Samples: 18118656. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-02 23:36:12,358][543134] Avg episode reward: [(0, '7503.350')] -[2026-06-02 23:36:12,876][544093] Updated weights for policy 0, policy_version 35381 (0.0008) -[2026-06-02 23:36:14,749][544093] Updated weights for policy 0, policy_version 35442 (0.0009) -[2026-06-02 23:36:16,682][544093] Updated weights for policy 0, policy_version 35507 (0.0009) -[2026-06-02 23:36:17,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16930.2, 300 sec: 16606.2). Total num frames: 18186240. Throughput: 0: 16896.0. Samples: 18170368. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-02 23:36:17,358][543134] Avg episode reward: [(0, '7414.450')] -[2026-06-02 23:36:18,653][544093] Updated weights for policy 0, policy_version 35581 (0.0010) -[2026-06-02 23:36:20,649][544093] Updated weights for policy 0, policy_version 35646 (0.0009) -[2026-06-02 23:36:22,357][543134] Fps is (10 sec: 17203.1, 60 sec: 16520.5, 300 sec: 16578.4). Total num frames: 18259968. Throughput: 0: 16907.4. Samples: 18270720. Policy #0 lag: (min: 11.0, avg: 16.1, max: 75.0) -[2026-06-02 23:36:22,358][543134] Avg episode reward: [(0, '7693.850')] -[2026-06-02 23:36:22,648][544093] Updated weights for policy 0, policy_version 35708 (0.0008) -[2026-06-02 23:36:24,616][544093] Updated weights for policy 0, policy_version 35776 (0.0008) -[2026-06-02 23:36:26,629][544093] Updated weights for policy 0, policy_version 35840 (0.0009) -[2026-06-02 23:36:27,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16930.1, 300 sec: 16661.7). Total num frames: 18350080. Throughput: 0: 16930.1. Samples: 18370560. Policy #0 lag: (min: 11.0, avg: 16.1, max: 75.0) -[2026-06-02 23:36:27,358][543134] Avg episode reward: [(0, '7760.850')] -[2026-06-02 23:36:27,362][544021] Saving new best policy, reward=7760.850! -[2026-06-02 23:36:28,485][544093] Updated weights for policy 0, policy_version 35900 (0.0009) -[2026-06-02 23:36:30,363][544093] Updated weights for policy 0, policy_version 35968 (0.0009) -[2026-06-02 23:36:32,357][543134] Fps is (10 sec: 18022.2, 60 sec: 16793.6, 300 sec: 16633.9). Total num frames: 18440192. Throughput: 0: 16941.4. Samples: 18421248. Policy #0 lag: (min: 11.0, avg: 16.1, max: 75.0) -[2026-06-02 23:36:32,358][543134] Avg episode reward: [(0, '7836.150')] -[2026-06-02 23:36:32,362][544021] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride5_seed14/checkpoint_p0/checkpoint_000036032_18448384.pth... -[2026-06-02 23:36:32,378][544021] Saving new best policy, reward=7836.150! -[2026-06-02 23:36:33,874][544093] Updated weights for policy 0, policy_version 36048 (0.0010) -[2026-06-02 23:36:35,880][544093] Updated weights for policy 0, policy_version 36112 (0.0010) -[2026-06-02 23:36:37,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16930.1, 300 sec: 16633.9). Total num frames: 18513920. Throughput: 0: 16816.4. Samples: 18520576. Policy #0 lag: (min: 11.0, avg: 16.1, max: 75.0) -[2026-06-02 23:36:37,358][543134] Avg episode reward: [(0, '7742.850')] -[2026-06-02 23:36:38,046][544093] Updated weights for policy 0, policy_version 36208 (0.0010) -[2026-06-02 23:36:39,870][544021] Signal inference workers to stop experience collection... (1700 times) -[2026-06-02 23:36:39,898][544093] InferenceWorker_p0-w0: stopping experience collection (1700 times) -[2026-06-02 23:36:39,919][544093] Updated weights for policy 0, policy_version 36259 (0.0009) -[2026-06-02 23:36:39,998][544021] Signal inference workers to resume experience collection... (1700 times) -[2026-06-02 23:36:39,999][544093] InferenceWorker_p0-w0: resuming experience collection (1700 times) -[2026-06-02 23:36:41,937][544093] Updated weights for policy 0, policy_version 36336 (0.0010) -[2026-06-02 23:36:42,357][543134] Fps is (10 sec: 17203.3, 60 sec: 16930.1, 300 sec: 16661.7). Total num frames: 18612224. Throughput: 0: 16804.9. Samples: 18621952. Policy #0 lag: (min: 11.0, avg: 16.1, max: 75.0) -[2026-06-02 23:36:42,358][543134] Avg episode reward: [(0, '7909.900')] -[2026-06-02 23:36:42,362][544021] Saving new best policy, reward=7909.900! -[2026-06-02 23:36:43,877][544093] Updated weights for policy 0, policy_version 36400 (0.0010) -[2026-06-02 23:36:45,788][544093] Updated weights for policy 0, policy_version 36464 (0.0010) -[2026-06-02 23:36:47,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16930.1, 300 sec: 16661.7). Total num frames: 18677760. Throughput: 0: 16816.4. Samples: 18676224. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) -[2026-06-02 23:36:47,358][543134] Avg episode reward: [(0, '7947.150')] -[2026-06-02 23:36:47,541][544021] Saving new best policy, reward=7947.150! -[2026-06-02 23:36:47,669][544093] Updated weights for policy 0, policy_version 36529 (0.0010) -[2026-06-02 23:36:49,765][544093] Updated weights for policy 0, policy_version 36597 (0.0012) -[2026-06-02 23:36:51,682][544093] Updated weights for policy 0, policy_version 36656 (0.0009) -[2026-06-02 23:36:52,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16930.1, 300 sec: 16661.7). Total num frames: 18776064. Throughput: 0: 16804.9. Samples: 18776576. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) -[2026-06-02 23:36:52,359][543134] Avg episode reward: [(0, '8126.150')] -[2026-06-02 23:36:52,362][544021] Saving new best policy, reward=8126.150! -[2026-06-02 23:36:53,501][544093] Updated weights for policy 0, policy_version 36707 (0.0009) -[2026-06-02 23:36:55,599][544093] Updated weights for policy 0, policy_version 36784 (0.0007) -[2026-06-02 23:36:57,258][544093] Updated weights for policy 0, policy_version 36818 (0.0006) -[2026-06-02 23:36:57,357][543134] Fps is (10 sec: 18022.5, 60 sec: 16657.1, 300 sec: 16661.7). Total num frames: 18857984. Throughput: 0: 16861.9. Samples: 18877440. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) -[2026-06-02 23:36:57,358][543134] Avg episode reward: [(0, '8086.150')] -[2026-06-02 23:36:57,631][544093] Updated weights for policy 0, policy_version 36864 (0.0006) -[2026-06-02 23:36:59,386][544093] Updated weights for policy 0, policy_version 36926 (0.0010) -[2026-06-02 23:37:02,357][543134] Fps is (10 sec: 16383.7, 60 sec: 16930.0, 300 sec: 16661.7). Total num frames: 18939904. Throughput: 0: 16907.3. Samples: 18931200. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) -[2026-06-02 23:37:02,359][543134] Avg episode reward: [(0, '8219.550')] -[2026-06-02 23:37:02,364][544021] Saving new best policy, reward=8219.550! -[2026-06-02 23:37:02,641][544093] Updated weights for policy 0, policy_version 36993 (0.0010) -[2026-06-02 23:37:04,824][544093] Updated weights for policy 0, policy_version 37088 (0.0010) -[2026-06-02 23:37:06,801][544093] Updated weights for policy 0, policy_version 37138 (0.0011) -[2026-06-02 23:37:07,357][543134] Fps is (10 sec: 18022.3, 60 sec: 16930.1, 300 sec: 16689.5). Total num frames: 19038208. Throughput: 0: 16952.9. Samples: 19033600. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) -[2026-06-02 23:37:07,358][543134] Avg episode reward: [(0, '8148.000')] -[2026-06-02 23:37:08,837][544093] Updated weights for policy 0, policy_version 37216 (0.0011) -[2026-06-02 23:37:10,761][544093] Updated weights for policy 0, policy_version 37280 (0.0010) -[2026-06-02 23:37:12,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16930.0, 300 sec: 16661.7). Total num frames: 19103744. Throughput: 0: 16975.5. Samples: 19134464. Policy #0 lag: (min: 14.0, avg: 19.1, max: 78.0) -[2026-06-02 23:37:12,359][543134] Avg episode reward: [(0, '8277.850')] -[2026-06-02 23:37:12,363][544021] Saving new best policy, reward=8277.850! -[2026-06-02 23:37:12,597][544021] Signal inference workers to stop experience collection... (1750 times) -[2026-06-02 23:37:12,627][544093] InferenceWorker_p0-w0: stopping experience collection (1750 times) -[2026-06-02 23:37:12,716][544021] Signal inference workers to resume experience collection... (1750 times) -[2026-06-02 23:37:12,716][544093] InferenceWorker_p0-w0: resuming experience collection (1750 times) -[2026-06-02 23:37:12,718][544093] Updated weights for policy 0, policy_version 37344 (0.0010) -[2026-06-02 23:37:14,729][544093] Updated weights for policy 0, policy_version 37408 (0.0011) -[2026-06-02 23:37:16,677][544093] Updated weights for policy 0, policy_version 37458 (0.0011) -[2026-06-02 23:37:17,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16930.1, 300 sec: 16661.7). Total num frames: 19202048. Throughput: 0: 16896.0. Samples: 19181568. Policy #0 lag: (min: 14.0, avg: 19.1, max: 78.0) -[2026-06-02 23:37:17,358][543134] Avg episode reward: [(0, '8383.750')] -[2026-06-02 23:37:17,362][544021] Saving new best policy, reward=8383.750! -[2026-06-02 23:37:18,610][544093] Updated weights for policy 0, policy_version 37520 (0.0011) -[2026-06-02 23:37:20,524][544093] Updated weights for policy 0, policy_version 37584 (0.0010) -[2026-06-02 23:37:22,273][544093] Updated weights for policy 0, policy_version 37634 (0.0011) -[2026-06-02 23:37:22,357][543134] Fps is (10 sec: 17203.6, 60 sec: 16930.1, 300 sec: 16689.5). Total num frames: 19275776. Throughput: 0: 16930.1. Samples: 19282432. Policy #0 lag: (min: 14.0, avg: 19.1, max: 78.0) -[2026-06-02 23:37:22,358][543134] Avg episode reward: [(0, '8233.300')] -[2026-06-02 23:37:24,182][544093] Updated weights for policy 0, policy_version 37712 (0.0011) -[2026-06-02 23:37:26,156][544093] Updated weights for policy 0, policy_version 37776 (0.0010) -[2026-06-02 23:37:27,358][543134] Fps is (10 sec: 16383.6, 60 sec: 16930.0, 300 sec: 16661.7). Total num frames: 19365888. Throughput: 0: 16986.9. Samples: 19386368. Policy #0 lag: (min: 14.0, avg: 19.1, max: 78.0) -[2026-06-02 23:37:27,362][543134] Avg episode reward: [(0, '8154.250')] -[2026-06-02 23:37:28,155][544093] Updated weights for policy 0, policy_version 37840 (0.0011) -[2026-06-02 23:37:30,145][544093] Updated weights for policy 0, policy_version 37920 (0.0011) -[2026-06-02 23:37:32,146][544093] Updated weights for policy 0, policy_version 37986 (0.0010) -[2026-06-02 23:37:32,357][543134] Fps is (10 sec: 18022.4, 60 sec: 16930.1, 300 sec: 16745.0). Total num frames: 19456000. Throughput: 0: 16895.9. Samples: 19436544. Policy #0 lag: (min: 14.0, avg: 19.1, max: 78.0) -[2026-06-02 23:37:32,358][543134] Avg episode reward: [(0, '8042.700')] -[2026-06-02 23:37:34,152][544093] Updated weights for policy 0, policy_version 38050 (0.0010) -[2026-06-02 23:37:36,254][544093] Updated weights for policy 0, policy_version 38137 (0.0010) -[2026-06-02 23:37:37,357][543134] Fps is (10 sec: 16384.4, 60 sec: 16930.1, 300 sec: 16661.7). Total num frames: 19529728. Throughput: 0: 16839.1. Samples: 19534336. Policy #0 lag: (min: 15.0, avg: 20.9, max: 79.0) -[2026-06-02 23:37:37,358][543134] Avg episode reward: [(0, '7989.850')] -[2026-06-02 23:37:40,056][544093] Updated weights for policy 0, policy_version 38224 (0.0011) -[2026-06-02 23:37:42,029][544093] Updated weights for policy 0, policy_version 38290 (0.0010) -[2026-06-02 23:37:42,357][543134] Fps is (10 sec: 16383.8, 60 sec: 16793.6, 300 sec: 16745.0). Total num frames: 19619840. Throughput: 0: 16793.5. Samples: 19633152. Policy #0 lag: (min: 15.0, avg: 20.9, max: 79.0) -[2026-06-02 23:37:42,358][543134] Avg episode reward: [(0, '8223.650')] -[2026-06-02 23:37:44,134][544093] Updated weights for policy 0, policy_version 38368 (0.0010) -[2026-06-02 23:37:45,761][544021] Signal inference workers to stop experience collection... (1800 times) -[2026-06-02 23:37:45,811][544093] InferenceWorker_p0-w0: stopping experience collection (1800 times) -[2026-06-02 23:37:45,896][544021] Signal inference workers to resume experience collection... (1800 times) -[2026-06-02 23:37:45,896][544093] InferenceWorker_p0-w0: resuming experience collection (1800 times) -[2026-06-02 23:37:45,943][544093] Updated weights for policy 0, policy_version 38418 (0.0009) -[2026-06-02 23:37:47,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16930.1, 300 sec: 16661.7). Total num frames: 19693568. Throughput: 0: 16748.2. Samples: 19684864. Policy #0 lag: (min: 15.0, avg: 20.9, max: 79.0) -[2026-06-02 23:37:47,358][543134] Avg episode reward: [(0, '8444.500')] -[2026-06-02 23:37:47,361][544021] Saving new best policy, reward=8444.500! -[2026-06-02 23:37:47,745][544093] Updated weights for policy 0, policy_version 38482 (0.0005) -[2026-06-02 23:37:49,628][544093] Updated weights for policy 0, policy_version 38546 (0.0007) -[2026-06-02 23:37:51,615][544093] Updated weights for policy 0, policy_version 38611 (0.0011) -[2026-06-02 23:37:52,357][543134] Fps is (10 sec: 17203.1, 60 sec: 16930.1, 300 sec: 16745.0). Total num frames: 19791872. Throughput: 0: 16816.2. Samples: 19790336. Policy #0 lag: (min: 15.0, avg: 20.9, max: 79.0) -[2026-06-02 23:37:52,358][543134] Avg episode reward: [(0, '8480.800')] -[2026-06-02 23:37:52,364][544021] Saving new best policy, reward=8480.800! -[2026-06-02 23:37:53,471][544093] Updated weights for policy 0, policy_version 38672 (0.0010) -[2026-06-02 23:37:55,351][544093] Updated weights for policy 0, policy_version 38736 (0.0010) -[2026-06-02 23:37:57,193][544093] Updated weights for policy 0, policy_version 38786 (0.0010) -[2026-06-02 23:37:57,357][543134] Fps is (10 sec: 17203.3, 60 sec: 16793.6, 300 sec: 16689.5). Total num frames: 19865600. Throughput: 0: 16850.6. Samples: 19892736. Policy #0 lag: (min: 15.0, avg: 20.9, max: 79.0) -[2026-06-02 23:37:57,358][543134] Avg episode reward: [(0, '8420.200')] -[2026-06-02 23:37:57,680][544093] Updated weights for policy 0, policy_version 38848 (0.0009) -[2026-06-02 23:38:00,937][544093] Updated weights for policy 0, policy_version 38914 (0.0006) -[2026-06-02 23:38:01,436][544093] Updated weights for policy 0, policy_version 38976 (0.0010) -[2026-06-02 23:38:02,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16930.1, 300 sec: 16772.8). Total num frames: 19955712. Throughput: 0: 16975.6. Samples: 19945472. Policy #0 lag: (min: 15.0, avg: 21.3, max: 79.0) -[2026-06-02 23:38:02,358][543134] Avg episode reward: [(0, '8544.650')] -[2026-06-02 23:38:02,366][544021] Saving new best policy, reward=8544.650! -[2026-06-02 23:38:03,507][544093] Updated weights for policy 0, policy_version 39040 (0.0013) -[2026-06-02 23:38:05,539][544093] Updated weights for policy 0, policy_version 39102 (0.0010) -[2026-06-02 23:38:07,337][544093] Updated weights for policy 0, policy_version 39164 (0.0009) -[2026-06-02 23:38:07,357][543134] Fps is (10 sec: 18022.4, 60 sec: 16793.6, 300 sec: 16745.0). Total num frames: 20045824. Throughput: 0: 16907.4. Samples: 20043264. Policy #0 lag: (min: 15.0, avg: 21.3, max: 79.0) -[2026-06-02 23:38:07,358][543134] Avg episode reward: [(0, '8395.650')] -[2026-06-02 23:38:09,161][544093] Updated weights for policy 0, policy_version 39225 (0.0010) -[2026-06-02 23:38:11,089][544093] Updated weights for policy 0, policy_version 39289 (0.0009) -[2026-06-02 23:38:12,357][543134] Fps is (10 sec: 16384.5, 60 sec: 16930.2, 300 sec: 16772.8). Total num frames: 20119552. Throughput: 0: 16896.1. Samples: 20146688. Policy #0 lag: (min: 15.0, avg: 21.3, max: 79.0) -[2026-06-02 23:38:12,359][543134] Avg episode reward: [(0, '8381.050')] -[2026-06-02 23:38:13,077][544093] Updated weights for policy 0, policy_version 39353 (0.0010) -[2026-06-02 23:38:15,019][544093] Updated weights for policy 0, policy_version 39418 (0.0006) -[2026-06-02 23:38:16,665][544021] Signal inference workers to stop experience collection... (1850 times) -[2026-06-02 23:38:16,693][544093] InferenceWorker_p0-w0: stopping experience collection (1850 times) -[2026-06-02 23:38:16,783][544021] Signal inference workers to resume experience collection... (1850 times) -[2026-06-02 23:38:16,784][544093] InferenceWorker_p0-w0: resuming experience collection (1850 times) -[2026-06-02 23:38:16,871][544093] Updated weights for policy 0, policy_version 39478 (0.0010) -[2026-06-02 23:38:17,357][543134] Fps is (10 sec: 17203.2, 60 sec: 16930.1, 300 sec: 16772.8). Total num frames: 20217856. Throughput: 0: 16884.7. Samples: 20196352. Policy #0 lag: (min: 15.0, avg: 21.3, max: 79.0) -[2026-06-02 23:38:17,358][543134] Avg episode reward: [(0, '8587.900')] -[2026-06-02 23:38:17,362][544021] Saving new best policy, reward=8587.900! -[2026-06-02 23:38:18,849][544093] Updated weights for policy 0, policy_version 39550 (0.0010) -[2026-06-02 23:38:20,816][544093] Updated weights for policy 0, policy_version 39609 (0.0009) -[2026-06-02 23:38:22,357][543134] Fps is (10 sec: 17203.3, 60 sec: 16930.2, 300 sec: 16800.5). Total num frames: 20291584. Throughput: 0: 16952.9. Samples: 20297216. Policy #0 lag: (min: 15.0, avg: 21.3, max: 79.0) -[2026-06-02 23:38:22,358][543134] Avg episode reward: [(0, '8554.550')] -[2026-06-02 23:38:22,667][544093] Updated weights for policy 0, policy_version 39672 (0.0009) -[2026-06-02 23:38:24,513][544093] Updated weights for policy 0, policy_version 39739 (0.0009) -[2026-06-02 23:38:26,338][544093] Updated weights for policy 0, policy_version 39798 (0.0009) -[2026-06-02 23:38:27,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16930.2, 300 sec: 16772.8). Total num frames: 20381696. Throughput: 0: 17123.7. Samples: 20403712. Policy #0 lag: (min: 31.0, avg: 37.7, max: 95.0) -[2026-06-02 23:38:27,358][543134] Avg episode reward: [(0, '8578.350')] -[2026-06-02 23:38:28,337][544093] Updated weights for policy 0, policy_version 39858 (0.0012) -[2026-06-02 23:38:30,258][544093] Updated weights for policy 0, policy_version 39923 (0.0009) -[2026-06-02 23:38:32,264][544093] Updated weights for policy 0, policy_version 39984 (0.0006) -[2026-06-02 23:38:32,357][543134] Fps is (10 sec: 18022.3, 60 sec: 16930.2, 300 sec: 16856.1). Total num frames: 20471808. Throughput: 0: 17055.3. Samples: 20452352. Policy #0 lag: (min: 31.0, avg: 37.7, max: 95.0) -[2026-06-02 23:38:32,358][543134] Avg episode reward: [(0, '8855.900')] -[2026-06-02 23:38:32,418][544021] Saving new best policy, reward=8855.900! -[2026-06-02 23:38:34,267][544093] Updated weights for policy 0, policy_version 40034 (0.0010) -[2026-06-02 23:38:35,961][544093] Updated weights for policy 0, policy_version 40096 (0.0008) -[2026-06-02 23:38:37,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16930.1, 300 sec: 16772.8). Total num frames: 20545536. Throughput: 0: 16953.0. Samples: 20553216. Policy #0 lag: (min: 31.0, avg: 37.7, max: 95.0) -[2026-06-02 23:38:37,358][543134] Avg episode reward: [(0, '8929.300')] -[2026-06-02 23:38:37,362][544021] Saving new best policy, reward=8929.300! -[2026-06-02 23:38:37,742][544093] Updated weights for policy 0, policy_version 40144 (0.0009) -[2026-06-02 23:38:39,639][544093] Updated weights for policy 0, policy_version 40210 (0.0009) -[2026-06-02 23:38:41,893][544093] Updated weights for policy 0, policy_version 40290 (0.0011) -[2026-06-02 23:38:42,357][543134] Fps is (10 sec: 17203.2, 60 sec: 17066.7, 300 sec: 16883.8). Total num frames: 20643840. Throughput: 0: 16918.7. Samples: 20654080. Policy #0 lag: (min: 31.0, avg: 37.7, max: 95.0) -[2026-06-02 23:38:42,360][543134] Avg episode reward: [(0, '9206.850')] -[2026-06-02 23:38:42,365][544021] Saving new best policy, reward=9206.850! -[2026-06-02 23:38:43,935][544093] Updated weights for policy 0, policy_version 40370 (0.0010) -[2026-06-02 23:38:45,790][544093] Updated weights for policy 0, policy_version 40432 (0.0009) -[2026-06-02 23:38:47,357][543134] Fps is (10 sec: 16384.0, 60 sec: 16930.2, 300 sec: 16772.8). Total num frames: 20709376. Throughput: 0: 16941.6. Samples: 20707840. Policy #0 lag: (min: 31.0, avg: 37.7, max: 95.0) -[2026-06-02 23:38:47,358][543134] Avg episode reward: [(0, '9089.250')] -[2026-06-02 23:38:47,837][544093] Updated weights for policy 0, policy_version 40500 (0.0010) -[2026-06-02 23:38:49,441][544021] Signal inference workers to stop experience collection... (1900 times) -[2026-06-02 23:38:49,471][544093] InferenceWorker_p0-w0: stopping experience collection (1900 times) -[2026-06-02 23:38:49,561][544021] Signal inference workers to resume experience collection... (1900 times) -[2026-06-02 23:38:49,562][544093] InferenceWorker_p0-w0: resuming experience collection (1900 times) -[2026-06-02 23:38:49,718][544093] Updated weights for policy 0, policy_version 40562 (0.0011) -[2026-06-02 23:38:51,548][544093] Updated weights for policy 0, policy_version 40624 (0.0007) -[2026-06-02 23:38:52,357][543134] Fps is (10 sec: 16384.2, 60 sec: 16930.2, 300 sec: 16856.1). Total num frames: 20807680. Throughput: 0: 17021.2. Samples: 20809216. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:38:52,357][543134] Avg episode reward: [(0, '9077.850')] -[2026-06-02 23:38:53,383][544093] Updated weights for policy 0, policy_version 40688 (0.0005) -[2026-06-02 23:38:55,110][544093] Updated weights for policy 0, policy_version 40736 (0.0005) -[2026-06-02 23:38:56,926][544093] Updated weights for policy 0, policy_version 40786 (0.0005) -[2026-06-02 23:38:57,357][543134] Fps is (10 sec: 19661.0, 60 sec: 17339.8, 300 sec: 16883.9). Total num frames: 20905984. Throughput: 0: 17055.3. Samples: 20914176. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:38:57,357][543134] Avg episode reward: [(0, '9306.450')] -[2026-06-02 23:38:57,360][544021] Saving new best policy, reward=9306.450! -[2026-06-02 23:38:58,710][544093] Updated weights for policy 0, policy_version 40848 (0.0007) -[2026-06-02 23:39:00,664][544093] Updated weights for policy 0, policy_version 40928 (0.0006) -[2026-06-02 23:39:02,357][543134] Fps is (10 sec: 16383.8, 60 sec: 16930.2, 300 sec: 16800.5). Total num frames: 20971520. Throughput: 0: 17169.1. Samples: 20968960. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:39:02,358][543134] Avg episode reward: [(0, '9410.050')] -[2026-06-02 23:39:02,362][544021] Saving new best policy, reward=9410.050! -[2026-06-02 23:39:02,668][544093] Updated weights for policy 0, policy_version 40994 (0.0009) -[2026-06-02 23:39:04,658][544093] Updated weights for policy 0, policy_version 41072 (0.0010) -[2026-06-02 23:39:06,595][544093] Updated weights for policy 0, policy_version 41138 (0.0010) -[2026-06-02 23:39:07,357][543134] Fps is (10 sec: 16383.8, 60 sec: 17066.7, 300 sec: 16883.9). Total num frames: 21069824. Throughput: 0: 17191.8. Samples: 21070848. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:39:07,358][543134] Avg episode reward: [(0, '9208.100')] -[2026-06-02 23:39:08,586][544093] Updated weights for policy 0, policy_version 41202 (0.0011) -[2026-06-02 23:39:10,477][544093] Updated weights for policy 0, policy_version 41266 (0.0007) -[2026-06-02 23:39:12,329][544093] Updated weights for policy 0, policy_version 41330 (0.0009) -[2026-06-02 23:39:12,357][543134] Fps is (10 sec: 18841.7, 60 sec: 17339.7, 300 sec: 16883.9). Total num frames: 21159936. Throughput: 0: 17078.0. Samples: 21172224. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:39:12,358][543134] Avg episode reward: [(0, '9331.700')] -[2026-06-02 23:39:14,288][544093] Updated weights for policy 0, policy_version 41394 (0.0008) -[2026-06-02 23:39:16,223][544093] Updated weights for policy 0, policy_version 41458 (0.0010) -[2026-06-02 23:39:17,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16930.1, 300 sec: 16883.9). Total num frames: 21233664. Throughput: 0: 17169.1. Samples: 21224960. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:39:17,358][543134] Avg episode reward: [(0, '9311.350')] -[2026-06-02 23:39:18,284][544093] Updated weights for policy 0, policy_version 41522 (0.0010) -[2026-06-02 23:39:20,227][544093] Updated weights for policy 0, policy_version 41584 (0.0010) -[2026-06-02 23:39:21,698][544021] Signal inference workers to stop experience collection... (1950 times) -[2026-06-02 23:39:21,724][544093] InferenceWorker_p0-w0: stopping experience collection (1950 times) -[2026-06-02 23:39:21,824][544021] Signal inference workers to resume experience collection... (1950 times) -[2026-06-02 23:39:21,825][544093] InferenceWorker_p0-w0: resuming experience collection (1950 times) -[2026-06-02 23:39:21,978][544093] Updated weights for policy 0, policy_version 41634 (0.0009) -[2026-06-02 23:39:22,357][543134] Fps is (10 sec: 17203.2, 60 sec: 17339.7, 300 sec: 16883.8). Total num frames: 21331968. Throughput: 0: 17146.3. Samples: 21324800. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-02 23:39:22,358][543134] Avg episode reward: [(0, '9290.050')] -[2026-06-02 23:39:23,739][544093] Updated weights for policy 0, policy_version 41698 (0.0009) -[2026-06-02 23:39:25,509][544093] Updated weights for policy 0, policy_version 41760 (0.0006) -[2026-06-02 23:39:27,310][544093] Updated weights for policy 0, policy_version 41809 (0.0008) -[2026-06-02 23:39:27,357][543134] Fps is (10 sec: 17203.4, 60 sec: 17066.7, 300 sec: 16911.6). Total num frames: 21405696. Throughput: 0: 17294.2. Samples: 21432320. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-02 23:39:27,358][543134] Avg episode reward: [(0, '9188.100')] -[2026-06-02 23:39:29,435][544093] Updated weights for policy 0, policy_version 41890 (0.0007) -[2026-06-02 23:39:31,299][544093] Updated weights for policy 0, policy_version 41968 (0.0010) -[2026-06-02 23:39:32,357][543134] Fps is (10 sec: 16384.0, 60 sec: 17066.7, 300 sec: 16883.8). Total num frames: 21495808. Throughput: 0: 17203.2. Samples: 21481984. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-02 23:39:32,358][543134] Avg episode reward: [(0, '9225.900')] -[2026-06-02 23:39:33,050][544093] Updated weights for policy 0, policy_version 42018 (0.0009) -[2026-06-02 23:39:34,951][544093] Updated weights for policy 0, policy_version 42096 (0.0010) -[2026-06-02 23:39:36,900][544093] Updated weights for policy 0, policy_version 42160 (0.0010) -[2026-06-02 23:39:37,357][543134] Fps is (10 sec: 18841.6, 60 sec: 17476.3, 300 sec: 16967.2). Total num frames: 21594112. Throughput: 0: 17362.5. Samples: 21590528. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-02 23:39:37,358][543134] Avg episode reward: [(0, '9443.750')] -[2026-06-02 23:39:37,362][544021] Saving new best policy, reward=9443.750! -[2026-06-02 23:39:38,726][544093] Updated weights for policy 0, policy_version 42210 (0.0009) -[2026-06-02 23:39:40,532][544093] Updated weights for policy 0, policy_version 42272 (0.0009) -[2026-06-02 23:39:42,240][544093] Updated weights for policy 0, policy_version 42320 (0.0011) -[2026-06-02 23:39:42,357][543134] Fps is (10 sec: 18022.5, 60 sec: 17203.2, 300 sec: 16939.4). Total num frames: 21676032. Throughput: 0: 17339.7. Samples: 21694464. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-02 23:39:42,358][543134] Avg episode reward: [(0, '9255.950')] -[2026-06-02 23:39:44,127][544093] Updated weights for policy 0, policy_version 42384 (0.0010) -[2026-06-02 23:39:45,993][544093] Updated weights for policy 0, policy_version 42448 (0.0009) -[2026-06-02 23:39:47,357][543134] Fps is (10 sec: 16383.9, 60 sec: 17476.2, 300 sec: 16939.4). Total num frames: 21757952. Throughput: 0: 17305.6. Samples: 21747712. Policy #0 lag: (min: 5.0, avg: 10.9, max: 69.0) -[2026-06-02 23:39:47,358][543134] Avg episode reward: [(0, '9547.150')] -[2026-06-02 23:39:47,362][544021] Saving new best policy, reward=9547.150! -[2026-06-02 23:39:47,801][544093] Updated weights for policy 0, policy_version 42500 (0.0010) -[2026-06-02 23:39:48,293][544093] Updated weights for policy 0, policy_version 42560 (0.0009) -[2026-06-02 23:39:50,229][544093] Updated weights for policy 0, policy_version 42624 (0.0009) -[2026-06-02 23:39:51,819][544021] Signal inference workers to stop experience collection... (2000 times) -[2026-06-02 23:39:51,848][544093] InferenceWorker_p0-w0: stopping experience collection (2000 times) -[2026-06-02 23:39:51,925][544021] Signal inference workers to resume experience collection... (2000 times) -[2026-06-02 23:39:51,926][544093] InferenceWorker_p0-w0: resuming experience collection (2000 times) -[2026-06-02 23:39:52,095][544093] Updated weights for policy 0, policy_version 42687 (0.0009) -[2026-06-02 23:39:52,357][543134] Fps is (10 sec: 18022.3, 60 sec: 17476.2, 300 sec: 16994.9). Total num frames: 21856256. Throughput: 0: 17339.7. Samples: 21851136. Policy #0 lag: (min: 5.0, avg: 10.9, max: 69.0) -[2026-06-02 23:39:52,358][543134] Avg episode reward: [(0, '9674.750')] -[2026-06-02 23:39:52,362][544021] Saving new best policy, reward=9674.750! -[2026-06-02 23:39:53,978][544093] Updated weights for policy 0, policy_version 42752 (0.0009) -[2026-06-02 23:39:57,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16930.1, 300 sec: 16939.4). Total num frames: 21921792. Throughput: 0: 17408.0. Samples: 21955584. Policy #0 lag: (min: 5.0, avg: 10.9, max: 69.0) -[2026-06-02 23:39:57,358][543134] Avg episode reward: [(0, '9603.450')] -[2026-06-02 23:39:57,399][544093] Updated weights for policy 0, policy_version 42832 (0.0011) -[2026-06-02 23:39:59,254][544093] Updated weights for policy 0, policy_version 42898 (0.0010) -[2026-06-02 23:40:01,114][544093] Updated weights for policy 0, policy_version 42960 (0.0010) -[2026-06-02 23:40:02,357][543134] Fps is (10 sec: 16383.9, 60 sec: 17476.3, 300 sec: 16994.9). Total num frames: 22020096. Throughput: 0: 17419.4. Samples: 22008832. Policy #0 lag: (min: 5.0, avg: 10.9, max: 69.0) -[2026-06-02 23:40:02,358][543134] Avg episode reward: [(0, '9524.700')] -[2026-06-02 23:40:02,984][544093] Updated weights for policy 0, policy_version 43026 (0.0010) -[2026-06-02 23:40:05,059][544093] Updated weights for policy 0, policy_version 43106 (0.0010) -[2026-06-02 23:40:06,910][544093] Updated weights for policy 0, policy_version 43168 (0.0010) -[2026-06-02 23:40:07,357][543134] Fps is (10 sec: 19660.8, 60 sec: 17476.3, 300 sec: 17022.7). Total num frames: 22118400. Throughput: 0: 17499.0. Samples: 22112256. Policy #0 lag: (min: 5.0, avg: 10.9, max: 69.0) -[2026-06-02 23:40:07,358][543134] Avg episode reward: [(0, '9808.300')] -[2026-06-02 23:40:07,362][544021] Saving new best policy, reward=9808.300! -[2026-06-02 23:40:08,894][544093] Updated weights for policy 0, policy_version 43232 (0.0010) -[2026-06-02 23:40:10,743][544093] Updated weights for policy 0, policy_version 43296 (0.0009) -[2026-06-02 23:40:12,357][543134] Fps is (10 sec: 16384.1, 60 sec: 17066.7, 300 sec: 16994.9). Total num frames: 22183936. Throughput: 0: 17385.2. Samples: 22214656. Policy #0 lag: (min: 5.0, avg: 10.9, max: 69.0) -[2026-06-02 23:40:12,358][543134] Avg episode reward: [(0, '9805.150')] -[2026-06-02 23:40:12,834][544093] Updated weights for policy 0, policy_version 43378 (0.0010) -[2026-06-02 23:40:14,634][544093] Updated weights for policy 0, policy_version 43440 (0.0009) -[2026-06-02 23:40:16,429][544093] Updated weights for policy 0, policy_version 43490 (0.0009) -[2026-06-02 23:40:17,357][543134] Fps is (10 sec: 16384.0, 60 sec: 17476.3, 300 sec: 16994.9). Total num frames: 22282240. Throughput: 0: 17430.8. Samples: 22266368. Policy #0 lag: (min: 15.0, avg: 20.9, max: 79.0) -[2026-06-02 23:40:17,358][543134] Avg episode reward: [(0, '9786.500')] -[2026-06-02 23:40:18,443][544093] Updated weights for policy 0, policy_version 43568 (0.0010) -[2026-06-02 23:40:20,483][544093] Updated weights for policy 0, policy_version 43637 (0.0011) -[2026-06-02 23:40:22,357][543134] Fps is (10 sec: 18022.5, 60 sec: 17203.2, 300 sec: 17050.5). Total num frames: 22364160. Throughput: 0: 17248.7. Samples: 22366720. Policy #0 lag: (min: 15.0, avg: 20.9, max: 79.0) -[2026-06-02 23:40:22,358][543134] Avg episode reward: [(0, '10018.750')] -[2026-06-02 23:40:22,587][544093] Updated weights for policy 0, policy_version 43708 (0.0009) -[2026-06-02 23:40:22,614][544021] Saving new best policy, reward=10018.750! -[2026-06-02 23:40:24,162][544021] Signal inference workers to stop experience collection... (2050 times) -[2026-06-02 23:40:24,192][544093] InferenceWorker_p0-w0: stopping experience collection (2050 times) -[2026-06-02 23:40:24,280][544021] Signal inference workers to resume experience collection... (2050 times) -[2026-06-02 23:40:24,280][544093] InferenceWorker_p0-w0: resuming experience collection (2050 times) -[2026-06-02 23:40:24,528][544093] Updated weights for policy 0, policy_version 43774 (0.0010) -[2026-06-02 23:40:26,437][544093] Updated weights for policy 0, policy_version 43835 (0.0010) -[2026-06-02 23:40:27,357][543134] Fps is (10 sec: 16384.1, 60 sec: 17339.7, 300 sec: 16994.9). Total num frames: 22446080. Throughput: 0: 17214.6. Samples: 22469120. Policy #0 lag: (min: 15.0, avg: 20.9, max: 79.0) -[2026-06-02 23:40:27,358][543134] Avg episode reward: [(0, '9857.000')] -[2026-06-02 23:40:28,304][544093] Updated weights for policy 0, policy_version 43897 (0.0010) -[2026-06-02 23:40:30,217][544093] Updated weights for policy 0, policy_version 43958 (0.0010) -[2026-06-02 23:40:32,122][544093] Updated weights for policy 0, policy_version 44016 (0.0010) -[2026-06-02 23:40:32,357][543134] Fps is (10 sec: 18022.2, 60 sec: 17476.3, 300 sec: 17106.0). Total num frames: 22544384. Throughput: 0: 17134.9. Samples: 22518784. Policy #0 lag: (min: 15.0, avg: 20.9, max: 79.0) -[2026-06-02 23:40:32,358][543134] Avg episode reward: [(0, '10085.200')] -[2026-06-02 23:40:32,360][544021] Saving new best policy, reward=10085.200! -[2026-06-02 23:40:34,025][544093] Updated weights for policy 0, policy_version 44083 (0.0011) -[2026-06-02 23:40:35,896][544093] Updated weights for policy 0, policy_version 44150 (0.0010) -[2026-06-02 23:40:37,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16930.1, 300 sec: 16994.9). Total num frames: 22609920. Throughput: 0: 17146.3. Samples: 22622720. Policy #0 lag: (min: 15.0, avg: 20.9, max: 79.0) -[2026-06-02 23:40:37,358][543134] Avg episode reward: [(0, '10209.550')] -[2026-06-02 23:40:37,362][544021] Saving new best policy, reward=10209.550! -[2026-06-02 23:40:37,858][544093] Updated weights for policy 0, policy_version 44218 (0.0009) -[2026-06-02 23:40:39,585][544093] Updated weights for policy 0, policy_version 44280 (0.0009) -[2026-06-02 23:40:41,483][544093] Updated weights for policy 0, policy_version 44341 (0.0010) -[2026-06-02 23:40:42,357][543134] Fps is (10 sec: 16384.2, 60 sec: 17203.2, 300 sec: 17106.0). Total num frames: 22708224. Throughput: 0: 17214.6. Samples: 22730240. Policy #0 lag: (min: 15.0, avg: 20.9, max: 79.0) -[2026-06-02 23:40:42,357][543134] Avg episode reward: [(0, '10206.250')] -[2026-06-02 23:40:43,297][544093] Updated weights for policy 0, policy_version 44406 (0.0009) -[2026-06-02 23:40:45,196][544093] Updated weights for policy 0, policy_version 44470 (0.0010) -[2026-06-02 23:40:47,045][544093] Updated weights for policy 0, policy_version 44532 (0.0009) -[2026-06-02 23:40:47,357][543134] Fps is (10 sec: 19660.8, 60 sec: 17476.3, 300 sec: 17106.0). Total num frames: 22806528. Throughput: 0: 17157.7. Samples: 22780928. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 23:40:47,358][543134] Avg episode reward: [(0, '10220.450')] -[2026-06-02 23:40:47,361][544021] Saving new best policy, reward=10220.450! -[2026-06-02 23:40:48,971][544093] Updated weights for policy 0, policy_version 44597 (0.0009) -[2026-06-02 23:40:50,735][544093] Updated weights for policy 0, policy_version 44656 (0.0009) -[2026-06-02 23:40:52,357][543134] Fps is (10 sec: 16383.8, 60 sec: 16930.1, 300 sec: 16994.9). Total num frames: 22872064. Throughput: 0: 17191.8. Samples: 22885888. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 23:40:52,358][543134] Avg episode reward: [(0, '10673.900')] -[2026-06-02 23:40:52,536][544021] Saving new best policy, reward=10673.900! -[2026-06-02 23:40:52,760][544093] Updated weights for policy 0, policy_version 44730 (0.0010) -[2026-06-02 23:40:54,597][544093] Updated weights for policy 0, policy_version 44793 (0.0007) -[2026-06-02 23:40:56,120][544021] Signal inference workers to stop experience collection... (2100 times) -[2026-06-02 23:40:56,169][544093] InferenceWorker_p0-w0: stopping experience collection (2100 times) -[2026-06-02 23:40:56,262][544021] Signal inference workers to resume experience collection... (2100 times) -[2026-06-02 23:40:56,262][544093] InferenceWorker_p0-w0: resuming experience collection (2100 times) -[2026-06-02 23:40:57,357][543134] Fps is (10 sec: 16384.1, 60 sec: 17476.3, 300 sec: 17106.0). Total num frames: 22970368. Throughput: 0: 17248.7. Samples: 22990848. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 23:40:57,358][543134] Avg episode reward: [(0, '10516.300')] -[2026-06-02 23:40:58,176][544093] Updated weights for policy 0, policy_version 44880 (0.0011) -[2026-06-02 23:40:58,606][544093] Updated weights for policy 0, policy_version 44928 (0.0010) -[2026-06-02 23:41:01,837][544093] Updated weights for policy 0, policy_version 44994 (0.0010) -[2026-06-02 23:41:02,357][543134] Fps is (10 sec: 19660.8, 60 sec: 17476.3, 300 sec: 17106.0). Total num frames: 23068672. Throughput: 0: 17180.5. Samples: 23039488. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 23:41:02,358][543134] Avg episode reward: [(0, '10375.450')] -[2026-06-02 23:41:03,862][544093] Updated weights for policy 0, policy_version 45072 (0.0010) -[2026-06-02 23:41:05,728][544093] Updated weights for policy 0, policy_version 45136 (0.0010) -[2026-06-02 23:41:07,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16930.1, 300 sec: 17106.0). Total num frames: 23134208. Throughput: 0: 17282.8. Samples: 23144448. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 23:41:07,358][543134] Avg episode reward: [(0, '10487.650')] -[2026-06-02 23:41:07,554][544093] Updated weights for policy 0, policy_version 45186 (0.0010) -[2026-06-02 23:41:09,443][544093] Updated weights for policy 0, policy_version 45250 (0.0010) -[2026-06-02 23:41:09,902][544093] Updated weights for policy 0, policy_version 45312 (0.0010) -[2026-06-02 23:41:11,672][544093] Updated weights for policy 0, policy_version 45370 (0.0010) -[2026-06-02 23:41:12,357][543134] Fps is (10 sec: 16384.0, 60 sec: 17476.3, 300 sec: 17106.0). Total num frames: 23232512. Throughput: 0: 17385.2. Samples: 23251456. Policy #0 lag: (min: 31.0, avg: 36.2, max: 95.0) -[2026-06-02 23:41:12,358][543134] Avg episode reward: [(0, '10471.150')] -[2026-06-02 23:41:13,532][544093] Updated weights for policy 0, policy_version 45433 (0.0010) -[2026-06-02 23:41:15,466][544093] Updated weights for policy 0, policy_version 45493 (0.0010) -[2026-06-02 23:41:17,324][544093] Updated weights for policy 0, policy_version 45553 (0.0010) -[2026-06-02 23:41:17,357][543134] Fps is (10 sec: 18841.6, 60 sec: 17339.7, 300 sec: 17161.5). Total num frames: 23322624. Throughput: 0: 17385.3. Samples: 23301120. Policy #0 lag: (min: 31.0, avg: 36.2, max: 95.0) -[2026-06-02 23:41:17,358][543134] Avg episode reward: [(0, '11018.400')] -[2026-06-02 23:41:17,436][544021] Saving new best policy, reward=11018.400! -[2026-06-02 23:41:19,358][544093] Updated weights for policy 0, policy_version 45625 (0.0011) -[2026-06-02 23:41:21,205][544093] Updated weights for policy 0, policy_version 45685 (0.0007) -[2026-06-02 23:41:22,357][543134] Fps is (10 sec: 16384.0, 60 sec: 17203.2, 300 sec: 17106.0). Total num frames: 23396352. Throughput: 0: 17328.4. Samples: 23402496. Policy #0 lag: (min: 31.0, avg: 36.2, max: 95.0) -[2026-06-02 23:41:22,358][543134] Avg episode reward: [(0, '10844.700')] -[2026-06-02 23:41:23,197][544093] Updated weights for policy 0, policy_version 45754 (0.0009) -[2026-06-02 23:41:25,074][544093] Updated weights for policy 0, policy_version 45817 (0.0009) -[2026-06-02 23:41:26,779][544021] Signal inference workers to stop experience collection... (2150 times) -[2026-06-02 23:41:26,808][544093] InferenceWorker_p0-w0: stopping experience collection (2150 times) -[2026-06-02 23:41:26,888][544021] Signal inference workers to resume experience collection... (2150 times) -[2026-06-02 23:41:26,888][544093] InferenceWorker_p0-w0: resuming experience collection (2150 times) -[2026-06-02 23:41:27,016][544093] Updated weights for policy 0, policy_version 45882 (0.0009) -[2026-06-02 23:41:27,357][543134] Fps is (10 sec: 17203.3, 60 sec: 17476.3, 300 sec: 17133.8). Total num frames: 23494656. Throughput: 0: 17225.9. Samples: 23505408. Policy #0 lag: (min: 31.0, avg: 36.2, max: 95.0) -[2026-06-02 23:41:27,358][543134] Avg episode reward: [(0, '10794.300')] -[2026-06-02 23:41:28,956][544093] Updated weights for policy 0, policy_version 45947 (0.0010) -[2026-06-02 23:41:30,773][544093] Updated weights for policy 0, policy_version 46008 (0.0009) -[2026-06-02 23:41:32,357][543134] Fps is (10 sec: 17203.2, 60 sec: 17066.7, 300 sec: 17133.8). Total num frames: 23568384. Throughput: 0: 17328.4. Samples: 23560704. Policy #0 lag: (min: 31.0, avg: 36.2, max: 95.0) -[2026-06-02 23:41:32,358][543134] Avg episode reward: [(0, '11291.100')] -[2026-06-02 23:41:32,509][544021] Saving new best policy, reward=11291.100! -[2026-06-02 23:41:32,674][544093] Updated weights for policy 0, policy_version 46076 (0.0009) -[2026-06-02 23:41:34,691][544093] Updated weights for policy 0, policy_version 46142 (0.0010) -[2026-06-02 23:41:36,652][544093] Updated weights for policy 0, policy_version 46208 (0.0010) -[2026-06-02 23:41:37,357][543134] Fps is (10 sec: 16384.0, 60 sec: 17476.3, 300 sec: 17106.0). Total num frames: 23658496. Throughput: 0: 17203.2. Samples: 23660032. Policy #0 lag: (min: 31.0, avg: 36.2, max: 95.0) -[2026-06-02 23:41:37,358][543134] Avg episode reward: [(0, '11505.300')] -[2026-06-02 23:41:37,361][544021] Saving new best policy, reward=11505.300! -[2026-06-02 23:41:40,061][544093] Updated weights for policy 0, policy_version 46288 (0.0010) -[2026-06-02 23:41:41,932][544093] Updated weights for policy 0, policy_version 46352 (0.0010) -[2026-06-02 23:41:42,357][543134] Fps is (10 sec: 18841.7, 60 sec: 17476.2, 300 sec: 17217.1). Total num frames: 23756800. Throughput: 0: 17146.3. Samples: 23762432. Policy #0 lag: (min: 15.0, avg: 21.9, max: 79.0) -[2026-06-02 23:41:42,358][543134] Avg episode reward: [(0, '11552.700')] -[2026-06-02 23:41:42,362][544021] Saving new best policy, reward=11552.700! -[2026-06-02 23:41:43,955][544093] Updated weights for policy 0, policy_version 46416 (0.0010) -[2026-06-02 23:41:46,105][544093] Updated weights for policy 0, policy_version 46496 (0.0010) -[2026-06-02 23:41:47,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16930.1, 300 sec: 17106.0). Total num frames: 23822336. Throughput: 0: 17180.4. Samples: 23812608. Policy #0 lag: (min: 15.0, avg: 21.9, max: 79.0) -[2026-06-02 23:41:47,358][543134] Avg episode reward: [(0, '11685.300')] -[2026-06-02 23:41:47,362][544021] Saving new best policy, reward=11685.300! -[2026-06-02 23:41:48,080][544093] Updated weights for policy 0, policy_version 46560 (0.0009) -[2026-06-02 23:41:49,954][544093] Updated weights for policy 0, policy_version 46624 (0.0010) -[2026-06-02 23:41:51,937][544093] Updated weights for policy 0, policy_version 46704 (0.0010) -[2026-06-02 23:41:52,357][543134] Fps is (10 sec: 16383.8, 60 sec: 17476.3, 300 sec: 17161.5). Total num frames: 23920640. Throughput: 0: 17157.7. Samples: 23916544. Policy #0 lag: (min: 15.0, avg: 21.9, max: 79.0) -[2026-06-02 23:41:52,358][543134] Avg episode reward: [(0, '11345.650')] -[2026-06-02 23:41:53,785][544093] Updated weights for policy 0, policy_version 46754 (0.0009) -[2026-06-02 23:41:55,696][544093] Updated weights for policy 0, policy_version 46832 (0.0010) -[2026-06-02 23:41:57,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16930.1, 300 sec: 17106.0). Total num frames: 23986176. Throughput: 0: 17078.0. Samples: 24019968. Policy #0 lag: (min: 15.0, avg: 21.9, max: 79.0) -[2026-06-02 23:41:57,358][543134] Avg episode reward: [(0, '11100.300')] -[2026-06-02 23:41:57,647][544093] Updated weights for policy 0, policy_version 46898 (0.0009) -[2026-06-02 23:41:59,303][544021] Signal inference workers to stop experience collection... (2200 times) -[2026-06-02 23:41:59,333][544093] InferenceWorker_p0-w0: stopping experience collection (2200 times) -[2026-06-02 23:41:59,408][544021] Signal inference workers to resume experience collection... (2200 times) -[2026-06-02 23:41:59,408][544093] InferenceWorker_p0-w0: resuming experience collection (2200 times) -[2026-06-02 23:41:59,563][544093] Updated weights for policy 0, policy_version 46962 (0.0010) -[2026-06-02 23:42:01,498][544093] Updated weights for policy 0, policy_version 47030 (0.0009) -[2026-06-02 23:42:02,357][543134] Fps is (10 sec: 16383.9, 60 sec: 16930.1, 300 sec: 17106.0). Total num frames: 24084480. Throughput: 0: 17089.4. Samples: 24070144. Policy #0 lag: (min: 15.0, avg: 21.9, max: 79.0) -[2026-06-02 23:42:02,358][543134] Avg episode reward: [(0, '10805.950')] -[2026-06-02 23:42:03,218][544093] Updated weights for policy 0, policy_version 47091 (0.0009) -[2026-06-02 23:42:04,985][544093] Updated weights for policy 0, policy_version 47154 (0.0009) -[2026-06-02 23:42:06,817][544093] Updated weights for policy 0, policy_version 47216 (0.0009) -[2026-06-02 23:42:07,357][543134] Fps is (10 sec: 19660.7, 60 sec: 17476.2, 300 sec: 17217.1). Total num frames: 24182784. Throughput: 0: 17294.2. Samples: 24180736. Policy #0 lag: (min: 15.0, avg: 21.9, max: 79.0) -[2026-06-02 23:42:07,358][543134] Avg episode reward: [(0, '10505.900')] -[2026-06-02 23:42:08,791][544093] Updated weights for policy 0, policy_version 47280 (0.0010) -[2026-06-02 23:42:10,591][544093] Updated weights for policy 0, policy_version 47328 (0.0010) -[2026-06-02 23:42:12,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16930.1, 300 sec: 17106.0). Total num frames: 24248320. Throughput: 0: 17260.1. Samples: 24282112. Policy #0 lag: (min: 15.0, avg: 21.9, max: 79.0) -[2026-06-02 23:42:12,358][543134] Avg episode reward: [(0, '10452.750')] -[2026-06-02 23:42:12,499][544093] Updated weights for policy 0, policy_version 47392 (0.0010) -[2026-06-02 23:42:14,225][544093] Updated weights for policy 0, policy_version 47442 (0.0009) -[2026-06-02 23:42:16,072][544093] Updated weights for policy 0, policy_version 47504 (0.0011) -[2026-06-02 23:42:17,357][543134] Fps is (10 sec: 16384.0, 60 sec: 17066.6, 300 sec: 17189.3). Total num frames: 24346624. Throughput: 0: 17203.2. Samples: 24334848. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:42:17,359][543134] Avg episode reward: [(0, '10558.450')] -[2026-06-02 23:42:18,107][544093] Updated weights for policy 0, policy_version 47570 (0.0016) -[2026-06-02 23:42:19,956][544093] Updated weights for policy 0, policy_version 47632 (0.0013) -[2026-06-02 23:42:21,949][544093] Updated weights for policy 0, policy_version 47712 (0.0014) -[2026-06-02 23:42:22,357][543134] Fps is (10 sec: 19660.7, 60 sec: 17476.3, 300 sec: 17217.1). Total num frames: 24444928. Throughput: 0: 17271.4. Samples: 24437248. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:42:22,358][543134] Avg episode reward: [(0, '10983.500')] -[2026-06-02 23:42:23,738][544093] Updated weights for policy 0, policy_version 47760 (0.0015) -[2026-06-02 23:42:25,583][544093] Updated weights for policy 0, policy_version 47810 (0.0015) -[2026-06-02 23:42:27,357][543134] Fps is (10 sec: 16384.1, 60 sec: 16930.1, 300 sec: 17133.8). Total num frames: 24510464. Throughput: 0: 17305.6. Samples: 24541184. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:42:27,358][543134] Avg episode reward: [(0, '10901.650')] -[2026-06-02 23:42:27,499][544093] Updated weights for policy 0, policy_version 47874 (0.0014) -[2026-06-02 23:42:29,387][544093] Updated weights for policy 0, policy_version 47938 (0.0015) -[2026-06-02 23:42:31,121][544021] Signal inference workers to stop experience collection... (2250 times) -[2026-06-02 23:42:31,166][544093] Updated weights for policy 0, policy_version 48002 (0.0014) -[2026-06-02 23:42:31,169][544093] InferenceWorker_p0-w0: stopping experience collection (2250 times) -[2026-06-02 23:42:31,251][544021] Signal inference workers to resume experience collection... (2250 times) -[2026-06-02 23:42:31,251][544093] InferenceWorker_p0-w0: resuming experience collection (2250 times) -[2026-06-02 23:42:31,646][544093] Updated weights for policy 0, policy_version 48063 (0.0010) -[2026-06-02 23:42:32,357][543134] Fps is (10 sec: 16383.9, 60 sec: 17339.7, 300 sec: 17217.1). Total num frames: 24608768. Throughput: 0: 17317.0. Samples: 24591872. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:42:32,358][543134] Avg episode reward: [(0, '11201.100')] -[2026-06-02 23:42:33,436][544093] Updated weights for policy 0, policy_version 48121 (0.0010) -[2026-06-02 23:42:35,200][544093] Updated weights for policy 0, policy_version 48182 (0.0010) -[2026-06-02 23:42:36,897][544093] Updated weights for policy 0, policy_version 48242 (0.0009) -[2026-06-02 23:42:37,357][543134] Fps is (10 sec: 19660.8, 60 sec: 17476.3, 300 sec: 17244.9). Total num frames: 24707072. Throughput: 0: 17487.7. Samples: 24703488. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:42:37,358][543134] Avg episode reward: [(0, '11222.450')] -[2026-06-02 23:42:38,929][544093] Updated weights for policy 0, policy_version 48314 (0.0009) -[2026-06-02 23:42:40,792][544093] Updated weights for policy 0, policy_version 48376 (0.0010) -[2026-06-02 23:42:42,357][543134] Fps is (10 sec: 17203.4, 60 sec: 17066.7, 300 sec: 17244.9). Total num frames: 24780800. Throughput: 0: 17499.0. Samples: 24807424. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:42:42,358][543134] Avg episode reward: [(0, '11862.650')] -[2026-06-02 23:42:42,488][544021] Saving new best policy, reward=11862.650! -[2026-06-02 23:42:42,652][544093] Updated weights for policy 0, policy_version 48444 (0.0010) -[2026-06-02 23:42:44,542][544093] Updated weights for policy 0, policy_version 48507 (0.0010) -[2026-06-02 23:42:46,521][544093] Updated weights for policy 0, policy_version 48576 (0.0009) -[2026-06-02 23:42:47,357][543134] Fps is (10 sec: 16384.0, 60 sec: 17476.3, 300 sec: 17217.1). Total num frames: 24870912. Throughput: 0: 17499.0. Samples: 24857600. Policy #0 lag: (min: 63.0, avg: 69.1, max: 127.0) -[2026-06-02 23:42:47,358][543134] Avg episode reward: [(0, '11637.550')] -[2026-06-02 23:42:48,420][544093] Updated weights for policy 0, policy_version 48640 (0.0009) -[2026-06-02 23:42:50,223][544093] Updated weights for policy 0, policy_version 48703 (0.0009) -[2026-06-02 23:42:52,138][544093] Updated weights for policy 0, policy_version 48766 (0.0010) -[2026-06-02 23:42:52,357][543134] Fps is (10 sec: 18841.5, 60 sec: 17476.3, 300 sec: 17300.4). Total num frames: 24969216. Throughput: 0: 17396.6. Samples: 24963584. Policy #0 lag: (min: 63.0, avg: 69.1, max: 127.0) -[2026-06-02 23:42:52,358][543134] Avg episode reward: [(0, '12169.000')] -[2026-06-02 23:42:52,362][544021] Saving new best policy, reward=12169.000! -[2026-06-02 23:42:54,057][544093] Updated weights for policy 0, policy_version 48828 (0.0010) -[2026-06-02 23:42:55,515][544021] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 -[2026-06-02 23:42:55,517][544021] Stopping Batcher_0... -[2026-06-02 23:42:55,518][544021] Loop batcher_evt_loop terminating... -[2026-06-02 23:42:55,517][544094] Stopping RolloutWorker_w0... -[2026-06-02 23:42:55,518][544094] Loop rollout_proc0_evt_loop terminating... -[2026-06-02 23:42:55,517][543134] Component Batcher_0 stopped! -[2026-06-02 23:42:55,519][543134] Component RolloutWorker_w0 stopped! -[2026-06-02 23:42:55,599][544093] Weights refcount: 2 0 -[2026-06-02 23:42:55,600][544093] Stopping InferenceWorker_p0-w0... -[2026-06-02 23:42:55,601][544093] Loop inference_proc0-0_evt_loop terminating... -[2026-06-02 23:42:55,601][543134] Component InferenceWorker_p0-w0 stopped! -[2026-06-02 23:42:55,605][544021] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 -[2026-06-02 23:42:55,606][544021] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride5_seed14/checkpoint_p0/checkpoint_000048864_25018368.pth... -[2026-06-02 23:42:55,695][544021] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 -[2026-06-02 23:42:55,696][544021] Saving new best policy, reward=12288.300! -[2026-06-02 23:42:55,715][544021] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride5_seed14/checkpoint_p0/checkpoint_000048880_25026560.pth... -[2026-06-02 23:42:55,731][544021] Stopping LearnerWorker_p0... -[2026-06-02 23:42:55,731][544021] Loop learner_proc0_evt_loop terminating... -[2026-06-02 23:42:55,731][543134] Component LearnerWorker_p0 stopped! -[2026-06-02 23:42:55,732][543134] Waiting for process learner_proc0 to stop... -[2026-06-02 23:42:56,540][543134] Waiting for process inference_proc0-0 to join... -[2026-06-02 23:42:56,541][543134] Waiting for process rollout_proc0 to join... -[2026-06-02 23:42:56,542][543134] Batcher 0 profile tree view: -batching: 1.4266, releasing_batches: 1.6252 -[2026-06-02 23:42:56,542][543134] InferenceWorker_p0-w0 profile tree view: +[2026-06-04 12:33:25,161][525034] Using optimizer +[2026-06-04 12:33:26,288][525034] No checkpoints found +[2026-06-04 12:33:26,288][525034] Did not load from checkpoint, starting from scratch! +[2026-06-04 12:33:26,288][525034] Initialized policy 0 weights for model version 0 +[2026-06-04 12:33:26,292][525034] LearnerWorker_p0 finished initialization! +[2026-06-04 12:33:26,292][525034] Using GPUs [0] for process 0 (actually maps to GPUs [4]) +[2026-06-04 12:33:26,543][525116] 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 12:33:26,543][525116] Using GPUs [0] for process 0 (actually maps to GPUs [4]) +[2026-06-04 12:33:26,543][525116] Set environment var CUDA_VISIBLE_DEVICES to '4' (GPU indices [0]) for actor process 0 +[2026-06-04 12:33:26,543][525116] Num visible devices: 1 +[2026-06-04 12:33:26,556][525115] Using GPUs [0] for process 0 (actually maps to GPUs [4]) +[2026-06-04 12:33:26,556][525115] Set environment var CUDA_VISIBLE_DEVICES to '4' (GPU indices [0]) for inference process 0 +[2026-06-04 12:33:26,556][525115] Num visible devices: 1 +[2026-06-04 12:33:26,558][525115] RunningMeanStd input shape: (4, 84, 84) +[2026-06-04 12:33:26,589][525115] RunningMeanStd input shape: (1,) +[2026-06-04 12:33:26,597][525115] ConvEncoder: input_channels=4 +[2026-06-04 12:33:26,674][525115] Conv encoder output size: 512 +[2026-06-04 12:33:26,682][524087] Inference worker 0-0 is ready! +[2026-06-04 12:33:26,683][524087] All inference workers are ready! Signal rollout workers to start! +[2026-06-04 12:33:26,684][525116] EnvRunner 0-0 uses policy 0 +[2026-06-04 12:33:27,873][524087] 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 12:33:30,747][525034] Signal inference workers to stop experience collection... +[2026-06-04 12:33:30,793][525115] InferenceWorker_p0-w0: stopping experience collection +[2026-06-04 12:33:32,133][525034] Signal inference workers to resume experience collection... +[2026-06-04 12:33:32,134][525115] InferenceWorker_p0-w0: resuming experience collection +[2026-06-04 12:33:32,873][524087] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6553.6). Total num frames: 32768. Throughput: 0: 7680.0. Samples: 38400. Policy #0 lag: (min: 15.0, avg: 15.0, max: 15.0) +[2026-06-04 12:33:35,475][525115] Updated weights for policy 0, policy_version 112 (0.0040) +[2026-06-04 12:33:37,874][524087] Fps is (10 sec: 6553.5, 60 sec: 6553.5, 300 sec: 6553.5). Total num frames: 65536. Throughput: 0: 6963.1. Samples: 69632. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 12:33:37,875][524087] Avg episode reward: [(0, '36.000')] +[2026-06-04 12:33:38,989][525115] Updated weights for policy 0, policy_version 192 (0.0012) +[2026-06-04 12:33:42,873][524087] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8738.1). Total num frames: 131072. Throughput: 0: 8704.0. Samples: 130560. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:33:42,874][524087] Avg episode reward: [(0, '50.000')] +[2026-06-04 12:33:42,877][525034] Saving new best policy, reward=50.000! +[2026-06-04 12:33:43,112][524087] Heartbeat connected on Batcher_0 +[2026-06-04 12:33:43,116][524087] Heartbeat connected on LearnerWorker_p0 +[2026-06-04 12:33:43,156][524087] Heartbeat connected on InferenceWorker_p0-w0 +[2026-06-04 12:33:43,166][524087] Heartbeat connected on RolloutWorker_w0 +[2026-06-04 12:33:45,619][525115] Updated weights for policy 0, policy_version 309 (0.0012) +[2026-06-04 12:33:47,874][524087] Fps is (10 sec: 9830.4, 60 sec: 8191.9, 300 sec: 8191.9). Total num frames: 163840. Throughput: 0: 9292.7. Samples: 185856. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-04 12:33:47,875][524087] Avg episode reward: [(0, '60.128')] +[2026-06-04 12:33:47,879][525034] Saving new best policy, reward=60.128! +[2026-06-04 12:33:52,654][525115] Updated weights for policy 0, policy_version 400 (0.0012) +[2026-06-04 12:33:52,873][524087] Fps is (10 sec: 8192.0, 60 sec: 8519.7, 300 sec: 8519.7). Total num frames: 212992. Throughput: 0: 8499.2. Samples: 212480. Policy #0 lag: (min: 13.0, avg: 15.8, max: 77.0) +[2026-06-04 12:33:52,874][524087] Avg episode reward: [(0, '82.100')] +[2026-06-04 12:33:53,110][525034] Saving new best policy, reward=82.100! +[2026-06-04 12:33:56,784][525115] Updated weights for policy 0, policy_version 509 (0.0010) +[2026-06-04 12:33:57,874][524087] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8738.1). Total num frames: 262144. Throughput: 0: 8823.4. Samples: 264704. Policy #0 lag: (min: 11.0, avg: 13.7, max: 75.0) +[2026-06-04 12:33:57,874][524087] Avg episode reward: [(0, '107.350')] +[2026-06-04 12:33:57,879][525034] Saving new best policy, reward=107.350! +[2026-06-04 12:34:02,874][524087] Fps is (10 sec: 8191.8, 60 sec: 8426.0, 300 sec: 8426.0). Total num frames: 294912. Throughput: 0: 9113.5. Samples: 318976. Policy #0 lag: (min: 8.0, avg: 10.7, max: 72.0) +[2026-06-04 12:34:02,875][524087] Avg episode reward: [(0, '117.400')] +[2026-06-04 12:34:02,880][525034] Saving new best policy, reward=117.400! +[2026-06-04 12:34:04,014][525115] Updated weights for policy 0, policy_version 624 (0.0012) +[2026-06-04 12:34:07,874][524087] Fps is (10 sec: 9011.1, 60 sec: 8806.4, 300 sec: 8806.4). Total num frames: 352256. Throughput: 0: 8627.2. Samples: 345088. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-04 12:34:07,875][524087] Avg episode reward: [(0, '122.700')] +[2026-06-04 12:34:07,914][525034] Saving new best policy, reward=122.700! +[2026-06-04 12:34:11,133][525115] Updated weights for policy 0, policy_version 720 (0.0012) +[2026-06-04 12:34:12,874][524087] Fps is (10 sec: 9830.6, 60 sec: 8738.1, 300 sec: 8738.1). Total num frames: 393216. Throughput: 0: 8840.5. Samples: 397824. Policy #0 lag: (min: 10.0, avg: 12.8, max: 74.0) +[2026-06-04 12:34:12,875][524087] Avg episode reward: [(0, '138.000')] +[2026-06-04 12:34:12,880][525034] Saving new best policy, reward=138.000! +[2026-06-04 12:34:15,106][525115] Updated weights for policy 0, policy_version 827 (0.0012) +[2026-06-04 12:34:17,874][524087] Fps is (10 sec: 7372.8, 60 sec: 8519.6, 300 sec: 8519.6). Total num frames: 425984. Throughput: 0: 9227.3. Samples: 453632. Policy #0 lag: (min: 0.0, avg: 2.7, max: 64.0) +[2026-06-04 12:34:17,874][524087] Avg episode reward: [(0, '150.550')] +[2026-06-04 12:34:17,879][525034] Saving new best policy, reward=150.550! +[2026-06-04 12:34:21,983][525115] Updated weights for policy 0, policy_version 912 (0.0014) +[2026-06-04 12:34:22,874][524087] Fps is (10 sec: 9830.3, 60 sec: 8936.7, 300 sec: 8936.7). Total num frames: 491520. Throughput: 0: 9136.3. Samples: 480768. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 12:34:22,875][524087] Avg episode reward: [(0, '164.700')] +[2026-06-04 12:34:22,880][525034] Saving new best policy, reward=164.700! +[2026-06-04 12:34:25,918][525115] Updated weights for policy 0, policy_version 1011 (0.0014) +[2026-06-04 12:34:27,873][524087] Fps is (10 sec: 9830.6, 60 sec: 8738.1, 300 sec: 8738.1). Total num frames: 524288. Throughput: 0: 8977.1. Samples: 534528. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 12:34:27,874][524087] Avg episode reward: [(0, '170.300')] +[2026-06-04 12:34:27,879][525034] Saving new best policy, reward=170.300! +[2026-06-04 12:34:29,350][525034] Signal inference workers to stop experience collection... (50 times) +[2026-06-04 12:34:29,382][525115] InferenceWorker_p0-w0: stopping experience collection (50 times) +[2026-06-04 12:34:29,467][525034] Signal inference workers to resume experience collection... (50 times) +[2026-06-04 12:34:29,468][525115] InferenceWorker_p0-w0: resuming experience collection (50 times) +[2026-06-04 12:34:32,614][525115] Updated weights for policy 0, policy_version 1104 (0.0012) +[2026-06-04 12:34:32,874][524087] Fps is (10 sec: 9011.3, 60 sec: 9147.7, 300 sec: 8948.2). Total num frames: 581632. Throughput: 0: 8999.8. Samples: 590848. Policy #0 lag: (min: 5.0, avg: 8.5, max: 69.0) +[2026-06-04 12:34:32,874][524087] Avg episode reward: [(0, '166.350')] +[2026-06-04 12:34:36,426][525115] Updated weights for policy 0, policy_version 1205 (0.0011) +[2026-06-04 12:34:37,874][524087] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8894.2). Total num frames: 622592. Throughput: 0: 9079.5. Samples: 621056. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:34:37,875][524087] Avg episode reward: [(0, '173.200')] +[2026-06-04 12:34:37,879][525034] Saving new best policy, reward=173.200! +[2026-06-04 12:34:42,873][524087] Fps is (10 sec: 7372.8, 60 sec: 8738.1, 300 sec: 8738.1). Total num frames: 655360. Throughput: 0: 9079.5. Samples: 673280. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 12:34:42,874][524087] Avg episode reward: [(0, '169.500')] +[2026-06-04 12:34:43,423][525115] Updated weights for policy 0, policy_version 1296 (0.0011) +[2026-06-04 12:34:47,271][525115] Updated weights for policy 0, policy_version 1397 (0.0010) +[2026-06-04 12:34:47,874][524087] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9011.2). Total num frames: 720896. Throughput: 0: 9068.1. Samples: 727040. Policy #0 lag: (min: 2.0, avg: 4.9, max: 66.0) +[2026-06-04 12:34:47,874][524087] Avg episode reward: [(0, '158.950')] +[2026-06-04 12:34:52,873][524087] Fps is (10 sec: 9830.4, 60 sec: 9011.2, 300 sec: 8866.6). Total num frames: 753664. Throughput: 0: 9090.9. Samples: 754176. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 12:34:52,874][524087] Avg episode reward: [(0, '171.300')] +[2026-06-04 12:34:54,707][525115] Updated weights for policy 0, policy_version 1504 (0.0010) +[2026-06-04 12:34:57,873][524087] Fps is (10 sec: 6553.7, 60 sec: 8738.2, 300 sec: 8738.1). Total num frames: 786432. Throughput: 0: 9068.1. Samples: 805888. Policy #0 lag: (min: 7.0, avg: 9.7, max: 71.0) +[2026-06-04 12:34:57,874][524087] Avg episode reward: [(0, '187.500')] +[2026-06-04 12:34:57,879][525034] Saving new best policy, reward=187.500! +[2026-06-04 12:34:58,690][525115] Updated weights for policy 0, policy_version 1585 (0.0013) +[2026-06-04 12:35:02,366][525115] Updated weights for policy 0, policy_version 1661 (0.0011) +[2026-06-04 12:35:02,874][524087] Fps is (10 sec: 9830.3, 60 sec: 9284.3, 300 sec: 8968.1). Total num frames: 851968. Throughput: 0: 9022.6. Samples: 859648. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:35:02,874][524087] Avg episode reward: [(0, '190.900')] +[2026-06-04 12:35:02,879][525034] Saving new best policy, reward=190.900! +[2026-06-04 12:35:07,873][524087] Fps is (10 sec: 9830.3, 60 sec: 8874.7, 300 sec: 8847.4). Total num frames: 884736. Throughput: 0: 9011.2. Samples: 886272. Policy #0 lag: (min: 7.0, avg: 10.6, max: 71.0) +[2026-06-04 12:35:07,874][524087] Avg episode reward: [(0, '191.600')] +[2026-06-04 12:35:07,881][525034] Saving new best policy, reward=191.600! +[2026-06-04 12:35:09,227][525115] Updated weights for policy 0, policy_version 1760 (0.0012) +[2026-06-04 12:35:12,873][524087] Fps is (10 sec: 7372.9, 60 sec: 8874.7, 300 sec: 8816.2). Total num frames: 925696. Throughput: 0: 9045.4. Samples: 941568. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 12:35:12,874][524087] Avg episode reward: [(0, '195.450')] +[2026-06-04 12:35:13,044][525034] Saving new best policy, reward=195.450! +[2026-06-04 12:35:13,319][525115] Updated weights for policy 0, policy_version 1856 (0.0012) +[2026-06-04 12:35:17,873][524087] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 8936.7). Total num frames: 983040. Throughput: 0: 8942.9. Samples: 993280. Policy #0 lag: (min: 10.0, avg: 13.0, max: 74.0) +[2026-06-04 12:35:17,874][524087] Avg episode reward: [(0, '197.100')] +[2026-06-04 12:35:17,878][525034] Saving new best policy, reward=197.100! +[2026-06-04 12:35:20,656][525115] Updated weights for policy 0, policy_version 1973 (0.0012) +[2026-06-04 12:35:22,874][524087] Fps is (10 sec: 9011.0, 60 sec: 8738.1, 300 sec: 8833.1). Total num frames: 1015808. Throughput: 0: 8829.2. Samples: 1018368. Policy #0 lag: (min: 2.0, avg: 4.7, max: 66.0) +[2026-06-04 12:35:22,874][524087] Avg episode reward: [(0, '176.650')] +[2026-06-04 12:35:27,874][524087] Fps is (10 sec: 7372.7, 60 sec: 8874.7, 300 sec: 8806.4). Total num frames: 1056768. Throughput: 0: 8863.3. Samples: 1072128. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-04 12:35:27,874][524087] Avg episode reward: [(0, '174.600')] +[2026-06-04 12:35:27,929][525115] Updated weights for policy 0, policy_version 2080 (0.0013) +[2026-06-04 12:35:31,481][525034] Signal inference workers to stop experience collection... (100 times) +[2026-06-04 12:35:31,515][525115] InferenceWorker_p0-w0: stopping experience collection (100 times) +[2026-06-04 12:35:31,583][525034] Signal inference workers to resume experience collection... (100 times) +[2026-06-04 12:35:31,584][525115] InferenceWorker_p0-w0: resuming experience collection (100 times) +[2026-06-04 12:35:31,869][525115] Updated weights for policy 0, policy_version 2174 (0.0016) +[2026-06-04 12:35:32,874][524087] Fps is (10 sec: 9830.4, 60 sec: 8874.7, 300 sec: 8912.9). Total num frames: 1114112. Throughput: 0: 8840.5. Samples: 1124864. Policy #0 lag: (min: 5.0, avg: 7.8, max: 69.0) +[2026-06-04 12:35:32,874][524087] Avg episode reward: [(0, '182.450')] +[2026-06-04 12:35:37,873][524087] Fps is (10 sec: 9011.3, 60 sec: 8738.1, 300 sec: 8822.2). Total num frames: 1146880. Throughput: 0: 8840.5. Samples: 1152000. Policy #0 lag: (min: 12.0, avg: 14.7, max: 76.0) +[2026-06-04 12:35:37,874][524087] Avg episode reward: [(0, '192.900')] +[2026-06-04 12:35:39,101][525115] Updated weights for policy 0, policy_version 2288 (0.0014) +[2026-06-04 12:35:42,873][524087] Fps is (10 sec: 9011.2, 60 sec: 9147.7, 300 sec: 8920.2). Total num frames: 1204224. Throughput: 0: 8908.8. Samples: 1206784. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-04 12:35:42,874][524087] Avg episode reward: [(0, '199.400')] +[2026-06-04 12:35:42,933][525034] Saving new best policy, reward=199.400! +[2026-06-04 12:35:42,937][525115] Updated weights for policy 0, policy_version 2368 (0.0013) +[2026-06-04 12:35:47,874][524087] Fps is (10 sec: 9830.3, 60 sec: 8738.1, 300 sec: 8894.2). Total num frames: 1245184. Throughput: 0: 8942.9. Samples: 1262080. Policy #0 lag: (min: 30.0, avg: 33.5, max: 94.0) +[2026-06-04 12:35:47,874][524087] Avg episode reward: [(0, '210.600')] +[2026-06-04 12:35:47,880][525034] Saving new best policy, reward=210.600! +[2026-06-04 12:35:49,821][525115] Updated weights for policy 0, policy_version 2483 (0.0013) +[2026-06-04 12:35:52,873][524087] Fps is (10 sec: 7372.9, 60 sec: 8738.1, 300 sec: 8813.5). Total num frames: 1277952. Throughput: 0: 8943.0. Samples: 1288704. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 12:35:52,874][524087] Avg episode reward: [(0, '222.950')] +[2026-06-04 12:35:52,877][525034] Saving new best policy, reward=222.950! +[2026-06-04 12:35:53,507][525115] Updated weights for policy 0, policy_version 2558 (0.0011) +[2026-06-04 12:35:57,873][524087] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 8956.6). Total num frames: 1343488. Throughput: 0: 8965.7. Samples: 1345024. Policy #0 lag: (min: 47.0, avg: 50.8, max: 111.0) +[2026-06-04 12:35:57,874][524087] Avg episode reward: [(0, '201.800')] +[2026-06-04 12:36:00,147][525115] Updated weights for policy 0, policy_version 2656 (0.0015) +[2026-06-04 12:36:02,874][524087] Fps is (10 sec: 9830.2, 60 sec: 8738.1, 300 sec: 8879.1). Total num frames: 1376256. Throughput: 0: 9102.2. Samples: 1402880. Policy #0 lag: (min: 63.0, avg: 65.8, max: 127.0) +[2026-06-04 12:36:02,875][524087] Avg episode reward: [(0, '194.400')] +[2026-06-04 12:36:03,865][525115] Updated weights for policy 0, policy_version 2751 (0.0013) +[2026-06-04 12:36:07,873][524087] Fps is (10 sec: 9830.3, 60 sec: 9284.3, 300 sec: 9011.2). Total num frames: 1441792. Throughput: 0: 9204.6. Samples: 1432576. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0) +[2026-06-04 12:36:07,874][524087] Avg episode reward: [(0, '181.500')] +[2026-06-04 12:36:10,545][525115] Updated weights for policy 0, policy_version 2848 (0.0012) +[2026-06-04 12:36:12,873][524087] Fps is (10 sec: 9830.5, 60 sec: 9147.7, 300 sec: 8936.7). Total num frames: 1474560. Throughput: 0: 9216.0. Samples: 1486848. Policy #0 lag: (min: 45.0, avg: 47.9, max: 109.0) +[2026-06-04 12:36:12,874][524087] Avg episode reward: [(0, '198.050')] +[2026-06-04 12:36:14,637][525115] Updated weights for policy 0, policy_version 2944 (0.0010) +[2026-06-04 12:36:17,874][524087] Fps is (10 sec: 9011.2, 60 sec: 9147.7, 300 sec: 9011.2). Total num frames: 1531904. Throughput: 0: 9250.1. Samples: 1541120. Policy #0 lag: (min: 63.0, avg: 65.7, max: 127.0) +[2026-06-04 12:36:17,874][524087] Avg episode reward: [(0, '230.000')] +[2026-06-04 12:36:17,998][525034] Saving new best policy, reward=230.000! +[2026-06-04 12:36:21,554][525115] Updated weights for policy 0, policy_version 3062 (0.0014) +[2026-06-04 12:36:22,873][524087] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 8987.8). Total num frames: 1572864. Throughput: 0: 9284.3. Samples: 1569792. Policy #0 lag: (min: 0.0, avg: 2.7, max: 64.0) +[2026-06-04 12:36:22,874][524087] Avg episode reward: [(0, '241.400')] +[2026-06-04 12:36:22,877][525034] Saving new best policy, reward=241.400! +[2026-06-04 12:36:25,360][525115] Updated weights for policy 0, policy_version 3136 (0.0011) +[2026-06-04 12:36:27,874][524087] Fps is (10 sec: 7372.8, 60 sec: 9147.7, 300 sec: 8920.2). Total num frames: 1605632. Throughput: 0: 9284.3. Samples: 1624576. Policy #0 lag: (min: 47.0, avg: 49.7, max: 111.0) +[2026-06-04 12:36:27,874][524087] Avg episode reward: [(0, '248.050')] +[2026-06-04 12:36:27,878][525034] Saving new best policy, reward=248.050! +[2026-06-04 12:36:31,714][525034] Signal inference workers to stop experience collection... (150 times) +[2026-06-04 12:36:31,743][525115] InferenceWorker_p0-w0: stopping experience collection (150 times) +[2026-06-04 12:36:31,871][525034] Signal inference workers to resume experience collection... (150 times) +[2026-06-04 12:36:31,871][525115] InferenceWorker_p0-w0: resuming experience collection (150 times) +[2026-06-04 12:36:31,873][525115] Updated weights for policy 0, policy_version 3216 (0.0011) +[2026-06-04 12:36:32,873][524087] Fps is (10 sec: 9830.3, 60 sec: 9284.3, 300 sec: 9033.3). Total num frames: 1671168. Throughput: 0: 9272.9. Samples: 1679360. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:36:32,874][524087] Avg episode reward: [(0, '218.850')] +[2026-06-04 12:36:35,709][525115] Updated weights for policy 0, policy_version 3315 (0.0012) +[2026-06-04 12:36:37,874][524087] Fps is (10 sec: 9830.4, 60 sec: 9284.2, 300 sec: 8968.1). Total num frames: 1703936. Throughput: 0: 9284.2. Samples: 1706496. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:36:37,875][524087] Avg episode reward: [(0, '203.350')] +[2026-06-04 12:36:42,446][525115] Updated weights for policy 0, policy_version 3408 (0.0010) +[2026-06-04 12:36:42,874][524087] Fps is (10 sec: 9011.1, 60 sec: 9284.3, 300 sec: 9032.2). Total num frames: 1761280. Throughput: 0: 9307.0. Samples: 1763840. Policy #0 lag: (min: 10.0, avg: 12.8, max: 74.0) +[2026-06-04 12:36:42,874][524087] Avg episode reward: [(0, '203.300')] +[2026-06-04 12:36:46,462][525115] Updated weights for policy 0, policy_version 3515 (0.0012) +[2026-06-04 12:36:47,873][524087] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9011.2). Total num frames: 1802240. Throughput: 0: 9204.6. Samples: 1817088. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 12:36:47,874][524087] Avg episode reward: [(0, '206.300')] +[2026-06-04 12:36:50,118][525115] Updated weights for policy 0, policy_version 3584 (0.0010) +[2026-06-04 12:36:52,874][524087] Fps is (10 sec: 7372.8, 60 sec: 9284.2, 300 sec: 8951.3). Total num frames: 1835008. Throughput: 0: 9170.5. Samples: 1845248. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 12:36:52,875][524087] Avg episode reward: [(0, '224.450')] +[2026-06-04 12:36:56,848][525115] Updated weights for policy 0, policy_version 3696 (0.0011) +[2026-06-04 12:36:57,874][524087] Fps is (10 sec: 9830.3, 60 sec: 9284.2, 300 sec: 9050.2). Total num frames: 1900544. Throughput: 0: 9216.0. Samples: 1901568. Policy #0 lag: (min: 10.0, avg: 13.5, max: 74.0) +[2026-06-04 12:36:57,875][524087] Avg episode reward: [(0, '217.950')] +[2026-06-04 12:37:00,596][525115] Updated weights for policy 0, policy_version 3776 (0.0010) +[2026-06-04 12:37:02,873][524087] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 8992.1). Total num frames: 1933312. Throughput: 0: 9250.1. Samples: 1957376. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:37:02,874][524087] Avg episode reward: [(0, '230.700')] +[2026-06-04 12:37:07,241][525115] Updated weights for policy 0, policy_version 3872 (0.0008) +[2026-06-04 12:37:07,873][524087] Fps is (10 sec: 9830.6, 60 sec: 9284.3, 300 sec: 9085.7). Total num frames: 1998848. Throughput: 0: 9261.5. Samples: 1986560. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:37:07,874][524087] Avg episode reward: [(0, '238.450')] +[2026-06-04 12:37:10,991][525115] Updated weights for policy 0, policy_version 3960 (0.0010) +[2026-06-04 12:37:12,873][524087] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9029.4). Total num frames: 2031616. Throughput: 0: 9261.5. Samples: 2041344. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:37:12,875][524087] Avg episode reward: [(0, '249.550')] +[2026-06-04 12:37:12,880][525034] Saving new best policy, reward=249.550! +[2026-06-04 12:37:17,541][525115] Updated weights for policy 0, policy_version 4048 (0.0013) +[2026-06-04 12:37:17,874][524087] Fps is (10 sec: 9011.1, 60 sec: 9284.3, 300 sec: 9082.4). Total num frames: 2088960. Throughput: 0: 9318.4. Samples: 2098688. Policy #0 lag: (min: 1.0, avg: 3.9, max: 65.0) +[2026-06-04 12:37:17,874][524087] Avg episode reward: [(0, '247.650')] +[2026-06-04 12:37:21,545][525115] Updated weights for policy 0, policy_version 4155 (0.0012) +[2026-06-04 12:37:22,873][524087] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9063.5). Total num frames: 2129920. Throughput: 0: 9352.5. Samples: 2127360. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 12:37:22,874][524087] Avg episode reward: [(0, '270.350')] +[2026-06-04 12:37:22,878][525034] Saving new best policy, reward=270.350! +[2026-06-04 12:37:27,873][524087] Fps is (10 sec: 7372.9, 60 sec: 9284.3, 300 sec: 9011.2). Total num frames: 2162688. Throughput: 0: 9284.3. Samples: 2181632. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 12:37:27,874][524087] Avg episode reward: [(0, '254.350')] +[2026-06-04 12:37:28,450][525034] Signal inference workers to stop experience collection... (200 times) +[2026-06-04 12:37:28,450][525115] Updated weights for policy 0, policy_version 4256 (0.0012) +[2026-06-04 12:37:28,482][525115] InferenceWorker_p0-w0: stopping experience collection (200 times) +[2026-06-04 12:37:28,568][525034] Signal inference workers to resume experience collection... (200 times) +[2026-06-04 12:37:28,569][525115] InferenceWorker_p0-w0: resuming experience collection (200 times) +[2026-06-04 12:37:32,123][525115] Updated weights for policy 0, policy_version 4345 (0.0011) +[2026-06-04 12:37:32,874][524087] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9094.8). Total num frames: 2228224. Throughput: 0: 9329.8. Samples: 2236928. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 12:37:32,874][524087] Avg episode reward: [(0, '227.300')] +[2026-06-04 12:37:37,874][524087] Fps is (10 sec: 9830.3, 60 sec: 9284.3, 300 sec: 9044.0). Total num frames: 2260992. Throughput: 0: 9272.9. Samples: 2262528. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-04 12:37:37,875][524087] Avg episode reward: [(0, '247.000')] +[2026-06-04 12:37:39,167][525115] Updated weights for policy 0, policy_version 4448 (0.0011) +[2026-06-04 12:37:42,874][524087] Fps is (10 sec: 9011.2, 60 sec: 9284.3, 300 sec: 9091.5). Total num frames: 2318336. Throughput: 0: 9307.1. Samples: 2320384. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:37:42,875][524087] Avg episode reward: [(0, '270.150')] +[2026-06-04 12:37:42,967][525115] Updated weights for policy 0, policy_version 4540 (0.0012) +[2026-06-04 12:37:47,873][524087] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 9074.2). Total num frames: 2359296. Throughput: 0: 9307.0. Samples: 2376192. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:37:47,874][524087] Avg episode reward: [(0, '268.750')] +[2026-06-04 12:37:49,801][525115] Updated weights for policy 0, policy_version 4656 (0.0010) +[2026-06-04 12:37:52,873][524087] Fps is (10 sec: 7372.9, 60 sec: 9284.3, 300 sec: 9026.7). Total num frames: 2392064. Throughput: 0: 9250.1. Samples: 2402816. Policy #0 lag: (min: 14.0, avg: 16.7, max: 78.0) +[2026-06-04 12:37:52,874][524087] Avg episode reward: [(0, '278.350')] +[2026-06-04 12:37:52,878][525034] Saving new best policy, reward=278.350! +[2026-06-04 12:37:53,558][525115] Updated weights for policy 0, policy_version 4730 (0.0011) +[2026-06-04 12:37:57,874][524087] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9102.2). Total num frames: 2457600. Throughput: 0: 9261.5. Samples: 2458112. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 12:37:57,875][524087] Avg episode reward: [(0, '312.100')] +[2026-06-04 12:37:57,880][525034] Saving new best policy, reward=312.100! +[2026-06-04 12:38:00,276][525115] Updated weights for policy 0, policy_version 4832 (0.0013) +[2026-06-04 12:38:02,873][524087] Fps is (10 sec: 9830.3, 60 sec: 9284.3, 300 sec: 9055.9). Total num frames: 2490368. Throughput: 0: 9272.9. Samples: 2515968. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 12:38:02,874][524087] Avg episode reward: [(0, '319.000')] +[2026-06-04 12:38:02,879][525034] Saving new best policy, reward=319.000! +[2026-06-04 12:38:04,023][525115] Updated weights for policy 0, policy_version 4924 (0.0011) +[2026-06-04 12:38:07,874][524087] Fps is (10 sec: 9830.4, 60 sec: 9284.2, 300 sec: 9128.2). Total num frames: 2555904. Throughput: 0: 9272.9. Samples: 2544640. Policy #0 lag: (min: 7.0, avg: 9.9, max: 71.0) +[2026-06-04 12:38:07,875][524087] Avg episode reward: [(0, '340.000')] +[2026-06-04 12:38:07,880][525034] Saving new best policy, reward=340.000! +[2026-06-04 12:38:10,526][525115] Updated weights for policy 0, policy_version 5008 (0.0010) +[2026-06-04 12:38:12,874][524087] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9083.1). Total num frames: 2588672. Throughput: 0: 9295.6. Samples: 2599936. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 12:38:12,874][524087] Avg episode reward: [(0, '332.250')] +[2026-06-04 12:38:14,180][525115] Updated weights for policy 0, policy_version 5104 (0.0012) +[2026-06-04 12:38:17,873][524087] Fps is (10 sec: 9830.5, 60 sec: 9420.8, 300 sec: 9152.4). Total num frames: 2654208. Throughput: 0: 9329.8. Samples: 2656768. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-04 12:38:17,874][524087] Avg episode reward: [(0, '345.000')] +[2026-06-04 12:38:17,878][525034] Saving new best policy, reward=345.000! +[2026-06-04 12:38:17,885][525115] Updated weights for policy 0, policy_version 5184 (0.0013) +[2026-06-04 12:38:22,874][524087] Fps is (10 sec: 9830.3, 60 sec: 9284.2, 300 sec: 9108.4). Total num frames: 2686976. Throughput: 0: 9420.8. Samples: 2686464. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-04 12:38:22,874][524087] Avg episode reward: [(0, '352.750')] +[2026-06-04 12:38:22,884][525034] Saving new best policy, reward=352.750! +[2026-06-04 12:38:24,551][525115] Updated weights for policy 0, policy_version 5296 (0.0011) +[2026-06-04 12:38:27,751][525034] Signal inference workers to stop experience collection... (250 times) +[2026-06-04 12:38:27,781][525115] InferenceWorker_p0-w0: stopping experience collection (250 times) +[2026-06-04 12:38:27,856][525034] Signal inference workers to resume experience collection... (250 times) +[2026-06-04 12:38:27,856][525115] InferenceWorker_p0-w0: resuming experience collection (250 times) +[2026-06-04 12:38:27,874][524087] Fps is (10 sec: 8191.9, 60 sec: 9557.3, 300 sec: 9163.9). Total num frames: 2736128. Throughput: 0: 9386.7. Samples: 2742784. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 12:38:27,875][524087] Avg episode reward: [(0, '363.100')] +[2026-06-04 12:38:28,169][525034] Saving new best policy, reward=363.100! +[2026-06-04 12:38:31,044][525115] Updated weights for policy 0, policy_version 5377 (0.0013) +[2026-06-04 12:38:32,874][524087] Fps is (10 sec: 9830.3, 60 sec: 9284.2, 300 sec: 9219.5). Total num frames: 2785280. Throughput: 0: 9443.5. Samples: 2801152. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:38:32,875][524087] Avg episode reward: [(0, '316.750')] +[2026-06-04 12:38:34,724][525115] Updated weights for policy 0, policy_version 5488 (0.0011) +[2026-06-04 12:38:37,874][524087] Fps is (10 sec: 9011.1, 60 sec: 9420.8, 300 sec: 9136.2). Total num frames: 2826240. Throughput: 0: 9511.8. Samples: 2830848. Policy #0 lag: (min: 5.0, avg: 8.5, max: 69.0) +[2026-06-04 12:38:37,875][524087] Avg episode reward: [(0, '353.600')] +[2026-06-04 12:38:38,355][525115] Updated weights for policy 0, policy_version 5568 (0.0012) +[2026-06-04 12:38:42,873][524087] Fps is (10 sec: 9830.7, 60 sec: 9420.8, 300 sec: 9219.5). Total num frames: 2883584. Throughput: 0: 9511.9. Samples: 2886144. Policy #0 lag: (min: 5.0, avg: 8.5, max: 69.0) +[2026-06-04 12:38:42,874][524087] Avg episode reward: [(0, '408.950')] +[2026-06-04 12:38:42,878][525034] Saving new best policy, reward=408.950! +[2026-06-04 12:38:44,893][525115] Updated weights for policy 0, policy_version 5664 (0.0012) +[2026-06-04 12:38:47,873][524087] Fps is (10 sec: 9011.3, 60 sec: 9284.3, 300 sec: 9163.9). Total num frames: 2916352. Throughput: 0: 9534.6. Samples: 2945024. Policy #0 lag: (min: 5.0, avg: 8.6, max: 69.0) +[2026-06-04 12:38:47,874][524087] Avg episode reward: [(0, '417.850')] +[2026-06-04 12:38:47,877][525034] Saving new best policy, reward=417.850! +[2026-06-04 12:38:48,538][525115] Updated weights for policy 0, policy_version 5752 (0.0012) +[2026-06-04 12:38:52,098][525115] Updated weights for policy 0, policy_version 5823 (0.0012) +[2026-06-04 12:38:52,874][524087] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9219.5). Total num frames: 2981888. Throughput: 0: 9557.3. Samples: 2974720. Policy #0 lag: (min: 1.0, avg: 3.9, max: 65.0) +[2026-06-04 12:38:52,875][524087] Avg episode reward: [(0, '405.900')] +[2026-06-04 12:38:57,874][524087] Fps is (10 sec: 9830.2, 60 sec: 9284.3, 300 sec: 9219.5). Total num frames: 3014656. Throughput: 0: 9602.8. Samples: 3032064. Policy #0 lag: (min: 1.0, avg: 3.9, max: 65.0) +[2026-06-04 12:38:57,875][524087] Avg episode reward: [(0, '452.550')] +[2026-06-04 12:38:57,878][525034] Saving new best policy, reward=452.550! +[2026-06-04 12:38:58,563][525115] Updated weights for policy 0, policy_version 5920 (0.0010) +[2026-06-04 12:39:02,162][525115] Updated weights for policy 0, policy_version 6010 (0.0012) +[2026-06-04 12:39:02,873][524087] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9247.2). Total num frames: 3080192. Throughput: 0: 9602.9. Samples: 3088896. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 12:39:02,874][524087] Avg episode reward: [(0, '458.050')] +[2026-06-04 12:39:02,877][525034] Saving new best policy, reward=458.050! +[2026-06-04 12:39:07,873][524087] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 9219.5). Total num frames: 3112960. Throughput: 0: 9602.9. Samples: 3118592. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:39:07,874][524087] Avg episode reward: [(0, '432.500')] +[2026-06-04 12:39:08,539][525115] Updated weights for policy 0, policy_version 6112 (0.0013) +[2026-06-04 12:39:12,232][525115] Updated weights for policy 0, policy_version 6208 (0.0013) +[2026-06-04 12:39:12,873][524087] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9330.6). Total num frames: 3178496. Throughput: 0: 9693.9. Samples: 3179008. Policy #0 lag: (min: 2.0, avg: 4.7, max: 66.0) +[2026-06-04 12:39:12,874][524087] Avg episode reward: [(0, '464.700')] +[2026-06-04 12:39:12,877][525034] Saving new best policy, reward=464.700! +[2026-06-04 12:39:17,874][524087] Fps is (10 sec: 9830.4, 60 sec: 9284.2, 300 sec: 9219.5). Total num frames: 3211264. Throughput: 0: 9682.5. Samples: 3236864. Policy #0 lag: (min: 2.0, avg: 4.7, max: 66.0) +[2026-06-04 12:39:17,874][524087] Avg episode reward: [(0, '474.650')] +[2026-06-04 12:39:17,879][525034] Saving new best policy, reward=474.650! +[2026-06-04 12:39:18,677][525115] Updated weights for policy 0, policy_version 6304 (0.0013) +[2026-06-04 12:39:22,152][525115] Updated weights for policy 0, policy_version 6394 (0.0015) +[2026-06-04 12:39:22,873][524087] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9330.5). Total num frames: 3276800. Throughput: 0: 9682.5. Samples: 3266560. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:39:22,874][524087] Avg episode reward: [(0, '518.950')] +[2026-06-04 12:39:22,879][525034] Saving new best policy, reward=518.950! +[2026-06-04 12:39:25,134][525034] Signal inference workers to stop experience collection... (300 times) +[2026-06-04 12:39:25,160][525115] InferenceWorker_p0-w0: stopping experience collection (300 times) +[2026-06-04 12:39:25,271][525034] Signal inference workers to resume experience collection... (300 times) +[2026-06-04 12:39:25,272][525115] InferenceWorker_p0-w0: resuming experience collection (300 times) +[2026-06-04 12:39:27,873][524087] Fps is (10 sec: 9830.6, 60 sec: 9557.4, 300 sec: 9247.2). Total num frames: 3309568. Throughput: 0: 9739.4. Samples: 3324416. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:39:27,874][524087] Avg episode reward: [(0, '539.000')] +[2026-06-04 12:39:27,877][525034] Saving new best policy, reward=539.000! +[2026-06-04 12:39:28,536][525115] Updated weights for policy 0, policy_version 6480 (0.0014) +[2026-06-04 12:39:32,190][525115] Updated weights for policy 0, policy_version 6579 (0.0010) +[2026-06-04 12:39:32,873][524087] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9330.6). Total num frames: 3375104. Throughput: 0: 9728.0. Samples: 3382784. Policy #0 lag: (min: 3.0, avg: 5.9, max: 67.0) +[2026-06-04 12:39:32,874][524087] Avg episode reward: [(0, '573.400')] +[2026-06-04 12:39:32,878][525034] Saving new best policy, reward=573.400! +[2026-06-04 12:39:37,873][524087] Fps is (10 sec: 9830.3, 60 sec: 9693.9, 300 sec: 9330.5). Total num frames: 3407872. Throughput: 0: 9716.6. Samples: 3411968. Policy #0 lag: (min: 3.0, avg: 5.9, max: 67.0) +[2026-06-04 12:39:37,874][524087] Avg episode reward: [(0, '576.700')] +[2026-06-04 12:39:37,877][525034] Saving new best policy, reward=576.700! +[2026-06-04 12:39:38,482][525115] Updated weights for policy 0, policy_version 6672 (0.0011) +[2026-06-04 12:39:42,220][525115] Updated weights for policy 0, policy_version 6768 (0.0013) +[2026-06-04 12:39:42,874][524087] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9330.5). Total num frames: 3473408. Throughput: 0: 9796.3. Samples: 3472896. Policy #0 lag: (min: 4.0, avg: 6.7, max: 68.0) +[2026-06-04 12:39:42,875][524087] Avg episode reward: [(0, '608.550')] +[2026-06-04 12:39:42,879][525034] Saving new best policy, reward=608.550! +[2026-06-04 12:39:47,873][524087] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9330.5). Total num frames: 3506176. Throughput: 0: 9807.6. Samples: 3530240. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 12:39:47,874][524087] Avg episode reward: [(0, '595.100')] +[2026-06-04 12:39:48,701][525115] Updated weights for policy 0, policy_version 6864 (0.0011) +[2026-06-04 12:39:52,511][525115] Updated weights for policy 0, policy_version 6963 (0.0010) +[2026-06-04 12:39:52,873][524087] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 3571712. Throughput: 0: 9784.9. Samples: 3558912. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:39:52,874][524087] Avg episode reward: [(0, '566.000')] +[2026-06-04 12:39:55,930][525115] Updated weights for policy 0, policy_version 7036 (0.0011) +[2026-06-04 12:39:57,874][524087] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9330.5). Total num frames: 3604480. Throughput: 0: 9716.6. Samples: 3616256. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:39:57,874][524087] Avg episode reward: [(0, '609.850')] +[2026-06-04 12:39:57,879][525034] Saving new best policy, reward=609.850! +[2026-06-04 12:40:02,378][525115] Updated weights for policy 0, policy_version 7136 (0.0014) +[2026-06-04 12:40:02,874][524087] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 3670016. Throughput: 0: 9716.6. Samples: 3674112. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 12:40:02,874][524087] Avg episode reward: [(0, '663.000')] +[2026-06-04 12:40:02,877][525034] Saving new best policy, reward=663.000! +[2026-06-04 12:40:05,717][525115] Updated weights for policy 0, policy_version 7216 (0.0010) +[2026-06-04 12:40:07,874][524087] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9413.8). Total num frames: 3702784. Throughput: 0: 9739.3. Samples: 3704832. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 12:40:07,875][524087] Avg episode reward: [(0, '679.900')] +[2026-06-04 12:40:07,879][525034] Saving new best policy, reward=679.900! +[2026-06-04 12:40:09,296][525115] Updated weights for policy 0, policy_version 7290 (0.0012) +[2026-06-04 12:40:12,749][525115] Updated weights for policy 0, policy_version 7359 (0.0011) +[2026-06-04 12:40:12,873][524087] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 3768320. Throughput: 0: 9773.5. Samples: 3764224. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:40:12,874][524087] Avg episode reward: [(0, '703.350')] +[2026-06-04 12:40:12,877][525034] Saving new best policy, reward=703.350! +[2026-06-04 12:40:17,873][524087] Fps is (10 sec: 9830.8, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 3801088. Throughput: 0: 9773.5. Samples: 3822592. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:40:17,874][524087] Avg episode reward: [(0, '737.800')] +[2026-06-04 12:40:17,878][525034] Saving new best policy, reward=737.800! +[2026-06-04 12:40:18,968][525034] Signal inference workers to stop experience collection... (350 times) +[2026-06-04 12:40:18,968][525115] Updated weights for policy 0, policy_version 7456 (0.0011) +[2026-06-04 12:40:18,998][525115] InferenceWorker_p0-w0: stopping experience collection (350 times) +[2026-06-04 12:40:19,078][525034] Signal inference workers to resume experience collection... (350 times) +[2026-06-04 12:40:19,078][525115] InferenceWorker_p0-w0: resuming experience collection (350 times) +[2026-06-04 12:40:22,367][525115] Updated weights for policy 0, policy_version 7539 (0.0013) +[2026-06-04 12:40:22,873][524087] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9524.9). Total num frames: 3866624. Throughput: 0: 9807.7. Samples: 3853312. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:40:22,874][524087] Avg episode reward: [(0, '768.650')] +[2026-06-04 12:40:22,878][525034] Saving new best policy, reward=768.650! +[2026-06-04 12:40:25,633][525115] Updated weights for policy 0, policy_version 7608 (0.0009) +[2026-06-04 12:40:27,874][524087] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 3899392. Throughput: 0: 9830.4. Samples: 3915264. Policy #0 lag: (min: 20.0, avg: 23.9, max: 84.0) +[2026-06-04 12:40:27,875][524087] Avg episode reward: [(0, '784.400')] +[2026-06-04 12:40:27,879][525034] Saving new best policy, reward=784.400! +[2026-06-04 12:40:31,757][525115] Updated weights for policy 0, policy_version 7696 (0.0012) +[2026-06-04 12:40:32,873][524087] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 3964928. Throughput: 0: 9864.5. Samples: 3974144. Policy #0 lag: (min: 47.0, avg: 49.9, max: 111.0) +[2026-06-04 12:40:32,874][524087] Avg episode reward: [(0, '871.300')] +[2026-06-04 12:40:32,877][525034] Saving new best policy, reward=871.300! +[2026-06-04 12:40:35,341][525115] Updated weights for policy 0, policy_version 7795 (0.0012) +[2026-06-04 12:40:37,874][524087] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9469.4). Total num frames: 3997696. Throughput: 0: 9887.3. Samples: 4003840. Policy #0 lag: (min: 47.0, avg: 49.9, max: 111.0) +[2026-06-04 12:40:37,875][524087] Avg episode reward: [(0, '843.550')] +[2026-06-04 12:40:38,629][525115] Updated weights for policy 0, policy_version 7865 (0.0010) +[2026-06-04 12:40:41,857][525115] Updated weights for policy 0, policy_version 7935 (0.0010) +[2026-06-04 12:40:42,874][524087] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 4063232. Throughput: 0: 10001.1. Samples: 4066304. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 12:40:42,874][524087] Avg episode reward: [(0, '902.150')] +[2026-06-04 12:40:42,879][525034] Saving new best policy, reward=902.150! +[2026-06-04 12:40:47,873][524087] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 4096000. Throughput: 0: 10103.5. Samples: 4128768. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 12:40:47,874][524087] Avg episode reward: [(0, '872.900')] +[2026-06-04 12:40:48,005][525115] Updated weights for policy 0, policy_version 8032 (0.0013) +[2026-06-04 12:40:51,580][525115] Updated weights for policy 0, policy_version 8123 (0.0011) +[2026-06-04 12:40:52,874][524087] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 4161536. Throughput: 0: 10080.8. Samples: 4158464. Policy #0 lag: (min: 52.0, avg: 54.8, max: 116.0) +[2026-06-04 12:40:52,874][524087] Avg episode reward: [(0, '840.100')] +[2026-06-04 12:40:57,863][525115] Updated weights for policy 0, policy_version 8224 (0.0011) +[2026-06-04 12:40:57,873][524087] Fps is (10 sec: 11468.9, 60 sec: 10103.5, 300 sec: 9608.3). Total num frames: 4210688. Throughput: 0: 10069.3. Samples: 4217344. Policy #0 lag: (min: 7.0, avg: 9.9, max: 71.0) +[2026-06-04 12:40:57,874][524087] Avg episode reward: [(0, '832.900')] +[2026-06-04 12:41:01,276][525115] Updated weights for policy 0, policy_version 8305 (0.0011) +[2026-06-04 12:41:02,873][524087] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 4259840. Throughput: 0: 10114.8. Samples: 4277760. Policy #0 lag: (min: 7.0, avg: 9.9, max: 71.0) +[2026-06-04 12:41:02,874][524087] Avg episode reward: [(0, '862.300')] +[2026-06-04 12:41:04,604][525115] Updated weights for policy 0, policy_version 8377 (0.0010) +[2026-06-04 12:41:07,874][524087] Fps is (10 sec: 10649.4, 60 sec: 10240.0, 300 sec: 9636.0). Total num frames: 4317184. Throughput: 0: 10092.1. Samples: 4307456. Policy #0 lag: (min: 11.0, avg: 14.8, max: 75.0) +[2026-06-04 12:41:07,874][524087] Avg episode reward: [(0, '946.550')] +[2026-06-04 12:41:07,925][525034] Saving new best policy, reward=946.550! +[2026-06-04 12:41:10,722][525115] Updated weights for policy 0, policy_version 8464 (0.0012) +[2026-06-04 12:41:12,874][524087] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9580.5). Total num frames: 4358144. Throughput: 0: 10046.6. Samples: 4367360. Policy #0 lag: (min: 11.0, avg: 14.8, max: 75.0) +[2026-06-04 12:41:12,874][524087] Avg episode reward: [(0, '938.250')] +[2026-06-04 12:41:14,085][525034] Signal inference workers to stop experience collection... (400 times) +[2026-06-04 12:41:14,116][525115] InferenceWorker_p0-w0: stopping experience collection (400 times) +[2026-06-04 12:41:14,221][525034] Signal inference workers to resume experience collection... (400 times) +[2026-06-04 12:41:14,221][525115] InferenceWorker_p0-w0: resuming experience collection (400 times) +[2026-06-04 12:41:14,223][525115] Updated weights for policy 0, policy_version 8544 (0.0011) +[2026-06-04 12:41:17,549][525115] Updated weights for policy 0, policy_version 8624 (0.0012) +[2026-06-04 12:41:17,873][524087] Fps is (10 sec: 10649.6, 60 sec: 10376.5, 300 sec: 9663.8). Total num frames: 4423680. Throughput: 0: 10092.1. Samples: 4428288. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:41:17,874][524087] Avg episode reward: [(0, '961.650')] +[2026-06-04 12:41:17,880][525034] Saving new best policy, reward=961.650! +[2026-06-04 12:41:20,585][525115] Updated weights for policy 0, policy_version 8692 (0.0011) +[2026-06-04 12:41:22,874][524087] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 4456448. Throughput: 0: 10149.0. Samples: 4460544. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:41:22,875][524087] Avg episode reward: [(0, '1017.150')] +[2026-06-04 12:41:22,879][525034] Saving new best policy, reward=1017.150! +[2026-06-04 12:41:24,050][525115] Updated weights for policy 0, policy_version 8767 (0.0010) +[2026-06-04 12:41:27,873][524087] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9663.8). Total num frames: 4521984. Throughput: 0: 10137.6. Samples: 4522496. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:41:27,874][524087] Avg episode reward: [(0, '1015.150')] +[2026-06-04 12:41:30,281][525115] Updated weights for policy 0, policy_version 8864 (0.0015) +[2026-06-04 12:41:32,873][524087] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 4554752. Throughput: 0: 10058.0. Samples: 4581376. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:41:32,874][524087] Avg episode reward: [(0, '1144.550')] +[2026-06-04 12:41:32,879][525034] Saving new best policy, reward=1144.550! +[2026-06-04 12:41:33,942][525115] Updated weights for policy 0, policy_version 8960 (0.0010) +[2026-06-04 12:41:37,873][524087] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9691.6). Total num frames: 4620288. Throughput: 0: 10035.2. Samples: 4610048. Policy #0 lag: (min: 9.0, avg: 11.8, max: 73.0) +[2026-06-04 12:41:37,874][524087] Avg episode reward: [(0, '1189.600')] +[2026-06-04 12:41:37,879][525034] Saving new best policy, reward=1189.600! +[2026-06-04 12:41:40,150][525115] Updated weights for policy 0, policy_version 9072 (0.0012) +[2026-06-04 12:41:42,874][524087] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 4653056. Throughput: 0: 10092.0. Samples: 4671488. Policy #0 lag: (min: 9.0, avg: 11.8, max: 73.0) +[2026-06-04 12:41:42,874][524087] Avg episode reward: [(0, '1164.050')] +[2026-06-04 12:41:43,634][525115] Updated weights for policy 0, policy_version 9150 (0.0010) +[2026-06-04 12:41:47,874][524087] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9774.9). Total num frames: 4718592. Throughput: 0: 10069.3. Samples: 4730880. Policy #0 lag: (min: 7.0, avg: 9.8, max: 71.0) +[2026-06-04 12:41:47,874][524087] Avg episode reward: [(0, '1142.100')] +[2026-06-04 12:41:49,732][525115] Updated weights for policy 0, policy_version 9248 (0.0012) +[2026-06-04 12:41:52,874][524087] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 4751360. Throughput: 0: 10103.5. Samples: 4762112. Policy #0 lag: (min: 7.0, avg: 9.8, max: 71.0) +[2026-06-04 12:41:52,875][524087] Avg episode reward: [(0, '1234.300')] +[2026-06-04 12:41:53,023][525034] Saving new best policy, reward=1234.300! +[2026-06-04 12:41:53,307][525115] Updated weights for policy 0, policy_version 9341 (0.0013) +[2026-06-04 12:41:57,874][524087] Fps is (10 sec: 9830.4, 60 sec: 10103.4, 300 sec: 9774.9). Total num frames: 4816896. Throughput: 0: 10114.8. Samples: 4822528. Policy #0 lag: (min: 13.0, avg: 15.9, max: 77.0) +[2026-06-04 12:41:57,874][524087] Avg episode reward: [(0, '1219.800')] +[2026-06-04 12:41:59,287][525115] Updated weights for policy 0, policy_version 9424 (0.0012) +[2026-06-04 12:42:02,693][525115] Updated weights for policy 0, policy_version 9520 (0.0014) +[2026-06-04 12:42:02,874][524087] Fps is (10 sec: 12287.9, 60 sec: 10240.0, 300 sec: 9747.1). Total num frames: 4874240. Throughput: 0: 10137.6. Samples: 4884480. Policy #0 lag: (min: 13.0, avg: 15.9, max: 77.0) +[2026-06-04 12:42:02,875][524087] Avg episode reward: [(0, '1249.950')] +[2026-06-04 12:42:02,879][525034] Saving new best policy, reward=1249.950! +[2026-06-04 12:42:06,246][525115] Updated weights for policy 0, policy_version 9600 (0.0011) +[2026-06-04 12:42:07,874][524087] Fps is (10 sec: 9830.4, 60 sec: 9966.9, 300 sec: 9774.9). Total num frames: 4915200. Throughput: 0: 10126.2. Samples: 4916224. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 12:42:07,874][524087] Avg episode reward: [(0, '1361.900')] +[2026-06-04 12:42:07,880][525034] Saving new best policy, reward=1361.900! +[2026-06-04 12:42:08,823][525034] Signal inference workers to stop experience collection... (450 times) +[2026-06-04 12:42:08,875][525115] InferenceWorker_p0-w0: stopping experience collection (450 times) +[2026-06-04 12:42:08,949][525034] Signal inference workers to resume experience collection... (450 times) +[2026-06-04 12:42:08,950][525115] InferenceWorker_p0-w0: resuming experience collection (450 times) +[2026-06-04 12:42:12,208][525115] Updated weights for policy 0, policy_version 9697 (0.0012) +[2026-06-04 12:42:12,873][524087] Fps is (10 sec: 10649.8, 60 sec: 10376.6, 300 sec: 9802.6). Total num frames: 4980736. Throughput: 0: 10137.6. Samples: 4978688. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 12:42:12,874][524087] Avg episode reward: [(0, '1306.700')] +[2026-06-04 12:42:15,465][525115] Updated weights for policy 0, policy_version 9784 (0.0013) +[2026-06-04 12:42:17,873][524087] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 5013504. Throughput: 0: 10205.9. Samples: 5040640. Policy #0 lag: (min: 7.0, avg: 10.4, max: 71.0) +[2026-06-04 12:42:17,874][524087] Avg episode reward: [(0, '1387.950')] +[2026-06-04 12:42:17,878][525034] Saving new best policy, reward=1387.950! +[2026-06-04 12:42:21,435][525115] Updated weights for policy 0, policy_version 9872 (0.0012) +[2026-06-04 12:42:22,874][524087] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 9885.9). Total num frames: 5079040. Throughput: 0: 10262.8. Samples: 5071872. Policy #0 lag: (min: 7.0, avg: 10.4, max: 71.0) +[2026-06-04 12:42:22,874][524087] Avg episode reward: [(0, '1353.400')] +[2026-06-04 12:42:24,778][525115] Updated weights for policy 0, policy_version 9968 (0.0012) +[2026-06-04 12:42:27,874][524087] Fps is (10 sec: 11468.6, 60 sec: 10103.5, 300 sec: 9830.4). Total num frames: 5128192. Throughput: 0: 10308.3. Samples: 5135360. Policy #0 lag: (min: 10.0, avg: 13.0, max: 74.0) +[2026-06-04 12:42:27,874][524087] Avg episode reward: [(0, '1445.900')] +[2026-06-04 12:42:28,186][525034] Saving new best policy, reward=1445.900! +[2026-06-04 12:42:28,216][525115] Updated weights for policy 0, policy_version 10048 (0.0012) +[2026-06-04 12:42:32,874][524087] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9885.9). Total num frames: 5177344. Throughput: 0: 10331.0. Samples: 5195776. Policy #0 lag: (min: 10.0, avg: 13.0, max: 74.0) +[2026-06-04 12:42:32,874][524087] Avg episode reward: [(0, '1565.350')] +[2026-06-04 12:42:32,879][525034] Saving new best policy, reward=1565.350! +[2026-06-04 12:42:34,266][525115] Updated weights for policy 0, policy_version 10144 (0.0012) +[2026-06-04 12:42:37,601][525115] Updated weights for policy 0, policy_version 10231 (0.0014) +[2026-06-04 12:42:37,874][524087] Fps is (10 sec: 11468.7, 60 sec: 10376.5, 300 sec: 9913.7). Total num frames: 5242880. Throughput: 0: 10308.2. Samples: 5225984. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 12:42:37,875][524087] Avg episode reward: [(0, '1514.400')] +[2026-06-04 12:42:40,828][525115] Updated weights for policy 0, policy_version 10304 (0.0013) +[2026-06-04 12:42:42,873][524087] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9885.9). Total num frames: 5275648. Throughput: 0: 10387.9. Samples: 5289984. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 12:42:42,874][524087] Avg episode reward: [(0, '1627.400')] +[2026-06-04 12:42:42,879][525034] Saving new best policy, reward=1627.400! +[2026-06-04 12:42:46,384][525115] Updated weights for policy 0, policy_version 10384 (0.0011) +[2026-06-04 12:42:47,873][524087] Fps is (10 sec: 9830.6, 60 sec: 10376.6, 300 sec: 9997.0). Total num frames: 5341184. Throughput: 0: 10490.4. Samples: 5356544. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:42:47,874][524087] Avg episode reward: [(0, '1601.000')] +[2026-06-04 12:42:49,562][525115] Updated weights for policy 0, policy_version 10464 (0.0011) +[2026-06-04 12:42:52,873][524087] Fps is (10 sec: 12288.0, 60 sec: 10786.1, 300 sec: 9969.3). Total num frames: 5398528. Throughput: 0: 10479.0. Samples: 5387776. Policy #0 lag: (min: 0.0, avg: 2.9, max: 64.0) +[2026-06-04 12:42:52,874][524087] Avg episode reward: [(0, '1602.350')] +[2026-06-04 12:42:52,909][525115] Updated weights for policy 0, policy_version 10550 (0.0013) +[2026-06-04 12:42:57,873][524087] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 9997.0). Total num frames: 5439488. Throughput: 0: 10444.8. Samples: 5448704. Policy #0 lag: (min: 0.0, avg: 2.9, max: 64.0) +[2026-06-04 12:42:57,874][524087] Avg episode reward: [(0, '1618.900')] +[2026-06-04 12:42:58,984][525034] Signal inference workers to stop experience collection... (500 times) +[2026-06-04 12:42:58,987][525115] Updated weights for policy 0, policy_version 10656 (0.0016) +[2026-06-04 12:42:59,017][525115] InferenceWorker_p0-w0: stopping experience collection (500 times) +[2026-06-04 12:42:59,102][525034] Signal inference workers to resume experience collection... (500 times) +[2026-06-04 12:42:59,102][525115] InferenceWorker_p0-w0: resuming experience collection (500 times) +[2026-06-04 12:43:02,211][525115] Updated weights for policy 0, policy_version 10742 (0.0012) +[2026-06-04 12:43:02,873][524087] Fps is (10 sec: 10649.6, 60 sec: 10513.1, 300 sec: 9997.0). Total num frames: 5505024. Throughput: 0: 10524.4. Samples: 5514240. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:43:02,874][524087] Avg episode reward: [(0, '1691.450')] +[2026-06-04 12:43:02,877][525034] Saving new best policy, reward=1691.450! +[2026-06-04 12:43:07,824][525115] Updated weights for policy 0, policy_version 10817 (0.0011) +[2026-06-04 12:43:07,874][524087] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 5537792. Throughput: 0: 10547.2. Samples: 5546496. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:43:07,874][524087] Avg episode reward: [(0, '1753.700')] +[2026-06-04 12:43:08,043][525034] Saving new best policy, reward=1753.700! +[2026-06-04 12:43:11,036][525115] Updated weights for policy 0, policy_version 10896 (0.0013) +[2026-06-04 12:43:12,874][524087] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 5603328. Throughput: 0: 10547.2. Samples: 5609984. Policy #0 lag: (min: 3.0, avg: 7.0, max: 67.0) +[2026-06-04 12:43:12,875][524087] Avg episode reward: [(0, '1912.700')] +[2026-06-04 12:43:12,879][525034] Saving new best policy, reward=1912.700! +[2026-06-04 12:43:14,508][525115] Updated weights for policy 0, policy_version 10998 (0.0013) +[2026-06-04 12:43:17,873][524087] Fps is (10 sec: 13107.4, 60 sec: 10922.7, 300 sec: 10108.1). Total num frames: 5668864. Throughput: 0: 10592.7. Samples: 5672448. Policy #0 lag: (min: 3.0, avg: 7.0, max: 67.0) +[2026-06-04 12:43:17,874][524087] Avg episode reward: [(0, '1987.850')] +[2026-06-04 12:43:17,879][525034] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride5_seed14/checkpoint_p0/checkpoint_000011072_5668864.pth... +[2026-06-04 12:43:17,907][525034] Saving new best policy, reward=1987.850! +[2026-06-04 12:43:20,251][525115] Updated weights for policy 0, policy_version 11074 (0.0011) +[2026-06-04 12:43:22,873][524087] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10052.6). Total num frames: 5701632. Throughput: 0: 10649.6. Samples: 5705216. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:43:22,874][524087] Avg episode reward: [(0, '1982.800')] +[2026-06-04 12:43:23,309][525115] Updated weights for policy 0, policy_version 11152 (0.0012) +[2026-06-04 12:43:26,608][525115] Updated weights for policy 0, policy_version 11251 (0.0012) +[2026-06-04 12:43:27,874][524087] Fps is (10 sec: 9830.3, 60 sec: 10649.6, 300 sec: 10108.1). Total num frames: 5767168. Throughput: 0: 10683.7. Samples: 5770752. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:43:27,875][524087] Avg episode reward: [(0, '2050.500')] +[2026-06-04 12:43:27,880][525034] Saving new best policy, reward=2050.500! +[2026-06-04 12:43:29,767][525115] Updated weights for policy 0, policy_version 11315 (0.0012) +[2026-06-04 12:43:32,846][525115] Updated weights for policy 0, policy_version 11389 (0.0011) +[2026-06-04 12:43:32,873][524087] Fps is (10 sec: 12288.1, 60 sec: 10786.2, 300 sec: 10163.6). Total num frames: 5824512. Throughput: 0: 10638.2. Samples: 5835264. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:43:32,874][524087] Avg episode reward: [(0, '2084.600')] +[2026-06-04 12:43:32,878][525034] Saving new best policy, reward=2084.600! +[2026-06-04 12:43:37,873][524087] Fps is (10 sec: 9830.5, 60 sec: 10376.6, 300 sec: 10108.1). Total num frames: 5865472. Throughput: 0: 10649.6. Samples: 5867008. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:43:37,874][524087] Avg episode reward: [(0, '2089.200')] +[2026-06-04 12:43:37,877][525034] Saving new best policy, reward=2089.200! +[2026-06-04 12:43:38,630][525115] Updated weights for policy 0, policy_version 11488 (0.0011) +[2026-06-04 12:43:42,007][525115] Updated weights for policy 0, policy_version 11572 (0.0011) +[2026-06-04 12:43:42,873][524087] Fps is (10 sec: 10649.5, 60 sec: 10922.7, 300 sec: 10219.2). Total num frames: 5931008. Throughput: 0: 10729.2. Samples: 5931520. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:43:42,874][524087] Avg episode reward: [(0, '2208.350')] +[2026-06-04 12:43:42,879][525034] Saving new best policy, reward=2208.350! +[2026-06-04 12:43:45,166][525115] Updated weights for policy 0, policy_version 11639 (0.0012) +[2026-06-04 12:43:47,873][524087] Fps is (10 sec: 10649.5, 60 sec: 10513.1, 300 sec: 10135.9). Total num frames: 5971968. Throughput: 0: 10729.2. Samples: 5997056. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:43:47,874][524087] Avg episode reward: [(0, '2420.450')] +[2026-06-04 12:43:48,122][525034] Saving new best policy, reward=2420.450! +[2026-06-04 12:43:48,330][525115] Updated weights for policy 0, policy_version 11707 (0.0010) +[2026-06-04 12:43:50,907][525034] Signal inference workers to stop experience collection... (550 times) +[2026-06-04 12:43:50,937][525115] InferenceWorker_p0-w0: stopping experience collection (550 times) +[2026-06-04 12:43:51,038][525034] Signal inference workers to resume experience collection... (550 times) +[2026-06-04 12:43:51,038][525115] InferenceWorker_p0-w0: resuming experience collection (550 times) +[2026-06-04 12:43:52,873][524087] Fps is (10 sec: 9830.4, 60 sec: 10513.1, 300 sec: 10219.2). Total num frames: 6029312. Throughput: 0: 10717.9. Samples: 6028800. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:43:52,874][524087] Avg episode reward: [(0, '2547.200')] +[2026-06-04 12:43:52,879][525034] Saving new best policy, reward=2547.200! +[2026-06-04 12:43:53,854][525115] Updated weights for policy 0, policy_version 11777 (0.0013) +[2026-06-04 12:43:57,090][525115] Updated weights for policy 0, policy_version 11872 (0.0011) +[2026-06-04 12:43:57,874][524087] Fps is (10 sec: 12287.9, 60 sec: 10922.6, 300 sec: 10219.2). Total num frames: 6094848. Throughput: 0: 10763.4. Samples: 6094336. Policy #0 lag: (min: 12.0, avg: 15.9, max: 76.0) +[2026-06-04 12:43:57,875][524087] Avg episode reward: [(0, '2551.900')] +[2026-06-04 12:43:57,880][525034] Saving new best policy, reward=2551.900! +[2026-06-04 12:44:00,267][525115] Updated weights for policy 0, policy_version 11952 (0.0012) +[2026-06-04 12:44:02,874][524087] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 6127616. Throughput: 0: 10843.0. Samples: 6160384. Policy #0 lag: (min: 12.0, avg: 15.9, max: 76.0) +[2026-06-04 12:44:02,875][524087] Avg episode reward: [(0, '2595.400')] +[2026-06-04 12:44:03,053][525034] Saving new best policy, reward=2595.400! +[2026-06-04 12:44:03,193][525115] Updated weights for policy 0, policy_version 12016 (0.0010) +[2026-06-04 12:44:06,366][525115] Updated weights for policy 0, policy_version 12095 (0.0012) +[2026-06-04 12:44:07,874][524087] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10219.2). Total num frames: 6193152. Throughput: 0: 10831.6. Samples: 6192640. Policy #0 lag: (min: 31.0, avg: 35.6, max: 95.0) +[2026-06-04 12:44:07,874][524087] Avg episode reward: [(0, '2660.600')] +[2026-06-04 12:44:07,879][525034] Saving new best policy, reward=2660.600! +[2026-06-04 12:44:12,097][525115] Updated weights for policy 0, policy_version 12176 (0.0013) +[2026-06-04 12:44:12,873][524087] Fps is (10 sec: 13107.4, 60 sec: 10922.7, 300 sec: 10330.3). Total num frames: 6258688. Throughput: 0: 10786.1. Samples: 6256128. Policy #0 lag: (min: 31.0, avg: 35.6, max: 95.0) +[2026-06-04 12:44:12,874][524087] Avg episode reward: [(0, '2742.650')] +[2026-06-04 12:44:12,877][525034] Saving new best policy, reward=2742.650! +[2026-06-04 12:44:15,178][525115] Updated weights for policy 0, policy_version 12256 (0.0011) +[2026-06-04 12:44:17,874][524087] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 6291456. Throughput: 0: 10808.9. Samples: 6321664. Policy #0 lag: (min: 47.0, avg: 51.2, max: 111.0) +[2026-06-04 12:44:17,875][524087] Avg episode reward: [(0, '2776.650')] +[2026-06-04 12:44:17,879][525034] Saving new best policy, reward=2776.650! +[2026-06-04 12:44:18,388][525115] Updated weights for policy 0, policy_version 12340 (0.0012) +[2026-06-04 12:44:21,634][525115] Updated weights for policy 0, policy_version 12410 (0.0011) +[2026-06-04 12:44:22,873][524087] Fps is (10 sec: 9830.5, 60 sec: 10922.7, 300 sec: 10330.3). Total num frames: 6356992. Throughput: 0: 10808.9. Samples: 6353408. Policy #0 lag: (min: 47.0, avg: 51.2, max: 111.0) +[2026-06-04 12:44:22,874][524087] Avg episode reward: [(0, '2769.050')] +[2026-06-04 12:44:27,297][525115] Updated weights for policy 0, policy_version 12497 (0.0013) +[2026-06-04 12:44:27,874][524087] Fps is (10 sec: 13106.8, 60 sec: 10922.6, 300 sec: 10330.2). Total num frames: 6422528. Throughput: 0: 10797.4. Samples: 6417408. Policy #0 lag: (min: 59.0, avg: 63.5, max: 123.0) +[2026-06-04 12:44:27,875][524087] Avg episode reward: [(0, '2821.350')] +[2026-06-04 12:44:27,879][525034] Saving new best policy, reward=2821.350! +[2026-06-04 12:44:30,264][525115] Updated weights for policy 0, policy_version 12576 (0.0014) +[2026-06-04 12:44:32,873][524087] Fps is (10 sec: 9830.3, 60 sec: 10513.1, 300 sec: 10330.3). Total num frames: 6455296. Throughput: 0: 10854.4. Samples: 6485504. Policy #0 lag: (min: 59.0, avg: 63.5, max: 123.0) +[2026-06-04 12:44:32,875][524087] Avg episode reward: [(0, '2917.600')] +[2026-06-04 12:44:32,879][525034] Saving new best policy, reward=2917.600! +[2026-06-04 12:44:33,403][525115] Updated weights for policy 0, policy_version 12664 (0.0010) +[2026-06-04 12:44:36,373][525115] Updated weights for policy 0, policy_version 12736 (0.0011) +[2026-06-04 12:44:37,874][524087] Fps is (10 sec: 9830.6, 60 sec: 10922.6, 300 sec: 10330.3). Total num frames: 6520832. Throughput: 0: 10922.6. Samples: 6520320. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:44:37,875][524087] Avg episode reward: [(0, '2859.400')] +[2026-06-04 12:44:41,941][525034] Signal inference workers to stop experience collection... (600 times) +[2026-06-04 12:44:41,972][525115] InferenceWorker_p0-w0: stopping experience collection (600 times) +[2026-06-04 12:44:42,069][525034] Signal inference workers to resume experience collection... (600 times) +[2026-06-04 12:44:42,069][525115] InferenceWorker_p0-w0: resuming experience collection (600 times) +[2026-06-04 12:44:42,318][525115] Updated weights for policy 0, policy_version 12848 (0.0014) +[2026-06-04 12:44:42,873][524087] Fps is (10 sec: 13107.1, 60 sec: 10922.7, 300 sec: 10441.3). Total num frames: 6586368. Throughput: 0: 10888.5. Samples: 6584320. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:44:42,875][524087] Avg episode reward: [(0, '2819.100')] +[2026-06-04 12:44:45,486][525115] Updated weights for policy 0, policy_version 12917 (0.0010) +[2026-06-04 12:44:47,874][524087] Fps is (10 sec: 9830.5, 60 sec: 10786.1, 300 sec: 10330.2). Total num frames: 6619136. Throughput: 0: 10843.0. Samples: 6648320. Policy #0 lag: (min: 63.0, avg: 65.9, max: 127.0) +[2026-06-04 12:44:47,874][524087] Avg episode reward: [(0, '2865.300')] +[2026-06-04 12:44:48,510][525115] Updated weights for policy 0, policy_version 12979 (0.0014) +[2026-06-04 12:44:52,874][524087] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10441.3). Total num frames: 6684672. Throughput: 0: 10843.0. Samples: 6680576. Policy #0 lag: (min: 63.0, avg: 65.9, max: 127.0) +[2026-06-04 12:44:52,874][524087] Avg episode reward: [(0, '2966.350')] +[2026-06-04 12:44:52,878][525034] Saving new best policy, reward=2966.350! +[2026-06-04 12:44:54,241][525115] Updated weights for policy 0, policy_version 13057 (0.0012) +[2026-06-04 12:44:57,527][525115] Updated weights for policy 0, policy_version 13168 (0.0012) +[2026-06-04 12:44:57,874][524087] Fps is (10 sec: 13107.0, 60 sec: 10922.6, 300 sec: 10441.3). Total num frames: 6750208. Throughput: 0: 10865.7. Samples: 6745088. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:44:57,875][524087] Avg episode reward: [(0, '3135.300')] +[2026-06-04 12:44:57,880][525034] Saving new best policy, reward=3135.300! +[2026-06-04 12:45:00,583][525115] Updated weights for policy 0, policy_version 13245 (0.0013) +[2026-06-04 12:45:02,874][524087] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10441.3). Total num frames: 6782976. Throughput: 0: 10899.9. Samples: 6812160. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:45:02,874][524087] Avg episode reward: [(0, '3132.750')] +[2026-06-04 12:45:06,169][525115] Updated weights for policy 0, policy_version 13328 (0.0012) +[2026-06-04 12:45:07,874][524087] Fps is (10 sec: 9830.4, 60 sec: 10922.6, 300 sec: 10441.3). Total num frames: 6848512. Throughput: 0: 10922.6. Samples: 6844928. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:45:07,875][524087] Avg episode reward: [(0, '3379.500')] +[2026-06-04 12:45:07,880][525034] Saving new best policy, reward=3379.500! +[2026-06-04 12:45:09,314][525115] Updated weights for policy 0, policy_version 13424 (0.0011) +[2026-06-04 12:45:12,452][525115] Updated weights for policy 0, policy_version 13503 (0.0009) +[2026-06-04 12:45:12,873][524087] Fps is (10 sec: 13107.3, 60 sec: 10922.7, 300 sec: 10552.4). Total num frames: 6914048. Throughput: 0: 10979.6. Samples: 6911488. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 12:45:12,874][524087] Avg episode reward: [(0, '3461.100')] +[2026-06-04 12:45:12,878][525034] Saving new best policy, reward=3461.100! +[2026-06-04 12:45:17,873][524087] Fps is (10 sec: 9830.6, 60 sec: 10922.7, 300 sec: 10441.3). Total num frames: 6946816. Throughput: 0: 10911.3. Samples: 6976512. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 12:45:17,874][524087] Avg episode reward: [(0, '3519.650')] +[2026-06-04 12:45:17,878][525034] Saving new best policy, reward=3519.650! +[2026-06-04 12:45:18,170][525115] Updated weights for policy 0, policy_version 13600 (0.0012) +[2026-06-04 12:45:21,359][525115] Updated weights for policy 0, policy_version 13683 (0.0011) +[2026-06-04 12:45:22,874][524087] Fps is (10 sec: 9830.3, 60 sec: 10922.6, 300 sec: 10552.4). Total num frames: 7012352. Throughput: 0: 10888.6. Samples: 7010304. Policy #0 lag: (min: 13.0, avg: 15.9, max: 77.0) +[2026-06-04 12:45:22,874][524087] Avg episode reward: [(0, '3458.800')] +[2026-06-04 12:45:24,620][525115] Updated weights for policy 0, policy_version 13758 (0.0012) +[2026-06-04 12:45:27,873][524087] Fps is (10 sec: 13107.3, 60 sec: 10922.7, 300 sec: 10552.4). Total num frames: 7077888. Throughput: 0: 10877.2. Samples: 7073792. Policy #0 lag: (min: 13.0, avg: 15.9, max: 77.0) +[2026-06-04 12:45:27,874][524087] Avg episode reward: [(0, '3429.800')] +[2026-06-04 12:45:30,126][525115] Updated weights for policy 0, policy_version 13825 (0.0012) +[2026-06-04 12:45:30,330][525034] Signal inference workers to stop experience collection... (650 times) +[2026-06-04 12:45:30,359][525115] InferenceWorker_p0-w0: stopping experience collection (650 times) +[2026-06-04 12:45:30,444][525034] Signal inference workers to resume experience collection... (650 times) +[2026-06-04 12:45:30,444][525115] InferenceWorker_p0-w0: resuming experience collection (650 times) +[2026-06-04 12:45:32,874][524087] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10552.4). Total num frames: 7110656. Throughput: 0: 10956.8. Samples: 7141376. Policy #0 lag: (min: 13.0, avg: 15.9, max: 77.0) +[2026-06-04 12:45:32,875][524087] Avg episode reward: [(0, '3334.850')] +[2026-06-04 12:45:33,352][525115] Updated weights for policy 0, policy_version 13939 (0.0012) +[2026-06-04 12:45:36,370][525115] Updated weights for policy 0, policy_version 14000 (0.0013) +[2026-06-04 12:45:37,874][524087] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10552.4). Total num frames: 7176192. Throughput: 0: 10968.2. Samples: 7174144. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:45:37,874][524087] Avg episode reward: [(0, '3242.350')] +[2026-06-04 12:45:39,475][525115] Updated weights for policy 0, policy_version 14078 (0.0011) +[2026-06-04 12:45:42,873][524087] Fps is (10 sec: 13107.3, 60 sec: 10922.7, 300 sec: 10663.5). Total num frames: 7241728. Throughput: 0: 10991.0. Samples: 7239680. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:45:42,874][524087] Avg episode reward: [(0, '3348.200')] +[2026-06-04 12:45:44,902][525115] Updated weights for policy 0, policy_version 14160 (0.0011) +[2026-06-04 12:45:47,874][524087] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10552.4). Total num frames: 7274496. Throughput: 0: 10968.2. Samples: 7305728. Policy #0 lag: (min: 9.0, avg: 13.5, max: 73.0) +[2026-06-04 12:45:47,875][524087] Avg episode reward: [(0, '3506.850')] +[2026-06-04 12:45:48,330][525115] Updated weights for policy 0, policy_version 14261 (0.0012) +[2026-06-04 12:45:51,532][525115] Updated weights for policy 0, policy_version 14336 (0.0011) +[2026-06-04 12:45:52,873][524087] Fps is (10 sec: 9830.3, 60 sec: 10922.7, 300 sec: 10607.9). Total num frames: 7340032. Throughput: 0: 10945.5. Samples: 7337472. Policy #0 lag: (min: 9.0, avg: 13.5, max: 73.0) +[2026-06-04 12:45:52,874][524087] Avg episode reward: [(0, '3425.950')] +[2026-06-04 12:45:57,017][525115] Updated weights for policy 0, policy_version 14417 (0.0012) +[2026-06-04 12:45:57,873][524087] Fps is (10 sec: 13107.3, 60 sec: 10922.7, 300 sec: 10663.5). Total num frames: 7405568. Throughput: 0: 10956.8. Samples: 7404544. Policy #0 lag: (min: 3.0, avg: 6.6, max: 67.0) +[2026-06-04 12:45:57,874][524087] Avg episode reward: [(0, '3470.400')] +[2026-06-04 12:46:00,129][525115] Updated weights for policy 0, policy_version 14496 (0.0011) +[2026-06-04 12:46:02,874][524087] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10580.2). Total num frames: 7438336. Throughput: 0: 10945.4. Samples: 7469056. Policy #0 lag: (min: 3.0, avg: 6.6, max: 67.0) +[2026-06-04 12:46:02,875][524087] Avg episode reward: [(0, '3686.900')] +[2026-06-04 12:46:02,879][525034] Saving new best policy, reward=3686.900! +[2026-06-04 12:46:03,361][525115] Updated weights for policy 0, policy_version 14579 (0.0013) +[2026-06-04 12:46:06,509][525115] Updated weights for policy 0, policy_version 14656 (0.0014) +[2026-06-04 12:46:07,873][524087] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10663.5). Total num frames: 7503872. Throughput: 0: 10922.7. Samples: 7501824. Policy #0 lag: (min: 3.0, avg: 6.6, max: 67.0) +[2026-06-04 12:46:07,874][524087] Avg episode reward: [(0, '3770.600')] +[2026-06-04 12:46:07,879][525034] Saving new best policy, reward=3770.600! +[2026-06-04 12:46:12,011][525115] Updated weights for policy 0, policy_version 14753 (0.0011) +[2026-06-04 12:46:12,874][524087] Fps is (10 sec: 13107.2, 60 sec: 10922.7, 300 sec: 10663.5). Total num frames: 7569408. Throughput: 0: 11025.1. Samples: 7569920. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 12:46:12,874][524087] Avg episode reward: [(0, '3886.700')] +[2026-06-04 12:46:12,879][525034] Saving new best policy, reward=3886.700! +[2026-06-04 12:46:15,017][525115] Updated weights for policy 0, policy_version 14841 (0.0012) +[2026-06-04 12:46:17,873][524087] Fps is (10 sec: 12288.0, 60 sec: 11332.3, 300 sec: 10746.8). Total num frames: 7626752. Throughput: 0: 11002.3. Samples: 7636480. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 12:46:17,875][524087] Avg episode reward: [(0, '4036.150')] +[2026-06-04 12:46:18,037][525034] Saving new best policy, reward=4036.150! +[2026-06-04 12:46:20,560][525034] Signal inference workers to stop experience collection... (700 times) +[2026-06-04 12:46:20,561][525115] Updated weights for policy 0, policy_version 14928 (0.0013) +[2026-06-04 12:46:20,590][525115] InferenceWorker_p0-w0: stopping experience collection (700 times) +[2026-06-04 12:46:20,681][525034] Signal inference workers to resume experience collection... (700 times) +[2026-06-04 12:46:20,682][525115] InferenceWorker_p0-w0: resuming experience collection (700 times) +[2026-06-04 12:46:22,873][524087] Fps is (10 sec: 9830.5, 60 sec: 10922.7, 300 sec: 10663.5). Total num frames: 7667712. Throughput: 0: 10990.9. Samples: 7668736. Policy #0 lag: (min: 6.0, avg: 10.0, max: 70.0) +[2026-06-04 12:46:22,874][524087] Avg episode reward: [(0, '4139.700')] +[2026-06-04 12:46:22,877][525034] Saving new best policy, reward=4139.700! +[2026-06-04 12:46:23,909][525115] Updated weights for policy 0, policy_version 15025 (0.0014) +[2026-06-04 12:46:27,132][525115] Updated weights for policy 0, policy_version 15102 (0.0014) +[2026-06-04 12:46:27,873][524087] Fps is (10 sec: 10649.7, 60 sec: 10922.7, 300 sec: 10774.6). Total num frames: 7733248. Throughput: 0: 10990.9. Samples: 7734272. Policy #0 lag: (min: 6.0, avg: 10.0, max: 70.0) +[2026-06-04 12:46:27,874][524087] Avg episode reward: [(0, '4088.800')] +[2026-06-04 12:46:32,619][525115] Updated weights for policy 0, policy_version 15184 (0.0013) +[2026-06-04 12:46:32,873][524087] Fps is (10 sec: 12288.0, 60 sec: 11332.3, 300 sec: 10746.8). Total num frames: 7790592. Throughput: 0: 10979.6. Samples: 7799808. Policy #0 lag: (min: 11.0, avg: 14.6, max: 75.0) +[2026-06-04 12:46:32,874][524087] Avg episode reward: [(0, '3940.150')] +[2026-06-04 12:46:35,794][525115] Updated weights for policy 0, policy_version 15280 (0.0013) +[2026-06-04 12:46:37,874][524087] Fps is (10 sec: 9830.2, 60 sec: 10922.7, 300 sec: 10774.6). Total num frames: 7831552. Throughput: 0: 11025.0. Samples: 7833600. Policy #0 lag: (min: 11.0, avg: 14.6, max: 75.0) +[2026-06-04 12:46:37,875][524087] Avg episode reward: [(0, '3937.550')] +[2026-06-04 12:46:38,883][525115] Updated weights for policy 0, policy_version 15358 (0.0012) +[2026-06-04 12:46:42,873][524087] Fps is (10 sec: 10649.6, 60 sec: 10922.7, 300 sec: 10774.6). Total num frames: 7897088. Throughput: 0: 10979.6. Samples: 7898624. Policy #0 lag: (min: 11.0, avg: 14.6, max: 75.0) +[2026-06-04 12:46:42,874][524087] Avg episode reward: [(0, '3896.950')] +[2026-06-04 12:46:44,580][525115] Updated weights for policy 0, policy_version 15456 (0.0011) +[2026-06-04 12:46:47,796][525115] Updated weights for policy 0, policy_version 15542 (0.0010) +[2026-06-04 12:46:47,873][524087] Fps is (10 sec: 12288.1, 60 sec: 11332.3, 300 sec: 10857.9). Total num frames: 7954432. Throughput: 0: 11013.7. Samples: 7964672. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0) +[2026-06-04 12:46:47,874][524087] Avg episode reward: [(0, '3830.500')] +[2026-06-04 12:46:50,721][525115] Updated weights for policy 0, policy_version 15614 (0.0010) +[2026-06-04 12:46:52,873][524087] Fps is (10 sec: 9830.5, 60 sec: 10922.7, 300 sec: 10774.6). Total num frames: 7995392. Throughput: 0: 11047.8. Samples: 7998976. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0) +[2026-06-04 12:46:52,874][524087] Avg episode reward: [(0, '3950.300')] +[2026-06-04 12:46:56,265][525115] Updated weights for policy 0, policy_version 15681 (0.0012) +[2026-06-04 12:46:57,873][524087] Fps is (10 sec: 10649.6, 60 sec: 10922.7, 300 sec: 10802.3). Total num frames: 8060928. Throughput: 0: 10990.9. Samples: 8064512. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 12:46:57,874][524087] Avg episode reward: [(0, '3788.500')] +[2026-06-04 12:46:59,282][525115] Updated weights for policy 0, policy_version 15761 (0.0012) +[2026-06-04 12:47:02,395][525115] Updated weights for policy 0, policy_version 15862 (0.0012) +[2026-06-04 12:47:02,874][524087] Fps is (10 sec: 13107.0, 60 sec: 11468.8, 300 sec: 10885.6). Total num frames: 8126464. Throughput: 0: 11013.7. Samples: 8132096. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 12:47:02,875][524087] Avg episode reward: [(0, '3797.000')] +[2026-06-04 12:47:07,874][524087] Fps is (10 sec: 9830.2, 60 sec: 10922.6, 300 sec: 10774.6). Total num frames: 8159232. Throughput: 0: 10979.5. Samples: 8162816. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 12:47:07,875][524087] Avg episode reward: [(0, '3648.700')] +[2026-06-04 12:47:08,223][525115] Updated weights for policy 0, policy_version 15952 (0.0011) +[2026-06-04 12:47:10,820][525034] Signal inference workers to stop experience collection... (750 times) +[2026-06-04 12:47:10,848][525115] InferenceWorker_p0-w0: stopping experience collection (750 times) +[2026-06-04 12:47:10,954][525034] Signal inference workers to resume experience collection... (750 times) +[2026-06-04 12:47:10,955][525115] InferenceWorker_p0-w0: resuming experience collection (750 times) +[2026-06-04 12:47:11,092][525115] Updated weights for policy 0, policy_version 16032 (0.0009) +[2026-06-04 12:47:12,873][524087] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10885.6). Total num frames: 8224768. Throughput: 0: 11070.5. Samples: 8232448. Policy #0 lag: (min: 0.0, avg: 3.9, max: 64.0) +[2026-06-04 12:47:12,874][524087] Avg episode reward: [(0, '3740.850')] +[2026-06-04 12:47:14,297][525115] Updated weights for policy 0, policy_version 16121 (0.0012) +[2026-06-04 12:47:17,437][525115] Updated weights for policy 0, policy_version 16192 (0.0011) +[2026-06-04 12:47:17,873][524087] Fps is (10 sec: 13107.5, 60 sec: 11059.2, 300 sec: 10885.6). Total num frames: 8290304. Throughput: 0: 11082.0. Samples: 8298496. Policy #0 lag: (min: 0.0, avg: 3.9, max: 64.0) +[2026-06-04 12:47:17,874][524087] Avg episode reward: [(0, '3617.300')] +[2026-06-04 12:47:22,874][524087] Fps is (10 sec: 9830.3, 60 sec: 10922.7, 300 sec: 10830.1). Total num frames: 8323072. Throughput: 0: 11059.2. Samples: 8331264. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 12:47:22,874][524087] Avg episode reward: [(0, '3558.850')] +[2026-06-04 12:47:23,192][525115] Updated weights for policy 0, policy_version 16304 (0.0013) +[2026-06-04 12:47:26,433][525115] Updated weights for policy 0, policy_version 16376 (0.0010) +[2026-06-04 12:47:27,874][524087] Fps is (10 sec: 9830.4, 60 sec: 10922.6, 300 sec: 10885.6). Total num frames: 8388608. Throughput: 0: 11047.8. Samples: 8395776. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 12:47:27,874][524087] Avg episode reward: [(0, '3631.050')] +[2026-06-04 12:47:29,512][525115] Updated weights for policy 0, policy_version 16448 (0.0008) +[2026-06-04 12:47:32,874][524087] Fps is (10 sec: 13107.2, 60 sec: 11059.2, 300 sec: 10885.6). Total num frames: 8454144. Throughput: 0: 11070.6. Samples: 8462848. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:47:32,875][524087] Avg episode reward: [(0, '3812.450')] +[2026-06-04 12:47:34,823][525115] Updated weights for policy 0, policy_version 16528 (0.0011) +[2026-06-04 12:47:37,873][524087] Fps is (10 sec: 10649.7, 60 sec: 11059.2, 300 sec: 10913.4). Total num frames: 8495104. Throughput: 0: 11070.6. Samples: 8497152. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:47:37,874][524087] Avg episode reward: [(0, '3868.050')] +[2026-06-04 12:47:37,923][525115] Updated weights for policy 0, policy_version 16609 (0.0010) +[2026-06-04 12:47:40,941][525115] Updated weights for policy 0, policy_version 16692 (0.0010) +[2026-06-04 12:47:42,873][524087] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10885.6). Total num frames: 8552448. Throughput: 0: 11104.7. Samples: 8564224. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:47:42,874][524087] Avg episode reward: [(0, '3916.550')] +[2026-06-04 12:47:46,716][525115] Updated weights for policy 0, policy_version 16784 (0.0012) +[2026-06-04 12:47:47,874][524087] Fps is (10 sec: 12288.0, 60 sec: 11059.2, 300 sec: 10913.4). Total num frames: 8617984. Throughput: 0: 11047.8. Samples: 8629248. Policy #0 lag: (min: 17.0, avg: 20.3, max: 81.0) +[2026-06-04 12:47:47,875][524087] Avg episode reward: [(0, '4098.100')] +[2026-06-04 12:47:49,705][525115] Updated weights for policy 0, policy_version 16849 (0.0011) +[2026-06-04 12:47:52,749][525115] Updated weights for policy 0, policy_version 16928 (0.0011) +[2026-06-04 12:47:52,873][524087] Fps is (10 sec: 11468.9, 60 sec: 11195.7, 300 sec: 10941.2). Total num frames: 8667136. Throughput: 0: 11116.1. Samples: 8663040. Policy #0 lag: (min: 17.0, avg: 20.3, max: 81.0) +[2026-06-04 12:47:52,874][524087] Avg episode reward: [(0, '4087.750')] +[2026-06-04 12:47:55,712][525115] Updated weights for policy 0, policy_version 17008 (0.0011) +[2026-06-04 12:47:57,873][524087] Fps is (10 sec: 9830.5, 60 sec: 10922.7, 300 sec: 10885.6). Total num frames: 8716288. Throughput: 0: 11059.2. Samples: 8730112. Policy #0 lag: (min: 42.0, avg: 45.7, max: 106.0) +[2026-06-04 12:47:57,874][524087] Avg episode reward: [(0, '4132.450')] +[2026-06-04 12:47:58,526][525034] Signal inference workers to stop experience collection... (800 times) +[2026-06-04 12:47:58,556][525115] InferenceWorker_p0-w0: stopping experience collection (800 times) +[2026-06-04 12:47:58,636][525034] Signal inference workers to resume experience collection... (800 times) +[2026-06-04 12:47:58,637][525115] InferenceWorker_p0-w0: resuming experience collection (800 times) +[2026-06-04 12:47:58,736][525115] Updated weights for policy 0, policy_version 17079 (0.0011) +[2026-06-04 12:48:01,701][525115] Updated weights for policy 0, policy_version 17152 (0.0011) +[2026-06-04 12:48:02,873][524087] Fps is (10 sec: 11468.9, 60 sec: 10922.7, 300 sec: 10996.7). Total num frames: 8781824. Throughput: 0: 11116.1. Samples: 8798720. Policy #0 lag: (min: 42.0, avg: 45.7, max: 106.0) +[2026-06-04 12:48:02,874][524087] Avg episode reward: [(0, '4112.600')] +[2026-06-04 12:48:07,218][525115] Updated weights for policy 0, policy_version 17249 (0.0015) +[2026-06-04 12:48:07,874][524087] Fps is (10 sec: 13106.9, 60 sec: 11468.8, 300 sec: 10996.7). Total num frames: 8847360. Throughput: 0: 11150.2. Samples: 8833024. Policy #0 lag: (min: 42.0, avg: 45.7, max: 106.0) +[2026-06-04 12:48:07,876][524087] Avg episode reward: [(0, '4237.200')] +[2026-06-04 12:48:07,880][525034] Saving new best policy, reward=4237.200! +[2026-06-04 12:48:10,405][525115] Updated weights for policy 0, policy_version 17329 (0.0011) +[2026-06-04 12:48:12,873][524087] Fps is (10 sec: 9830.3, 60 sec: 10922.7, 300 sec: 10885.6). Total num frames: 8880128. Throughput: 0: 11184.4. Samples: 8899072. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 12:48:12,874][524087] Avg episode reward: [(0, '4239.200')] +[2026-06-04 12:48:13,150][525034] Saving new best policy, reward=4239.200! +[2026-06-04 12:48:16,045][525115] Updated weights for policy 0, policy_version 17424 (0.0011) +[2026-06-04 12:48:17,874][524087] Fps is (10 sec: 9830.5, 60 sec: 10922.7, 300 sec: 10996.7). Total num frames: 8945664. Throughput: 0: 11127.5. Samples: 8963584. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 12:48:17,874][524087] Avg episode reward: [(0, '4261.550')] +[2026-06-04 12:48:17,878][525034] Saving new best policy, reward=4261.550! +[2026-06-04 12:48:19,121][525115] Updated weights for policy 0, policy_version 17489 (0.0012) +[2026-06-04 12:48:22,214][525115] Updated weights for policy 0, policy_version 17569 (0.0011) +[2026-06-04 12:48:22,874][524087] Fps is (10 sec: 13107.2, 60 sec: 11468.8, 300 sec: 10996.7). Total num frames: 9011200. Throughput: 0: 11116.1. Samples: 8997376. Policy #0 lag: (min: 56.0, avg: 60.6, max: 120.0) +[2026-06-04 12:48:22,875][524087] Avg episode reward: [(0, '4292.300')] +[2026-06-04 12:48:22,878][525034] Saving new best policy, reward=4292.300! +[2026-06-04 12:48:25,383][525115] Updated weights for policy 0, policy_version 17649 (0.0012) +[2026-06-04 12:48:27,873][524087] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10913.4). Total num frames: 9043968. Throughput: 0: 11082.0. Samples: 9062912. Policy #0 lag: (min: 56.0, avg: 60.6, max: 120.0) +[2026-06-04 12:48:27,874][524087] Avg episode reward: [(0, '4266.900')] +[2026-06-04 12:48:28,246][525115] Updated weights for policy 0, policy_version 17713 (0.0010) +[2026-06-04 12:48:31,343][525115] Updated weights for policy 0, policy_version 17792 (0.0012) +[2026-06-04 12:48:32,873][524087] Fps is (10 sec: 9830.6, 60 sec: 10922.7, 300 sec: 10996.7). Total num frames: 9109504. Throughput: 0: 11104.7. Samples: 9128960. Policy #0 lag: (min: 56.0, avg: 60.6, max: 120.0) +[2026-06-04 12:48:32,874][524087] Avg episode reward: [(0, '4372.550')] +[2026-06-04 12:48:32,878][525034] Saving new best policy, reward=4372.550! +[2026-06-04 12:48:36,764][525115] Updated weights for policy 0, policy_version 17872 (0.0010) +[2026-06-04 12:48:37,873][524087] Fps is (10 sec: 13107.2, 60 sec: 11332.3, 300 sec: 10996.7). Total num frames: 9175040. Throughput: 0: 11116.1. Samples: 9163264. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 12:48:37,874][524087] Avg episode reward: [(0, '4381.600')] +[2026-06-04 12:48:37,878][525034] Saving new best policy, reward=4381.600! +[2026-06-04 12:48:39,787][525115] Updated weights for policy 0, policy_version 17952 (0.0011) +[2026-06-04 12:48:42,688][525115] Updated weights for policy 0, policy_version 18032 (0.0011) +[2026-06-04 12:48:42,873][524087] Fps is (10 sec: 12287.9, 60 sec: 11332.3, 300 sec: 11052.3). Total num frames: 9232384. Throughput: 0: 11173.0. Samples: 9232896. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 12:48:42,874][524087] Avg episode reward: [(0, '4422.550')] +[2026-06-04 12:48:42,881][525034] Saving new best policy, reward=4422.550! +[2026-06-04 12:48:45,529][525115] Updated weights for policy 0, policy_version 18097 (0.0011) +[2026-06-04 12:48:47,873][524087] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10996.7). Total num frames: 9273344. Throughput: 0: 11195.7. Samples: 9302528. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 12:48:47,874][524087] Avg episode reward: [(0, '4459.200')] +[2026-06-04 12:48:47,879][525034] Saving new best policy, reward=4459.200! +[2026-06-04 12:48:48,172][525034] Signal inference workers to stop experience collection... (850 times) +[2026-06-04 12:48:48,201][525115] InferenceWorker_p0-w0: stopping experience collection (850 times) +[2026-06-04 12:48:48,286][525034] Signal inference workers to resume experience collection... (850 times) +[2026-06-04 12:48:48,287][525115] InferenceWorker_p0-w0: resuming experience collection (850 times) +[2026-06-04 12:48:51,063][525115] Updated weights for policy 0, policy_version 18192 (0.0011) +[2026-06-04 12:48:52,873][524087] Fps is (10 sec: 10649.7, 60 sec: 11195.8, 300 sec: 10996.7). Total num frames: 9338880. Throughput: 0: 11195.8. Samples: 9336832. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:48:52,874][524087] Avg episode reward: [(0, '4512.800')] +[2026-06-04 12:48:52,877][525034] Saving new best policy, reward=4512.800! +[2026-06-04 12:48:54,156][525115] Updated weights for policy 0, policy_version 18288 (0.0013) +[2026-06-04 12:48:57,355][525115] Updated weights for policy 0, policy_version 18365 (0.0010) +[2026-06-04 12:48:57,874][524087] Fps is (10 sec: 13106.8, 60 sec: 11468.7, 300 sec: 11107.8). Total num frames: 9404416. Throughput: 0: 11207.0. Samples: 9403392. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:48:57,874][524087] Avg episode reward: [(0, '4551.800')] +[2026-06-04 12:48:57,879][525034] Saving new best policy, reward=4551.800! +[2026-06-04 12:49:02,838][525115] Updated weights for policy 0, policy_version 18449 (0.0010) +[2026-06-04 12:49:02,873][524087] Fps is (10 sec: 10649.6, 60 sec: 11059.2, 300 sec: 11024.5). Total num frames: 9445376. Throughput: 0: 11264.0. Samples: 9470464. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:49:02,874][524087] Avg episode reward: [(0, '4590.650')] +[2026-06-04 12:49:03,027][525034] Saving new best policy, reward=4590.650! +[2026-06-04 12:49:06,034][525115] Updated weights for policy 0, policy_version 18544 (0.0012) +[2026-06-04 12:49:07,874][524087] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10996.7). Total num frames: 9502720. Throughput: 0: 11241.2. Samples: 9503232. Policy #0 lag: (min: 6.0, avg: 9.7, max: 70.0) +[2026-06-04 12:49:07,875][524087] Avg episode reward: [(0, '4588.300')] +[2026-06-04 12:49:09,139][525115] Updated weights for policy 0, policy_version 18622 (0.0012) +[2026-06-04 12:49:12,874][524087] Fps is (10 sec: 12287.8, 60 sec: 11468.8, 300 sec: 11107.8). Total num frames: 9568256. Throughput: 0: 11252.6. Samples: 9569280. Policy #0 lag: (min: 6.0, avg: 9.7, max: 70.0) +[2026-06-04 12:49:12,876][524087] Avg episode reward: [(0, '4612.800')] +[2026-06-04 12:49:12,881][525034] Saving new best policy, reward=4612.800! +[2026-06-04 12:49:14,445][525115] Updated weights for policy 0, policy_version 18704 (0.0013) +[2026-06-04 12:49:17,726][525115] Updated weights for policy 0, policy_version 18803 (0.0012) +[2026-06-04 12:49:17,874][524087] Fps is (10 sec: 13107.4, 60 sec: 11468.8, 300 sec: 11107.8). Total num frames: 9633792. Throughput: 0: 11275.3. Samples: 9636352. Policy #0 lag: (min: 6.0, avg: 9.7, max: 70.0) +[2026-06-04 12:49:17,875][524087] Avg episode reward: [(0, '4655.100')] +[2026-06-04 12:49:17,879][525034] Saving new best policy, reward=4655.100! +[2026-06-04 12:49:22,873][524087] Fps is (10 sec: 9830.5, 60 sec: 10922.7, 300 sec: 10996.7). Total num frames: 9666560. Throughput: 0: 11252.6. Samples: 9669632. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:49:22,874][524087] Avg episode reward: [(0, '4664.250')] +[2026-06-04 12:49:22,878][525034] Saving new best policy, reward=4664.250! +[2026-06-04 12:49:23,337][525115] Updated weights for policy 0, policy_version 18896 (0.0011) +[2026-06-04 12:49:26,523][525115] Updated weights for policy 0, policy_version 18976 (0.0009) +[2026-06-04 12:49:27,874][524087] Fps is (10 sec: 9830.4, 60 sec: 11468.8, 300 sec: 11107.8). Total num frames: 9732096. Throughput: 0: 11173.0. Samples: 9735680. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:49:27,875][524087] Avg episode reward: [(0, '4596.050')] +[2026-06-04 12:49:29,685][525115] Updated weights for policy 0, policy_version 19068 (0.0009) +[2026-06-04 12:49:32,874][524087] Fps is (10 sec: 13107.1, 60 sec: 11468.8, 300 sec: 11107.8). Total num frames: 9797632. Throughput: 0: 11116.1. Samples: 9802752. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:49:32,875][524087] Avg episode reward: [(0, '4610.400')] +[2026-06-04 12:49:35,250][525115] Updated weights for policy 0, policy_version 19168 (0.0011) +[2026-06-04 12:49:37,874][524087] Fps is (10 sec: 9829.7, 60 sec: 10922.5, 300 sec: 10996.7). Total num frames: 9830400. Throughput: 0: 11093.1. Samples: 9836032. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:49:37,876][524087] Avg episode reward: [(0, '4655.700')] +[2026-06-04 12:49:38,092][525034] Signal inference workers to stop experience collection... (900 times) +[2026-06-04 12:49:38,119][525115] InferenceWorker_p0-w0: stopping experience collection (900 times) +[2026-06-04 12:49:38,223][525034] Signal inference workers to resume experience collection... (900 times) +[2026-06-04 12:49:38,223][525115] InferenceWorker_p0-w0: resuming experience collection (900 times) +[2026-06-04 12:49:38,482][525115] Updated weights for policy 0, policy_version 19248 (0.0012) +[2026-06-04 12:49:41,421][525115] Updated weights for policy 0, policy_version 19319 (0.0008) +[2026-06-04 12:49:42,874][524087] Fps is (10 sec: 9830.4, 60 sec: 11059.2, 300 sec: 11107.8). Total num frames: 9895936. Throughput: 0: 11093.4. Samples: 9902592. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:49:42,875][524087] Avg episode reward: [(0, '4570.650')] +[2026-06-04 12:49:44,641][525115] Updated weights for policy 0, policy_version 19392 (0.0009) +[2026-06-04 12:49:47,874][524087] Fps is (10 sec: 13107.9, 60 sec: 11468.8, 300 sec: 11107.8). Total num frames: 9961472. Throughput: 0: 11013.6. Samples: 9966080. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:49:47,875][524087] Avg episode reward: [(0, '4768.300')] +[2026-06-04 12:49:47,880][525034] Saving new best policy, reward=4768.300! +[2026-06-04 12:49:50,361][525115] Updated weights for policy 0, policy_version 19505 (0.0012) +[2026-06-04 12:49:52,874][524087] Fps is (10 sec: 9830.5, 60 sec: 10922.6, 300 sec: 10996.7). Total num frames: 9994240. Throughput: 0: 11059.2. Samples: 10000896. Policy #0 lag: (min: 0.0, avg: 2.7, max: 64.0) +[2026-06-04 12:49:52,875][524087] Avg episode reward: [(0, '4944.400')] +[2026-06-04 12:49:52,881][525034] Saving new best policy, reward=4944.400! +[2026-06-04 12:49:53,508][525115] Updated weights for policy 0, policy_version 19584 (0.0011) +[2026-06-04 12:49:57,874][524087] Fps is (10 sec: 9830.6, 60 sec: 10922.7, 300 sec: 11107.8). Total num frames: 10059776. Throughput: 0: 11082.0. Samples: 10067968. Policy #0 lag: (min: 0.0, avg: 2.7, max: 64.0) +[2026-06-04 12:49:57,875][524087] Avg episode reward: [(0, '5006.100')] +[2026-06-04 12:49:57,879][525034] Saving new best policy, reward=5006.100! +[2026-06-04 12:49:58,941][525115] Updated weights for policy 0, policy_version 19680 (0.0010) +[2026-06-04 12:50:02,036][525115] Updated weights for policy 0, policy_version 19763 (0.0010) +[2026-06-04 12:50:02,873][524087] Fps is (10 sec: 13107.3, 60 sec: 11332.2, 300 sec: 11107.8). Total num frames: 10125312. Throughput: 0: 11104.7. Samples: 10136064. Policy #0 lag: (min: 0.0, avg: 2.7, max: 64.0) +[2026-06-04 12:50:02,874][524087] Avg episode reward: [(0, '5026.850')] +[2026-06-04 12:50:02,879][525034] Saving new best policy, reward=5026.850! +[2026-06-04 12:50:05,050][525115] Updated weights for policy 0, policy_version 19833 (0.0011) +[2026-06-04 12:50:07,874][524087] Fps is (10 sec: 12287.8, 60 sec: 11332.3, 300 sec: 11080.0). Total num frames: 10182656. Throughput: 0: 11127.4. Samples: 10170368. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:50:07,875][524087] Avg episode reward: [(0, '5130.550')] +[2026-06-04 12:50:07,943][525115] Updated weights for policy 0, policy_version 19902 (0.0010) +[2026-06-04 12:50:07,951][525034] Saving new best policy, reward=5130.550! +[2026-06-04 12:50:10,929][525115] Updated weights for policy 0, policy_version 19968 (0.0010) +[2026-06-04 12:50:12,873][524087] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 11107.8). Total num frames: 10223616. Throughput: 0: 11173.0. Samples: 10238464. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:50:12,874][524087] Avg episode reward: [(0, '5334.250')] +[2026-06-04 12:50:12,878][525034] Saving new best policy, reward=5334.250! +[2026-06-04 12:50:16,382][525115] Updated weights for policy 0, policy_version 20064 (0.0012) +[2026-06-04 12:50:17,874][524087] Fps is (10 sec: 10649.6, 60 sec: 10922.6, 300 sec: 11107.8). Total num frames: 10289152. Throughput: 0: 11195.7. Samples: 10306560. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:50:17,874][524087] Avg episode reward: [(0, '5283.650')] +[2026-06-04 12:50:19,431][525115] Updated weights for policy 0, policy_version 20145 (0.0013) +[2026-06-04 12:50:22,345][525115] Updated weights for policy 0, policy_version 20209 (0.0010) +[2026-06-04 12:50:22,873][524087] Fps is (10 sec: 13107.3, 60 sec: 11468.8, 300 sec: 11107.8). Total num frames: 10354688. Throughput: 0: 11195.9. Samples: 10339840. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:50:22,874][524087] Avg episode reward: [(0, '5200.550')] +[2026-06-04 12:50:25,013][525034] Signal inference workers to stop experience collection... (950 times) +[2026-06-04 12:50:25,042][525115] InferenceWorker_p0-w0: stopping experience collection (950 times) +[2026-06-04 12:50:25,128][525034] Signal inference workers to resume experience collection... (950 times) +[2026-06-04 12:50:25,128][525115] InferenceWorker_p0-w0: resuming experience collection (950 times) +[2026-06-04 12:50:25,313][525115] Updated weights for policy 0, policy_version 20287 (0.0012) +[2026-06-04 12:50:27,874][524087] Fps is (10 sec: 9830.3, 60 sec: 10922.6, 300 sec: 11107.8). Total num frames: 10387456. Throughput: 0: 11218.5. Samples: 10407424. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:50:27,875][524087] Avg episode reward: [(0, '5244.800')] +[2026-06-04 12:50:28,421][525115] Updated weights for policy 0, policy_version 20352 (0.0010) +[2026-06-04 12:50:32,874][524087] Fps is (10 sec: 9830.2, 60 sec: 10922.7, 300 sec: 11107.8). Total num frames: 10452992. Throughput: 0: 11286.8. Samples: 10473984. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:50:32,875][524087] Avg episode reward: [(0, '5182.800')] +[2026-06-04 12:50:33,819][525115] Updated weights for policy 0, policy_version 20432 (0.0009) +[2026-06-04 12:50:36,589][525115] Updated weights for policy 0, policy_version 20513 (0.0011) +[2026-06-04 12:50:37,874][524087] Fps is (10 sec: 13107.5, 60 sec: 11468.9, 300 sec: 11107.8). Total num frames: 10518528. Throughput: 0: 11355.0. Samples: 10511872. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:50:37,875][524087] Avg episode reward: [(0, '5103.900')] +[2026-06-04 12:50:39,643][525115] Updated weights for policy 0, policy_version 20596 (0.0011) +[2026-06-04 12:50:42,464][525115] Updated weights for policy 0, policy_version 20663 (0.0012) +[2026-06-04 12:50:42,873][524087] Fps is (10 sec: 13107.4, 60 sec: 11468.8, 300 sec: 11218.9). Total num frames: 10584064. Throughput: 0: 11400.5. Samples: 10580992. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:50:42,874][524087] Avg episode reward: [(0, '5056.600')] +[2026-06-04 12:50:47,807][525115] Updated weights for policy 0, policy_version 20737 (0.0009) +[2026-06-04 12:50:47,874][524087] Fps is (10 sec: 9830.2, 60 sec: 10922.7, 300 sec: 11107.8). Total num frames: 10616832. Throughput: 0: 11400.5. Samples: 10649088. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:50:47,875][524087] Avg episode reward: [(0, '5103.150')] +[2026-06-04 12:50:50,567][525115] Updated weights for policy 0, policy_version 20816 (0.0009) +[2026-06-04 12:50:52,874][524087] Fps is (10 sec: 9830.3, 60 sec: 11468.8, 300 sec: 11107.8). Total num frames: 10682368. Throughput: 0: 11411.9. Samples: 10683904. Policy #0 lag: (min: 31.0, avg: 34.7, max: 95.0) +[2026-06-04 12:50:52,874][524087] Avg episode reward: [(0, '5127.500')] +[2026-06-04 12:50:53,453][525115] Updated weights for policy 0, policy_version 20880 (0.0006) +[2026-06-04 12:50:56,381][525115] Updated weights for policy 0, policy_version 20960 (0.0011) +[2026-06-04 12:50:57,874][524087] Fps is (10 sec: 13107.4, 60 sec: 11468.8, 300 sec: 11218.9). Total num frames: 10747904. Throughput: 0: 11434.7. Samples: 10753024. Policy #0 lag: (min: 31.0, avg: 34.7, max: 95.0) +[2026-06-04 12:50:57,875][524087] Avg episode reward: [(0, '5200.500')] +[2026-06-04 12:50:59,280][525115] Updated weights for policy 0, policy_version 21049 (0.0010) +[2026-06-04 12:51:02,228][525115] Updated weights for policy 0, policy_version 21120 (0.0006) +[2026-06-04 12:51:02,873][524087] Fps is (10 sec: 13107.3, 60 sec: 11468.8, 300 sec: 11218.9). Total num frames: 10813440. Throughput: 0: 11514.4. Samples: 10824704. Policy #0 lag: (min: 31.0, avg: 34.7, max: 95.0) +[2026-06-04 12:51:02,874][524087] Avg episode reward: [(0, '5214.600')] +[2026-06-04 12:51:07,599][525115] Updated weights for policy 0, policy_version 21232 (0.0011) +[2026-06-04 12:51:07,873][524087] Fps is (10 sec: 13107.3, 60 sec: 11605.4, 300 sec: 11218.9). Total num frames: 10878976. Throughput: 0: 11559.8. Samples: 10860032. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:51:07,874][524087] Avg episode reward: [(0, '5202.800')] +[2026-06-04 12:51:10,706][525115] Updated weights for policy 0, policy_version 21307 (0.0010) +[2026-06-04 12:51:12,874][524087] Fps is (10 sec: 9830.3, 60 sec: 11468.8, 300 sec: 11135.6). Total num frames: 10911744. Throughput: 0: 11548.5. Samples: 10927104. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:51:12,874][524087] Avg episode reward: [(0, '5225.750')] +[2026-06-04 12:51:13,309][525034] Signal inference workers to stop experience collection... (1000 times) +[2026-06-04 12:51:13,339][525115] InferenceWorker_p0-w0: stopping experience collection (1000 times) +[2026-06-04 12:51:13,418][525034] Signal inference workers to resume experience collection... (1000 times) +[2026-06-04 12:51:13,419][525115] InferenceWorker_p0-w0: resuming experience collection (1000 times) +[2026-06-04 12:51:16,435][525115] Updated weights for policy 0, policy_version 21424 (0.0011) +[2026-06-04 12:51:17,873][524087] Fps is (10 sec: 9830.4, 60 sec: 11468.8, 300 sec: 11218.9). Total num frames: 10977280. Throughput: 0: 11571.2. Samples: 10994688. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:51:17,874][524087] Avg episode reward: [(0, '5269.650')] +[2026-06-04 12:51:19,302][525115] Updated weights for policy 0, policy_version 21492 (0.0009) +[2026-06-04 12:51:22,221][525115] Updated weights for policy 0, policy_version 21567 (0.0009) +[2026-06-04 12:51:22,874][524087] Fps is (10 sec: 13107.2, 60 sec: 11468.8, 300 sec: 11218.9). Total num frames: 11042816. Throughput: 0: 11537.1. Samples: 11031040. Policy #0 lag: (min: 31.0, avg: 34.0, max: 95.0) +[2026-06-04 12:51:22,875][524087] Avg episode reward: [(0, '5460.300')] +[2026-06-04 12:51:22,880][525034] Saving new best policy, reward=5460.300! +[2026-06-04 12:51:27,416][525115] Updated weights for policy 0, policy_version 21633 (0.0010) +[2026-06-04 12:51:27,874][524087] Fps is (10 sec: 12287.9, 60 sec: 11878.4, 300 sec: 11218.9). Total num frames: 11100160. Throughput: 0: 11537.0. Samples: 11100160. Policy #0 lag: (min: 31.0, avg: 34.0, max: 95.0) +[2026-06-04 12:51:27,875][524087] Avg episode reward: [(0, '5544.850')] +[2026-06-04 12:51:27,920][525034] Saving new best policy, reward=5544.850! +[2026-06-04 12:51:30,476][525115] Updated weights for policy 0, policy_version 21728 (0.0010) +[2026-06-04 12:51:32,874][524087] Fps is (10 sec: 9830.3, 60 sec: 11468.8, 300 sec: 11218.9). Total num frames: 11141120. Throughput: 0: 11571.2. Samples: 11169792. Policy #0 lag: (min: 31.0, avg: 34.0, max: 95.0) +[2026-06-04 12:51:32,875][524087] Avg episode reward: [(0, '5624.050')] +[2026-06-04 12:51:32,879][525034] Saving new best policy, reward=5624.050! +[2026-06-04 12:51:33,469][525115] Updated weights for policy 0, policy_version 21811 (0.0009) +[2026-06-04 12:51:36,413][525115] Updated weights for policy 0, policy_version 21880 (0.0005) +[2026-06-04 12:51:37,874][524087] Fps is (10 sec: 10649.6, 60 sec: 11468.8, 300 sec: 11218.9). Total num frames: 11206656. Throughput: 0: 11571.2. Samples: 11204608. Policy #0 lag: (min: 8.0, avg: 11.5, max: 72.0) +[2026-06-04 12:51:37,875][524087] Avg episode reward: [(0, '5732.400')] +[2026-06-04 12:51:37,881][525034] Saving new best policy, reward=5732.400! +[2026-06-04 12:51:41,666][525115] Updated weights for policy 0, policy_version 21953 (0.0009) +[2026-06-04 12:51:42,874][524087] Fps is (10 sec: 13107.3, 60 sec: 11468.8, 300 sec: 11246.6). Total num frames: 11272192. Throughput: 0: 11559.8. Samples: 11273216. Policy #0 lag: (min: 8.0, avg: 11.5, max: 72.0) +[2026-06-04 12:51:42,876][524087] Avg episode reward: [(0, '5876.650')] +[2026-06-04 12:51:42,881][525034] Saving new best policy, reward=5876.650! +[2026-06-04 12:51:44,641][525115] Updated weights for policy 0, policy_version 22032 (0.0011) +[2026-06-04 12:51:47,841][525115] Updated weights for policy 0, policy_version 22128 (0.0012) +[2026-06-04 12:51:47,874][524087] Fps is (10 sec: 12288.0, 60 sec: 11878.4, 300 sec: 11302.2). Total num frames: 11329536. Throughput: 0: 11423.3. Samples: 11338752. Policy #0 lag: (min: 8.0, avg: 11.5, max: 72.0) +[2026-06-04 12:51:47,874][524087] Avg episode reward: [(0, '5763.000')] +[2026-06-04 12:51:50,919][525115] Updated weights for policy 0, policy_version 22207 (0.0012) +[2026-06-04 12:51:52,874][524087] Fps is (10 sec: 9830.5, 60 sec: 11468.8, 300 sec: 11218.9). Total num frames: 11370496. Throughput: 0: 11389.1. Samples: 11372544. Policy #0 lag: (min: 8.0, avg: 11.5, max: 72.0) +[2026-06-04 12:51:52,875][524087] Avg episode reward: [(0, '5698.100')] +[2026-06-04 12:51:56,408][525115] Updated weights for policy 0, policy_version 22288 (0.0012) +[2026-06-04 12:51:57,873][524087] Fps is (10 sec: 10649.6, 60 sec: 11468.8, 300 sec: 11218.9). Total num frames: 11436032. Throughput: 0: 11377.8. Samples: 11439104. Policy #0 lag: (min: 7.0, avg: 10.8, max: 71.0) +[2026-06-04 12:51:57,874][524087] Avg episode reward: [(0, '5669.700')] +[2026-06-04 12:51:59,448][525115] Updated weights for policy 0, policy_version 22384 (0.0013) +[2026-06-04 12:52:01,788][525034] Signal inference workers to stop experience collection... (1050 times) +[2026-06-04 12:52:01,816][525115] InferenceWorker_p0-w0: stopping experience collection (1050 times) +[2026-06-04 12:52:01,913][525034] Signal inference workers to resume experience collection... (1050 times) +[2026-06-04 12:52:01,914][525115] InferenceWorker_p0-w0: resuming experience collection (1050 times) +[2026-06-04 12:52:02,257][525115] Updated weights for policy 0, policy_version 22455 (0.0013) +[2026-06-04 12:52:02,874][524087] Fps is (10 sec: 13107.1, 60 sec: 11468.8, 300 sec: 11330.0). Total num frames: 11501568. Throughput: 0: 11457.4. Samples: 11510272. Policy #0 lag: (min: 7.0, avg: 10.8, max: 71.0) +[2026-06-04 12:52:02,875][524087] Avg episode reward: [(0, '5814.600')] +[2026-06-04 12:52:07,539][525115] Updated weights for policy 0, policy_version 22529 (0.0013) +[2026-06-04 12:52:07,873][524087] Fps is (10 sec: 12288.1, 60 sec: 11332.3, 300 sec: 11302.2). Total num frames: 11558912. Throughput: 0: 11400.6. Samples: 11544064. Policy #0 lag: (min: 7.0, avg: 10.8, max: 71.0) +[2026-06-04 12:52:07,874][524087] Avg episode reward: [(0, '5806.850')] +[2026-06-04 12:52:10,587][525115] Updated weights for policy 0, policy_version 22624 (0.0011) +[2026-06-04 12:52:12,874][524087] Fps is (10 sec: 9830.4, 60 sec: 11468.8, 300 sec: 11218.9). Total num frames: 11599872. Throughput: 0: 11434.7. Samples: 11614720. Policy #0 lag: (min: 1.0, avg: 4.9, max: 65.0) +[2026-06-04 12:52:12,874][524087] Avg episode reward: [(0, '5869.600')] +[2026-06-04 12:52:13,585][525115] Updated weights for policy 0, policy_version 22710 (0.0011) +[2026-06-04 12:52:17,873][524087] Fps is (10 sec: 10649.5, 60 sec: 11468.8, 300 sec: 11330.0). Total num frames: 11665408. Throughput: 0: 11389.2. Samples: 11682304. Policy #0 lag: (min: 1.0, avg: 4.9, max: 65.0) +[2026-06-04 12:52:17,875][524087] Avg episode reward: [(0, '5929.450')] +[2026-06-04 12:52:17,879][525034] Saving new best policy, reward=5929.450! +[2026-06-04 12:52:19,048][525115] Updated weights for policy 0, policy_version 22800 (0.0009) +[2026-06-04 12:52:22,029][525115] Updated weights for policy 0, policy_version 22896 (0.0009) +[2026-06-04 12:52:22,873][524087] Fps is (10 sec: 13107.4, 60 sec: 11468.8, 300 sec: 11330.0). Total num frames: 11730944. Throughput: 0: 11423.3. Samples: 11718656. Policy #0 lag: (min: 1.0, avg: 4.9, max: 65.0) +[2026-06-04 12:52:22,874][524087] Avg episode reward: [(0, '5863.750')] +[2026-06-04 12:52:24,958][525115] Updated weights for policy 0, policy_version 22976 (0.0009) +[2026-06-04 12:52:27,874][524087] Fps is (10 sec: 13107.0, 60 sec: 11605.3, 300 sec: 11329.9). Total num frames: 11796480. Throughput: 0: 11491.5. Samples: 11790336. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:52:27,875][524087] Avg episode reward: [(0, '5787.350')] +[2026-06-04 12:52:30,210][525115] Updated weights for policy 0, policy_version 23056 (0.0010) +[2026-06-04 12:52:32,874][524087] Fps is (10 sec: 9830.2, 60 sec: 11468.8, 300 sec: 11302.2). Total num frames: 11829248. Throughput: 0: 11571.2. Samples: 11859456. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:52:32,875][524087] Avg episode reward: [(0, '5781.350')] +[2026-06-04 12:52:33,269][525115] Updated weights for policy 0, policy_version 23152 (0.0011) +[2026-06-04 12:52:36,127][525115] Updated weights for policy 0, policy_version 23226 (0.0011) +[2026-06-04 12:52:37,874][524087] Fps is (10 sec: 9830.5, 60 sec: 11468.8, 300 sec: 11330.0). Total num frames: 11894784. Throughput: 0: 11616.7. Samples: 11895296. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:52:37,875][524087] Avg episode reward: [(0, '5869.200')] +[2026-06-04 12:52:41,296][525115] Updated weights for policy 0, policy_version 23297 (0.0010) +[2026-06-04 12:52:42,874][524087] Fps is (10 sec: 13107.2, 60 sec: 11468.8, 300 sec: 11330.0). Total num frames: 11960320. Throughput: 0: 11650.8. Samples: 11963392. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:52:42,876][524087] Avg episode reward: [(0, '6034.300')] +[2026-06-04 12:52:42,880][525034] Saving new best policy, reward=6034.300! +[2026-06-04 12:52:44,469][525115] Updated weights for policy 0, policy_version 23392 (0.0011) +[2026-06-04 12:52:47,471][525034] Signal inference workers to stop experience collection... (1100 times) +[2026-06-04 12:52:47,500][525115] InferenceWorker_p0-w0: stopping experience collection (1100 times) +[2026-06-04 12:52:47,594][525034] Signal inference workers to resume experience collection... (1100 times) +[2026-06-04 12:52:47,595][525115] InferenceWorker_p0-w0: resuming experience collection (1100 times) +[2026-06-04 12:52:47,658][525115] Updated weights for policy 0, policy_version 23475 (0.0010) +[2026-06-04 12:52:47,874][524087] Fps is (10 sec: 13107.3, 60 sec: 11605.3, 300 sec: 11385.5). Total num frames: 12025856. Throughput: 0: 11525.7. Samples: 12028928. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) +[2026-06-04 12:52:47,875][524087] Avg episode reward: [(0, '6042.100')] +[2026-06-04 12:52:47,879][525034] Saving new best policy, reward=6042.100! +[2026-06-04 12:52:52,873][524087] Fps is (10 sec: 9830.5, 60 sec: 11468.8, 300 sec: 11330.0). Total num frames: 12058624. Throughput: 0: 11514.3. Samples: 12062208. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) +[2026-06-04 12:52:52,874][524087] Avg episode reward: [(0, '6206.700')] +[2026-06-04 12:52:52,877][525034] Saving new best policy, reward=6206.700! +[2026-06-04 12:52:53,188][525115] Updated weights for policy 0, policy_version 23568 (0.0009) +[2026-06-04 12:52:56,435][525115] Updated weights for policy 0, policy_version 23664 (0.0011) +[2026-06-04 12:52:57,874][524087] Fps is (10 sec: 9830.3, 60 sec: 11468.8, 300 sec: 11329.9). Total num frames: 12124160. Throughput: 0: 11434.6. Samples: 12129280. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) +[2026-06-04 12:52:57,875][524087] Avg episode reward: [(0, '6421.850')] +[2026-06-04 12:52:57,880][525034] Saving new best policy, reward=6421.850! +[2026-06-04 12:52:59,413][525115] Updated weights for policy 0, policy_version 23737 (0.0012) +[2026-06-04 12:53:02,421][525115] Updated weights for policy 0, policy_version 23808 (0.0011) +[2026-06-04 12:53:02,874][524087] Fps is (10 sec: 13107.0, 60 sec: 11468.8, 300 sec: 11330.0). Total num frames: 12189696. Throughput: 0: 11446.0. Samples: 12197376. Policy #0 lag: (min: 1.0, avg: 4.6, max: 65.0) +[2026-06-04 12:53:02,875][524087] Avg episode reward: [(0, '6346.050')] +[2026-06-04 12:53:05,270][525115] Updated weights for policy 0, policy_version 23871 (0.0011) +[2026-06-04 12:53:07,873][524087] Fps is (10 sec: 12288.3, 60 sec: 11468.8, 300 sec: 11413.3). Total num frames: 12247040. Throughput: 0: 11446.0. Samples: 12233728. Policy #0 lag: (min: 1.0, avg: 4.6, max: 65.0) +[2026-06-04 12:53:07,874][524087] Avg episode reward: [(0, '6422.200')] +[2026-06-04 12:53:08,003][525115] Updated weights for policy 0, policy_version 23934 (0.0010) +[2026-06-04 12:53:08,010][525034] Saving new best policy, reward=6422.200! +[2026-06-04 12:53:12,873][524087] Fps is (10 sec: 9830.5, 60 sec: 11468.8, 300 sec: 11330.0). Total num frames: 12288000. Throughput: 0: 11423.3. Samples: 12304384. Policy #0 lag: (min: 1.0, avg: 4.6, max: 65.0) +[2026-06-04 12:53:12,874][524087] Avg episode reward: [(0, '6470.000')] +[2026-06-04 12:53:12,878][525034] Saving new best policy, reward=6470.000! +[2026-06-04 12:53:13,364][525115] Updated weights for policy 0, policy_version 24032 (0.0010) +[2026-06-04 12:53:16,408][525115] Updated weights for policy 0, policy_version 24115 (0.0010) +[2026-06-04 12:53:17,874][524087] Fps is (10 sec: 10649.4, 60 sec: 11468.8, 300 sec: 11330.0). Total num frames: 12353536. Throughput: 0: 11411.9. Samples: 12372992. Policy #0 lag: (min: 1.0, avg: 4.6, max: 65.0) +[2026-06-04 12:53:17,875][524087] Avg episode reward: [(0, '6488.250')] +[2026-06-04 12:53:17,882][525034] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride5_seed14/checkpoint_p0/checkpoint_000024128_12353536.pth... +[2026-06-04 12:53:17,919][525034] Saving new best policy, reward=6488.250! +[2026-06-04 12:53:19,364][525115] Updated weights for policy 0, policy_version 24188 (0.0008) +[2026-06-04 12:53:22,873][524087] Fps is (10 sec: 13107.2, 60 sec: 11468.8, 300 sec: 11441.0). Total num frames: 12419072. Throughput: 0: 11343.7. Samples: 12405760. Policy #0 lag: (min: 10.0, avg: 13.9, max: 74.0) +[2026-06-04 12:53:22,874][524087] Avg episode reward: [(0, '6611.900')] +[2026-06-04 12:53:22,878][525034] Saving new best policy, reward=6611.900! +[2026-06-04 12:53:24,701][525115] Updated weights for policy 0, policy_version 24272 (0.0010) +[2026-06-04 12:53:27,831][525115] Updated weights for policy 0, policy_version 24374 (0.0008) +[2026-06-04 12:53:27,873][524087] Fps is (10 sec: 12288.2, 60 sec: 11332.3, 300 sec: 11413.3). Total num frames: 12476416. Throughput: 0: 11411.9. Samples: 12476928. Policy #0 lag: (min: 10.0, avg: 13.9, max: 74.0) +[2026-06-04 12:53:27,874][524087] Avg episode reward: [(0, '6465.300')] +[2026-06-04 12:53:32,873][524087] Fps is (10 sec: 9830.4, 60 sec: 11468.8, 300 sec: 11330.0). Total num frames: 12517376. Throughput: 0: 11468.8. Samples: 12545024. Policy #0 lag: (min: 10.0, avg: 13.9, max: 74.0) +[2026-06-04 12:53:32,874][524087] Avg episode reward: [(0, '6258.750')] +[2026-06-04 12:53:33,278][525115] Updated weights for policy 0, policy_version 24464 (0.0006) +[2026-06-04 12:53:35,937][525034] Signal inference workers to stop experience collection... (1150 times) +[2026-06-04 12:53:35,938][525115] Updated weights for policy 0, policy_version 24528 (0.0006) +[2026-06-04 12:53:35,966][525115] InferenceWorker_p0-w0: stopping experience collection (1150 times) +[2026-06-04 12:53:36,045][525034] Signal inference workers to resume experience collection... (1150 times) +[2026-06-04 12:53:36,046][525115] InferenceWorker_p0-w0: resuming experience collection (1150 times) +[2026-06-04 12:53:37,873][524087] Fps is (10 sec: 10649.5, 60 sec: 11468.8, 300 sec: 11357.7). Total num frames: 12582912. Throughput: 0: 11559.8. Samples: 12582400. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 12:53:37,874][524087] Avg episode reward: [(0, '6228.050')] +[2026-06-04 12:53:38,828][525115] Updated weights for policy 0, policy_version 24608 (0.0011) +[2026-06-04 12:53:41,817][525115] Updated weights for policy 0, policy_version 24691 (0.0011) +[2026-06-04 12:53:42,874][524087] Fps is (10 sec: 13107.2, 60 sec: 11468.8, 300 sec: 11441.0). Total num frames: 12648448. Throughput: 0: 11582.6. Samples: 12650496. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 12:53:42,875][524087] Avg episode reward: [(0, '6025.200')] +[2026-06-04 12:53:44,676][525115] Updated weights for policy 0, policy_version 24765 (0.0011) +[2026-06-04 12:53:47,873][524087] Fps is (10 sec: 13107.3, 60 sec: 11468.8, 300 sec: 11441.0). Total num frames: 12713984. Throughput: 0: 11605.4. Samples: 12719616. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 12:53:47,874][524087] Avg episode reward: [(0, '5856.500')] +[2026-06-04 12:53:49,892][525115] Updated weights for policy 0, policy_version 24848 (0.0012) +[2026-06-04 12:53:52,768][525115] Updated weights for policy 0, policy_version 24913 (0.0011) +[2026-06-04 12:53:52,873][524087] Fps is (10 sec: 11469.0, 60 sec: 11741.9, 300 sec: 11385.5). Total num frames: 12763136. Throughput: 0: 11605.3. Samples: 12755968. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) +[2026-06-04 12:53:52,874][524087] Avg episode reward: [(0, '5853.950')] +[2026-06-04 12:53:55,826][525115] Updated weights for policy 0, policy_version 24993 (0.0012) +[2026-06-04 12:53:57,874][524087] Fps is (10 sec: 9830.3, 60 sec: 11468.8, 300 sec: 11413.3). Total num frames: 12812288. Throughput: 0: 11571.2. Samples: 12825088. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) +[2026-06-04 12:53:57,874][524087] Avg episode reward: [(0, '5971.550')] +[2026-06-04 12:53:58,832][525115] Updated weights for policy 0, policy_version 25075 (0.0012) +[2026-06-04 12:54:01,996][525115] Updated weights for policy 0, policy_version 25152 (0.0011) +[2026-06-04 12:54:02,873][524087] Fps is (10 sec: 11468.7, 60 sec: 11468.8, 300 sec: 11441.0). Total num frames: 12877824. Throughput: 0: 11525.7. Samples: 12891648. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) +[2026-06-04 12:54:02,874][524087] Avg episode reward: [(0, '6278.500')] +[2026-06-04 12:54:07,392][525115] Updated weights for policy 0, policy_version 25248 (0.0012) +[2026-06-04 12:54:07,873][524087] Fps is (10 sec: 13107.3, 60 sec: 11605.3, 300 sec: 11441.0). Total num frames: 12943360. Throughput: 0: 11559.8. Samples: 12925952. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) +[2026-06-04 12:54:07,874][524087] Avg episode reward: [(0, '6326.950')] +[2026-06-04 12:54:10,385][525115] Updated weights for policy 0, policy_version 25336 (0.0013) +[2026-06-04 12:54:12,874][524087] Fps is (10 sec: 9830.4, 60 sec: 11468.8, 300 sec: 11330.0). Total num frames: 12976128. Throughput: 0: 11537.0. Samples: 12996096. Policy #0 lag: (min: 3.0, avg: 6.9, max: 67.0) +[2026-06-04 12:54:12,875][524087] Avg episode reward: [(0, '6430.800')] +[2026-06-04 12:54:15,943][525115] Updated weights for policy 0, policy_version 25424 (0.0012) +[2026-06-04 12:54:17,873][524087] Fps is (10 sec: 9830.3, 60 sec: 11468.8, 300 sec: 11441.0). Total num frames: 13041664. Throughput: 0: 11525.7. Samples: 13063680. Policy #0 lag: (min: 3.0, avg: 6.9, max: 67.0) +[2026-06-04 12:54:17,874][524087] Avg episode reward: [(0, '6654.600')] +[2026-06-04 12:54:17,879][525034] Saving new best policy, reward=6654.600! +[2026-06-04 12:54:18,822][525115] Updated weights for policy 0, policy_version 25504 (0.0012) +[2026-06-04 12:54:21,729][525115] Updated weights for policy 0, policy_version 25585 (0.0012) +[2026-06-04 12:54:22,873][524087] Fps is (10 sec: 13107.3, 60 sec: 11468.8, 300 sec: 11441.0). Total num frames: 13107200. Throughput: 0: 11502.9. Samples: 13100032. Policy #0 lag: (min: 3.0, avg: 6.9, max: 67.0) +[2026-06-04 12:54:22,874][524087] Avg episode reward: [(0, '6693.600')] +[2026-06-04 12:54:22,878][525034] Saving new best policy, reward=6693.600! +[2026-06-04 12:54:24,063][525034] Signal inference workers to stop experience collection... (1200 times) +[2026-06-04 12:54:24,090][525115] InferenceWorker_p0-w0: stopping experience collection (1200 times) +[2026-06-04 12:54:24,195][525034] Signal inference workers to resume experience collection... (1200 times) +[2026-06-04 12:54:24,196][525115] InferenceWorker_p0-w0: resuming experience collection (1200 times) +[2026-06-04 12:54:24,606][525115] Updated weights for policy 0, policy_version 25662 (0.0012) +[2026-06-04 12:54:27,509][525115] Updated weights for policy 0, policy_version 25728 (0.0012) +[2026-06-04 12:54:27,873][524087] Fps is (10 sec: 13107.3, 60 sec: 11605.3, 300 sec: 11441.0). Total num frames: 13172736. Throughput: 0: 11559.8. Samples: 13170688. Policy #0 lag: (min: 7.0, avg: 10.8, max: 71.0) +[2026-06-04 12:54:27,874][524087] Avg episode reward: [(0, '6608.050')] +[2026-06-04 12:54:32,857][525115] Updated weights for policy 0, policy_version 25824 (0.0013) +[2026-06-04 12:54:32,873][524087] Fps is (10 sec: 11468.8, 60 sec: 11741.9, 300 sec: 11496.6). Total num frames: 13221888. Throughput: 0: 11548.4. Samples: 13239296. Policy #0 lag: (min: 7.0, avg: 10.8, max: 71.0) +[2026-06-04 12:54:32,874][524087] Avg episode reward: [(0, '6654.300')] +[2026-06-04 12:54:35,821][525115] Updated weights for policy 0, policy_version 25904 (0.0013) +[2026-06-04 12:54:37,873][524087] Fps is (10 sec: 9830.3, 60 sec: 11468.8, 300 sec: 11441.0). Total num frames: 13271040. Throughput: 0: 11468.8. Samples: 13272064. Policy #0 lag: (min: 7.0, avg: 10.8, max: 71.0) +[2026-06-04 12:54:37,874][524087] Avg episode reward: [(0, '6819.000')] +[2026-06-04 12:54:37,879][525034] Saving new best policy, reward=6819.000! +[2026-06-04 12:54:38,663][525115] Updated weights for policy 0, policy_version 25969 (0.0015) +[2026-06-04 12:54:41,773][525115] Updated weights for policy 0, policy_version 26046 (0.0012) +[2026-06-04 12:54:42,874][524087] Fps is (10 sec: 11468.7, 60 sec: 11468.8, 300 sec: 11441.0). Total num frames: 13336576. Throughput: 0: 11434.7. Samples: 13339648. Policy #0 lag: (min: 7.0, avg: 10.8, max: 71.0) +[2026-06-04 12:54:42,875][524087] Avg episode reward: [(0, '6875.250')] +[2026-06-04 12:54:42,880][525034] Saving new best policy, reward=6875.250! +[2026-06-04 12:54:46,942][525115] Updated weights for policy 0, policy_version 26128 (0.0007) +[2026-06-04 12:54:47,874][524087] Fps is (10 sec: 13107.2, 60 sec: 11468.8, 300 sec: 11552.1). Total num frames: 13402112. Throughput: 0: 11537.1. Samples: 13410816. Policy #0 lag: (min: 23.0, avg: 26.0, max: 87.0) +[2026-06-04 12:54:47,874][524087] Avg episode reward: [(0, '6846.550')] +[2026-06-04 12:54:50,064][525115] Updated weights for policy 0, policy_version 26224 (0.0008) +[2026-06-04 12:54:52,826][525115] Updated weights for policy 0, policy_version 26292 (0.0008) +[2026-06-04 12:54:52,873][524087] Fps is (10 sec: 12288.1, 60 sec: 11605.3, 300 sec: 11524.3). Total num frames: 13459456. Throughput: 0: 11559.8. Samples: 13446144. Policy #0 lag: (min: 23.0, avg: 26.0, max: 87.0) +[2026-06-04 12:54:52,874][524087] Avg episode reward: [(0, '6875.450')] +[2026-06-04 12:54:52,928][525034] Saving new best policy, reward=6875.450! +[2026-06-04 12:54:55,778][525115] Updated weights for policy 0, policy_version 26368 (0.0010) +[2026-06-04 12:54:57,873][524087] Fps is (10 sec: 9830.5, 60 sec: 11468.8, 300 sec: 11441.0). Total num frames: 13500416. Throughput: 0: 11571.2. Samples: 13516800. Policy #0 lag: (min: 23.0, avg: 26.0, max: 87.0) +[2026-06-04 12:54:57,874][524087] Avg episode reward: [(0, '6793.550')] +[2026-06-04 12:55:00,886][525115] Updated weights for policy 0, policy_version 26448 (0.0010) +[2026-06-04 12:55:02,873][524087] Fps is (10 sec: 10649.6, 60 sec: 11468.8, 300 sec: 11468.8). Total num frames: 13565952. Throughput: 0: 11628.1. Samples: 13586944. Policy #0 lag: (min: 23.0, avg: 26.0, max: 87.0) +[2026-06-04 12:55:02,874][524087] Avg episode reward: [(0, '6664.750')] +[2026-06-04 12:55:04,002][525115] Updated weights for policy 0, policy_version 26544 (0.0010) +[2026-06-04 12:55:07,873][524087] Fps is (10 sec: 13107.2, 60 sec: 11468.8, 300 sec: 11552.1). Total num frames: 13631488. Throughput: 0: 11571.2. Samples: 13620736. Policy #0 lag: (min: 9.0, avg: 12.8, max: 73.0) +[2026-06-04 12:55:07,874][524087] Avg episode reward: [(0, '6719.800')] +[2026-06-04 12:55:09,418][525115] Updated weights for policy 0, policy_version 26625 (0.0010) +[2026-06-04 12:55:09,632][525034] Signal inference workers to stop experience collection... (1250 times) +[2026-06-04 12:55:09,661][525115] InferenceWorker_p0-w0: stopping experience collection (1250 times) +[2026-06-04 12:55:09,740][525034] Signal inference workers to resume experience collection... (1250 times) +[2026-06-04 12:55:09,741][525115] InferenceWorker_p0-w0: resuming experience collection (1250 times) +[2026-06-04 12:55:12,501][525115] Updated weights for policy 0, policy_version 26736 (0.0009) +[2026-06-04 12:55:12,873][524087] Fps is (10 sec: 13107.3, 60 sec: 12015.0, 300 sec: 11552.1). Total num frames: 13697024. Throughput: 0: 11594.0. Samples: 13692416. Policy #0 lag: (min: 9.0, avg: 12.8, max: 73.0) +[2026-06-04 12:55:12,874][524087] Avg episode reward: [(0, '6726.050')] +[2026-06-04 12:55:15,551][525115] Updated weights for policy 0, policy_version 26814 (0.0010) +[2026-06-04 12:55:17,873][524087] Fps is (10 sec: 9830.4, 60 sec: 11468.8, 300 sec: 11441.0). Total num frames: 13729792. Throughput: 0: 11593.9. Samples: 13761024. Policy #0 lag: (min: 9.0, avg: 12.8, max: 73.0) +[2026-06-04 12:55:17,874][524087] Avg episode reward: [(0, '6780.200')] +[2026-06-04 12:55:20,803][525115] Updated weights for policy 0, policy_version 26896 (0.0010) +[2026-06-04 12:55:22,873][524087] Fps is (10 sec: 9830.4, 60 sec: 11468.8, 300 sec: 11552.1). Total num frames: 13795328. Throughput: 0: 11639.5. Samples: 13795840. Policy #0 lag: (min: 9.0, avg: 12.8, max: 73.0) +[2026-06-04 12:55:22,874][524087] Avg episode reward: [(0, '6860.500')] +[2026-06-04 12:55:23,835][525115] Updated weights for policy 0, policy_version 26977 (0.0010) +[2026-06-04 12:55:26,711][525115] Updated weights for policy 0, policy_version 27056 (0.0010) +[2026-06-04 12:55:27,873][524087] Fps is (10 sec: 13107.3, 60 sec: 11468.8, 300 sec: 11552.1). Total num frames: 13860864. Throughput: 0: 11639.5. Samples: 13863424. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:55:27,874][524087] Avg episode reward: [(0, '6932.100')] +[2026-06-04 12:55:27,877][525034] Saving new best policy, reward=6932.100! +[2026-06-04 12:55:29,501][525115] Updated weights for policy 0, policy_version 27120 (0.0010) +[2026-06-04 12:55:32,369][525115] Updated weights for policy 0, policy_version 27185 (0.0009) +[2026-06-04 12:55:32,873][524087] Fps is (10 sec: 13107.1, 60 sec: 11741.9, 300 sec: 11552.1). Total num frames: 13926400. Throughput: 0: 11605.4. Samples: 13933056. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:55:32,874][524087] Avg episode reward: [(0, '7023.950')] +[2026-06-04 12:55:32,879][525034] Saving new best policy, reward=7023.950! +[2026-06-04 12:55:35,342][525115] Updated weights for policy 0, policy_version 27264 (0.0010) +[2026-06-04 12:55:37,873][524087] Fps is (10 sec: 10649.6, 60 sec: 11605.4, 300 sec: 11468.8). Total num frames: 13967360. Throughput: 0: 11594.0. Samples: 13967872. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:55:37,874][524087] Avg episode reward: [(0, '7008.750')] +[2026-06-04 12:55:40,953][525115] Updated weights for policy 0, policy_version 27376 (0.0010) +[2026-06-04 12:55:42,873][524087] Fps is (10 sec: 9830.4, 60 sec: 11468.8, 300 sec: 11552.1). Total num frames: 14024704. Throughput: 0: 11525.7. Samples: 14035456. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:55:42,874][524087] Avg episode reward: [(0, '7067.600')] +[2026-06-04 12:55:42,878][525034] Saving new best policy, reward=7067.600! +[2026-06-04 12:55:43,918][525115] Updated weights for policy 0, policy_version 27449 (0.0010) +[2026-06-04 12:55:46,815][525115] Updated weights for policy 0, policy_version 27520 (0.0010) +[2026-06-04 12:55:47,873][524087] Fps is (10 sec: 12288.0, 60 sec: 11468.8, 300 sec: 11552.1). Total num frames: 14090240. Throughput: 0: 11525.7. Samples: 14105600. Policy #0 lag: (min: 3.0, avg: 6.4, max: 67.0) +[2026-06-04 12:55:47,874][524087] Avg episode reward: [(0, '7005.250')] +[2026-06-04 12:55:52,296][525115] Updated weights for policy 0, policy_version 27633 (0.0012) +[2026-06-04 12:55:52,873][524087] Fps is (10 sec: 13107.3, 60 sec: 11605.3, 300 sec: 11552.1). Total num frames: 14155776. Throughput: 0: 11559.8. Samples: 14140928. Policy #0 lag: (min: 3.0, avg: 6.4, max: 67.0) +[2026-06-04 12:55:52,874][524087] Avg episode reward: [(0, '6923.900')] +[2026-06-04 12:55:55,165][525115] Updated weights for policy 0, policy_version 27699 (0.0010) +[2026-06-04 12:55:57,458][525034] Signal inference workers to stop experience collection... (1300 times) +[2026-06-04 12:55:57,488][525115] InferenceWorker_p0-w0: stopping experience collection (1300 times) +[2026-06-04 12:55:57,566][525034] Signal inference workers to resume experience collection... (1300 times) +[2026-06-04 12:55:57,567][525115] InferenceWorker_p0-w0: resuming experience collection (1300 times) +[2026-06-04 12:55:57,866][525115] Updated weights for policy 0, policy_version 27773 (0.0010) +[2026-06-04 12:55:57,873][524087] Fps is (10 sec: 12288.0, 60 sec: 11878.4, 300 sec: 11524.3). Total num frames: 14213120. Throughput: 0: 11571.2. Samples: 14213120. Policy #0 lag: (min: 3.0, avg: 6.4, max: 67.0) +[2026-06-04 12:55:57,874][524087] Avg episode reward: [(0, '7036.350')] +[2026-06-04 12:56:02,875][524087] Fps is (10 sec: 9828.8, 60 sec: 11468.5, 300 sec: 11441.0). Total num frames: 14254080. Throughput: 0: 11604.9. Samples: 14283264. Policy #0 lag: (min: 3.0, avg: 6.4, max: 67.0) +[2026-06-04 12:56:02,877][524087] Avg episode reward: [(0, '7076.550')] +[2026-06-04 12:56:02,881][525034] Saving new best policy, reward=7076.550! +[2026-06-04 12:56:03,205][525115] Updated weights for policy 0, policy_version 27856 (0.0009) +[2026-06-04 12:56:05,907][525115] Updated weights for policy 0, policy_version 27920 (0.0005) +[2026-06-04 12:56:07,873][524087] Fps is (10 sec: 10649.5, 60 sec: 11468.8, 300 sec: 11552.1). Total num frames: 14319616. Throughput: 0: 11639.4. Samples: 14319616. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:56:07,874][524087] Avg episode reward: [(0, '7196.800')] +[2026-06-04 12:56:07,879][525034] Saving new best policy, reward=7196.800! +[2026-06-04 12:56:08,760][525115] Updated weights for policy 0, policy_version 28016 (0.0005) +[2026-06-04 12:56:11,907][525115] Updated weights for policy 0, policy_version 28096 (0.0009) +[2026-06-04 12:56:12,874][524087] Fps is (10 sec: 13109.2, 60 sec: 11468.8, 300 sec: 11552.1). Total num frames: 14385152. Throughput: 0: 11628.1. Samples: 14386688. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:56:12,876][524087] Avg episode reward: [(0, '7269.850')] +[2026-06-04 12:56:12,881][525034] Saving new best policy, reward=7269.850! +[2026-06-04 12:56:17,386][525115] Updated weights for policy 0, policy_version 28192 (0.0011) +[2026-06-04 12:56:17,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 11552.1). Total num frames: 14450688. Throughput: 0: 11605.3. Samples: 14455296. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:56:17,874][524087] Avg episode reward: [(0, '7315.100')] +[2026-06-04 12:56:17,878][525034] Saving new best policy, reward=7315.100! +[2026-06-04 12:56:20,348][525115] Updated weights for policy 0, policy_version 28276 (0.0010) +[2026-06-04 12:56:22,874][524087] Fps is (10 sec: 10649.6, 60 sec: 11605.3, 300 sec: 11496.6). Total num frames: 14491648. Throughput: 0: 11616.7. Samples: 14490624. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:56:22,875][524087] Avg episode reward: [(0, '7293.950')] +[2026-06-04 12:56:23,196][525115] Updated weights for policy 0, policy_version 28348 (0.0010) +[2026-06-04 12:56:26,046][525115] Updated weights for policy 0, policy_version 28416 (0.0010) +[2026-06-04 12:56:27,873][524087] Fps is (10 sec: 9830.4, 60 sec: 11468.8, 300 sec: 11552.1). Total num frames: 14548992. Throughput: 0: 11707.7. Samples: 14562304. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:56:27,874][524087] Avg episode reward: [(0, '7330.000')] +[2026-06-04 12:56:27,878][525034] Saving new best policy, reward=7330.000! +[2026-06-04 12:56:30,998][525115] Updated weights for policy 0, policy_version 28481 (0.0009) +[2026-06-04 12:56:32,873][524087] Fps is (10 sec: 12288.1, 60 sec: 11468.8, 300 sec: 11552.1). Total num frames: 14614528. Throughput: 0: 11741.8. Samples: 14633984. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:56:32,874][524087] Avg episode reward: [(0, '7341.700')] +[2026-06-04 12:56:32,878][525034] Saving new best policy, reward=7341.700! +[2026-06-04 12:56:33,922][525115] Updated weights for policy 0, policy_version 28561 (0.0010) +[2026-06-04 12:56:37,027][525115] Updated weights for policy 0, policy_version 28656 (0.0010) +[2026-06-04 12:56:37,873][524087] Fps is (10 sec: 13107.2, 60 sec: 11878.4, 300 sec: 11552.1). Total num frames: 14680064. Throughput: 0: 11730.5. Samples: 14668800. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:56:37,874][524087] Avg episode reward: [(0, '7313.650')] +[2026-06-04 12:56:39,940][525115] Updated weights for policy 0, policy_version 28726 (0.0010) +[2026-06-04 12:56:42,735][525115] Updated weights for policy 0, policy_version 28796 (0.0009) +[2026-06-04 12:56:42,873][524087] Fps is (10 sec: 13107.3, 60 sec: 12014.9, 300 sec: 11579.9). Total num frames: 14745600. Throughput: 0: 11685.0. Samples: 14738944. Policy #0 lag: (min: 3.0, avg: 7.2, max: 67.0) +[2026-06-04 12:56:42,874][524087] Avg episode reward: [(0, '7414.150')] +[2026-06-04 12:56:42,878][525034] Saving new best policy, reward=7414.150! +[2026-06-04 12:56:45,119][525034] Signal inference workers to stop experience collection... (1350 times) +[2026-06-04 12:56:45,146][525115] InferenceWorker_p0-w0: stopping experience collection (1350 times) +[2026-06-04 12:56:45,245][525034] Signal inference workers to resume experience collection... (1350 times) +[2026-06-04 12:56:45,245][525115] InferenceWorker_p0-w0: resuming experience collection (1350 times) +[2026-06-04 12:56:47,873][524087] Fps is (10 sec: 9830.4, 60 sec: 11468.8, 300 sec: 11552.1). Total num frames: 14778368. Throughput: 0: 11685.4. Samples: 14809088. Policy #0 lag: (min: 3.0, avg: 7.2, max: 67.0) +[2026-06-04 12:56:47,874][524087] Avg episode reward: [(0, '7486.500')] +[2026-06-04 12:56:47,878][525034] Saving new best policy, reward=7486.500! +[2026-06-04 12:56:48,045][525115] Updated weights for policy 0, policy_version 28880 (0.0011) +[2026-06-04 12:56:51,018][525115] Updated weights for policy 0, policy_version 28961 (0.0010) +[2026-06-04 12:56:52,874][524087] Fps is (10 sec: 9830.2, 60 sec: 11468.8, 300 sec: 11552.1). Total num frames: 14843904. Throughput: 0: 11650.8. Samples: 14843904. Policy #0 lag: (min: 3.0, avg: 7.2, max: 67.0) +[2026-06-04 12:56:52,875][524087] Avg episode reward: [(0, '7521.800')] +[2026-06-04 12:56:52,879][525034] Saving new best policy, reward=7521.800! +[2026-06-04 12:56:53,958][525115] Updated weights for policy 0, policy_version 29041 (0.0011) +[2026-06-04 12:56:56,774][525115] Updated weights for policy 0, policy_version 29119 (0.0008) +[2026-06-04 12:56:57,873][524087] Fps is (10 sec: 13107.2, 60 sec: 11605.3, 300 sec: 11552.1). Total num frames: 14909440. Throughput: 0: 11673.6. Samples: 14912000. Policy #0 lag: (min: 3.0, avg: 7.2, max: 67.0) +[2026-06-04 12:56:57,874][524087] Avg episode reward: [(0, '7568.000')] +[2026-06-04 12:56:57,878][525034] Saving new best policy, reward=7568.000! +[2026-06-04 12:57:02,076][525115] Updated weights for policy 0, policy_version 29200 (0.0005) +[2026-06-04 12:57:02,873][524087] Fps is (10 sec: 13107.4, 60 sec: 12015.2, 300 sec: 11579.9). Total num frames: 14974976. Throughput: 0: 11696.3. Samples: 14981632. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:57:02,874][524087] Avg episode reward: [(0, '7564.450')] +[2026-06-04 12:57:04,931][525115] Updated weights for policy 0, policy_version 29296 (0.0007) +[2026-06-04 12:57:07,873][524087] Fps is (10 sec: 12288.0, 60 sec: 11878.4, 300 sec: 11635.4). Total num frames: 15032320. Throughput: 0: 11730.5. Samples: 15018496. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:57:07,874][524087] Avg episode reward: [(0, '7477.300')] +[2026-06-04 12:57:07,939][525115] Updated weights for policy 0, policy_version 29376 (0.0010) +[2026-06-04 12:57:12,873][524087] Fps is (10 sec: 9830.4, 60 sec: 11468.8, 300 sec: 11552.1). Total num frames: 15073280. Throughput: 0: 11719.1. Samples: 15089664. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:57:12,874][524087] Avg episode reward: [(0, '7335.200')] +[2026-06-04 12:57:13,086][525115] Updated weights for policy 0, policy_version 29456 (0.0009) +[2026-06-04 12:57:16,108][525115] Updated weights for policy 0, policy_version 29552 (0.0010) +[2026-06-04 12:57:17,873][524087] Fps is (10 sec: 10649.6, 60 sec: 11468.8, 300 sec: 11552.1). Total num frames: 15138816. Throughput: 0: 11707.7. Samples: 15160832. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:57:17,874][524087] Avg episode reward: [(0, '7404.050')] +[2026-06-04 12:57:19,098][525115] Updated weights for policy 0, policy_version 29625 (0.0009) +[2026-06-04 12:57:22,016][525115] Updated weights for policy 0, policy_version 29696 (0.0009) +[2026-06-04 12:57:22,873][524087] Fps is (10 sec: 13107.2, 60 sec: 11878.4, 300 sec: 11552.1). Total num frames: 15204352. Throughput: 0: 11696.4. Samples: 15195136. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:57:22,874][524087] Avg episode reward: [(0, '7496.250')] +[2026-06-04 12:57:27,428][525115] Updated weights for policy 0, policy_version 29792 (0.0010) +[2026-06-04 12:57:27,873][524087] Fps is (10 sec: 13107.3, 60 sec: 12014.9, 300 sec: 11663.2). Total num frames: 15269888. Throughput: 0: 11662.2. Samples: 15263744. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:57:27,874][524087] Avg episode reward: [(0, '7591.050')] +[2026-06-04 12:57:27,878][525034] Saving new best policy, reward=7591.050! +[2026-06-04 12:57:30,177][525034] Signal inference workers to stop experience collection... (1400 times) +[2026-06-04 12:57:30,206][525115] InferenceWorker_p0-w0: stopping experience collection (1400 times) +[2026-06-04 12:57:30,286][525034] Signal inference workers to resume experience collection... (1400 times) +[2026-06-04 12:57:30,286][525115] InferenceWorker_p0-w0: resuming experience collection (1400 times) +[2026-06-04 12:57:30,326][525115] Updated weights for policy 0, policy_version 29873 (0.0009) +[2026-06-04 12:57:32,874][524087] Fps is (10 sec: 10649.5, 60 sec: 11605.3, 300 sec: 11579.9). Total num frames: 15310848. Throughput: 0: 11707.7. Samples: 15335936. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:57:32,876][524087] Avg episode reward: [(0, '7639.500')] +[2026-06-04 12:57:33,079][525034] Saving new best policy, reward=7639.500! +[2026-06-04 12:57:33,255][525115] Updated weights for policy 0, policy_version 29949 (0.0009) +[2026-06-04 12:57:37,873][524087] Fps is (10 sec: 9830.4, 60 sec: 11468.8, 300 sec: 11552.1). Total num frames: 15368192. Throughput: 0: 11673.6. Samples: 15369216. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:57:37,874][524087] Avg episode reward: [(0, '7805.200')] +[2026-06-04 12:57:37,878][525034] Saving new best policy, reward=7805.200! +[2026-06-04 12:57:38,408][525115] Updated weights for policy 0, policy_version 30032 (0.0009) +[2026-06-04 12:57:41,436][525115] Updated weights for policy 0, policy_version 30129 (0.0009) +[2026-06-04 12:57:42,873][524087] Fps is (10 sec: 12288.2, 60 sec: 11468.8, 300 sec: 11552.1). Total num frames: 15433728. Throughput: 0: 11730.5. Samples: 15439872. Policy #0 lag: (min: 0.0, avg: 3.8, max: 64.0) +[2026-06-04 12:57:42,874][524087] Avg episode reward: [(0, '8025.900')] +[2026-06-04 12:57:42,878][525034] Saving new best policy, reward=8025.900! +[2026-06-04 12:57:44,404][525115] Updated weights for policy 0, policy_version 30208 (0.0010) +[2026-06-04 12:57:47,320][525115] Updated weights for policy 0, policy_version 30272 (0.0010) +[2026-06-04 12:57:47,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 11663.2). Total num frames: 15499264. Throughput: 0: 11741.9. Samples: 15510016. Policy #0 lag: (min: 0.0, avg: 3.8, max: 64.0) +[2026-06-04 12:57:47,874][524087] Avg episode reward: [(0, '8152.350')] +[2026-06-04 12:57:47,878][525034] Saving new best policy, reward=8152.350! +[2026-06-04 12:57:52,282][525115] Updated weights for policy 0, policy_version 30337 (0.0010) +[2026-06-04 12:57:52,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12015.0, 300 sec: 11663.2). Total num frames: 15564800. Throughput: 0: 11707.7. Samples: 15545344. Policy #0 lag: (min: 0.0, avg: 3.8, max: 64.0) +[2026-06-04 12:57:52,874][524087] Avg episode reward: [(0, '8139.650')] +[2026-06-04 12:57:55,112][525115] Updated weights for policy 0, policy_version 30416 (0.0010) +[2026-06-04 12:57:57,873][524087] Fps is (10 sec: 10649.6, 60 sec: 11605.3, 300 sec: 11579.9). Total num frames: 15605760. Throughput: 0: 11719.1. Samples: 15617024. Policy #0 lag: (min: 0.0, avg: 3.8, max: 64.0) +[2026-06-04 12:57:57,874][524087] Avg episode reward: [(0, '8108.250')] +[2026-06-04 12:57:58,050][525115] Updated weights for policy 0, policy_version 30512 (0.0009) +[2026-06-04 12:58:00,925][525115] Updated weights for policy 0, policy_version 30583 (0.0009) +[2026-06-04 12:58:02,873][524087] Fps is (10 sec: 9830.4, 60 sec: 11468.8, 300 sec: 11579.9). Total num frames: 15663104. Throughput: 0: 11753.3. Samples: 15689728. Policy #0 lag: (min: 49.0, avg: 51.9, max: 113.0) +[2026-06-04 12:58:02,874][524087] Avg episode reward: [(0, '8185.650')] +[2026-06-04 12:58:02,878][525034] Saving new best policy, reward=8185.650! +[2026-06-04 12:58:03,788][525115] Updated weights for policy 0, policy_version 30654 (0.0006) +[2026-06-04 12:58:07,873][524087] Fps is (10 sec: 12287.9, 60 sec: 11605.3, 300 sec: 11663.2). Total num frames: 15728640. Throughput: 0: 11776.0. Samples: 15725056. Policy #0 lag: (min: 49.0, avg: 51.9, max: 113.0) +[2026-06-04 12:58:07,874][524087] Avg episode reward: [(0, '8153.150')] +[2026-06-04 12:58:08,869][525115] Updated weights for policy 0, policy_version 30721 (0.0006) +[2026-06-04 12:58:11,768][525115] Updated weights for policy 0, policy_version 30800 (0.0007) +[2026-06-04 12:58:12,873][524087] Fps is (10 sec: 13107.1, 60 sec: 12014.9, 300 sec: 11663.2). Total num frames: 15794176. Throughput: 0: 11798.7. Samples: 15794688. Policy #0 lag: (min: 49.0, avg: 51.9, max: 113.0) +[2026-06-04 12:58:12,874][524087] Avg episode reward: [(0, '8185.450')] +[2026-06-04 12:58:14,667][525115] Updated weights for policy 0, policy_version 30881 (0.0009) +[2026-06-04 12:58:17,278][525034] Signal inference workers to stop experience collection... (1450 times) +[2026-06-04 12:58:17,308][525115] InferenceWorker_p0-w0: stopping experience collection (1450 times) +[2026-06-04 12:58:17,383][525034] Signal inference workers to resume experience collection... (1450 times) +[2026-06-04 12:58:17,384][525115] InferenceWorker_p0-w0: resuming experience collection (1450 times) +[2026-06-04 12:58:17,551][525115] Updated weights for policy 0, policy_version 30961 (0.0010) +[2026-06-04 12:58:17,873][524087] Fps is (10 sec: 13107.1, 60 sec: 12014.9, 300 sec: 11663.2). Total num frames: 15859712. Throughput: 0: 11741.9. Samples: 15864320. Policy #0 lag: (min: 49.0, avg: 51.9, max: 113.0) +[2026-06-04 12:58:17,874][524087] Avg episode reward: [(0, '8240.500')] +[2026-06-04 12:58:17,878][525034] Saving new best policy, reward=8240.500! +[2026-06-04 12:58:20,246][525115] Updated weights for policy 0, policy_version 31031 (0.0009) +[2026-06-04 12:58:22,873][524087] Fps is (10 sec: 11468.9, 60 sec: 11741.9, 300 sec: 11635.4). Total num frames: 15908864. Throughput: 0: 11832.9. Samples: 15901696. Policy #0 lag: (min: 8.0, avg: 12.6, max: 72.0) +[2026-06-04 12:58:22,874][524087] Avg episode reward: [(0, '8326.750')] +[2026-06-04 12:58:23,119][525034] Saving new best policy, reward=8326.750! +[2026-06-04 12:58:25,406][525115] Updated weights for policy 0, policy_version 31106 (0.0010) +[2026-06-04 12:58:27,873][524087] Fps is (10 sec: 9830.4, 60 sec: 11468.8, 300 sec: 11663.2). Total num frames: 15958016. Throughput: 0: 11832.9. Samples: 15972352. Policy #0 lag: (min: 8.0, avg: 12.6, max: 72.0) +[2026-06-04 12:58:27,874][524087] Avg episode reward: [(0, '8539.150')] +[2026-06-04 12:58:27,878][525034] Saving new best policy, reward=8539.150! +[2026-06-04 12:58:28,461][525115] Updated weights for policy 0, policy_version 31201 (0.0009) +[2026-06-04 12:58:31,777][525115] Updated weights for policy 0, policy_version 31296 (0.0010) +[2026-06-04 12:58:32,874][524087] Fps is (10 sec: 11468.5, 60 sec: 11878.4, 300 sec: 11663.2). Total num frames: 16023552. Throughput: 0: 11764.6. Samples: 16039424. Policy #0 lag: (min: 8.0, avg: 12.6, max: 72.0) +[2026-06-04 12:58:32,875][524087] Avg episode reward: [(0, '8592.550')] +[2026-06-04 12:58:32,879][525034] Saving new best policy, reward=8592.550! +[2026-06-04 12:58:37,078][525115] Updated weights for policy 0, policy_version 31408 (0.0009) +[2026-06-04 12:58:37,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 11663.2). Total num frames: 16089088. Throughput: 0: 11821.5. Samples: 16077312. Policy #0 lag: (min: 8.0, avg: 12.6, max: 72.0) +[2026-06-04 12:58:37,874][524087] Avg episode reward: [(0, '8466.400')] +[2026-06-04 12:58:39,938][525115] Updated weights for policy 0, policy_version 31477 (0.0009) +[2026-06-04 12:58:42,722][525115] Updated weights for policy 0, policy_version 31549 (0.0009) +[2026-06-04 12:58:42,873][524087] Fps is (10 sec: 13107.6, 60 sec: 12014.9, 300 sec: 11663.2). Total num frames: 16154624. Throughput: 0: 11810.1. Samples: 16148480. Policy #0 lag: (min: 8.0, avg: 12.6, max: 72.0) +[2026-06-04 12:58:42,874][524087] Avg episode reward: [(0, '8436.950')] +[2026-06-04 12:58:45,548][525115] Updated weights for policy 0, policy_version 31616 (0.0008) +[2026-06-04 12:58:47,874][524087] Fps is (10 sec: 10649.5, 60 sec: 11605.3, 300 sec: 11635.4). Total num frames: 16195584. Throughput: 0: 11798.7. Samples: 16220672. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 12:58:47,875][524087] Avg episode reward: [(0, '8387.950')] +[2026-06-04 12:58:48,294][525115] Updated weights for policy 0, policy_version 31680 (0.0007) +[2026-06-04 12:58:52,873][524087] Fps is (10 sec: 9830.4, 60 sec: 11468.8, 300 sec: 11663.2). Total num frames: 16252928. Throughput: 0: 11764.6. Samples: 16254464. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 12:58:52,874][524087] Avg episode reward: [(0, '8135.200')] +[2026-06-04 12:58:53,328][525115] Updated weights for policy 0, policy_version 31760 (0.0010) +[2026-06-04 12:58:56,162][525115] Updated weights for policy 0, policy_version 31840 (0.0009) +[2026-06-04 12:58:57,873][524087] Fps is (10 sec: 12288.1, 60 sec: 11878.4, 300 sec: 11663.2). Total num frames: 16318464. Throughput: 0: 11810.1. Samples: 16326144. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 12:58:57,874][524087] Avg episode reward: [(0, '8075.200')] +[2026-06-04 12:58:59,115][525115] Updated weights for policy 0, policy_version 31920 (0.0009) +[2026-06-04 12:59:01,995][525115] Updated weights for policy 0, policy_version 31997 (0.0011) +[2026-06-04 12:59:02,874][524087] Fps is (10 sec: 13106.7, 60 sec: 12014.9, 300 sec: 11663.2). Total num frames: 16384000. Throughput: 0: 11832.8. Samples: 16396800. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 12:59:02,875][524087] Avg episode reward: [(0, '8159.750')] +[2026-06-04 12:59:04,342][525034] Signal inference workers to stop experience collection... (1500 times) +[2026-06-04 12:59:04,393][525115] InferenceWorker_p0-w0: stopping experience collection (1500 times) +[2026-06-04 12:59:04,503][525034] Signal inference workers to resume experience collection... (1500 times) +[2026-06-04 12:59:04,504][525115] InferenceWorker_p0-w0: resuming experience collection (1500 times) +[2026-06-04 12:59:07,357][525115] Updated weights for policy 0, policy_version 32080 (0.0010) +[2026-06-04 12:59:07,874][524087] Fps is (10 sec: 13107.0, 60 sec: 12014.9, 300 sec: 11774.3). Total num frames: 16449536. Throughput: 0: 11753.2. Samples: 16430592. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:59:07,874][524087] Avg episode reward: [(0, '8039.600')] +[2026-06-04 12:59:10,373][525115] Updated weights for policy 0, policy_version 32176 (0.0010) +[2026-06-04 12:59:12,873][524087] Fps is (10 sec: 9830.8, 60 sec: 11468.8, 300 sec: 11663.2). Total num frames: 16482304. Throughput: 0: 11730.5. Samples: 16500224. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:59:12,874][524087] Avg episode reward: [(0, '8193.350')] +[2026-06-04 12:59:13,399][525115] Updated weights for policy 0, policy_version 32250 (0.0010) +[2026-06-04 12:59:16,277][525115] Updated weights for policy 0, policy_version 32320 (0.0010) +[2026-06-04 12:59:17,874][524087] Fps is (10 sec: 9830.3, 60 sec: 11468.8, 300 sec: 11663.2). Total num frames: 16547840. Throughput: 0: 11832.9. Samples: 16571904. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:59:17,875][524087] Avg episode reward: [(0, '8271.700')] +[2026-06-04 12:59:21,551][525115] Updated weights for policy 0, policy_version 32416 (0.0012) +[2026-06-04 12:59:22,873][524087] Fps is (10 sec: 13107.2, 60 sec: 11741.9, 300 sec: 11663.2). Total num frames: 16613376. Throughput: 0: 11764.6. Samples: 16606720. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:59:22,874][524087] Avg episode reward: [(0, '8417.750')] +[2026-06-04 12:59:24,564][525115] Updated weights for policy 0, policy_version 32496 (0.0011) +[2026-06-04 12:59:27,327][525115] Updated weights for policy 0, policy_version 32563 (0.0010) +[2026-06-04 12:59:27,873][524087] Fps is (10 sec: 13107.5, 60 sec: 12014.9, 300 sec: 11718.7). Total num frames: 16678912. Throughput: 0: 11741.9. Samples: 16676864. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:59:27,874][524087] Avg episode reward: [(0, '8591.300')] +[2026-06-04 12:59:32,758][525115] Updated weights for policy 0, policy_version 32656 (0.0010) +[2026-06-04 12:59:32,873][524087] Fps is (10 sec: 10649.5, 60 sec: 11605.4, 300 sec: 11691.0). Total num frames: 16719872. Throughput: 0: 11650.9. Samples: 16744960. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 12:59:32,874][524087] Avg episode reward: [(0, '8503.800')] +[2026-06-04 12:59:35,607][525115] Updated weights for policy 0, policy_version 32721 (0.0010) +[2026-06-04 12:59:37,873][524087] Fps is (10 sec: 9830.4, 60 sec: 11468.8, 300 sec: 11663.2). Total num frames: 16777216. Throughput: 0: 11650.8. Samples: 16778752. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 12:59:37,874][524087] Avg episode reward: [(0, '8578.050')] +[2026-06-04 12:59:38,352][525115] Updated weights for policy 0, policy_version 32800 (0.0010) +[2026-06-04 12:59:41,053][525115] Updated weights for policy 0, policy_version 32865 (0.0009) +[2026-06-04 12:59:42,873][524087] Fps is (10 sec: 12288.1, 60 sec: 11468.8, 300 sec: 11663.2). Total num frames: 16842752. Throughput: 0: 11685.0. Samples: 16851968. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 12:59:42,874][524087] Avg episode reward: [(0, '8703.800')] +[2026-06-04 12:59:42,879][525034] Saving new best policy, reward=8703.800! +[2026-06-04 12:59:43,986][525115] Updated weights for policy 0, policy_version 32948 (0.0010) +[2026-06-04 12:59:47,874][524087] Fps is (10 sec: 13106.9, 60 sec: 11878.4, 300 sec: 11690.9). Total num frames: 16908288. Throughput: 0: 11685.0. Samples: 16922624. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 12:59:47,875][524087] Avg episode reward: [(0, '8756.550')] +[2026-06-04 12:59:47,879][525034] Saving new best policy, reward=8756.550! +[2026-06-04 12:59:49,295][525115] Updated weights for policy 0, policy_version 33040 (0.0009) +[2026-06-04 12:59:49,401][525034] Signal inference workers to stop experience collection... (1550 times) +[2026-06-04 12:59:49,430][525115] InferenceWorker_p0-w0: stopping experience collection (1550 times) +[2026-06-04 12:59:49,507][525034] Signal inference workers to resume experience collection... (1550 times) +[2026-06-04 12:59:49,507][525115] InferenceWorker_p0-w0: resuming experience collection (1550 times) +[2026-06-04 12:59:52,406][525115] Updated weights for policy 0, policy_version 33136 (0.0009) +[2026-06-04 12:59:52,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 11774.3). Total num frames: 16973824. Throughput: 0: 11696.4. Samples: 16956928. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:59:52,874][524087] Avg episode reward: [(0, '8824.050')] +[2026-06-04 12:59:52,878][525034] Saving new best policy, reward=8824.050! +[2026-06-04 12:59:55,356][525115] Updated weights for policy 0, policy_version 33208 (0.0009) +[2026-06-04 12:59:57,873][524087] Fps is (10 sec: 10649.9, 60 sec: 11605.3, 300 sec: 11691.0). Total num frames: 17014784. Throughput: 0: 11707.7. Samples: 17027072. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:59:57,874][524087] Avg episode reward: [(0, '8957.500')] +[2026-06-04 12:59:58,022][525034] Saving new best policy, reward=8957.500! +[2026-06-04 12:59:58,224][525115] Updated weights for policy 0, policy_version 33280 (0.0009) +[2026-06-04 13:00:02,873][524087] Fps is (10 sec: 9830.3, 60 sec: 11468.9, 300 sec: 11663.2). Total num frames: 17072128. Throughput: 0: 11753.3. Samples: 17100800. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 13:00:02,874][524087] Avg episode reward: [(0, '9059.400')] +[2026-06-04 13:00:02,878][525034] Saving new best policy, reward=9059.400! +[2026-06-04 13:00:03,124][525115] Updated weights for policy 0, policy_version 33360 (0.0009) +[2026-06-04 13:00:06,067][525115] Updated weights for policy 0, policy_version 33456 (0.0011) +[2026-06-04 13:00:07,873][524087] Fps is (10 sec: 12287.9, 60 sec: 11468.8, 300 sec: 11663.2). Total num frames: 17137664. Throughput: 0: 11798.7. Samples: 17137664. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 13:00:07,874][524087] Avg episode reward: [(0, '9158.450')] +[2026-06-04 13:00:07,878][525034] Saving new best policy, reward=9158.450! +[2026-06-04 13:00:08,850][525115] Updated weights for policy 0, policy_version 33523 (0.0010) +[2026-06-04 13:00:11,628][525115] Updated weights for policy 0, policy_version 33600 (0.0010) +[2026-06-04 13:00:12,873][524087] Fps is (10 sec: 13107.4, 60 sec: 12014.9, 300 sec: 11774.3). Total num frames: 17203200. Throughput: 0: 11810.1. Samples: 17208320. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 13:00:12,874][524087] Avg episode reward: [(0, '9190.450')] +[2026-06-04 13:00:12,878][525034] Saving new best policy, reward=9190.450! +[2026-06-04 13:00:16,831][525115] Updated weights for policy 0, policy_version 33697 (0.0010) +[2026-06-04 13:00:17,874][524087] Fps is (10 sec: 13107.1, 60 sec: 12015.0, 300 sec: 11774.3). Total num frames: 17268736. Throughput: 0: 11901.1. Samples: 17280512. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 13:00:17,875][524087] Avg episode reward: [(0, '9131.600')] +[2026-06-04 13:00:19,790][525115] Updated weights for policy 0, policy_version 33785 (0.0010) +[2026-06-04 13:00:22,630][525115] Updated weights for policy 0, policy_version 33847 (0.0006) +[2026-06-04 13:00:22,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 11774.3). Total num frames: 17334272. Throughput: 0: 11923.9. Samples: 17315328. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 13:00:22,874][524087] Avg episode reward: [(0, '8981.150')] +[2026-06-04 13:00:27,695][525115] Updated weights for policy 0, policy_version 33936 (0.0009) +[2026-06-04 13:00:27,873][524087] Fps is (10 sec: 11469.0, 60 sec: 11741.9, 300 sec: 11718.7). Total num frames: 17383424. Throughput: 0: 11935.3. Samples: 17389056. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 13:00:27,874][524087] Avg episode reward: [(0, '9051.150')] +[2026-06-04 13:00:30,621][525115] Updated weights for policy 0, policy_version 34016 (0.0009) +[2026-06-04 13:00:32,873][524087] Fps is (10 sec: 9830.3, 60 sec: 11878.4, 300 sec: 11746.5). Total num frames: 17432576. Throughput: 0: 11958.1. Samples: 17460736. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 13:00:32,875][524087] Avg episode reward: [(0, '8869.000')] +[2026-06-04 13:00:33,498][525115] Updated weights for policy 0, policy_version 34096 (0.0008) +[2026-06-04 13:00:35,902][525034] Signal inference workers to stop experience collection... (1600 times) +[2026-06-04 13:00:35,932][525115] InferenceWorker_p0-w0: stopping experience collection (1600 times) +[2026-06-04 13:00:36,007][525034] Signal inference workers to resume experience collection... (1600 times) +[2026-06-04 13:00:36,007][525115] InferenceWorker_p0-w0: resuming experience collection (1600 times) +[2026-06-04 13:00:36,235][525115] Updated weights for policy 0, policy_version 34170 (0.0008) +[2026-06-04 13:00:37,873][524087] Fps is (10 sec: 11468.7, 60 sec: 12014.9, 300 sec: 11774.3). Total num frames: 17498112. Throughput: 0: 12014.9. Samples: 17497600. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 13:00:37,874][524087] Avg episode reward: [(0, '8797.450')] +[2026-06-04 13:00:39,022][525115] Updated weights for policy 0, policy_version 34239 (0.0010) +[2026-06-04 13:00:41,752][525115] Updated weights for policy 0, policy_version 34298 (0.0010) +[2026-06-04 13:00:42,873][524087] Fps is (10 sec: 13107.3, 60 sec: 12014.9, 300 sec: 11774.3). Total num frames: 17563648. Throughput: 0: 12014.9. Samples: 17567744. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 13:00:42,875][524087] Avg episode reward: [(0, '8700.600')] +[2026-06-04 13:00:44,465][525115] Updated weights for policy 0, policy_version 34366 (0.0010) +[2026-06-04 13:00:47,874][524087] Fps is (10 sec: 13107.1, 60 sec: 12015.0, 300 sec: 11774.3). Total num frames: 17629184. Throughput: 0: 11969.4. Samples: 17639424. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 13:00:47,875][524087] Avg episode reward: [(0, '8528.100')] +[2026-06-04 13:00:49,679][525115] Updated weights for policy 0, policy_version 34464 (0.0010) +[2026-06-04 13:00:52,621][525115] Updated weights for policy 0, policy_version 34544 (0.0010) +[2026-06-04 13:00:52,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 11802.0). Total num frames: 17694720. Throughput: 0: 11946.7. Samples: 17675264. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 13:00:52,874][524087] Avg episode reward: [(0, '8471.650')] +[2026-06-04 13:00:55,556][525115] Updated weights for policy 0, policy_version 34620 (0.0009) +[2026-06-04 13:00:57,874][524087] Fps is (10 sec: 9830.4, 60 sec: 11878.4, 300 sec: 11774.3). Total num frames: 17727488. Throughput: 0: 11946.6. Samples: 17745920. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 13:00:57,875][524087] Avg episode reward: [(0, '8758.150')] +[2026-06-04 13:01:00,680][525115] Updated weights for policy 0, policy_version 34705 (0.0010) +[2026-06-04 13:01:02,874][524087] Fps is (10 sec: 9830.3, 60 sec: 12014.9, 300 sec: 11774.3). Total num frames: 17793024. Throughput: 0: 11969.4. Samples: 17819136. Policy #0 lag: (min: 46.0, avg: 48.9, max: 110.0) +[2026-06-04 13:01:02,877][524087] Avg episode reward: [(0, '8647.650')] +[2026-06-04 13:01:03,518][525115] Updated weights for policy 0, policy_version 34784 (0.0010) +[2026-06-04 13:01:06,542][525115] Updated weights for policy 0, policy_version 34865 (0.0010) +[2026-06-04 13:01:07,873][524087] Fps is (10 sec: 13107.3, 60 sec: 12014.9, 300 sec: 11774.3). Total num frames: 17858560. Throughput: 0: 11969.4. Samples: 17853952. Policy #0 lag: (min: 46.0, avg: 48.9, max: 110.0) +[2026-06-04 13:01:07,875][524087] Avg episode reward: [(0, '8823.000')] +[2026-06-04 13:01:09,374][525115] Updated weights for policy 0, policy_version 34934 (0.0010) +[2026-06-04 13:01:12,258][525115] Updated weights for policy 0, policy_version 35000 (0.0012) +[2026-06-04 13:01:12,874][524087] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 11774.3). Total num frames: 17924096. Throughput: 0: 11878.4. Samples: 17923584. Policy #0 lag: (min: 46.0, avg: 48.9, max: 110.0) +[2026-06-04 13:01:12,875][524087] Avg episode reward: [(0, '9133.900')] +[2026-06-04 13:01:15,174][525115] Updated weights for policy 0, policy_version 35072 (0.0009) +[2026-06-04 13:01:17,873][524087] Fps is (10 sec: 12288.0, 60 sec: 11878.4, 300 sec: 11829.8). Total num frames: 17981440. Throughput: 0: 11787.4. Samples: 17991168. Policy #0 lag: (min: 46.0, avg: 48.9, max: 110.0) +[2026-06-04 13:01:17,875][524087] Avg episode reward: [(0, '9297.150')] +[2026-06-04 13:01:17,894][525034] Saving new best policy, reward=9297.150! +[2026-06-04 13:01:20,199][525115] Updated weights for policy 0, policy_version 35152 (0.0010) +[2026-06-04 13:01:22,846][525034] Signal inference workers to stop experience collection... (1650 times) +[2026-06-04 13:01:22,873][525115] InferenceWorker_p0-w0: stopping experience collection (1650 times) +[2026-06-04 13:01:22,873][524087] Fps is (10 sec: 9830.5, 60 sec: 11468.8, 300 sec: 11774.3). Total num frames: 18022400. Throughput: 0: 11787.4. Samples: 18028032. Policy #0 lag: (min: 46.0, avg: 48.9, max: 110.0) +[2026-06-04 13:01:22,874][524087] Avg episode reward: [(0, '9452.700')] +[2026-06-04 13:01:22,981][525034] Signal inference workers to resume experience collection... (1650 times) +[2026-06-04 13:01:22,982][525115] InferenceWorker_p0-w0: resuming experience collection (1650 times) +[2026-06-04 13:01:23,093][525034] Saving new best policy, reward=9452.700! +[2026-06-04 13:01:23,204][525115] Updated weights for policy 0, policy_version 35248 (0.0011) +[2026-06-04 13:01:26,011][525115] Updated weights for policy 0, policy_version 35319 (0.0010) +[2026-06-04 13:01:27,873][524087] Fps is (10 sec: 10649.7, 60 sec: 11741.9, 300 sec: 11774.3). Total num frames: 18087936. Throughput: 0: 11844.3. Samples: 18100736. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 13:01:27,874][524087] Avg episode reward: [(0, '9458.150')] +[2026-06-04 13:01:27,878][525034] Saving new best policy, reward=9458.150! +[2026-06-04 13:01:28,766][525115] Updated weights for policy 0, policy_version 35389 (0.0010) +[2026-06-04 13:01:31,517][525115] Updated weights for policy 0, policy_version 35456 (0.0009) +[2026-06-04 13:01:32,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 11774.3). Total num frames: 18153472. Throughput: 0: 11878.4. Samples: 18173952. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 13:01:32,874][524087] Avg episode reward: [(0, '9425.500')] +[2026-06-04 13:01:36,437][525115] Updated weights for policy 0, policy_version 35536 (0.0009) +[2026-06-04 13:01:37,873][524087] Fps is (10 sec: 13107.3, 60 sec: 12015.0, 300 sec: 11774.3). Total num frames: 18219008. Throughput: 0: 11912.6. Samples: 18211328. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 13:01:37,874][524087] Avg episode reward: [(0, '9477.900')] +[2026-06-04 13:01:37,877][525034] Saving new best policy, reward=9477.900! +[2026-06-04 13:01:39,175][525115] Updated weights for policy 0, policy_version 35600 (0.0009) +[2026-06-04 13:01:42,198][525115] Updated weights for policy 0, policy_version 35697 (0.0009) +[2026-06-04 13:01:42,873][524087] Fps is (10 sec: 13107.3, 60 sec: 12014.9, 300 sec: 11885.3). Total num frames: 18284544. Throughput: 0: 11946.7. Samples: 18283520. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 13:01:42,874][524087] Avg episode reward: [(0, '9686.400')] +[2026-06-04 13:01:42,878][525034] Saving new best policy, reward=9686.400! +[2026-06-04 13:01:45,034][525115] Updated weights for policy 0, policy_version 35767 (0.0009) +[2026-06-04 13:01:47,873][524087] Fps is (10 sec: 13107.1, 60 sec: 12015.0, 300 sec: 11885.3). Total num frames: 18350080. Throughput: 0: 11878.4. Samples: 18353664. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 13:01:47,874][524087] Avg episode reward: [(0, '9482.100')] +[2026-06-04 13:01:50,095][525115] Updated weights for policy 0, policy_version 35856 (0.0009) +[2026-06-04 13:01:52,873][524087] Fps is (10 sec: 10649.5, 60 sec: 11605.3, 300 sec: 11802.0). Total num frames: 18391040. Throughput: 0: 11912.5. Samples: 18390016. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 13:01:52,874][524087] Avg episode reward: [(0, '9245.700')] +[2026-06-04 13:01:53,106][525115] Updated weights for policy 0, policy_version 35953 (0.0010) +[2026-06-04 13:01:55,984][525115] Updated weights for policy 0, policy_version 36031 (0.0012) +[2026-06-04 13:01:57,874][524087] Fps is (10 sec: 9830.3, 60 sec: 12014.9, 300 sec: 11774.3). Total num frames: 18448384. Throughput: 0: 12003.6. Samples: 18463744. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 13:01:57,875][524087] Avg episode reward: [(0, '9242.600')] +[2026-06-04 13:02:01,063][525115] Updated weights for policy 0, policy_version 36112 (0.0010) +[2026-06-04 13:02:02,874][524087] Fps is (10 sec: 12287.9, 60 sec: 12014.9, 300 sec: 11802.0). Total num frames: 18513920. Throughput: 0: 12071.8. Samples: 18534400. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 13:02:02,875][524087] Avg episode reward: [(0, '9342.150')] +[2026-06-04 13:02:04,004][525115] Updated weights for policy 0, policy_version 36212 (0.0010) +[2026-06-04 13:02:06,699][525034] Signal inference workers to stop experience collection... (1700 times) +[2026-06-04 13:02:06,728][525115] InferenceWorker_p0-w0: stopping experience collection (1700 times) +[2026-06-04 13:02:06,799][525034] Signal inference workers to resume experience collection... (1700 times) +[2026-06-04 13:02:06,800][525115] InferenceWorker_p0-w0: resuming experience collection (1700 times) +[2026-06-04 13:02:06,956][525115] Updated weights for policy 0, policy_version 36285 (0.0009) +[2026-06-04 13:02:07,873][524087] Fps is (10 sec: 13107.3, 60 sec: 12014.9, 300 sec: 11885.3). Total num frames: 18579456. Throughput: 0: 12026.3. Samples: 18569216. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 13:02:07,874][524087] Avg episode reward: [(0, '9401.050')] +[2026-06-04 13:02:09,697][525115] Updated weights for policy 0, policy_version 36352 (0.0010) +[2026-06-04 13:02:12,874][524087] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 11885.3). Total num frames: 18644992. Throughput: 0: 12049.0. Samples: 18642944. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 13:02:12,876][524087] Avg episode reward: [(0, '9373.150')] +[2026-06-04 13:02:14,783][525115] Updated weights for policy 0, policy_version 36432 (0.0010) +[2026-06-04 13:02:17,686][525115] Updated weights for policy 0, policy_version 36512 (0.0009) +[2026-06-04 13:02:17,873][524087] Fps is (10 sec: 12288.0, 60 sec: 12014.9, 300 sec: 11857.6). Total num frames: 18702336. Throughput: 0: 11958.0. Samples: 18712064. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 13:02:17,874][524087] Avg episode reward: [(0, '9490.100')] +[2026-06-04 13:02:20,578][525115] Updated weights for policy 0, policy_version 36593 (0.0010) +[2026-06-04 13:02:22,873][524087] Fps is (10 sec: 9830.4, 60 sec: 12014.9, 300 sec: 11774.3). Total num frames: 18743296. Throughput: 0: 11923.9. Samples: 18747904. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 13:02:22,874][524087] Avg episode reward: [(0, '9661.600')] +[2026-06-04 13:02:23,306][525115] Updated weights for policy 0, policy_version 36667 (0.0010) +[2026-06-04 13:02:27,873][524087] Fps is (10 sec: 10649.6, 60 sec: 12014.9, 300 sec: 11857.6). Total num frames: 18808832. Throughput: 0: 11935.3. Samples: 18820608. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 13:02:27,874][524087] Avg episode reward: [(0, '9726.200')] +[2026-06-04 13:02:27,878][525034] Saving new best policy, reward=9726.200! +[2026-06-04 13:02:28,617][525115] Updated weights for policy 0, policy_version 36753 (0.0010) +[2026-06-04 13:02:31,650][525115] Updated weights for policy 0, policy_version 36851 (0.0010) +[2026-06-04 13:02:32,873][524087] Fps is (10 sec: 13107.3, 60 sec: 12014.9, 300 sec: 11885.3). Total num frames: 18874368. Throughput: 0: 11923.9. Samples: 18890240. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 13:02:32,874][524087] Avg episode reward: [(0, '9679.950')] +[2026-06-04 13:02:34,590][525115] Updated weights for policy 0, policy_version 36928 (0.0010) +[2026-06-04 13:02:37,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 11885.3). Total num frames: 18939904. Throughput: 0: 11901.2. Samples: 18925568. Policy #0 lag: (min: 6.0, avg: 9.5, max: 70.0) +[2026-06-04 13:02:37,874][524087] Avg episode reward: [(0, '9771.000')] +[2026-06-04 13:02:37,878][525034] Saving new best policy, reward=9771.000! +[2026-06-04 13:02:39,792][525115] Updated weights for policy 0, policy_version 37024 (0.0008) +[2026-06-04 13:02:42,633][525115] Updated weights for policy 0, policy_version 37105 (0.0005) +[2026-06-04 13:02:42,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 11885.3). Total num frames: 19005440. Throughput: 0: 11889.8. Samples: 18998784. Policy #0 lag: (min: 6.0, avg: 9.5, max: 70.0) +[2026-06-04 13:02:42,874][524087] Avg episode reward: [(0, '9558.750')] +[2026-06-04 13:02:45,433][525115] Updated weights for policy 0, policy_version 37176 (0.0006) +[2026-06-04 13:02:47,873][524087] Fps is (10 sec: 11468.8, 60 sec: 11741.9, 300 sec: 11829.8). Total num frames: 19054592. Throughput: 0: 11946.7. Samples: 19072000. Policy #0 lag: (min: 6.0, avg: 9.5, max: 70.0) +[2026-06-04 13:02:47,874][524087] Avg episode reward: [(0, '9525.950')] +[2026-06-04 13:02:48,087][525115] Updated weights for policy 0, policy_version 37241 (0.0008) +[2026-06-04 13:02:52,873][524087] Fps is (10 sec: 9830.4, 60 sec: 11878.4, 300 sec: 11857.6). Total num frames: 19103744. Throughput: 0: 11958.0. Samples: 19107328. Policy #0 lag: (min: 6.0, avg: 9.5, max: 70.0) +[2026-06-04 13:02:52,874][524087] Avg episode reward: [(0, '9424.800')] +[2026-06-04 13:02:53,025][525115] Updated weights for policy 0, policy_version 37313 (0.0009) +[2026-06-04 13:02:53,118][525034] Signal inference workers to stop experience collection... (1750 times) +[2026-06-04 13:02:53,147][525115] InferenceWorker_p0-w0: stopping experience collection (1750 times) +[2026-06-04 13:02:53,224][525034] Signal inference workers to resume experience collection... (1750 times) +[2026-06-04 13:02:53,224][525115] InferenceWorker_p0-w0: resuming experience collection (1750 times) +[2026-06-04 13:02:55,675][525115] Updated weights for policy 0, policy_version 37392 (0.0010) +[2026-06-04 13:02:57,873][524087] Fps is (10 sec: 11468.7, 60 sec: 12014.9, 300 sec: 11885.3). Total num frames: 19169280. Throughput: 0: 11980.8. Samples: 19182080. Policy #0 lag: (min: 6.0, avg: 9.5, max: 70.0) +[2026-06-04 13:02:57,875][524087] Avg episode reward: [(0, '9386.150')] +[2026-06-04 13:02:58,532][525115] Updated weights for policy 0, policy_version 37488 (0.0009) +[2026-06-04 13:03:01,368][525115] Updated weights for policy 0, policy_version 37567 (0.0009) +[2026-06-04 13:03:02,873][524087] Fps is (10 sec: 13107.3, 60 sec: 12015.0, 300 sec: 11885.3). Total num frames: 19234816. Throughput: 0: 12083.2. Samples: 19255808. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 13:03:02,874][524087] Avg episode reward: [(0, '9555.700')] +[2026-06-04 13:03:06,591][525115] Updated weights for policy 0, policy_version 37648 (0.0010) +[2026-06-04 13:03:07,873][524087] Fps is (10 sec: 13107.3, 60 sec: 12014.9, 300 sec: 11885.3). Total num frames: 19300352. Throughput: 0: 12083.2. Samples: 19291648. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 13:03:07,874][524087] Avg episode reward: [(0, '9830.850')] +[2026-06-04 13:03:07,878][525034] Saving new best policy, reward=9830.850! +[2026-06-04 13:03:09,514][525115] Updated weights for policy 0, policy_version 37744 (0.0010) +[2026-06-04 13:03:12,285][525115] Updated weights for policy 0, policy_version 37809 (0.0010) +[2026-06-04 13:03:12,873][524087] Fps is (10 sec: 13107.1, 60 sec: 12014.9, 300 sec: 11885.3). Total num frames: 19365888. Throughput: 0: 12071.8. Samples: 19363840. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 13:03:12,874][524087] Avg episode reward: [(0, '10029.000')] +[2026-06-04 13:03:12,877][525034] Saving new best policy, reward=10029.000! +[2026-06-04 13:03:14,958][525115] Updated weights for policy 0, policy_version 37885 (0.0009) +[2026-06-04 13:03:17,874][524087] Fps is (10 sec: 13106.7, 60 sec: 12151.4, 300 sec: 11940.9). Total num frames: 19431424. Throughput: 0: 12094.5. Samples: 19434496. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 13:03:17,875][524087] Avg episode reward: [(0, '9883.600')] +[2026-06-04 13:03:17,879][525034] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride5_seed14/checkpoint_p0/checkpoint_000037952_19431424.pth... +[2026-06-04 13:03:20,001][525115] Updated weights for policy 0, policy_version 37968 (0.0010) +[2026-06-04 13:03:22,873][524087] Fps is (10 sec: 10649.6, 60 sec: 12151.5, 300 sec: 11913.1). Total num frames: 19472384. Throughput: 0: 12140.1. Samples: 19471872. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 13:03:22,874][524087] Avg episode reward: [(0, '10130.700')] +[2026-06-04 13:03:22,945][525115] Updated weights for policy 0, policy_version 38048 (0.0010) +[2026-06-04 13:03:23,051][525034] Saving new best policy, reward=10130.700! +[2026-06-04 13:03:25,813][525115] Updated weights for policy 0, policy_version 38131 (0.0010) +[2026-06-04 13:03:27,873][524087] Fps is (10 sec: 9830.7, 60 sec: 12014.9, 300 sec: 11885.4). Total num frames: 19529728. Throughput: 0: 12117.3. Samples: 19544064. Policy #0 lag: (min: 9.0, avg: 13.8, max: 73.0) +[2026-06-04 13:03:27,874][524087] Avg episode reward: [(0, '10175.400')] +[2026-06-04 13:03:27,878][525034] Saving new best policy, reward=10175.400! +[2026-06-04 13:03:28,579][525115] Updated weights for policy 0, policy_version 38206 (0.0010) +[2026-06-04 13:03:32,873][524087] Fps is (10 sec: 12288.0, 60 sec: 12014.9, 300 sec: 11885.3). Total num frames: 19595264. Throughput: 0: 12128.7. Samples: 19617792. Policy #0 lag: (min: 9.0, avg: 13.8, max: 73.0) +[2026-06-04 13:03:32,875][524087] Avg episode reward: [(0, '10433.900')] +[2026-06-04 13:03:32,878][525034] Saving new best policy, reward=10433.900! +[2026-06-04 13:03:33,663][525115] Updated weights for policy 0, policy_version 38288 (0.0011) +[2026-06-04 13:03:36,567][525115] Updated weights for policy 0, policy_version 38368 (0.0011) +[2026-06-04 13:03:37,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 11885.3). Total num frames: 19660800. Throughput: 0: 12128.7. Samples: 19653120. Policy #0 lag: (min: 9.0, avg: 13.8, max: 73.0) +[2026-06-04 13:03:37,874][524087] Avg episode reward: [(0, '10438.400')] +[2026-06-04 13:03:37,878][525034] Saving new best policy, reward=10438.400! +[2026-06-04 13:03:38,986][525034] Signal inference workers to stop experience collection... (1800 times) +[2026-06-04 13:03:39,013][525115] InferenceWorker_p0-w0: stopping experience collection (1800 times) +[2026-06-04 13:03:39,111][525034] Signal inference workers to resume experience collection... (1800 times) +[2026-06-04 13:03:39,112][525115] InferenceWorker_p0-w0: resuming experience collection (1800 times) +[2026-06-04 13:03:39,351][525115] Updated weights for policy 0, policy_version 38448 (0.0011) +[2026-06-04 13:03:42,086][525115] Updated weights for policy 0, policy_version 38520 (0.0010) +[2026-06-04 13:03:42,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 11968.7). Total num frames: 19726336. Throughput: 0: 12106.0. Samples: 19726848. Policy #0 lag: (min: 9.0, avg: 13.8, max: 73.0) +[2026-06-04 13:03:42,874][524087] Avg episode reward: [(0, '10298.500')] +[2026-06-04 13:03:44,902][525115] Updated weights for policy 0, policy_version 38592 (0.0010) +[2026-06-04 13:03:47,873][524087] Fps is (10 sec: 13107.3, 60 sec: 12288.0, 300 sec: 11996.4). Total num frames: 19791872. Throughput: 0: 12026.3. Samples: 19796992. Policy #0 lag: (min: 9.0, avg: 13.8, max: 73.0) +[2026-06-04 13:03:47,874][524087] Avg episode reward: [(0, '10403.900')] +[2026-06-04 13:03:49,929][525115] Updated weights for policy 0, policy_version 38672 (0.0011) +[2026-06-04 13:03:52,694][525115] Updated weights for policy 0, policy_version 38752 (0.0010) +[2026-06-04 13:03:52,873][524087] Fps is (10 sec: 12288.0, 60 sec: 12424.5, 300 sec: 11968.7). Total num frames: 19849216. Throughput: 0: 12049.1. Samples: 19833856. Policy #0 lag: (min: 31.0, avg: 34.4, max: 95.0) +[2026-06-04 13:03:52,874][524087] Avg episode reward: [(0, '10256.800')] +[2026-06-04 13:03:55,638][525115] Updated weights for policy 0, policy_version 38835 (0.0010) +[2026-06-04 13:03:57,873][524087] Fps is (10 sec: 9830.4, 60 sec: 12014.9, 300 sec: 11885.4). Total num frames: 19890176. Throughput: 0: 12083.2. Samples: 19907584. Policy #0 lag: (min: 31.0, avg: 34.4, max: 95.0) +[2026-06-04 13:03:57,874][524087] Avg episode reward: [(0, '10416.200')] +[2026-06-04 13:03:58,372][525115] Updated weights for policy 0, policy_version 38905 (0.0010) +[2026-06-04 13:04:01,156][525115] Updated weights for policy 0, policy_version 38965 (0.0010) +[2026-06-04 13:04:02,873][524087] Fps is (10 sec: 10649.6, 60 sec: 12014.9, 300 sec: 11885.3). Total num frames: 19955712. Throughput: 0: 12128.8. Samples: 19980288. Policy #0 lag: (min: 31.0, avg: 34.4, max: 95.0) +[2026-06-04 13:04:02,875][524087] Avg episode reward: [(0, '10436.650')] +[2026-06-04 13:04:03,949][525115] Updated weights for policy 0, policy_version 39040 (0.0010) +[2026-06-04 13:04:07,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 11996.4). Total num frames: 20021248. Throughput: 0: 12071.8. Samples: 20015104. Policy #0 lag: (min: 31.0, avg: 34.4, max: 95.0) +[2026-06-04 13:04:07,875][524087] Avg episode reward: [(0, '11167.350')] +[2026-06-04 13:04:07,878][525034] Saving new best policy, reward=11167.350! +[2026-06-04 13:04:09,256][525115] Updated weights for policy 0, policy_version 39136 (0.0011) +[2026-06-04 13:04:12,116][525115] Updated weights for policy 0, policy_version 39216 (0.0011) +[2026-06-04 13:04:12,873][524087] Fps is (10 sec: 13107.1, 60 sec: 12014.9, 300 sec: 11996.4). Total num frames: 20086784. Throughput: 0: 12060.4. Samples: 20086784. Policy #0 lag: (min: 31.0, avg: 34.4, max: 95.0) +[2026-06-04 13:04:12,875][524087] Avg episode reward: [(0, '11101.550')] +[2026-06-04 13:04:15,100][525115] Updated weights for policy 0, policy_version 39290 (0.0010) +[2026-06-04 13:04:17,873][524087] Fps is (10 sec: 12288.0, 60 sec: 11878.5, 300 sec: 11968.6). Total num frames: 20144128. Throughput: 0: 11912.5. Samples: 20153856. Policy #0 lag: (min: 36.0, avg: 40.7, max: 100.0) +[2026-06-04 13:04:17,875][524087] Avg episode reward: [(0, '11266.550')] +[2026-06-04 13:04:17,915][525034] Saving new best policy, reward=11266.550! +[2026-06-04 13:04:20,410][525115] Updated weights for policy 0, policy_version 39392 (0.0010) +[2026-06-04 13:04:22,873][524087] Fps is (10 sec: 9830.5, 60 sec: 11878.4, 300 sec: 11885.3). Total num frames: 20185088. Throughput: 0: 11912.6. Samples: 20189184. Policy #0 lag: (min: 36.0, avg: 40.7, max: 100.0) +[2026-06-04 13:04:22,874][524087] Avg episode reward: [(0, '11194.000')] +[2026-06-04 13:04:23,034][525034] Signal inference workers to stop experience collection... (1850 times) +[2026-06-04 13:04:23,063][525115] InferenceWorker_p0-w0: stopping experience collection (1850 times) +[2026-06-04 13:04:23,139][525034] Signal inference workers to resume experience collection... (1850 times) +[2026-06-04 13:04:23,139][525115] InferenceWorker_p0-w0: resuming experience collection (1850 times) +[2026-06-04 13:04:23,237][525115] Updated weights for policy 0, policy_version 39479 (0.0010) +[2026-06-04 13:04:26,027][525115] Updated weights for policy 0, policy_version 39552 (0.0009) +[2026-06-04 13:04:27,873][524087] Fps is (10 sec: 10649.6, 60 sec: 12014.9, 300 sec: 11968.7). Total num frames: 20250624. Throughput: 0: 11935.3. Samples: 20263936. Policy #0 lag: (min: 36.0, avg: 40.7, max: 100.0) +[2026-06-04 13:04:27,874][524087] Avg episode reward: [(0, '11160.550')] +[2026-06-04 13:04:31,202][525115] Updated weights for policy 0, policy_version 39648 (0.0010) +[2026-06-04 13:04:32,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 11996.4). Total num frames: 20316160. Throughput: 0: 11992.2. Samples: 20336640. Policy #0 lag: (min: 36.0, avg: 40.7, max: 100.0) +[2026-06-04 13:04:32,874][524087] Avg episode reward: [(0, '11329.750')] +[2026-06-04 13:04:32,878][525034] Saving new best policy, reward=11329.750! +[2026-06-04 13:04:34,191][525115] Updated weights for policy 0, policy_version 39737 (0.0010) +[2026-06-04 13:04:37,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 11996.4). Total num frames: 20381696. Throughput: 0: 11946.7. Samples: 20371456. Policy #0 lag: (min: 36.0, avg: 40.7, max: 100.0) +[2026-06-04 13:04:37,874][524087] Avg episode reward: [(0, '11453.450')] +[2026-06-04 13:04:37,879][525034] Saving new best policy, reward=11453.450! +[2026-06-04 13:04:39,365][525115] Updated weights for policy 0, policy_version 39824 (0.0010) +[2026-06-04 13:04:42,007][525115] Updated weights for policy 0, policy_version 39904 (0.0010) +[2026-06-04 13:04:42,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 11996.4). Total num frames: 20447232. Throughput: 0: 11980.8. Samples: 20446720. Policy #0 lag: (min: 12.0, avg: 15.5, max: 76.0) +[2026-06-04 13:04:42,874][524087] Avg episode reward: [(0, '11330.300')] +[2026-06-04 13:04:44,971][525115] Updated weights for policy 0, policy_version 39994 (0.0011) +[2026-06-04 13:04:47,825][525115] Updated weights for policy 0, policy_version 40061 (0.0008) +[2026-06-04 13:04:47,874][524087] Fps is (10 sec: 13107.1, 60 sec: 12014.9, 300 sec: 11996.4). Total num frames: 20512768. Throughput: 0: 11923.9. Samples: 20516864. Policy #0 lag: (min: 12.0, avg: 15.5, max: 76.0) +[2026-06-04 13:04:47,875][524087] Avg episode reward: [(0, '11177.400')] +[2026-06-04 13:04:50,452][525115] Updated weights for policy 0, policy_version 40126 (0.0010) +[2026-06-04 13:04:52,873][524087] Fps is (10 sec: 10649.6, 60 sec: 11741.9, 300 sec: 11996.4). Total num frames: 20553728. Throughput: 0: 11980.8. Samples: 20554240. Policy #0 lag: (min: 12.0, avg: 15.5, max: 76.0) +[2026-06-04 13:04:52,874][524087] Avg episode reward: [(0, '11386.100')] +[2026-06-04 13:04:53,259][525115] Updated weights for policy 0, policy_version 40192 (0.0010) +[2026-06-04 13:04:55,894][525115] Updated weights for policy 0, policy_version 40256 (0.0009) +[2026-06-04 13:04:57,873][524087] Fps is (10 sec: 9830.5, 60 sec: 12014.9, 300 sec: 11996.4). Total num frames: 20611072. Throughput: 0: 12026.3. Samples: 20627968. Policy #0 lag: (min: 12.0, avg: 15.5, max: 76.0) +[2026-06-04 13:04:57,874][524087] Avg episode reward: [(0, '11668.500')] +[2026-06-04 13:04:57,878][525034] Saving new best policy, reward=11668.500! +[2026-06-04 13:05:00,540][525115] Updated weights for policy 0, policy_version 40321 (0.0009) +[2026-06-04 13:05:02,873][524087] Fps is (10 sec: 12288.0, 60 sec: 12014.9, 300 sec: 11996.4). Total num frames: 20676608. Throughput: 0: 12231.1. Samples: 20704256. Policy #0 lag: (min: 12.0, avg: 15.5, max: 76.0) +[2026-06-04 13:05:02,874][524087] Avg episode reward: [(0, '11712.650')] +[2026-06-04 13:05:02,878][525034] Saving new best policy, reward=11712.650! +[2026-06-04 13:05:03,218][525115] Updated weights for policy 0, policy_version 40400 (0.0009) +[2026-06-04 13:05:06,021][525115] Updated weights for policy 0, policy_version 40480 (0.0009) +[2026-06-04 13:05:07,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 11996.4). Total num frames: 20742144. Throughput: 0: 12276.6. Samples: 20741632. Policy #0 lag: (min: 12.0, avg: 15.5, max: 76.0) +[2026-06-04 13:05:07,874][524087] Avg episode reward: [(0, '11615.850')] +[2026-06-04 13:05:08,538][525034] Signal inference workers to stop experience collection... (1900 times) +[2026-06-04 13:05:08,567][525115] InferenceWorker_p0-w0: stopping experience collection (1900 times) +[2026-06-04 13:05:08,645][525034] Signal inference workers to resume experience collection... (1900 times) +[2026-06-04 13:05:08,646][525115] InferenceWorker_p0-w0: resuming experience collection (1900 times) +[2026-06-04 13:05:08,817][525115] Updated weights for policy 0, policy_version 40563 (0.0010) +[2026-06-04 13:05:11,580][525115] Updated weights for policy 0, policy_version 40625 (0.0009) +[2026-06-04 13:05:12,873][524087] Fps is (10 sec: 13107.3, 60 sec: 12015.0, 300 sec: 11996.4). Total num frames: 20807680. Throughput: 0: 12197.0. Samples: 20812800. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 13:05:12,874][524087] Avg episode reward: [(0, '11681.450')] +[2026-06-04 13:05:14,319][525115] Updated weights for policy 0, policy_version 40697 (0.0010) +[2026-06-04 13:05:17,026][525115] Updated weights for policy 0, policy_version 40765 (0.0009) +[2026-06-04 13:05:17,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12151.5, 300 sec: 11996.4). Total num frames: 20873216. Throughput: 0: 12231.1. Samples: 20887040. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 13:05:17,874][524087] Avg episode reward: [(0, '11673.100')] +[2026-06-04 13:05:19,660][525115] Updated weights for policy 0, policy_version 40825 (0.0007) +[2026-06-04 13:05:22,267][525115] Updated weights for policy 0, policy_version 40895 (0.0005) +[2026-06-04 13:05:22,873][524087] Fps is (10 sec: 13107.1, 60 sec: 12561.0, 300 sec: 12052.0). Total num frames: 20938752. Throughput: 0: 12299.4. Samples: 20924928. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 13:05:22,874][524087] Avg episode reward: [(0, '11791.850')] +[2026-06-04 13:05:22,878][525034] Saving new best policy, reward=11791.850! +[2026-06-04 13:05:24,975][525115] Updated weights for policy 0, policy_version 40960 (0.0009) +[2026-06-04 13:05:27,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12107.5). Total num frames: 21004288. Throughput: 0: 12333.5. Samples: 21001728. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 13:05:27,874][524087] Avg episode reward: [(0, '11920.000')] +[2026-06-04 13:05:27,879][525034] Saving new best policy, reward=11920.000! +[2026-06-04 13:05:29,974][525115] Updated weights for policy 0, policy_version 41056 (0.0009) +[2026-06-04 13:05:32,873][524087] Fps is (10 sec: 12288.0, 60 sec: 12424.5, 300 sec: 12079.7). Total num frames: 21061632. Throughput: 0: 12310.8. Samples: 21070848. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 13:05:32,874][524087] Avg episode reward: [(0, '12211.950')] +[2026-06-04 13:05:32,925][525115] Updated weights for policy 0, policy_version 41144 (0.0010) +[2026-06-04 13:05:32,990][525034] Saving new best policy, reward=12211.950! +[2026-06-04 13:05:35,743][525115] Updated weights for policy 0, policy_version 41216 (0.0010) +[2026-06-04 13:05:37,874][524087] Fps is (10 sec: 9830.4, 60 sec: 12014.9, 300 sec: 11996.4). Total num frames: 21102592. Throughput: 0: 12276.6. Samples: 21106688. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 13:05:37,875][524087] Avg episode reward: [(0, '11878.300')] +[2026-06-04 13:05:40,658][525115] Updated weights for policy 0, policy_version 41296 (0.0009) +[2026-06-04 13:05:42,874][524087] Fps is (10 sec: 10649.4, 60 sec: 12014.9, 300 sec: 11996.4). Total num frames: 21168128. Throughput: 0: 12310.7. Samples: 21181952. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 13:05:42,875][524087] Avg episode reward: [(0, '11684.500')] +[2026-06-04 13:05:43,171][525115] Updated weights for policy 0, policy_version 41360 (0.0010) +[2026-06-04 13:05:46,073][525115] Updated weights for policy 0, policy_version 41456 (0.0011) +[2026-06-04 13:05:47,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 11996.4). Total num frames: 21233664. Throughput: 0: 12310.7. Samples: 21258240. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 13:05:47,874][524087] Avg episode reward: [(0, '11521.850')] +[2026-06-04 13:05:48,809][525115] Updated weights for policy 0, policy_version 41527 (0.0010) +[2026-06-04 13:05:51,632][525115] Updated weights for policy 0, policy_version 41597 (0.0010) +[2026-06-04 13:05:52,874][524087] Fps is (10 sec: 13107.4, 60 sec: 12424.5, 300 sec: 12107.5). Total num frames: 21299200. Throughput: 0: 12299.3. Samples: 21295104. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 13:05:52,875][524087] Avg episode reward: [(0, '11814.100')] +[2026-06-04 13:05:53,751][525034] Signal inference workers to stop experience collection... (1950 times) +[2026-06-04 13:05:53,777][525115] InferenceWorker_p0-w0: stopping experience collection (1950 times) +[2026-06-04 13:05:53,880][525034] Signal inference workers to resume experience collection... (1950 times) +[2026-06-04 13:05:53,880][525115] InferenceWorker_p0-w0: resuming experience collection (1950 times) +[2026-06-04 13:05:56,355][525115] Updated weights for policy 0, policy_version 41665 (0.0010) +[2026-06-04 13:05:57,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12107.5). Total num frames: 21364736. Throughput: 0: 12333.5. Samples: 21367808. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 13:05:57,875][524087] Avg episode reward: [(0, '11901.350')] +[2026-06-04 13:05:58,906][525115] Updated weights for policy 0, policy_version 41729 (0.0009) +[2026-06-04 13:06:01,818][525115] Updated weights for policy 0, policy_version 41840 (0.0011) +[2026-06-04 13:06:02,873][524087] Fps is (10 sec: 13107.4, 60 sec: 12561.1, 300 sec: 12107.5). Total num frames: 21430272. Throughput: 0: 12379.0. Samples: 21444096. Policy #0 lag: (min: 31.0, avg: 34.8, max: 95.0) +[2026-06-04 13:06:02,874][524087] Avg episode reward: [(0, '12036.250')] +[2026-06-04 13:06:04,586][525115] Updated weights for policy 0, policy_version 41919 (0.0010) +[2026-06-04 13:06:07,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12107.5). Total num frames: 21495808. Throughput: 0: 12367.6. Samples: 21481472. Policy #0 lag: (min: 31.0, avg: 34.8, max: 95.0) +[2026-06-04 13:06:07,874][524087] Avg episode reward: [(0, '11796.600')] +[2026-06-04 13:06:09,656][525115] Updated weights for policy 0, policy_version 42000 (0.0010) +[2026-06-04 13:06:12,466][525115] Updated weights for policy 0, policy_version 42080 (0.0010) +[2026-06-04 13:06:12,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12135.3). Total num frames: 21561344. Throughput: 0: 12299.4. Samples: 21555200. Policy #0 lag: (min: 31.0, avg: 34.8, max: 95.0) +[2026-06-04 13:06:12,875][524087] Avg episode reward: [(0, '12328.650')] +[2026-06-04 13:06:12,878][525034] Saving new best policy, reward=12328.650! +[2026-06-04 13:06:15,218][525115] Updated weights for policy 0, policy_version 42160 (0.0011) +[2026-06-04 13:06:17,874][524087] Fps is (10 sec: 12287.9, 60 sec: 12424.5, 300 sec: 12190.8). Total num frames: 21618688. Throughput: 0: 12401.8. Samples: 21628928. Policy #0 lag: (min: 31.0, avg: 34.8, max: 95.0) +[2026-06-04 13:06:17,874][524087] Avg episode reward: [(0, '12679.250')] +[2026-06-04 13:06:17,934][525115] Updated weights for policy 0, policy_version 42238 (0.0009) +[2026-06-04 13:06:17,947][525034] Saving new best policy, reward=12679.250! +[2026-06-04 13:06:22,874][524087] Fps is (10 sec: 9830.4, 60 sec: 12014.9, 300 sec: 12107.5). Total num frames: 21659648. Throughput: 0: 12401.8. Samples: 21664768. Policy #0 lag: (min: 31.0, avg: 34.8, max: 95.0) +[2026-06-04 13:06:22,874][524087] Avg episode reward: [(0, '12839.200')] +[2026-06-04 13:06:22,877][525115] Updated weights for policy 0, policy_version 42320 (0.0009) +[2026-06-04 13:06:23,077][525034] Saving new best policy, reward=12839.200! +[2026-06-04 13:06:25,483][525115] Updated weights for policy 0, policy_version 42371 (0.0007) +[2026-06-04 13:06:27,874][524087] Fps is (10 sec: 10649.6, 60 sec: 12014.9, 300 sec: 12107.5). Total num frames: 21725184. Throughput: 0: 12413.2. Samples: 21740544. Policy #0 lag: (min: 31.0, avg: 34.8, max: 95.0) +[2026-06-04 13:06:27,875][524087] Avg episode reward: [(0, '12920.400')] +[2026-06-04 13:06:27,878][525034] Saving new best policy, reward=12920.400! +[2026-06-04 13:06:28,254][525115] Updated weights for policy 0, policy_version 42464 (0.0011) +[2026-06-04 13:06:31,020][525115] Updated weights for policy 0, policy_version 42528 (0.0010) +[2026-06-04 13:06:32,873][524087] Fps is (10 sec: 13107.3, 60 sec: 12151.5, 300 sec: 12107.5). Total num frames: 21790720. Throughput: 0: 12367.7. Samples: 21814784. Policy #0 lag: (min: 63.0, avg: 67.5, max: 127.0) +[2026-06-04 13:06:32,875][524087] Avg episode reward: [(0, '13204.400')] +[2026-06-04 13:06:32,878][525034] Saving new best policy, reward=13204.400! +[2026-06-04 13:06:33,721][525115] Updated weights for policy 0, policy_version 42608 (0.0009) +[2026-06-04 13:06:36,291][525034] Signal inference workers to stop experience collection... (2000 times) +[2026-06-04 13:06:36,320][525115] InferenceWorker_p0-w0: stopping experience collection (2000 times) +[2026-06-04 13:06:36,396][525034] Signal inference workers to resume experience collection... (2000 times) +[2026-06-04 13:06:36,397][525115] InferenceWorker_p0-w0: resuming experience collection (2000 times) +[2026-06-04 13:06:36,459][525115] Updated weights for policy 0, policy_version 42675 (0.0008) +[2026-06-04 13:06:37,873][524087] Fps is (10 sec: 13107.4, 60 sec: 12561.1, 300 sec: 12107.5). Total num frames: 21856256. Throughput: 0: 12379.1. Samples: 21852160. Policy #0 lag: (min: 63.0, avg: 67.5, max: 127.0) +[2026-06-04 13:06:37,874][524087] Avg episode reward: [(0, '13307.300')] +[2026-06-04 13:06:37,877][525034] Saving new best policy, reward=13307.300! +[2026-06-04 13:06:39,289][525115] Updated weights for policy 0, policy_version 42752 (0.0009) +[2026-06-04 13:06:42,873][524087] Fps is (10 sec: 13107.3, 60 sec: 12561.1, 300 sec: 12107.5). Total num frames: 21921792. Throughput: 0: 12333.5. Samples: 21922816. Policy #0 lag: (min: 63.0, avg: 67.5, max: 127.0) +[2026-06-04 13:06:42,874][524087] Avg episode reward: [(0, '13301.400')] +[2026-06-04 13:06:44,588][525115] Updated weights for policy 0, policy_version 42864 (0.0011) +[2026-06-04 13:06:47,456][525115] Updated weights for policy 0, policy_version 42934 (0.0008) +[2026-06-04 13:06:47,873][524087] Fps is (10 sec: 13107.1, 60 sec: 12561.1, 300 sec: 12190.8). Total num frames: 21987328. Throughput: 0: 12208.3. Samples: 21993472. Policy #0 lag: (min: 63.0, avg: 67.5, max: 127.0) +[2026-06-04 13:06:47,874][524087] Avg episode reward: [(0, '13281.950')] +[2026-06-04 13:06:50,230][525115] Updated weights for policy 0, policy_version 43008 (0.0010) +[2026-06-04 13:06:52,873][524087] Fps is (10 sec: 12287.9, 60 sec: 12424.6, 300 sec: 12190.8). Total num frames: 22044672. Throughput: 0: 12208.4. Samples: 22030848. Policy #0 lag: (min: 63.0, avg: 67.5, max: 127.0) +[2026-06-04 13:06:52,874][524087] Avg episode reward: [(0, '13463.400')] +[2026-06-04 13:06:52,970][525034] Saving new best policy, reward=13463.400! +[2026-06-04 13:06:55,294][525115] Updated weights for policy 0, policy_version 43089 (0.0010) +[2026-06-04 13:06:57,873][524087] Fps is (10 sec: 10649.6, 60 sec: 12151.5, 300 sec: 12135.3). Total num frames: 22093824. Throughput: 0: 12231.1. Samples: 22105600. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 13:06:57,874][524087] Avg episode reward: [(0, '13343.850')] +[2026-06-04 13:06:58,051][525115] Updated weights for policy 0, policy_version 43184 (0.0012) +[2026-06-04 13:07:00,950][525115] Updated weights for policy 0, policy_version 43248 (0.0010) +[2026-06-04 13:07:02,873][524087] Fps is (10 sec: 10649.7, 60 sec: 12014.9, 300 sec: 12107.5). Total num frames: 22151168. Throughput: 0: 12197.0. Samples: 22177792. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 13:07:02,874][524087] Avg episode reward: [(0, '13283.100')] +[2026-06-04 13:07:03,650][525115] Updated weights for policy 0, policy_version 43321 (0.0009) +[2026-06-04 13:07:07,873][524087] Fps is (10 sec: 12288.0, 60 sec: 12014.9, 300 sec: 12107.5). Total num frames: 22216704. Throughput: 0: 12265.3. Samples: 22216704. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 13:07:07,874][524087] Avg episode reward: [(0, '13520.150')] +[2026-06-04 13:07:07,878][525034] Saving new best policy, reward=13520.150! +[2026-06-04 13:07:08,365][525115] Updated weights for policy 0, policy_version 43394 (0.0010) +[2026-06-04 13:07:11,085][525115] Updated weights for policy 0, policy_version 43472 (0.0009) +[2026-06-04 13:07:12,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12015.0, 300 sec: 12135.3). Total num frames: 22282240. Throughput: 0: 12197.0. Samples: 22289408. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 13:07:12,874][524087] Avg episode reward: [(0, '13739.400')] +[2026-06-04 13:07:12,877][525034] Saving new best policy, reward=13739.400! +[2026-06-04 13:07:13,977][525115] Updated weights for policy 0, policy_version 43552 (0.0010) +[2026-06-04 13:07:16,664][525115] Updated weights for policy 0, policy_version 43632 (0.0011) +[2026-06-04 13:07:17,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12151.5, 300 sec: 12218.6). Total num frames: 22347776. Throughput: 0: 12197.0. Samples: 22363648. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 13:07:17,874][524087] Avg episode reward: [(0, '14279.400')] +[2026-06-04 13:07:17,878][525034] Saving new best policy, reward=14279.400! +[2026-06-04 13:07:19,395][525115] Updated weights for policy 0, policy_version 43700 (0.0011) +[2026-06-04 13:07:21,818][525034] Signal inference workers to stop experience collection... (2050 times) +[2026-06-04 13:07:21,848][525115] InferenceWorker_p0-w0: stopping experience collection (2050 times) +[2026-06-04 13:07:21,924][525034] Signal inference workers to resume experience collection... (2050 times) +[2026-06-04 13:07:21,925][525115] InferenceWorker_p0-w0: resuming experience collection (2050 times) +[2026-06-04 13:07:22,185][525115] Updated weights for policy 0, policy_version 43770 (0.0009) +[2026-06-04 13:07:22,873][524087] Fps is (10 sec: 13107.1, 60 sec: 12561.1, 300 sec: 12218.6). Total num frames: 22413312. Throughput: 0: 12197.0. Samples: 22401024. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 13:07:22,874][524087] Avg episode reward: [(0, '14198.500')] +[2026-06-04 13:07:27,067][525115] Updated weights for policy 0, policy_version 43856 (0.0009) +[2026-06-04 13:07:27,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12218.6). Total num frames: 22478848. Throughput: 0: 12299.4. Samples: 22476288. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-04 13:07:27,874][524087] Avg episode reward: [(0, '14442.500')] +[2026-06-04 13:07:27,879][525034] Saving new best policy, reward=14442.500! +[2026-06-04 13:07:30,005][525115] Updated weights for policy 0, policy_version 43937 (0.0010) +[2026-06-04 13:07:32,739][525115] Updated weights for policy 0, policy_version 44016 (0.0008) +[2026-06-04 13:07:32,873][524087] Fps is (10 sec: 12288.0, 60 sec: 12424.5, 300 sec: 12190.8). Total num frames: 22536192. Throughput: 0: 12299.4. Samples: 22546944. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-04 13:07:32,874][524087] Avg episode reward: [(0, '14803.900')] +[2026-06-04 13:07:32,940][525034] Saving new best policy, reward=14803.900! +[2026-06-04 13:07:35,389][525115] Updated weights for policy 0, policy_version 44084 (0.0008) +[2026-06-04 13:07:37,873][524087] Fps is (10 sec: 11468.8, 60 sec: 12288.0, 300 sec: 12163.0). Total num frames: 22593536. Throughput: 0: 12310.8. Samples: 22584832. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-04 13:07:37,874][524087] Avg episode reward: [(0, '14576.350')] +[2026-06-04 13:07:38,037][525115] Updated weights for policy 0, policy_version 44151 (0.0009) +[2026-06-04 13:07:40,565][525115] Updated weights for policy 0, policy_version 44220 (0.0009) +[2026-06-04 13:07:42,873][524087] Fps is (10 sec: 11468.7, 60 sec: 12151.5, 300 sec: 12190.8). Total num frames: 22650880. Throughput: 0: 12367.6. Samples: 22662144. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-04 13:07:42,874][524087] Avg episode reward: [(0, '14869.250')] +[2026-06-04 13:07:43,075][525034] Saving new best policy, reward=14869.250! +[2026-06-04 13:07:45,433][525115] Updated weights for policy 0, policy_version 44304 (0.0012) +[2026-06-04 13:07:47,874][524087] Fps is (10 sec: 11468.7, 60 sec: 12014.9, 300 sec: 12218.6). Total num frames: 22708224. Throughput: 0: 12492.8. Samples: 22739968. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-04 13:07:47,874][524087] Avg episode reward: [(0, '14718.600')] +[2026-06-04 13:07:48,010][525115] Updated weights for policy 0, policy_version 44369 (0.0010) +[2026-06-04 13:07:50,762][525115] Updated weights for policy 0, policy_version 44464 (0.0010) +[2026-06-04 13:07:52,873][524087] Fps is (10 sec: 12288.1, 60 sec: 12151.5, 300 sec: 12218.6). Total num frames: 22773760. Throughput: 0: 12413.2. Samples: 22775296. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-04 13:07:52,874][524087] Avg episode reward: [(0, '14564.400')] +[2026-06-04 13:07:53,519][525115] Updated weights for policy 0, policy_version 44538 (0.0010) +[2026-06-04 13:07:56,228][525115] Updated weights for policy 0, policy_version 44608 (0.0010) +[2026-06-04 13:07:57,873][524087] Fps is (10 sec: 13107.3, 60 sec: 12424.5, 300 sec: 12218.6). Total num frames: 22839296. Throughput: 0: 12481.4. Samples: 22851072. Policy #0 lag: (min: 3.0, avg: 7.0, max: 67.0) +[2026-06-04 13:07:57,874][524087] Avg episode reward: [(0, '14595.500')] +[2026-06-04 13:08:01,071][525115] Updated weights for policy 0, policy_version 44689 (0.0010) +[2026-06-04 13:08:02,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12218.6). Total num frames: 22904832. Throughput: 0: 12492.8. Samples: 22925824. Policy #0 lag: (min: 3.0, avg: 7.0, max: 67.0) +[2026-06-04 13:08:02,874][524087] Avg episode reward: [(0, '14614.500')] +[2026-06-04 13:08:03,988][525115] Updated weights for policy 0, policy_version 44784 (0.0010) +[2026-06-04 13:08:06,321][525034] Signal inference workers to stop experience collection... (2100 times) +[2026-06-04 13:08:06,372][525115] InferenceWorker_p0-w0: stopping experience collection (2100 times) +[2026-06-04 13:08:06,482][525034] Signal inference workers to resume experience collection... (2100 times) +[2026-06-04 13:08:06,483][525115] InferenceWorker_p0-w0: resuming experience collection (2100 times) +[2026-06-04 13:08:06,777][525115] Updated weights for policy 0, policy_version 44851 (0.0011) +[2026-06-04 13:08:07,873][524087] Fps is (10 sec: 13107.3, 60 sec: 12561.1, 300 sec: 12218.6). Total num frames: 22970368. Throughput: 0: 12470.0. Samples: 22962176. Policy #0 lag: (min: 3.0, avg: 7.0, max: 67.0) +[2026-06-04 13:08:07,874][524087] Avg episode reward: [(0, '14567.250')] +[2026-06-04 13:08:09,320][525115] Updated weights for policy 0, policy_version 44922 (0.0009) +[2026-06-04 13:08:12,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12218.6). Total num frames: 23035904. Throughput: 0: 12481.4. Samples: 23037952. Policy #0 lag: (min: 3.0, avg: 7.0, max: 67.0) +[2026-06-04 13:08:12,874][524087] Avg episode reward: [(0, '14786.200')] +[2026-06-04 13:08:14,057][525115] Updated weights for policy 0, policy_version 45024 (0.0010) +[2026-06-04 13:08:16,650][525115] Updated weights for policy 0, policy_version 45088 (0.0009) +[2026-06-04 13:08:17,873][524087] Fps is (10 sec: 13107.1, 60 sec: 12561.1, 300 sec: 12301.9). Total num frames: 23101440. Throughput: 0: 12674.8. Samples: 23117312. Policy #0 lag: (min: 3.0, avg: 7.0, max: 67.0) +[2026-06-04 13:08:17,874][524087] Avg episode reward: [(0, '14709.800')] +[2026-06-04 13:08:19,219][525115] Updated weights for policy 0, policy_version 45168 (0.0010) +[2026-06-04 13:08:21,885][525115] Updated weights for policy 0, policy_version 45232 (0.0009) +[2026-06-04 13:08:22,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12329.7). Total num frames: 23166976. Throughput: 0: 12709.0. Samples: 23156736. Policy #0 lag: (min: 3.0, avg: 7.0, max: 67.0) +[2026-06-04 13:08:22,874][524087] Avg episode reward: [(0, '14810.750')] +[2026-06-04 13:08:24,471][525115] Updated weights for policy 0, policy_version 45300 (0.0010) +[2026-06-04 13:08:27,261][525115] Updated weights for policy 0, policy_version 45375 (0.0010) +[2026-06-04 13:08:27,873][524087] Fps is (10 sec: 13107.3, 60 sec: 12561.1, 300 sec: 12329.7). Total num frames: 23232512. Throughput: 0: 12674.9. Samples: 23232512. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 13:08:27,874][524087] Avg episode reward: [(0, '14828.050')] +[2026-06-04 13:08:32,390][525115] Updated weights for policy 0, policy_version 45472 (0.0010) +[2026-06-04 13:08:32,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12697.6, 300 sec: 12329.7). Total num frames: 23298048. Throughput: 0: 12481.4. Samples: 23301632. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 13:08:32,874][524087] Avg episode reward: [(0, '15103.650')] +[2026-06-04 13:08:32,878][525034] Saving new best policy, reward=15103.650! +[2026-06-04 13:08:35,285][525115] Updated weights for policy 0, policy_version 45560 (0.0010) +[2026-06-04 13:08:37,873][524087] Fps is (10 sec: 12288.0, 60 sec: 12697.6, 300 sec: 12301.9). Total num frames: 23355392. Throughput: 0: 12561.1. Samples: 23340544. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 13:08:37,874][524087] Avg episode reward: [(0, '15494.550')] +[2026-06-04 13:08:37,887][525034] Saving new best policy, reward=15494.550! +[2026-06-04 13:08:40,128][525115] Updated weights for policy 0, policy_version 45633 (0.0010) +[2026-06-04 13:08:42,853][525115] Updated weights for policy 0, policy_version 45712 (0.0013) +[2026-06-04 13:08:42,873][524087] Fps is (10 sec: 10649.7, 60 sec: 12561.1, 300 sec: 12246.3). Total num frames: 23404544. Throughput: 0: 12561.1. Samples: 23416320. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 13:08:42,874][524087] Avg episode reward: [(0, '15720.000')] +[2026-06-04 13:08:43,089][525034] Saving new best policy, reward=15720.000! +[2026-06-04 13:08:45,629][525115] Updated weights for policy 0, policy_version 45792 (0.0008) +[2026-06-04 13:08:47,873][524087] Fps is (10 sec: 10649.6, 60 sec: 12561.1, 300 sec: 12246.3). Total num frames: 23461888. Throughput: 0: 12561.1. Samples: 23491072. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 13:08:47,874][524087] Avg episode reward: [(0, '15786.850')] +[2026-06-04 13:08:47,878][525034] Saving new best policy, reward=15786.850! +[2026-06-04 13:08:48,248][525034] Signal inference workers to stop experience collection... (2150 times) +[2026-06-04 13:08:48,278][525115] InferenceWorker_p0-w0: stopping experience collection (2150 times) +[2026-06-04 13:08:48,356][525034] Signal inference workers to resume experience collection... (2150 times) +[2026-06-04 13:08:48,357][525115] InferenceWorker_p0-w0: resuming experience collection (2150 times) +[2026-06-04 13:08:48,420][525115] Updated weights for policy 0, policy_version 45875 (0.0009) +[2026-06-04 13:08:51,119][525115] Updated weights for policy 0, policy_version 45949 (0.0009) +[2026-06-04 13:08:52,873][524087] Fps is (10 sec: 12287.9, 60 sec: 12561.1, 300 sec: 12329.7). Total num frames: 23527424. Throughput: 0: 12583.8. Samples: 23528448. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 13:08:52,874][524087] Avg episode reward: [(0, '15964.650')] +[2026-06-04 13:08:52,878][525034] Saving new best policy, reward=15964.650! +[2026-06-04 13:08:56,343][525115] Updated weights for policy 0, policy_version 46032 (0.0009) +[2026-06-04 13:08:57,873][524087] Fps is (10 sec: 13107.1, 60 sec: 12561.1, 300 sec: 12329.7). Total num frames: 23592960. Throughput: 0: 12413.2. Samples: 23596544. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 13:08:57,874][524087] Avg episode reward: [(0, '15976.600')] +[2026-06-04 13:08:57,878][525034] Saving new best policy, reward=15976.600! +[2026-06-04 13:08:59,307][525115] Updated weights for policy 0, policy_version 46128 (0.0010) +[2026-06-04 13:09:01,943][525115] Updated weights for policy 0, policy_version 46200 (0.0009) +[2026-06-04 13:09:02,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12329.7). Total num frames: 23658496. Throughput: 0: 12356.3. Samples: 23673344. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 13:09:02,874][524087] Avg episode reward: [(0, '16176.050')] +[2026-06-04 13:09:02,878][525034] Saving new best policy, reward=16176.050! +[2026-06-04 13:09:04,606][525115] Updated weights for policy 0, policy_version 46268 (0.0010) +[2026-06-04 13:09:07,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12329.7). Total num frames: 23724032. Throughput: 0: 12310.8. Samples: 23710720. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 13:09:07,874][524087] Avg episode reward: [(0, '16229.750')] +[2026-06-04 13:09:07,878][525034] Saving new best policy, reward=16229.750! +[2026-06-04 13:09:09,631][525115] Updated weights for policy 0, policy_version 46368 (0.0010) +[2026-06-04 13:09:12,371][525115] Updated weights for policy 0, policy_version 46432 (0.0010) +[2026-06-04 13:09:12,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12357.4). Total num frames: 23789568. Throughput: 0: 12288.0. Samples: 23785472. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 13:09:12,874][524087] Avg episode reward: [(0, '16316.400')] +[2026-06-04 13:09:12,878][525034] Saving new best policy, reward=16316.400! +[2026-06-04 13:09:15,073][525115] Updated weights for policy 0, policy_version 46515 (0.0012) +[2026-06-04 13:09:17,873][524087] Fps is (10 sec: 12288.0, 60 sec: 12424.5, 300 sec: 12413.0). Total num frames: 23846912. Throughput: 0: 12344.9. Samples: 23857152. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 13:09:17,874][524087] Avg episode reward: [(0, '16825.450')] +[2026-06-04 13:09:17,889][525115] Updated weights for policy 0, policy_version 46589 (0.0010) +[2026-06-04 13:09:17,916][525034] Saving new best policy, reward=16825.450! +[2026-06-04 13:09:22,873][524087] Fps is (10 sec: 9830.4, 60 sec: 12014.9, 300 sec: 12329.7). Total num frames: 23887872. Throughput: 0: 12299.4. Samples: 23894016. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 13:09:22,874][524087] Avg episode reward: [(0, '16812.850')] +[2026-06-04 13:09:22,956][525115] Updated weights for policy 0, policy_version 46672 (0.0010) +[2026-06-04 13:09:25,986][525115] Updated weights for policy 0, policy_version 46769 (0.0011) +[2026-06-04 13:09:27,873][524087] Fps is (10 sec: 10649.6, 60 sec: 12014.9, 300 sec: 12329.7). Total num frames: 23953408. Throughput: 0: 12231.1. Samples: 23966720. Policy #0 lag: (min: 4.0, avg: 8.5, max: 68.0) +[2026-06-04 13:09:27,874][524087] Avg episode reward: [(0, '16437.350')] +[2026-06-04 13:09:28,576][525115] Updated weights for policy 0, policy_version 46835 (0.0010) +[2026-06-04 13:09:31,288][525115] Updated weights for policy 0, policy_version 46906 (0.0010) +[2026-06-04 13:09:32,873][524087] Fps is (10 sec: 13107.3, 60 sec: 12014.9, 300 sec: 12329.7). Total num frames: 24018944. Throughput: 0: 12219.7. Samples: 24040960. Policy #0 lag: (min: 4.0, avg: 8.5, max: 68.0) +[2026-06-04 13:09:32,874][524087] Avg episode reward: [(0, '16426.550')] +[2026-06-04 13:09:33,658][525034] Signal inference workers to stop experience collection... (2200 times) +[2026-06-04 13:09:33,687][525115] InferenceWorker_p0-w0: stopping experience collection (2200 times) +[2026-06-04 13:09:33,782][525034] Signal inference workers to resume experience collection... (2200 times) +[2026-06-04 13:09:33,782][525115] InferenceWorker_p0-w0: resuming experience collection (2200 times) +[2026-06-04 13:09:34,052][525115] Updated weights for policy 0, policy_version 46973 (0.0010) +[2026-06-04 13:09:37,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12151.5, 300 sec: 12329.7). Total num frames: 24084480. Throughput: 0: 12242.5. Samples: 24079360. Policy #0 lag: (min: 4.0, avg: 8.5, max: 68.0) +[2026-06-04 13:09:37,874][524087] Avg episode reward: [(0, '16749.400')] +[2026-06-04 13:09:38,702][525115] Updated weights for policy 0, policy_version 47041 (0.0010) +[2026-06-04 13:09:41,280][525115] Updated weights for policy 0, policy_version 47120 (0.0010) +[2026-06-04 13:09:42,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12424.5, 300 sec: 12329.7). Total num frames: 24150016. Throughput: 0: 12390.4. Samples: 24154112. Policy #0 lag: (min: 4.0, avg: 8.5, max: 68.0) +[2026-06-04 13:09:42,874][524087] Avg episode reward: [(0, '16998.250')] +[2026-06-04 13:09:42,879][525034] Saving new best policy, reward=16998.250! +[2026-06-04 13:09:44,060][525115] Updated weights for policy 0, policy_version 47201 (0.0010) +[2026-06-04 13:09:46,671][525115] Updated weights for policy 0, policy_version 47280 (0.0009) +[2026-06-04 13:09:47,873][524087] Fps is (10 sec: 13107.1, 60 sec: 12561.0, 300 sec: 12413.0). Total num frames: 24215552. Throughput: 0: 12447.3. Samples: 24233472. Policy #0 lag: (min: 4.0, avg: 8.5, max: 68.0) +[2026-06-04 13:09:47,875][524087] Avg episode reward: [(0, '17694.600')] +[2026-06-04 13:09:47,879][525034] Saving new best policy, reward=17694.600! +[2026-06-04 13:09:49,292][525115] Updated weights for policy 0, policy_version 47344 (0.0008) +[2026-06-04 13:09:51,922][525115] Updated weights for policy 0, policy_version 47408 (0.0009) +[2026-06-04 13:09:52,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12440.7). Total num frames: 24281088. Throughput: 0: 12424.5. Samples: 24269824. Policy #0 lag: (min: 4.0, avg: 8.5, max: 68.0) +[2026-06-04 13:09:52,874][524087] Avg episode reward: [(0, '17774.150')] +[2026-06-04 13:09:52,877][525034] Saving new best policy, reward=17774.150! +[2026-06-04 13:09:54,505][525115] Updated weights for policy 0, policy_version 47472 (0.0009) +[2026-06-04 13:09:57,129][525115] Updated weights for policy 0, policy_version 47543 (0.0009) +[2026-06-04 13:09:57,874][524087] Fps is (10 sec: 13107.1, 60 sec: 12561.0, 300 sec: 12440.7). Total num frames: 24346624. Throughput: 0: 12481.4. Samples: 24347136. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 13:09:57,874][524087] Avg episode reward: [(0, '17701.900')] +[2026-06-04 13:09:59,888][525115] Updated weights for policy 0, policy_version 47616 (0.0009) +[2026-06-04 13:10:02,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12440.7). Total num frames: 24412160. Throughput: 0: 12481.4. Samples: 24418816. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 13:10:02,874][524087] Avg episode reward: [(0, '17639.500')] +[2026-06-04 13:10:04,716][525115] Updated weights for policy 0, policy_version 47697 (0.0007) +[2026-06-04 13:10:07,346][525115] Updated weights for policy 0, policy_version 47776 (0.0006) +[2026-06-04 13:10:07,873][524087] Fps is (10 sec: 13107.4, 60 sec: 12561.1, 300 sec: 12440.7). Total num frames: 24477696. Throughput: 0: 12549.7. Samples: 24458752. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 13:10:07,874][524087] Avg episode reward: [(0, '18371.850')] +[2026-06-04 13:10:07,878][525034] Saving new best policy, reward=18371.850! +[2026-06-04 13:10:09,794][525115] Updated weights for policy 0, policy_version 47825 (0.0006) +[2026-06-04 13:10:12,603][525115] Updated weights for policy 0, policy_version 47920 (0.0006) +[2026-06-04 13:10:12,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12440.7). Total num frames: 24543232. Throughput: 0: 12640.7. Samples: 24535552. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 13:10:12,874][524087] Avg episode reward: [(0, '18420.100')] +[2026-06-04 13:10:12,878][525034] Saving new best policy, reward=18420.100! +[2026-06-04 13:10:15,181][525115] Updated weights for policy 0, policy_version 47984 (0.0008) +[2026-06-04 13:10:17,335][525034] Signal inference workers to stop experience collection... (2250 times) +[2026-06-04 13:10:17,386][525115] InferenceWorker_p0-w0: stopping experience collection (2250 times) +[2026-06-04 13:10:17,496][525034] Signal inference workers to resume experience collection... (2250 times) +[2026-06-04 13:10:17,497][525115] InferenceWorker_p0-w0: resuming experience collection (2250 times) +[2026-06-04 13:10:17,771][525115] Updated weights for policy 0, policy_version 48048 (0.0009) +[2026-06-04 13:10:17,873][524087] Fps is (10 sec: 12287.9, 60 sec: 12561.1, 300 sec: 12413.0). Total num frames: 24600576. Throughput: 0: 12686.2. Samples: 24611840. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 13:10:17,874][524087] Avg episode reward: [(0, '18661.700')] +[2026-06-04 13:10:17,962][525034] Saving new best policy, reward=18661.700! +[2026-06-04 13:10:20,352][525115] Updated weights for policy 0, policy_version 48115 (0.0009) +[2026-06-04 13:10:22,873][524087] Fps is (10 sec: 12288.0, 60 sec: 12970.7, 300 sec: 12413.0). Total num frames: 24666112. Throughput: 0: 12686.2. Samples: 24650240. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 13:10:22,874][524087] Avg episode reward: [(0, '18889.350')] +[2026-06-04 13:10:23,003][525115] Updated weights for policy 0, policy_version 48186 (0.0009) +[2026-06-04 13:10:23,051][525034] Saving new best policy, reward=18889.350! +[2026-06-04 13:10:25,629][525115] Updated weights for policy 0, policy_version 48248 (0.0010) +[2026-06-04 13:10:27,873][524087] Fps is (10 sec: 10649.7, 60 sec: 12561.1, 300 sec: 12357.4). Total num frames: 24707072. Throughput: 0: 12697.6. Samples: 24725504. Policy #0 lag: (min: 12.0, avg: 15.0, max: 76.0) +[2026-06-04 13:10:27,874][524087] Avg episode reward: [(0, '19076.100')] +[2026-06-04 13:10:28,057][525034] Saving new best policy, reward=19076.100! +[2026-06-04 13:10:28,345][525115] Updated weights for policy 0, policy_version 48319 (0.0010) +[2026-06-04 13:10:31,009][525115] Updated weights for policy 0, policy_version 48379 (0.0010) +[2026-06-04 13:10:32,873][524087] Fps is (10 sec: 10649.5, 60 sec: 12561.1, 300 sec: 12440.7). Total num frames: 24772608. Throughput: 0: 12606.6. Samples: 24800768. Policy #0 lag: (min: 12.0, avg: 15.0, max: 76.0) +[2026-06-04 13:10:32,874][524087] Avg episode reward: [(0, '19054.450')] +[2026-06-04 13:10:33,640][525115] Updated weights for policy 0, policy_version 48448 (0.0009) +[2026-06-04 13:10:37,873][524087] Fps is (10 sec: 13107.1, 60 sec: 12561.1, 300 sec: 12440.7). Total num frames: 24838144. Throughput: 0: 12640.7. Samples: 24838656. Policy #0 lag: (min: 12.0, avg: 15.0, max: 76.0) +[2026-06-04 13:10:37,874][524087] Avg episode reward: [(0, '19311.600')] +[2026-06-04 13:10:37,878][525034] Saving new best policy, reward=19311.600! +[2026-06-04 13:10:38,411][525115] Updated weights for policy 0, policy_version 48514 (0.0011) +[2026-06-04 13:10:41,104][525115] Updated weights for policy 0, policy_version 48608 (0.0010) +[2026-06-04 13:10:42,874][524087] Fps is (10 sec: 13107.1, 60 sec: 12561.1, 300 sec: 12440.7). Total num frames: 24903680. Throughput: 0: 12561.1. Samples: 24912384. Policy #0 lag: (min: 12.0, avg: 15.0, max: 76.0) +[2026-06-04 13:10:42,875][524087] Avg episode reward: [(0, '19039.250')] +[2026-06-04 13:10:43,816][525115] Updated weights for policy 0, policy_version 48691 (0.0010) +[2026-06-04 13:10:46,536][525115] Updated weights for policy 0, policy_version 48763 (0.0009) +[2026-06-04 13:10:47,873][524087] Fps is (10 sec: 13107.2, 60 sec: 12561.1, 300 sec: 12440.7). Total num frames: 24969216. Throughput: 0: 12709.0. Samples: 24990720. Policy #0 lag: (min: 12.0, avg: 15.0, max: 76.0) +[2026-06-04 13:10:47,874][524087] Avg episode reward: [(0, '19073.700')] +[2026-06-04 13:10:49,048][525115] Updated weights for policy 0, policy_version 48832 (0.0009) +[2026-06-04 13:10:51,141][525034] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 +[2026-06-04 13:10:51,143][525116] Stopping RolloutWorker_w0... +[2026-06-04 13:10:51,144][525116] Loop rollout_proc0_evt_loop terminating... +[2026-06-04 13:10:51,143][525034] Stopping Batcher_0... +[2026-06-04 13:10:51,143][524087] Component RolloutWorker_w0 stopped! +[2026-06-04 13:10:51,144][525034] Loop batcher_evt_loop terminating... +[2026-06-04 13:10:51,144][524087] Component Batcher_0 stopped! +[2026-06-04 13:10:51,210][525115] Weights refcount: 2 0 +[2026-06-04 13:10:51,211][525115] Stopping InferenceWorker_p0-w0... +[2026-06-04 13:10:51,212][525115] Loop inference_proc0-0_evt_loop terminating... +[2026-06-04 13:10:51,212][524087] Component InferenceWorker_p0-w0 stopped! +[2026-06-04 13:10:51,224][525034] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 +[2026-06-04 13:10:51,226][525034] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride5_seed14/checkpoint_p0/checkpoint_000048864_25018368.pth... +[2026-06-04 13:10:51,313][525034] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 +[2026-06-04 13:10:51,313][525034] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride5_seed14/checkpoint_p0/checkpoint_000048880_25026560.pth... +[2026-06-04 13:10:51,331][525034] Stopping LearnerWorker_p0... +[2026-06-04 13:10:51,331][525034] Loop learner_proc0_evt_loop terminating... +[2026-06-04 13:10:51,331][524087] Component LearnerWorker_p0 stopped! +[2026-06-04 13:10:51,332][524087] Waiting for process learner_proc0 to stop... +[2026-06-04 13:10:52,337][524087] Waiting for process inference_proc0-0 to join... +[2026-06-04 13:10:52,338][524087] Waiting for process rollout_proc0 to join... +[2026-06-04 13:10:52,339][524087] Batcher 0 profile tree view: +batching: 1.5327, releasing_batches: 1.8326 +[2026-06-04 13:10:52,339][524087] InferenceWorker_p0-w0 profile tree view: wait_policy: 0.0051 - wait_policy_total: 1300.0170 -update_model: 9.3646 + wait_policy_total: 1935.1979 +update_model: 9.2249 weight_update: 0.0009 -one_step: 0.0021 - handle_policy_step: 97.9944 - deserialize: 2.0257, stack: 0.1103, obs_to_device_normalize: 20.0789, forward: 50.2224, prepare_outputs: 16.8805, send_messages: 3.2507 -[2026-06-02 23:42:56,543][543134] Learner 0 profile tree view: -misc: 0.0096, prepare_batch: 54.1364 -train: 343.7272 - epoch_init: 0.0580, minibatch_init: 2.8545, losses_postprocess: 69.3483, kl_divergence: 68.3336, update: 120.6680, after_optimizer: 33.6128 - calculate_losses: 45.1557 - losses_init: 0.0911, forward_head: 14.1510, bptt_initial: 0.4609, bptt: 0.5075, tail: 10.3028, advantages_returns: 3.3509, losses: 12.7835 -[2026-06-02 23:42:56,543][543134] RolloutWorker_w0 profile tree view: -wait_for_trajectories: 0.0373, enqueue_policy_requests: 7.4142, process_policy_outputs: 4.0829, env_step: 1343.9000, finalize_trajectories: 0.0820, complete_rollouts: 0.0757 -post_env_step: 11.7105 - process_env_step: 4.3277 -[2026-06-02 23:42:56,545][543134] Loop Runner_EvtLoop terminating... -[2026-06-02 23:42:56,545][543134] Runner profile tree view: -main_loop: 1580.0664 -[2026-06-02 23:42:56,546][543134] Collected {0: 25026560}, FPS: 15838.9 +one_step: 0.0032 + handle_policy_step: 113.1533 + deserialize: 2.5240, stack: 0.1218, obs_to_device_normalize: 24.1960, forward: 58.8276, prepare_outputs: 17.1815, send_messages: 3.8628 +[2026-06-04 13:10:52,340][524087] Learner 0 profile tree view: +misc: 0.0129, prepare_batch: 60.3613 +train: 365.1719 + epoch_init: 0.0704, minibatch_init: 3.2404, losses_postprocess: 79.2078, kl_divergence: 69.9135, update: 132.7064, after_optimizer: 26.7757 + calculate_losses: 49.1589 + losses_init: 0.1005, forward_head: 15.7279, bptt_initial: 0.4673, bptt: 0.5074, tail: 11.3176, advantages_returns: 3.6196, losses: 13.6676 +[2026-06-04 13:10:52,340][524087] RolloutWorker_w0 profile tree view: +wait_for_trajectories: 0.0471, enqueue_policy_requests: 8.8680, process_policy_outputs: 5.0200, env_step: 1971.5375, finalize_trajectories: 0.1039, complete_rollouts: 0.0926 +post_env_step: 14.2952 + process_env_step: 4.8814 +[2026-06-04 13:10:52,341][524087] Loop Runner_EvtLoop terminating... +[2026-06-04 13:10:52,342][524087] Runner profile tree view: +main_loop: 2249.2128 +[2026-06-04 13:10:52,342][524087] Collected {0: 25026560}, FPS: 11126.8