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"raw_frames": 43824, "raw_return": 27645.0, "return": 27645.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 427, "episode_idx": 16, "latency_raw_frames": 4, "length": 3179, "raw_frames": 12716, "raw_return": 5690.0, "return": 5690.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 463, "episode_idx": 17, "latency_raw_frames": 4, "length": 4730, "raw_frames": 18920, "raw_return": 8835.0, "return": 8835.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 303, "episode_idx": 19, "latency_raw_frames": 4, "length": 4997, "raw_frames": 19988, "raw_return": 9745.0, "return": 9745.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 4, "episode_idx": 17, "latency_raw_frames": 4, "length": 4382, "raw_frames": 17528, "raw_return": 9410.0, "return": 9410.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 171, "episode_idx": 16, "latency_raw_frames": 4, "length": 3883, "raw_frames": 15532, "raw_return": 7200.0, "return": 7200.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 500, "episode_idx": 17, "latency_raw_frames": 4, "length": 6707, "raw_frames": 26828, "raw_return": 16320.0, "return": 16320.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 483, "episode_idx": 16, "latency_raw_frames": 4, "length": 4975, "raw_frames": 19900, "raw_return": 9705.0, "return": 9705.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 6, "episode_idx": 18, "latency_raw_frames": 4, "length": 5436, "raw_frames": 21744, "raw_return": 10850.0, "return": 10850.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 385, "episode_idx": 18, "latency_raw_frames": 4, "length": 4630, "raw_frames": 18520, "raw_return": 8565.0, "return": 8565.0, "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:obs15:stride4:seed13/git.diff b/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:fixed_l4:fs4:obs15:stride4:seed13/git.diff index e31c2cc4acb38cc525638b8a634a718663a6e545..6b0a28eb57ace58363ce8ce0aafa46e1b6cc8c35 100644 --- a/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:fixed_l4:fs4:obs15:stride4:seed13/git.diff +++ b/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:fixed_l4:fs4:obs15:stride4:seed13/git.diff @@ -1,13 +1,7 @@ -diff --git a/training/demon_attack_sf/integration.py b/training/demon_attack_sf/integration.py -index 8a526a6..8e90903 100644 ---- a/training/demon_attack_sf/integration.py -+++ b/training/demon_attack_sf/integration.py -@@ -344,7 +344,7 @@ def build_cli_args_from_config(config: dict) -> list[str]: - append_cli_arg(args, "--clip_reward", env_cfg["clip_reward"]) - append_cli_arg(args, "--repeat_action_probability", env_cfg["repeat_action_probability"]) - append_cli_arg(args, "--full_action_space", env_cfg["full_action_space"]) -- append_cli_arg(args, "--max_episode_steps", env_cfg["max_episode_steps"]) -+ append_cli_arg(args, "--max_episode_steps", env_cfg.get("max_episode_steps")) - append_cli_arg(args, "--simulator", env_cfg["simulator"]) - append_cli_arg(args, "--gpu-env-device", env_cfg["gpu_env_device"]) - # --gpu-env-batch-size is emitted centrally in build_common_sf_args from num_envs_per_worker. +diff --git a/starVLA b/starVLA +index 538fd52..9d8c567 160000 +--- a/starVLA ++++ b/starVLA +@@ -1 +1 @@ +-Subproject commit 538fd523fe4fa4e7abce3201611919314bc6b664 ++Subproject commit 9d8c567188a3aa2a825296016cf17f3977101d8f diff --git a/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:fixed_l4:fs4:obs15:stride4:seed13/sf_log.txt b/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:fixed_l4:fs4:obs15:stride4:seed13/sf_log.txt index 7973504ac83131becf893ba50f4e7bef98377039..bbadc512432fa4180cb32d109768835cf00c1e39 100644 --- a/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:fixed_l4:fs4:obs15:stride4:seed13/sf_log.txt +++ b/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:fixed_l4:fs4:obs15:stride4:seed13/sf_log.txt @@ -1,26 +1,26 @@ -[2026-06-02 22:37:53,169][512914] Saving configuration to results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride4_seed13/config.json... -[2026-06-02 22:37:53,237][512914] Using GPUs [0] for process 0 (actually maps to GPUs [0]) -[2026-06-02 22:37:53,237][512914] Rollout worker 0 uses device cuda:0 -[2026-06-02 22:37:54,035][512914] Using GPUs [0] for process 0 (actually maps to GPUs [0]) -[2026-06-02 22:37:54,035][512914] InferenceWorker_p0-w0: min num requests: 1 -[2026-06-02 22:37:54,040][512914] Using GPUs [0] for process 0 (actually maps to GPUs [0]) -[2026-06-02 22:37:54,040][512914] Starting all processes... -[2026-06-02 22:37:54,041][512914] Starting process learner_proc0 -[2026-06-02 22:37:55,126][512914] Starting all processes... -[2026-06-02 22:37:55,130][512914] Starting process inference_proc0-0 -[2026-06-02 22:37:55,130][512914] Starting process rollout_proc0 -[2026-06-02 22:37:55,638][513792] Using GPUs [0] for process 0 (actually maps to GPUs [0]) -[2026-06-02 22:37:55,638][513792] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for learning process 0 -[2026-06-02 22:37:55,638][513792] Num visible devices: 1 -[2026-06-02 22:37:55,639][513792] Setting fixed seed 13 -[2026-06-02 22:37:55,640][513792] Using GPUs [0] for process 0 (actually maps to GPUs [0]) -[2026-06-02 22:37:55,640][513792] Initializing actor-critic model on device cuda:0 -[2026-06-02 22:37:55,640][513792] RunningMeanStd input shape: (4, 84, 84) -[2026-06-02 22:37:55,671][513792] RunningMeanStd input shape: (1,) -[2026-06-02 22:37:55,678][513792] ConvEncoder: input_channels=4 -[2026-06-02 22:37:55,739][513792] Conv encoder output size: 512 -[2026-06-02 22:37:55,740][513792] Created Actor Critic model with architecture: -[2026-06-02 22:37:55,740][513792] ActorCriticSharedWeights( +[2026-06-04 11:57:47,764][494436] Saving configuration to results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride4_seed13/config.json... +[2026-06-04 11:57:47,831][494436] Using GPUs [0] for process 0 (actually maps to GPUs [6]) +[2026-06-04 11:57:47,831][494436] Rollout worker 0 uses device cuda:0 +[2026-06-04 11:57:49,341][494436] Using GPUs [0] for process 0 (actually maps to GPUs [6]) +[2026-06-04 11:57:49,342][494436] InferenceWorker_p0-w0: min num requests: 1 +[2026-06-04 11:57:49,348][494436] Using GPUs [0] for process 0 (actually maps to GPUs [6]) +[2026-06-04 11:57:49,349][494436] Starting all processes... +[2026-06-04 11:57:49,349][494436] Starting process learner_proc0 +[2026-06-04 11:57:51,210][494436] Starting all processes... +[2026-06-04 11:57:51,215][494436] Starting process inference_proc0-0 +[2026-06-04 11:57:51,216][494436] Starting process rollout_proc0 +[2026-06-04 11:57:52,066][495402] Using GPUs [0] for process 0 (actually maps to GPUs [6]) +[2026-06-04 11:57:52,067][495402] Set environment var CUDA_VISIBLE_DEVICES to '6' (GPU indices [0]) for learning process 0 +[2026-06-04 11:57:52,067][495402] Num visible devices: 1 +[2026-06-04 11:57:52,068][495402] Setting fixed seed 13 +[2026-06-04 11:57:52,070][495402] Using GPUs [0] for process 0 (actually maps to GPUs [6]) +[2026-06-04 11:57:52,070][495402] Initializing actor-critic model on device cuda:0 +[2026-06-04 11:57:52,071][495402] RunningMeanStd input shape: (4, 84, 84) +[2026-06-04 11:57:52,085][495402] RunningMeanStd input shape: (1,) +[2026-06-04 11:57:52,103][495402] ConvEncoder: input_channels=4 +[2026-06-04 11:57:52,206][495402] Conv encoder output size: 512 +[2026-06-04 11:57:52,209][495402] Created Actor Critic model with architecture: +[2026-06-04 11:57:52,209][495402] ActorCriticSharedWeights( (obs_normalizer): ObservationNormalizer( (running_mean_std): RunningMeanStdDictInPlace( (running_mean_std): ModuleDict( @@ -61,1733 +61,2086 @@ (distribution_linear): Linear(in_features=512, out_features=6, bias=True) ) ) -[2026-06-02 22:37:55,743][513792] Using optimizer -[2026-06-02 22:37:56,506][513792] No checkpoints found -[2026-06-02 22:37:56,506][513792] Did not load from checkpoint, starting from scratch! -[2026-06-02 22:37:56,506][513792] Initialized policy 0 weights for model version 0 -[2026-06-02 22:37:56,511][513792] LearnerWorker_p0 finished initialization! -[2026-06-02 22:37:56,511][513792] Using GPUs [0] for process 0 (actually maps to GPUs [0]) -[2026-06-02 22:37:56,801][513861] Using GPUs [0] for process 0 (actually maps to GPUs [0]) -[2026-06-02 22:37:56,802][513861] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for inference process 0 -[2026-06-02 22:37:56,802][513861] Num visible devices: 1 -[2026-06-02 22:37:56,804][513861] RunningMeanStd input shape: (4, 84, 84) -[2026-06-02 22:37:56,835][513861] RunningMeanStd input shape: (1,) -[2026-06-02 22:37:56,836][513862] 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 22:37:56,837][513862] Using GPUs [0] for process 0 (actually maps to GPUs [0]) -[2026-06-02 22:37:56,837][513862] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for actor process 0 -[2026-06-02 22:37:56,837][513862] Num visible devices: 1 -[2026-06-02 22:37:56,842][513861] ConvEncoder: input_channels=4 -[2026-06-02 22:37:56,902][513861] Conv encoder output size: 512 -[2026-06-02 22:37:56,906][512914] Inference worker 0-0 is ready! -[2026-06-02 22:37:56,907][512914] All inference workers are ready! Signal rollout workers to start! -[2026-06-02 22:37:56,908][513862] EnvRunner 0-0 uses policy 0 -[2026-06-02 22:37:59,353][513792] Signal inference workers to stop experience collection... -[2026-06-02 22:37:59,367][513861] InferenceWorker_p0-w0: stopping experience collection -[2026-06-02 22:38:00,108][512914] Fps is (10 sec: nan, 60 sec: nan, 300 sec: nan). Total num frames: 0. Throughput: 0: nan. Samples: 34816. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0) -[2026-06-02 22:38:00,447][513792] Signal inference workers to resume experience collection... -[2026-06-02 22:38:00,448][513861] InferenceWorker_p0-w0: resuming experience collection -[2026-06-02 22:38:02,186][513861] Updated weights for policy 0, policy_version 66 (0.0034) -[2026-06-02 22:38:04,259][513861] Updated weights for policy 0, policy_version 144 (0.0010) -[2026-06-02 22:38:05,108][512914] Fps is (10 sec: 19661.1, 60 sec: 19661.1, 300 sec: 19661.1). Total num frames: 98304. Throughput: 0: 8294.5. Samples: 76288. Policy #0 lag: (min: 63.0, avg: 71.5, max: 127.0) -[2026-06-02 22:38:05,109][512914] Avg episode reward: [(0, '22.500')] -[2026-06-02 22:38:06,381][513861] Updated weights for policy 0, policy_version 224 (0.0010) -[2026-06-02 22:38:08,267][513861] Updated weights for policy 0, policy_version 272 (0.0010) -[2026-06-02 22:38:10,108][512914] Fps is (10 sec: 16384.1, 60 sec: 16384.1, 300 sec: 16384.1). Total num frames: 163840. Throughput: 0: 14131.3. Samples: 176128. Policy #0 lag: (min: 47.0, avg: 52.4, max: 111.0) -[2026-06-02 22:38:10,109][512914] Avg episode reward: [(0, '51.667')] -[2026-06-02 22:38:10,111][513792] Saving new best policy, reward=51.667! -[2026-06-02 22:38:10,330][513861] Updated weights for policy 0, policy_version 336 (0.0010) -[2026-06-02 22:38:12,506][513861] Updated weights for policy 0, policy_version 402 (0.0010) -[2026-06-02 22:38:14,026][512914] Heartbeat connected on Batcher_0 -[2026-06-02 22:38:14,030][512914] Heartbeat connected on LearnerWorker_p0 -[2026-06-02 22:38:14,040][512914] Heartbeat connected on RolloutWorker_w0 -[2026-06-02 22:38:14,068][512914] Heartbeat connected on InferenceWorker_p0-w0 -[2026-06-02 22:38:14,797][513861] Updated weights for policy 0, policy_version 466 (0.0011) -[2026-06-02 22:38:15,108][512914] Fps is (10 sec: 15564.8, 60 sec: 16930.2, 300 sec: 16930.2). Total num frames: 253952. Throughput: 0: 15360.1. Samples: 265216. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 22:38:15,109][512914] Avg episode reward: [(0, '70.000')] -[2026-06-02 22:38:15,168][513792] Saving new best policy, reward=70.000! -[2026-06-02 22:38:17,119][513861] Updated weights for policy 0, policy_version 544 (0.0010) -[2026-06-02 22:38:19,490][513861] Updated weights for policy 0, policy_version 610 (0.0009) -[2026-06-02 22:38:20,108][512914] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 16384.0). Total num frames: 327680. Throughput: 0: 13670.4. Samples: 308224. Policy #0 lag: (min: 47.0, avg: 52.0, max: 111.0) -[2026-06-02 22:38:20,109][512914] Avg episode reward: [(0, '102.950')] -[2026-06-02 22:38:20,113][513792] Saving new best policy, reward=102.950! -[2026-06-02 22:38:21,852][513861] Updated weights for policy 0, policy_version 674 (0.0010) -[2026-06-02 22:38:24,325][513861] Updated weights for policy 0, policy_version 758 (0.0010) -[2026-06-02 22:38:25,108][512914] Fps is (10 sec: 13926.4, 60 sec: 15728.7, 300 sec: 15728.7). Total num frames: 393216. Throughput: 0: 14356.5. Samples: 393728. Policy #0 lag: (min: 47.0, avg: 51.0, max: 111.0) -[2026-06-02 22:38:25,109][512914] Avg episode reward: [(0, '126.450')] -[2026-06-02 22:38:25,112][513792] Saving new best policy, reward=126.450! -[2026-06-02 22:38:26,693][513861] Updated weights for policy 0, policy_version 826 (0.0009) -[2026-06-02 22:38:29,053][513861] Updated weights for policy 0, policy_version 896 (0.0010) -[2026-06-02 22:38:30,108][512914] Fps is (10 sec: 13107.2, 60 sec: 15291.8, 300 sec: 15291.8). Total num frames: 458752. Throughput: 0: 14745.6. Samples: 477184. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 22:38:30,112][512914] Avg episode reward: [(0, '147.500')] -[2026-06-02 22:38:30,116][513792] Saving new best policy, reward=147.500! -[2026-06-02 22:38:33,402][513861] Updated weights for policy 0, policy_version 976 (0.0009) -[2026-06-02 22:38:35,108][512914] Fps is (10 sec: 13107.2, 60 sec: 14979.7, 300 sec: 14979.7). Total num frames: 524288. Throughput: 0: 13838.7. Samples: 519168. Policy #0 lag: (min: 41.0, avg: 44.7, max: 105.0) -[2026-06-02 22:38:35,109][512914] Avg episode reward: [(0, '147.800')] -[2026-06-02 22:38:35,113][513792] Saving new best policy, reward=147.800! -[2026-06-02 22:38:35,812][513792] Signal inference workers to stop experience collection... (50 times) -[2026-06-02 22:38:35,841][513861] InferenceWorker_p0-w0: stopping experience collection (50 times) -[2026-06-02 22:38:35,858][513861] Updated weights for policy 0, policy_version 1058 (0.0009) -[2026-06-02 22:38:35,932][513792] Signal inference workers to resume experience collection... (50 times) -[2026-06-02 22:38:35,933][513861] InferenceWorker_p0-w0: resuming experience collection (50 times) -[2026-06-02 22:38:38,167][513861] Updated weights for policy 0, policy_version 1136 (0.0009) -[2026-06-02 22:38:40,108][512914] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 14745.6). Total num frames: 589824. Throughput: 0: 14233.6. Samples: 604160. Policy #0 lag: (min: 2.0, avg: 7.0, max: 66.0) -[2026-06-02 22:38:40,109][512914] Avg episode reward: [(0, '153.650')] -[2026-06-02 22:38:40,382][513792] Saving new best policy, reward=153.650! -[2026-06-02 22:38:40,574][513861] Updated weights for policy 0, policy_version 1205 (0.0009) -[2026-06-02 22:38:43,007][513861] Updated weights for policy 0, policy_version 1277 (0.0009) -[2026-06-02 22:38:45,108][512914] Fps is (10 sec: 13926.4, 60 sec: 14745.6, 300 sec: 14745.6). Total num frames: 663552. Throughput: 0: 14529.4. Samples: 688640. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) -[2026-06-02 22:38:45,109][512914] Avg episode reward: [(0, '169.400')] -[2026-06-02 22:38:45,220][513792] Saving new best policy, reward=169.400! -[2026-06-02 22:38:47,489][513861] Updated weights for policy 0, policy_version 1376 (0.0010) -[2026-06-02 22:38:49,917][513861] Updated weights for policy 0, policy_version 1458 (0.0010) -[2026-06-02 22:38:50,108][512914] Fps is (10 sec: 16384.0, 60 sec: 15073.3, 300 sec: 15073.3). Total num frames: 753664. Throughput: 0: 14483.9. Samples: 728064. Policy #0 lag: (min: 5.0, avg: 9.3, max: 69.0) -[2026-06-02 22:38:50,109][512914] Avg episode reward: [(0, '169.550')] -[2026-06-02 22:38:50,112][513792] Saving new best policy, reward=169.550! -[2026-06-02 22:38:52,424][513861] Updated weights for policy 0, policy_version 1531 (0.0009) -[2026-06-02 22:38:54,704][513861] Updated weights for policy 0, policy_version 1590 (0.0009) -[2026-06-02 22:38:55,108][512914] Fps is (10 sec: 15564.8, 60 sec: 14894.6, 300 sec: 14894.6). Total num frames: 819200. Throughput: 0: 14176.7. Samples: 814080. Policy #0 lag: (min: 8.0, avg: 13.2, max: 72.0) -[2026-06-02 22:38:55,109][512914] Avg episode reward: [(0, '180.400')] -[2026-06-02 22:38:55,112][513792] Saving new best policy, reward=180.400! -[2026-06-02 22:38:59,123][513861] Updated weights for policy 0, policy_version 1680 (0.0010) -[2026-06-02 22:39:00,108][512914] Fps is (10 sec: 13107.1, 60 sec: 14745.6, 300 sec: 14745.6). Total num frames: 884736. Throughput: 0: 14017.4. Samples: 896000. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) -[2026-06-02 22:39:00,109][512914] Avg episode reward: [(0, '172.000')] -[2026-06-02 22:39:01,497][513861] Updated weights for policy 0, policy_version 1760 (0.0010) -[2026-06-02 22:39:03,723][513861] Updated weights for policy 0, policy_version 1824 (0.0009) -[2026-06-02 22:39:05,108][512914] Fps is (10 sec: 13107.0, 60 sec: 14199.4, 300 sec: 14619.6). Total num frames: 950272. Throughput: 0: 14097.0. Samples: 942592. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) -[2026-06-02 22:39:05,109][512914] Avg episode reward: [(0, '175.200')] -[2026-06-02 22:39:06,210][513861] Updated weights for policy 0, policy_version 1912 (0.0007) -[2026-06-02 22:39:08,604][513861] Updated weights for policy 0, policy_version 1984 (0.0007) -[2026-06-02 22:39:10,108][512914] Fps is (10 sec: 13107.3, 60 sec: 14199.5, 300 sec: 14511.6). Total num frames: 1015808. Throughput: 0: 14028.8. Samples: 1025024. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) -[2026-06-02 22:39:10,109][512914] Avg episode reward: [(0, '179.650')] -[2026-06-02 22:39:12,756][513861] Updated weights for policy 0, policy_version 2064 (0.0010) -[2026-06-02 22:39:15,037][513792] Signal inference workers to stop experience collection... (100 times) -[2026-06-02 22:39:15,065][513861] InferenceWorker_p0-w0: stopping experience collection (100 times) -[2026-06-02 22:39:15,108][512914] Fps is (10 sec: 13926.6, 60 sec: 13926.4, 300 sec: 14527.2). Total num frames: 1089536. Throughput: 0: 14165.3. Samples: 1114624. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-02 22:39:15,109][512914] Avg episode reward: [(0, '171.250')] -[2026-06-02 22:39:15,159][513792] Signal inference workers to resume experience collection... (100 times) -[2026-06-02 22:39:15,159][513861] InferenceWorker_p0-w0: resuming experience collection (100 times) -[2026-06-02 22:39:15,271][513861] Updated weights for policy 0, policy_version 2160 (0.0012) -[2026-06-02 22:39:17,482][513861] Updated weights for policy 0, policy_version 2210 (0.0009) -[2026-06-02 22:39:19,844][513861] Updated weights for policy 0, policy_version 2299 (0.0010) -[2026-06-02 22:39:20,108][512914] Fps is (10 sec: 16384.0, 60 sec: 14199.5, 300 sec: 14745.6). Total num frames: 1179648. Throughput: 0: 14131.2. Samples: 1155072. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) -[2026-06-02 22:39:20,109][512914] Avg episode reward: [(0, '169.600')] -[2026-06-02 22:39:22,173][513861] Updated weights for policy 0, policy_version 2367 (0.0009) -[2026-06-02 22:39:24,402][513861] Updated weights for policy 0, policy_version 2432 (0.0009) -[2026-06-02 22:39:25,108][512914] Fps is (10 sec: 15564.8, 60 sec: 14199.5, 300 sec: 14649.2). Total num frames: 1245184. Throughput: 0: 14267.7. Samples: 1246208. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) -[2026-06-02 22:39:25,109][512914] Avg episode reward: [(0, '163.150')] -[2026-06-02 22:39:28,412][513861] Updated weights for policy 0, policy_version 2498 (0.0010) -[2026-06-02 22:39:30,108][512914] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14563.6). Total num frames: 1310720. Throughput: 0: 14290.5. Samples: 1331712. Policy #0 lag: (min: 12.0, avg: 16.4, max: 76.0) -[2026-06-02 22:39:30,109][512914] Avg episode reward: [(0, '187.150')] -[2026-06-02 22:39:30,112][513792] Saving new best policy, reward=187.150! -[2026-06-02 22:39:30,697][513861] Updated weights for policy 0, policy_version 2578 (0.0010) -[2026-06-02 22:39:32,929][513861] Updated weights for policy 0, policy_version 2642 (0.0009) -[2026-06-02 22:39:35,108][512914] Fps is (10 sec: 14745.6, 60 sec: 14472.5, 300 sec: 14659.4). Total num frames: 1392640. Throughput: 0: 14438.4. Samples: 1377792. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) -[2026-06-02 22:39:35,108][513861] Updated weights for policy 0, policy_version 2720 (0.0010) -[2026-06-02 22:39:35,109][512914] Avg episode reward: [(0, '201.700')] -[2026-06-02 22:39:35,391][513792] Saving new best policy, reward=201.700! -[2026-06-02 22:39:37,605][513861] Updated weights for policy 0, policy_version 2800 (0.0010) -[2026-06-02 22:39:39,798][513861] Updated weights for policy 0, policy_version 2864 (0.0009) -[2026-06-02 22:39:40,108][512914] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 14745.6). Total num frames: 1474560. Throughput: 0: 14483.9. Samples: 1465856. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 22:39:40,109][512914] Avg episode reward: [(0, '187.900')] -[2026-06-02 22:39:42,116][513861] Updated weights for policy 0, policy_version 2932 (0.0012) -[2026-06-02 22:39:44,372][513861] Updated weights for policy 0, policy_version 3008 (0.0010) -[2026-06-02 22:39:45,108][512914] Fps is (10 sec: 14745.6, 60 sec: 14609.1, 300 sec: 14667.6). Total num frames: 1540096. Throughput: 0: 14609.1. Samples: 1553408. Policy #0 lag: (min: 5.0, avg: 10.2, max: 69.0) -[2026-06-02 22:39:45,109][512914] Avg episode reward: [(0, '195.650')] -[2026-06-02 22:39:48,426][513861] Updated weights for policy 0, policy_version 3074 (0.0010) -[2026-06-02 22:39:48,949][513861] Updated weights for policy 0, policy_version 3136 (0.0010) -[2026-06-02 22:39:50,108][512914] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14596.7). Total num frames: 1605632. Throughput: 0: 14563.6. Samples: 1597952. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) -[2026-06-02 22:39:50,109][512914] Avg episode reward: [(0, '206.900')] -[2026-06-02 22:39:50,112][513792] Saving new best policy, reward=206.900! -[2026-06-02 22:39:51,235][513861] Updated weights for policy 0, policy_version 3200 (0.0010) -[2026-06-02 22:39:52,909][513792] Signal inference workers to stop experience collection... (150 times) -[2026-06-02 22:39:52,937][513861] InferenceWorker_p0-w0: stopping experience collection (150 times) -[2026-06-02 22:39:53,030][513792] Signal inference workers to resume experience collection... (150 times) -[2026-06-02 22:39:53,031][513861] InferenceWorker_p0-w0: resuming experience collection (150 times) -[2026-06-02 22:39:55,108][512914] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14531.9). Total num frames: 1671168. Throughput: 0: 14666.0. Samples: 1684992. Policy #0 lag: (min: 2.0, avg: 6.2, max: 66.0) -[2026-06-02 22:39:55,109][512914] Avg episode reward: [(0, '223.150')] -[2026-06-02 22:39:55,114][513792] Saving new best policy, reward=223.150! -[2026-06-02 22:39:55,316][513861] Updated weights for policy 0, policy_version 3280 (0.0010) -[2026-06-02 22:39:57,925][513861] Updated weights for policy 0, policy_version 3376 (0.0011) -[2026-06-02 22:40:00,108][512914] Fps is (10 sec: 14745.6, 60 sec: 14472.6, 300 sec: 14609.1). Total num frames: 1753088. Throughput: 0: 14574.9. Samples: 1770496. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) -[2026-06-02 22:40:00,109][512914] Avg episode reward: [(0, '224.450')] -[2026-06-02 22:40:00,233][513861] Updated weights for policy 0, policy_version 3440 (0.0010) -[2026-06-02 22:40:00,411][513792] Saving new best policy, reward=224.450! -[2026-06-02 22:40:02,485][513861] Updated weights for policy 0, policy_version 3514 (0.0012) -[2026-06-02 22:40:04,807][513861] Updated weights for policy 0, policy_version 3581 (0.0012) -[2026-06-02 22:40:05,108][512914] Fps is (10 sec: 16383.8, 60 sec: 14745.6, 300 sec: 14680.1). Total num frames: 1835008. Throughput: 0: 14609.0. Samples: 1812480. Policy #0 lag: (min: 4.0, avg: 9.0, max: 68.0) -[2026-06-02 22:40:05,109][512914] Avg episode reward: [(0, '217.050')] -[2026-06-02 22:40:07,209][513861] Updated weights for policy 0, policy_version 3646 (0.0012) -[2026-06-02 22:40:09,597][513861] Updated weights for policy 0, policy_version 3712 (0.0010) -[2026-06-02 22:40:10,108][512914] Fps is (10 sec: 14745.3, 60 sec: 14745.6, 300 sec: 14619.6). Total num frames: 1900544. Throughput: 0: 14518.0. Samples: 1899520. Policy #0 lag: (min: 2.0, avg: 6.3, max: 66.0) -[2026-06-02 22:40:10,109][512914] Avg episode reward: [(0, '202.550')] -[2026-06-02 22:40:11,779][513861] Updated weights for policy 0, policy_version 3776 (0.0010) -[2026-06-02 22:40:15,108][512914] Fps is (10 sec: 13107.1, 60 sec: 14609.0, 300 sec: 14563.5). Total num frames: 1966080. Throughput: 0: 14597.6. Samples: 1988608. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 22:40:15,109][512914] Avg episode reward: [(0, '228.100')] -[2026-06-02 22:40:15,113][513792] Saving new best policy, reward=228.100! -[2026-06-02 22:40:15,738][513861] Updated weights for policy 0, policy_version 3856 (0.0010) -[2026-06-02 22:40:18,053][513861] Updated weights for policy 0, policy_version 3936 (0.0010) -[2026-06-02 22:40:20,108][512914] Fps is (10 sec: 13107.3, 60 sec: 14199.5, 300 sec: 14511.5). Total num frames: 2031616. Throughput: 0: 14552.2. Samples: 2032640. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) -[2026-06-02 22:40:20,109][512914] Avg episode reward: [(0, '233.650')] -[2026-06-02 22:40:20,113][513792] Saving new best policy, reward=233.650! -[2026-06-02 22:40:20,538][513861] Updated weights for policy 0, policy_version 4020 (0.0010) -[2026-06-02 22:40:22,814][513861] Updated weights for policy 0, policy_version 4095 (0.0010) -[2026-06-02 22:40:25,108][512914] Fps is (10 sec: 16384.3, 60 sec: 14745.6, 300 sec: 14689.1). Total num frames: 2129920. Throughput: 0: 14552.2. Samples: 2120704. Policy #0 lag: (min: 25.0, avg: 28.7, max: 89.0) -[2026-06-02 22:40:25,109][512914] Avg episode reward: [(0, '223.550')] -[2026-06-02 22:40:26,880][513861] Updated weights for policy 0, policy_version 4164 (0.0010) -[2026-06-02 22:40:29,147][513861] Updated weights for policy 0, policy_version 4226 (0.0009) -[2026-06-02 22:40:29,349][513792] Signal inference workers to stop experience collection... (200 times) -[2026-06-02 22:40:29,378][513861] InferenceWorker_p0-w0: stopping experience collection (200 times) -[2026-06-02 22:40:29,467][513792] Signal inference workers to resume experience collection... (200 times) -[2026-06-02 22:40:29,468][513861] InferenceWorker_p0-w0: resuming experience collection (200 times) -[2026-06-02 22:40:29,672][513861] Updated weights for policy 0, policy_version 4288 (0.0009) -[2026-06-02 22:40:30,108][512914] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 14636.4). Total num frames: 2195456. Throughput: 0: 14495.3. Samples: 2205696. Policy #0 lag: (min: 31.0, avg: 36.5, max: 95.0) -[2026-06-02 22:40:30,109][512914] Avg episode reward: [(0, '248.700')] -[2026-06-02 22:40:30,113][513792] Saving new best policy, reward=248.700! -[2026-06-02 22:40:33,469][513861] Updated weights for policy 0, policy_version 4353 (0.0010) -[2026-06-02 22:40:35,108][512914] Fps is (10 sec: 13107.1, 60 sec: 14472.5, 300 sec: 14587.0). Total num frames: 2260992. Throughput: 0: 14563.5. Samples: 2253312. Policy #0 lag: (min: 31.0, avg: 36.5, max: 95.0) -[2026-06-02 22:40:35,109][512914] Avg episode reward: [(0, '276.050')] -[2026-06-02 22:40:35,113][513792] Saving new best policy, reward=276.050! -[2026-06-02 22:40:35,723][513861] Updated weights for policy 0, policy_version 4418 (0.0010) -[2026-06-02 22:40:37,761][513861] Updated weights for policy 0, policy_version 4482 (0.0010) -[2026-06-02 22:40:40,108][512914] Fps is (10 sec: 13926.4, 60 sec: 14336.0, 300 sec: 14592.0). Total num frames: 2334720. Throughput: 0: 14631.8. Samples: 2343424. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 22:40:40,109][512914] Avg episode reward: [(0, '265.650')] -[2026-06-02 22:40:40,120][513861] Updated weights for policy 0, policy_version 4562 (0.0010) -[2026-06-02 22:40:42,306][513861] Updated weights for policy 0, policy_version 4640 (0.0011) -[2026-06-02 22:40:44,510][513861] Updated weights for policy 0, policy_version 4706 (0.0008) -[2026-06-02 22:40:45,108][512914] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 14696.0). Total num frames: 2424832. Throughput: 0: 14700.1. Samples: 2432000. Policy #0 lag: (min: 15.0, avg: 20.8, max: 79.0) -[2026-06-02 22:40:45,109][512914] Avg episode reward: [(0, '231.650')] -[2026-06-02 22:40:46,935][513861] Updated weights for policy 0, policy_version 4784 (0.0007) -[2026-06-02 22:40:49,051][513861] Updated weights for policy 0, policy_version 4848 (0.0007) -[2026-06-02 22:40:50,108][512914] Fps is (10 sec: 15564.7, 60 sec: 14745.6, 300 sec: 14649.2). Total num frames: 2490368. Throughput: 0: 14779.7. Samples: 2477568. Policy #0 lag: (min: 52.0, avg: 56.3, max: 116.0) -[2026-06-02 22:40:50,109][512914] Avg episode reward: [(0, '255.200')] -[2026-06-02 22:40:51,223][513861] Updated weights for policy 0, policy_version 4914 (0.0007) -[2026-06-02 22:40:53,483][513861] Updated weights for policy 0, policy_version 4992 (0.0009) -[2026-06-02 22:40:55,108][512914] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 14605.2). Total num frames: 2555904. Throughput: 0: 14848.0. Samples: 2567680. Policy #0 lag: (min: 7.0, avg: 10.7, max: 71.0) -[2026-06-02 22:40:55,109][512914] Avg episode reward: [(0, '257.900')] -[2026-06-02 22:40:57,538][513861] Updated weights for policy 0, policy_version 5072 (0.0010) -[2026-06-02 22:40:59,651][513861] Updated weights for policy 0, policy_version 5136 (0.0010) -[2026-06-02 22:41:00,108][512914] Fps is (10 sec: 16384.0, 60 sec: 15018.6, 300 sec: 14745.6). Total num frames: 2654208. Throughput: 0: 14870.8. Samples: 2657792. Policy #0 lag: (min: 6.0, avg: 11.1, max: 70.0) -[2026-06-02 22:41:00,109][512914] Avg episode reward: [(0, '308.100')] -[2026-06-02 22:41:00,113][513792] Saving new best policy, reward=308.100! -[2026-06-02 22:41:01,974][513861] Updated weights for policy 0, policy_version 5216 (0.0010) -[2026-06-02 22:41:04,291][513861] Updated weights for policy 0, policy_version 5282 (0.0010) -[2026-06-02 22:41:05,108][512914] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 14701.3). Total num frames: 2719744. Throughput: 0: 14904.9. Samples: 2703360. Policy #0 lag: (min: 6.0, avg: 11.1, max: 70.0) -[2026-06-02 22:41:05,109][512914] Avg episode reward: [(0, '350.250')] -[2026-06-02 22:41:05,113][513792] Saving new best policy, reward=350.250! -[2026-06-02 22:41:06,370][513792] Signal inference workers to stop experience collection... (250 times) -[2026-06-02 22:41:06,399][513861] InferenceWorker_p0-w0: stopping experience collection (250 times) -[2026-06-02 22:41:06,492][513792] Signal inference workers to resume experience collection... (250 times) -[2026-06-02 22:41:06,493][513861] InferenceWorker_p0-w0: resuming experience collection (250 times) -[2026-06-02 22:41:06,538][513861] Updated weights for policy 0, policy_version 5346 (0.0010) -[2026-06-02 22:41:08,757][513861] Updated weights for policy 0, policy_version 5424 (0.0010) -[2026-06-02 22:41:10,108][512914] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 14659.4). Total num frames: 2785280. Throughput: 0: 14893.5. Samples: 2790912. Policy #0 lag: (min: 2.0, avg: 6.6, max: 66.0) -[2026-06-02 22:41:10,109][512914] Avg episode reward: [(0, '289.800')] -[2026-06-02 22:41:10,982][513861] Updated weights for policy 0, policy_version 5492 (0.0010) -[2026-06-02 22:41:13,050][513861] Updated weights for policy 0, policy_version 5559 (0.0011) -[2026-06-02 22:41:15,108][512914] Fps is (10 sec: 15564.8, 60 sec: 15155.2, 300 sec: 14745.6). Total num frames: 2875392. Throughput: 0: 15098.3. Samples: 2885120. Policy #0 lag: (min: 9.0, avg: 13.6, max: 73.0) -[2026-06-02 22:41:15,109][512914] Avg episode reward: [(0, '302.350')] -[2026-06-02 22:41:15,277][513861] Updated weights for policy 0, policy_version 5632 (0.0011) -[2026-06-02 22:41:19,091][513861] Updated weights for policy 0, policy_version 5712 (0.0009) -[2026-06-02 22:41:20,108][512914] Fps is (10 sec: 16384.1, 60 sec: 15291.7, 300 sec: 14745.6). Total num frames: 2949120. Throughput: 0: 15086.9. Samples: 2932224. Policy #0 lag: (min: 4.0, avg: 9.1, max: 68.0) -[2026-06-02 22:41:20,109][512914] Avg episode reward: [(0, '339.800')] -[2026-06-02 22:41:21,451][513861] Updated weights for policy 0, policy_version 5792 (0.0010) -[2026-06-02 22:41:23,670][513861] Updated weights for policy 0, policy_version 5858 (0.0010) -[2026-06-02 22:41:25,108][512914] Fps is (10 sec: 13926.4, 60 sec: 14745.6, 300 sec: 14705.6). Total num frames: 3014656. Throughput: 0: 15052.8. Samples: 3020800. Policy #0 lag: (min: 4.0, avg: 9.1, max: 68.0) -[2026-06-02 22:41:25,109][512914] Avg episode reward: [(0, '314.250')] -[2026-06-02 22:41:25,828][513861] Updated weights for policy 0, policy_version 5922 (0.0010) -[2026-06-02 22:41:28,049][513861] Updated weights for policy 0, policy_version 6000 (0.0010) -[2026-06-02 22:41:29,988][513861] Updated weights for policy 0, policy_version 6064 (0.0010) -[2026-06-02 22:41:30,108][512914] Fps is (10 sec: 15564.8, 60 sec: 15155.2, 300 sec: 14784.6). Total num frames: 3104768. Throughput: 0: 15200.7. Samples: 3116032. Policy #0 lag: (min: 6.0, avg: 11.1, max: 70.0) -[2026-06-02 22:41:30,109][512914] Avg episode reward: [(0, '356.700')] -[2026-06-02 22:41:30,161][513792] Saving new best policy, reward=356.700! -[2026-06-02 22:41:32,277][513861] Updated weights for policy 0, policy_version 6134 (0.0010) -[2026-06-02 22:41:34,440][513861] Updated weights for policy 0, policy_version 6194 (0.0010) -[2026-06-02 22:41:35,108][512914] Fps is (10 sec: 16384.1, 60 sec: 15291.7, 300 sec: 14783.7). Total num frames: 3178496. Throughput: 0: 15189.4. Samples: 3161088. Policy #0 lag: (min: 3.0, avg: 8.1, max: 67.0) -[2026-06-02 22:41:35,109][512914] Avg episode reward: [(0, '370.850')] -[2026-06-02 22:41:35,113][513792] Saving new best policy, reward=370.850! -[2026-06-02 22:41:36,778][513861] Updated weights for policy 0, policy_version 6268 (0.0010) -[2026-06-02 22:41:40,108][512914] Fps is (10 sec: 13926.5, 60 sec: 15155.2, 300 sec: 14745.6). Total num frames: 3244032. Throughput: 0: 15132.5. Samples: 3248640. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) -[2026-06-02 22:41:40,109][512914] Avg episode reward: [(0, '386.650')] -[2026-06-02 22:41:40,112][513792] Saving new best policy, reward=386.650! -[2026-06-02 22:41:40,664][513861] Updated weights for policy 0, policy_version 6337 (0.0010) -[2026-06-02 22:41:42,811][513792] Signal inference workers to stop experience collection... (300 times) -[2026-06-02 22:41:42,857][513861] InferenceWorker_p0-w0: stopping experience collection (300 times) -[2026-06-02 22:41:42,872][513861] Updated weights for policy 0, policy_version 6404 (0.0010) -[2026-06-02 22:41:42,949][513792] Signal inference workers to resume experience collection... (300 times) -[2026-06-02 22:41:42,950][513861] InferenceWorker_p0-w0: resuming experience collection (300 times) -[2026-06-02 22:41:43,341][513861] Updated weights for policy 0, policy_version 6462 (0.0011) -[2026-06-02 22:41:45,108][512914] Fps is (10 sec: 14745.5, 60 sec: 15018.7, 300 sec: 14782.0). Total num frames: 3325952. Throughput: 0: 15234.9. Samples: 3343360. Policy #0 lag: (min: 7.0, avg: 13.2, max: 71.0) -[2026-06-02 22:41:45,109][512914] Avg episode reward: [(0, '401.600')] -[2026-06-02 22:41:45,349][513792] Saving new best policy, reward=401.600! -[2026-06-02 22:41:45,376][513861] Updated weights for policy 0, policy_version 6528 (0.0010) -[2026-06-02 22:41:47,466][513861] Updated weights for policy 0, policy_version 6589 (0.0010) -[2026-06-02 22:41:49,590][513861] Updated weights for policy 0, policy_version 6656 (0.0010) -[2026-06-02 22:41:50,108][512914] Fps is (10 sec: 16383.8, 60 sec: 15291.7, 300 sec: 14816.8). Total num frames: 3407872. Throughput: 0: 15257.6. Samples: 3389952. Policy #0 lag: (min: 7.0, avg: 13.2, max: 71.0) -[2026-06-02 22:41:50,109][512914] Avg episode reward: [(0, '419.400')] -[2026-06-02 22:41:50,113][513792] Saving new best policy, reward=419.400! -[2026-06-02 22:41:53,385][513861] Updated weights for policy 0, policy_version 6736 (0.0010) -[2026-06-02 22:41:55,108][512914] Fps is (10 sec: 14745.5, 60 sec: 15291.7, 300 sec: 14780.5). Total num frames: 3473408. Throughput: 0: 15337.2. Samples: 3481088. Policy #0 lag: (min: 3.0, avg: 7.9, max: 67.0) -[2026-06-02 22:41:55,109][512914] Avg episode reward: [(0, '462.800')] -[2026-06-02 22:41:55,113][513792] Saving new best policy, reward=462.800! -[2026-06-02 22:41:55,542][513861] Updated weights for policy 0, policy_version 6802 (0.0010) -[2026-06-02 22:41:57,736][513861] Updated weights for policy 0, policy_version 6880 (0.0010) -[2026-06-02 22:41:59,862][513861] Updated weights for policy 0, policy_version 6930 (0.0010) -[2026-06-02 22:42:00,108][512914] Fps is (10 sec: 15564.9, 60 sec: 15155.2, 300 sec: 14848.0). Total num frames: 3563520. Throughput: 0: 15314.5. Samples: 3574272. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 22:42:00,109][512914] Avg episode reward: [(0, '426.300')] -[2026-06-02 22:42:01,753][513861] Updated weights for policy 0, policy_version 6994 (0.0010) -[2026-06-02 22:42:03,861][513861] Updated weights for policy 0, policy_version 7056 (0.0009) -[2026-06-02 22:42:05,108][512914] Fps is (10 sec: 16384.0, 60 sec: 15291.7, 300 sec: 14845.9). Total num frames: 3637248. Throughput: 0: 15371.3. Samples: 3623936. Policy #0 lag: (min: 12.0, avg: 17.3, max: 76.0) -[2026-06-02 22:42:05,109][512914] Avg episode reward: [(0, '442.500')] -[2026-06-02 22:42:06,032][513861] Updated weights for policy 0, policy_version 7122 (0.0007) -[2026-06-02 22:42:08,182][513861] Updated weights for policy 0, policy_version 7200 (0.0010) -[2026-06-02 22:42:10,108][512914] Fps is (10 sec: 13926.4, 60 sec: 15291.7, 300 sec: 14811.1). Total num frames: 3702784. Throughput: 0: 15473.8. Samples: 3717120. Policy #0 lag: (min: 12.0, avg: 17.3, max: 76.0) -[2026-06-02 22:42:10,109][512914] Avg episode reward: [(0, '560.800')] -[2026-06-02 22:42:10,183][513861] Updated weights for policy 0, policy_version 7248 (0.0009) -[2026-06-02 22:42:10,303][513792] Saving new best policy, reward=560.800! -[2026-06-02 22:42:12,361][513861] Updated weights for policy 0, policy_version 7312 (0.0010) -[2026-06-02 22:42:14,747][513861] Updated weights for policy 0, policy_version 7392 (0.0010) -[2026-06-02 22:42:15,108][512914] Fps is (10 sec: 16384.2, 60 sec: 15428.3, 300 sec: 14906.2). Total num frames: 3801088. Throughput: 0: 15314.5. Samples: 3805184. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 22:42:15,109][512914] Avg episode reward: [(0, '533.350')] -[2026-06-02 22:42:16,875][513792] Signal inference workers to stop experience collection... (350 times) -[2026-06-02 22:42:16,904][513861] InferenceWorker_p0-w0: stopping experience collection (350 times) -[2026-06-02 22:42:16,920][513861] Updated weights for policy 0, policy_version 7458 (0.0010) -[2026-06-02 22:42:17,006][513792] Signal inference workers to resume experience collection... (350 times) -[2026-06-02 22:42:17,007][513861] InferenceWorker_p0-w0: resuming experience collection (350 times) -[2026-06-02 22:42:18,971][513861] Updated weights for policy 0, policy_version 7520 (0.0010) -[2026-06-02 22:42:20,108][512914] Fps is (10 sec: 16383.9, 60 sec: 15291.7, 300 sec: 14871.6). Total num frames: 3866624. Throughput: 0: 15371.4. Samples: 3852800. Policy #0 lag: (min: 11.0, avg: 15.2, max: 75.0) -[2026-06-02 22:42:20,109][512914] Avg episode reward: [(0, '478.900')] -[2026-06-02 22:42:21,354][513861] Updated weights for policy 0, policy_version 7600 (0.0010) -[2026-06-02 22:42:23,540][513861] Updated weights for policy 0, policy_version 7669 (0.0010) -[2026-06-02 22:42:25,108][512914] Fps is (10 sec: 13107.1, 60 sec: 15291.7, 300 sec: 14838.3). Total num frames: 3932160. Throughput: 0: 15428.2. Samples: 3942912. Policy #0 lag: (min: 31.0, avg: 36.0, max: 95.0) -[2026-06-02 22:42:25,109][512914] Avg episode reward: [(0, '488.800')] -[2026-06-02 22:42:25,667][513861] Updated weights for policy 0, policy_version 7743 (0.0010) -[2026-06-02 22:42:29,332][513861] Updated weights for policy 0, policy_version 7824 (0.0010) -[2026-06-02 22:42:30,108][512914] Fps is (10 sec: 16383.9, 60 sec: 15428.2, 300 sec: 14927.6). Total num frames: 4030464. Throughput: 0: 15462.4. Samples: 4039168. Policy #0 lag: (min: 31.0, avg: 36.0, max: 95.0) -[2026-06-02 22:42:30,109][512914] Avg episode reward: [(0, '547.350')] -[2026-06-02 22:42:31,401][513861] Updated weights for policy 0, policy_version 7875 (0.0010) -[2026-06-02 22:42:33,437][513861] Updated weights for policy 0, policy_version 7952 (0.0010) -[2026-06-02 22:42:35,108][512914] Fps is (10 sec: 16383.9, 60 sec: 15291.7, 300 sec: 14894.5). Total num frames: 4096000. Throughput: 0: 15564.8. Samples: 4090368. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 22:42:35,109][512914] Avg episode reward: [(0, '586.550')] -[2026-06-02 22:42:35,114][513792] Saving new best policy, reward=586.550! -[2026-06-02 22:42:35,497][513861] Updated weights for policy 0, policy_version 8016 (0.0010) -[2026-06-02 22:42:37,386][513861] Updated weights for policy 0, policy_version 8065 (0.0009) -[2026-06-02 22:42:37,912][513861] Updated weights for policy 0, policy_version 8128 (0.0009) -[2026-06-02 22:42:40,108][512914] Fps is (10 sec: 16384.0, 60 sec: 15837.8, 300 sec: 14979.7). Total num frames: 4194304. Throughput: 0: 15633.1. Samples: 4184576. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 22:42:40,109][512914] Avg episode reward: [(0, '643.400')] -[2026-06-02 22:42:40,113][513792] Saving new best policy, reward=643.400! -[2026-06-02 22:42:41,760][513861] Updated weights for policy 0, policy_version 8210 (0.0010) -[2026-06-02 22:42:43,899][513861] Updated weights for policy 0, policy_version 8288 (0.0009) -[2026-06-02 22:42:45,108][512914] Fps is (10 sec: 16384.2, 60 sec: 15564.8, 300 sec: 14946.8). Total num frames: 4259840. Throughput: 0: 15701.3. Samples: 4280832. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 22:42:45,109][512914] Avg episode reward: [(0, '703.800')] -[2026-06-02 22:42:45,113][513792] Saving new best policy, reward=703.800! -[2026-06-02 22:42:45,985][513861] Updated weights for policy 0, policy_version 8368 (0.0010) -[2026-06-02 22:42:48,010][513861] Updated weights for policy 0, policy_version 8432 (0.0009) -[2026-06-02 22:42:50,108][512914] Fps is (10 sec: 14745.7, 60 sec: 15564.8, 300 sec: 14971.6). Total num frames: 4341760. Throughput: 0: 15667.2. Samples: 4328960. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 22:42:50,109][512914] Avg episode reward: [(0, '678.100')] -[2026-06-02 22:42:50,182][513861] Updated weights for policy 0, policy_version 8498 (0.0009) -[2026-06-02 22:42:51,873][513792] Signal inference workers to stop experience collection... (400 times) -[2026-06-02 22:42:51,903][513861] InferenceWorker_p0-w0: stopping experience collection (400 times) -[2026-06-02 22:42:51,995][513792] Signal inference workers to resume experience collection... (400 times) -[2026-06-02 22:42:51,996][513861] InferenceWorker_p0-w0: resuming experience collection (400 times) -[2026-06-02 22:42:52,188][513861] Updated weights for policy 0, policy_version 8566 (0.0010) -[2026-06-02 22:42:54,234][513861] Updated weights for policy 0, policy_version 8630 (0.0009) -[2026-06-02 22:42:55,108][512914] Fps is (10 sec: 16384.0, 60 sec: 15837.9, 300 sec: 14995.5). Total num frames: 4423680. Throughput: 0: 15724.1. Samples: 4424704. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 22:42:55,109][512914] Avg episode reward: [(0, '781.800')] -[2026-06-02 22:42:55,113][513792] Saving new best policy, reward=781.800! -[2026-06-02 22:42:56,372][513861] Updated weights for policy 0, policy_version 8694 (0.0010) -[2026-06-02 22:42:58,371][513861] Updated weights for policy 0, policy_version 8758 (0.0010) -[2026-06-02 22:43:00,108][512914] Fps is (10 sec: 16383.9, 60 sec: 15701.3, 300 sec: 14940.0). Total num frames: 4505600. Throughput: 0: 15951.6. Samples: 4523008. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 22:43:00,109][512914] Avg episode reward: [(0, '739.900')] -[2026-06-02 22:43:00,334][513861] Updated weights for policy 0, policy_version 8831 (0.0009) -[2026-06-02 22:43:02,350][513861] Updated weights for policy 0, policy_version 8895 (0.0009) -[2026-06-02 22:43:04,255][513861] Updated weights for policy 0, policy_version 8960 (0.0009) -[2026-06-02 22:43:05,108][512914] Fps is (10 sec: 16383.8, 60 sec: 15837.9, 300 sec: 14995.5). Total num frames: 4587520. Throughput: 0: 15974.4. Samples: 4571648. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 22:43:05,109][512914] Avg episode reward: [(0, '704.100')] -[2026-06-02 22:43:06,265][513861] Updated weights for policy 0, policy_version 9024 (0.0010) -[2026-06-02 22:43:09,804][513861] Updated weights for policy 0, policy_version 9090 (0.0010) -[2026-06-02 22:43:10,108][512914] Fps is (10 sec: 16384.1, 60 sec: 16110.9, 300 sec: 14967.8). Total num frames: 4669440. Throughput: 0: 16145.1. Samples: 4669440. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 22:43:10,109][512914] Avg episode reward: [(0, '730.400')] -[2026-06-02 22:43:11,786][513861] Updated weights for policy 0, policy_version 9154 (0.0009) -[2026-06-02 22:43:14,007][513861] Updated weights for policy 0, policy_version 9248 (0.0010) -[2026-06-02 22:43:15,108][512914] Fps is (10 sec: 16384.3, 60 sec: 15837.9, 300 sec: 14995.5). Total num frames: 4751360. Throughput: 0: 16179.2. Samples: 4767232. Policy #0 lag: (min: 14.0, avg: 19.2, max: 78.0) -[2026-06-02 22:43:15,109][512914] Avg episode reward: [(0, '771.250')] -[2026-06-02 22:43:16,049][513861] Updated weights for policy 0, policy_version 9312 (0.0009) -[2026-06-02 22:43:18,196][513861] Updated weights for policy 0, policy_version 9392 (0.0010) -[2026-06-02 22:43:20,108][512914] Fps is (10 sec: 15564.7, 60 sec: 15974.4, 300 sec: 15023.3). Total num frames: 4825088. Throughput: 0: 16179.2. Samples: 4818432. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 22:43:20,109][512914] Avg episode reward: [(0, '897.500')] -[2026-06-02 22:43:20,180][513861] Updated weights for policy 0, policy_version 9442 (0.0011) -[2026-06-02 22:43:20,255][513792] Saving new best policy, reward=897.500! -[2026-06-02 22:43:21,932][513861] Updated weights for policy 0, policy_version 9490 (0.0009) -[2026-06-02 22:43:24,053][513861] Updated weights for policy 0, policy_version 9568 (0.0010) -[2026-06-02 22:43:25,108][512914] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 15106.6). Total num frames: 4915200. Throughput: 0: 16258.9. Samples: 4916224. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 22:43:25,109][512914] Avg episode reward: [(0, '1059.150')] -[2026-06-02 22:43:25,113][513792] Saving new best policy, reward=1059.150! -[2026-06-02 22:43:25,786][513792] Signal inference workers to stop experience collection... (450 times) -[2026-06-02 22:43:25,831][513861] InferenceWorker_p0-w0: stopping experience collection (450 times) -[2026-06-02 22:43:25,918][513792] Signal inference workers to resume experience collection... (450 times) -[2026-06-02 22:43:25,919][513861] InferenceWorker_p0-w0: resuming experience collection (450 times) -[2026-06-02 22:43:25,965][513861] Updated weights for policy 0, policy_version 9618 (0.0010) -[2026-06-02 22:43:27,985][513861] Updated weights for policy 0, policy_version 9682 (0.0010) -[2026-06-02 22:43:29,987][513861] Updated weights for policy 0, policy_version 9744 (0.0010) -[2026-06-02 22:43:30,108][512914] Fps is (10 sec: 17203.4, 60 sec: 16111.0, 300 sec: 15162.1). Total num frames: 4997120. Throughput: 0: 16304.4. Samples: 5014528. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 22:43:30,109][512914] Avg episode reward: [(0, '1068.650')] -[2026-06-02 22:43:30,390][513792] Saving new best policy, reward=1068.650! -[2026-06-02 22:43:32,055][513861] Updated weights for policy 0, policy_version 9824 (0.0010) -[2026-06-02 22:43:34,148][513861] Updated weights for policy 0, policy_version 9890 (0.0010) -[2026-06-02 22:43:35,108][512914] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 15217.7). Total num frames: 5079040. Throughput: 0: 16281.6. Samples: 5061632. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 22:43:35,109][512914] Avg episode reward: [(0, '962.350')] -[2026-06-02 22:43:35,921][513861] Updated weights for policy 0, policy_version 9938 (0.0010) -[2026-06-02 22:43:36,309][513861] Updated weights for policy 0, policy_version 9984 (0.0009) -[2026-06-02 22:43:38,178][513861] Updated weights for policy 0, policy_version 10046 (0.0010) -[2026-06-02 22:43:40,097][513861] Updated weights for policy 0, policy_version 10102 (0.0010) -[2026-06-02 22:43:40,108][512914] Fps is (10 sec: 17203.2, 60 sec: 16247.5, 300 sec: 15273.2). Total num frames: 5169152. Throughput: 0: 16452.3. Samples: 5165056. Policy #0 lag: (min: 4.0, avg: 8.6, max: 68.0) -[2026-06-02 22:43:40,109][512914] Avg episode reward: [(0, '898.650')] -[2026-06-02 22:43:42,086][513861] Updated weights for policy 0, policy_version 10166 (0.0010) -[2026-06-02 22:43:44,038][513861] Updated weights for policy 0, policy_version 10226 (0.0010) -[2026-06-02 22:43:45,108][512914] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 15217.7). Total num frames: 5242880. Throughput: 0: 16452.3. Samples: 5263360. Policy #0 lag: (min: 31.0, avg: 36.2, max: 95.0) -[2026-06-02 22:43:45,109][512914] Avg episode reward: [(0, '1040.000')] -[2026-06-02 22:43:46,061][513861] Updated weights for policy 0, policy_version 10291 (0.0010) -[2026-06-02 22:43:48,180][513861] Updated weights for policy 0, policy_version 10363 (0.0010) -[2026-06-02 22:43:50,108][512914] Fps is (10 sec: 15564.7, 60 sec: 16384.0, 300 sec: 15273.2). Total num frames: 5324800. Throughput: 0: 16418.2. Samples: 5310464. Policy #0 lag: (min: 31.0, avg: 36.2, max: 95.0) -[2026-06-02 22:43:50,109][512914] Avg episode reward: [(0, '1147.800')] -[2026-06-02 22:43:50,256][513861] Updated weights for policy 0, policy_version 10428 (0.0010) -[2026-06-02 22:43:50,288][513792] Saving new best policy, reward=1147.800! -[2026-06-02 22:43:52,128][513861] Updated weights for policy 0, policy_version 10493 (0.0010) -[2026-06-02 22:43:54,126][513861] Updated weights for policy 0, policy_version 10553 (0.0008) -[2026-06-02 22:43:55,108][512914] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 15328.8). Total num frames: 5406720. Throughput: 0: 16463.7. Samples: 5410304. Policy #0 lag: (min: 63.0, avg: 70.3, max: 127.0) -[2026-06-02 22:43:55,109][512914] Avg episode reward: [(0, '1176.150')] -[2026-06-02 22:43:55,113][513792] Saving new best policy, reward=1176.150! -[2026-06-02 22:43:56,126][513861] Updated weights for policy 0, policy_version 10617 (0.0011) -[2026-06-02 22:43:57,858][513792] Signal inference workers to stop experience collection... (500 times) -[2026-06-02 22:43:57,885][513861] InferenceWorker_p0-w0: stopping experience collection (500 times) -[2026-06-02 22:43:57,964][513792] Signal inference workers to resume experience collection... (500 times) -[2026-06-02 22:43:57,965][513861] InferenceWorker_p0-w0: resuming experience collection (500 times) -[2026-06-02 22:43:58,032][513861] Updated weights for policy 0, policy_version 10677 (0.0008) -[2026-06-02 22:43:59,955][513861] Updated weights for policy 0, policy_version 10746 (0.0009) -[2026-06-02 22:44:00,108][512914] Fps is (10 sec: 18022.3, 60 sec: 16657.1, 300 sec: 15439.8). Total num frames: 5505024. Throughput: 0: 16497.7. Samples: 5509632. Policy #0 lag: (min: 63.0, avg: 70.3, max: 127.0) -[2026-06-02 22:44:00,109][512914] Avg episode reward: [(0, '1114.400')] -[2026-06-02 22:44:01,822][513861] Updated weights for policy 0, policy_version 10808 (0.0009) -[2026-06-02 22:44:03,786][513861] Updated weights for policy 0, policy_version 10868 (0.0008) -[2026-06-02 22:44:05,108][512914] Fps is (10 sec: 16383.9, 60 sec: 16384.0, 300 sec: 15439.8). Total num frames: 5570560. Throughput: 0: 16531.9. Samples: 5562368. Policy #0 lag: (min: 14.0, avg: 19.2, max: 78.0) -[2026-06-02 22:44:05,109][512914] Avg episode reward: [(0, '1204.250')] -[2026-06-02 22:44:05,114][513792] Saving new best policy, reward=1204.250! -[2026-06-02 22:44:05,783][513861] Updated weights for policy 0, policy_version 10936 (0.0010) -[2026-06-02 22:44:07,717][513861] Updated weights for policy 0, policy_version 11000 (0.0009) -[2026-06-02 22:44:09,705][513861] Updated weights for policy 0, policy_version 11071 (0.0007) -[2026-06-02 22:44:10,108][512914] Fps is (10 sec: 16384.2, 60 sec: 16657.1, 300 sec: 15523.1). Total num frames: 5668864. Throughput: 0: 16645.7. Samples: 5665280. Policy #0 lag: (min: 14.0, avg: 19.2, max: 78.0) -[2026-06-02 22:44:10,109][512914] Avg episode reward: [(0, '1153.800')] -[2026-06-02 22:44:11,606][513861] Updated weights for policy 0, policy_version 11130 (0.0009) -[2026-06-02 22:44:13,519][513861] Updated weights for policy 0, policy_version 11194 (0.0010) -[2026-06-02 22:44:15,108][512914] Fps is (10 sec: 17203.1, 60 sec: 16520.5, 300 sec: 15467.6). Total num frames: 5742592. Throughput: 0: 16725.3. Samples: 5767168. Policy #0 lag: (min: 13.0, avg: 18.0, max: 77.0) -[2026-06-02 22:44:15,109][512914] Avg episode reward: [(0, '1275.000')] -[2026-06-02 22:44:15,259][513792] Saving new best policy, reward=1275.000! -[2026-06-02 22:44:15,433][513861] Updated weights for policy 0, policy_version 11261 (0.0010) -[2026-06-02 22:44:17,358][513861] Updated weights for policy 0, policy_version 11324 (0.0011) -[2026-06-02 22:44:19,101][513861] Updated weights for policy 0, policy_version 11386 (0.0011) -[2026-06-02 22:44:20,108][512914] Fps is (10 sec: 16384.0, 60 sec: 16793.6, 300 sec: 15550.9). Total num frames: 5832704. Throughput: 0: 16793.6. Samples: 5817344. Policy #0 lag: (min: 13.0, avg: 18.0, max: 77.0) -[2026-06-02 22:44:20,109][512914] Avg episode reward: [(0, '1270.950')] -[2026-06-02 22:44:20,994][513861] Updated weights for policy 0, policy_version 11446 (0.0009) -[2026-06-02 22:44:22,948][513861] Updated weights for policy 0, policy_version 11510 (0.0009) -[2026-06-02 22:44:24,831][513861] Updated weights for policy 0, policy_version 11580 (0.0009) -[2026-06-02 22:44:25,108][512914] Fps is (10 sec: 18841.8, 60 sec: 16930.1, 300 sec: 15662.0). Total num frames: 5931008. Throughput: 0: 16839.1. Samples: 5922816. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 22:44:25,109][512914] Avg episode reward: [(0, '1459.000')] -[2026-06-02 22:44:25,113][513792] Saving new best policy, reward=1459.000! -[2026-06-02 22:44:26,748][513861] Updated weights for policy 0, policy_version 11641 (0.0007) -[2026-06-02 22:44:28,513][513861] Updated weights for policy 0, policy_version 11702 (0.0009) -[2026-06-02 22:44:30,069][513792] Signal inference workers to stop experience collection... (550 times) -[2026-06-02 22:44:30,097][513861] InferenceWorker_p0-w0: stopping experience collection (550 times) -[2026-06-02 22:44:30,108][512914] Fps is (10 sec: 17203.3, 60 sec: 16793.6, 300 sec: 15634.2). Total num frames: 6004736. Throughput: 0: 17021.2. Samples: 6029312. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0) -[2026-06-02 22:44:30,109][512914] Avg episode reward: [(0, '1512.450')] -[2026-06-02 22:44:30,188][513792] Signal inference workers to resume experience collection... (550 times) -[2026-06-02 22:44:30,189][513861] InferenceWorker_p0-w0: resuming experience collection (550 times) -[2026-06-02 22:44:30,307][513792] Saving new best policy, reward=1512.450! -[2026-06-02 22:44:30,386][513861] Updated weights for policy 0, policy_version 11764 (0.0009) -[2026-06-02 22:44:32,484][513861] Updated weights for policy 0, policy_version 11840 (0.0009) -[2026-06-02 22:44:34,458][513861] Updated weights for policy 0, policy_version 11904 (0.0011) -[2026-06-02 22:44:35,108][512914] Fps is (10 sec: 16383.8, 60 sec: 16930.1, 300 sec: 15662.0). Total num frames: 6094848. Throughput: 0: 16998.4. Samples: 6075392. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0) -[2026-06-02 22:44:35,109][512914] Avg episode reward: [(0, '1592.000')] -[2026-06-02 22:44:35,114][513792] Saving new best policy, reward=1592.000! -[2026-06-02 22:44:36,376][513861] Updated weights for policy 0, policy_version 11968 (0.0009) -[2026-06-02 22:44:38,263][513861] Updated weights for policy 0, policy_version 12032 (0.0010) -[2026-06-02 22:44:40,108][512914] Fps is (10 sec: 18022.1, 60 sec: 16930.1, 300 sec: 15745.3). Total num frames: 6184960. Throughput: 0: 17100.8. Samples: 6179840. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 22:44:40,109][512914] Avg episode reward: [(0, '1626.000')] -[2026-06-02 22:44:40,132][513792] Saving new best policy, reward=1626.000! -[2026-06-02 22:44:41,550][513861] Updated weights for policy 0, policy_version 12098 (0.0008) -[2026-06-02 22:44:43,353][513861] Updated weights for policy 0, policy_version 12162 (0.0010) -[2026-06-02 22:44:45,108][512914] Fps is (10 sec: 16384.1, 60 sec: 16930.1, 300 sec: 15773.1). Total num frames: 6258688. Throughput: 0: 17248.7. Samples: 6285824. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 22:44:45,109][512914] Avg episode reward: [(0, '1629.900')] -[2026-06-02 22:44:45,113][513792] Saving new best policy, reward=1629.900! -[2026-06-02 22:44:45,392][513861] Updated weights for policy 0, policy_version 12242 (0.0009) -[2026-06-02 22:44:47,316][513861] Updated weights for policy 0, policy_version 12322 (0.0010) -[2026-06-02 22:44:48,877][513861] Updated weights for policy 0, policy_version 12368 (0.0009) -[2026-06-02 22:44:50,108][512914] Fps is (10 sec: 17203.2, 60 sec: 17203.2, 300 sec: 15884.1). Total num frames: 6356992. Throughput: 0: 17271.4. Samples: 6339584. Policy #0 lag: (min: 42.0, avg: 47.5, max: 106.0) -[2026-06-02 22:44:50,109][512914] Avg episode reward: [(0, '1790.450')] -[2026-06-02 22:44:50,114][513792] Saving new best policy, reward=1790.450! -[2026-06-02 22:44:50,818][513861] Updated weights for policy 0, policy_version 12432 (0.0010) -[2026-06-02 22:44:52,657][513861] Updated weights for policy 0, policy_version 12482 (0.0009) -[2026-06-02 22:44:53,132][513861] Updated weights for policy 0, policy_version 12544 (0.0010) -[2026-06-02 22:44:54,973][513861] Updated weights for policy 0, policy_version 12608 (0.0010) -[2026-06-02 22:44:55,108][512914] Fps is (10 sec: 19660.9, 60 sec: 17476.3, 300 sec: 15939.7). Total num frames: 6455296. Throughput: 0: 17317.0. Samples: 6444544. Policy #0 lag: (min: 42.0, avg: 47.5, max: 106.0) -[2026-06-02 22:44:55,109][512914] Avg episode reward: [(0, '1953.200')] -[2026-06-02 22:44:55,113][513792] Saving new best policy, reward=1953.200! -[2026-06-02 22:44:56,816][513861] Updated weights for policy 0, policy_version 12670 (0.0010) -[2026-06-02 22:44:58,658][513861] Updated weights for policy 0, policy_version 12735 (0.0010) -[2026-06-02 22:45:00,108][512914] Fps is (10 sec: 16384.2, 60 sec: 16930.2, 300 sec: 15884.2). Total num frames: 6520832. Throughput: 0: 17430.8. Samples: 6551552. Policy #0 lag: (min: 63.0, avg: 68.2, max: 127.0) -[2026-06-02 22:45:00,109][512914] Avg episode reward: [(0, '1988.600')] -[2026-06-02 22:45:00,292][513792] Saving new best policy, reward=1988.600! -[2026-06-02 22:45:01,881][513792] Signal inference workers to stop experience collection... (600 times) -[2026-06-02 22:45:01,907][513861] InferenceWorker_p0-w0: stopping experience collection (600 times) -[2026-06-02 22:45:01,922][513861] Updated weights for policy 0, policy_version 12802 (0.0010) -[2026-06-02 22:45:02,010][513792] Signal inference workers to resume experience collection... (600 times) -[2026-06-02 22:45:02,011][513861] InferenceWorker_p0-w0: resuming experience collection (600 times) -[2026-06-02 22:45:03,856][513861] Updated weights for policy 0, policy_version 12880 (0.0012) -[2026-06-02 22:45:05,108][512914] Fps is (10 sec: 16384.0, 60 sec: 17476.3, 300 sec: 15995.2). Total num frames: 6619136. Throughput: 0: 17476.3. Samples: 6603776. Policy #0 lag: (min: 63.0, avg: 68.2, max: 127.0) -[2026-06-02 22:45:05,109][512914] Avg episode reward: [(0, '2025.100')] -[2026-06-02 22:45:05,113][513792] Saving new best policy, reward=2025.100! -[2026-06-02 22:45:05,616][513861] Updated weights for policy 0, policy_version 12946 (0.0010) -[2026-06-02 22:45:07,390][513861] Updated weights for policy 0, policy_version 12994 (0.0010) -[2026-06-02 22:45:09,380][513861] Updated weights for policy 0, policy_version 13072 (0.0010) -[2026-06-02 22:45:10,108][512914] Fps is (10 sec: 19660.8, 60 sec: 17476.3, 300 sec: 16106.3). Total num frames: 6717440. Throughput: 0: 17555.9. Samples: 6712832. Policy #0 lag: (min: 15.0, avg: 20.5, max: 79.0) -[2026-06-02 22:45:10,109][512914] Avg episode reward: [(0, '2111.550')] -[2026-06-02 22:45:10,113][513792] Saving new best policy, reward=2111.550! -[2026-06-02 22:45:11,374][513861] Updated weights for policy 0, policy_version 13138 (0.0010) -[2026-06-02 22:45:13,458][513861] Updated weights for policy 0, policy_version 13216 (0.0010) -[2026-06-02 22:45:15,108][512914] Fps is (10 sec: 16384.1, 60 sec: 17339.8, 300 sec: 16106.3). Total num frames: 6782976. Throughput: 0: 17442.1. Samples: 6814208. Policy #0 lag: (min: 15.0, avg: 20.5, max: 79.0) -[2026-06-02 22:45:15,109][512914] Avg episode reward: [(0, '2172.450')] -[2026-06-02 22:45:15,192][513861] Updated weights for policy 0, policy_version 13266 (0.0009) -[2026-06-02 22:45:15,263][513792] Saving new best policy, reward=2172.450! -[2026-06-02 22:45:17,154][513861] Updated weights for policy 0, policy_version 13344 (0.0010) -[2026-06-02 22:45:19,102][513861] Updated weights for policy 0, policy_version 13408 (0.0010) -[2026-06-02 22:45:20,108][512914] Fps is (10 sec: 16384.0, 60 sec: 17476.3, 300 sec: 16106.3). Total num frames: 6881280. Throughput: 0: 17499.1. Samples: 6862848. Policy #0 lag: (min: 52.0, avg: 56.6, max: 116.0) -[2026-06-02 22:45:20,109][512914] Avg episode reward: [(0, '2176.700')] -[2026-06-02 22:45:20,112][513792] Saving new best policy, reward=2176.700! -[2026-06-02 22:45:21,006][513861] Updated weights for policy 0, policy_version 13458 (0.0010) -[2026-06-02 22:45:22,868][513861] Updated weights for policy 0, policy_version 13520 (0.0010) -[2026-06-02 22:45:24,736][513861] Updated weights for policy 0, policy_version 13571 (0.0009) -[2026-06-02 22:45:25,108][512914] Fps is (10 sec: 18841.5, 60 sec: 17339.7, 300 sec: 16189.6). Total num frames: 6971392. Throughput: 0: 17476.3. Samples: 6966272. Policy #0 lag: (min: 52.0, avg: 56.6, max: 116.0) -[2026-06-02 22:45:25,109][512914] Avg episode reward: [(0, '2207.950')] -[2026-06-02 22:45:25,193][513792] Saving new best policy, reward=2207.950! -[2026-06-02 22:45:26,634][513861] Updated weights for policy 0, policy_version 13648 (0.0010) -[2026-06-02 22:45:27,023][513861] Updated weights for policy 0, policy_version 13696 (0.0010) -[2026-06-02 22:45:28,629][513861] Updated weights for policy 0, policy_version 13756 (0.0009) -[2026-06-02 22:45:30,108][512914] Fps is (10 sec: 16384.0, 60 sec: 17339.7, 300 sec: 16217.4). Total num frames: 7045120. Throughput: 0: 17567.3. Samples: 7076352. Policy #0 lag: (min: 52.0, avg: 56.6, max: 116.0) -[2026-06-02 22:45:30,109][512914] Avg episode reward: [(0, '2295.050')] -[2026-06-02 22:45:30,272][513792] Saving new best policy, reward=2295.050! -[2026-06-02 22:45:30,551][513861] Updated weights for policy 0, policy_version 13823 (0.0010) -[2026-06-02 22:45:31,949][513792] Signal inference workers to stop experience collection... (650 times) -[2026-06-02 22:45:31,978][513861] InferenceWorker_p0-w0: stopping experience collection (650 times) -[2026-06-02 22:45:32,066][513792] Signal inference workers to resume experience collection... (650 times) -[2026-06-02 22:45:32,066][513861] InferenceWorker_p0-w0: resuming experience collection (650 times) -[2026-06-02 22:45:32,150][513861] Updated weights for policy 0, policy_version 13878 (0.0009) -[2026-06-02 22:45:33,931][513861] Updated weights for policy 0, policy_version 13945 (0.0009) -[2026-06-02 22:45:35,108][512914] Fps is (10 sec: 17203.2, 60 sec: 17476.3, 300 sec: 16300.7). Total num frames: 7143424. Throughput: 0: 17612.9. Samples: 7132160. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 22:45:35,109][512914] Avg episode reward: [(0, '2331.700')] -[2026-06-02 22:45:35,113][513792] Saving new best policy, reward=2331.700! -[2026-06-02 22:45:35,858][513861] Updated weights for policy 0, policy_version 14006 (0.0005) -[2026-06-02 22:45:37,455][513861] Updated weights for policy 0, policy_version 14067 (0.0007) -[2026-06-02 22:45:39,239][513861] Updated weights for policy 0, policy_version 14134 (0.0009) -[2026-06-02 22:45:40,108][512914] Fps is (10 sec: 19660.8, 60 sec: 17612.8, 300 sec: 16328.5). Total num frames: 7241728. Throughput: 0: 17738.0. Samples: 7242752. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 22:45:40,109][512914] Avg episode reward: [(0, '2337.000')] -[2026-06-02 22:45:40,113][513792] Saving new best policy, reward=2337.000! -[2026-06-02 22:45:41,009][513861] Updated weights for policy 0, policy_version 14195 (0.0009) -[2026-06-02 22:45:42,839][513861] Updated weights for policy 0, policy_version 14256 (0.0009) -[2026-06-02 22:45:44,616][513861] Updated weights for policy 0, policy_version 14322 (0.0009) -[2026-06-02 22:45:45,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18022.4, 300 sec: 16439.5). Total num frames: 7340032. Throughput: 0: 17703.8. Samples: 7348224. Policy #0 lag: (min: 7.0, avg: 12.9, max: 71.0) -[2026-06-02 22:45:45,109][512914] Avg episode reward: [(0, '2477.250')] -[2026-06-02 22:45:45,113][513792] Saving new best policy, reward=2477.250! -[2026-06-02 22:45:46,558][513861] Updated weights for policy 0, policy_version 14386 (0.0009) -[2026-06-02 22:45:48,453][513861] Updated weights for policy 0, policy_version 14450 (0.0010) -[2026-06-02 22:45:50,108][512914] Fps is (10 sec: 17203.3, 60 sec: 17612.9, 300 sec: 16467.3). Total num frames: 7413760. Throughput: 0: 17783.5. Samples: 7404032. Policy #0 lag: (min: 7.0, avg: 12.9, max: 71.0) -[2026-06-02 22:45:50,109][512914] Avg episode reward: [(0, '2545.200')] -[2026-06-02 22:45:50,225][513792] Saving new best policy, reward=2545.200! -[2026-06-02 22:45:50,323][513861] Updated weights for policy 0, policy_version 14518 (0.0010) -[2026-06-02 22:45:51,987][513861] Updated weights for policy 0, policy_version 14576 (0.0009) -[2026-06-02 22:45:53,987][513861] Updated weights for policy 0, policy_version 14644 (0.0009) -[2026-06-02 22:45:55,108][512914] Fps is (10 sec: 16384.0, 60 sec: 17476.3, 300 sec: 16439.5). Total num frames: 7503872. Throughput: 0: 17635.6. Samples: 7506432. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 22:45:55,109][512914] Avg episode reward: [(0, '2709.450')] -[2026-06-02 22:45:55,112][513792] Saving new best policy, reward=2709.450! -[2026-06-02 22:45:55,795][513861] Updated weights for policy 0, policy_version 14706 (0.0009) -[2026-06-02 22:45:57,693][513861] Updated weights for policy 0, policy_version 14776 (0.0009) -[2026-06-02 22:45:59,497][513861] Updated weights for policy 0, policy_version 14834 (0.0010) -[2026-06-02 22:46:00,108][512914] Fps is (10 sec: 18841.7, 60 sec: 18022.4, 300 sec: 16550.6). Total num frames: 7602176. Throughput: 0: 17772.1. Samples: 7613952. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 22:46:00,108][512914] Avg episode reward: [(0, '2809.100')] -[2026-06-02 22:46:00,111][513792] Saving new best policy, reward=2809.100! -[2026-06-02 22:46:01,417][513861] Updated weights for policy 0, policy_version 14900 (0.0009) -[2026-06-02 22:46:02,933][513792] Signal inference workers to stop experience collection... (700 times) -[2026-06-02 22:46:02,962][513861] InferenceWorker_p0-w0: stopping experience collection (700 times) -[2026-06-02 22:46:03,036][513792] Signal inference workers to resume experience collection... (700 times) -[2026-06-02 22:46:03,036][513861] InferenceWorker_p0-w0: resuming experience collection (700 times) -[2026-06-02 22:46:03,243][513861] Updated weights for policy 0, policy_version 14969 (0.0009) -[2026-06-02 22:46:04,970][513861] Updated weights for policy 0, policy_version 15030 (0.0010) -[2026-06-02 22:46:05,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18022.4, 300 sec: 16661.7). Total num frames: 7700480. Throughput: 0: 17897.3. Samples: 7668224. Policy #0 lag: (min: 2.0, avg: 7.3, max: 66.0) -[2026-06-02 22:46:05,109][512914] Avg episode reward: [(0, '2769.200')] -[2026-06-02 22:46:06,833][513861] Updated weights for policy 0, policy_version 15090 (0.0008) -[2026-06-02 22:46:08,692][513861] Updated weights for policy 0, policy_version 15152 (0.0008) -[2026-06-02 22:46:10,108][512914] Fps is (10 sec: 16383.8, 60 sec: 17476.3, 300 sec: 16578.4). Total num frames: 7766016. Throughput: 0: 17920.0. Samples: 7772672. Policy #0 lag: (min: 2.0, avg: 7.3, max: 66.0) -[2026-06-02 22:46:10,109][512914] Avg episode reward: [(0, '2778.650')] -[2026-06-02 22:46:10,504][513861] Updated weights for policy 0, policy_version 15216 (0.0010) -[2026-06-02 22:46:12,344][513861] Updated weights for policy 0, policy_version 15266 (0.0009) -[2026-06-02 22:46:14,097][513861] Updated weights for policy 0, policy_version 15314 (0.0009) -[2026-06-02 22:46:15,108][512914] Fps is (10 sec: 16383.9, 60 sec: 18022.4, 300 sec: 16661.7). Total num frames: 7864320. Throughput: 0: 17863.1. Samples: 7880192. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 22:46:15,109][512914] Avg episode reward: [(0, '2978.300')] -[2026-06-02 22:46:15,113][513792] Saving new best policy, reward=2978.300! -[2026-06-02 22:46:15,910][513861] Updated weights for policy 0, policy_version 15376 (0.0010) -[2026-06-02 22:46:16,308][513861] Updated weights for policy 0, policy_version 15424 (0.0009) -[2026-06-02 22:46:18,171][513861] Updated weights for policy 0, policy_version 15485 (0.0008) -[2026-06-02 22:46:19,978][513861] Updated weights for policy 0, policy_version 15546 (0.0009) -[2026-06-02 22:46:20,108][512914] Fps is (10 sec: 19660.9, 60 sec: 18022.4, 300 sec: 16772.8). Total num frames: 7962624. Throughput: 0: 17772.1. Samples: 7931904. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 22:46:20,109][512914] Avg episode reward: [(0, '2926.450')] -[2026-06-02 22:46:21,772][513861] Updated weights for policy 0, policy_version 15608 (0.0009) -[2026-06-02 22:46:23,582][513861] Updated weights for policy 0, policy_version 15680 (0.0009) -[2026-06-02 22:46:25,108][512914] Fps is (10 sec: 17203.4, 60 sec: 17749.4, 300 sec: 16717.2). Total num frames: 8036352. Throughput: 0: 17726.6. Samples: 8040448. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 22:46:25,108][512914] Avg episode reward: [(0, '2869.900')] -[2026-06-02 22:46:25,466][513861] Updated weights for policy 0, policy_version 15743 (0.0009) -[2026-06-02 22:46:27,288][513861] Updated weights for policy 0, policy_version 15808 (0.0010) -[2026-06-02 22:46:30,108][512914] Fps is (10 sec: 16383.9, 60 sec: 18022.4, 300 sec: 16772.8). Total num frames: 8126464. Throughput: 0: 17806.2. Samples: 8149504. Policy #0 lag: (min: 47.0, avg: 50.6, max: 111.0) -[2026-06-02 22:46:30,109][512914] Avg episode reward: [(0, '2962.900')] -[2026-06-02 22:46:30,400][513861] Updated weights for policy 0, policy_version 15874 (0.0009) -[2026-06-02 22:46:30,885][513861] Updated weights for policy 0, policy_version 15936 (0.0010) -[2026-06-02 22:46:34,061][513792] Signal inference workers to stop experience collection... (750 times) -[2026-06-02 22:46:34,086][513861] InferenceWorker_p0-w0: stopping experience collection (750 times) -[2026-06-02 22:46:34,194][513792] Signal inference workers to resume experience collection... (750 times) -[2026-06-02 22:46:34,195][513861] InferenceWorker_p0-w0: resuming experience collection (750 times) -[2026-06-02 22:46:34,197][513861] Updated weights for policy 0, policy_version 16016 (0.0010) -[2026-06-02 22:46:35,108][512914] Fps is (10 sec: 18841.4, 60 sec: 18022.4, 300 sec: 16883.8). Total num frames: 8224768. Throughput: 0: 17715.2. Samples: 8201216. Policy #0 lag: (min: 47.0, avg: 50.6, max: 111.0) -[2026-06-02 22:46:35,109][512914] Avg episode reward: [(0, '2919.550')] -[2026-06-02 22:46:36,155][513861] Updated weights for policy 0, policy_version 16096 (0.0010) -[2026-06-02 22:46:37,935][513861] Updated weights for policy 0, policy_version 16146 (0.0007) -[2026-06-02 22:46:39,691][513861] Updated weights for policy 0, policy_version 16194 (0.0006) -[2026-06-02 22:46:40,108][512914] Fps is (10 sec: 19661.0, 60 sec: 18022.4, 300 sec: 16939.4). Total num frames: 8323072. Throughput: 0: 17840.4. Samples: 8309248. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0) -[2026-06-02 22:46:40,108][512914] Avg episode reward: [(0, '3164.950')] -[2026-06-02 22:46:40,111][513792] Saving new best policy, reward=3164.950! -[2026-06-02 22:46:41,550][513861] Updated weights for policy 0, policy_version 16272 (0.0010) -[2026-06-02 22:46:43,265][513861] Updated weights for policy 0, policy_version 16336 (0.0010) -[2026-06-02 22:46:45,108][512914] Fps is (10 sec: 16384.0, 60 sec: 17476.3, 300 sec: 16883.9). Total num frames: 8388608. Throughput: 0: 17908.6. Samples: 8419840. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0) -[2026-06-02 22:46:45,108][512914] Avg episode reward: [(0, '3170.000')] -[2026-06-02 22:46:45,184][513861] Updated weights for policy 0, policy_version 16400 (0.0010) -[2026-06-02 22:46:45,288][513792] Saving new best policy, reward=3170.000! -[2026-06-02 22:46:47,026][513861] Updated weights for policy 0, policy_version 16466 (0.0010) -[2026-06-02 22:46:48,940][513861] Updated weights for policy 0, policy_version 16546 (0.0010) -[2026-06-02 22:46:50,108][512914] Fps is (10 sec: 16383.9, 60 sec: 17885.9, 300 sec: 16994.9). Total num frames: 8486912. Throughput: 0: 17863.1. Samples: 8472064. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0) -[2026-06-02 22:46:50,109][512914] Avg episode reward: [(0, '3257.800')] -[2026-06-02 22:46:50,112][513792] Saving new best policy, reward=3257.800! -[2026-06-02 22:46:50,565][513861] Updated weights for policy 0, policy_version 16594 (0.0010) -[2026-06-02 22:46:52,327][513861] Updated weights for policy 0, policy_version 16656 (0.0010) -[2026-06-02 22:46:54,129][513861] Updated weights for policy 0, policy_version 16705 (0.0010) -[2026-06-02 22:46:54,581][513861] Updated weights for policy 0, policy_version 16766 (0.0010) -[2026-06-02 22:46:55,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18022.4, 300 sec: 17022.7). Total num frames: 8585216. Throughput: 0: 17999.7. Samples: 8582656. Policy #0 lag: (min: 15.0, avg: 19.7, max: 79.0) -[2026-06-02 22:46:55,109][512914] Avg episode reward: [(0, '3267.700')] -[2026-06-02 22:46:55,112][513792] Saving new best policy, reward=3267.700! -[2026-06-02 22:46:56,322][513861] Updated weights for policy 0, policy_version 16830 (0.0010) -[2026-06-02 22:46:58,138][513861] Updated weights for policy 0, policy_version 16890 (0.0010) -[2026-06-02 22:46:59,783][513861] Updated weights for policy 0, policy_version 16952 (0.0009) -[2026-06-02 22:47:00,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18022.4, 300 sec: 17106.0). Total num frames: 8683520. Throughput: 0: 18022.4. Samples: 8691200. Policy #0 lag: (min: 15.0, avg: 19.7, max: 79.0) -[2026-06-02 22:47:00,109][512914] Avg episode reward: [(0, '3263.100')] -[2026-06-02 22:47:01,483][513861] Updated weights for policy 0, policy_version 17008 (0.0009) -[2026-06-02 22:47:03,144][513792] Signal inference workers to stop experience collection... (800 times) -[2026-06-02 22:47:03,174][513861] InferenceWorker_p0-w0: stopping experience collection (800 times) -[2026-06-02 22:47:03,250][513792] Signal inference workers to resume experience collection... (800 times) -[2026-06-02 22:47:03,250][513861] InferenceWorker_p0-w0: resuming experience collection (800 times) -[2026-06-02 22:47:03,252][513861] Updated weights for policy 0, policy_version 17072 (0.0008) -[2026-06-02 22:47:05,016][513861] Updated weights for policy 0, policy_version 17136 (0.0010) -[2026-06-02 22:47:05,108][512914] Fps is (10 sec: 18841.6, 60 sec: 17885.9, 300 sec: 17189.3). Total num frames: 8773632. Throughput: 0: 18181.7. Samples: 8750080. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 22:47:05,109][512914] Avg episode reward: [(0, '3283.550')] -[2026-06-02 22:47:05,175][513792] Saving new best policy, reward=3283.550! -[2026-06-02 22:47:06,809][513861] Updated weights for policy 0, policy_version 17200 (0.0009) -[2026-06-02 22:47:08,490][513861] Updated weights for policy 0, policy_version 17250 (0.0009) -[2026-06-02 22:47:10,108][512914] Fps is (10 sec: 16384.0, 60 sec: 18022.4, 300 sec: 17106.0). Total num frames: 8847360. Throughput: 0: 18136.2. Samples: 8856576. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 22:47:10,109][512914] Avg episode reward: [(0, '3415.050')] -[2026-06-02 22:47:10,347][513792] Saving new best policy, reward=3415.050! -[2026-06-02 22:47:10,459][513861] Updated weights for policy 0, policy_version 17328 (0.0010) -[2026-06-02 22:47:12,470][513861] Updated weights for policy 0, policy_version 17394 (0.0010) -[2026-06-02 22:47:14,302][513861] Updated weights for policy 0, policy_version 17458 (0.0009) -[2026-06-02 22:47:15,108][512914] Fps is (10 sec: 17203.2, 60 sec: 18022.4, 300 sec: 17217.1). Total num frames: 8945664. Throughput: 0: 18102.1. Samples: 8964096. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 22:47:15,109][512914] Avg episode reward: [(0, '3634.650')] -[2026-06-02 22:47:15,113][513792] Saving new best policy, reward=3634.650! -[2026-06-02 22:47:15,879][513861] Updated weights for policy 0, policy_version 17507 (0.0007) -[2026-06-02 22:47:17,645][513861] Updated weights for policy 0, policy_version 17568 (0.0008) -[2026-06-02 22:47:19,466][513861] Updated weights for policy 0, policy_version 17632 (0.0011) -[2026-06-02 22:47:20,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18022.4, 300 sec: 17328.2). Total num frames: 9043968. Throughput: 0: 18147.6. Samples: 9017856. Policy #0 lag: (min: 15.0, avg: 21.4, max: 79.0) -[2026-06-02 22:47:20,109][512914] Avg episode reward: [(0, '3720.550')] -[2026-06-02 22:47:20,113][513792] Saving new best policy, reward=3720.550! -[2026-06-02 22:47:21,242][513861] Updated weights for policy 0, policy_version 17680 (0.0009) -[2026-06-02 22:47:23,091][513861] Updated weights for policy 0, policy_version 17744 (0.0009) -[2026-06-02 22:47:24,756][513861] Updated weights for policy 0, policy_version 17793 (0.0012) -[2026-06-02 22:47:25,108][512914] Fps is (10 sec: 18841.7, 60 sec: 18295.5, 300 sec: 17300.4). Total num frames: 9134080. Throughput: 0: 18124.8. Samples: 9124864. Policy #0 lag: (min: 15.0, avg: 21.4, max: 79.0) -[2026-06-02 22:47:25,108][512914] Avg episode reward: [(0, '3651.000')] -[2026-06-02 22:47:26,749][513861] Updated weights for policy 0, policy_version 17874 (0.0012) -[2026-06-02 22:47:28,523][513861] Updated weights for policy 0, policy_version 17952 (0.0010) -[2026-06-02 22:47:30,108][512914] Fps is (10 sec: 16384.0, 60 sec: 18022.4, 300 sec: 17328.2). Total num frames: 9207808. Throughput: 0: 18193.1. Samples: 9238528. Policy #0 lag: (min: 8.0, avg: 13.2, max: 72.0) -[2026-06-02 22:47:30,109][512914] Avg episode reward: [(0, '3476.350')] -[2026-06-02 22:47:30,195][513861] Updated weights for policy 0, policy_version 18002 (0.0009) -[2026-06-02 22:47:31,968][513861] Updated weights for policy 0, policy_version 18064 (0.0009) -[2026-06-02 22:47:33,827][513792] Signal inference workers to stop experience collection... (850 times) -[2026-06-02 22:47:33,828][513861] Updated weights for policy 0, policy_version 18128 (0.0009) -[2026-06-02 22:47:33,856][513861] InferenceWorker_p0-w0: stopping experience collection (850 times) -[2026-06-02 22:47:33,930][513792] Signal inference workers to resume experience collection... (850 times) -[2026-06-02 22:47:33,931][513861] InferenceWorker_p0-w0: resuming experience collection (850 times) -[2026-06-02 22:47:35,108][512914] Fps is (10 sec: 17203.1, 60 sec: 18022.4, 300 sec: 17328.2). Total num frames: 9306112. Throughput: 0: 18204.4. Samples: 9291264. Policy #0 lag: (min: 8.0, avg: 13.2, max: 72.0) -[2026-06-02 22:47:35,109][512914] Avg episode reward: [(0, '3462.800')] -[2026-06-02 22:47:35,621][513861] Updated weights for policy 0, policy_version 18192 (0.0010) -[2026-06-02 22:47:37,711][513861] Updated weights for policy 0, policy_version 18288 (0.0010) -[2026-06-02 22:47:39,494][513861] Updated weights for policy 0, policy_version 18338 (0.0009) -[2026-06-02 22:47:40,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18022.4, 300 sec: 17439.2). Total num frames: 9404416. Throughput: 0: 18158.9. Samples: 9399808. Policy #0 lag: (min: 8.0, avg: 13.2, max: 72.0) -[2026-06-02 22:47:40,109][512914] Avg episode reward: [(0, '3600.050')] -[2026-06-02 22:47:41,453][513861] Updated weights for policy 0, policy_version 18402 (0.0010) -[2026-06-02 22:47:43,306][513861] Updated weights for policy 0, policy_version 18464 (0.0011) -[2026-06-02 22:47:45,108][512914] Fps is (10 sec: 17203.2, 60 sec: 18158.9, 300 sec: 17411.5). Total num frames: 9478144. Throughput: 0: 18045.2. Samples: 9503232. Policy #0 lag: (min: 10.0, avg: 17.1, max: 74.0) -[2026-06-02 22:47:45,109][512914] Avg episode reward: [(0, '3677.400')] -[2026-06-02 22:47:45,327][513861] Updated weights for policy 0, policy_version 18546 (0.0010) -[2026-06-02 22:47:47,164][513861] Updated weights for policy 0, policy_version 18610 (0.0010) -[2026-06-02 22:47:49,029][513861] Updated weights for policy 0, policy_version 18672 (0.0010) -[2026-06-02 22:47:50,108][512914] Fps is (10 sec: 16383.9, 60 sec: 18022.4, 300 sec: 17439.2). Total num frames: 9568256. Throughput: 0: 17863.1. Samples: 9553920. Policy #0 lag: (min: 10.0, avg: 17.1, max: 74.0) -[2026-06-02 22:47:50,109][512914] Avg episode reward: [(0, '3745.650')] -[2026-06-02 22:47:50,113][513792] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride4_seed13/checkpoint_p0/checkpoint_000018688_9568256.pth... -[2026-06-02 22:47:50,155][513792] Saving new best policy, reward=3745.650! -[2026-06-02 22:47:50,811][513861] Updated weights for policy 0, policy_version 18722 (0.0010) -[2026-06-02 22:47:52,686][513861] Updated weights for policy 0, policy_version 18787 (0.0008) -[2026-06-02 22:47:54,499][513861] Updated weights for policy 0, policy_version 18848 (0.0008) -[2026-06-02 22:47:55,108][512914] Fps is (10 sec: 18841.5, 60 sec: 18022.4, 300 sec: 17494.8). Total num frames: 9666560. Throughput: 0: 17828.9. Samples: 9658880. Policy #0 lag: (min: 6.0, avg: 11.1, max: 70.0) -[2026-06-02 22:47:55,109][512914] Avg episode reward: [(0, '3803.800')] -[2026-06-02 22:47:55,113][513792] Saving new best policy, reward=3803.800! -[2026-06-02 22:47:56,151][513861] Updated weights for policy 0, policy_version 18898 (0.0008) -[2026-06-02 22:47:58,180][513861] Updated weights for policy 0, policy_version 18978 (0.0009) -[2026-06-02 22:47:59,938][513861] Updated weights for policy 0, policy_version 19042 (0.0009) -[2026-06-02 22:48:00,108][512914] Fps is (10 sec: 18841.7, 60 sec: 17885.9, 300 sec: 17522.6). Total num frames: 9756672. Throughput: 0: 17863.1. Samples: 9767936. Policy #0 lag: (min: 6.0, avg: 11.1, max: 70.0) -[2026-06-02 22:48:00,109][512914] Avg episode reward: [(0, '3730.500')] -[2026-06-02 22:48:01,650][513861] Updated weights for policy 0, policy_version 19104 (0.0009) -[2026-06-02 22:48:03,546][513861] Updated weights for policy 0, policy_version 19170 (0.0010) -[2026-06-02 22:48:05,095][513792] Signal inference workers to stop experience collection... (900 times) -[2026-06-02 22:48:05,108][512914] Fps is (10 sec: 16384.0, 60 sec: 17612.8, 300 sec: 17494.8). Total num frames: 9830400. Throughput: 0: 17920.0. Samples: 9824256. Policy #0 lag: (min: 6.0, avg: 11.1, max: 70.0) -[2026-06-02 22:48:05,109][512914] Avg episode reward: [(0, '3926.950')] -[2026-06-02 22:48:05,137][513861] InferenceWorker_p0-w0: stopping experience collection (900 times) -[2026-06-02 22:48:05,223][513792] Signal inference workers to resume experience collection... (900 times) -[2026-06-02 22:48:05,224][513861] InferenceWorker_p0-w0: resuming experience collection (900 times) -[2026-06-02 22:48:05,325][513792] Saving new best policy, reward=3926.950! -[2026-06-02 22:48:05,435][513861] Updated weights for policy 0, policy_version 19248 (0.0010) -[2026-06-02 22:48:07,131][513861] Updated weights for policy 0, policy_version 19312 (0.0010) -[2026-06-02 22:48:08,961][513861] Updated weights for policy 0, policy_version 19376 (0.0009) -[2026-06-02 22:48:10,108][512914] Fps is (10 sec: 17203.2, 60 sec: 18022.4, 300 sec: 17550.3). Total num frames: 9928704. Throughput: 0: 17931.4. Samples: 9931776. Policy #0 lag: (min: 10.0, avg: 15.9, max: 74.0) -[2026-06-02 22:48:10,109][512914] Avg episode reward: [(0, '3932.700')] -[2026-06-02 22:48:10,113][513792] Saving new best policy, reward=3932.700! -[2026-06-02 22:48:10,845][513861] Updated weights for policy 0, policy_version 19440 (0.0009) -[2026-06-02 22:48:12,563][513861] Updated weights for policy 0, policy_version 19504 (0.0010) -[2026-06-02 22:48:14,266][513861] Updated weights for policy 0, policy_version 19554 (0.0009) -[2026-06-02 22:48:15,108][512914] Fps is (10 sec: 19661.0, 60 sec: 18022.4, 300 sec: 17633.6). Total num frames: 10027008. Throughput: 0: 17863.1. Samples: 10042368. Policy #0 lag: (min: 10.0, avg: 15.9, max: 74.0) -[2026-06-02 22:48:15,108][512914] Avg episode reward: [(0, '4116.650')] -[2026-06-02 22:48:15,111][513792] Saving new best policy, reward=4116.650! -[2026-06-02 22:48:16,280][513861] Updated weights for policy 0, policy_version 19637 (0.0011) -[2026-06-02 22:48:18,168][513861] Updated weights for policy 0, policy_version 19712 (0.0009) -[2026-06-02 22:48:20,108][512914] Fps is (10 sec: 19660.9, 60 sec: 18022.4, 300 sec: 17661.4). Total num frames: 10125312. Throughput: 0: 17851.7. Samples: 10094592. Policy #0 lag: (min: 10.0, avg: 15.9, max: 74.0) -[2026-06-02 22:48:20,109][512914] Avg episode reward: [(0, '4167.850')] -[2026-06-02 22:48:20,113][513792] Saving new best policy, reward=4167.850! -[2026-06-02 22:48:21,437][513861] Updated weights for policy 0, policy_version 19792 (0.0010) -[2026-06-02 22:48:23,129][513861] Updated weights for policy 0, policy_version 19841 (0.0009) -[2026-06-02 22:48:23,623][513861] Updated weights for policy 0, policy_version 19904 (0.0005) -[2026-06-02 22:48:25,108][512914] Fps is (10 sec: 18022.3, 60 sec: 17885.9, 300 sec: 17661.4). Total num frames: 10207232. Throughput: 0: 17851.7. Samples: 10203136. Policy #0 lag: (min: 13.0, avg: 19.0, max: 77.0) -[2026-06-02 22:48:25,109][512914] Avg episode reward: [(0, '4214.750')] -[2026-06-02 22:48:25,351][513792] Saving new best policy, reward=4214.750! -[2026-06-02 22:48:26,834][513861] Updated weights for policy 0, policy_version 20000 (0.0006) -[2026-06-02 22:48:28,537][513861] Updated weights for policy 0, policy_version 20064 (0.0006) -[2026-06-02 22:48:30,108][512914] Fps is (10 sec: 16383.9, 60 sec: 18022.4, 300 sec: 17661.4). Total num frames: 10289152. Throughput: 0: 18113.4. Samples: 10318336. Policy #0 lag: (min: 13.0, avg: 19.0, max: 77.0) -[2026-06-02 22:48:30,109][512914] Avg episode reward: [(0, '4010.100')] -[2026-06-02 22:48:30,452][513861] Updated weights for policy 0, policy_version 20146 (0.0010) -[2026-06-02 22:48:32,180][513861] Updated weights for policy 0, policy_version 20208 (0.0010) -[2026-06-02 22:48:33,936][513792] Signal inference workers to stop experience collection... (950 times) -[2026-06-02 22:48:33,968][513861] InferenceWorker_p0-w0: stopping experience collection (950 times) -[2026-06-02 22:48:34,054][513792] Signal inference workers to resume experience collection... (950 times) -[2026-06-02 22:48:34,054][513861] InferenceWorker_p0-w0: resuming experience collection (950 times) -[2026-06-02 22:48:34,056][513861] Updated weights for policy 0, policy_version 20272 (0.0010) -[2026-06-02 22:48:35,108][512914] Fps is (10 sec: 18022.4, 60 sec: 18022.4, 300 sec: 17689.2). Total num frames: 10387456. Throughput: 0: 18193.1. Samples: 10372608. Policy #0 lag: (min: 13.0, avg: 19.0, max: 77.0) -[2026-06-02 22:48:35,109][512914] Avg episode reward: [(0, '4208.200')] -[2026-06-02 22:48:35,846][513861] Updated weights for policy 0, policy_version 20322 (0.0008) -[2026-06-02 22:48:37,731][513861] Updated weights for policy 0, policy_version 20386 (0.0010) -[2026-06-02 22:48:39,433][513861] Updated weights for policy 0, policy_version 20448 (0.0011) -[2026-06-02 22:48:40,108][512914] Fps is (10 sec: 19660.9, 60 sec: 18022.4, 300 sec: 17772.5). Total num frames: 10485760. Throughput: 0: 18261.4. Samples: 10480640. Policy #0 lag: (min: 11.0, avg: 15.7, max: 75.0) -[2026-06-02 22:48:40,109][512914] Avg episode reward: [(0, '4068.550')] -[2026-06-02 22:48:41,121][513861] Updated weights for policy 0, policy_version 20514 (0.0008) -[2026-06-02 22:48:42,659][513861] Updated weights for policy 0, policy_version 20562 (0.0009) -[2026-06-02 22:48:44,346][513861] Updated weights for policy 0, policy_version 20612 (0.0009) -[2026-06-02 22:48:44,830][513861] Updated weights for policy 0, policy_version 20672 (0.0009) -[2026-06-02 22:48:45,108][512914] Fps is (10 sec: 19660.7, 60 sec: 18432.0, 300 sec: 17828.0). Total num frames: 10584064. Throughput: 0: 18329.6. Samples: 10592768. Policy #0 lag: (min: 11.0, avg: 15.7, max: 75.0) -[2026-06-02 22:48:45,109][512914] Avg episode reward: [(0, '4022.700')] -[2026-06-02 22:48:46,629][513861] Updated weights for policy 0, policy_version 20736 (0.0009) -[2026-06-02 22:48:48,549][513861] Updated weights for policy 0, policy_version 20798 (0.0005) -[2026-06-02 22:48:50,108][512914] Fps is (10 sec: 18841.6, 60 sec: 18432.0, 300 sec: 17855.8). Total num frames: 10674176. Throughput: 0: 18306.9. Samples: 10648064. Policy #0 lag: (min: 11.0, avg: 15.7, max: 75.0) -[2026-06-02 22:48:50,109][512914] Avg episode reward: [(0, '4173.850')] -[2026-06-02 22:48:50,190][513861] Updated weights for policy 0, policy_version 20857 (0.0005) -[2026-06-02 22:48:51,872][513861] Updated weights for policy 0, policy_version 20918 (0.0005) -[2026-06-02 22:48:53,657][513861] Updated weights for policy 0, policy_version 20982 (0.0005) -[2026-06-02 22:48:55,108][512914] Fps is (10 sec: 16383.9, 60 sec: 18022.4, 300 sec: 17772.5). Total num frames: 10747904. Throughput: 0: 18352.3. Samples: 10757632. Policy #0 lag: (min: 43.0, avg: 48.2, max: 107.0) -[2026-06-02 22:48:55,109][512914] Avg episode reward: [(0, '4136.400')] -[2026-06-02 22:48:55,496][513861] Updated weights for policy 0, policy_version 21044 (0.0005) -[2026-06-02 22:48:57,246][513861] Updated weights for policy 0, policy_version 21114 (0.0005) -[2026-06-02 22:48:58,993][513861] Updated weights for policy 0, policy_version 21170 (0.0005) -[2026-06-02 22:49:00,108][512914] Fps is (10 sec: 17203.0, 60 sec: 18158.9, 300 sec: 17883.6). Total num frames: 10846208. Throughput: 0: 18431.9. Samples: 10871808. Policy #0 lag: (min: 43.0, avg: 48.2, max: 107.0) -[2026-06-02 22:49:00,109][512914] Avg episode reward: [(0, '4367.050')] -[2026-06-02 22:49:00,113][513792] Saving new best policy, reward=4367.050! -[2026-06-02 22:49:00,673][513861] Updated weights for policy 0, policy_version 21238 (0.0007) -[2026-06-02 22:49:02,429][513861] Updated weights for policy 0, policy_version 21301 (0.0009) -[2026-06-02 22:49:03,946][513792] Signal inference workers to stop experience collection... (1000 times) -[2026-06-02 22:49:03,976][513861] InferenceWorker_p0-w0: stopping experience collection (1000 times) -[2026-06-02 22:49:04,062][513792] Signal inference workers to resume experience collection... (1000 times) -[2026-06-02 22:49:04,063][513861] InferenceWorker_p0-w0: resuming experience collection (1000 times) -[2026-06-02 22:49:04,229][513861] Updated weights for policy 0, policy_version 21364 (0.0010) -[2026-06-02 22:49:05,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 17883.5). Total num frames: 10944512. Throughput: 0: 18466.1. Samples: 10925568. Policy #0 lag: (min: 43.0, avg: 48.2, max: 107.0) -[2026-06-02 22:49:05,109][512914] Avg episode reward: [(0, '4349.750')] -[2026-06-02 22:49:06,081][513861] Updated weights for policy 0, policy_version 21428 (0.0009) -[2026-06-02 22:49:07,878][513861] Updated weights for policy 0, policy_version 21488 (0.0009) -[2026-06-02 22:49:09,722][513861] Updated weights for policy 0, policy_version 21554 (0.0008) -[2026-06-02 22:49:10,108][512914] Fps is (10 sec: 19660.9, 60 sec: 18568.5, 300 sec: 17966.9). Total num frames: 11042816. Throughput: 0: 18488.9. Samples: 11035136. Policy #0 lag: (min: 15.0, avg: 20.7, max: 79.0) -[2026-06-02 22:49:10,109][512914] Avg episode reward: [(0, '4421.950')] -[2026-06-02 22:49:10,113][513792] Saving new best policy, reward=4421.950! -[2026-06-02 22:49:11,537][513861] Updated weights for policy 0, policy_version 21618 (0.0009) -[2026-06-02 22:49:13,289][513861] Updated weights for policy 0, policy_version 21683 (0.0010) -[2026-06-02 22:49:15,108][512914] Fps is (10 sec: 18841.8, 60 sec: 18432.0, 300 sec: 17966.9). Total num frames: 11132928. Throughput: 0: 18329.6. Samples: 11143168. Policy #0 lag: (min: 15.0, avg: 20.7, max: 79.0) -[2026-06-02 22:49:15,109][512914] Avg episode reward: [(0, '4332.950')] -[2026-06-02 22:49:15,170][513861] Updated weights for policy 0, policy_version 21754 (0.0010) -[2026-06-02 22:49:16,991][513861] Updated weights for policy 0, policy_version 21823 (0.0010) -[2026-06-02 22:49:18,718][513861] Updated weights for policy 0, policy_version 21883 (0.0010) -[2026-06-02 22:49:20,108][512914] Fps is (10 sec: 16383.9, 60 sec: 18022.4, 300 sec: 17883.5). Total num frames: 11206656. Throughput: 0: 18386.4. Samples: 11200000. Policy #0 lag: (min: 15.0, avg: 20.7, max: 79.0) -[2026-06-02 22:49:20,109][512914] Avg episode reward: [(0, '4333.100')] -[2026-06-02 22:49:20,504][513861] Updated weights for policy 0, policy_version 21946 (0.0009) -[2026-06-02 22:49:22,282][513861] Updated weights for policy 0, policy_version 22008 (0.0009) -[2026-06-02 22:49:23,974][513861] Updated weights for policy 0, policy_version 22074 (0.0010) -[2026-06-02 22:49:25,108][512914] Fps is (10 sec: 17203.1, 60 sec: 18295.4, 300 sec: 17966.9). Total num frames: 11304960. Throughput: 0: 18409.2. Samples: 11309056. Policy #0 lag: (min: 13.0, avg: 19.5, max: 77.0) -[2026-06-02 22:49:25,109][512914] Avg episode reward: [(0, '4373.300')] -[2026-06-02 22:49:25,716][513861] Updated weights for policy 0, policy_version 22134 (0.0010) -[2026-06-02 22:49:27,439][513861] Updated weights for policy 0, policy_version 22198 (0.0010) -[2026-06-02 22:49:29,287][513861] Updated weights for policy 0, policy_version 22261 (0.0010) -[2026-06-02 22:49:30,108][512914] Fps is (10 sec: 19660.9, 60 sec: 18568.5, 300 sec: 17994.6). Total num frames: 11403264. Throughput: 0: 18443.4. Samples: 11422720. Policy #0 lag: (min: 13.0, avg: 19.5, max: 77.0) -[2026-06-02 22:49:30,109][512914] Avg episode reward: [(0, '4448.000')] -[2026-06-02 22:49:30,113][513792] Saving new best policy, reward=4448.000! -[2026-06-02 22:49:30,905][513861] Updated weights for policy 0, policy_version 22320 (0.0009) -[2026-06-02 22:49:32,759][513861] Updated weights for policy 0, policy_version 22384 (0.0009) -[2026-06-02 22:49:34,134][513792] Signal inference workers to stop experience collection... (1050 times) -[2026-06-02 22:49:34,162][513861] InferenceWorker_p0-w0: stopping experience collection (1050 times) -[2026-06-02 22:49:34,256][513792] Signal inference workers to resume experience collection... (1050 times) -[2026-06-02 22:49:34,257][513861] InferenceWorker_p0-w0: resuming experience collection (1050 times) -[2026-06-02 22:49:34,522][513861] Updated weights for policy 0, policy_version 22450 (0.0011) -[2026-06-02 22:49:35,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 18022.4). Total num frames: 11501568. Throughput: 0: 18386.5. Samples: 11475456. Policy #0 lag: (min: 13.0, avg: 19.5, max: 77.0) -[2026-06-02 22:49:35,109][512914] Avg episode reward: [(0, '4477.950')] -[2026-06-02 22:49:35,113][513792] Saving new best policy, reward=4477.950! -[2026-06-02 22:49:36,140][513861] Updated weights for policy 0, policy_version 22498 (0.0009) -[2026-06-02 22:49:38,021][513861] Updated weights for policy 0, policy_version 22562 (0.0010) -[2026-06-02 22:49:39,888][513861] Updated weights for policy 0, policy_version 22626 (0.0010) -[2026-06-02 22:49:40,108][512914] Fps is (10 sec: 18841.5, 60 sec: 18432.0, 300 sec: 18077.9). Total num frames: 11591680. Throughput: 0: 18409.2. Samples: 11586048. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 22:49:40,109][512914] Avg episode reward: [(0, '4692.250')] -[2026-06-02 22:49:40,119][513792] Saving new best policy, reward=4692.250! -[2026-06-02 22:49:41,663][513861] Updated weights for policy 0, policy_version 22690 (0.0009) -[2026-06-02 22:49:43,413][513861] Updated weights for policy 0, policy_version 22768 (0.0010) -[2026-06-02 22:49:45,108][512914] Fps is (10 sec: 18022.5, 60 sec: 18295.5, 300 sec: 18050.2). Total num frames: 11681792. Throughput: 0: 18386.5. Samples: 11699200. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 22:49:45,109][512914] Avg episode reward: [(0, '4743.350')] -[2026-06-02 22:49:45,135][513861] Updated weights for policy 0, policy_version 22818 (0.0009) -[2026-06-02 22:49:45,382][513792] Saving new best policy, reward=4743.350! -[2026-06-02 22:49:46,835][513861] Updated weights for policy 0, policy_version 22880 (0.0010) -[2026-06-02 22:49:48,558][513861] Updated weights for policy 0, policy_version 22946 (0.0009) -[2026-06-02 22:49:50,108][512914] Fps is (10 sec: 17203.3, 60 sec: 18158.9, 300 sec: 17994.6). Total num frames: 11763712. Throughput: 0: 18454.8. Samples: 11756032. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 22:49:50,109][512914] Avg episode reward: [(0, '4724.250')] -[2026-06-02 22:49:50,396][513861] Updated weights for policy 0, policy_version 23024 (0.0009) -[2026-06-02 22:49:52,172][513861] Updated weights for policy 0, policy_version 23088 (0.0009) -[2026-06-02 22:49:54,006][513861] Updated weights for policy 0, policy_version 23138 (0.0009) -[2026-06-02 22:49:55,108][512914] Fps is (10 sec: 18022.4, 60 sec: 18568.6, 300 sec: 18105.7). Total num frames: 11862016. Throughput: 0: 18420.6. Samples: 11864064. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 22:49:55,109][512914] Avg episode reward: [(0, '4842.500')] -[2026-06-02 22:49:55,114][513792] Saving new best policy, reward=4842.500! -[2026-06-02 22:49:55,689][513861] Updated weights for policy 0, policy_version 23200 (0.0010) -[2026-06-02 22:49:57,555][513861] Updated weights for policy 0, policy_version 23266 (0.0011) -[2026-06-02 22:49:59,343][513861] Updated weights for policy 0, policy_version 23328 (0.0009) -[2026-06-02 22:50:00,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18568.6, 300 sec: 18105.7). Total num frames: 11960320. Throughput: 0: 18420.6. Samples: 11972096. Policy #0 lag: (min: 10.0, avg: 15.2, max: 74.0) -[2026-06-02 22:50:00,109][512914] Avg episode reward: [(0, '4790.300')] -[2026-06-02 22:50:01,082][513861] Updated weights for policy 0, policy_version 23392 (0.0010) -[2026-06-02 22:50:02,678][513861] Updated weights for policy 0, policy_version 23440 (0.0009) -[2026-06-02 22:50:02,784][513792] Signal inference workers to stop experience collection... (1100 times) -[2026-06-02 22:50:02,809][513861] InferenceWorker_p0-w0: stopping experience collection (1100 times) -[2026-06-02 22:50:02,887][513792] Signal inference workers to resume experience collection... (1100 times) -[2026-06-02 22:50:02,887][513861] InferenceWorker_p0-w0: resuming experience collection (1100 times) -[2026-06-02 22:50:04,469][513861] Updated weights for policy 0, policy_version 23504 (0.0006) -[2026-06-02 22:50:05,108][512914] Fps is (10 sec: 19660.6, 60 sec: 18568.5, 300 sec: 18105.7). Total num frames: 12058624. Throughput: 0: 18443.4. Samples: 12029952. Policy #0 lag: (min: 10.0, avg: 15.2, max: 74.0) -[2026-06-02 22:50:05,109][512914] Avg episode reward: [(0, '4783.500')] -[2026-06-02 22:50:06,216][513861] Updated weights for policy 0, policy_version 23554 (0.0005) -[2026-06-02 22:50:06,681][513861] Updated weights for policy 0, policy_version 23616 (0.0005) -[2026-06-02 22:50:08,303][513861] Updated weights for policy 0, policy_version 23672 (0.0009) -[2026-06-02 22:50:10,064][513861] Updated weights for policy 0, policy_version 23734 (0.0010) -[2026-06-02 22:50:10,108][512914] Fps is (10 sec: 18841.6, 60 sec: 18432.0, 300 sec: 18189.0). Total num frames: 12148736. Throughput: 0: 18500.3. Samples: 12141568. Policy #0 lag: (min: 10.0, avg: 15.2, max: 74.0) -[2026-06-02 22:50:10,109][512914] Avg episode reward: [(0, '4926.150')] -[2026-06-02 22:50:10,141][513792] Saving new best policy, reward=4926.150! -[2026-06-02 22:50:11,803][513861] Updated weights for policy 0, policy_version 23794 (0.0009) -[2026-06-02 22:50:13,606][513861] Updated weights for policy 0, policy_version 23860 (0.0009) -[2026-06-02 22:50:15,108][512914] Fps is (10 sec: 17203.2, 60 sec: 18295.4, 300 sec: 18133.5). Total num frames: 12230656. Throughput: 0: 18500.2. Samples: 12255232. Policy #0 lag: (min: 4.0, avg: 9.5, max: 68.0) -[2026-06-02 22:50:15,109][512914] Avg episode reward: [(0, '5045.000')] -[2026-06-02 22:50:15,280][513792] Saving new best policy, reward=5045.000! -[2026-06-02 22:50:15,282][513861] Updated weights for policy 0, policy_version 23920 (0.0010) -[2026-06-02 22:50:16,888][513861] Updated weights for policy 0, policy_version 23968 (0.0009) -[2026-06-02 22:50:18,790][513861] Updated weights for policy 0, policy_version 24034 (0.0010) -[2026-06-02 22:50:20,108][512914] Fps is (10 sec: 17203.0, 60 sec: 18568.5, 300 sec: 18133.5). Total num frames: 12320768. Throughput: 0: 18523.0. Samples: 12308992. Policy #0 lag: (min: 4.0, avg: 9.5, max: 68.0) -[2026-06-02 22:50:20,109][512914] Avg episode reward: [(0, '5158.900')] -[2026-06-02 22:50:20,114][513792] Saving new best policy, reward=5158.900! -[2026-06-02 22:50:20,584][513861] Updated weights for policy 0, policy_version 24112 (0.0011) -[2026-06-02 22:50:22,444][513861] Updated weights for policy 0, policy_version 24176 (0.0011) -[2026-06-02 22:50:24,227][513861] Updated weights for policy 0, policy_version 24240 (0.0010) -[2026-06-02 22:50:25,108][512914] Fps is (10 sec: 18841.7, 60 sec: 18568.5, 300 sec: 18216.8). Total num frames: 12419072. Throughput: 0: 18534.4. Samples: 12420096. Policy #0 lag: (min: 4.0, avg: 9.5, max: 68.0) -[2026-06-02 22:50:25,109][512914] Avg episode reward: [(0, '5289.400')] -[2026-06-02 22:50:25,113][513792] Saving new best policy, reward=5289.400! -[2026-06-02 22:50:25,994][513861] Updated weights for policy 0, policy_version 24306 (0.0010) -[2026-06-02 22:50:27,700][513861] Updated weights for policy 0, policy_version 24368 (0.0010) -[2026-06-02 22:50:29,263][513861] Updated weights for policy 0, policy_version 24402 (0.0009) -[2026-06-02 22:50:30,108][512914] Fps is (10 sec: 19660.9, 60 sec: 18568.5, 300 sec: 18216.8). Total num frames: 12517376. Throughput: 0: 18488.9. Samples: 12531200. Policy #0 lag: (min: 63.0, avg: 68.3, max: 127.0) -[2026-06-02 22:50:30,109][512914] Avg episode reward: [(0, '5239.250')] -[2026-06-02 22:50:30,847][513861] Updated weights for policy 0, policy_version 24450 (0.0009) -[2026-06-02 22:50:31,348][513861] Updated weights for policy 0, policy_version 24512 (0.0009) -[2026-06-02 22:50:32,779][513792] Signal inference workers to stop experience collection... (1150 times) -[2026-06-02 22:50:32,806][513861] InferenceWorker_p0-w0: stopping experience collection (1150 times) -[2026-06-02 22:50:32,895][513792] Signal inference workers to resume experience collection... (1150 times) -[2026-06-02 22:50:32,895][513861] InferenceWorker_p0-w0: resuming experience collection (1150 times) -[2026-06-02 22:50:34,651][513861] Updated weights for policy 0, policy_version 24578 (0.0010) -[2026-06-02 22:50:35,108][512914] Fps is (10 sec: 18841.4, 60 sec: 18432.0, 300 sec: 18189.0). Total num frames: 12607488. Throughput: 0: 18443.3. Samples: 12585984. Policy #0 lag: (min: 63.0, avg: 68.3, max: 127.0) -[2026-06-02 22:50:35,109][512914] Avg episode reward: [(0, '5469.100')] -[2026-06-02 22:50:35,130][513792] Saving new best policy, reward=5469.100! -[2026-06-02 22:50:35,134][513861] Updated weights for policy 0, policy_version 24640 (0.0009) -[2026-06-02 22:50:38,137][513861] Updated weights for policy 0, policy_version 24720 (0.0010) -[2026-06-02 22:50:39,740][513861] Updated weights for policy 0, policy_version 24770 (0.0010) -[2026-06-02 22:50:40,108][512914] Fps is (10 sec: 18841.8, 60 sec: 18568.6, 300 sec: 18189.0). Total num frames: 12705792. Throughput: 0: 18511.7. Samples: 12697088. Policy #0 lag: (min: 63.0, avg: 68.3, max: 127.0) -[2026-06-02 22:50:40,109][512914] Avg episode reward: [(0, '5410.600')] -[2026-06-02 22:50:41,432][513861] Updated weights for policy 0, policy_version 24834 (0.0010) -[2026-06-02 22:50:43,292][513861] Updated weights for policy 0, policy_version 24912 (0.0010) -[2026-06-02 22:50:45,108][512914] Fps is (10 sec: 17203.5, 60 sec: 18295.5, 300 sec: 18189.0). Total num frames: 12779520. Throughput: 0: 18636.8. Samples: 12810752. Policy #0 lag: (min: 63.0, avg: 68.3, max: 127.0) -[2026-06-02 22:50:45,109][512914] Avg episode reward: [(0, '5416.000')] -[2026-06-02 22:50:45,184][513861] Updated weights for policy 0, policy_version 24976 (0.0010) -[2026-06-02 22:50:45,619][513861] Updated weights for policy 0, policy_version 25024 (0.0009) -[2026-06-02 22:50:47,456][513861] Updated weights for policy 0, policy_version 25085 (0.0010) -[2026-06-02 22:50:49,248][513861] Updated weights for policy 0, policy_version 25144 (0.0010) -[2026-06-02 22:50:50,108][512914] Fps is (10 sec: 17202.9, 60 sec: 18568.5, 300 sec: 18216.8). Total num frames: 12877824. Throughput: 0: 18466.1. Samples: 12860928. Policy #0 lag: (min: 15.0, avg: 20.7, max: 79.0) -[2026-06-02 22:50:50,109][512914] Avg episode reward: [(0, '5481.350')] -[2026-06-02 22:50:50,113][513792] Saving new best policy, reward=5481.350! -[2026-06-02 22:50:51,009][513861] Updated weights for policy 0, policy_version 25211 (0.0010) -[2026-06-02 22:50:52,887][513861] Updated weights for policy 0, policy_version 25279 (0.0009) -[2026-06-02 22:50:54,594][513861] Updated weights for policy 0, policy_version 25334 (0.0009) -[2026-06-02 22:50:55,108][512914] Fps is (10 sec: 19660.7, 60 sec: 18568.5, 300 sec: 18216.8). Total num frames: 12976128. Throughput: 0: 18443.4. Samples: 12971520. Policy #0 lag: (min: 15.0, avg: 20.7, max: 79.0) -[2026-06-02 22:50:55,109][512914] Avg episode reward: [(0, '5439.600')] -[2026-06-02 22:50:56,333][513861] Updated weights for policy 0, policy_version 25394 (0.0009) -[2026-06-02 22:50:58,105][513861] Updated weights for policy 0, policy_version 25456 (0.0009) -[2026-06-02 22:50:59,871][513861] Updated weights for policy 0, policy_version 25520 (0.0009) -[2026-06-02 22:51:00,108][512914] Fps is (10 sec: 19661.2, 60 sec: 18568.5, 300 sec: 18216.8). Total num frames: 13074432. Throughput: 0: 18306.9. Samples: 13079040. Policy #0 lag: (min: 15.0, avg: 20.7, max: 79.0) -[2026-06-02 22:51:00,109][512914] Avg episode reward: [(0, '5400.600')] -[2026-06-02 22:51:01,497][513861] Updated weights for policy 0, policy_version 25568 (0.0009) -[2026-06-02 22:51:03,043][513792] Signal inference workers to stop experience collection... (1200 times) -[2026-06-02 22:51:03,089][513861] InferenceWorker_p0-w0: stopping experience collection (1200 times) -[2026-06-02 22:51:03,163][513792] Signal inference workers to resume experience collection... (1200 times) -[2026-06-02 22:51:03,163][513861] InferenceWorker_p0-w0: resuming experience collection (1200 times) -[2026-06-02 22:51:03,210][513861] Updated weights for policy 0, policy_version 25619 (0.0010) -[2026-06-02 22:51:05,108][512914] Fps is (10 sec: 17203.2, 60 sec: 18159.0, 300 sec: 18244.6). Total num frames: 13148160. Throughput: 0: 18420.7. Samples: 13137920. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 22:51:05,109][512914] Avg episode reward: [(0, '5490.600')] -[2026-06-02 22:51:05,161][513861] Updated weights for policy 0, policy_version 25699 (0.0010) -[2026-06-02 22:51:05,206][513792] Saving new best policy, reward=5490.600! -[2026-06-02 22:51:06,862][513861] Updated weights for policy 0, policy_version 25776 (0.0010) -[2026-06-02 22:51:08,665][513861] Updated weights for policy 0, policy_version 25826 (0.0009) -[2026-06-02 22:51:10,108][512914] Fps is (10 sec: 16384.1, 60 sec: 18159.0, 300 sec: 18216.8). Total num frames: 13238272. Throughput: 0: 18329.6. Samples: 13244928. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 22:51:10,109][512914] Avg episode reward: [(0, '5559.650')] -[2026-06-02 22:51:10,307][513792] Saving new best policy, reward=5559.650! -[2026-06-02 22:51:10,308][513861] Updated weights for policy 0, policy_version 25888 (0.0008) -[2026-06-02 22:51:11,913][513861] Updated weights for policy 0, policy_version 25936 (0.0005) -[2026-06-02 22:51:13,628][513861] Updated weights for policy 0, policy_version 25986 (0.0008) -[2026-06-02 22:51:14,113][513861] Updated weights for policy 0, policy_version 26048 (0.0009) -[2026-06-02 22:51:15,108][512914] Fps is (10 sec: 18841.7, 60 sec: 18432.0, 300 sec: 18216.8). Total num frames: 13336576. Throughput: 0: 18466.2. Samples: 13362176. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 22:51:15,109][512914] Avg episode reward: [(0, '5733.200')] -[2026-06-02 22:51:15,112][513792] Saving new best policy, reward=5733.200! -[2026-06-02 22:51:15,788][513861] Updated weights for policy 0, policy_version 26112 (0.0009) -[2026-06-02 22:51:17,611][513861] Updated weights for policy 0, policy_version 26174 (0.0010) -[2026-06-02 22:51:19,398][513861] Updated weights for policy 0, policy_version 26234 (0.0010) -[2026-06-02 22:51:20,108][512914] Fps is (10 sec: 19660.7, 60 sec: 18568.6, 300 sec: 18300.1). Total num frames: 13434880. Throughput: 0: 18409.3. Samples: 13414400. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 22:51:20,109][512914] Avg episode reward: [(0, '5708.850')] -[2026-06-02 22:51:21,096][513861] Updated weights for policy 0, policy_version 26294 (0.0009) -[2026-06-02 22:51:22,858][513861] Updated weights for policy 0, policy_version 26354 (0.0010) -[2026-06-02 22:51:24,621][513861] Updated weights for policy 0, policy_version 26422 (0.0009) -[2026-06-02 22:51:25,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 18327.9). Total num frames: 13533184. Throughput: 0: 18466.1. Samples: 13528064. Policy #0 lag: (min: 6.0, avg: 11.4, max: 70.0) -[2026-06-02 22:51:25,109][512914] Avg episode reward: [(0, '5796.300')] -[2026-06-02 22:51:25,113][513792] Saving new best policy, reward=5796.300! -[2026-06-02 22:51:26,369][513861] Updated weights for policy 0, policy_version 26486 (0.0010) -[2026-06-02 22:51:28,144][513861] Updated weights for policy 0, policy_version 26550 (0.0010) -[2026-06-02 22:51:29,853][513861] Updated weights for policy 0, policy_version 26611 (0.0009) -[2026-06-02 22:51:30,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18568.6, 300 sec: 18327.9). Total num frames: 13631488. Throughput: 0: 18352.4. Samples: 13636608. Policy #0 lag: (min: 6.0, avg: 11.4, max: 70.0) -[2026-06-02 22:51:30,109][512914] Avg episode reward: [(0, '5963.950')] -[2026-06-02 22:51:30,112][513792] Saving new best policy, reward=5963.950! -[2026-06-02 22:51:31,322][513792] Signal inference workers to stop experience collection... (1250 times) -[2026-06-02 22:51:31,351][513861] InferenceWorker_p0-w0: stopping experience collection (1250 times) -[2026-06-02 22:51:31,368][513861] Updated weights for policy 0, policy_version 26658 (0.0009) -[2026-06-02 22:51:31,438][513792] Signal inference workers to resume experience collection... (1250 times) -[2026-06-02 22:51:31,439][513861] InferenceWorker_p0-w0: resuming experience collection (1250 times) -[2026-06-02 22:51:33,091][513861] Updated weights for policy 0, policy_version 26720 (0.0009) -[2026-06-02 22:51:34,841][513861] Updated weights for policy 0, policy_version 26784 (0.0010) -[2026-06-02 22:51:35,108][512914] Fps is (10 sec: 18841.6, 60 sec: 18568.6, 300 sec: 18300.1). Total num frames: 13721600. Throughput: 0: 18602.8. Samples: 13698048. Policy #0 lag: (min: 6.0, avg: 11.4, max: 70.0) -[2026-06-02 22:51:35,109][512914] Avg episode reward: [(0, '5841.750')] -[2026-06-02 22:51:36,488][513861] Updated weights for policy 0, policy_version 26848 (0.0010) -[2026-06-02 22:51:38,062][513861] Updated weights for policy 0, policy_version 26896 (0.0009) -[2026-06-02 22:51:38,453][513861] Updated weights for policy 0, policy_version 26944 (0.0009) -[2026-06-02 22:51:40,108][512914] Fps is (10 sec: 18841.4, 60 sec: 18568.5, 300 sec: 18411.2). Total num frames: 13819904. Throughput: 0: 18670.9. Samples: 13811712. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 22:51:40,109][512914] Avg episode reward: [(0, '5948.300')] -[2026-06-02 22:51:40,217][513861] Updated weights for policy 0, policy_version 27006 (0.0010) -[2026-06-02 22:51:42,054][513861] Updated weights for policy 0, policy_version 27070 (0.0009) -[2026-06-02 22:51:43,863][513861] Updated weights for policy 0, policy_version 27133 (0.0009) -[2026-06-02 22:51:45,108][512914] Fps is (10 sec: 17203.1, 60 sec: 18568.5, 300 sec: 18327.9). Total num frames: 13893632. Throughput: 0: 18773.3. Samples: 13923840. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 22:51:45,110][512914] Avg episode reward: [(0, '6028.800')] -[2026-06-02 22:51:45,270][513792] Saving new best policy, reward=6028.800! -[2026-06-02 22:51:45,568][513861] Updated weights for policy 0, policy_version 27200 (0.0010) -[2026-06-02 22:51:47,383][513861] Updated weights for policy 0, policy_version 27264 (0.0010) -[2026-06-02 22:51:49,194][513861] Updated weights for policy 0, policy_version 27324 (0.0010) -[2026-06-02 22:51:50,108][512914] Fps is (10 sec: 17203.4, 60 sec: 18568.6, 300 sec: 18327.9). Total num frames: 13991936. Throughput: 0: 18625.4. Samples: 13976064. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 22:51:50,109][512914] Avg episode reward: [(0, '5949.800')] -[2026-06-02 22:51:50,979][513861] Updated weights for policy 0, policy_version 27388 (0.0011) -[2026-06-02 22:51:52,680][513861] Updated weights for policy 0, policy_version 27450 (0.0010) -[2026-06-02 22:51:54,366][513861] Updated weights for policy 0, policy_version 27511 (0.0010) -[2026-06-02 22:51:55,108][512914] Fps is (10 sec: 19660.9, 60 sec: 18568.6, 300 sec: 18327.9). Total num frames: 14090240. Throughput: 0: 18796.1. Samples: 14090752. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 22:51:55,109][512914] Avg episode reward: [(0, '6016.100')] -[2026-06-02 22:51:56,138][513861] Updated weights for policy 0, policy_version 27568 (0.0010) -[2026-06-02 22:51:57,999][513861] Updated weights for policy 0, policy_version 27634 (0.0010) -[2026-06-02 22:51:59,673][513861] Updated weights for policy 0, policy_version 27696 (0.0010) -[2026-06-02 22:52:00,108][512914] Fps is (10 sec: 19660.6, 60 sec: 18568.5, 300 sec: 18355.6). Total num frames: 14188544. Throughput: 0: 18523.0. Samples: 14195712. Policy #0 lag: (min: 40.0, avg: 45.9, max: 104.0) -[2026-06-02 22:52:00,109][512914] Avg episode reward: [(0, '6182.550')] -[2026-06-02 22:52:00,113][513792] Saving new best policy, reward=6182.550! -[2026-06-02 22:52:01,306][513792] Signal inference workers to stop experience collection... (1300 times) -[2026-06-02 22:52:01,335][513861] InferenceWorker_p0-w0: stopping experience collection (1300 times) -[2026-06-02 22:52:01,408][513792] Signal inference workers to resume experience collection... (1300 times) -[2026-06-02 22:52:01,409][513861] InferenceWorker_p0-w0: resuming experience collection (1300 times) -[2026-06-02 22:52:01,575][513861] Updated weights for policy 0, policy_version 27764 (0.0010) -[2026-06-02 22:52:03,319][513861] Updated weights for policy 0, policy_version 27828 (0.0010) -[2026-06-02 22:52:04,921][513861] Updated weights for policy 0, policy_version 27888 (0.0010) -[2026-06-02 22:52:05,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18978.2, 300 sec: 18438.9). Total num frames: 14286848. Throughput: 0: 18682.3. Samples: 14255104. Policy #0 lag: (min: 40.0, avg: 45.9, max: 104.0) -[2026-06-02 22:52:05,109][512914] Avg episode reward: [(0, '6222.750')] -[2026-06-02 22:52:05,112][513792] Saving new best policy, reward=6222.750! -[2026-06-02 22:52:06,441][513861] Updated weights for policy 0, policy_version 27922 (0.0009) -[2026-06-02 22:52:08,373][513861] Updated weights for policy 0, policy_version 28000 (0.0010) -[2026-06-02 22:52:09,969][513861] Updated weights for policy 0, policy_version 28048 (0.0010) -[2026-06-02 22:52:10,108][512914] Fps is (10 sec: 18022.6, 60 sec: 18841.6, 300 sec: 18383.4). Total num frames: 14368768. Throughput: 0: 18579.9. Samples: 14364160. Policy #0 lag: (min: 40.0, avg: 45.9, max: 104.0) -[2026-06-02 22:52:10,109][512914] Avg episode reward: [(0, '6377.100')] -[2026-06-02 22:52:10,359][513792] Saving new best policy, reward=6377.100! -[2026-06-02 22:52:10,384][513861] Updated weights for policy 0, policy_version 28096 (0.0009) -[2026-06-02 22:52:13,530][513861] Updated weights for policy 0, policy_version 28162 (0.0010) -[2026-06-02 22:52:14,025][513861] Updated weights for policy 0, policy_version 28224 (0.0009) -[2026-06-02 22:52:15,108][512914] Fps is (10 sec: 16383.9, 60 sec: 18568.5, 300 sec: 18327.9). Total num frames: 14450688. Throughput: 0: 18670.9. Samples: 14476800. Policy #0 lag: (min: 40.0, avg: 45.9, max: 104.0) -[2026-06-02 22:52:15,109][512914] Avg episode reward: [(0, '6431.800')] -[2026-06-02 22:52:15,112][513792] Saving new best policy, reward=6431.800! -[2026-06-02 22:52:15,717][513861] Updated weights for policy 0, policy_version 28284 (0.0009) -[2026-06-02 22:52:17,451][513861] Updated weights for policy 0, policy_version 28352 (0.0009) -[2026-06-02 22:52:19,137][513861] Updated weights for policy 0, policy_version 28415 (0.0010) -[2026-06-02 22:52:20,108][512914] Fps is (10 sec: 18022.4, 60 sec: 18568.5, 300 sec: 18355.6). Total num frames: 14548992. Throughput: 0: 18557.1. Samples: 14533120. Policy #0 lag: (min: 6.0, avg: 11.6, max: 70.0) -[2026-06-02 22:52:20,109][512914] Avg episode reward: [(0, '6475.050')] -[2026-06-02 22:52:20,112][513792] Saving new best policy, reward=6475.050! -[2026-06-02 22:52:20,972][513861] Updated weights for policy 0, policy_version 28479 (0.0009) -[2026-06-02 22:52:22,722][513861] Updated weights for policy 0, policy_version 28539 (0.0009) -[2026-06-02 22:52:24,508][513861] Updated weights for policy 0, policy_version 28600 (0.0007) -[2026-06-02 22:52:25,108][512914] Fps is (10 sec: 19660.9, 60 sec: 18568.5, 300 sec: 18438.9). Total num frames: 14647296. Throughput: 0: 18523.1. Samples: 14645248. Policy #0 lag: (min: 6.0, avg: 11.6, max: 70.0) -[2026-06-02 22:52:25,109][512914] Avg episode reward: [(0, '6354.200')] -[2026-06-02 22:52:26,218][513861] Updated weights for policy 0, policy_version 28656 (0.0006) -[2026-06-02 22:52:27,807][513861] Updated weights for policy 0, policy_version 28706 (0.0006) -[2026-06-02 22:52:29,535][513861] Updated weights for policy 0, policy_version 28768 (0.0006) -[2026-06-02 22:52:30,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 18438.9). Total num frames: 14745600. Throughput: 0: 18466.1. Samples: 14754816. Policy #0 lag: (min: 6.0, avg: 11.6, max: 70.0) -[2026-06-02 22:52:30,109][512914] Avg episode reward: [(0, '6319.700')] -[2026-06-02 22:52:30,991][513792] Signal inference workers to stop experience collection... (1350 times) -[2026-06-02 22:52:31,018][513861] InferenceWorker_p0-w0: stopping experience collection (1350 times) -[2026-06-02 22:52:31,122][513792] Signal inference workers to resume experience collection... (1350 times) -[2026-06-02 22:52:31,122][513861] InferenceWorker_p0-w0: resuming experience collection (1350 times) -[2026-06-02 22:52:31,237][513861] Updated weights for policy 0, policy_version 28832 (0.0008) -[2026-06-02 22:52:32,979][513861] Updated weights for policy 0, policy_version 28896 (0.0009) -[2026-06-02 22:52:34,873][513861] Updated weights for policy 0, policy_version 28963 (0.0010) -[2026-06-02 22:52:35,108][512914] Fps is (10 sec: 18841.5, 60 sec: 18568.5, 300 sec: 18411.2). Total num frames: 14835712. Throughput: 0: 18591.3. Samples: 14812672. Policy #0 lag: (min: 6.0, avg: 11.6, max: 70.0) -[2026-06-02 22:52:35,109][512914] Avg episode reward: [(0, '6311.050')] -[2026-06-02 22:52:36,752][513861] Updated weights for policy 0, policy_version 29040 (0.0010) -[2026-06-02 22:52:38,567][513861] Updated weights for policy 0, policy_version 29090 (0.0009) -[2026-06-02 22:52:40,108][512914] Fps is (10 sec: 16384.1, 60 sec: 18159.0, 300 sec: 18411.2). Total num frames: 14909440. Throughput: 0: 18397.9. Samples: 14918656. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-02 22:52:40,109][512914] Avg episode reward: [(0, '6186.050')] -[2026-06-02 22:52:40,341][513861] Updated weights for policy 0, policy_version 29154 (0.0009) -[2026-06-02 22:52:41,952][513861] Updated weights for policy 0, policy_version 29202 (0.0009) -[2026-06-02 22:52:43,847][513861] Updated weights for policy 0, policy_version 29280 (0.0010) -[2026-06-02 22:52:45,108][512914] Fps is (10 sec: 17203.3, 60 sec: 18568.5, 300 sec: 18438.9). Total num frames: 15007744. Throughput: 0: 18580.0. Samples: 15031808. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-02 22:52:45,109][512914] Avg episode reward: [(0, '6193.850')] -[2026-06-02 22:52:45,496][513861] Updated weights for policy 0, policy_version 29328 (0.0009) -[2026-06-02 22:52:47,276][513861] Updated weights for policy 0, policy_version 29394 (0.0010) -[2026-06-02 22:52:48,990][513861] Updated weights for policy 0, policy_version 29456 (0.0010) -[2026-06-02 22:52:50,108][512914] Fps is (10 sec: 19660.7, 60 sec: 18568.5, 300 sec: 18438.9). Total num frames: 15106048. Throughput: 0: 18477.5. Samples: 15086592. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-02 22:52:50,109][512914] Avg episode reward: [(0, '6217.550')] -[2026-06-02 22:52:50,796][513861] Updated weights for policy 0, policy_version 29520 (0.0009) -[2026-06-02 22:52:52,593][513861] Updated weights for policy 0, policy_version 29570 (0.0009) -[2026-06-02 22:52:53,071][513861] Updated weights for policy 0, policy_version 29632 (0.0009) -[2026-06-02 22:52:54,705][513861] Updated weights for policy 0, policy_version 29693 (0.0009) -[2026-06-02 22:52:55,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 18466.7). Total num frames: 15204352. Throughput: 0: 18534.4. Samples: 15198208. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-02 22:52:55,109][512914] Avg episode reward: [(0, '6350.050')] -[2026-06-02 22:52:56,478][513861] Updated weights for policy 0, policy_version 29760 (0.0009) -[2026-06-02 22:52:58,213][513861] Updated weights for policy 0, policy_version 29820 (0.0009) -[2026-06-02 22:52:59,665][513792] Signal inference workers to stop experience collection... (1400 times) -[2026-06-02 22:52:59,693][513861] InferenceWorker_p0-w0: stopping experience collection (1400 times) -[2026-06-02 22:52:59,769][513792] Signal inference workers to resume experience collection... (1400 times) -[2026-06-02 22:52:59,770][513861] InferenceWorker_p0-w0: resuming experience collection (1400 times) -[2026-06-02 22:52:59,891][513861] Updated weights for policy 0, policy_version 29883 (0.0009) -[2026-06-02 22:53:00,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18568.6, 300 sec: 18550.0). Total num frames: 15302656. Throughput: 0: 18488.9. Samples: 15308800. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 22:53:00,109][512914] Avg episode reward: [(0, '6301.250')] -[2026-06-02 22:53:01,658][513861] Updated weights for policy 0, policy_version 29944 (0.0009) -[2026-06-02 22:53:03,402][513861] Updated weights for policy 0, policy_version 30005 (0.0010) -[2026-06-02 22:53:05,108][512914] Fps is (10 sec: 18022.3, 60 sec: 18295.4, 300 sec: 18494.5). Total num frames: 15384576. Throughput: 0: 18523.0. Samples: 15366656. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 22:53:05,109][512914] Avg episode reward: [(0, '6297.800')] -[2026-06-02 22:53:05,218][513861] Updated weights for policy 0, policy_version 30070 (0.0009) -[2026-06-02 22:53:06,999][513861] Updated weights for policy 0, policy_version 30134 (0.0010) -[2026-06-02 22:53:08,777][513861] Updated weights for policy 0, policy_version 30196 (0.0010) -[2026-06-02 22:53:10,108][512914] Fps is (10 sec: 16384.0, 60 sec: 18295.5, 300 sec: 18438.9). Total num frames: 15466496. Throughput: 0: 18409.2. Samples: 15473664. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 22:53:10,109][512914] Avg episode reward: [(0, '6156.550')] -[2026-06-02 22:53:10,495][513861] Updated weights for policy 0, policy_version 30258 (0.0010) -[2026-06-02 22:53:12,259][513861] Updated weights for policy 0, policy_version 30322 (0.0011) -[2026-06-02 22:53:14,008][513861] Updated weights for policy 0, policy_version 30386 (0.0010) -[2026-06-02 22:53:15,108][512914] Fps is (10 sec: 18022.5, 60 sec: 18568.6, 300 sec: 18438.9). Total num frames: 15564800. Throughput: 0: 18500.3. Samples: 15587328. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 22:53:15,109][512914] Avg episode reward: [(0, '6314.850')] -[2026-06-02 22:53:15,859][513861] Updated weights for policy 0, policy_version 30450 (0.0010) -[2026-06-02 22:53:17,453][513861] Updated weights for policy 0, policy_version 30496 (0.0009) -[2026-06-02 22:53:19,402][513861] Updated weights for policy 0, policy_version 30560 (0.0010) -[2026-06-02 22:53:20,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 18494.5). Total num frames: 15663104. Throughput: 0: 18386.5. Samples: 15640064. Policy #0 lag: (min: 57.0, avg: 62.6, max: 121.0) -[2026-06-02 22:53:20,109][512914] Avg episode reward: [(0, '6337.850')] -[2026-06-02 22:53:21,006][513861] Updated weights for policy 0, policy_version 30610 (0.0009) -[2026-06-02 22:53:23,051][513861] Updated weights for policy 0, policy_version 30690 (0.0010) -[2026-06-02 22:53:24,625][513861] Updated weights for policy 0, policy_version 30738 (0.0009) -[2026-06-02 22:53:25,108][512914] Fps is (10 sec: 19660.6, 60 sec: 18568.5, 300 sec: 18550.0). Total num frames: 15761408. Throughput: 0: 18488.8. Samples: 15750656. Policy #0 lag: (min: 57.0, avg: 62.6, max: 121.0) -[2026-06-02 22:53:25,109][512914] Avg episode reward: [(0, '6506.750')] -[2026-06-02 22:53:25,112][513792] Saving new best policy, reward=6506.750! -[2026-06-02 22:53:26,231][513861] Updated weights for policy 0, policy_version 30802 (0.0010) -[2026-06-02 22:53:27,901][513861] Updated weights for policy 0, policy_version 30864 (0.0010) -[2026-06-02 22:53:29,523][513861] Updated weights for policy 0, policy_version 30914 (0.0009) -[2026-06-02 22:53:29,604][513792] Signal inference workers to stop experience collection... (1450 times) -[2026-06-02 22:53:29,634][513861] InferenceWorker_p0-w0: stopping experience collection (1450 times) -[2026-06-02 22:53:29,706][513792] Signal inference workers to resume experience collection... (1450 times) -[2026-06-02 22:53:29,707][513861] InferenceWorker_p0-w0: resuming experience collection (1450 times) -[2026-06-02 22:53:30,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 18550.0). Total num frames: 15859712. Throughput: 0: 18511.6. Samples: 15864832. Policy #0 lag: (min: 57.0, avg: 62.6, max: 121.0) -[2026-06-02 22:53:30,109][512914] Avg episode reward: [(0, '6532.050')] -[2026-06-02 22:53:30,112][513792] Saving new best policy, reward=6532.050! -[2026-06-02 22:53:31,364][513861] Updated weights for policy 0, policy_version 30992 (0.0010) -[2026-06-02 22:53:33,200][513861] Updated weights for policy 0, policy_version 31056 (0.0010) -[2026-06-02 22:53:34,926][513861] Updated weights for policy 0, policy_version 31107 (0.0009) -[2026-06-02 22:53:35,108][512914] Fps is (10 sec: 17203.5, 60 sec: 18295.5, 300 sec: 18466.7). Total num frames: 15933440. Throughput: 0: 18557.2. Samples: 15921664. Policy #0 lag: (min: 57.0, avg: 62.6, max: 121.0) -[2026-06-02 22:53:35,108][512914] Avg episode reward: [(0, '6677.250')] -[2026-06-02 22:53:35,223][513792] Saving new best policy, reward=6677.250! -[2026-06-02 22:53:35,417][513861] Updated weights for policy 0, policy_version 31168 (0.0009) -[2026-06-02 22:53:37,287][513861] Updated weights for policy 0, policy_version 31232 (0.0010) -[2026-06-02 22:53:39,100][513861] Updated weights for policy 0, policy_version 31296 (0.0010) -[2026-06-02 22:53:40,108][512914] Fps is (10 sec: 16384.1, 60 sec: 18568.5, 300 sec: 18438.9). Total num frames: 16023552. Throughput: 0: 18397.9. Samples: 16026112. Policy #0 lag: (min: 13.0, avg: 19.4, max: 77.0) -[2026-06-02 22:53:40,108][512914] Avg episode reward: [(0, '6688.150')] -[2026-06-02 22:53:40,112][513792] Saving new best policy, reward=6688.150! -[2026-06-02 22:53:42,350][513861] Updated weights for policy 0, policy_version 31362 (0.0009) -[2026-06-02 22:53:44,164][513861] Updated weights for policy 0, policy_version 31427 (0.0009) -[2026-06-02 22:53:45,108][512914] Fps is (10 sec: 18841.5, 60 sec: 18568.5, 300 sec: 18466.7). Total num frames: 16121856. Throughput: 0: 18341.0. Samples: 16134144. Policy #0 lag: (min: 13.0, avg: 19.4, max: 77.0) -[2026-06-02 22:53:45,109][512914] Avg episode reward: [(0, '6666.250')] -[2026-06-02 22:53:46,008][513861] Updated weights for policy 0, policy_version 31490 (0.0011) -[2026-06-02 22:53:46,469][513861] Updated weights for policy 0, policy_version 31552 (0.0009) -[2026-06-02 22:53:48,273][513861] Updated weights for policy 0, policy_version 31616 (0.0009) -[2026-06-02 22:53:49,956][513861] Updated weights for policy 0, policy_version 31679 (0.0009) -[2026-06-02 22:53:50,108][512914] Fps is (10 sec: 19660.6, 60 sec: 18568.5, 300 sec: 18550.0). Total num frames: 16220160. Throughput: 0: 18284.1. Samples: 16189440. Policy #0 lag: (min: 13.0, avg: 19.4, max: 77.0) -[2026-06-02 22:53:50,109][512914] Avg episode reward: [(0, '6773.100')] -[2026-06-02 22:53:50,112][513792] Saving new best policy, reward=6773.100! -[2026-06-02 22:53:51,698][513861] Updated weights for policy 0, policy_version 31738 (0.0010) -[2026-06-02 22:53:53,518][513861] Updated weights for policy 0, policy_version 31801 (0.0009) -[2026-06-02 22:53:55,108][512914] Fps is (10 sec: 18022.4, 60 sec: 18295.5, 300 sec: 18494.5). Total num frames: 16302080. Throughput: 0: 18352.3. Samples: 16299520. Policy #0 lag: (min: 13.0, avg: 19.4, max: 77.0) -[2026-06-02 22:53:55,109][512914] Avg episode reward: [(0, '6744.250')] -[2026-06-02 22:53:55,219][513861] Updated weights for policy 0, policy_version 31862 (0.0009) -[2026-06-02 22:53:57,023][513861] Updated weights for policy 0, policy_version 31926 (0.0008) -[2026-06-02 22:53:58,847][513861] Updated weights for policy 0, policy_version 31990 (0.0010) -[2026-06-02 22:54:00,108][512914] Fps is (10 sec: 16384.0, 60 sec: 18022.4, 300 sec: 18438.9). Total num frames: 16384000. Throughput: 0: 18329.6. Samples: 16412160. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 22:54:00,109][512914] Avg episode reward: [(0, '6791.200')] -[2026-06-02 22:54:00,113][513792] Saving new best policy, reward=6791.200! -[2026-06-02 22:54:00,177][513792] Signal inference workers to stop experience collection... (1500 times) -[2026-06-02 22:54:00,205][513861] InferenceWorker_p0-w0: stopping experience collection (1500 times) -[2026-06-02 22:54:00,303][513792] Signal inference workers to resume experience collection... (1500 times) -[2026-06-02 22:54:00,304][513861] InferenceWorker_p0-w0: resuming experience collection (1500 times) -[2026-06-02 22:54:00,591][513861] Updated weights for policy 0, policy_version 32052 (0.0011) -[2026-06-02 22:54:02,243][513861] Updated weights for policy 0, policy_version 32114 (0.0010) -[2026-06-02 22:54:03,878][513861] Updated weights for policy 0, policy_version 32163 (0.0011) -[2026-06-02 22:54:05,108][512914] Fps is (10 sec: 18022.4, 60 sec: 18295.5, 300 sec: 18438.9). Total num frames: 16482304. Throughput: 0: 18397.9. Samples: 16467968. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 22:54:05,109][512914] Avg episode reward: [(0, '6715.650')] -[2026-06-02 22:54:05,656][513861] Updated weights for policy 0, policy_version 32242 (0.0010) -[2026-06-02 22:54:07,381][513861] Updated weights for policy 0, policy_version 32304 (0.0008) -[2026-06-02 22:54:09,082][513861] Updated weights for policy 0, policy_version 32368 (0.0007) -[2026-06-02 22:54:10,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 18466.7). Total num frames: 16580608. Throughput: 0: 18500.3. Samples: 16583168. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 22:54:10,109][512914] Avg episode reward: [(0, '6676.950')] -[2026-06-02 22:54:10,574][513861] Updated weights for policy 0, policy_version 32402 (0.0010) -[2026-06-02 22:54:12,287][513861] Updated weights for policy 0, policy_version 32464 (0.0011) -[2026-06-02 22:54:14,048][513861] Updated weights for policy 0, policy_version 32528 (0.0011) -[2026-06-02 22:54:15,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 18550.0). Total num frames: 16678912. Throughput: 0: 18477.5. Samples: 16696320. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 22:54:15,109][512914] Avg episode reward: [(0, '6869.350')] -[2026-06-02 22:54:15,112][513792] Saving new best policy, reward=6869.350! -[2026-06-02 22:54:15,632][513861] Updated weights for policy 0, policy_version 32578 (0.0011) -[2026-06-02 22:54:17,464][513861] Updated weights for policy 0, policy_version 32642 (0.0009) -[2026-06-02 22:54:17,924][513861] Updated weights for policy 0, policy_version 32704 (0.0008) -[2026-06-02 22:54:20,108][512914] Fps is (10 sec: 19660.9, 60 sec: 18568.5, 300 sec: 18550.0). Total num frames: 16777216. Throughput: 0: 18432.0. Samples: 16751104. Policy #0 lag: (min: 58.0, avg: 64.0, max: 122.0) -[2026-06-02 22:54:20,109][512914] Avg episode reward: [(0, '6929.050')] -[2026-06-02 22:54:20,113][513792] Saving new best policy, reward=6929.050! -[2026-06-02 22:54:20,897][513861] Updated weights for policy 0, policy_version 32769 (0.0008) -[2026-06-02 22:54:21,365][513861] Updated weights for policy 0, policy_version 32828 (0.0008) -[2026-06-02 22:54:23,125][513861] Updated weights for policy 0, policy_version 32895 (0.0010) -[2026-06-02 22:54:24,854][513861] Updated weights for policy 0, policy_version 32955 (0.0009) -[2026-06-02 22:54:25,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18568.6, 300 sec: 18550.0). Total num frames: 16875520. Throughput: 0: 18659.5. Samples: 16865792. Policy #0 lag: (min: 58.0, avg: 64.0, max: 122.0) -[2026-06-02 22:54:25,109][512914] Avg episode reward: [(0, '6644.350')] -[2026-06-02 22:54:26,468][513861] Updated weights for policy 0, policy_version 33014 (0.0009) -[2026-06-02 22:54:28,025][513792] Signal inference workers to stop experience collection... (1550 times) -[2026-06-02 22:54:28,057][513861] InferenceWorker_p0-w0: stopping experience collection (1550 times) -[2026-06-02 22:54:28,125][513792] Signal inference workers to resume experience collection... (1550 times) -[2026-06-02 22:54:28,125][513861] InferenceWorker_p0-w0: resuming experience collection (1550 times) -[2026-06-02 22:54:28,127][513861] Updated weights for policy 0, policy_version 33072 (0.0012) -[2026-06-02 22:54:29,776][513861] Updated weights for policy 0, policy_version 33136 (0.0010) -[2026-06-02 22:54:30,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 18550.0). Total num frames: 16973824. Throughput: 0: 18784.7. Samples: 16979456. Policy #0 lag: (min: 58.0, avg: 64.0, max: 122.0) -[2026-06-02 22:54:30,109][512914] Avg episode reward: [(0, '6938.750')] -[2026-06-02 22:54:30,112][513792] Saving new best policy, reward=6938.750! -[2026-06-02 22:54:31,339][513861] Updated weights for policy 0, policy_version 33184 (0.0009) -[2026-06-02 22:54:32,952][513861] Updated weights for policy 0, policy_version 33232 (0.0008) -[2026-06-02 22:54:34,719][513861] Updated weights for policy 0, policy_version 33296 (0.0005) -[2026-06-02 22:54:35,108][512914] Fps is (10 sec: 19660.9, 60 sec: 18978.1, 300 sec: 18577.8). Total num frames: 17072128. Throughput: 0: 18921.3. Samples: 17040896. Policy #0 lag: (min: 58.0, avg: 64.0, max: 122.0) -[2026-06-02 22:54:35,109][512914] Avg episode reward: [(0, '6944.950')] -[2026-06-02 22:54:35,113][513792] Saving new best policy, reward=6944.950! -[2026-06-02 22:54:36,375][513861] Updated weights for policy 0, policy_version 33360 (0.0005) -[2026-06-02 22:54:37,926][513861] Updated weights for policy 0, policy_version 33410 (0.0005) -[2026-06-02 22:54:39,817][513861] Updated weights for policy 0, policy_version 33488 (0.0006) -[2026-06-02 22:54:40,108][512914] Fps is (10 sec: 18841.6, 60 sec: 18978.1, 300 sec: 18577.8). Total num frames: 17162240. Throughput: 0: 18989.5. Samples: 17154048. Policy #0 lag: (min: 58.0, avg: 64.0, max: 122.0) -[2026-06-02 22:54:40,109][512914] Avg episode reward: [(0, '6850.600')] -[2026-06-02 22:54:41,591][513861] Updated weights for policy 0, policy_version 33552 (0.0010) -[2026-06-02 22:54:42,022][513861] Updated weights for policy 0, policy_version 33600 (0.0009) -[2026-06-02 22:54:43,579][513861] Updated weights for policy 0, policy_version 33660 (0.0010) -[2026-06-02 22:54:45,108][512914] Fps is (10 sec: 18022.5, 60 sec: 18841.6, 300 sec: 18605.6). Total num frames: 17252352. Throughput: 0: 19057.8. Samples: 17269760. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 22:54:45,108][512914] Avg episode reward: [(0, '6948.600')] -[2026-06-02 22:54:45,292][513861] Updated weights for policy 0, policy_version 33727 (0.0008) -[2026-06-02 22:54:45,294][513792] Saving new best policy, reward=6948.600! -[2026-06-02 22:54:47,010][513861] Updated weights for policy 0, policy_version 33789 (0.0007) -[2026-06-02 22:54:48,621][513861] Updated weights for policy 0, policy_version 33846 (0.0007) -[2026-06-02 22:54:50,108][512914] Fps is (10 sec: 18841.5, 60 sec: 18841.6, 300 sec: 18605.6). Total num frames: 17350656. Throughput: 0: 19091.9. Samples: 17327104. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 22:54:50,109][512914] Avg episode reward: [(0, '7001.350')] -[2026-06-02 22:54:50,236][513861] Updated weights for policy 0, policy_version 33910 (0.0007) -[2026-06-02 22:54:50,324][513792] Saving new best policy, reward=7001.350! -[2026-06-02 22:54:51,873][513861] Updated weights for policy 0, policy_version 33974 (0.0008) -[2026-06-02 22:54:53,522][513861] Updated weights for policy 0, policy_version 34032 (0.0009) -[2026-06-02 22:54:55,108][512914] Fps is (10 sec: 19660.7, 60 sec: 19114.7, 300 sec: 18605.6). Total num frames: 17448960. Throughput: 0: 19114.7. Samples: 17443328. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 22:54:55,109][512914] Avg episode reward: [(0, '6850.350')] -[2026-06-02 22:54:55,188][513861] Updated weights for policy 0, policy_version 34096 (0.0009) -[2026-06-02 22:54:56,766][513792] Signal inference workers to stop experience collection... (1600 times) -[2026-06-02 22:54:56,793][513861] InferenceWorker_p0-w0: stopping experience collection (1600 times) -[2026-06-02 22:54:56,859][513792] Signal inference workers to resume experience collection... (1600 times) -[2026-06-02 22:54:56,859][513861] InferenceWorker_p0-w0: resuming experience collection (1600 times) -[2026-06-02 22:54:57,000][513861] Updated weights for policy 0, policy_version 34163 (0.0010) -[2026-06-02 22:54:58,979][513861] Updated weights for policy 0, policy_version 34240 (0.0009) -[2026-06-02 22:55:00,108][512914] Fps is (10 sec: 18022.5, 60 sec: 19114.7, 300 sec: 18550.0). Total num frames: 17530880. Throughput: 0: 19114.7. Samples: 17556480. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 22:55:00,108][512914] Avg episode reward: [(0, '7088.350')] -[2026-06-02 22:55:00,111][513792] Saving new best policy, reward=7088.350! -[2026-06-02 22:55:00,803][513861] Updated weights for policy 0, policy_version 34304 (0.0009) -[2026-06-02 22:55:02,555][513861] Updated weights for policy 0, policy_version 34368 (0.0010) -[2026-06-02 22:55:04,392][513861] Updated weights for policy 0, policy_version 34432 (0.0009) -[2026-06-02 22:55:05,108][512914] Fps is (10 sec: 18022.5, 60 sec: 19114.7, 300 sec: 18577.8). Total num frames: 17629184. Throughput: 0: 19091.9. Samples: 17610240. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 22:55:05,108][512914] Avg episode reward: [(0, '7246.950')] -[2026-06-02 22:55:05,111][513792] Saving new best policy, reward=7246.950! -[2026-06-02 22:55:06,141][513861] Updated weights for policy 0, policy_version 34496 (0.0007) -[2026-06-02 22:55:09,194][513861] Updated weights for policy 0, policy_version 34562 (0.0010) -[2026-06-02 22:55:10,108][512914] Fps is (10 sec: 19660.8, 60 sec: 19114.7, 300 sec: 18633.3). Total num frames: 17727488. Throughput: 0: 19057.8. Samples: 17723392. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 22:55:10,109][512914] Avg episode reward: [(0, '7234.500')] -[2026-06-02 22:55:11,091][513861] Updated weights for policy 0, policy_version 34642 (0.0010) -[2026-06-02 22:55:12,840][513861] Updated weights for policy 0, policy_version 34720 (0.0008) -[2026-06-02 22:55:14,543][513861] Updated weights for policy 0, policy_version 34771 (0.0007) -[2026-06-02 22:55:15,108][512914] Fps is (10 sec: 19660.7, 60 sec: 19114.7, 300 sec: 18661.1). Total num frames: 17825792. Throughput: 0: 18978.1. Samples: 17833472. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 22:55:15,109][512914] Avg episode reward: [(0, '7401.750')] -[2026-06-02 22:55:15,113][513792] Saving new best policy, reward=7401.750! -[2026-06-02 22:55:16,291][513861] Updated weights for policy 0, policy_version 34834 (0.0010) -[2026-06-02 22:55:18,160][513861] Updated weights for policy 0, policy_version 34912 (0.0008) -[2026-06-02 22:55:20,014][513861] Updated weights for policy 0, policy_version 34962 (0.0009) -[2026-06-02 22:55:20,108][512914] Fps is (10 sec: 18022.1, 60 sec: 18841.6, 300 sec: 18605.6). Total num frames: 17907712. Throughput: 0: 18909.8. Samples: 17891840. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 22:55:20,110][512914] Avg episode reward: [(0, '7586.850')] -[2026-06-02 22:55:20,355][513792] Saving new best policy, reward=7586.850! -[2026-06-02 22:55:21,678][513861] Updated weights for policy 0, policy_version 35024 (0.0010) -[2026-06-02 22:55:23,473][513861] Updated weights for policy 0, policy_version 35074 (0.0010) -[2026-06-02 22:55:23,926][513861] Updated weights for policy 0, policy_version 35134 (0.0009) -[2026-06-02 22:55:25,108][512914] Fps is (10 sec: 16384.0, 60 sec: 18568.5, 300 sec: 18550.0). Total num frames: 17989632. Throughput: 0: 18716.4. Samples: 17996288. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 22:55:25,109][512914] Avg episode reward: [(0, '7583.650')] -[2026-06-02 22:55:25,555][513861] Updated weights for policy 0, policy_version 35192 (0.0010) -[2026-06-02 22:55:26,903][513792] Signal inference workers to stop experience collection... (1650 times) -[2026-06-02 22:55:26,928][513861] InferenceWorker_p0-w0: stopping experience collection (1650 times) -[2026-06-02 22:55:27,022][513792] Signal inference workers to resume experience collection... (1650 times) -[2026-06-02 22:55:27,023][513861] InferenceWorker_p0-w0: resuming experience collection (1650 times) -[2026-06-02 22:55:27,264][513861] Updated weights for policy 0, policy_version 35252 (0.0011) -[2026-06-02 22:55:29,071][513861] Updated weights for policy 0, policy_version 35326 (0.0010) -[2026-06-02 22:55:30,108][512914] Fps is (10 sec: 18022.6, 60 sec: 18568.5, 300 sec: 18577.8). Total num frames: 18087936. Throughput: 0: 18716.4. Samples: 18112000. Policy #0 lag: (min: 15.0, avg: 21.8, max: 79.0) -[2026-06-02 22:55:30,109][512914] Avg episode reward: [(0, '7370.200')] -[2026-06-02 22:55:32,139][513861] Updated weights for policy 0, policy_version 35408 (0.0010) -[2026-06-02 22:55:34,098][513861] Updated weights for policy 0, policy_version 35504 (0.0011) -[2026-06-02 22:55:35,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 18577.8). Total num frames: 18186240. Throughput: 0: 18705.1. Samples: 18168832. Policy #0 lag: (min: 15.0, avg: 21.8, max: 79.0) -[2026-06-02 22:55:35,109][512914] Avg episode reward: [(0, '7499.800')] -[2026-06-02 22:55:35,874][513861] Updated weights for policy 0, policy_version 35568 (0.0010) -[2026-06-02 22:55:37,654][513861] Updated weights for policy 0, policy_version 35632 (0.0009) -[2026-06-02 22:55:39,464][513861] Updated weights for policy 0, policy_version 35698 (0.0010) -[2026-06-02 22:55:40,108][512914] Fps is (10 sec: 19660.9, 60 sec: 18705.1, 300 sec: 18661.1). Total num frames: 18284544. Throughput: 0: 18625.4. Samples: 18281472. Policy #0 lag: (min: 15.0, avg: 21.8, max: 79.0) -[2026-06-02 22:55:40,109][512914] Avg episode reward: [(0, '7416.350')] -[2026-06-02 22:55:41,222][513861] Updated weights for policy 0, policy_version 35762 (0.0010) -[2026-06-02 22:55:42,902][513861] Updated weights for policy 0, policy_version 35827 (0.0010) -[2026-06-02 22:55:44,536][513861] Updated weights for policy 0, policy_version 35888 (0.0010) -[2026-06-02 22:55:45,108][512914] Fps is (10 sec: 19660.6, 60 sec: 18841.6, 300 sec: 18661.1). Total num frames: 18382848. Throughput: 0: 18625.4. Samples: 18394624. Policy #0 lag: (min: 15.0, avg: 21.8, max: 79.0) -[2026-06-02 22:55:45,109][512914] Avg episode reward: [(0, '7476.150')] -[2026-06-02 22:55:46,317][513861] Updated weights for policy 0, policy_version 35959 (0.0010) -[2026-06-02 22:55:47,994][513861] Updated weights for policy 0, policy_version 36018 (0.0007) -[2026-06-02 22:55:49,556][513861] Updated weights for policy 0, policy_version 36066 (0.0008) -[2026-06-02 22:55:50,108][512914] Fps is (10 sec: 19660.5, 60 sec: 18841.6, 300 sec: 18661.1). Total num frames: 18481152. Throughput: 0: 18693.6. Samples: 18451456. Policy #0 lag: (min: 15.0, avg: 21.8, max: 79.0) -[2026-06-02 22:55:50,109][512914] Avg episode reward: [(0, '7530.800')] -[2026-06-02 22:55:51,385][513861] Updated weights for policy 0, policy_version 36131 (0.0010) -[2026-06-02 22:55:53,197][513861] Updated weights for policy 0, policy_version 36208 (0.0011) -[2026-06-02 22:55:54,753][513792] Signal inference workers to stop experience collection... (1700 times) -[2026-06-02 22:55:54,756][513861] Updated weights for policy 0, policy_version 36256 (0.0011) -[2026-06-02 22:55:54,779][513861] InferenceWorker_p0-w0: stopping experience collection (1700 times) -[2026-06-02 22:55:54,854][513792] Signal inference workers to resume experience collection... (1700 times) -[2026-06-02 22:55:54,855][513861] InferenceWorker_p0-w0: resuming experience collection (1700 times) -[2026-06-02 22:55:55,108][512914] Fps is (10 sec: 19661.0, 60 sec: 18841.6, 300 sec: 18661.1). Total num frames: 18579456. Throughput: 0: 18716.4. Samples: 18565632. Policy #0 lag: (min: 0.0, avg: 5.2, max: 64.0) -[2026-06-02 22:55:55,109][512914] Avg episode reward: [(0, '7456.550')] -[2026-06-02 22:55:56,455][513861] Updated weights for policy 0, policy_version 36304 (0.0010) -[2026-06-02 22:55:58,062][513861] Updated weights for policy 0, policy_version 36354 (0.0010) -[2026-06-02 22:55:59,926][513861] Updated weights for policy 0, policy_version 36434 (0.0011) -[2026-06-02 22:56:00,108][512914] Fps is (10 sec: 18841.7, 60 sec: 18978.1, 300 sec: 18716.6). Total num frames: 18669568. Throughput: 0: 18807.5. Samples: 18679808. Policy #0 lag: (min: 0.0, avg: 5.2, max: 64.0) -[2026-06-02 22:56:00,109][512914] Avg episode reward: [(0, '7582.400')] -[2026-06-02 22:56:01,752][513861] Updated weights for policy 0, policy_version 36498 (0.0010) -[2026-06-02 22:56:03,452][513861] Updated weights for policy 0, policy_version 36560 (0.0011) -[2026-06-02 22:56:05,108][512914] Fps is (10 sec: 16383.8, 60 sec: 18568.5, 300 sec: 18661.1). Total num frames: 18743296. Throughput: 0: 18750.6. Samples: 18735616. Policy #0 lag: (min: 0.0, avg: 5.2, max: 64.0) -[2026-06-02 22:56:05,109][512914] Avg episode reward: [(0, '7662.700')] -[2026-06-02 22:56:05,212][513861] Updated weights for policy 0, policy_version 36626 (0.0010) -[2026-06-02 22:56:05,283][513792] Saving new best policy, reward=7662.700! -[2026-06-02 22:56:06,980][513861] Updated weights for policy 0, policy_version 36704 (0.0010) -[2026-06-02 22:56:08,673][513861] Updated weights for policy 0, policy_version 36754 (0.0010) -[2026-06-02 22:56:10,108][512914] Fps is (10 sec: 17203.2, 60 sec: 18568.5, 300 sec: 18661.1). Total num frames: 18841600. Throughput: 0: 18909.8. Samples: 18847232. Policy #0 lag: (min: 0.0, avg: 5.2, max: 64.0) -[2026-06-02 22:56:10,109][512914] Avg episode reward: [(0, '7684.400')] -[2026-06-02 22:56:10,146][513861] Updated weights for policy 0, policy_version 36802 (0.0010) -[2026-06-02 22:56:10,354][513792] Saving new best policy, reward=7684.400! -[2026-06-02 22:56:11,928][513861] Updated weights for policy 0, policy_version 36866 (0.0010) -[2026-06-02 22:56:13,653][513861] Updated weights for policy 0, policy_version 36944 (0.0010) -[2026-06-02 22:56:14,044][513861] Updated weights for policy 0, policy_version 36992 (0.0009) -[2026-06-02 22:56:15,108][512914] Fps is (10 sec: 19661.1, 60 sec: 18568.5, 300 sec: 18661.1). Total num frames: 18939904. Throughput: 0: 18955.4. Samples: 18964992. Policy #0 lag: (min: 0.0, avg: 5.2, max: 64.0) -[2026-06-02 22:56:15,109][512914] Avg episode reward: [(0, '7729.250')] -[2026-06-02 22:56:15,113][513792] Saving new best policy, reward=7729.250! -[2026-06-02 22:56:17,187][513861] Updated weights for policy 0, policy_version 37072 (0.0010) -[2026-06-02 22:56:19,025][513861] Updated weights for policy 0, policy_version 37138 (0.0008) -[2026-06-02 22:56:20,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18841.6, 300 sec: 18661.1). Total num frames: 19038208. Throughput: 0: 18887.1. Samples: 19018752. Policy #0 lag: (min: 13.0, avg: 18.8, max: 77.0) -[2026-06-02 22:56:20,109][512914] Avg episode reward: [(0, '7800.250')] -[2026-06-02 22:56:20,113][513792] Saving new best policy, reward=7800.250! -[2026-06-02 22:56:20,667][513861] Updated weights for policy 0, policy_version 37185 (0.0005) -[2026-06-02 22:56:21,130][513861] Updated weights for policy 0, policy_version 37246 (0.0006) -[2026-06-02 22:56:22,730][513861] Updated weights for policy 0, policy_version 37308 (0.0005) -[2026-06-02 22:56:24,129][513792] Signal inference workers to stop experience collection... (1750 times) -[2026-06-02 22:56:24,158][513861] InferenceWorker_p0-w0: stopping experience collection (1750 times) -[2026-06-02 22:56:24,246][513792] Signal inference workers to resume experience collection... (1750 times) -[2026-06-02 22:56:24,247][513861] InferenceWorker_p0-w0: resuming experience collection (1750 times) -[2026-06-02 22:56:24,471][513861] Updated weights for policy 0, policy_version 37369 (0.0009) -[2026-06-02 22:56:25,108][512914] Fps is (10 sec: 19660.5, 60 sec: 19114.6, 300 sec: 18661.1). Total num frames: 19136512. Throughput: 0: 18978.1. Samples: 19135488. Policy #0 lag: (min: 13.0, avg: 18.8, max: 77.0) -[2026-06-02 22:56:25,111][512914] Avg episode reward: [(0, '7900.050')] -[2026-06-02 22:56:25,115][513792] Saving new best policy, reward=7900.050! -[2026-06-02 22:56:26,134][513861] Updated weights for policy 0, policy_version 37428 (0.0009) -[2026-06-02 22:56:27,843][513861] Updated weights for policy 0, policy_version 37490 (0.0006) -[2026-06-02 22:56:29,621][513861] Updated weights for policy 0, policy_version 37554 (0.0005) -[2026-06-02 22:56:30,108][512914] Fps is (10 sec: 19660.9, 60 sec: 19114.7, 300 sec: 18688.9). Total num frames: 19234816. Throughput: 0: 18875.8. Samples: 19244032. Policy #0 lag: (min: 13.0, avg: 18.8, max: 77.0) -[2026-06-02 22:56:30,109][512914] Avg episode reward: [(0, '7995.150')] -[2026-06-02 22:56:30,113][513792] Saving new best policy, reward=7995.150! -[2026-06-02 22:56:31,327][513861] Updated weights for policy 0, policy_version 37602 (0.0007) -[2026-06-02 22:56:33,161][513861] Updated weights for policy 0, policy_version 37680 (0.0010) -[2026-06-02 22:56:34,722][513861] Updated weights for policy 0, policy_version 37728 (0.0010) -[2026-06-02 22:56:35,108][512914] Fps is (10 sec: 19660.8, 60 sec: 19114.6, 300 sec: 18688.9). Total num frames: 19333120. Throughput: 0: 18898.5. Samples: 19301888. Policy #0 lag: (min: 13.0, avg: 18.8, max: 77.0) -[2026-06-02 22:56:35,109][512914] Avg episode reward: [(0, '7905.600')] -[2026-06-02 22:56:36,615][513861] Updated weights for policy 0, policy_version 37794 (0.0011) -[2026-06-02 22:56:38,341][513861] Updated weights for policy 0, policy_version 37856 (0.0011) -[2026-06-02 22:56:40,053][513861] Updated weights for policy 0, policy_version 37920 (0.0010) -[2026-06-02 22:56:40,108][512914] Fps is (10 sec: 18022.4, 60 sec: 18841.6, 300 sec: 18716.6). Total num frames: 19415040. Throughput: 0: 18807.5. Samples: 19411968. Policy #0 lag: (min: 14.0, avg: 19.4, max: 78.0) -[2026-06-02 22:56:40,109][512914] Avg episode reward: [(0, '7970.050')] -[2026-06-02 22:56:41,762][513861] Updated weights for policy 0, policy_version 37984 (0.0010) -[2026-06-02 22:56:43,432][513861] Updated weights for policy 0, policy_version 38032 (0.0010) -[2026-06-02 22:56:43,823][513861] Updated weights for policy 0, policy_version 38080 (0.0010) -[2026-06-02 22:56:45,108][512914] Fps is (10 sec: 16384.1, 60 sec: 18568.6, 300 sec: 18661.1). Total num frames: 19496960. Throughput: 0: 18818.9. Samples: 19526656. Policy #0 lag: (min: 14.0, avg: 19.4, max: 78.0) -[2026-06-02 22:56:45,109][512914] Avg episode reward: [(0, '8010.350')] -[2026-06-02 22:56:45,336][513792] Saving new best policy, reward=8010.350! -[2026-06-02 22:56:45,648][513861] Updated weights for policy 0, policy_version 38144 (0.0010) -[2026-06-02 22:56:48,782][513861] Updated weights for policy 0, policy_version 38224 (0.0010) -[2026-06-02 22:56:50,108][512914] Fps is (10 sec: 18022.4, 60 sec: 18568.6, 300 sec: 18661.1). Total num frames: 19595264. Throughput: 0: 18773.4. Samples: 19580416. Policy #0 lag: (min: 14.0, avg: 19.4, max: 78.0) -[2026-06-02 22:56:50,109][512914] Avg episode reward: [(0, '7858.250')] -[2026-06-02 22:56:50,603][513861] Updated weights for policy 0, policy_version 38290 (0.0010) -[2026-06-02 22:56:52,340][513861] Updated weights for policy 0, policy_version 38352 (0.0010) -[2026-06-02 22:56:53,989][513792] Signal inference workers to stop experience collection... (1800 times) -[2026-06-02 22:56:54,033][513861] Updated weights for policy 0, policy_version 38402 (0.0010) -[2026-06-02 22:56:54,036][513861] InferenceWorker_p0-w0: stopping experience collection (1800 times) -[2026-06-02 22:56:54,118][513792] Signal inference workers to resume experience collection... (1800 times) -[2026-06-02 22:56:54,118][513861] InferenceWorker_p0-w0: resuming experience collection (1800 times) -[2026-06-02 22:56:54,529][513861] Updated weights for policy 0, policy_version 38464 (0.0010) -[2026-06-02 22:56:55,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 18661.1). Total num frames: 19693568. Throughput: 0: 18784.7. Samples: 19692544. Policy #0 lag: (min: 14.0, avg: 19.4, max: 78.0) -[2026-06-02 22:56:55,109][512914] Avg episode reward: [(0, '7469.500')] -[2026-06-02 22:56:56,263][513861] Updated weights for policy 0, policy_version 38528 (0.0006) -[2026-06-02 22:56:57,922][513861] Updated weights for policy 0, policy_version 38588 (0.0010) -[2026-06-02 22:56:59,628][513861] Updated weights for policy 0, policy_version 38648 (0.0010) -[2026-06-02 22:57:00,108][512914] Fps is (10 sec: 19660.5, 60 sec: 18705.0, 300 sec: 18661.1). Total num frames: 19791872. Throughput: 0: 18614.0. Samples: 19802624. Policy #0 lag: (min: 14.0, avg: 19.4, max: 78.0) -[2026-06-02 22:57:00,111][512914] Avg episode reward: [(0, '7544.300')] -[2026-06-02 22:57:01,317][513861] Updated weights for policy 0, policy_version 38711 (0.0010) -[2026-06-02 22:57:03,072][513861] Updated weights for policy 0, policy_version 38772 (0.0009) -[2026-06-02 22:57:04,816][513861] Updated weights for policy 0, policy_version 38832 (0.0010) -[2026-06-02 22:57:05,108][512914] Fps is (10 sec: 19660.8, 60 sec: 19114.7, 300 sec: 18716.6). Total num frames: 19890176. Throughput: 0: 18705.1. Samples: 19860480. Policy #0 lag: (min: 15.0, avg: 21.4, max: 79.0) -[2026-06-02 22:57:05,109][512914] Avg episode reward: [(0, '7492.000')] -[2026-06-02 22:57:06,458][513861] Updated weights for policy 0, policy_version 38882 (0.0008) -[2026-06-02 22:57:08,194][513861] Updated weights for policy 0, policy_version 38946 (0.0011) -[2026-06-02 22:57:09,898][513861] Updated weights for policy 0, policy_version 39010 (0.0009) -[2026-06-02 22:57:10,108][512914] Fps is (10 sec: 18841.7, 60 sec: 18978.1, 300 sec: 18744.4). Total num frames: 19980288. Throughput: 0: 18614.1. Samples: 19973120. Policy #0 lag: (min: 15.0, avg: 21.4, max: 79.0) -[2026-06-02 22:57:10,109][512914] Avg episode reward: [(0, '7449.000')] -[2026-06-02 22:57:11,728][513861] Updated weights for policy 0, policy_version 39088 (0.0011) -[2026-06-02 22:57:13,357][513861] Updated weights for policy 0, policy_version 39138 (0.0009) -[2026-06-02 22:57:15,083][513861] Updated weights for policy 0, policy_version 39216 (0.0009) -[2026-06-02 22:57:15,108][512914] Fps is (10 sec: 18841.7, 60 sec: 18978.1, 300 sec: 18744.4). Total num frames: 20078592. Throughput: 0: 18773.3. Samples: 20088832. Policy #0 lag: (min: 15.0, avg: 21.4, max: 79.0) -[2026-06-02 22:57:15,109][512914] Avg episode reward: [(0, '7810.800')] -[2026-06-02 22:57:16,847][513861] Updated weights for policy 0, policy_version 39280 (0.0009) -[2026-06-02 22:57:18,495][513861] Updated weights for policy 0, policy_version 39328 (0.0009) -[2026-06-02 22:57:20,074][513861] Updated weights for policy 0, policy_version 39376 (0.0009) -[2026-06-02 22:57:20,108][512914] Fps is (10 sec: 18022.6, 60 sec: 18705.1, 300 sec: 18688.9). Total num frames: 20160512. Throughput: 0: 18739.2. Samples: 20145152. Policy #0 lag: (min: 15.0, avg: 21.4, max: 79.0) -[2026-06-02 22:57:20,109][512914] Avg episode reward: [(0, '8028.200')] -[2026-06-02 22:57:20,311][513792] Saving new best policy, reward=8028.200! -[2026-06-02 22:57:21,839][513861] Updated weights for policy 0, policy_version 39440 (0.0009) -[2026-06-02 22:57:21,955][513792] Signal inference workers to stop experience collection... (1850 times) -[2026-06-02 22:57:21,985][513861] InferenceWorker_p0-w0: stopping experience collection (1850 times) -[2026-06-02 22:57:22,074][513792] Signal inference workers to resume experience collection... (1850 times) -[2026-06-02 22:57:22,074][513861] InferenceWorker_p0-w0: resuming experience collection (1850 times) -[2026-06-02 22:57:22,264][513861] Updated weights for policy 0, policy_version 39488 (0.0009) -[2026-06-02 22:57:25,109][512914] Fps is (10 sec: 17202.9, 60 sec: 18568.5, 300 sec: 18661.1). Total num frames: 20250624. Throughput: 0: 18739.2. Samples: 20255232. Policy #0 lag: (min: 15.0, avg: 21.4, max: 79.0) -[2026-06-02 22:57:25,111][512914] Avg episode reward: [(0, '7891.300')] -[2026-06-02 22:57:25,338][513861] Updated weights for policy 0, policy_version 39568 (0.0010) -[2026-06-02 22:57:27,083][513861] Updated weights for policy 0, policy_version 39632 (0.0010) -[2026-06-02 22:57:28,963][513861] Updated weights for policy 0, policy_version 39696 (0.0009) -[2026-06-02 22:57:29,387][513861] Updated weights for policy 0, policy_version 39744 (0.0010) -[2026-06-02 22:57:30,108][512914] Fps is (10 sec: 18841.5, 60 sec: 18568.5, 300 sec: 18688.9). Total num frames: 20348928. Throughput: 0: 18682.3. Samples: 20367360. Policy #0 lag: (min: 15.0, avg: 21.4, max: 79.0) -[2026-06-02 22:57:30,109][512914] Avg episode reward: [(0, '8002.350')] -[2026-06-02 22:57:31,112][513861] Updated weights for policy 0, policy_version 39808 (0.0009) -[2026-06-02 22:57:32,935][513861] Updated weights for policy 0, policy_version 39868 (0.0009) -[2026-06-02 22:57:34,659][513861] Updated weights for policy 0, policy_version 39926 (0.0010) -[2026-06-02 22:57:35,108][512914] Fps is (10 sec: 19661.1, 60 sec: 18568.6, 300 sec: 18772.2). Total num frames: 20447232. Throughput: 0: 18659.6. Samples: 20420096. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 22:57:35,109][512914] Avg episode reward: [(0, '8125.350')] -[2026-06-02 22:57:35,113][513792] Saving new best policy, reward=8125.350! -[2026-06-02 22:57:36,538][513861] Updated weights for policy 0, policy_version 39986 (0.0010) -[2026-06-02 22:57:38,200][513861] Updated weights for policy 0, policy_version 40048 (0.0010) -[2026-06-02 22:57:39,959][513861] Updated weights for policy 0, policy_version 40112 (0.0010) -[2026-06-02 22:57:40,108][512914] Fps is (10 sec: 18841.7, 60 sec: 18705.1, 300 sec: 18744.4). Total num frames: 20537344. Throughput: 0: 18614.0. Samples: 20530176. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 22:57:40,109][512914] Avg episode reward: [(0, '8294.600')] -[2026-06-02 22:57:40,121][513792] Saving new best policy, reward=8294.600! -[2026-06-02 22:57:41,816][513861] Updated weights for policy 0, policy_version 40176 (0.0010) -[2026-06-02 22:57:43,603][513861] Updated weights for policy 0, policy_version 40240 (0.0009) -[2026-06-02 22:57:45,108][512914] Fps is (10 sec: 17203.3, 60 sec: 18705.1, 300 sec: 18688.9). Total num frames: 20619264. Throughput: 0: 18693.8. Samples: 20643840. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 22:57:45,109][512914] Avg episode reward: [(0, '8183.300')] -[2026-06-02 22:57:45,353][513861] Updated weights for policy 0, policy_version 40308 (0.0010) -[2026-06-02 22:57:47,052][513861] Updated weights for policy 0, policy_version 40368 (0.0010) -[2026-06-02 22:57:48,840][513861] Updated weights for policy 0, policy_version 40432 (0.0010) -[2026-06-02 22:57:50,108][512914] Fps is (10 sec: 17203.1, 60 sec: 18568.5, 300 sec: 18661.1). Total num frames: 20709376. Throughput: 0: 18625.4. Samples: 20698624. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 22:57:50,109][512914] Avg episode reward: [(0, '8183.400')] -[2026-06-02 22:57:50,114][513792] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride4_seed13/checkpoint_p0/checkpoint_000040448_20709376.pth... -[2026-06-02 22:57:50,592][513861] Updated weights for policy 0, policy_version 40503 (0.0010) -[2026-06-02 22:57:52,054][513792] Signal inference workers to stop experience collection... (1900 times) -[2026-06-02 22:57:52,081][513861] InferenceWorker_p0-w0: stopping experience collection (1900 times) -[2026-06-02 22:57:52,157][513792] Signal inference workers to resume experience collection... (1900 times) -[2026-06-02 22:57:52,158][513861] InferenceWorker_p0-w0: resuming experience collection (1900 times) -[2026-06-02 22:57:52,344][513861] Updated weights for policy 0, policy_version 40567 (0.0010) -[2026-06-02 22:57:54,064][513861] Updated weights for policy 0, policy_version 40630 (0.0011) -[2026-06-02 22:57:55,108][512914] Fps is (10 sec: 18841.6, 60 sec: 18568.5, 300 sec: 18661.1). Total num frames: 20807680. Throughput: 0: 18602.7. Samples: 20810240. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 22:57:55,109][512914] Avg episode reward: [(0, '8093.500')] -[2026-06-02 22:57:55,743][513861] Updated weights for policy 0, policy_version 40694 (0.0006) -[2026-06-02 22:57:57,437][513861] Updated weights for policy 0, policy_version 40739 (0.0007) -[2026-06-02 22:57:58,977][513861] Updated weights for policy 0, policy_version 40787 (0.0009) -[2026-06-02 22:58:00,108][512914] Fps is (10 sec: 19661.0, 60 sec: 18568.6, 300 sec: 18716.6). Total num frames: 20905984. Throughput: 0: 18602.7. Samples: 20925952. Policy #0 lag: (min: 3.0, avg: 8.4, max: 67.0) -[2026-06-02 22:58:00,109][512914] Avg episode reward: [(0, '8062.850')] -[2026-06-02 22:58:00,607][513861] Updated weights for policy 0, policy_version 40848 (0.0008) -[2026-06-02 22:58:02,219][513861] Updated weights for policy 0, policy_version 40898 (0.0004) -[2026-06-02 22:58:02,719][513861] Updated weights for policy 0, policy_version 40960 (0.0006) -[2026-06-02 22:58:04,376][513861] Updated weights for policy 0, policy_version 41024 (0.0006) -[2026-06-02 22:58:05,108][512914] Fps is (10 sec: 19660.5, 60 sec: 18568.5, 300 sec: 18772.2). Total num frames: 21004288. Throughput: 0: 18625.4. Samples: 20983296. Policy #0 lag: (min: 3.0, avg: 8.4, max: 67.0) -[2026-06-02 22:58:05,109][512914] Avg episode reward: [(0, '8230.300')] -[2026-06-02 22:58:06,059][513861] Updated weights for policy 0, policy_version 41083 (0.0008) -[2026-06-02 22:58:07,815][513861] Updated weights for policy 0, policy_version 41142 (0.0006) -[2026-06-02 22:58:09,380][513861] Updated weights for policy 0, policy_version 41205 (0.0008) -[2026-06-02 22:58:10,108][512914] Fps is (10 sec: 19660.7, 60 sec: 18705.1, 300 sec: 18772.2). Total num frames: 21102592. Throughput: 0: 18818.9. Samples: 21102080. Policy #0 lag: (min: 3.0, avg: 8.4, max: 67.0) -[2026-06-02 22:58:10,109][512914] Avg episode reward: [(0, '8017.250')] -[2026-06-02 22:58:11,199][513861] Updated weights for policy 0, policy_version 41280 (0.0010) -[2026-06-02 22:58:12,825][513861] Updated weights for policy 0, policy_version 41340 (0.0010) -[2026-06-02 22:58:14,548][513861] Updated weights for policy 0, policy_version 41400 (0.0011) -[2026-06-02 22:58:15,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18705.0, 300 sec: 18772.2). Total num frames: 21200896. Throughput: 0: 18830.2. Samples: 21214720. Policy #0 lag: (min: 3.0, avg: 8.4, max: 67.0) -[2026-06-02 22:58:15,109][512914] Avg episode reward: [(0, '8178.800')] -[2026-06-02 22:58:16,225][513861] Updated weights for policy 0, policy_version 41470 (0.0009) -[2026-06-02 22:58:17,973][513861] Updated weights for policy 0, policy_version 41532 (0.0009) -[2026-06-02 22:58:19,717][513861] Updated weights for policy 0, policy_version 41588 (0.0009) -[2026-06-02 22:58:20,108][512914] Fps is (10 sec: 19660.9, 60 sec: 18978.1, 300 sec: 18772.2). Total num frames: 21299200. Throughput: 0: 18909.9. Samples: 21271040. Policy #0 lag: (min: 3.0, avg: 8.4, max: 67.0) -[2026-06-02 22:58:20,109][512914] Avg episode reward: [(0, '8221.950')] -[2026-06-02 22:58:21,033][513792] Signal inference workers to stop experience collection... (1950 times) -[2026-06-02 22:58:21,057][513861] InferenceWorker_p0-w0: stopping experience collection (1950 times) -[2026-06-02 22:58:21,159][513792] Signal inference workers to resume experience collection... (1950 times) -[2026-06-02 22:58:21,159][513861] InferenceWorker_p0-w0: resuming experience collection (1950 times) -[2026-06-02 22:58:21,485][513861] Updated weights for policy 0, policy_version 41656 (0.0011) -[2026-06-02 22:58:23,170][513861] Updated weights for policy 0, policy_version 41724 (0.0006) -[2026-06-02 22:58:24,980][513861] Updated weights for policy 0, policy_version 41784 (0.0010) -[2026-06-02 22:58:25,108][512914] Fps is (10 sec: 19661.1, 60 sec: 19114.7, 300 sec: 18772.2). Total num frames: 21397504. Throughput: 0: 19023.7. Samples: 21386240. Policy #0 lag: (min: 3.0, avg: 8.2, max: 67.0) -[2026-06-02 22:58:25,109][512914] Avg episode reward: [(0, '8093.050')] -[2026-06-02 22:58:26,708][513861] Updated weights for policy 0, policy_version 41849 (0.0010) -[2026-06-02 22:58:28,672][513861] Updated weights for policy 0, policy_version 41914 (0.0010) -[2026-06-02 22:58:30,108][512914] Fps is (10 sec: 17203.2, 60 sec: 18705.1, 300 sec: 18772.2). Total num frames: 21471232. Throughput: 0: 18921.2. Samples: 21495296. Policy #0 lag: (min: 3.0, avg: 8.2, max: 67.0) -[2026-06-02 22:58:30,109][512914] Avg episode reward: [(0, '8084.800')] -[2026-06-02 22:58:30,380][513861] Updated weights for policy 0, policy_version 41972 (0.0009) -[2026-06-02 22:58:32,137][513861] Updated weights for policy 0, policy_version 42034 (0.0010) -[2026-06-02 22:58:33,861][513861] Updated weights for policy 0, policy_version 42096 (0.0010) -[2026-06-02 22:58:35,108][512914] Fps is (10 sec: 16383.9, 60 sec: 18568.5, 300 sec: 18772.2). Total num frames: 21561344. Throughput: 0: 18909.9. Samples: 21549568. Policy #0 lag: (min: 3.0, avg: 8.2, max: 67.0) -[2026-06-02 22:58:35,109][512914] Avg episode reward: [(0, '8254.350')] -[2026-06-02 22:58:35,538][513861] Updated weights for policy 0, policy_version 42160 (0.0010) -[2026-06-02 22:58:37,288][513861] Updated weights for policy 0, policy_version 42210 (0.0011) -[2026-06-02 22:58:38,985][513861] Updated weights for policy 0, policy_version 42258 (0.0010) -[2026-06-02 22:58:40,108][512914] Fps is (10 sec: 18841.6, 60 sec: 18705.1, 300 sec: 18772.2). Total num frames: 21659648. Throughput: 0: 18909.9. Samples: 21661184. Policy #0 lag: (min: 3.0, avg: 8.2, max: 67.0) -[2026-06-02 22:58:40,109][512914] Avg episode reward: [(0, '8154.450')] -[2026-06-02 22:58:40,555][513861] Updated weights for policy 0, policy_version 42320 (0.0010) -[2026-06-02 22:58:42,215][513861] Updated weights for policy 0, policy_version 42384 (0.0010) -[2026-06-02 22:58:43,921][513861] Updated weights for policy 0, policy_version 42448 (0.0010) -[2026-06-02 22:58:45,108][512914] Fps is (10 sec: 19660.1, 60 sec: 18978.0, 300 sec: 18772.2). Total num frames: 21757952. Throughput: 0: 18909.7. Samples: 21776896. Policy #0 lag: (min: 3.0, avg: 8.2, max: 67.0) -[2026-06-02 22:58:45,113][512914] Avg episode reward: [(0, '8177.050')] -[2026-06-02 22:58:45,694][513861] Updated weights for policy 0, policy_version 42512 (0.0010) -[2026-06-02 22:58:46,092][513861] Updated weights for policy 0, policy_version 42560 (0.0009) -[2026-06-02 22:58:49,029][513861] Updated weights for policy 0, policy_version 42626 (0.0010) -[2026-06-02 22:58:49,229][513792] Signal inference workers to stop experience collection... (2000 times) -[2026-06-02 22:58:49,259][513861] InferenceWorker_p0-w0: stopping experience collection (2000 times) -[2026-06-02 22:58:49,333][513792] Signal inference workers to resume experience collection... (2000 times) -[2026-06-02 22:58:49,334][513861] InferenceWorker_p0-w0: resuming experience collection (2000 times) -[2026-06-02 22:58:49,491][513861] Updated weights for policy 0, policy_version 42686 (0.0009) -[2026-06-02 22:58:50,108][512914] Fps is (10 sec: 19660.8, 60 sec: 19114.7, 300 sec: 18827.7). Total num frames: 21856256. Throughput: 0: 18909.9. Samples: 21834240. Policy #0 lag: (min: 3.0, avg: 8.2, max: 67.0) -[2026-06-02 22:58:50,109][512914] Avg episode reward: [(0, '8122.650')] -[2026-06-02 22:58:51,198][513861] Updated weights for policy 0, policy_version 42746 (0.0010) -[2026-06-02 22:58:52,830][513861] Updated weights for policy 0, policy_version 42812 (0.0009) -[2026-06-02 22:58:54,527][513861] Updated weights for policy 0, policy_version 42876 (0.0011) -[2026-06-02 22:58:55,108][512914] Fps is (10 sec: 19661.5, 60 sec: 19114.7, 300 sec: 18883.3). Total num frames: 21954560. Throughput: 0: 18887.1. Samples: 21952000. Policy #0 lag: (min: 6.0, avg: 11.3, max: 70.0) -[2026-06-02 22:58:55,109][512914] Avg episode reward: [(0, '8193.400')] -[2026-06-02 22:58:56,286][513861] Updated weights for policy 0, policy_version 42941 (0.0009) -[2026-06-02 22:58:57,986][513861] Updated weights for policy 0, policy_version 43007 (0.0010) -[2026-06-02 22:58:59,732][513861] Updated weights for policy 0, policy_version 43071 (0.0009) -[2026-06-02 22:59:00,108][512914] Fps is (10 sec: 19660.7, 60 sec: 19114.6, 300 sec: 18883.3). Total num frames: 22052864. Throughput: 0: 18818.9. Samples: 22061568. Policy #0 lag: (min: 6.0, avg: 11.3, max: 70.0) -[2026-06-02 22:59:00,109][512914] Avg episode reward: [(0, '8373.600')] -[2026-06-02 22:59:00,113][513792] Saving new best policy, reward=8373.600! -[2026-06-02 22:59:01,363][513861] Updated weights for policy 0, policy_version 43130 (0.0009) -[2026-06-02 22:59:03,048][513861] Updated weights for policy 0, policy_version 43188 (0.0009) -[2026-06-02 22:59:04,867][513861] Updated weights for policy 0, policy_version 43258 (0.0009) -[2026-06-02 22:59:05,108][512914] Fps is (10 sec: 19660.7, 60 sec: 19114.7, 300 sec: 18883.3). Total num frames: 22151168. Throughput: 0: 18898.5. Samples: 22121472. Policy #0 lag: (min: 6.0, avg: 11.3, max: 70.0) -[2026-06-02 22:59:05,109][512914] Avg episode reward: [(0, '8423.750')] -[2026-06-02 22:59:05,113][513792] Saving new best policy, reward=8423.750! -[2026-06-02 22:59:06,553][513861] Updated weights for policy 0, policy_version 43322 (0.0009) -[2026-06-02 22:59:08,202][513861] Updated weights for policy 0, policy_version 43384 (0.0009) -[2026-06-02 22:59:09,857][513861] Updated weights for policy 0, policy_version 43445 (0.0010) -[2026-06-02 22:59:10,108][512914] Fps is (10 sec: 19660.9, 60 sec: 19114.7, 300 sec: 18883.3). Total num frames: 22249472. Throughput: 0: 18921.2. Samples: 22237696. Policy #0 lag: (min: 6.0, avg: 11.3, max: 70.0) -[2026-06-02 22:59:10,109][512914] Avg episode reward: [(0, '8506.650')] -[2026-06-02 22:59:10,112][513792] Saving new best policy, reward=8506.650! -[2026-06-02 22:59:11,555][513861] Updated weights for policy 0, policy_version 43504 (0.0010) -[2026-06-02 22:59:13,272][513861] Updated weights for policy 0, policy_version 43570 (0.0009) -[2026-06-02 22:59:14,886][513861] Updated weights for policy 0, policy_version 43618 (0.0009) -[2026-06-02 22:59:15,108][512914] Fps is (10 sec: 18841.8, 60 sec: 18978.2, 300 sec: 18855.5). Total num frames: 22339584. Throughput: 0: 19035.0. Samples: 22351872. Policy #0 lag: (min: 6.0, avg: 11.3, max: 70.0) -[2026-06-02 22:59:15,109][512914] Avg episode reward: [(0, '8810.550')] -[2026-06-02 22:59:15,121][513792] Saving new best policy, reward=8810.550! -[2026-06-02 22:59:16,482][513861] Updated weights for policy 0, policy_version 43680 (0.0010) -[2026-06-02 22:59:17,980][513792] Signal inference workers to stop experience collection... (2050 times) -[2026-06-02 22:59:18,009][513861] InferenceWorker_p0-w0: stopping experience collection (2050 times) -[2026-06-02 22:59:18,083][513792] Signal inference workers to resume experience collection... (2050 times) -[2026-06-02 22:59:18,083][513861] InferenceWorker_p0-w0: resuming experience collection (2050 times) -[2026-06-02 22:59:18,085][513861] Updated weights for policy 0, policy_version 43744 (0.0010) -[2026-06-02 22:59:19,679][513861] Updated weights for policy 0, policy_version 43792 (0.0010) -[2026-06-02 22:59:20,072][513861] Updated weights for policy 0, policy_version 43839 (0.0010) -[2026-06-02 22:59:20,108][512914] Fps is (10 sec: 19660.5, 60 sec: 19114.6, 300 sec: 18883.2). Total num frames: 22446080. Throughput: 0: 19217.0. Samples: 22414336. Policy #0 lag: (min: 63.0, avg: 68.2, max: 127.0) -[2026-06-02 22:59:20,109][512914] Avg episode reward: [(0, '8991.450')] -[2026-06-02 22:59:20,113][513792] Saving new best policy, reward=8991.450! -[2026-06-02 22:59:21,664][513861] Updated weights for policy 0, policy_version 43898 (0.0010) -[2026-06-02 22:59:23,428][513861] Updated weights for policy 0, policy_version 43967 (0.0010) -[2026-06-02 22:59:25,108][512914] Fps is (10 sec: 19660.8, 60 sec: 18978.1, 300 sec: 18855.5). Total num frames: 22536192. Throughput: 0: 19262.6. Samples: 22528000. Policy #0 lag: (min: 63.0, avg: 68.2, max: 127.0) -[2026-06-02 22:59:25,109][512914] Avg episode reward: [(0, '8928.950')] -[2026-06-02 22:59:25,184][513861] Updated weights for policy 0, policy_version 44026 (0.0010) -[2026-06-02 22:59:26,793][513861] Updated weights for policy 0, policy_version 44084 (0.0010) -[2026-06-02 22:59:28,490][513861] Updated weights for policy 0, policy_version 44146 (0.0010) -[2026-06-02 22:59:30,108][512914] Fps is (10 sec: 17203.3, 60 sec: 19114.6, 300 sec: 18799.9). Total num frames: 22618112. Throughput: 0: 19274.1. Samples: 22644224. Policy #0 lag: (min: 63.0, avg: 68.2, max: 127.0) -[2026-06-02 22:59:30,110][512914] Avg episode reward: [(0, '8914.250')] -[2026-06-02 22:59:30,224][513861] Updated weights for policy 0, policy_version 44208 (0.0010) -[2026-06-02 22:59:31,986][513861] Updated weights for policy 0, policy_version 44272 (0.0010) -[2026-06-02 22:59:33,797][513861] Updated weights for policy 0, policy_version 44338 (0.0010) -[2026-06-02 22:59:35,108][512914] Fps is (10 sec: 17203.1, 60 sec: 19114.7, 300 sec: 18799.9). Total num frames: 22708224. Throughput: 0: 19217.1. Samples: 22699008. Policy #0 lag: (min: 63.0, avg: 68.2, max: 127.0) -[2026-06-02 22:59:35,109][512914] Avg episode reward: [(0, '9046.150')] -[2026-06-02 22:59:35,113][513792] Saving new best policy, reward=9046.150! -[2026-06-02 22:59:35,548][513861] Updated weights for policy 0, policy_version 44402 (0.0009) -[2026-06-02 22:59:37,225][513861] Updated weights for policy 0, policy_version 44464 (0.0009) -[2026-06-02 22:59:38,679][513861] Updated weights for policy 0, policy_version 44512 (0.0009) -[2026-06-02 22:59:40,108][512914] Fps is (10 sec: 18841.7, 60 sec: 19114.7, 300 sec: 18827.7). Total num frames: 22806528. Throughput: 0: 19114.7. Samples: 22812160. Policy #0 lag: (min: 63.0, avg: 68.2, max: 127.0) -[2026-06-02 22:59:40,109][512914] Avg episode reward: [(0, '9003.600')] -[2026-06-02 22:59:40,245][513861] Updated weights for policy 0, policy_version 44560 (0.0009) -[2026-06-02 22:59:41,931][513861] Updated weights for policy 0, policy_version 44610 (0.0009) -[2026-06-02 22:59:42,401][513861] Updated weights for policy 0, policy_version 44670 (0.0009) -[2026-06-02 22:59:44,098][513861] Updated weights for policy 0, policy_version 44735 (0.0009) -[2026-06-02 22:59:45,108][512914] Fps is (10 sec: 19660.8, 60 sec: 19114.8, 300 sec: 18827.7). Total num frames: 22904832. Throughput: 0: 19296.7. Samples: 22929920. Policy #0 lag: (min: 63.0, avg: 68.2, max: 127.0) -[2026-06-02 22:59:45,109][512914] Avg episode reward: [(0, '8928.950')] -[2026-06-02 22:59:45,689][513861] Updated weights for policy 0, policy_version 44794 (0.0009) -[2026-06-02 22:59:46,888][513792] Signal inference workers to stop experience collection... (2100 times) -[2026-06-02 22:59:46,915][513861] InferenceWorker_p0-w0: stopping experience collection (2100 times) -[2026-06-02 22:59:47,011][513792] Signal inference workers to resume experience collection... (2100 times) -[2026-06-02 22:59:47,012][513861] InferenceWorker_p0-w0: resuming experience collection (2100 times) -[2026-06-02 22:59:47,348][513861] Updated weights for policy 0, policy_version 44858 (0.0010) -[2026-06-02 22:59:49,094][513861] Updated weights for policy 0, policy_version 44920 (0.0009) -[2026-06-02 22:59:50,108][512914] Fps is (10 sec: 19660.6, 60 sec: 19114.6, 300 sec: 18827.7). Total num frames: 23003136. Throughput: 0: 19262.6. Samples: 22988288. Policy #0 lag: (min: 10.0, avg: 15.4, max: 74.0) -[2026-06-02 22:59:50,109][512914] Avg episode reward: [(0, '9117.550')] -[2026-06-02 22:59:50,114][513792] Saving new best policy, reward=9117.550! -[2026-06-02 22:59:50,725][513861] Updated weights for policy 0, policy_version 44980 (0.0009) -[2026-06-02 22:59:52,429][513861] Updated weights for policy 0, policy_version 45042 (0.0009) -[2026-06-02 22:59:54,091][513861] Updated weights for policy 0, policy_version 45104 (0.0009) -[2026-06-02 22:59:55,108][512914] Fps is (10 sec: 19660.8, 60 sec: 19114.7, 300 sec: 18883.2). Total num frames: 23101440. Throughput: 0: 19239.8. Samples: 23103488. Policy #0 lag: (min: 10.0, avg: 15.4, max: 74.0) -[2026-06-02 22:59:55,109][512914] Avg episode reward: [(0, '9052.750')] -[2026-06-02 22:59:55,838][513861] Updated weights for policy 0, policy_version 45168 (0.0009) -[2026-06-02 22:59:57,487][513861] Updated weights for policy 0, policy_version 45232 (0.0009) -[2026-06-02 22:59:59,136][513861] Updated weights for policy 0, policy_version 45282 (0.0011) -[2026-06-02 23:00:00,108][512914] Fps is (10 sec: 19660.8, 60 sec: 19114.6, 300 sec: 18883.2). Total num frames: 23199744. Throughput: 0: 19285.3. Samples: 23219712. Policy #0 lag: (min: 10.0, avg: 15.4, max: 74.0) -[2026-06-02 23:00:00,110][512914] Avg episode reward: [(0, '9161.650')] -[2026-06-02 23:00:00,113][513792] Saving new best policy, reward=9161.650! -[2026-06-02 23:00:00,784][513861] Updated weights for policy 0, policy_version 45360 (0.0010) -[2026-06-02 23:00:02,329][513861] Updated weights for policy 0, policy_version 45408 (0.0009) -[2026-06-02 23:00:03,911][513861] Updated weights for policy 0, policy_version 45458 (0.0010) -[2026-06-02 23:00:05,108][512914] Fps is (10 sec: 19660.9, 60 sec: 19114.7, 300 sec: 18883.3). Total num frames: 23298048. Throughput: 0: 19217.1. Samples: 23279104. Policy #0 lag: (min: 10.0, avg: 15.4, max: 74.0) -[2026-06-02 23:00:05,109][512914] Avg episode reward: [(0, '9364.900')] -[2026-06-02 23:00:05,113][513792] Saving new best policy, reward=9364.900! -[2026-06-02 23:00:05,709][513861] Updated weights for policy 0, policy_version 45520 (0.0010) -[2026-06-02 23:00:07,479][513861] Updated weights for policy 0, policy_version 45586 (0.0010) -[2026-06-02 23:00:09,374][513861] Updated weights for policy 0, policy_version 45664 (0.0009) -[2026-06-02 23:00:10,108][512914] Fps is (10 sec: 19660.9, 60 sec: 19114.6, 300 sec: 18883.2). Total num frames: 23396352. Throughput: 0: 19217.0. Samples: 23392768. Policy #0 lag: (min: 10.0, avg: 15.4, max: 74.0) -[2026-06-02 23:00:10,109][512914] Avg episode reward: [(0, '9403.150')] -[2026-06-02 23:00:10,114][513792] Saving new best policy, reward=9403.150! -[2026-06-02 23:00:11,095][513861] Updated weights for policy 0, policy_version 45712 (0.0010) -[2026-06-02 23:00:12,856][513861] Updated weights for policy 0, policy_version 45776 (0.0010) -[2026-06-02 23:00:14,514][513861] Updated weights for policy 0, policy_version 45840 (0.0009) -[2026-06-02 23:00:14,616][513792] Signal inference workers to stop experience collection... (2150 times) -[2026-06-02 23:00:14,646][513861] InferenceWorker_p0-w0: stopping experience collection (2150 times) -[2026-06-02 23:00:14,733][513792] Signal inference workers to resume experience collection... (2150 times) -[2026-06-02 23:00:14,733][513861] InferenceWorker_p0-w0: resuming experience collection (2150 times) -[2026-06-02 23:00:15,108][512914] Fps is (10 sec: 19660.7, 60 sec: 19251.2, 300 sec: 18938.8). Total num frames: 23494656. Throughput: 0: 19046.4. Samples: 23501312. Policy #0 lag: (min: 10.0, avg: 15.4, max: 74.0) -[2026-06-02 23:00:15,109][512914] Avg episode reward: [(0, '9346.600')] -[2026-06-02 23:00:16,243][513861] Updated weights for policy 0, policy_version 45904 (0.0010) -[2026-06-02 23:00:17,952][513861] Updated weights for policy 0, policy_version 45968 (0.0010) -[2026-06-02 23:00:19,670][513861] Updated weights for policy 0, policy_version 46032 (0.0010) -[2026-06-02 23:00:20,060][513861] Updated weights for policy 0, policy_version 46080 (0.0009) -[2026-06-02 23:00:20,108][512914] Fps is (10 sec: 19660.8, 60 sec: 19114.7, 300 sec: 18994.3). Total num frames: 23592960. Throughput: 0: 19160.1. Samples: 23561216. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 23:00:20,109][512914] Avg episode reward: [(0, '9120.700')] -[2026-06-02 23:00:21,849][513861] Updated weights for policy 0, policy_version 46143 (0.0010) -[2026-06-02 23:00:23,469][513861] Updated weights for policy 0, policy_version 46196 (0.0007) -[2026-06-02 23:00:25,108][512914] Fps is (10 sec: 18022.5, 60 sec: 18978.1, 300 sec: 18938.8). Total num frames: 23674880. Throughput: 0: 19114.7. Samples: 23672320. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 23:00:25,109][512914] Avg episode reward: [(0, '9342.700')] -[2026-06-02 23:00:25,203][513861] Updated weights for policy 0, policy_version 46258 (0.0010) -[2026-06-02 23:00:26,830][513861] Updated weights for policy 0, policy_version 46306 (0.0009) -[2026-06-02 23:00:28,512][513861] Updated weights for policy 0, policy_version 46368 (0.0009) -[2026-06-02 23:00:30,108][512914] Fps is (10 sec: 16384.0, 60 sec: 18978.1, 300 sec: 18883.2). Total num frames: 23756800. Throughput: 0: 19046.4. Samples: 23787008. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 23:00:30,109][512914] Avg episode reward: [(0, '9238.850')] -[2026-06-02 23:00:30,361][513861] Updated weights for policy 0, policy_version 46448 (0.0010) -[2026-06-02 23:00:32,075][513861] Updated weights for policy 0, policy_version 46498 (0.0010) -[2026-06-02 23:00:33,578][513861] Updated weights for policy 0, policy_version 46546 (0.0009) -[2026-06-02 23:00:35,108][512914] Fps is (10 sec: 18022.4, 60 sec: 19114.7, 300 sec: 18883.3). Total num frames: 23855104. Throughput: 0: 18989.6. Samples: 23842816. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 23:00:35,109][512914] Avg episode reward: [(0, '9476.750')] -[2026-06-02 23:00:35,225][513861] Updated weights for policy 0, policy_version 46608 (0.0010) -[2026-06-02 23:00:35,341][513792] Saving new best policy, reward=9476.750! -[2026-06-02 23:00:36,877][513861] Updated weights for policy 0, policy_version 46672 (0.0010) -[2026-06-02 23:00:37,282][513861] Updated weights for policy 0, policy_version 46720 (0.0009) -[2026-06-02 23:00:40,108][512914] Fps is (10 sec: 19660.8, 60 sec: 19114.6, 300 sec: 18883.3). Total num frames: 23953408. Throughput: 0: 18978.1. Samples: 23957504. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 23:00:40,109][512914] Avg episode reward: [(0, '9635.750')] -[2026-06-02 23:00:40,111][513792] Saving new best policy, reward=9635.750! -[2026-06-02 23:00:40,332][513861] Updated weights for policy 0, policy_version 46800 (0.0011) -[2026-06-02 23:00:41,903][513861] Updated weights for policy 0, policy_version 46864 (0.0007) -[2026-06-02 23:00:42,307][513861] Updated weights for policy 0, policy_version 46912 (0.0007) -[2026-06-02 23:00:43,468][513792] Signal inference workers to stop experience collection... (2200 times) -[2026-06-02 23:00:43,498][513861] InferenceWorker_p0-w0: stopping experience collection (2200 times) -[2026-06-02 23:00:43,573][513792] Signal inference workers to resume experience collection... (2200 times) -[2026-06-02 23:00:43,574][513861] InferenceWorker_p0-w0: resuming experience collection (2200 times) -[2026-06-02 23:00:43,837][513861] Updated weights for policy 0, policy_version 46974 (0.0010) -[2026-06-02 23:00:45,108][512914] Fps is (10 sec: 19660.7, 60 sec: 19114.7, 300 sec: 18883.3). Total num frames: 24051712. Throughput: 0: 19137.5. Samples: 24080896. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 23:00:45,109][512914] Avg episode reward: [(0, '9679.450')] -[2026-06-02 23:00:45,306][513792] Saving new best policy, reward=9679.450! -[2026-06-02 23:00:45,528][513861] Updated weights for policy 0, policy_version 47032 (0.0010) -[2026-06-02 23:00:47,158][513861] Updated weights for policy 0, policy_version 47098 (0.0011) -[2026-06-02 23:00:48,848][513861] Updated weights for policy 0, policy_version 47163 (0.0010) -[2026-06-02 23:00:50,108][512914] Fps is (10 sec: 19660.9, 60 sec: 19114.7, 300 sec: 18883.3). Total num frames: 24150016. Throughput: 0: 19148.8. Samples: 24140800. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:00:50,109][512914] Avg episode reward: [(0, '9647.850')] -[2026-06-02 23:00:50,441][513861] Updated weights for policy 0, policy_version 47220 (0.0010) -[2026-06-02 23:00:52,044][513861] Updated weights for policy 0, policy_version 47280 (0.0010) -[2026-06-02 23:00:53,824][513861] Updated weights for policy 0, policy_version 47349 (0.0010) -[2026-06-02 23:00:55,108][512914] Fps is (10 sec: 19660.9, 60 sec: 19114.7, 300 sec: 18911.0). Total num frames: 24248320. Throughput: 0: 19160.2. Samples: 24254976. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:00:55,109][512914] Avg episode reward: [(0, '9755.900')] -[2026-06-02 23:00:55,356][513792] Saving new best policy, reward=9755.900! -[2026-06-02 23:00:55,578][513861] Updated weights for policy 0, policy_version 47416 (0.0010) -[2026-06-02 23:00:57,328][513861] Updated weights for policy 0, policy_version 47485 (0.0010) -[2026-06-02 23:00:58,925][513861] Updated weights for policy 0, policy_version 47543 (0.0010) -[2026-06-02 23:01:00,108][512914] Fps is (10 sec: 19660.8, 60 sec: 19114.7, 300 sec: 18994.3). Total num frames: 24346624. Throughput: 0: 19433.2. Samples: 24375808. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:01:00,109][512914] Avg episode reward: [(0, '10056.200')] -[2026-06-02 23:01:00,113][513792] Saving new best policy, reward=10056.200! -[2026-06-02 23:01:00,512][513861] Updated weights for policy 0, policy_version 47602 (0.0010) -[2026-06-02 23:01:02,100][513861] Updated weights for policy 0, policy_version 47650 (0.0010) -[2026-06-02 23:01:03,664][513861] Updated weights for policy 0, policy_version 47696 (0.0010) -[2026-06-02 23:01:04,067][513861] Updated weights for policy 0, policy_version 47744 (0.0010) -[2026-06-02 23:01:05,108][512914] Fps is (10 sec: 19660.7, 60 sec: 19114.6, 300 sec: 18994.3). Total num frames: 24444928. Throughput: 0: 19365.0. Samples: 24432640. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:01:05,109][512914] Avg episode reward: [(0, '9893.000')] -[2026-06-02 23:01:07,045][513861] Updated weights for policy 0, policy_version 47809 (0.0010) -[2026-06-02 23:01:07,520][513861] Updated weights for policy 0, policy_version 47871 (0.0010) -[2026-06-02 23:01:09,227][513861] Updated weights for policy 0, policy_version 47936 (0.0010) -[2026-06-02 23:01:10,108][512914] Fps is (10 sec: 19660.8, 60 sec: 19114.7, 300 sec: 18994.3). Total num frames: 24543232. Throughput: 0: 19410.5. Samples: 24545792. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:01:10,109][512914] Avg episode reward: [(0, '9928.750')] -[2026-06-02 23:01:10,902][513861] Updated weights for policy 0, policy_version 48000 (0.0011) -[2026-06-02 23:01:12,056][513792] Signal inference workers to stop experience collection... (2250 times) -[2026-06-02 23:01:12,083][513861] InferenceWorker_p0-w0: stopping experience collection (2250 times) -[2026-06-02 23:01:12,180][513792] Signal inference workers to resume experience collection... (2250 times) -[2026-06-02 23:01:12,180][513861] InferenceWorker_p0-w0: resuming experience collection (2250 times) -[2026-06-02 23:01:13,752][513861] Updated weights for policy 0, policy_version 48066 (0.0011) -[2026-06-02 23:01:14,246][513861] Updated weights for policy 0, policy_version 48128 (0.0009) -[2026-06-02 23:01:15,108][512914] Fps is (10 sec: 19660.8, 60 sec: 19114.7, 300 sec: 18994.3). Total num frames: 24641536. Throughput: 0: 19467.4. Samples: 24663040. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 23:01:15,109][512914] Avg episode reward: [(0, '10064.450')] -[2026-06-02 23:01:15,113][513792] Saving new best policy, reward=10064.450! -[2026-06-02 23:01:15,985][513861] Updated weights for policy 0, policy_version 48190 (0.0010) -[2026-06-02 23:01:17,580][513861] Updated weights for policy 0, policy_version 48248 (0.0006) -[2026-06-02 23:01:19,321][513861] Updated weights for policy 0, policy_version 48314 (0.0008) -[2026-06-02 23:01:20,108][512914] Fps is (10 sec: 19660.8, 60 sec: 19114.7, 300 sec: 18994.3). Total num frames: 24739840. Throughput: 0: 19501.5. Samples: 24720384. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 23:01:20,109][512914] Avg episode reward: [(0, '9983.300')] -[2026-06-02 23:01:20,919][513861] Updated weights for policy 0, policy_version 48370 (0.0009) -[2026-06-02 23:01:22,588][513861] Updated weights for policy 0, policy_version 48443 (0.0010) -[2026-06-02 23:01:24,201][513861] Updated weights for policy 0, policy_version 48502 (0.0009) -[2026-06-02 23:01:25,108][512914] Fps is (10 sec: 19660.9, 60 sec: 19387.7, 300 sec: 18994.3). Total num frames: 24838144. Throughput: 0: 19626.7. Samples: 24840704. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 23:01:25,109][512914] Avg episode reward: [(0, '9764.650')] -[2026-06-02 23:01:25,827][513861] Updated weights for policy 0, policy_version 48560 (0.0009) -[2026-06-02 23:01:27,567][513861] Updated weights for policy 0, policy_version 48624 (0.0009) -[2026-06-02 23:01:29,215][513861] Updated weights for policy 0, policy_version 48675 (0.0008) -[2026-06-02 23:01:30,108][512914] Fps is (10 sec: 19660.8, 60 sec: 19660.8, 300 sec: 18994.3). Total num frames: 24936448. Throughput: 0: 19421.9. Samples: 24954880. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 23:01:30,111][512914] Avg episode reward: [(0, '9791.200')] -[2026-06-02 23:01:30,858][513861] Updated weights for policy 0, policy_version 48739 (0.0010) -[2026-06-02 23:01:32,426][513861] Updated weights for policy 0, policy_version 48803 (0.0010) -[2026-06-02 23:01:33,943][513792] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 -[2026-06-02 23:01:33,944][513862] Stopping RolloutWorker_w0... -[2026-06-02 23:01:33,945][513862] Loop rollout_proc0_evt_loop terminating... -[2026-06-02 23:01:33,945][513792] Stopping Batcher_0... -[2026-06-02 23:01:33,945][512914] Component RolloutWorker_w0 stopped! -[2026-06-02 23:01:33,946][513792] Loop batcher_evt_loop terminating... -[2026-06-02 23:01:33,946][512914] Component Batcher_0 stopped! -[2026-06-02 23:01:34,000][513792] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 -[2026-06-02 23:01:34,001][513792] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride4_seed13/checkpoint_p0/checkpoint_000048864_25018368.pth... -[2026-06-02 23:01:34,029][513861] Weights refcount: 2 0 -[2026-06-02 23:01:34,030][513861] Stopping InferenceWorker_p0-w0... -[2026-06-02 23:01:34,030][513861] Loop inference_proc0-0_evt_loop terminating... -[2026-06-02 23:01:34,030][512914] Component InferenceWorker_p0-w0 stopped! -[2026-06-02 23:01:34,073][513792] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 -[2026-06-02 23:01:34,074][513792] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride4_seed13/checkpoint_p0/checkpoint_000048880_25026560.pth... -[2026-06-02 23:01:34,091][513792] Stopping LearnerWorker_p0... -[2026-06-02 23:01:34,092][513792] Loop learner_proc0_evt_loop terminating... -[2026-06-02 23:01:34,092][512914] Component LearnerWorker_p0 stopped! -[2026-06-02 23:01:34,092][512914] Waiting for process learner_proc0 to stop... -[2026-06-02 23:01:34,972][512914] Waiting for process inference_proc0-0 to join... -[2026-06-02 23:01:34,973][512914] Waiting for process rollout_proc0 to join... -[2026-06-02 23:01:34,973][512914] Batcher 0 profile tree view: -batching: 1.4575, releasing_batches: 1.6918 -[2026-06-02 23:01:34,974][512914] InferenceWorker_p0-w0 profile tree view: +[2026-06-04 11:57:52,232][495402] Using optimizer +[2026-06-04 11:57:53,499][495402] No checkpoints found +[2026-06-04 11:57:53,499][495402] Did not load from checkpoint, starting from scratch! +[2026-06-04 11:57:53,500][495402] Initialized policy 0 weights for model version 0 +[2026-06-04 11:57:53,503][495402] LearnerWorker_p0 finished initialization! +[2026-06-04 11:57:53,504][495402] Using GPUs [0] for process 0 (actually maps to GPUs [6]) +[2026-06-04 11:57:54,282][495491] Using GPUs [0] for process 0 (actually maps to GPUs [6]) +[2026-06-04 11:57:54,283][495491] Set environment var CUDA_VISIBLE_DEVICES to '6' (GPU indices [0]) for inference process 0 +[2026-06-04 11:57:54,283][495491] Num visible devices: 1 +[2026-06-04 11:57:54,286][495491] RunningMeanStd input shape: (4, 84, 84) +[2026-06-04 11:57:54,291][495492] 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 11:57:54,291][495492] Using GPUs [0] for process 0 (actually maps to GPUs [6]) +[2026-06-04 11:57:54,291][495492] Set environment var CUDA_VISIBLE_DEVICES to '6' (GPU indices [0]) for actor process 0 +[2026-06-04 11:57:54,291][495492] Num visible devices: 1 +[2026-06-04 11:57:54,320][495491] RunningMeanStd input shape: (1,) +[2026-06-04 11:57:54,332][495491] ConvEncoder: input_channels=4 +[2026-06-04 11:57:54,443][495491] Conv encoder output size: 512 +[2026-06-04 11:57:54,452][494436] Inference worker 0-0 is ready! +[2026-06-04 11:57:54,453][494436] All inference workers are ready! Signal rollout workers to start! +[2026-06-04 11:57:54,454][495492] EnvRunner 0-0 uses policy 0 +[2026-06-04 11:57:57,176][494436] 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 11:57:59,092][495402] Signal inference workers to stop experience collection... +[2026-06-04 11:57:59,120][495491] InferenceWorker_p0-w0: stopping experience collection +[2026-06-04 11:58:00,993][495402] Signal inference workers to resume experience collection... +[2026-06-04 11:58:00,994][495491] InferenceWorker_p0-w0: resuming experience collection +[2026-06-04 11:58:02,176][494436] Fps is (10 sec: 6553.4, 60 sec: 6553.4, 300 sec: 6553.4). Total num frames: 32768. Throughput: 0: 6860.6. Samples: 34304. Policy #0 lag: (min: 15.0, avg: 15.0, max: 15.0) +[2026-06-04 11:58:04,239][495491] Updated weights for policy 0, policy_version 80 (0.0052) +[2026-06-04 11:58:07,176][494436] Fps is (10 sec: 6553.5, 60 sec: 6553.5, 300 sec: 6553.5). Total num frames: 65536. Throughput: 0: 8806.2. Samples: 88064. Policy #0 lag: (min: 6.0, avg: 13.1, max: 70.0) +[2026-06-04 11:58:07,980][495491] Updated weights for policy 0, policy_version 176 (0.0014) +[2026-06-04 11:58:09,330][494436] Heartbeat connected on Batcher_0 +[2026-06-04 11:58:09,335][494436] Heartbeat connected on LearnerWorker_p0 +[2026-06-04 11:58:09,372][494436] Heartbeat connected on RolloutWorker_w0 +[2026-06-04 11:58:09,374][494436] Heartbeat connected on InferenceWorker_p0-w0 +[2026-06-04 11:58:11,490][495491] Updated weights for policy 0, policy_version 243 (0.0011) +[2026-06-04 11:58:12,176][494436] Fps is (10 sec: 9830.4, 60 sec: 8738.0, 300 sec: 8738.0). Total num frames: 131072. Throughput: 0: 7782.3. Samples: 116736. Policy #0 lag: (min: 2.0, avg: 5.7, max: 66.0) +[2026-06-04 11:58:12,177][494436] Avg episode reward: [(0, '43.750')] +[2026-06-04 11:58:12,179][495402] Saving new best policy, reward=43.750! +[2026-06-04 11:58:15,119][495491] Updated weights for policy 0, policy_version 319 (0.0011) +[2026-06-04 11:58:17,176][494436] Fps is (10 sec: 9830.6, 60 sec: 8192.0, 300 sec: 8192.0). Total num frames: 163840. Throughput: 0: 8627.2. Samples: 172544. Policy #0 lag: (min: 5.0, avg: 8.4, max: 69.0) +[2026-06-04 11:58:17,177][494436] Avg episode reward: [(0, '55.185')] +[2026-06-04 11:58:17,178][495402] Saving new best policy, reward=55.185! +[2026-06-04 11:58:22,176][494436] Fps is (10 sec: 7372.8, 60 sec: 8192.0, 300 sec: 8192.0). Total num frames: 204800. Throughput: 0: 9052.1. Samples: 226304. Policy #0 lag: (min: 2.0, avg: 4.9, max: 66.0) +[2026-06-04 11:58:22,177][494436] Avg episode reward: [(0, '59.483')] +[2026-06-04 11:58:22,226][495491] Updated weights for policy 0, policy_version 416 (0.0012) +[2026-06-04 11:58:22,371][495402] Saving new best policy, reward=59.483! +[2026-06-04 11:58:26,335][495491] Updated weights for policy 0, policy_version 512 (0.0011) +[2026-06-04 11:58:27,176][494436] Fps is (10 sec: 9830.3, 60 sec: 8738.1, 300 sec: 8738.1). Total num frames: 262144. Throughput: 0: 8396.8. Samples: 251904. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 11:58:27,177][494436] Avg episode reward: [(0, '72.784')] +[2026-06-04 11:58:27,179][495402] Saving new best policy, reward=72.784! +[2026-06-04 11:58:32,176][494436] Fps is (10 sec: 9011.3, 60 sec: 8426.0, 300 sec: 8426.0). Total num frames: 294912. Throughput: 0: 8557.7. Samples: 299520. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 11:58:32,177][494436] Avg episode reward: [(0, '92.800')] +[2026-06-04 11:58:32,180][495402] Saving new best policy, reward=92.800! +[2026-06-04 11:58:34,390][495491] Updated weights for policy 0, policy_version 624 (0.0013) +[2026-06-04 11:58:37,176][494436] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8192.0). Total num frames: 327680. Throughput: 0: 8665.6. Samples: 346624. Policy #0 lag: (min: 5.0, avg: 7.7, max: 69.0) +[2026-06-04 11:58:37,177][494436] Avg episode reward: [(0, '112.800')] +[2026-06-04 11:58:37,181][495402] Saving new best policy, reward=112.800! +[2026-06-04 11:58:38,668][495491] Updated weights for policy 0, policy_version 695 (0.0013) +[2026-06-04 11:58:42,176][494436] Fps is (10 sec: 6553.6, 60 sec: 8009.9, 300 sec: 8009.9). Total num frames: 360448. Throughput: 0: 8226.1. Samples: 370176. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 11:58:42,177][494436] Avg episode reward: [(0, '119.250')] +[2026-06-04 11:58:42,180][495402] Saving new best policy, reward=119.250! +[2026-06-04 11:58:42,925][495491] Updated weights for policy 0, policy_version 768 (0.0011) +[2026-06-04 11:58:47,176][494436] Fps is (10 sec: 9830.4, 60 sec: 8519.7, 300 sec: 8519.7). Total num frames: 425984. Throughput: 0: 8567.5. Samples: 419840. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 11:58:47,177][494436] Avg episode reward: [(0, '126.900')] +[2026-06-04 11:58:47,182][495402] Saving new best policy, reward=126.900! +[2026-06-04 11:58:50,765][495491] Updated weights for policy 0, policy_version 880 (0.0019) +[2026-06-04 11:58:52,176][494436] Fps is (10 sec: 9830.5, 60 sec: 8340.9, 300 sec: 8340.9). Total num frames: 458752. Throughput: 0: 8408.2. Samples: 466432. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 11:58:52,177][494436] Avg episode reward: [(0, '133.600')] +[2026-06-04 11:58:52,181][495402] Saving new best policy, reward=133.600! +[2026-06-04 11:58:55,013][495491] Updated weights for policy 0, policy_version 954 (0.0013) +[2026-06-04 11:58:57,176][494436] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8192.0). Total num frames: 491520. Throughput: 0: 8339.9. Samples: 492032. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 11:58:57,177][494436] Avg episode reward: [(0, '147.050')] +[2026-06-04 11:58:57,180][495402] Saving new best policy, reward=147.050! +[2026-06-04 11:59:02,176][494436] Fps is (10 sec: 6553.5, 60 sec: 8192.0, 300 sec: 8066.0). Total num frames: 524288. Throughput: 0: 8169.2. Samples: 540160. Policy #0 lag: (min: 3.0, avg: 6.0, max: 67.0) +[2026-06-04 11:59:02,177][494436] Avg episode reward: [(0, '164.600')] +[2026-06-04 11:59:02,181][495402] Saving new best policy, reward=164.600! +[2026-06-04 11:59:02,848][495402] Signal inference workers to stop experience collection... (50 times) +[2026-06-04 11:59:02,848][495491] Updated weights for policy 0, policy_version 1056 (0.0011) +[2026-06-04 11:59:02,877][495491] InferenceWorker_p0-w0: stopping experience collection (50 times) +[2026-06-04 11:59:03,000][495402] Signal inference workers to resume experience collection... (50 times) +[2026-06-04 11:59:03,001][495491] InferenceWorker_p0-w0: resuming experience collection (50 times) +[2026-06-04 11:59:07,131][495491] Updated weights for policy 0, policy_version 1144 (0.0012) +[2026-06-04 11:59:07,176][494436] Fps is (10 sec: 9011.2, 60 sec: 8601.6, 300 sec: 8309.0). Total num frames: 581632. Throughput: 0: 8066.8. Samples: 589312. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 11:59:07,177][494436] Avg episode reward: [(0, '170.150')] +[2026-06-04 11:59:07,217][495402] Saving new best policy, reward=170.150! +[2026-06-04 11:59:12,176][494436] Fps is (10 sec: 9830.3, 60 sec: 8192.0, 300 sec: 8301.2). Total num frames: 622592. Throughput: 0: 7987.2. Samples: 611328. Policy #0 lag: (min: 5.0, avg: 7.8, max: 69.0) +[2026-06-04 11:59:12,177][494436] Avg episode reward: [(0, '183.450')] +[2026-06-04 11:59:12,181][495402] Saving new best policy, reward=183.450! +[2026-06-04 11:59:15,124][495491] Updated weights for policy 0, policy_version 1248 (0.0014) +[2026-06-04 11:59:17,176][494436] Fps is (10 sec: 7372.7, 60 sec: 8192.0, 300 sec: 8192.0). Total num frames: 655360. Throughput: 0: 7975.8. Samples: 658432. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-04 11:59:17,178][494436] Avg episode reward: [(0, '186.150')] +[2026-06-04 11:59:17,182][495402] Saving new best policy, reward=186.150! +[2026-06-04 11:59:19,601][495491] Updated weights for policy 0, policy_version 1340 (0.0010) +[2026-06-04 11:59:22,176][494436] Fps is (10 sec: 6553.7, 60 sec: 8055.5, 300 sec: 8095.6). Total num frames: 688128. Throughput: 0: 8021.3. Samples: 707584. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 11:59:22,177][494436] Avg episode reward: [(0, '177.550')] +[2026-06-04 11:59:26,923][495491] Updated weights for policy 0, policy_version 1424 (0.0013) +[2026-06-04 11:59:27,176][494436] Fps is (10 sec: 8192.2, 60 sec: 7918.9, 300 sec: 8192.0). Total num frames: 737280. Throughput: 0: 8078.2. Samples: 733696. Policy #0 lag: (min: 5.0, avg: 7.9, max: 69.0) +[2026-06-04 11:59:27,177][494436] Avg episode reward: [(0, '175.150')] +[2026-06-04 11:59:31,394][495491] Updated weights for policy 0, policy_version 1525 (0.0010) +[2026-06-04 11:59:32,176][494436] Fps is (10 sec: 9830.2, 60 sec: 8192.0, 300 sec: 8278.2). Total num frames: 786432. Throughput: 0: 8089.6. Samples: 783872. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 11:59:32,177][494436] Avg episode reward: [(0, '183.300')] +[2026-06-04 11:59:35,398][495491] Updated weights for policy 0, policy_version 1598 (0.0013) +[2026-06-04 11:59:37,176][494436] Fps is (10 sec: 8192.0, 60 sec: 8192.0, 300 sec: 8192.0). Total num frames: 819200. Throughput: 0: 8112.3. Samples: 831488. Policy #0 lag: (min: 8.0, avg: 10.9, max: 72.0) +[2026-06-04 11:59:37,177][494436] Avg episode reward: [(0, '183.800')] +[2026-06-04 11:59:42,176][494436] Fps is (10 sec: 6553.8, 60 sec: 8192.0, 300 sec: 8114.0). Total num frames: 851968. Throughput: 0: 8078.2. Samples: 855552. Policy #0 lag: (min: 1.0, avg: 3.9, max: 65.0) +[2026-06-04 11:59:42,178][494436] Avg episode reward: [(0, '171.500')] +[2026-06-04 11:59:43,194][495491] Updated weights for policy 0, policy_version 1696 (0.0013) +[2026-06-04 11:59:47,176][494436] Fps is (10 sec: 9011.2, 60 sec: 8055.5, 300 sec: 8266.5). Total num frames: 909312. Throughput: 0: 8135.1. Samples: 906240. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 11:59:47,177][494436] Avg episode reward: [(0, '186.750')] +[2026-06-04 11:59:47,328][495491] Updated weights for policy 0, policy_version 1787 (0.0014) +[2026-06-04 11:59:47,381][495402] Saving new best policy, reward=186.750! +[2026-06-04 11:59:52,176][494436] Fps is (10 sec: 9830.3, 60 sec: 8192.0, 300 sec: 8263.2). Total num frames: 950272. Throughput: 0: 8123.7. Samples: 954880. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 11:59:52,177][494436] Avg episode reward: [(0, '198.100')] +[2026-06-04 11:59:52,180][495402] Saving new best policy, reward=198.100! +[2026-06-04 11:59:54,768][495491] Updated weights for policy 0, policy_version 1872 (0.0011) +[2026-06-04 11:59:57,176][494436] Fps is (10 sec: 7372.7, 60 sec: 8192.0, 300 sec: 8192.0). Total num frames: 983040. Throughput: 0: 8237.5. Samples: 982016. Policy #0 lag: (min: 1.0, avg: 4.0, max: 65.0) +[2026-06-04 11:59:57,177][494436] Avg episode reward: [(0, '193.150')] +[2026-06-04 11:59:59,035][495491] Updated weights for policy 0, policy_version 1968 (0.0011) +[2026-06-04 12:00:02,176][494436] Fps is (10 sec: 6553.5, 60 sec: 8192.0, 300 sec: 8126.4). Total num frames: 1015808. Throughput: 0: 8226.1. Samples: 1028608. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 12:00:02,178][494436] Avg episode reward: [(0, '189.200')] +[2026-06-04 12:00:03,504][495491] Updated weights for policy 0, policy_version 2048 (0.0011) +[2026-06-04 12:00:07,176][494436] Fps is (10 sec: 7372.9, 60 sec: 7918.9, 300 sec: 8129.0). Total num frames: 1056768. Throughput: 0: 8226.1. Samples: 1077760. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:00:07,177][494436] Avg episode reward: [(0, '186.500')] +[2026-06-04 12:00:11,012][495402] Signal inference workers to stop experience collection... (100 times) +[2026-06-04 12:00:11,042][495491] InferenceWorker_p0-w0: stopping experience collection (100 times) +[2026-06-04 12:00:11,164][495402] Signal inference workers to resume experience collection... (100 times) +[2026-06-04 12:00:11,165][495491] InferenceWorker_p0-w0: resuming experience collection (100 times) +[2026-06-04 12:00:11,166][495491] Updated weights for policy 0, policy_version 2144 (0.0012) +[2026-06-04 12:00:12,176][494436] Fps is (10 sec: 9830.7, 60 sec: 8192.0, 300 sec: 8252.7). Total num frames: 1114112. Throughput: 0: 8192.0. Samples: 1102336. Policy #0 lag: (min: 0.0, avg: 2.9, max: 64.0) +[2026-06-04 12:00:12,177][494436] Avg episode reward: [(0, '172.150')] +[2026-06-04 12:00:15,268][495491] Updated weights for policy 0, policy_version 2232 (0.0012) +[2026-06-04 12:00:17,176][494436] Fps is (10 sec: 9011.3, 60 sec: 8192.0, 300 sec: 8192.0). Total num frames: 1146880. Throughput: 0: 8180.7. Samples: 1152000. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 12:00:17,177][494436] Avg episode reward: [(0, '188.100')] +[2026-06-04 12:00:22,176][494436] Fps is (10 sec: 6553.5, 60 sec: 8192.0, 300 sec: 8135.5). Total num frames: 1179648. Throughput: 0: 8271.6. Samples: 1203712. Policy #0 lag: (min: 1.0, avg: 3.9, max: 65.0) +[2026-06-04 12:00:22,177][494436] Avg episode reward: [(0, '198.100')] +[2026-06-04 12:00:22,821][495491] Updated weights for policy 0, policy_version 2321 (0.0010) +[2026-06-04 12:00:27,176][494436] Fps is (10 sec: 9011.2, 60 sec: 8328.5, 300 sec: 8246.6). Total num frames: 1236992. Throughput: 0: 8237.5. Samples: 1226240. Policy #0 lag: (min: 14.0, avg: 17.6, max: 78.0) +[2026-06-04 12:00:27,177][494436] Avg episode reward: [(0, '205.150')] +[2026-06-04 12:00:27,194][495491] Updated weights for policy 0, policy_version 2419 (0.0011) +[2026-06-04 12:00:27,337][495402] Saving new best policy, reward=205.150! +[2026-06-04 12:00:31,280][495491] Updated weights for policy 0, policy_version 2496 (0.0012) +[2026-06-04 12:00:32,176][494436] Fps is (10 sec: 9830.2, 60 sec: 8192.0, 300 sec: 8244.8). Total num frames: 1277952. Throughput: 0: 8248.8. Samples: 1277440. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-04 12:00:32,178][494436] Avg episode reward: [(0, '213.950')] +[2026-06-04 12:00:32,183][495402] Saving new best policy, reward=213.950! +[2026-06-04 12:00:37,176][494436] Fps is (10 sec: 7372.7, 60 sec: 8192.0, 300 sec: 8192.0). Total num frames: 1310720. Throughput: 0: 8248.9. Samples: 1326080. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 12:00:37,177][494436] Avg episode reward: [(0, '233.050')] +[2026-06-04 12:00:37,181][495402] Saving new best policy, reward=233.050! +[2026-06-04 12:00:38,942][495491] Updated weights for policy 0, policy_version 2608 (0.0012) +[2026-06-04 12:00:42,176][494436] Fps is (10 sec: 6553.8, 60 sec: 8192.0, 300 sec: 8142.3). Total num frames: 1343488. Throughput: 0: 8180.6. Samples: 1350144. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-04 12:00:42,177][494436] Avg episode reward: [(0, '229.600')] +[2026-06-04 12:00:43,078][495491] Updated weights for policy 0, policy_version 2683 (0.0011) +[2026-06-04 12:00:47,176][494436] Fps is (10 sec: 9830.5, 60 sec: 8328.5, 300 sec: 8288.4). Total num frames: 1409024. Throughput: 0: 8248.9. Samples: 1399808. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:00:47,177][494436] Avg episode reward: [(0, '229.500')] +[2026-06-04 12:00:50,690][495491] Updated weights for policy 0, policy_version 2784 (0.0013) +[2026-06-04 12:00:52,176][494436] Fps is (10 sec: 9830.3, 60 sec: 8192.0, 300 sec: 8238.8). Total num frames: 1441792. Throughput: 0: 8248.9. Samples: 1448960. Policy #0 lag: (min: 2.0, avg: 4.8, max: 66.0) +[2026-06-04 12:00:52,177][494436] Avg episode reward: [(0, '248.250')] +[2026-06-04 12:00:52,181][495402] Saving new best policy, reward=248.250! +[2026-06-04 12:00:55,082][495491] Updated weights for policy 0, policy_version 2873 (0.0011) +[2026-06-04 12:00:57,176][494436] Fps is (10 sec: 6553.5, 60 sec: 8192.0, 300 sec: 8192.0). Total num frames: 1474560. Throughput: 0: 8283.0. Samples: 1475072. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:00:57,177][494436] Avg episode reward: [(0, '232.350')] +[2026-06-04 12:00:59,038][495491] Updated weights for policy 0, policy_version 2941 (0.0011) +[2026-06-04 12:01:02,176][494436] Fps is (10 sec: 6553.7, 60 sec: 8192.0, 300 sec: 8147.7). Total num frames: 1507328. Throughput: 0: 8294.4. Samples: 1525248. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:01:02,177][494436] Avg episode reward: [(0, '237.400')] +[2026-06-04 12:01:06,621][495491] Updated weights for policy 0, policy_version 3040 (0.0011) +[2026-06-04 12:01:07,176][494436] Fps is (10 sec: 9830.3, 60 sec: 8601.6, 300 sec: 8278.2). Total num frames: 1572864. Throughput: 0: 8214.7. Samples: 1573376. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:01:07,177][494436] Avg episode reward: [(0, '224.650')] +[2026-06-04 12:01:10,751][495491] Updated weights for policy 0, policy_version 3121 (0.0011) +[2026-06-04 12:01:12,176][494436] Fps is (10 sec: 9830.4, 60 sec: 8192.0, 300 sec: 8234.0). Total num frames: 1605632. Throughput: 0: 8271.6. Samples: 1598464. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 12:01:12,177][494436] Avg episode reward: [(0, '226.350')] +[2026-06-04 12:01:14,803][495491] Updated weights for policy 0, policy_version 3193 (0.0010) +[2026-06-04 12:01:17,176][494436] Fps is (10 sec: 6553.7, 60 sec: 8192.0, 300 sec: 8192.0). Total num frames: 1638400. Throughput: 0: 8237.5. Samples: 1648128. Policy #0 lag: (min: 19.0, avg: 22.0, max: 83.0) +[2026-06-04 12:01:17,177][494436] Avg episode reward: [(0, '241.050')] +[2026-06-04 12:01:18,045][495402] Signal inference workers to stop experience collection... (150 times) +[2026-06-04 12:01:18,075][495491] InferenceWorker_p0-w0: stopping experience collection (150 times) +[2026-06-04 12:01:18,194][495402] Signal inference workers to resume experience collection... (150 times) +[2026-06-04 12:01:18,195][495491] InferenceWorker_p0-w0: resuming experience collection (150 times) +[2026-06-04 12:01:22,176][494436] Fps is (10 sec: 7372.9, 60 sec: 8328.6, 300 sec: 8192.0). Total num frames: 1679360. Throughput: 0: 8328.6. Samples: 1700864. Policy #0 lag: (min: 47.0, avg: 50.6, max: 111.0) +[2026-06-04 12:01:22,177][494436] Avg episode reward: [(0, '241.500')] +[2026-06-04 12:01:22,210][495491] Updated weights for policy 0, policy_version 3296 (0.0012) +[2026-06-04 12:01:26,571][495491] Updated weights for policy 0, policy_version 3388 (0.0013) +[2026-06-04 12:01:27,176][494436] Fps is (10 sec: 9830.4, 60 sec: 8328.5, 300 sec: 8270.0). Total num frames: 1736704. Throughput: 0: 8317.1. Samples: 1724416. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:01:27,177][494436] Avg episode reward: [(0, '232.150')] +[2026-06-04 12:01:32,176][494436] Fps is (10 sec: 9011.0, 60 sec: 8192.0, 300 sec: 8230.1). Total num frames: 1769472. Throughput: 0: 8248.9. Samples: 1771008. Policy #0 lag: (min: 31.0, avg: 33.8, max: 95.0) +[2026-06-04 12:01:32,177][494436] Avg episode reward: [(0, '220.400')] +[2026-06-04 12:01:34,087][495491] Updated weights for policy 0, policy_version 3472 (0.0011) +[2026-06-04 12:01:37,176][494436] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8192.0). Total num frames: 1802240. Throughput: 0: 8294.4. Samples: 1822208. Policy #0 lag: (min: 63.0, avg: 65.9, max: 127.0) +[2026-06-04 12:01:37,177][494436] Avg episode reward: [(0, '226.050')] +[2026-06-04 12:01:38,507][495491] Updated weights for policy 0, policy_version 3571 (0.0012) +[2026-06-04 12:01:42,176][494436] Fps is (10 sec: 7373.0, 60 sec: 8328.6, 300 sec: 8192.0). Total num frames: 1843200. Throughput: 0: 8248.9. Samples: 1846272. Policy #0 lag: (min: 2.0, avg: 4.9, max: 66.0) +[2026-06-04 12:01:42,177][494436] Avg episode reward: [(0, '229.350')] +[2026-06-04 12:01:42,501][495491] Updated weights for policy 0, policy_version 3640 (0.0012) +[2026-06-04 12:01:47,176][494436] Fps is (10 sec: 9830.5, 60 sec: 8192.0, 300 sec: 8263.2). Total num frames: 1900544. Throughput: 0: 8294.4. Samples: 1898496. Policy #0 lag: (min: 62.0, avg: 65.9, max: 126.0) +[2026-06-04 12:01:47,176][494436] Avg episode reward: [(0, '243.750')] +[2026-06-04 12:01:49,663][495491] Updated weights for policy 0, policy_version 3728 (0.0012) +[2026-06-04 12:01:52,176][494436] Fps is (10 sec: 9011.1, 60 sec: 8192.0, 300 sec: 8226.9). Total num frames: 1933312. Throughput: 0: 8305.8. Samples: 1947136. Policy #0 lag: (min: 62.0, avg: 65.9, max: 126.0) +[2026-06-04 12:01:52,177][494436] Avg episode reward: [(0, '267.550')] +[2026-06-04 12:01:52,181][495402] Saving new best policy, reward=267.550! +[2026-06-04 12:01:54,020][495491] Updated weights for policy 0, policy_version 3827 (0.0012) +[2026-06-04 12:01:57,176][494436] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8192.0). Total num frames: 1966080. Throughput: 0: 8328.5. Samples: 1973248. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:01:57,177][494436] Avg episode reward: [(0, '267.800')] +[2026-06-04 12:01:57,180][495402] Saving new best policy, reward=267.800! +[2026-06-04 12:01:58,469][495491] Updated weights for policy 0, policy_version 3904 (0.0011) +[2026-06-04 12:02:02,176][494436] Fps is (10 sec: 9011.0, 60 sec: 8601.6, 300 sec: 8258.9). Total num frames: 2023424. Throughput: 0: 8294.4. Samples: 2021376. Policy #0 lag: (min: 47.0, avg: 49.8, max: 111.0) +[2026-06-04 12:02:02,177][494436] Avg episode reward: [(0, '262.100')] +[2026-06-04 12:02:05,701][495491] Updated weights for policy 0, policy_version 4000 (0.0015) +[2026-06-04 12:02:07,176][494436] Fps is (10 sec: 9830.2, 60 sec: 8192.0, 300 sec: 8257.5). Total num frames: 2064384. Throughput: 0: 8248.8. Samples: 2072064. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 12:02:07,177][494436] Avg episode reward: [(0, '254.800')] +[2026-06-04 12:02:09,936][495491] Updated weights for policy 0, policy_version 4082 (0.0012) +[2026-06-04 12:02:12,176][494436] Fps is (10 sec: 7372.9, 60 sec: 8192.0, 300 sec: 8224.1). Total num frames: 2097152. Throughput: 0: 8294.4. Samples: 2097664. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 12:02:12,177][494436] Avg episode reward: [(0, '284.000')] +[2026-06-04 12:02:12,182][495402] Saving new best policy, reward=284.000! +[2026-06-04 12:02:13,909][495491] Updated weights for policy 0, policy_version 4149 (0.0011) +[2026-06-04 12:02:17,176][494436] Fps is (10 sec: 6553.7, 60 sec: 8192.0, 300 sec: 8192.0). Total num frames: 2129920. Throughput: 0: 8362.7. Samples: 2147328. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 12:02:17,177][494436] Avg episode reward: [(0, '270.950')] +[2026-06-04 12:02:21,372][495491] Updated weights for policy 0, policy_version 4240 (0.0013) +[2026-06-04 12:02:21,536][495402] Signal inference workers to stop experience collection... (200 times) +[2026-06-04 12:02:21,565][495491] InferenceWorker_p0-w0: stopping experience collection (200 times) +[2026-06-04 12:02:21,700][495402] Signal inference workers to resume experience collection... (200 times) +[2026-06-04 12:02:21,701][495491] InferenceWorker_p0-w0: resuming experience collection (200 times) +[2026-06-04 12:02:22,176][494436] Fps is (10 sec: 9830.4, 60 sec: 8601.6, 300 sec: 8284.7). Total num frames: 2195456. Throughput: 0: 8317.1. Samples: 2196480. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:02:22,177][494436] Avg episode reward: [(0, '248.450')] +[2026-06-04 12:02:25,449][495491] Updated weights for policy 0, policy_version 4336 (0.0011) +[2026-06-04 12:02:27,176][494436] Fps is (10 sec: 9830.4, 60 sec: 8192.0, 300 sec: 8252.7). Total num frames: 2228224. Throughput: 0: 8396.8. Samples: 2224128. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:02:27,177][494436] Avg episode reward: [(0, '236.550')] +[2026-06-04 12:02:29,394][495491] Updated weights for policy 0, policy_version 4407 (0.0010) +[2026-06-04 12:02:32,176][494436] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8221.8). Total num frames: 2260992. Throughput: 0: 8351.3. Samples: 2274304. Policy #0 lag: (min: 15.0, avg: 19.7, max: 79.0) +[2026-06-04 12:02:32,177][494436] Avg episode reward: [(0, '234.900')] +[2026-06-04 12:02:36,748][495491] Updated weights for policy 0, policy_version 4512 (0.0015) +[2026-06-04 12:02:37,176][494436] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8309.0). Total num frames: 2326528. Throughput: 0: 8442.3. Samples: 2327040. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:02:37,177][494436] Avg episode reward: [(0, '264.150')] +[2026-06-04 12:02:40,863][495491] Updated weights for policy 0, policy_version 4599 (0.0013) +[2026-06-04 12:02:42,176][494436] Fps is (10 sec: 9830.4, 60 sec: 8601.6, 300 sec: 8278.2). Total num frames: 2359296. Throughput: 0: 8430.9. Samples: 2352640. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:02:42,177][494436] Avg episode reward: [(0, '240.050')] +[2026-06-04 12:02:45,000][495491] Updated weights for policy 0, policy_version 4672 (0.0012) +[2026-06-04 12:02:47,176][494436] Fps is (10 sec: 6553.7, 60 sec: 8192.0, 300 sec: 8248.5). Total num frames: 2392064. Throughput: 0: 8419.6. Samples: 2400256. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:02:47,177][494436] Avg episode reward: [(0, '250.500')] +[2026-06-04 12:02:52,176][494436] Fps is (10 sec: 7372.7, 60 sec: 8328.5, 300 sec: 8247.5). Total num frames: 2433024. Throughput: 0: 8476.4. Samples: 2453504. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:02:52,178][494436] Avg episode reward: [(0, '246.200')] +[2026-06-04 12:02:52,468][495491] Updated weights for policy 0, policy_version 4784 (0.0014) +[2026-06-04 12:02:56,390][495491] Updated weights for policy 0, policy_version 4862 (0.0012) +[2026-06-04 12:02:57,176][494436] Fps is (10 sec: 9830.2, 60 sec: 8738.1, 300 sec: 8330.8). Total num frames: 2490368. Throughput: 0: 8476.4. Samples: 2479104. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:02:57,177][494436] Avg episode reward: [(0, '270.100')] +[2026-06-04 12:03:02,177][494436] Fps is (10 sec: 9010.7, 60 sec: 8328.5, 300 sec: 8330.8). Total num frames: 2523136. Throughput: 0: 8408.0. Samples: 2525696. Policy #0 lag: (min: 1.0, avg: 3.8, max: 65.0) +[2026-06-04 12:03:02,180][494436] Avg episode reward: [(0, '284.200')] +[2026-06-04 12:03:02,185][495402] Saving new best policy, reward=284.200! +[2026-06-04 12:03:03,843][495491] Updated weights for policy 0, policy_version 4944 (0.0012) +[2026-06-04 12:03:07,176][494436] Fps is (10 sec: 6553.5, 60 sec: 8192.0, 300 sec: 8219.8). Total num frames: 2555904. Throughput: 0: 8487.8. Samples: 2578432. Policy #0 lag: (min: 1.0, avg: 3.8, max: 65.0) +[2026-06-04 12:03:07,177][494436] Avg episode reward: [(0, '279.550')] +[2026-06-04 12:03:08,060][495491] Updated weights for policy 0, policy_version 5045 (0.0014) +[2026-06-04 12:03:12,176][494436] Fps is (10 sec: 9831.2, 60 sec: 8738.2, 300 sec: 8330.8). Total num frames: 2621440. Throughput: 0: 8476.5. Samples: 2605568. Policy #0 lag: (min: 12.0, avg: 14.9, max: 76.0) +[2026-06-04 12:03:12,177][494436] Avg episode reward: [(0, '287.500')] +[2026-06-04 12:03:12,180][495402] Saving new best policy, reward=287.500! +[2026-06-04 12:03:14,922][495491] Updated weights for policy 0, policy_version 5136 (0.0013) +[2026-06-04 12:03:17,176][494436] Fps is (10 sec: 9830.6, 60 sec: 8738.1, 300 sec: 8303.1). Total num frames: 2654208. Throughput: 0: 8544.7. Samples: 2658816. Policy #0 lag: (min: 6.0, avg: 9.8, max: 70.0) +[2026-06-04 12:03:17,177][494436] Avg episode reward: [(0, '295.650')] +[2026-06-04 12:03:17,180][495402] Saving new best policy, reward=295.650! +[2026-06-04 12:03:18,913][495491] Updated weights for policy 0, policy_version 5217 (0.0011) +[2026-06-04 12:03:22,176][494436] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8219.8). Total num frames: 2686976. Throughput: 0: 8522.0. Samples: 2710528. Policy #0 lag: (min: 6.0, avg: 9.8, max: 70.0) +[2026-06-04 12:03:22,177][494436] Avg episode reward: [(0, '316.900')] +[2026-06-04 12:03:22,182][495402] Saving new best policy, reward=316.900! +[2026-06-04 12:03:23,159][495491] Updated weights for policy 0, policy_version 5308 (0.0013) +[2026-06-04 12:03:26,490][495402] Signal inference workers to stop experience collection... (250 times) +[2026-06-04 12:03:26,521][495491] InferenceWorker_p0-w0: stopping experience collection (250 times) +[2026-06-04 12:03:26,663][495402] Signal inference workers to resume experience collection... (250 times) +[2026-06-04 12:03:26,664][495491] InferenceWorker_p0-w0: resuming experience collection (250 times) +[2026-06-04 12:03:27,176][494436] Fps is (10 sec: 9830.2, 60 sec: 8738.1, 300 sec: 8330.8). Total num frames: 2752512. Throughput: 0: 8510.5. Samples: 2735616. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 12:03:27,178][494436] Avg episode reward: [(0, '318.350')] +[2026-06-04 12:03:27,181][495402] Saving new best policy, reward=318.350! +[2026-06-04 12:03:30,488][495491] Updated weights for policy 0, policy_version 5408 (0.0015) +[2026-06-04 12:03:32,176][494436] Fps is (10 sec: 9830.3, 60 sec: 8738.1, 300 sec: 8330.8). Total num frames: 2785280. Throughput: 0: 8590.2. Samples: 2786816. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 12:03:32,177][494436] Avg episode reward: [(0, '319.800')] +[2026-06-04 12:03:32,180][495402] Saving new best policy, reward=319.800! +[2026-06-04 12:03:34,345][495491] Updated weights for policy 0, policy_version 5490 (0.0011) +[2026-06-04 12:03:37,176][494436] Fps is (10 sec: 6553.7, 60 sec: 8192.0, 300 sec: 8330.8). Total num frames: 2818048. Throughput: 0: 8647.1. Samples: 2842624. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 12:03:37,177][494436] Avg episode reward: [(0, '292.150')] +[2026-06-04 12:03:38,052][495491] Updated weights for policy 0, policy_version 5564 (0.0010) +[2026-06-04 12:03:42,176][494436] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8330.8). Total num frames: 2883584. Throughput: 0: 8647.1. Samples: 2868224. Policy #0 lag: (min: 9.0, avg: 13.1, max: 73.0) +[2026-06-04 12:03:42,177][494436] Avg episode reward: [(0, '297.600')] +[2026-06-04 12:03:45,473][495491] Updated weights for policy 0, policy_version 5664 (0.0013) +[2026-06-04 12:03:47,176][494436] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8330.8). Total num frames: 2916352. Throughput: 0: 8704.1. Samples: 2917376. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:03:47,178][494436] Avg episode reward: [(0, '312.650')] +[2026-06-04 12:03:49,435][495491] Updated weights for policy 0, policy_version 5744 (0.0011) +[2026-06-04 12:03:52,176][494436] Fps is (10 sec: 6553.6, 60 sec: 8601.6, 300 sec: 8330.9). Total num frames: 2949120. Throughput: 0: 8726.8. Samples: 2971136. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:03:52,178][494436] Avg episode reward: [(0, '343.100')] +[2026-06-04 12:03:52,182][495402] Saving new best policy, reward=343.100! +[2026-06-04 12:03:53,303][495491] Updated weights for policy 0, policy_version 5814 (0.0010) +[2026-06-04 12:03:57,176][494436] Fps is (10 sec: 9011.3, 60 sec: 8601.6, 300 sec: 8414.2). Total num frames: 3006464. Throughput: 0: 8647.1. Samples: 2994688. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:03:57,177][494436] Avg episode reward: [(0, '325.750')] +[2026-06-04 12:04:00,524][495491] Updated weights for policy 0, policy_version 5904 (0.0013) +[2026-06-04 12:04:02,176][494436] Fps is (10 sec: 9830.4, 60 sec: 8738.3, 300 sec: 8358.6). Total num frames: 3047424. Throughput: 0: 8647.1. Samples: 3047936. Policy #0 lag: (min: 6.0, avg: 9.0, max: 70.0) +[2026-06-04 12:04:02,177][494436] Avg episode reward: [(0, '331.600')] +[2026-06-04 12:04:04,624][495491] Updated weights for policy 0, policy_version 6000 (0.0012) +[2026-06-04 12:04:07,176][494436] Fps is (10 sec: 7372.8, 60 sec: 8738.2, 300 sec: 8330.9). Total num frames: 3080192. Throughput: 0: 8635.7. Samples: 3099136. Policy #0 lag: (min: 6.0, avg: 9.0, max: 70.0) +[2026-06-04 12:04:07,177][494436] Avg episode reward: [(0, '327.150')] +[2026-06-04 12:04:08,408][495491] Updated weights for policy 0, policy_version 6065 (0.0013) +[2026-06-04 12:04:12,176][494436] Fps is (10 sec: 9011.1, 60 sec: 8601.6, 300 sec: 8414.2). Total num frames: 3137536. Throughput: 0: 8658.5. Samples: 3125248. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 12:04:12,177][494436] Avg episode reward: [(0, '337.250')] +[2026-06-04 12:04:12,232][495491] Updated weights for policy 0, policy_version 6144 (0.0017) +[2026-06-04 12:04:17,176][494436] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8441.9). Total num frames: 3178496. Throughput: 0: 8715.4. Samples: 3179008. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:04:17,177][494436] Avg episode reward: [(0, '321.700')] +[2026-06-04 12:04:19,342][495491] Updated weights for policy 0, policy_version 6256 (0.0017) +[2026-06-04 12:04:22,176][494436] Fps is (10 sec: 7372.7, 60 sec: 8738.1, 300 sec: 8386.4). Total num frames: 3211264. Throughput: 0: 8647.1. Samples: 3231744. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:04:22,178][494436] Avg episode reward: [(0, '342.750')] +[2026-06-04 12:04:23,484][495491] Updated weights for policy 0, policy_version 6332 (0.0012) +[2026-06-04 12:04:27,176][494436] Fps is (10 sec: 8191.8, 60 sec: 8465.1, 300 sec: 8386.4). Total num frames: 3260416. Throughput: 0: 8624.3. Samples: 3256320. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:04:27,177][494436] Avg episode reward: [(0, '364.500')] +[2026-06-04 12:04:27,532][495402] Saving new best policy, reward=364.500! +[2026-06-04 12:04:30,615][495402] Signal inference workers to stop experience collection... (300 times) +[2026-06-04 12:04:30,643][495491] InferenceWorker_p0-w0: stopping experience collection (300 times) +[2026-06-04 12:04:30,784][495402] Signal inference workers to resume experience collection... (300 times) +[2026-06-04 12:04:30,784][495491] InferenceWorker_p0-w0: resuming experience collection (300 times) +[2026-06-04 12:04:30,787][495491] Updated weights for policy 0, policy_version 6416 (0.0011) +[2026-06-04 12:04:32,176][494436] Fps is (10 sec: 9830.6, 60 sec: 8738.1, 300 sec: 8441.9). Total num frames: 3309568. Throughput: 0: 8704.0. Samples: 3309056. Policy #0 lag: (min: 6.0, avg: 10.2, max: 70.0) +[2026-06-04 12:04:32,177][494436] Avg episode reward: [(0, '387.700')] +[2026-06-04 12:04:32,180][495402] Saving new best policy, reward=387.700! +[2026-06-04 12:04:34,772][495491] Updated weights for policy 0, policy_version 6512 (0.0019) +[2026-06-04 12:04:37,176][494436] Fps is (10 sec: 8192.2, 60 sec: 8738.2, 300 sec: 8441.9). Total num frames: 3342336. Throughput: 0: 8681.2. Samples: 3361792. Policy #0 lag: (min: 6.0, avg: 10.2, max: 70.0) +[2026-06-04 12:04:37,177][494436] Avg episode reward: [(0, '381.200')] +[2026-06-04 12:04:38,515][495491] Updated weights for policy 0, policy_version 6586 (0.0013) +[2026-06-04 12:04:42,176][494436] Fps is (10 sec: 9011.3, 60 sec: 8601.6, 300 sec: 8441.9). Total num frames: 3399680. Throughput: 0: 8704.0. Samples: 3386368. Policy #0 lag: (min: 5.0, avg: 8.0, max: 69.0) +[2026-06-04 12:04:42,177][494436] Avg episode reward: [(0, '411.850')] +[2026-06-04 12:04:42,282][495402] Saving new best policy, reward=411.850! +[2026-06-04 12:04:42,324][495491] Updated weights for policy 0, policy_version 6656 (0.0012) +[2026-06-04 12:04:47,176][494436] Fps is (10 sec: 9830.4, 60 sec: 8738.2, 300 sec: 8441.9). Total num frames: 3440640. Throughput: 0: 8760.9. Samples: 3442176. Policy #0 lag: (min: 3.0, avg: 6.0, max: 67.0) +[2026-06-04 12:04:47,177][494436] Avg episode reward: [(0, '427.400')] +[2026-06-04 12:04:47,180][495402] Saving new best policy, reward=427.400! +[2026-06-04 12:04:49,302][495491] Updated weights for policy 0, policy_version 6768 (0.0010) +[2026-06-04 12:04:52,176][494436] Fps is (10 sec: 7372.7, 60 sec: 8738.1, 300 sec: 8441.9). Total num frames: 3473408. Throughput: 0: 8806.4. Samples: 3495424. Policy #0 lag: (min: 3.0, avg: 6.0, max: 67.0) +[2026-06-04 12:04:52,177][494436] Avg episode reward: [(0, '435.950')] +[2026-06-04 12:04:52,181][495402] Saving new best policy, reward=435.950! +[2026-06-04 12:04:53,195][495491] Updated weights for policy 0, policy_version 6842 (0.0011) +[2026-06-04 12:04:56,969][495491] Updated weights for policy 0, policy_version 6912 (0.0013) +[2026-06-04 12:04:57,176][494436] Fps is (10 sec: 9830.2, 60 sec: 8874.7, 300 sec: 8553.0). Total num frames: 3538944. Throughput: 0: 8806.4. Samples: 3521536. Policy #0 lag: (min: 12.0, avg: 16.0, max: 76.0) +[2026-06-04 12:04:57,177][494436] Avg episode reward: [(0, '430.550')] +[2026-06-04 12:05:02,176][494436] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8525.2). Total num frames: 3571712. Throughput: 0: 8760.9. Samples: 3573248. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 12:05:02,177][494436] Avg episode reward: [(0, '412.700')] +[2026-06-04 12:05:04,195][495491] Updated weights for policy 0, policy_version 7024 (0.0014) +[2026-06-04 12:05:07,176][494436] Fps is (10 sec: 6553.7, 60 sec: 8738.1, 300 sec: 8441.9). Total num frames: 3604480. Throughput: 0: 8806.4. Samples: 3628032. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 12:05:07,177][494436] Avg episode reward: [(0, '419.150')] +[2026-06-04 12:05:08,158][495491] Updated weights for policy 0, policy_version 7097 (0.0012) +[2026-06-04 12:05:12,136][495491] Updated weights for policy 0, policy_version 7168 (0.0012) +[2026-06-04 12:05:12,176][494436] Fps is (10 sec: 9830.5, 60 sec: 8874.7, 300 sec: 8553.0). Total num frames: 3670016. Throughput: 0: 8806.5. Samples: 3652608. Policy #0 lag: (min: 12.0, avg: 14.9, max: 76.0) +[2026-06-04 12:05:12,177][494436] Avg episode reward: [(0, '444.500')] +[2026-06-04 12:05:12,181][495402] Saving new best policy, reward=444.500! +[2026-06-04 12:05:17,176][494436] Fps is (10 sec: 9830.3, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 3702784. Throughput: 0: 8772.2. Samples: 3703808. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:05:17,178][494436] Avg episode reward: [(0, '440.000')] +[2026-06-04 12:05:19,074][495491] Updated weights for policy 0, policy_version 7264 (0.0013) +[2026-06-04 12:05:22,176][494436] Fps is (10 sec: 6553.6, 60 sec: 8738.2, 300 sec: 8469.7). Total num frames: 3735552. Throughput: 0: 8795.0. Samples: 3757568. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:05:22,177][494436] Avg episode reward: [(0, '427.150')] +[2026-06-04 12:05:23,244][495491] Updated weights for policy 0, policy_version 7353 (0.0014) +[2026-06-04 12:05:27,176][494436] Fps is (10 sec: 9011.4, 60 sec: 8874.7, 300 sec: 8525.2). Total num frames: 3792896. Throughput: 0: 8817.8. Samples: 3783168. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 12:05:27,177][494436] Avg episode reward: [(0, '417.800')] +[2026-06-04 12:05:27,321][495491] Updated weights for policy 0, policy_version 7424 (0.0010) +[2026-06-04 12:05:30,826][495402] Signal inference workers to stop experience collection... (350 times) +[2026-06-04 12:05:30,858][495491] InferenceWorker_p0-w0: stopping experience collection (350 times) +[2026-06-04 12:05:30,967][495402] Signal inference workers to resume experience collection... (350 times) +[2026-06-04 12:05:30,968][495491] InferenceWorker_p0-w0: resuming experience collection (350 times) +[2026-06-04 12:05:32,176][494436] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 3833856. Throughput: 0: 8704.0. Samples: 3833856. Policy #0 lag: (min: 11.0, avg: 13.8, max: 75.0) +[2026-06-04 12:05:32,177][494436] Avg episode reward: [(0, '443.400')] +[2026-06-04 12:05:34,303][495491] Updated weights for policy 0, policy_version 7489 (0.0012) +[2026-06-04 12:05:37,176][494436] Fps is (10 sec: 7372.9, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 3866624. Throughput: 0: 8681.3. Samples: 3886080. Policy #0 lag: (min: 11.0, avg: 13.8, max: 75.0) +[2026-06-04 12:05:37,177][494436] Avg episode reward: [(0, '434.600')] +[2026-06-04 12:05:38,294][495491] Updated weights for policy 0, policy_version 7600 (0.0010) +[2026-06-04 12:05:42,167][495491] Updated weights for policy 0, policy_version 7671 (0.0011) +[2026-06-04 12:05:42,176][494436] Fps is (10 sec: 9011.1, 60 sec: 8738.1, 300 sec: 8525.2). Total num frames: 3923968. Throughput: 0: 8681.3. Samples: 3912192. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:05:42,177][494436] Avg episode reward: [(0, '459.550')] +[2026-06-04 12:05:42,256][495402] Saving new best policy, reward=459.550! +[2026-06-04 12:05:47,176][494436] Fps is (10 sec: 9830.3, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 3964928. Throughput: 0: 8726.8. Samples: 3965952. Policy #0 lag: (min: 0.0, avg: 3.6, max: 64.0) +[2026-06-04 12:05:47,177][494436] Avg episode reward: [(0, '493.050')] +[2026-06-04 12:05:47,180][495402] Saving new best policy, reward=493.050! +[2026-06-04 12:05:48,966][495491] Updated weights for policy 0, policy_version 7760 (0.0011) +[2026-06-04 12:05:52,176][494436] Fps is (10 sec: 7372.8, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 3997696. Throughput: 0: 8715.4. Samples: 4020224. Policy #0 lag: (min: 0.0, avg: 3.6, max: 64.0) +[2026-06-04 12:05:52,177][494436] Avg episode reward: [(0, '505.450')] +[2026-06-04 12:05:52,180][495402] Saving new best policy, reward=505.450! +[2026-06-04 12:05:53,022][495491] Updated weights for policy 0, policy_version 7856 (0.0009) +[2026-06-04 12:05:56,718][495491] Updated weights for policy 0, policy_version 7936 (0.0011) +[2026-06-04 12:05:57,176][494436] Fps is (10 sec: 9830.4, 60 sec: 8738.2, 300 sec: 8664.1). Total num frames: 4063232. Throughput: 0: 8760.9. Samples: 4046848. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:05:57,177][494436] Avg episode reward: [(0, '529.150')] +[2026-06-04 12:05:57,181][495402] Saving new best policy, reward=529.150! +[2026-06-04 12:06:02,176][494436] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 4096000. Throughput: 0: 8852.0. Samples: 4102144. Policy #0 lag: (min: 7.0, avg: 9.9, max: 71.0) +[2026-06-04 12:06:02,177][494436] Avg episode reward: [(0, '492.400')] +[2026-06-04 12:06:03,525][495491] Updated weights for policy 0, policy_version 8016 (0.0011) +[2026-06-04 12:06:07,176][494436] Fps is (10 sec: 6553.6, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 4128768. Throughput: 0: 8840.5. Samples: 4155392. Policy #0 lag: (min: 7.0, avg: 9.9, max: 71.0) +[2026-06-04 12:06:07,177][494436] Avg episode reward: [(0, '461.800')] +[2026-06-04 12:06:07,712][495491] Updated weights for policy 0, policy_version 8116 (0.0012) +[2026-06-04 12:06:11,184][495491] Updated weights for policy 0, policy_version 8187 (0.0013) +[2026-06-04 12:06:12,176][494436] Fps is (10 sec: 9830.2, 60 sec: 8738.1, 300 sec: 8664.1). Total num frames: 4194304. Throughput: 0: 8897.4. Samples: 4183552. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 12:06:12,178][494436] Avg episode reward: [(0, '478.300')] +[2026-06-04 12:06:17,176][494436] Fps is (10 sec: 9830.4, 60 sec: 8738.2, 300 sec: 8636.3). Total num frames: 4227072. Throughput: 0: 8931.5. Samples: 4235776. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 12:06:17,177][494436] Avg episode reward: [(0, '498.050')] +[2026-06-04 12:06:18,190][495491] Updated weights for policy 0, policy_version 8273 (0.0012) +[2026-06-04 12:06:21,947][495491] Updated weights for policy 0, policy_version 8368 (0.0011) +[2026-06-04 12:06:22,176][494436] Fps is (10 sec: 9830.7, 60 sec: 9284.3, 300 sec: 8664.1). Total num frames: 4292608. Throughput: 0: 9045.3. Samples: 4293120. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 12:06:22,177][494436] Avg episode reward: [(0, '500.300')] +[2026-06-04 12:06:25,777][495491] Updated weights for policy 0, policy_version 8444 (0.0011) +[2026-06-04 12:06:27,176][494436] Fps is (10 sec: 9830.4, 60 sec: 8874.7, 300 sec: 8664.1). Total num frames: 4325376. Throughput: 0: 9045.3. Samples: 4319232. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 12:06:27,177][494436] Avg episode reward: [(0, '548.000')] +[2026-06-04 12:06:27,182][495402] Saving new best policy, reward=548.000! +[2026-06-04 12:06:32,176][494436] Fps is (10 sec: 6553.5, 60 sec: 8738.1, 300 sec: 8664.1). Total num frames: 4358144. Throughput: 0: 8999.8. Samples: 4370944. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:06:32,177][494436] Avg episode reward: [(0, '597.100')] +[2026-06-04 12:06:32,181][495402] Saving new best policy, reward=597.100! +[2026-06-04 12:06:32,603][495402] Signal inference workers to stop experience collection... (400 times) +[2026-06-04 12:06:32,603][495491] Updated weights for policy 0, policy_version 8528 (0.0012) +[2026-06-04 12:06:32,633][495491] InferenceWorker_p0-w0: stopping experience collection (400 times) +[2026-06-04 12:06:32,736][495402] Signal inference workers to resume experience collection... (400 times) +[2026-06-04 12:06:32,737][495491] InferenceWorker_p0-w0: resuming experience collection (400 times) +[2026-06-04 12:06:36,650][495491] Updated weights for policy 0, policy_version 8627 (0.0013) +[2026-06-04 12:06:37,176][494436] Fps is (10 sec: 9830.3, 60 sec: 9284.2, 300 sec: 8747.4). Total num frames: 4423680. Throughput: 0: 8999.8. Samples: 4425216. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:06:37,177][494436] Avg episode reward: [(0, '672.350')] +[2026-06-04 12:06:37,182][495402] Saving new best policy, reward=672.350! +[2026-06-04 12:06:42,176][494436] Fps is (10 sec: 9830.1, 60 sec: 8874.6, 300 sec: 8664.1). Total num frames: 4456448. Throughput: 0: 9068.0. Samples: 4454912. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:06:42,177][494436] Avg episode reward: [(0, '724.950')] +[2026-06-04 12:06:42,182][495402] Saving new best policy, reward=724.950! +[2026-06-04 12:06:43,464][495491] Updated weights for policy 0, policy_version 8720 (0.0010) +[2026-06-04 12:06:46,915][495491] Updated weights for policy 0, policy_version 8769 (0.0011) +[2026-06-04 12:06:47,176][494436] Fps is (10 sec: 8192.1, 60 sec: 9011.2, 300 sec: 8719.6). Total num frames: 4505600. Throughput: 0: 9033.9. Samples: 4508672. Policy #0 lag: (min: 24.0, avg: 27.7, max: 88.0) +[2026-06-04 12:06:47,177][494436] Avg episode reward: [(0, '653.750')] +[2026-06-04 12:06:50,675][495491] Updated weights for policy 0, policy_version 8864 (0.0010) +[2026-06-04 12:06:52,176][494436] Fps is (10 sec: 9830.6, 60 sec: 9284.3, 300 sec: 8775.2). Total num frames: 4554752. Throughput: 0: 9056.7. Samples: 4562944. Policy #0 lag: (min: 63.0, avg: 66.9, max: 127.0) +[2026-06-04 12:06:52,177][494436] Avg episode reward: [(0, '697.000')] +[2026-06-04 12:06:54,533][495491] Updated weights for policy 0, policy_version 8947 (0.0013) +[2026-06-04 12:06:57,176][494436] Fps is (10 sec: 8192.1, 60 sec: 8738.1, 300 sec: 8691.9). Total num frames: 4587520. Throughput: 0: 9022.6. Samples: 4589568. Policy #0 lag: (min: 63.0, avg: 66.9, max: 127.0) +[2026-06-04 12:06:57,177][494436] Avg episode reward: [(0, '648.450')] +[2026-06-04 12:06:58,121][495491] Updated weights for policy 0, policy_version 9023 (0.0011) +[2026-06-04 12:07:01,744][495491] Updated weights for policy 0, policy_version 9088 (0.0013) +[2026-06-04 12:07:02,176][494436] Fps is (10 sec: 9830.3, 60 sec: 9284.2, 300 sec: 8775.2). Total num frames: 4653056. Throughput: 0: 9170.5. Samples: 4648448. Policy #0 lag: (min: 7.0, avg: 10.9, max: 71.0) +[2026-06-04 12:07:02,177][494436] Avg episode reward: [(0, '629.650')] +[2026-06-04 12:07:07,176][494436] Fps is (10 sec: 9830.3, 60 sec: 9284.3, 300 sec: 8775.2). Total num frames: 4685824. Throughput: 0: 9045.3. Samples: 4700160. Policy #0 lag: (min: 7.0, avg: 10.9, max: 71.0) +[2026-06-04 12:07:07,178][494436] Avg episode reward: [(0, '628.150')] +[2026-06-04 12:07:08,442][495491] Updated weights for policy 0, policy_version 9168 (0.0013) +[2026-06-04 12:07:12,162][495491] Updated weights for policy 0, policy_version 9265 (0.0011) +[2026-06-04 12:07:12,176][494436] Fps is (10 sec: 9011.3, 60 sec: 9147.8, 300 sec: 8858.5). Total num frames: 4743168. Throughput: 0: 9090.8. Samples: 4728320. Policy #0 lag: (min: 47.0, avg: 51.6, max: 111.0) +[2026-06-04 12:07:12,177][494436] Avg episode reward: [(0, '633.250')] +[2026-06-04 12:07:15,858][495491] Updated weights for policy 0, policy_version 9338 (0.0012) +[2026-06-04 12:07:17,176][494436] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 8775.2). Total num frames: 4784128. Throughput: 0: 9216.0. Samples: 4785664. Policy #0 lag: (min: 47.0, avg: 51.6, max: 111.0) +[2026-06-04 12:07:17,177][494436] Avg episode reward: [(0, '707.300')] +[2026-06-04 12:07:22,176][494436] Fps is (10 sec: 7372.7, 60 sec: 8738.1, 300 sec: 8775.2). Total num frames: 4816896. Throughput: 0: 9193.2. Samples: 4838912. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:07:22,177][494436] Avg episode reward: [(0, '766.200')] +[2026-06-04 12:07:22,181][495402] Saving new best policy, reward=766.200! +[2026-06-04 12:07:22,748][495491] Updated weights for policy 0, policy_version 9409 (0.0014) +[2026-06-04 12:07:26,229][495491] Updated weights for policy 0, policy_version 9488 (0.0010) +[2026-06-04 12:07:27,176][494436] Fps is (10 sec: 9830.2, 60 sec: 9284.2, 300 sec: 8886.2). Total num frames: 4882432. Throughput: 0: 9159.1. Samples: 4867072. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 12:07:27,177][494436] Avg episode reward: [(0, '802.250')] +[2026-06-04 12:07:27,181][495402] Saving new best policy, reward=802.250! +[2026-06-04 12:07:30,121][495491] Updated weights for policy 0, policy_version 9589 (0.0009) +[2026-06-04 12:07:32,176][494436] Fps is (10 sec: 9830.6, 60 sec: 9284.3, 300 sec: 8775.2). Total num frames: 4915200. Throughput: 0: 9159.1. Samples: 4920832. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:07:32,177][494436] Avg episode reward: [(0, '840.900')] +[2026-06-04 12:07:32,181][495402] Saving new best policy, reward=840.900! +[2026-06-04 12:07:33,248][495402] Signal inference workers to stop experience collection... (450 times) +[2026-06-04 12:07:33,299][495491] InferenceWorker_p0-w0: stopping experience collection (450 times) +[2026-06-04 12:07:33,407][495402] Signal inference workers to resume experience collection... (450 times) +[2026-06-04 12:07:33,408][495491] InferenceWorker_p0-w0: resuming experience collection (450 times) +[2026-06-04 12:07:36,863][495491] Updated weights for policy 0, policy_version 9667 (0.0014) +[2026-06-04 12:07:37,176][494436] Fps is (10 sec: 8192.1, 60 sec: 9011.2, 300 sec: 8830.7). Total num frames: 4964352. Throughput: 0: 9227.4. Samples: 4978176. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:07:37,177][494436] Avg episode reward: [(0, '772.800')] +[2026-06-04 12:07:40,962][495491] Updated weights for policy 0, policy_version 9776 (0.0013) +[2026-06-04 12:07:42,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8886.2). Total num frames: 5013504. Throughput: 0: 9227.4. Samples: 5004800. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 12:07:42,177][494436] Avg episode reward: [(0, '819.250')] +[2026-06-04 12:07:42,181][495402] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride4_seed13/checkpoint_p0/checkpoint_000009792_5013504.pth... +[2026-06-04 12:07:44,659][495491] Updated weights for policy 0, policy_version 9853 (0.0010) +[2026-06-04 12:07:47,176][494436] Fps is (10 sec: 8192.1, 60 sec: 9011.2, 300 sec: 8858.5). Total num frames: 5046272. Throughput: 0: 9125.0. Samples: 5059072. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 12:07:47,177][494436] Avg episode reward: [(0, '835.000')] +[2026-06-04 12:07:51,275][495491] Updated weights for policy 0, policy_version 9968 (0.0014) +[2026-06-04 12:07:52,176][494436] Fps is (10 sec: 9830.2, 60 sec: 9284.3, 300 sec: 8886.2). Total num frames: 5111808. Throughput: 0: 9227.4. Samples: 5115392. Policy #0 lag: (min: 4.0, avg: 6.7, max: 68.0) +[2026-06-04 12:07:52,178][494436] Avg episode reward: [(0, '843.750')] +[2026-06-04 12:07:52,184][495402] Saving new best policy, reward=843.750! +[2026-06-04 12:07:54,794][495491] Updated weights for policy 0, policy_version 10038 (0.0010) +[2026-06-04 12:07:57,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8886.3). Total num frames: 5144576. Throughput: 0: 9272.9. Samples: 5145600. Policy #0 lag: (min: 4.0, avg: 6.7, max: 68.0) +[2026-06-04 12:07:57,177][494436] Avg episode reward: [(0, '886.200')] +[2026-06-04 12:07:57,180][495402] Saving new best policy, reward=886.200! +[2026-06-04 12:07:58,491][495491] Updated weights for policy 0, policy_version 10110 (0.0013) +[2026-06-04 12:08:02,176][494436] Fps is (10 sec: 9830.6, 60 sec: 9284.3, 300 sec: 8997.3). Total num frames: 5210112. Throughput: 0: 9204.6. Samples: 5199872. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:08:02,177][494436] Avg episode reward: [(0, '879.600')] +[2026-06-04 12:08:05,610][495491] Updated weights for policy 0, policy_version 10224 (0.0014) +[2026-06-04 12:08:07,176][494436] Fps is (10 sec: 9830.3, 60 sec: 9284.3, 300 sec: 8886.2). Total num frames: 5242880. Throughput: 0: 9204.6. Samples: 5253120. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:08:07,177][494436] Avg episode reward: [(0, '922.400')] +[2026-06-04 12:08:07,181][495402] Saving new best policy, reward=922.400! +[2026-06-04 12:08:09,229][495491] Updated weights for policy 0, policy_version 10289 (0.0012) +[2026-06-04 12:08:12,176][494436] Fps is (10 sec: 6553.4, 60 sec: 8874.6, 300 sec: 8886.2). Total num frames: 5275648. Throughput: 0: 9204.6. Samples: 5281280. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:08:12,178][494436] Avg episode reward: [(0, '986.350')] +[2026-06-04 12:08:12,431][495402] Saving new best policy, reward=986.350! +[2026-06-04 12:08:12,884][495491] Updated weights for policy 0, policy_version 10368 (0.0014) +[2026-06-04 12:08:17,176][494436] Fps is (10 sec: 9830.3, 60 sec: 9284.2, 300 sec: 8997.3). Total num frames: 5341184. Throughput: 0: 9261.5. Samples: 5337600. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 12:08:17,178][494436] Avg episode reward: [(0, '927.100')] +[2026-06-04 12:08:19,917][495491] Updated weights for policy 0, policy_version 10464 (0.0013) +[2026-06-04 12:08:22,176][494436] Fps is (10 sec: 9830.7, 60 sec: 9284.3, 300 sec: 8886.2). Total num frames: 5373952. Throughput: 0: 9159.1. Samples: 5390336. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 12:08:22,177][494436] Avg episode reward: [(0, '961.000')] +[2026-06-04 12:08:23,458][495491] Updated weights for policy 0, policy_version 10544 (0.0011) +[2026-06-04 12:08:27,176][494436] Fps is (10 sec: 9011.2, 60 sec: 9147.7, 300 sec: 8969.5). Total num frames: 5431296. Throughput: 0: 9216.0. Samples: 5419520. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:08:27,177][495491] Updated weights for policy 0, policy_version 10621 (0.0015) +[2026-06-04 12:08:27,177][494436] Avg episode reward: [(0, '914.450')] +[2026-06-04 12:08:30,342][495402] Signal inference workers to stop experience collection... (500 times) +[2026-06-04 12:08:30,372][495491] InferenceWorker_p0-w0: stopping experience collection (500 times) +[2026-06-04 12:08:30,470][495402] Signal inference workers to resume experience collection... (500 times) +[2026-06-04 12:08:30,471][495491] InferenceWorker_p0-w0: resuming experience collection (500 times) +[2026-06-04 12:08:32,176][494436] Fps is (10 sec: 9830.2, 60 sec: 9284.2, 300 sec: 8997.3). Total num frames: 5472256. Throughput: 0: 9216.0. Samples: 5473792. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 12:08:32,177][494436] Avg episode reward: [(0, '927.550')] +[2026-06-04 12:08:33,881][495491] Updated weights for policy 0, policy_version 10720 (0.0015) +[2026-06-04 12:08:37,176][494436] Fps is (10 sec: 7372.8, 60 sec: 9011.2, 300 sec: 8886.2). Total num frames: 5505024. Throughput: 0: 9272.9. Samples: 5532672. Policy #0 lag: (min: 13.0, avg: 15.9, max: 77.0) +[2026-06-04 12:08:37,177][494436] Avg episode reward: [(0, '976.950')] +[2026-06-04 12:08:37,546][495491] Updated weights for policy 0, policy_version 10803 (0.0017) +[2026-06-04 12:08:41,251][495491] Updated weights for policy 0, policy_version 10872 (0.0015) +[2026-06-04 12:08:42,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9284.2, 300 sec: 8997.3). Total num frames: 5570560. Throughput: 0: 9193.2. Samples: 5559296. Policy #0 lag: (min: 13.0, avg: 15.9, max: 77.0) +[2026-06-04 12:08:42,179][494436] Avg episode reward: [(0, '1041.400')] +[2026-06-04 12:08:42,184][495402] Saving new best policy, reward=1041.400! +[2026-06-04 12:08:44,758][495491] Updated weights for policy 0, policy_version 10940 (0.0012) +[2026-06-04 12:08:47,176][494436] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 8997.3). Total num frames: 5603328. Throughput: 0: 9250.1. Samples: 5616128. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 12:08:47,179][494436] Avg episode reward: [(0, '1135.950')] +[2026-06-04 12:08:47,184][495402] Saving new best policy, reward=1135.950! +[2026-06-04 12:08:51,029][495491] Updated weights for policy 0, policy_version 11009 (0.0012) +[2026-06-04 12:08:52,176][494436] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 9025.1). Total num frames: 5668864. Throughput: 0: 9295.7. Samples: 5671424. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 12:08:52,177][494436] Avg episode reward: [(0, '1161.500')] +[2026-06-04 12:08:52,181][495402] Saving new best policy, reward=1161.500! +[2026-06-04 12:08:54,897][495491] Updated weights for policy 0, policy_version 11120 (0.0013) +[2026-06-04 12:08:57,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9284.2, 300 sec: 8997.3). Total num frames: 5701632. Throughput: 0: 9352.6. Samples: 5702144. Policy #0 lag: (min: 13.0, avg: 16.9, max: 77.0) +[2026-06-04 12:08:57,177][494436] Avg episode reward: [(0, '1171.850')] +[2026-06-04 12:08:57,181][495402] Saving new best policy, reward=1171.850! +[2026-06-04 12:08:58,478][495491] Updated weights for policy 0, policy_version 11195 (0.0011) +[2026-06-04 12:09:02,059][495491] Updated weights for policy 0, policy_version 11263 (0.0011) +[2026-06-04 12:09:02,176][494436] Fps is (10 sec: 9830.3, 60 sec: 9284.2, 300 sec: 9108.4). Total num frames: 5767168. Throughput: 0: 9341.2. Samples: 5757952. Policy #0 lag: (min: 13.0, avg: 16.9, max: 77.0) +[2026-06-04 12:09:02,177][494436] Avg episode reward: [(0, '1228.850')] +[2026-06-04 12:09:02,181][495402] Saving new best policy, reward=1228.850! +[2026-06-04 12:09:07,176][494436] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 9025.1). Total num frames: 5799936. Throughput: 0: 9500.4. Samples: 5817856. Policy #0 lag: (min: 4.0, avg: 7.1, max: 68.0) +[2026-06-04 12:09:07,177][494436] Avg episode reward: [(0, '1238.200')] +[2026-06-04 12:09:07,180][495402] Saving new best policy, reward=1238.200! +[2026-06-04 12:09:07,959][495491] Updated weights for policy 0, policy_version 11344 (0.0012) +[2026-06-04 12:09:11,779][495491] Updated weights for policy 0, policy_version 11445 (0.0011) +[2026-06-04 12:09:12,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9108.4). Total num frames: 5865472. Throughput: 0: 9489.1. Samples: 5846528. Policy #0 lag: (min: 4.0, avg: 7.1, max: 68.0) +[2026-06-04 12:09:12,177][494436] Avg episode reward: [(0, '1242.300')] +[2026-06-04 12:09:12,181][495402] Saving new best policy, reward=1242.300! +[2026-06-04 12:09:15,101][495491] Updated weights for policy 0, policy_version 11517 (0.0011) +[2026-06-04 12:09:17,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9108.4). Total num frames: 5898240. Throughput: 0: 9614.3. Samples: 5906432. Policy #0 lag: (min: 5.0, avg: 7.8, max: 69.0) +[2026-06-04 12:09:17,177][494436] Avg episode reward: [(0, '1368.950')] +[2026-06-04 12:09:17,181][495402] Saving new best policy, reward=1368.950! +[2026-06-04 12:09:21,155][495491] Updated weights for policy 0, policy_version 11600 (0.0010) +[2026-06-04 12:09:22,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9163.9). Total num frames: 5963776. Throughput: 0: 9625.6. Samples: 5965824. Policy #0 lag: (min: 5.0, avg: 7.8, max: 69.0) +[2026-06-04 12:09:22,177][494436] Avg episode reward: [(0, '1356.450')] +[2026-06-04 12:09:24,720][495491] Updated weights for policy 0, policy_version 11696 (0.0013) +[2026-06-04 12:09:27,176][494436] Fps is (10 sec: 9830.2, 60 sec: 9420.8, 300 sec: 9108.4). Total num frames: 5996544. Throughput: 0: 9750.8. Samples: 5998080. Policy #0 lag: (min: 1.0, avg: 3.7, max: 65.0) +[2026-06-04 12:09:27,178][494436] Avg episode reward: [(0, '1335.900')] +[2026-06-04 12:09:27,618][495402] Signal inference workers to stop experience collection... (550 times) +[2026-06-04 12:09:27,647][495491] InferenceWorker_p0-w0: stopping experience collection (550 times) +[2026-06-04 12:09:27,757][495402] Signal inference workers to resume experience collection... (550 times) +[2026-06-04 12:09:27,757][495491] InferenceWorker_p0-w0: resuming experience collection (550 times) +[2026-06-04 12:09:27,975][495491] Updated weights for policy 0, policy_version 11766 (0.0011) +[2026-06-04 12:09:31,504][495491] Updated weights for policy 0, policy_version 11833 (0.0012) +[2026-06-04 12:09:32,176][494436] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9219.5). Total num frames: 6062080. Throughput: 0: 9807.6. Samples: 6057472. Policy #0 lag: (min: 1.0, avg: 3.7, max: 65.0) +[2026-06-04 12:09:32,177][494436] Avg episode reward: [(0, '1418.000')] +[2026-06-04 12:09:32,181][495402] Saving new best policy, reward=1418.000! +[2026-06-04 12:09:34,784][495491] Updated weights for policy 0, policy_version 11903 (0.0013) +[2026-06-04 12:09:37,176][494436] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9136.2). Total num frames: 6094848. Throughput: 0: 9932.8. Samples: 6118400. Policy #0 lag: (min: 4.0, avg: 7.5, max: 68.0) +[2026-06-04 12:09:37,177][494436] Avg episode reward: [(0, '1452.150')] +[2026-06-04 12:09:37,180][495402] Saving new best policy, reward=1452.150! +[2026-06-04 12:09:37,933][495491] Updated weights for policy 0, policy_version 11968 (0.0014) +[2026-06-04 12:09:42,176][494436] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9219.5). Total num frames: 6160384. Throughput: 0: 9921.4. Samples: 6148608. Policy #0 lag: (min: 4.0, avg: 7.5, max: 68.0) +[2026-06-04 12:09:42,177][494436] Avg episode reward: [(0, '1505.550')] +[2026-06-04 12:09:42,182][495402] Saving new best policy, reward=1505.550! +[2026-06-04 12:09:44,228][495491] Updated weights for policy 0, policy_version 12064 (0.0010) +[2026-06-04 12:09:47,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9219.5). Total num frames: 6193152. Throughput: 0: 9955.6. Samples: 6205952. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 12:09:47,177][494436] Avg episode reward: [(0, '1470.600')] +[2026-06-04 12:09:47,794][495491] Updated weights for policy 0, policy_version 12144 (0.0012) +[2026-06-04 12:09:51,351][495491] Updated weights for policy 0, policy_version 12212 (0.0014) +[2026-06-04 12:09:52,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9219.5). Total num frames: 6258688. Throughput: 0: 9898.6. Samples: 6263296. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 12:09:52,177][494436] Avg episode reward: [(0, '1524.100')] +[2026-06-04 12:09:52,182][495402] Saving new best policy, reward=1524.100! +[2026-06-04 12:09:54,702][495491] Updated weights for policy 0, policy_version 12281 (0.0011) +[2026-06-04 12:09:57,176][494436] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9219.5). Total num frames: 6291456. Throughput: 0: 9932.8. Samples: 6293504. Policy #0 lag: (min: 0.0, avg: 4.1, max: 64.0) +[2026-06-04 12:09:57,177][494436] Avg episode reward: [(0, '1643.400')] +[2026-06-04 12:09:57,181][495402] Saving new best policy, reward=1643.400! +[2026-06-04 12:09:58,238][495491] Updated weights for policy 0, policy_version 12346 (0.0011) +[2026-06-04 12:10:02,176][494436] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9330.6). Total num frames: 6356992. Throughput: 0: 9910.1. Samples: 6352384. Policy #0 lag: (min: 0.0, avg: 4.1, max: 64.0) +[2026-06-04 12:10:02,176][494436] Avg episode reward: [(0, '1659.500')] +[2026-06-04 12:10:02,181][495402] Saving new best policy, reward=1659.500! +[2026-06-04 12:10:04,266][495491] Updated weights for policy 0, policy_version 12417 (0.0016) +[2026-06-04 12:10:07,176][494436] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9219.5). Total num frames: 6389760. Throughput: 0: 9887.3. Samples: 6410752. Policy #0 lag: (min: 14.0, avg: 16.9, max: 78.0) +[2026-06-04 12:10:07,177][494436] Avg episode reward: [(0, '1726.100')] +[2026-06-04 12:10:07,184][495402] Saving new best policy, reward=1726.100! +[2026-06-04 12:10:07,949][495491] Updated weights for policy 0, policy_version 12513 (0.0012) +[2026-06-04 12:10:11,454][495491] Updated weights for policy 0, policy_version 12592 (0.0011) +[2026-06-04 12:10:12,176][494436] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9330.6). Total num frames: 6455296. Throughput: 0: 9819.1. Samples: 6439936. Policy #0 lag: (min: 14.0, avg: 16.9, max: 78.0) +[2026-06-04 12:10:12,177][494436] Avg episode reward: [(0, '1738.350')] +[2026-06-04 12:10:12,181][495402] Saving new best policy, reward=1738.350! +[2026-06-04 12:10:14,926][495491] Updated weights for policy 0, policy_version 12669 (0.0012) +[2026-06-04 12:10:17,176][494436] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9330.5). Total num frames: 6488064. Throughput: 0: 9750.8. Samples: 6496256. Policy #0 lag: (min: 11.0, avg: 15.5, max: 75.0) +[2026-06-04 12:10:17,178][494436] Avg episode reward: [(0, '1781.800')] +[2026-06-04 12:10:17,181][495402] Saving new best policy, reward=1781.800! +[2026-06-04 12:10:18,445][495491] Updated weights for policy 0, policy_version 12735 (0.0012) +[2026-06-04 12:10:22,176][494436] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9358.3). Total num frames: 6553600. Throughput: 0: 9705.2. Samples: 6555136. Policy #0 lag: (min: 11.0, avg: 15.5, max: 75.0) +[2026-06-04 12:10:22,177][494436] Avg episode reward: [(0, '1762.550')] +[2026-06-04 12:10:24,500][495402] Signal inference workers to stop experience collection... (600 times) +[2026-06-04 12:10:24,527][495491] InferenceWorker_p0-w0: stopping experience collection (600 times) +[2026-06-04 12:10:24,669][495402] Signal inference workers to resume experience collection... (600 times) +[2026-06-04 12:10:24,670][495491] InferenceWorker_p0-w0: resuming experience collection (600 times) +[2026-06-04 12:10:24,719][495491] Updated weights for policy 0, policy_version 12817 (0.0012) +[2026-06-04 12:10:27,176][494436] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9330.5). Total num frames: 6586368. Throughput: 0: 9728.0. Samples: 6586368. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:10:27,177][494436] Avg episode reward: [(0, '1787.550')] +[2026-06-04 12:10:27,183][495402] Saving new best policy, reward=1787.550! +[2026-06-04 12:10:28,209][495491] Updated weights for policy 0, policy_version 12896 (0.0010) +[2026-06-04 12:10:31,677][495491] Updated weights for policy 0, policy_version 12976 (0.0013) +[2026-06-04 12:10:32,176][494436] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 6651904. Throughput: 0: 9739.3. Samples: 6644224. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:10:32,177][494436] Avg episode reward: [(0, '1805.900')] +[2026-06-04 12:10:32,180][495402] Saving new best policy, reward=1805.900! +[2026-06-04 12:10:35,115][495491] Updated weights for policy 0, policy_version 13045 (0.0013) +[2026-06-04 12:10:37,176][494436] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9358.3). Total num frames: 6684672. Throughput: 0: 9819.0. Samples: 6705152. Policy #0 lag: (min: 10.0, avg: 13.4, max: 74.0) +[2026-06-04 12:10:37,177][494436] Avg episode reward: [(0, '1809.700')] +[2026-06-04 12:10:37,181][495402] Saving new best policy, reward=1809.700! +[2026-06-04 12:10:38,411][495491] Updated weights for policy 0, policy_version 13118 (0.0011) +[2026-06-04 12:10:42,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 6750208. Throughput: 0: 9784.9. Samples: 6733824. Policy #0 lag: (min: 10.0, avg: 13.4, max: 74.0) +[2026-06-04 12:10:42,177][494436] Avg episode reward: [(0, '1892.200')] +[2026-06-04 12:10:42,181][495402] Saving new best policy, reward=1892.200! +[2026-06-04 12:10:44,527][495491] Updated weights for policy 0, policy_version 13216 (0.0011) +[2026-06-04 12:10:47,176][494436] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 6782976. Throughput: 0: 9819.0. Samples: 6794240. Policy #0 lag: (min: 30.0, avg: 32.9, max: 94.0) +[2026-06-04 12:10:47,177][494436] Avg episode reward: [(0, '1894.400')] +[2026-06-04 12:10:47,181][495402] Saving new best policy, reward=1894.400! +[2026-06-04 12:10:47,992][495491] Updated weights for policy 0, policy_version 13297 (0.0013) +[2026-06-04 12:10:51,379][495491] Updated weights for policy 0, policy_version 13362 (0.0014) +[2026-06-04 12:10:52,176][494436] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 6848512. Throughput: 0: 9807.7. Samples: 6852096. Policy #0 lag: (min: 30.0, avg: 32.9, max: 94.0) +[2026-06-04 12:10:52,177][494436] Avg episode reward: [(0, '1958.100')] +[2026-06-04 12:10:52,181][495402] Saving new best policy, reward=1958.100! +[2026-06-04 12:10:54,925][495491] Updated weights for policy 0, policy_version 13437 (0.0010) +[2026-06-04 12:10:57,176][494436] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 6881280. Throughput: 0: 9830.3. Samples: 6882304. Policy #0 lag: (min: 3.0, avg: 6.4, max: 67.0) +[2026-06-04 12:10:57,178][494436] Avg episode reward: [(0, '2009.300')] +[2026-06-04 12:10:57,182][495402] Saving new best policy, reward=2009.300! +[2026-06-04 12:10:58,329][495491] Updated weights for policy 0, policy_version 13504 (0.0014) +[2026-06-04 12:11:02,176][494436] Fps is (10 sec: 9830.3, 60 sec: 9830.3, 300 sec: 9552.7). Total num frames: 6946816. Throughput: 0: 9932.7. Samples: 6943232. Policy #0 lag: (min: 3.0, avg: 6.4, max: 67.0) +[2026-06-04 12:11:02,178][494436] Avg episode reward: [(0, '2022.000')] +[2026-06-04 12:11:02,182][495402] Saving new best policy, reward=2022.000! +[2026-06-04 12:11:04,269][495491] Updated weights for policy 0, policy_version 13600 (0.0012) +[2026-06-04 12:11:07,176][494436] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 6979584. Throughput: 0: 9978.3. Samples: 7004160. Policy #0 lag: (min: 46.0, avg: 48.9, max: 110.0) +[2026-06-04 12:11:07,177][494436] Avg episode reward: [(0, '2058.250')] +[2026-06-04 12:11:07,180][495402] Saving new best policy, reward=2058.250! +[2026-06-04 12:11:07,767][495491] Updated weights for policy 0, policy_version 13680 (0.0011) +[2026-06-04 12:11:11,088][495491] Updated weights for policy 0, policy_version 13744 (0.0010) +[2026-06-04 12:11:12,176][494436] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 7045120. Throughput: 0: 9944.2. Samples: 7033856. Policy #0 lag: (min: 46.0, avg: 48.9, max: 110.0) +[2026-06-04 12:11:12,177][494436] Avg episode reward: [(0, '2124.550')] +[2026-06-04 12:11:12,182][495402] Saving new best policy, reward=2124.550! +[2026-06-04 12:11:14,303][495491] Updated weights for policy 0, policy_version 13808 (0.0012) +[2026-06-04 12:11:17,176][494436] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 7077888. Throughput: 0: 9955.5. Samples: 7092224. Policy #0 lag: (min: 46.0, avg: 48.9, max: 110.0) +[2026-06-04 12:11:17,177][494436] Avg episode reward: [(0, '2136.100')] +[2026-06-04 12:11:17,182][495402] Saving new best policy, reward=2136.100! +[2026-06-04 12:11:17,623][495402] Signal inference workers to stop experience collection... (650 times) +[2026-06-04 12:11:17,657][495491] InferenceWorker_p0-w0: stopping experience collection (650 times) +[2026-06-04 12:11:17,751][495402] Signal inference workers to resume experience collection... (650 times) +[2026-06-04 12:11:17,752][495491] InferenceWorker_p0-w0: resuming experience collection (650 times) +[2026-06-04 12:11:17,926][495491] Updated weights for policy 0, policy_version 13882 (0.0013) +[2026-06-04 12:11:21,349][495491] Updated weights for policy 0, policy_version 13948 (0.0012) +[2026-06-04 12:11:22,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 7143424. Throughput: 0: 9875.9. Samples: 7149568. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:11:22,177][494436] Avg episode reward: [(0, '2188.300')] +[2026-06-04 12:11:22,181][495402] Saving new best policy, reward=2188.300! +[2026-06-04 12:11:27,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 7176192. Throughput: 0: 9875.9. Samples: 7178240. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:11:27,177][494436] Avg episode reward: [(0, '2291.450')] +[2026-06-04 12:11:27,182][495402] Saving new best policy, reward=2291.450! +[2026-06-04 12:11:27,385][495491] Updated weights for policy 0, policy_version 14032 (0.0013) +[2026-06-04 12:11:31,033][495491] Updated weights for policy 0, policy_version 14112 (0.0013) +[2026-06-04 12:11:32,176][494436] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 7241728. Throughput: 0: 9910.0. Samples: 7240192. Policy #0 lag: (min: 63.0, avg: 66.6, max: 127.0) +[2026-06-04 12:11:32,177][494436] Avg episode reward: [(0, '2373.050')] +[2026-06-04 12:11:32,180][495402] Saving new best policy, reward=2373.050! +[2026-06-04 12:11:34,742][495491] Updated weights for policy 0, policy_version 14194 (0.0011) +[2026-06-04 12:11:37,176][494436] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 7274496. Throughput: 0: 9875.9. Samples: 7296512. Policy #0 lag: (min: 63.0, avg: 66.6, max: 127.0) +[2026-06-04 12:11:37,177][494436] Avg episode reward: [(0, '2411.050')] +[2026-06-04 12:11:37,181][495402] Saving new best policy, reward=2411.050! +[2026-06-04 12:11:38,180][495491] Updated weights for policy 0, policy_version 14267 (0.0012) +[2026-06-04 12:11:41,642][495491] Updated weights for policy 0, policy_version 14334 (0.0012) +[2026-06-04 12:11:42,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9608.2). Total num frames: 7340032. Throughput: 0: 9807.7. Samples: 7323648. Policy #0 lag: (min: 5.0, avg: 8.8, max: 69.0) +[2026-06-04 12:11:42,177][494436] Avg episode reward: [(0, '2505.850')] +[2026-06-04 12:11:42,181][495402] Saving new best policy, reward=2505.850! +[2026-06-04 12:11:44,613][495491] Updated weights for policy 0, policy_version 14400 (0.0010) +[2026-06-04 12:11:47,176][494436] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 7372800. Throughput: 0: 9887.3. Samples: 7388160. Policy #0 lag: (min: 5.0, avg: 8.8, max: 69.0) +[2026-06-04 12:11:47,178][494436] Avg episode reward: [(0, '2509.650')] +[2026-06-04 12:11:47,416][495402] Saving new best policy, reward=2509.650! +[2026-06-04 12:11:50,381][495491] Updated weights for policy 0, policy_version 14480 (0.0011) +[2026-06-04 12:11:52,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 7438336. Throughput: 0: 9910.0. Samples: 7450112. Policy #0 lag: (min: 5.0, avg: 8.8, max: 69.0) +[2026-06-04 12:11:52,177][494436] Avg episode reward: [(0, '2533.700')] +[2026-06-04 12:11:52,182][495402] Saving new best policy, reward=2533.700! +[2026-06-04 12:11:53,812][495491] Updated weights for policy 0, policy_version 14544 (0.0012) +[2026-06-04 12:11:57,092][495491] Updated weights for policy 0, policy_version 14624 (0.0011) +[2026-06-04 12:11:57,176][494436] Fps is (10 sec: 11468.8, 60 sec: 10103.5, 300 sec: 9608.2). Total num frames: 7487488. Throughput: 0: 9864.5. Samples: 7477760. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:11:57,178][494436] Avg episode reward: [(0, '2572.700')] +[2026-06-04 12:11:57,425][495402] Saving new best policy, reward=2572.700! +[2026-06-04 12:12:00,575][495491] Updated weights for policy 0, policy_version 14704 (0.0012) +[2026-06-04 12:12:02,176][494436] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 7536640. Throughput: 0: 9932.8. Samples: 7539200. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:12:02,177][494436] Avg episode reward: [(0, '2637.200')] +[2026-06-04 12:12:02,182][495402] Saving new best policy, reward=2637.200! +[2026-06-04 12:12:03,836][495491] Updated weights for policy 0, policy_version 14771 (0.0010) +[2026-06-04 12:12:07,176][494436] Fps is (10 sec: 10649.8, 60 sec: 10240.0, 300 sec: 9663.8). Total num frames: 7593984. Throughput: 0: 10035.2. Samples: 7601152. Policy #0 lag: (min: 8.0, avg: 11.0, max: 72.0) +[2026-06-04 12:12:07,177][494436] Avg episode reward: [(0, '2823.000')] +[2026-06-04 12:12:07,263][495491] Updated weights for policy 0, policy_version 14844 (0.0010) +[2026-06-04 12:12:07,299][495402] Saving new best policy, reward=2823.000! +[2026-06-04 12:12:10,461][495491] Updated weights for policy 0, policy_version 14912 (0.0013) +[2026-06-04 12:12:12,176][494436] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 7634944. Throughput: 0: 10092.1. Samples: 7632384. Policy #0 lag: (min: 8.0, avg: 11.0, max: 72.0) +[2026-06-04 12:12:12,177][494436] Avg episode reward: [(0, '2838.000')] +[2026-06-04 12:12:12,181][495402] Saving new best policy, reward=2838.000! +[2026-06-04 12:12:13,195][495402] Signal inference workers to stop experience collection... (700 times) +[2026-06-04 12:12:13,228][495491] InferenceWorker_p0-w0: stopping experience collection (700 times) +[2026-06-04 12:12:13,320][495402] Signal inference workers to resume experience collection... (700 times) +[2026-06-04 12:12:13,321][495491] InferenceWorker_p0-w0: resuming experience collection (700 times) +[2026-06-04 12:12:13,728][495491] Updated weights for policy 0, policy_version 14976 (0.0013) +[2026-06-04 12:12:17,176][494436] Fps is (10 sec: 10649.5, 60 sec: 10376.5, 300 sec: 9774.9). Total num frames: 7700480. Throughput: 0: 10001.1. Samples: 7690240. Policy #0 lag: (min: 8.0, avg: 11.0, max: 72.0) +[2026-06-04 12:12:17,177][494436] Avg episode reward: [(0, '2796.350')] +[2026-06-04 12:12:20,217][495491] Updated weights for policy 0, policy_version 15088 (0.0013) +[2026-06-04 12:12:22,176][494436] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 7733248. Throughput: 0: 10046.5. Samples: 7748608. Policy #0 lag: (min: 4.0, avg: 6.8, max: 68.0) +[2026-06-04 12:12:22,177][494436] Avg episode reward: [(0, '2840.600')] +[2026-06-04 12:12:22,181][495402] Saving new best policy, reward=2840.600! +[2026-06-04 12:12:23,625][495491] Updated weights for policy 0, policy_version 15162 (0.0010) +[2026-06-04 12:12:27,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9774.9). Total num frames: 7798784. Throughput: 0: 10114.8. Samples: 7778816. Policy #0 lag: (min: 4.0, avg: 6.8, max: 68.0) +[2026-06-04 12:12:27,178][494436] Avg episode reward: [(0, '2756.700')] +[2026-06-04 12:12:29,814][495491] Updated weights for policy 0, policy_version 15248 (0.0012) +[2026-06-04 12:12:32,176][494436] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9719.3). Total num frames: 7831552. Throughput: 0: 9966.9. Samples: 7836672. Policy #0 lag: (min: 4.0, avg: 6.8, max: 68.0) +[2026-06-04 12:12:32,178][494436] Avg episode reward: [(0, '2675.000')] +[2026-06-04 12:12:33,588][495491] Updated weights for policy 0, policy_version 15344 (0.0009) +[2026-06-04 12:12:37,010][495491] Updated weights for policy 0, policy_version 15413 (0.0010) +[2026-06-04 12:12:37,180][494436] Fps is (10 sec: 9830.6, 60 sec: 10376.5, 300 sec: 9774.9). Total num frames: 7897088. Throughput: 0: 9932.8. Samples: 7897088. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:12:37,183][494436] Avg episode reward: [(0, '2661.450')] +[2026-06-04 12:12:40,318][495491] Updated weights for policy 0, policy_version 15484 (0.0011) +[2026-06-04 12:12:42,176][494436] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 7929856. Throughput: 0: 9978.3. Samples: 7926784. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:12:42,177][494436] Avg episode reward: [(0, '2663.400')] +[2026-06-04 12:12:43,587][495491] Updated weights for policy 0, policy_version 15551 (0.0010) +[2026-06-04 12:12:47,037][495491] Updated weights for policy 0, policy_version 15616 (0.0011) +[2026-06-04 12:12:47,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10376.6, 300 sec: 9774.9). Total num frames: 7995392. Throughput: 0: 9955.6. Samples: 7987200. Policy #0 lag: (min: 15.0, avg: 19.8, max: 79.0) +[2026-06-04 12:12:47,177][494436] Avg episode reward: [(0, '2792.600')] +[2026-06-04 12:12:50,374][495491] Updated weights for policy 0, policy_version 15678 (0.0009) +[2026-06-04 12:12:52,177][494436] Fps is (10 sec: 9830.2, 60 sec: 9830.3, 300 sec: 9774.8). Total num frames: 8028160. Throughput: 0: 9864.4. Samples: 8045056. Policy #0 lag: (min: 15.0, avg: 19.8, max: 79.0) +[2026-06-04 12:12:52,178][494436] Avg episode reward: [(0, '2719.800')] +[2026-06-04 12:12:53,664][495491] Updated weights for policy 0, policy_version 15744 (0.0011) +[2026-06-04 12:12:57,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10103.5, 300 sec: 9774.9). Total num frames: 8093696. Throughput: 0: 9819.0. Samples: 8074240. Policy #0 lag: (min: 15.0, avg: 19.8, max: 79.0) +[2026-06-04 12:12:57,177][494436] Avg episode reward: [(0, '2811.650')] +[2026-06-04 12:12:59,927][495491] Updated weights for policy 0, policy_version 15825 (0.0011) +[2026-06-04 12:13:02,177][494436] Fps is (10 sec: 9830.2, 60 sec: 9830.3, 300 sec: 9774.8). Total num frames: 8126464. Throughput: 0: 9830.3. Samples: 8132608. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 12:13:02,181][494436] Avg episode reward: [(0, '2926.500')] +[2026-06-04 12:13:02,187][495402] Saving new best policy, reward=2926.500! +[2026-06-04 12:13:03,122][495491] Updated weights for policy 0, policy_version 15904 (0.0012) +[2026-06-04 12:13:06,316][495491] Updated weights for policy 0, policy_version 15969 (0.0011) +[2026-06-04 12:13:07,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9966.9, 300 sec: 9885.9). Total num frames: 8192000. Throughput: 0: 9910.1. Samples: 8194560. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 12:13:07,177][494436] Avg episode reward: [(0, '2903.900')] +[2026-06-04 12:13:09,018][495402] Signal inference workers to stop experience collection... (750 times) +[2026-06-04 12:13:09,045][495491] InferenceWorker_p0-w0: stopping experience collection (750 times) +[2026-06-04 12:13:09,155][495402] Signal inference workers to resume experience collection... (750 times) +[2026-06-04 12:13:09,156][495491] InferenceWorker_p0-w0: resuming experience collection (750 times) +[2026-06-04 12:13:09,328][495491] Updated weights for policy 0, policy_version 16033 (0.0011) +[2026-06-04 12:13:12,176][494436] Fps is (10 sec: 9831.0, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 8224768. Throughput: 0: 9955.6. Samples: 8226816. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 12:13:12,177][494436] Avg episode reward: [(0, '2943.800')] +[2026-06-04 12:13:12,433][495402] Saving new best policy, reward=2943.800! +[2026-06-04 12:13:12,684][495491] Updated weights for policy 0, policy_version 16118 (0.0013) +[2026-06-04 12:13:15,934][495491] Updated weights for policy 0, policy_version 16181 (0.0011) +[2026-06-04 12:13:17,176][494436] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 8290304. Throughput: 0: 10103.5. Samples: 8291328. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 12:13:17,177][494436] Avg episode reward: [(0, '2872.050')] +[2026-06-04 12:13:19,043][495491] Updated weights for policy 0, policy_version 16247 (0.0009) +[2026-06-04 12:13:22,176][494436] Fps is (10 sec: 10649.5, 60 sec: 9966.9, 300 sec: 9830.4). Total num frames: 8331264. Throughput: 0: 10057.9. Samples: 8349696. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 12:13:22,177][494436] Avg episode reward: [(0, '2978.850')] +[2026-06-04 12:13:22,431][495402] Saving new best policy, reward=2978.850! +[2026-06-04 12:13:22,634][495491] Updated weights for policy 0, policy_version 16317 (0.0010) +[2026-06-04 12:13:27,178][494436] Fps is (10 sec: 9829.1, 60 sec: 9830.2, 300 sec: 9885.9). Total num frames: 8388608. Throughput: 0: 10080.4. Samples: 8380416. Policy #0 lag: (min: 6.0, avg: 10.1, max: 70.0) +[2026-06-04 12:13:27,179][494436] Avg episode reward: [(0, '2961.150')] +[2026-06-04 12:13:28,600][495491] Updated weights for policy 0, policy_version 16400 (0.0012) +[2026-06-04 12:13:32,110][495491] Updated weights for policy 0, policy_version 16496 (0.0013) +[2026-06-04 12:13:32,176][494436] Fps is (10 sec: 11468.9, 60 sec: 10240.1, 300 sec: 9969.3). Total num frames: 8445952. Throughput: 0: 10114.9. Samples: 8442368. Policy #0 lag: (min: 6.0, avg: 10.1, max: 70.0) +[2026-06-04 12:13:32,177][494436] Avg episode reward: [(0, '3087.000')] +[2026-06-04 12:13:32,312][495402] Saving new best policy, reward=3087.000! +[2026-06-04 12:13:35,645][495491] Updated weights for policy 0, policy_version 16572 (0.0010) +[2026-06-04 12:13:37,176][494436] Fps is (10 sec: 9832.0, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 8486912. Throughput: 0: 10115.0. Samples: 8500224. Policy #0 lag: (min: 6.0, avg: 10.1, max: 70.0) +[2026-06-04 12:13:37,177][494436] Avg episode reward: [(0, '3059.800')] +[2026-06-04 12:13:38,898][495491] Updated weights for policy 0, policy_version 16640 (0.0012) +[2026-06-04 12:13:42,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10240.0, 300 sec: 9969.3). Total num frames: 8544256. Throughput: 0: 10137.6. Samples: 8530432. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:13:42,177][494436] Avg episode reward: [(0, '3103.550')] +[2026-06-04 12:13:42,218][495402] Saving new best policy, reward=3103.550! +[2026-06-04 12:13:44,981][495491] Updated weights for policy 0, policy_version 16721 (0.0014) +[2026-06-04 12:13:47,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 8585216. Throughput: 0: 10160.5. Samples: 8589824. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:13:47,177][494436] Avg episode reward: [(0, '3076.500')] +[2026-06-04 12:13:48,421][495491] Updated weights for policy 0, policy_version 16816 (0.0013) +[2026-06-04 12:13:51,626][495491] Updated weights for policy 0, policy_version 16884 (0.0014) +[2026-06-04 12:13:52,176][494436] Fps is (10 sec: 10649.6, 60 sec: 10376.6, 300 sec: 9997.0). Total num frames: 8650752. Throughput: 0: 10171.8. Samples: 8652288. Policy #0 lag: (min: 6.0, avg: 9.0, max: 70.0) +[2026-06-04 12:13:52,177][494436] Avg episode reward: [(0, '3075.100')] +[2026-06-04 12:13:54,842][495491] Updated weights for policy 0, policy_version 16951 (0.0010) +[2026-06-04 12:13:57,176][494436] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 8683520. Throughput: 0: 10171.7. Samples: 8684544. Policy #0 lag: (min: 6.0, avg: 9.0, max: 70.0) +[2026-06-04 12:13:57,177][494436] Avg episode reward: [(0, '3194.700')] +[2026-06-04 12:13:57,181][495402] Saving new best policy, reward=3194.700! +[2026-06-04 12:13:57,964][495491] Updated weights for policy 0, policy_version 17016 (0.0016) +[2026-06-04 12:14:00,784][495402] Signal inference workers to stop experience collection... (800 times) +[2026-06-04 12:14:00,813][495491] InferenceWorker_p0-w0: stopping experience collection (800 times) +[2026-06-04 12:14:00,963][495402] Signal inference workers to resume experience collection... (800 times) +[2026-06-04 12:14:00,964][495491] InferenceWorker_p0-w0: resuming experience collection (800 times) +[2026-06-04 12:14:01,104][495491] Updated weights for policy 0, policy_version 17080 (0.0014) +[2026-06-04 12:14:02,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.7, 300 sec: 9997.0). Total num frames: 8749056. Throughput: 0: 10183.2. Samples: 8749568. Policy #0 lag: (min: 6.0, avg: 9.0, max: 70.0) +[2026-06-04 12:14:02,177][494436] Avg episode reward: [(0, '3253.800')] +[2026-06-04 12:14:02,182][495402] Saving new best policy, reward=3253.800! +[2026-06-04 12:14:04,433][495491] Updated weights for policy 0, policy_version 17152 (0.0011) +[2026-06-04 12:14:07,176][494436] Fps is (10 sec: 10649.6, 60 sec: 9966.9, 300 sec: 9913.7). Total num frames: 8790016. Throughput: 0: 10228.6. Samples: 8809984. Policy #0 lag: (min: 0.0, avg: 4.1, max: 64.0) +[2026-06-04 12:14:07,177][494436] Avg episode reward: [(0, '3244.450')] +[2026-06-04 12:14:10,314][495491] Updated weights for policy 0, policy_version 17248 (0.0011) +[2026-06-04 12:14:12,176][494436] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 8847360. Throughput: 0: 10240.3. Samples: 8841216. Policy #0 lag: (min: 0.0, avg: 4.1, max: 64.0) +[2026-06-04 12:14:12,177][494436] Avg episode reward: [(0, '3232.250')] +[2026-06-04 12:14:13,525][495491] Updated weights for policy 0, policy_version 17312 (0.0009) +[2026-06-04 12:14:16,911][495491] Updated weights for policy 0, policy_version 17392 (0.0011) +[2026-06-04 12:14:17,176][494436] Fps is (10 sec: 12288.0, 60 sec: 10376.6, 300 sec: 9997.0). Total num frames: 8912896. Throughput: 0: 10228.6. Samples: 8902656. Policy #0 lag: (min: 3.0, avg: 6.0, max: 67.0) +[2026-06-04 12:14:17,177][494436] Avg episode reward: [(0, '3215.450')] +[2026-06-04 12:14:20,235][495491] Updated weights for policy 0, policy_version 17457 (0.0012) +[2026-06-04 12:14:22,176][494436] Fps is (10 sec: 9830.6, 60 sec: 10240.0, 300 sec: 9997.0). Total num frames: 8945664. Throughput: 0: 10285.5. Samples: 8963072. Policy #0 lag: (min: 3.0, avg: 6.0, max: 67.0) +[2026-06-04 12:14:22,177][494436] Avg episode reward: [(0, '3236.800')] +[2026-06-04 12:14:23,420][495491] Updated weights for policy 0, policy_version 17529 (0.0011) +[2026-06-04 12:14:26,796][495491] Updated weights for policy 0, policy_version 17599 (0.0011) +[2026-06-04 12:14:27,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.8, 300 sec: 9997.0). Total num frames: 9011200. Throughput: 0: 10308.2. Samples: 8994304. Policy #0 lag: (min: 3.0, avg: 6.0, max: 67.0) +[2026-06-04 12:14:27,177][494436] Avg episode reward: [(0, '3296.900')] +[2026-06-04 12:14:27,181][495402] Saving new best policy, reward=3296.900! +[2026-06-04 12:14:32,176][494436] Fps is (10 sec: 9830.3, 60 sec: 9966.9, 300 sec: 9997.0). Total num frames: 9043968. Throughput: 0: 10296.9. Samples: 9053184. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:14:32,177][494436] Avg episode reward: [(0, '3475.150')] +[2026-06-04 12:14:32,182][495402] Saving new best policy, reward=3475.150! +[2026-06-04 12:14:32,991][495491] Updated weights for policy 0, policy_version 17680 (0.0010) +[2026-06-04 12:14:36,526][495491] Updated weights for policy 0, policy_version 17760 (0.0011) +[2026-06-04 12:14:37,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 9109504. Throughput: 0: 10194.5. Samples: 9111040. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:14:37,177][494436] Avg episode reward: [(0, '3510.700')] +[2026-06-04 12:14:37,181][495402] Saving new best policy, reward=3510.700! +[2026-06-04 12:14:40,122][495491] Updated weights for policy 0, policy_version 17849 (0.0015) +[2026-06-04 12:14:42,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9966.9, 300 sec: 9997.0). Total num frames: 9142272. Throughput: 0: 10149.0. Samples: 9141248. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:14:42,177][494436] Avg episode reward: [(0, '3585.300')] +[2026-06-04 12:14:42,180][495402] Saving new best policy, reward=3585.300! +[2026-06-04 12:14:46,018][495491] Updated weights for policy 0, policy_version 17936 (0.0011) +[2026-06-04 12:14:47,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 9207808. Throughput: 0: 10069.3. Samples: 9202688. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 12:14:47,177][494436] Avg episode reward: [(0, '3702.900')] +[2026-06-04 12:14:47,180][495402] Saving new best policy, reward=3702.900! +[2026-06-04 12:14:49,354][495491] Updated weights for policy 0, policy_version 18016 (0.0011) +[2026-06-04 12:14:52,176][494436] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 9240576. Throughput: 0: 10114.8. Samples: 9265152. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 12:14:52,177][494436] Avg episode reward: [(0, '3638.350')] +[2026-06-04 12:14:52,630][495491] Updated weights for policy 0, policy_version 18080 (0.0011) +[2026-06-04 12:14:55,572][495402] Signal inference workers to stop experience collection... (850 times) +[2026-06-04 12:14:55,601][495491] InferenceWorker_p0-w0: stopping experience collection (850 times) +[2026-06-04 12:14:55,725][495402] Signal inference workers to resume experience collection... (850 times) +[2026-06-04 12:14:55,726][495491] InferenceWorker_p0-w0: resuming experience collection (850 times) +[2026-06-04 12:14:55,728][495491] Updated weights for policy 0, policy_version 18144 (0.0012) +[2026-06-04 12:14:57,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 9306112. Throughput: 0: 10137.6. Samples: 9297408. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 12:14:57,177][494436] Avg episode reward: [(0, '3651.150')] +[2026-06-04 12:14:59,347][495491] Updated weights for policy 0, policy_version 18232 (0.0010) +[2026-06-04 12:15:02,176][494436] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 9338880. Throughput: 0: 10058.0. Samples: 9355264. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 12:15:02,177][494436] Avg episode reward: [(0, '3359.350')] +[2026-06-04 12:15:02,643][495491] Updated weights for policy 0, policy_version 18293 (0.0013) +[2026-06-04 12:15:05,752][495491] Updated weights for policy 0, policy_version 18361 (0.0013) +[2026-06-04 12:15:07,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10240.0, 300 sec: 9997.0). Total num frames: 9404416. Throughput: 0: 10069.3. Samples: 9416192. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 12:15:07,177][494436] Avg episode reward: [(0, '3427.150')] +[2026-06-04 12:15:09,121][495491] Updated weights for policy 0, policy_version 18432 (0.0011) +[2026-06-04 12:15:12,176][494436] Fps is (10 sec: 12287.9, 60 sec: 10240.0, 300 sec: 10080.3). Total num frames: 9461760. Throughput: 0: 10023.8. Samples: 9445376. Policy #0 lag: (min: 10.0, avg: 13.8, max: 74.0) +[2026-06-04 12:15:12,177][494436] Avg episode reward: [(0, '3424.000')] +[2026-06-04 12:15:12,402][495491] Updated weights for policy 0, policy_version 18496 (0.0012) +[2026-06-04 12:15:17,176][494436] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 9502720. Throughput: 0: 10103.4. Samples: 9507840. Policy #0 lag: (min: 10.0, avg: 13.8, max: 74.0) +[2026-06-04 12:15:17,178][494436] Avg episode reward: [(0, '3311.400')] +[2026-06-04 12:15:17,964][495491] Updated weights for policy 0, policy_version 18577 (0.0012) +[2026-06-04 12:15:21,180][495491] Updated weights for policy 0, policy_version 18657 (0.0011) +[2026-06-04 12:15:22,176][494436] Fps is (10 sec: 10649.6, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 9568256. Throughput: 0: 10240.0. Samples: 9571840. Policy #0 lag: (min: 10.0, avg: 13.8, max: 74.0) +[2026-06-04 12:15:22,177][494436] Avg episode reward: [(0, '3332.050')] +[2026-06-04 12:15:24,574][495491] Updated weights for policy 0, policy_version 18739 (0.0011) +[2026-06-04 12:15:27,176][494436] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 9601024. Throughput: 0: 10274.1. Samples: 9603584. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 12:15:27,177][494436] Avg episode reward: [(0, '3439.000')] +[2026-06-04 12:15:27,807][495491] Updated weights for policy 0, policy_version 18810 (0.0011) +[2026-06-04 12:15:31,145][495491] Updated weights for policy 0, policy_version 18878 (0.0010) +[2026-06-04 12:15:32,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 9666560. Throughput: 0: 10319.6. Samples: 9667072. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 12:15:32,177][494436] Avg episode reward: [(0, '3512.200')] +[2026-06-04 12:15:37,176][494436] Fps is (10 sec: 10649.6, 60 sec: 9966.9, 300 sec: 10024.8). Total num frames: 9707520. Throughput: 0: 10274.2. Samples: 9727488. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 12:15:37,177][494436] Avg episode reward: [(0, '3583.600')] +[2026-06-04 12:15:37,241][495491] Updated weights for policy 0, policy_version 18976 (0.0012) +[2026-06-04 12:15:40,185][495491] Updated weights for policy 0, policy_version 19025 (0.0010) +[2026-06-04 12:15:42,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 9764864. Throughput: 0: 10262.7. Samples: 9759232. Policy #0 lag: (min: 46.0, avg: 48.9, max: 110.0) +[2026-06-04 12:15:42,177][494436] Avg episode reward: [(0, '3460.300')] +[2026-06-04 12:15:43,416][495491] Updated weights for policy 0, policy_version 19105 (0.0012) +[2026-06-04 12:15:46,685][495491] Updated weights for policy 0, policy_version 19185 (0.0010) +[2026-06-04 12:15:47,176][494436] Fps is (10 sec: 12288.2, 60 sec: 10376.6, 300 sec: 10108.1). Total num frames: 9830400. Throughput: 0: 10365.2. Samples: 9821696. Policy #0 lag: (min: 46.0, avg: 48.9, max: 110.0) +[2026-06-04 12:15:47,176][494436] Avg episode reward: [(0, '3598.000')] +[2026-06-04 12:15:49,598][495402] Signal inference workers to stop experience collection... (900 times) +[2026-06-04 12:15:49,626][495491] InferenceWorker_p0-w0: stopping experience collection (900 times) +[2026-06-04 12:15:49,727][495402] Signal inference workers to resume experience collection... (900 times) +[2026-06-04 12:15:49,727][495491] InferenceWorker_p0-w0: resuming experience collection (900 times) +[2026-06-04 12:15:52,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 9863168. Throughput: 0: 10296.9. Samples: 9879552. Policy #0 lag: (min: 46.0, avg: 48.9, max: 110.0) +[2026-06-04 12:15:52,177][494436] Avg episode reward: [(0, '3676.400')] +[2026-06-04 12:15:53,141][495491] Updated weights for policy 0, policy_version 19280 (0.0012) +[2026-06-04 12:15:56,299][495491] Updated weights for policy 0, policy_version 19376 (0.0011) +[2026-06-04 12:15:57,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10376.6, 300 sec: 10108.1). Total num frames: 9928704. Throughput: 0: 10319.7. Samples: 9909760. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:15:57,177][494436] Avg episode reward: [(0, '3652.600')] +[2026-06-04 12:15:59,722][495491] Updated weights for policy 0, policy_version 19443 (0.0013) +[2026-06-04 12:16:02,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 9961472. Throughput: 0: 10342.4. Samples: 9973248. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:16:02,177][494436] Avg episode reward: [(0, '3665.850')] +[2026-06-04 12:16:03,294][495491] Updated weights for policy 0, policy_version 19520 (0.0010) +[2026-06-04 12:16:07,178][494436] Fps is (10 sec: 9828.9, 60 sec: 10376.3, 300 sec: 10108.0). Total num frames: 10027008. Throughput: 0: 10205.5. Samples: 10031104. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:16:07,180][494436] Avg episode reward: [(0, '3903.700')] +[2026-06-04 12:16:07,186][495402] Saving new best policy, reward=3903.700! +[2026-06-04 12:16:09,282][495491] Updated weights for policy 0, policy_version 19601 (0.0011) +[2026-06-04 12:16:12,176][494436] Fps is (10 sec: 9830.5, 60 sec: 9966.9, 300 sec: 10108.1). Total num frames: 10059776. Throughput: 0: 10194.5. Samples: 10062336. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:16:12,177][494436] Avg episode reward: [(0, '4044.350')] +[2026-06-04 12:16:12,180][495402] Saving new best policy, reward=4044.350! +[2026-06-04 12:16:12,404][495491] Updated weights for policy 0, policy_version 19664 (0.0009) +[2026-06-04 12:16:15,839][495491] Updated weights for policy 0, policy_version 19744 (0.0012) +[2026-06-04 12:16:17,176][494436] Fps is (10 sec: 9831.8, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 10125312. Throughput: 0: 10183.1. Samples: 10125312. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:16:17,177][494436] Avg episode reward: [(0, '3976.800')] +[2026-06-04 12:16:19,125][495491] Updated weights for policy 0, policy_version 19824 (0.0013) +[2026-06-04 12:16:22,176][494436] Fps is (10 sec: 11468.5, 60 sec: 10103.4, 300 sec: 10163.6). Total num frames: 10174464. Throughput: 0: 10217.2. Samples: 10187264. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:16:22,177][494436] Avg episode reward: [(0, '4089.950')] +[2026-06-04 12:16:22,305][495491] Updated weights for policy 0, policy_version 19891 (0.0011) +[2026-06-04 12:16:22,437][495402] Saving new best policy, reward=4089.950! +[2026-06-04 12:16:25,155][495491] Updated weights for policy 0, policy_version 19937 (0.0012) +[2026-06-04 12:16:27,176][494436] Fps is (10 sec: 9830.6, 60 sec: 10376.6, 300 sec: 10108.1). Total num frames: 10223616. Throughput: 0: 10240.1. Samples: 10220032. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:16:27,177][494436] Avg episode reward: [(0, '4044.900')] +[2026-06-04 12:16:28,405][495491] Updated weights for policy 0, policy_version 20016 (0.0010) +[2026-06-04 12:16:31,798][495491] Updated weights for policy 0, policy_version 20088 (0.0012) +[2026-06-04 12:16:32,176][494436] Fps is (10 sec: 11468.8, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 10289152. Throughput: 0: 10239.9. Samples: 10282496. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:16:32,178][494436] Avg episode reward: [(0, '4172.600')] +[2026-06-04 12:16:32,182][495402] Saving new best policy, reward=4172.600! +[2026-06-04 12:16:35,146][495491] Updated weights for policy 0, policy_version 20160 (0.0011) +[2026-06-04 12:16:37,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10240.0, 300 sec: 10108.1). Total num frames: 10321920. Throughput: 0: 10251.4. Samples: 10340864. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:16:37,177][494436] Avg episode reward: [(0, '4287.400')] +[2026-06-04 12:16:37,181][495402] Saving new best policy, reward=4287.400! +[2026-06-04 12:16:41,291][495491] Updated weights for policy 0, policy_version 20240 (0.0012) +[2026-06-04 12:16:41,454][495402] Signal inference workers to stop experience collection... (950 times) +[2026-06-04 12:16:41,486][495491] InferenceWorker_p0-w0: stopping experience collection (950 times) +[2026-06-04 12:16:41,572][495402] Signal inference workers to resume experience collection... (950 times) +[2026-06-04 12:16:41,573][495491] InferenceWorker_p0-w0: resuming experience collection (950 times) +[2026-06-04 12:16:42,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 10387456. Throughput: 0: 10217.2. Samples: 10369536. Policy #0 lag: (min: 5.0, avg: 9.0, max: 69.0) +[2026-06-04 12:16:42,177][494436] Avg episode reward: [(0, '4216.300')] +[2026-06-04 12:16:44,449][495491] Updated weights for policy 0, policy_version 20320 (0.0014) +[2026-06-04 12:16:47,176][494436] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 10420224. Throughput: 0: 10205.9. Samples: 10432512. Policy #0 lag: (min: 5.0, avg: 9.0, max: 69.0) +[2026-06-04 12:16:47,177][494436] Avg episode reward: [(0, '4133.850')] +[2026-06-04 12:16:47,778][495491] Updated weights for policy 0, policy_version 20385 (0.0010) +[2026-06-04 12:16:51,289][495491] Updated weights for policy 0, policy_version 20465 (0.0013) +[2026-06-04 12:16:52,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.6, 300 sec: 10163.6). Total num frames: 10485760. Throughput: 0: 10217.6. Samples: 10490880. Policy #0 lag: (min: 5.0, avg: 9.0, max: 69.0) +[2026-06-04 12:16:52,177][494436] Avg episode reward: [(0, '4330.000')] +[2026-06-04 12:16:52,182][495402] Saving new best policy, reward=4330.000! +[2026-06-04 12:16:54,574][495491] Updated weights for policy 0, policy_version 20543 (0.0012) +[2026-06-04 12:16:57,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10108.1). Total num frames: 10518528. Throughput: 0: 10194.5. Samples: 10521088. Policy #0 lag: (min: 5.0, avg: 9.0, max: 69.0) +[2026-06-04 12:16:57,177][494436] Avg episode reward: [(0, '4383.000')] +[2026-06-04 12:16:57,503][495402] Saving new best policy, reward=4383.000! +[2026-06-04 12:16:57,954][495491] Updated weights for policy 0, policy_version 20608 (0.0012) +[2026-06-04 12:17:02,176][494436] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10135.9). Total num frames: 10584064. Throughput: 0: 10194.5. Samples: 10584064. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:17:02,178][494436] Avg episode reward: [(0, '4225.650')] +[2026-06-04 12:17:03,784][495491] Updated weights for policy 0, policy_version 20688 (0.0012) +[2026-06-04 12:17:06,867][495491] Updated weights for policy 0, policy_version 20784 (0.0013) +[2026-06-04 12:17:07,176][494436] Fps is (10 sec: 13107.4, 60 sec: 10376.8, 300 sec: 10219.2). Total num frames: 10649600. Throughput: 0: 10285.6. Samples: 10650112. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:17:07,177][494436] Avg episode reward: [(0, '4159.100')] +[2026-06-04 12:17:10,161][495491] Updated weights for policy 0, policy_version 20861 (0.0011) +[2026-06-04 12:17:12,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 10682368. Throughput: 0: 10262.7. Samples: 10681856. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:17:12,177][494436] Avg episode reward: [(0, '4086.500')] +[2026-06-04 12:17:16,154][495491] Updated weights for policy 0, policy_version 20944 (0.0012) +[2026-06-04 12:17:17,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 10747904. Throughput: 0: 10205.9. Samples: 10741760. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:17:17,177][494436] Avg episode reward: [(0, '4114.600')] +[2026-06-04 12:17:19,505][495491] Updated weights for policy 0, policy_version 21024 (0.0011) +[2026-06-04 12:17:22,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10103.5, 300 sec: 10108.1). Total num frames: 10780672. Throughput: 0: 10308.2. Samples: 10804736. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:17:22,177][494436] Avg episode reward: [(0, '4072.950')] +[2026-06-04 12:17:22,646][495491] Updated weights for policy 0, policy_version 21104 (0.0012) +[2026-06-04 12:17:25,678][495491] Updated weights for policy 0, policy_version 21168 (0.0012) +[2026-06-04 12:17:27,176][494436] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 10846208. Throughput: 0: 10387.9. Samples: 10836992. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:17:27,177][494436] Avg episode reward: [(0, '4035.900')] +[2026-06-04 12:17:28,950][495491] Updated weights for policy 0, policy_version 21242 (0.0015) +[2026-06-04 12:17:32,176][494436] Fps is (10 sec: 12288.0, 60 sec: 10240.0, 300 sec: 10191.4). Total num frames: 10903552. Throughput: 0: 10353.8. Samples: 10898432. Policy #0 lag: (min: 13.0, avg: 17.2, max: 77.0) +[2026-06-04 12:17:32,177][494436] Avg episode reward: [(0, '4038.100')] +[2026-06-04 12:17:32,180][495491] Updated weights for policy 0, policy_version 21306 (0.0013) +[2026-06-04 12:17:34,886][495402] Signal inference workers to stop experience collection... (1000 times) +[2026-06-04 12:17:34,914][495491] InferenceWorker_p0-w0: stopping experience collection (1000 times) +[2026-06-04 12:17:35,041][495402] Signal inference workers to resume experience collection... (1000 times) +[2026-06-04 12:17:35,042][495491] InferenceWorker_p0-w0: resuming experience collection (1000 times) +[2026-06-04 12:17:35,430][495491] Updated weights for policy 0, policy_version 21376 (0.0011) +[2026-06-04 12:17:37,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 10944512. Throughput: 0: 10444.8. Samples: 10960896. Policy #0 lag: (min: 13.0, avg: 17.2, max: 77.0) +[2026-06-04 12:17:37,177][494436] Avg episode reward: [(0, '4009.950')] +[2026-06-04 12:17:38,715][495491] Updated weights for policy 0, policy_version 21440 (0.0012) +[2026-06-04 12:17:42,176][494436] Fps is (10 sec: 10649.6, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11010048. Throughput: 0: 10444.8. Samples: 10991104. Policy #0 lag: (min: 13.0, avg: 17.2, max: 77.0) +[2026-06-04 12:17:42,177][494436] Avg episode reward: [(0, '4013.550')] +[2026-06-04 12:17:42,183][495402] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride4_seed13/checkpoint_p0/checkpoint_000021504_11010048.pth... +[2026-06-04 12:17:44,189][495491] Updated weights for policy 0, policy_version 21505 (0.0014) +[2026-06-04 12:17:47,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11042816. Throughput: 0: 10490.3. Samples: 11056128. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 12:17:47,177][494436] Avg episode reward: [(0, '4114.950')] +[2026-06-04 12:17:47,415][495491] Updated weights for policy 0, policy_version 21600 (0.0012) +[2026-06-04 12:17:51,097][495491] Updated weights for policy 0, policy_version 21687 (0.0010) +[2026-06-04 12:17:52,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11108352. Throughput: 0: 10319.6. Samples: 11114496. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 12:17:52,177][494436] Avg episode reward: [(0, '4222.000')] +[2026-06-04 12:17:54,298][495491] Updated weights for policy 0, policy_version 21760 (0.0012) +[2026-06-04 12:17:57,176][494436] Fps is (10 sec: 10649.6, 60 sec: 10513.1, 300 sec: 10247.0). Total num frames: 11149312. Throughput: 0: 10342.4. Samples: 11147264. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 12:17:57,177][494436] Avg episode reward: [(0, '4283.950')] +[2026-06-04 12:18:00,174][495491] Updated weights for policy 0, policy_version 21840 (0.0010) +[2026-06-04 12:18:02,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 11206656. Throughput: 0: 10387.9. Samples: 11209216. Policy #0 lag: (min: 3.0, avg: 8.3, max: 67.0) +[2026-06-04 12:18:02,177][494436] Avg episode reward: [(0, '4272.250')] +[2026-06-04 12:18:03,700][495491] Updated weights for policy 0, policy_version 21936 (0.0011) +[2026-06-04 12:18:07,037][495491] Updated weights for policy 0, policy_version 22000 (0.0012) +[2026-06-04 12:18:07,176][494436] Fps is (10 sec: 11468.6, 60 sec: 10239.9, 300 sec: 10302.5). Total num frames: 11264000. Throughput: 0: 10387.9. Samples: 11272192. Policy #0 lag: (min: 3.0, avg: 8.3, max: 67.0) +[2026-06-04 12:18:07,178][494436] Avg episode reward: [(0, '4325.450')] +[2026-06-04 12:18:10,122][495491] Updated weights for policy 0, policy_version 22067 (0.0012) +[2026-06-04 12:18:12,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11304960. Throughput: 0: 10387.9. Samples: 11304448. Policy #0 lag: (min: 3.0, avg: 8.3, max: 67.0) +[2026-06-04 12:18:12,177][494436] Avg episode reward: [(0, '4410.200')] +[2026-06-04 12:18:12,183][495402] Saving new best policy, reward=4410.200! +[2026-06-04 12:18:13,486][495491] Updated weights for policy 0, policy_version 22136 (0.0014) +[2026-06-04 12:18:16,740][495491] Updated weights for policy 0, policy_version 22207 (0.0014) +[2026-06-04 12:18:17,176][494436] Fps is (10 sec: 10649.6, 60 sec: 10376.5, 300 sec: 10302.5). Total num frames: 11370496. Throughput: 0: 10342.4. Samples: 11363840. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:18:17,177][494436] Avg episode reward: [(0, '4541.850')] +[2026-06-04 12:18:17,182][495402] Saving new best policy, reward=4541.850! +[2026-06-04 12:18:22,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11403264. Throughput: 0: 10285.5. Samples: 11423744. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:18:22,177][494436] Avg episode reward: [(0, '4513.800')] +[2026-06-04 12:18:22,690][495491] Updated weights for policy 0, policy_version 22288 (0.0012) +[2026-06-04 12:18:26,235][495491] Updated weights for policy 0, policy_version 22387 (0.0012) +[2026-06-04 12:18:27,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10246.9). Total num frames: 11468800. Throughput: 0: 10285.5. Samples: 11453952. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:18:27,177][494436] Avg episode reward: [(0, '4488.850')] +[2026-06-04 12:18:28,995][495402] Signal inference workers to stop experience collection... (1050 times) +[2026-06-04 12:18:29,046][495491] InferenceWorker_p0-w0: stopping experience collection (1050 times) +[2026-06-04 12:18:29,214][495402] Signal inference workers to resume experience collection... (1050 times) +[2026-06-04 12:18:29,215][495491] InferenceWorker_p0-w0: resuming experience collection (1050 times) +[2026-06-04 12:18:29,662][495491] Updated weights for policy 0, policy_version 22455 (0.0014) +[2026-06-04 12:18:32,176][494436] Fps is (10 sec: 9830.5, 60 sec: 9966.9, 300 sec: 10219.2). Total num frames: 11501568. Throughput: 0: 10183.1. Samples: 11514368. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:18:32,178][494436] Avg episode reward: [(0, '4516.900')] +[2026-06-04 12:18:32,905][495491] Updated weights for policy 0, policy_version 22523 (0.0012) +[2026-06-04 12:18:37,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10246.9). Total num frames: 11567104. Throughput: 0: 10217.3. Samples: 11574272. Policy #0 lag: (min: 3.0, avg: 7.1, max: 67.0) +[2026-06-04 12:18:37,177][494436] Avg episode reward: [(0, '4546.550')] +[2026-06-04 12:18:37,180][495402] Saving new best policy, reward=4546.550! +[2026-06-04 12:18:39,031][495491] Updated weights for policy 0, policy_version 22608 (0.0015) +[2026-06-04 12:18:42,176][494436] Fps is (10 sec: 10649.9, 60 sec: 9967.0, 300 sec: 10246.9). Total num frames: 11608064. Throughput: 0: 10149.0. Samples: 11603968. Policy #0 lag: (min: 3.0, avg: 7.1, max: 67.0) +[2026-06-04 12:18:42,177][494436] Avg episode reward: [(0, '4611.600')] +[2026-06-04 12:18:42,209][495491] Updated weights for policy 0, policy_version 22673 (0.0010) +[2026-06-04 12:18:42,455][495402] Saving new best policy, reward=4611.600! +[2026-06-04 12:18:45,387][495491] Updated weights for policy 0, policy_version 22752 (0.0015) +[2026-06-04 12:18:47,177][494436] Fps is (10 sec: 9830.1, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 11665408. Throughput: 0: 10183.0. Samples: 11667456. Policy #0 lag: (min: 3.0, avg: 7.1, max: 67.0) +[2026-06-04 12:18:47,178][494436] Avg episode reward: [(0, '4526.250')] +[2026-06-04 12:18:48,721][495491] Updated weights for policy 0, policy_version 22832 (0.0015) +[2026-06-04 12:18:52,130][495491] Updated weights for policy 0, policy_version 22905 (0.0012) +[2026-06-04 12:18:52,176][494436] Fps is (10 sec: 11468.6, 60 sec: 10240.0, 300 sec: 10302.5). Total num frames: 11722752. Throughput: 0: 10160.4. Samples: 11729408. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:18:52,177][494436] Avg episode reward: [(0, '4639.150')] +[2026-06-04 12:18:52,209][495402] Saving new best policy, reward=4639.150! +[2026-06-04 12:18:55,404][495491] Updated weights for policy 0, policy_version 22976 (0.0013) +[2026-06-04 12:18:57,176][494436] Fps is (10 sec: 9830.7, 60 sec: 10240.0, 300 sec: 10219.2). Total num frames: 11763712. Throughput: 0: 10137.6. Samples: 11760640. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:18:57,177][494436] Avg episode reward: [(0, '4808.600')] +[2026-06-04 12:18:57,180][495402] Saving new best policy, reward=4808.600! +[2026-06-04 12:19:01,275][495491] Updated weights for policy 0, policy_version 23056 (0.0012) +[2026-06-04 12:19:02,176][494436] Fps is (10 sec: 10649.4, 60 sec: 10376.5, 300 sec: 10302.5). Total num frames: 11829248. Throughput: 0: 10194.5. Samples: 11822592. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:19:02,177][494436] Avg episode reward: [(0, '4926.650')] +[2026-06-04 12:19:02,182][495402] Saving new best policy, reward=4926.650! +[2026-06-04 12:19:04,701][495491] Updated weights for policy 0, policy_version 23152 (0.0012) +[2026-06-04 12:19:07,176][494436] Fps is (10 sec: 9830.5, 60 sec: 9967.0, 300 sec: 10219.2). Total num frames: 11862016. Throughput: 0: 10251.5. Samples: 11885056. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) +[2026-06-04 12:19:07,177][494436] Avg episode reward: [(0, '4944.500')] +[2026-06-04 12:19:07,181][495402] Saving new best policy, reward=4944.500! +[2026-06-04 12:19:07,826][495491] Updated weights for policy 0, policy_version 23216 (0.0013) +[2026-06-04 12:19:11,196][495491] Updated weights for policy 0, policy_version 23284 (0.0012) +[2026-06-04 12:19:12,176][494436] Fps is (10 sec: 9830.7, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 11927552. Throughput: 0: 10262.8. Samples: 11915776. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) +[2026-06-04 12:19:12,176][494436] Avg episode reward: [(0, '5015.400')] +[2026-06-04 12:19:12,180][495402] Saving new best policy, reward=5015.400! +[2026-06-04 12:19:14,507][495491] Updated weights for policy 0, policy_version 23359 (0.0012) +[2026-06-04 12:19:17,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10219.2). Total num frames: 11960320. Throughput: 0: 10274.2. Samples: 11976704. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) +[2026-06-04 12:19:17,177][494436] Avg episode reward: [(0, '5118.350')] +[2026-06-04 12:19:17,401][495402] Saving new best policy, reward=5118.350! +[2026-06-04 12:19:17,813][495491] Updated weights for policy 0, policy_version 23424 (0.0011) +[2026-06-04 12:19:20,586][495402] Signal inference workers to stop experience collection... (1100 times) +[2026-06-04 12:19:20,615][495491] InferenceWorker_p0-w0: stopping experience collection (1100 times) +[2026-06-04 12:19:20,710][495402] Signal inference workers to resume experience collection... (1100 times) +[2026-06-04 12:19:20,711][495491] InferenceWorker_p0-w0: resuming experience collection (1100 times) +[2026-06-04 12:19:22,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 12025856. Throughput: 0: 10274.2. Samples: 12036608. Policy #0 lag: (min: 15.0, avg: 19.7, max: 79.0) +[2026-06-04 12:19:22,177][494436] Avg episode reward: [(0, '5089.600')] +[2026-06-04 12:19:23,762][495491] Updated weights for policy 0, policy_version 23520 (0.0010) +[2026-06-04 12:19:27,176][494436] Fps is (10 sec: 12287.8, 60 sec: 10240.0, 300 sec: 10302.5). Total num frames: 12083200. Throughput: 0: 10285.5. Samples: 12066816. Policy #0 lag: (min: 15.0, avg: 19.7, max: 79.0) +[2026-06-04 12:19:27,177][495491] Updated weights for policy 0, policy_version 23601 (0.0012) +[2026-06-04 12:19:27,177][494436] Avg episode reward: [(0, '4977.750')] +[2026-06-04 12:19:30,605][495491] Updated weights for policy 0, policy_version 23672 (0.0011) +[2026-06-04 12:19:32,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 12124160. Throughput: 0: 10183.2. Samples: 12125696. Policy #0 lag: (min: 15.0, avg: 19.7, max: 79.0) +[2026-06-04 12:19:32,177][494436] Avg episode reward: [(0, '4902.700')] +[2026-06-04 12:19:33,919][495491] Updated weights for policy 0, policy_version 23744 (0.0013) +[2026-06-04 12:19:37,176][494436] Fps is (10 sec: 10649.7, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 12189696. Throughput: 0: 10240.0. Samples: 12190208. Policy #0 lag: (min: 4.0, avg: 8.4, max: 68.0) +[2026-06-04 12:19:37,177][494436] Avg episode reward: [(0, '4985.100')] +[2026-06-04 12:19:39,744][495491] Updated weights for policy 0, policy_version 23840 (0.0015) +[2026-06-04 12:19:42,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10240.0, 300 sec: 10219.2). Total num frames: 12222464. Throughput: 0: 10274.1. Samples: 12222976. Policy #0 lag: (min: 4.0, avg: 8.4, max: 68.0) +[2026-06-04 12:19:42,177][494436] Avg episode reward: [(0, '4941.350')] +[2026-06-04 12:19:43,447][495491] Updated weights for policy 0, policy_version 23925 (0.0013) +[2026-06-04 12:19:46,622][495491] Updated weights for policy 0, policy_version 23993 (0.0011) +[2026-06-04 12:19:47,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10376.6, 300 sec: 10330.3). Total num frames: 12288000. Throughput: 0: 10217.3. Samples: 12282368. Policy #0 lag: (min: 4.0, avg: 8.4, max: 68.0) +[2026-06-04 12:19:47,177][494436] Avg episode reward: [(0, '4901.650')] +[2026-06-04 12:19:50,061][495491] Updated weights for policy 0, policy_version 24064 (0.0013) +[2026-06-04 12:19:52,176][494436] Fps is (10 sec: 9830.5, 60 sec: 9966.9, 300 sec: 10219.2). Total num frames: 12320768. Throughput: 0: 10137.6. Samples: 12341248. Policy #0 lag: (min: 4.0, avg: 8.4, max: 68.0) +[2026-06-04 12:19:52,178][494436] Avg episode reward: [(0, '4768.550')] +[2026-06-04 12:19:55,818][495491] Updated weights for policy 0, policy_version 24144 (0.0011) +[2026-06-04 12:19:57,176][494436] Fps is (10 sec: 9830.6, 60 sec: 10376.6, 300 sec: 10330.3). Total num frames: 12386304. Throughput: 0: 10171.7. Samples: 12373504. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:19:57,177][494436] Avg episode reward: [(0, '4804.400')] +[2026-06-04 12:19:59,157][495491] Updated weights for policy 0, policy_version 24224 (0.0011) +[2026-06-04 12:20:02,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10219.2). Total num frames: 12419072. Throughput: 0: 10171.7. Samples: 12434432. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:20:02,177][494436] Avg episode reward: [(0, '4772.450')] +[2026-06-04 12:20:02,868][495491] Updated weights for policy 0, policy_version 24311 (0.0013) +[2026-06-04 12:20:06,256][495491] Updated weights for policy 0, policy_version 24384 (0.0011) +[2026-06-04 12:20:07,176][494436] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10246.9). Total num frames: 12484608. Throughput: 0: 10092.1. Samples: 12490752. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 12:20:07,177][494436] Avg episode reward: [(0, '4914.700')] +[2026-06-04 12:20:12,006][495491] Updated weights for policy 0, policy_version 24465 (0.0012) +[2026-06-04 12:20:12,176][494436] Fps is (10 sec: 11468.7, 60 sec: 10103.4, 300 sec: 10274.7). Total num frames: 12533760. Throughput: 0: 10137.6. Samples: 12523008. Policy #0 lag: (min: 47.0, avg: 50.6, max: 111.0) +[2026-06-04 12:20:12,177][494436] Avg episode reward: [(0, '5028.200')] +[2026-06-04 12:20:15,074][495402] Signal inference workers to stop experience collection... (1150 times) +[2026-06-04 12:20:15,075][495491] Updated weights for policy 0, policy_version 24528 (0.0011) +[2026-06-04 12:20:15,107][495491] InferenceWorker_p0-w0: stopping experience collection (1150 times) +[2026-06-04 12:20:15,216][495402] Signal inference workers to resume experience collection... (1150 times) +[2026-06-04 12:20:15,217][495491] InferenceWorker_p0-w0: resuming experience collection (1150 times) +[2026-06-04 12:20:17,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 12582912. Throughput: 0: 10240.0. Samples: 12586496. Policy #0 lag: (min: 47.0, avg: 50.6, max: 111.0) +[2026-06-04 12:20:17,177][494436] Avg episode reward: [(0, '4968.650')] +[2026-06-04 12:20:18,350][495491] Updated weights for policy 0, policy_version 24592 (0.0012) +[2026-06-04 12:20:21,494][495491] Updated weights for policy 0, policy_version 24672 (0.0012) +[2026-06-04 12:20:22,176][494436] Fps is (10 sec: 11468.8, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 12648448. Throughput: 0: 10217.2. Samples: 12649984. Policy #0 lag: (min: 47.0, avg: 50.6, max: 111.0) +[2026-06-04 12:20:22,177][494436] Avg episode reward: [(0, '5001.050')] +[2026-06-04 12:20:24,917][495491] Updated weights for policy 0, policy_version 24752 (0.0011) +[2026-06-04 12:20:27,176][494436] Fps is (10 sec: 9830.5, 60 sec: 9966.9, 300 sec: 10219.2). Total num frames: 12681216. Throughput: 0: 10194.5. Samples: 12681728. Policy #0 lag: (min: 47.0, avg: 50.6, max: 111.0) +[2026-06-04 12:20:27,177][494436] Avg episode reward: [(0, '5278.500')] +[2026-06-04 12:20:27,181][495402] Saving new best policy, reward=5278.500! +[2026-06-04 12:20:28,179][495491] Updated weights for policy 0, policy_version 24821 (0.0012) +[2026-06-04 12:20:31,326][495491] Updated weights for policy 0, policy_version 24890 (0.0011) +[2026-06-04 12:20:32,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10302.5). Total num frames: 12746752. Throughput: 0: 10240.0. Samples: 12743168. Policy #0 lag: (min: 13.0, avg: 16.8, max: 77.0) +[2026-06-04 12:20:32,177][494436] Avg episode reward: [(0, '5297.000')] +[2026-06-04 12:20:32,181][495402] Saving new best policy, reward=5297.000! +[2026-06-04 12:20:36,782][495491] Updated weights for policy 0, policy_version 24961 (0.0012) +[2026-06-04 12:20:37,176][494436] Fps is (10 sec: 11468.7, 60 sec: 10103.5, 300 sec: 10274.7). Total num frames: 12795904. Throughput: 0: 10387.9. Samples: 12808704. Policy #0 lag: (min: 13.0, avg: 16.8, max: 77.0) +[2026-06-04 12:20:37,177][494436] Avg episode reward: [(0, '5286.650')] +[2026-06-04 12:20:40,017][495491] Updated weights for policy 0, policy_version 25040 (0.0011) +[2026-06-04 12:20:42,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 12845056. Throughput: 0: 10387.9. Samples: 12840960. Policy #0 lag: (min: 13.0, avg: 16.8, max: 77.0) +[2026-06-04 12:20:42,177][494436] Avg episode reward: [(0, '5231.100')] +[2026-06-04 12:20:43,132][495491] Updated weights for policy 0, policy_version 25120 (0.0011) +[2026-06-04 12:20:46,117][495491] Updated weights for policy 0, policy_version 25169 (0.0010) +[2026-06-04 12:20:47,176][494436] Fps is (10 sec: 11468.9, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 12910592. Throughput: 0: 10478.9. Samples: 12905984. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) +[2026-06-04 12:20:47,178][494436] Avg episode reward: [(0, '5110.250')] +[2026-06-04 12:20:49,207][495491] Updated weights for policy 0, policy_version 25233 (0.0012) +[2026-06-04 12:20:52,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 12943360. Throughput: 0: 10615.5. Samples: 12968448. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) +[2026-06-04 12:20:52,177][494436] Avg episode reward: [(0, '5122.900')] +[2026-06-04 12:20:52,320][495491] Updated weights for policy 0, policy_version 25312 (0.0012) +[2026-06-04 12:20:55,683][495491] Updated weights for policy 0, policy_version 25392 (0.0012) +[2026-06-04 12:20:57,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 13008896. Throughput: 0: 10615.5. Samples: 13000704. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) +[2026-06-04 12:20:57,177][494436] Avg episode reward: [(0, '5092.900')] +[2026-06-04 12:20:58,999][495491] Updated weights for policy 0, policy_version 25462 (0.0015) +[2026-06-04 12:21:02,037][495491] Updated weights for policy 0, policy_version 25529 (0.0013) +[2026-06-04 12:21:02,176][494436] Fps is (10 sec: 13107.2, 60 sec: 10922.7, 300 sec: 10330.3). Total num frames: 13074432. Throughput: 0: 10592.7. Samples: 13063168. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) +[2026-06-04 12:21:02,177][494436] Avg episode reward: [(0, '5025.950')] +[2026-06-04 12:21:05,083][495491] Updated weights for policy 0, policy_version 25591 (0.0012) +[2026-06-04 12:21:07,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 13107200. Throughput: 0: 10592.7. Samples: 13126656. Policy #0 lag: (min: 3.0, avg: 6.5, max: 67.0) +[2026-06-04 12:21:07,177][494436] Avg episode reward: [(0, '5048.400')] +[2026-06-04 12:21:07,591][495402] Signal inference workers to stop experience collection... (1200 times) +[2026-06-04 12:21:07,619][495491] InferenceWorker_p0-w0: stopping experience collection (1200 times) +[2026-06-04 12:21:07,742][495402] Signal inference workers to resume experience collection... (1200 times) +[2026-06-04 12:21:07,743][495491] InferenceWorker_p0-w0: resuming experience collection (1200 times) +[2026-06-04 12:21:08,248][495491] Updated weights for policy 0, policy_version 25659 (0.0014) +[2026-06-04 12:21:11,539][495491] Updated weights for policy 0, policy_version 25728 (0.0011) +[2026-06-04 12:21:12,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10649.6, 300 sec: 10330.2). Total num frames: 13172736. Throughput: 0: 10581.3. Samples: 13157888. Policy #0 lag: (min: 3.0, avg: 6.5, max: 67.0) +[2026-06-04 12:21:12,177][494436] Avg episode reward: [(0, '5200.500')] +[2026-06-04 12:21:14,614][495491] Updated weights for policy 0, policy_version 25792 (0.0013) +[2026-06-04 12:21:17,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10274.7). Total num frames: 13205504. Throughput: 0: 10615.5. Samples: 13220864. Policy #0 lag: (min: 3.0, avg: 6.5, max: 67.0) +[2026-06-04 12:21:17,177][494436] Avg episode reward: [(0, '5191.300')] +[2026-06-04 12:21:20,418][495491] Updated weights for policy 0, policy_version 25888 (0.0012) +[2026-06-04 12:21:22,176][494436] Fps is (10 sec: 9830.6, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 13271040. Throughput: 0: 10604.1. Samples: 13285888. Policy #0 lag: (min: 3.0, avg: 6.5, max: 67.0) +[2026-06-04 12:21:22,177][494436] Avg episode reward: [(0, '5164.750')] +[2026-06-04 12:21:23,355][495491] Updated weights for policy 0, policy_version 25937 (0.0011) +[2026-06-04 12:21:26,638][495491] Updated weights for policy 0, policy_version 26017 (0.0013) +[2026-06-04 12:21:27,176][494436] Fps is (10 sec: 13107.1, 60 sec: 10922.7, 300 sec: 10330.3). Total num frames: 13336576. Throughput: 0: 10547.2. Samples: 13315584. Policy #0 lag: (min: 7.0, avg: 11.5, max: 71.0) +[2026-06-04 12:21:27,177][494436] Avg episode reward: [(0, '5227.300')] +[2026-06-04 12:21:29,960][495491] Updated weights for policy 0, policy_version 26102 (0.0012) +[2026-06-04 12:21:32,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10330.3). Total num frames: 13369344. Throughput: 0: 10490.3. Samples: 13378048. Policy #0 lag: (min: 7.0, avg: 11.5, max: 71.0) +[2026-06-04 12:21:32,177][494436] Avg episode reward: [(0, '5337.300')] +[2026-06-04 12:21:32,181][495402] Saving new best policy, reward=5337.300! +[2026-06-04 12:21:33,242][495491] Updated weights for policy 0, policy_version 26174 (0.0012) +[2026-06-04 12:21:37,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10649.6, 300 sec: 10330.3). Total num frames: 13434880. Throughput: 0: 10513.1. Samples: 13441536. Policy #0 lag: (min: 7.0, avg: 11.5, max: 71.0) +[2026-06-04 12:21:37,177][494436] Avg episode reward: [(0, '5363.500')] +[2026-06-04 12:21:37,182][495402] Saving new best policy, reward=5363.500! +[2026-06-04 12:21:38,949][495491] Updated weights for policy 0, policy_version 26256 (0.0014) +[2026-06-04 12:21:42,176][494436] Fps is (10 sec: 9830.1, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 13467648. Throughput: 0: 10490.2. Samples: 13472768. Policy #0 lag: (min: 7.0, avg: 11.5, max: 71.0) +[2026-06-04 12:21:42,177][494436] Avg episode reward: [(0, '5480.000')] +[2026-06-04 12:21:42,426][495402] Saving new best policy, reward=5480.000! +[2026-06-04 12:21:42,620][495491] Updated weights for policy 0, policy_version 26352 (0.0012) +[2026-06-04 12:21:46,040][495491] Updated weights for policy 0, policy_version 26423 (0.0010) +[2026-06-04 12:21:47,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 13533184. Throughput: 0: 10444.8. Samples: 13533184. Policy #0 lag: (min: 8.0, avg: 11.6, max: 72.0) +[2026-06-04 12:21:47,178][494436] Avg episode reward: [(0, '5603.100')] +[2026-06-04 12:21:47,182][495402] Saving new best policy, reward=5603.100! +[2026-06-04 12:21:49,383][495491] Updated weights for policy 0, policy_version 26496 (0.0011) +[2026-06-04 12:21:52,176][494436] Fps is (10 sec: 9830.6, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 13565952. Throughput: 0: 10342.4. Samples: 13592064. Policy #0 lag: (min: 8.0, avg: 11.6, max: 72.0) +[2026-06-04 12:21:52,177][494436] Avg episode reward: [(0, '5702.600')] +[2026-06-04 12:21:52,366][495402] Saving new best policy, reward=5702.600! +[2026-06-04 12:21:55,950][495491] Updated weights for policy 0, policy_version 26608 (0.0014) +[2026-06-04 12:21:57,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 13631488. Throughput: 0: 10274.2. Samples: 13620224. Policy #0 lag: (min: 8.0, avg: 11.6, max: 72.0) +[2026-06-04 12:21:57,177][494436] Avg episode reward: [(0, '5689.450')] +[2026-06-04 12:21:59,025][495402] Signal inference workers to stop experience collection... (1250 times) +[2026-06-04 12:21:59,055][495491] InferenceWorker_p0-w0: stopping experience collection (1250 times) +[2026-06-04 12:21:59,183][495402] Signal inference workers to resume experience collection... (1250 times) +[2026-06-04 12:21:59,183][495491] InferenceWorker_p0-w0: resuming experience collection (1250 times) +[2026-06-04 12:21:59,255][495491] Updated weights for policy 0, policy_version 26675 (0.0013) +[2026-06-04 12:22:02,176][494436] Fps is (10 sec: 12288.2, 60 sec: 10240.0, 300 sec: 10302.5). Total num frames: 13688832. Throughput: 0: 10240.0. Samples: 13681664. Policy #0 lag: (min: 3.0, avg: 7.5, max: 67.0) +[2026-06-04 12:22:02,177][494436] Avg episode reward: [(0, '5631.750')] +[2026-06-04 12:22:02,297][495491] Updated weights for policy 0, policy_version 26745 (0.0012) +[2026-06-04 12:22:05,570][495491] Updated weights for policy 0, policy_version 26811 (0.0013) +[2026-06-04 12:22:07,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 13729792. Throughput: 0: 10194.5. Samples: 13744640. Policy #0 lag: (min: 3.0, avg: 7.5, max: 67.0) +[2026-06-04 12:22:07,177][494436] Avg episode reward: [(0, '5762.700')] +[2026-06-04 12:22:07,183][495402] Saving new best policy, reward=5762.700! +[2026-06-04 12:22:08,824][495491] Updated weights for policy 0, policy_version 26879 (0.0014) +[2026-06-04 12:22:12,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10240.0, 300 sec: 10302.5). Total num frames: 13787136. Throughput: 0: 10205.9. Samples: 13774848. Policy #0 lag: (min: 3.0, avg: 7.5, max: 67.0) +[2026-06-04 12:22:12,177][494436] Avg episode reward: [(0, '5744.350')] +[2026-06-04 12:22:15,293][495491] Updated weights for policy 0, policy_version 26992 (0.0014) +[2026-06-04 12:22:17,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 13828096. Throughput: 0: 10080.7. Samples: 13831680. Policy #0 lag: (min: 3.0, avg: 7.5, max: 67.0) +[2026-06-04 12:22:17,177][494436] Avg episode reward: [(0, '5745.400')] +[2026-06-04 12:22:18,677][495491] Updated weights for policy 0, policy_version 27061 (0.0010) +[2026-06-04 12:22:21,923][495491] Updated weights for policy 0, policy_version 27124 (0.0010) +[2026-06-04 12:22:22,176][494436] Fps is (10 sec: 10649.4, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 13893632. Throughput: 0: 10069.3. Samples: 13894656. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 12:22:22,178][494436] Avg episode reward: [(0, '5703.100')] +[2026-06-04 12:22:25,272][495491] Updated weights for policy 0, policy_version 27200 (0.0012) +[2026-06-04 12:22:27,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 10246.9). Total num frames: 13926400. Throughput: 0: 10058.0. Samples: 13925376. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 12:22:27,177][494436] Avg episode reward: [(0, '5757.850')] +[2026-06-04 12:22:31,479][495491] Updated weights for policy 0, policy_version 27280 (0.0014) +[2026-06-04 12:22:32,176][494436] Fps is (10 sec: 9830.6, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 13991936. Throughput: 0: 9989.7. Samples: 13982720. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 12:22:32,177][494436] Avg episode reward: [(0, '5858.150')] +[2026-06-04 12:22:32,179][495402] Saving new best policy, reward=5858.150! +[2026-06-04 12:22:34,763][495491] Updated weights for policy 0, policy_version 27360 (0.0012) +[2026-06-04 12:22:37,176][494436] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 10219.2). Total num frames: 14024704. Throughput: 0: 10058.0. Samples: 14044672. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 12:22:37,177][494436] Avg episode reward: [(0, '5873.100')] +[2026-06-04 12:22:37,181][495402] Saving new best policy, reward=5873.100! +[2026-06-04 12:22:38,015][495491] Updated weights for policy 0, policy_version 27440 (0.0011) +[2026-06-04 12:22:41,030][495491] Updated weights for policy 0, policy_version 27507 (0.0013) +[2026-06-04 12:22:42,176][494436] Fps is (10 sec: 9830.1, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 14090240. Throughput: 0: 10194.4. Samples: 14078976. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) +[2026-06-04 12:22:42,178][494436] Avg episode reward: [(0, '6001.950')] +[2026-06-04 12:22:42,183][495402] Saving new best policy, reward=6001.950! +[2026-06-04 12:22:44,327][495491] Updated weights for policy 0, policy_version 27579 (0.0011) +[2026-06-04 12:22:47,176][494436] Fps is (10 sec: 11469.0, 60 sec: 10103.5, 300 sec: 10274.7). Total num frames: 14139392. Throughput: 0: 10194.5. Samples: 14140416. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) +[2026-06-04 12:22:47,177][494436] Avg episode reward: [(0, '6012.000')] +[2026-06-04 12:22:47,538][495402] Saving new best policy, reward=6012.000! +[2026-06-04 12:22:50,335][495491] Updated weights for policy 0, policy_version 27664 (0.0011) +[2026-06-04 12:22:52,176][494436] Fps is (10 sec: 9830.7, 60 sec: 10376.6, 300 sec: 10302.5). Total num frames: 14188544. Throughput: 0: 10092.1. Samples: 14198784. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) +[2026-06-04 12:22:52,177][494436] Avg episode reward: [(0, '5947.450')] +[2026-06-04 12:22:53,698][495402] Signal inference workers to stop experience collection... (1300 times) +[2026-06-04 12:22:53,728][495491] InferenceWorker_p0-w0: stopping experience collection (1300 times) +[2026-06-04 12:22:53,838][495402] Signal inference workers to resume experience collection... (1300 times) +[2026-06-04 12:22:53,838][495491] InferenceWorker_p0-w0: resuming experience collection (1300 times) +[2026-06-04 12:22:54,052][495491] Updated weights for policy 0, policy_version 27763 (0.0012) +[2026-06-04 12:22:57,176][494436] Fps is (10 sec: 10649.5, 60 sec: 10240.0, 300 sec: 10302.5). Total num frames: 14245888. Throughput: 0: 10080.7. Samples: 14228480. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) +[2026-06-04 12:22:57,177][494436] Avg episode reward: [(0, '5848.150')] +[2026-06-04 12:22:57,286][495491] Updated weights for policy 0, policy_version 27832 (0.0011) +[2026-06-04 12:23:00,621][495491] Updated weights for policy 0, policy_version 27902 (0.0011) +[2026-06-04 12:23:02,176][494436] Fps is (10 sec: 9830.4, 60 sec: 9966.9, 300 sec: 10247.0). Total num frames: 14286848. Throughput: 0: 10194.5. Samples: 14290432. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 12:23:02,177][494436] Avg episode reward: [(0, '5905.850')] +[2026-06-04 12:23:06,449][495491] Updated weights for policy 0, policy_version 27984 (0.0011) +[2026-06-04 12:23:07,176][494436] Fps is (10 sec: 10649.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 14352384. Throughput: 0: 10194.5. Samples: 14353408. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 12:23:07,177][494436] Avg episode reward: [(0, '5884.950')] +[2026-06-04 12:23:09,806][495491] Updated weights for policy 0, policy_version 28064 (0.0011) +[2026-06-04 12:23:12,176][494436] Fps is (10 sec: 9830.1, 60 sec: 9966.9, 300 sec: 10219.2). Total num frames: 14385152. Throughput: 0: 10205.9. Samples: 14384640. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 12:23:12,177][494436] Avg episode reward: [(0, '5877.700')] +[2026-06-04 12:23:13,265][495491] Updated weights for policy 0, policy_version 28144 (0.0012) +[2026-06-04 12:23:16,580][495491] Updated weights for policy 0, policy_version 28208 (0.0011) +[2026-06-04 12:23:17,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 14450688. Throughput: 0: 10274.1. Samples: 14445056. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 12:23:17,177][494436] Avg episode reward: [(0, '5724.250')] +[2026-06-04 12:23:19,916][495491] Updated weights for policy 0, policy_version 28280 (0.0010) +[2026-06-04 12:23:22,176][494436] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 10219.2). Total num frames: 14483456. Throughput: 0: 10205.9. Samples: 14503936. Policy #0 lag: (min: 3.0, avg: 8.0, max: 67.0) +[2026-06-04 12:23:22,177][494436] Avg episode reward: [(0, '5670.400')] +[2026-06-04 12:23:23,301][495491] Updated weights for policy 0, policy_version 28350 (0.0012) +[2026-06-04 12:23:27,176][494436] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 14548992. Throughput: 0: 10103.5. Samples: 14533632. Policy #0 lag: (min: 3.0, avg: 8.0, max: 67.0) +[2026-06-04 12:23:27,177][494436] Avg episode reward: [(0, '5688.200')] +[2026-06-04 12:23:29,196][495491] Updated weights for policy 0, policy_version 28417 (0.0012) +[2026-06-04 12:23:29,836][495491] Updated weights for policy 0, policy_version 28480 (0.0011) +[2026-06-04 12:23:32,176][494436] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 10219.2). Total num frames: 14581760. Throughput: 0: 10103.5. Samples: 14595072. Policy #0 lag: (min: 3.0, avg: 8.0, max: 67.0) +[2026-06-04 12:23:32,177][494436] Avg episode reward: [(0, '5772.000')] +[2026-06-04 12:23:35,533][495491] Updated weights for policy 0, policy_version 28576 (0.0012) +[2026-06-04 12:23:37,176][494436] Fps is (10 sec: 9830.7, 60 sec: 10376.6, 300 sec: 10302.5). Total num frames: 14647296. Throughput: 0: 10217.2. Samples: 14658560. Policy #0 lag: (min: 3.0, avg: 8.0, max: 67.0) +[2026-06-04 12:23:37,177][494436] Avg episode reward: [(0, '5838.050')] +[2026-06-04 12:23:38,959][495491] Updated weights for policy 0, policy_version 28661 (0.0012) +[2026-06-04 12:23:42,176][494436] Fps is (10 sec: 12287.5, 60 sec: 10240.0, 300 sec: 10302.5). Total num frames: 14704640. Throughput: 0: 10239.9. Samples: 14689280. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:23:42,178][494436] Avg episode reward: [(0, '5890.100')] +[2026-06-04 12:23:42,351][495491] Updated weights for policy 0, policy_version 28734 (0.0011) +[2026-06-04 12:23:47,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10103.5, 300 sec: 10246.9). Total num frames: 14745600. Throughput: 0: 10160.3. Samples: 14747648. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:23:47,177][494436] Avg episode reward: [(0, '5924.450')] +[2026-06-04 12:23:48,117][495402] Signal inference workers to stop experience collection... (1350 times) +[2026-06-04 12:23:48,146][495491] InferenceWorker_p0-w0: stopping experience collection (1350 times) +[2026-06-04 12:23:48,273][495402] Signal inference workers to resume experience collection... (1350 times) +[2026-06-04 12:23:48,273][495491] InferenceWorker_p0-w0: resuming experience collection (1350 times) +[2026-06-04 12:23:48,399][495491] Updated weights for policy 0, policy_version 28832 (0.0016) +[2026-06-04 12:23:51,784][495491] Updated weights for policy 0, policy_version 28912 (0.0013) +[2026-06-04 12:23:52,176][494436] Fps is (10 sec: 10649.9, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 14811136. Throughput: 0: 10183.1. Samples: 14811648. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:23:52,177][494436] Avg episode reward: [(0, '5844.000')] +[2026-06-04 12:23:55,324][495491] Updated weights for policy 0, policy_version 28984 (0.0011) +[2026-06-04 12:23:57,176][494436] Fps is (10 sec: 9830.0, 60 sec: 9966.9, 300 sec: 10219.2). Total num frames: 14843904. Throughput: 0: 10148.9. Samples: 14841344. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:23:57,178][494436] Avg episode reward: [(0, '5993.800')] +[2026-06-04 12:23:58,569][495491] Updated weights for policy 0, policy_version 29052 (0.0015) +[2026-06-04 12:24:01,811][495491] Updated weights for policy 0, policy_version 29120 (0.0014) +[2026-06-04 12:24:02,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 14909440. Throughput: 0: 10149.0. Samples: 14901760. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:24:02,177][494436] Avg episode reward: [(0, '6054.600')] +[2026-06-04 12:24:02,180][495402] Saving new best policy, reward=6054.600! +[2026-06-04 12:24:07,176][494436] Fps is (10 sec: 9830.7, 60 sec: 9830.4, 300 sec: 10219.2). Total num frames: 14942208. Throughput: 0: 10274.1. Samples: 14966272. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:24:07,177][494436] Avg episode reward: [(0, '6153.400')] +[2026-06-04 12:24:07,181][495402] Saving new best policy, reward=6153.400! +[2026-06-04 12:24:07,451][495491] Updated weights for policy 0, policy_version 29200 (0.0014) +[2026-06-04 12:24:10,938][495491] Updated weights for policy 0, policy_version 29281 (0.0011) +[2026-06-04 12:24:12,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10376.6, 300 sec: 10330.2). Total num frames: 15007744. Throughput: 0: 10274.2. Samples: 14995968. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:24:12,177][494436] Avg episode reward: [(0, '6106.250')] +[2026-06-04 12:24:14,189][495491] Updated weights for policy 0, policy_version 29360 (0.0014) +[2026-06-04 12:24:17,176][494436] Fps is (10 sec: 11468.9, 60 sec: 10103.5, 300 sec: 10274.7). Total num frames: 15056896. Throughput: 0: 10296.9. Samples: 15058432. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:24:17,177][494436] Avg episode reward: [(0, '6045.150')] +[2026-06-04 12:24:17,385][495491] Updated weights for policy 0, policy_version 29427 (0.0014) +[2026-06-04 12:24:20,731][495491] Updated weights for policy 0, policy_version 29495 (0.0011) +[2026-06-04 12:24:22,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10246.9). Total num frames: 15106048. Throughput: 0: 10228.6. Samples: 15118848. Policy #0 lag: (min: 47.0, avg: 51.3, max: 111.0) +[2026-06-04 12:24:22,178][494436] Avg episode reward: [(0, '6031.100')] +[2026-06-04 12:24:23,789][495491] Updated weights for policy 0, policy_version 29560 (0.0011) +[2026-06-04 12:24:26,916][495491] Updated weights for policy 0, policy_version 29632 (0.0013) +[2026-06-04 12:24:27,177][494436] Fps is (10 sec: 11468.2, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 15171584. Throughput: 0: 10240.0. Samples: 15150080. Policy #0 lag: (min: 47.0, avg: 51.3, max: 111.0) +[2026-06-04 12:24:27,178][494436] Avg episode reward: [(0, '6110.000')] +[2026-06-04 12:24:32,176][494436] Fps is (10 sec: 9830.6, 60 sec: 10376.5, 300 sec: 10219.2). Total num frames: 15204352. Throughput: 0: 10319.6. Samples: 15212032. Policy #0 lag: (min: 47.0, avg: 51.3, max: 111.0) +[2026-06-04 12:24:32,177][494436] Avg episode reward: [(0, '6228.100')] +[2026-06-04 12:24:32,182][495402] Saving new best policy, reward=6228.100! +[2026-06-04 12:24:33,123][495491] Updated weights for policy 0, policy_version 29744 (0.0011) +[2026-06-04 12:24:36,140][495491] Updated weights for policy 0, policy_version 29793 (0.0011) +[2026-06-04 12:24:37,176][494436] Fps is (10 sec: 9830.7, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 15269888. Throughput: 0: 10308.2. Samples: 15275520. Policy #0 lag: (min: 47.0, avg: 51.3, max: 111.0) +[2026-06-04 12:24:37,177][494436] Avg episode reward: [(0, '6222.750')] +[2026-06-04 12:24:39,213][495402] Signal inference workers to stop experience collection... (1400 times) +[2026-06-04 12:24:39,248][495491] InferenceWorker_p0-w0: stopping experience collection (1400 times) +[2026-06-04 12:24:39,349][495402] Signal inference workers to resume experience collection... (1400 times) +[2026-06-04 12:24:39,349][495491] InferenceWorker_p0-w0: resuming experience collection (1400 times) +[2026-06-04 12:24:39,412][495491] Updated weights for policy 0, policy_version 29875 (0.0011) +[2026-06-04 12:24:42,176][494436] Fps is (10 sec: 9830.5, 60 sec: 9967.0, 300 sec: 10219.2). Total num frames: 15302656. Throughput: 0: 10319.8. Samples: 15305728. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) +[2026-06-04 12:24:42,177][494436] Avg episode reward: [(0, '6245.750')] +[2026-06-04 12:24:42,181][495402] Saving new best policy, reward=6245.750! +[2026-06-04 12:24:42,858][495491] Updated weights for policy 0, policy_version 29943 (0.0011) +[2026-06-04 12:24:45,802][495491] Updated weights for policy 0, policy_version 30006 (0.0011) +[2026-06-04 12:24:47,176][494436] Fps is (10 sec: 9830.6, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 15368192. Throughput: 0: 10399.3. Samples: 15369728. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) +[2026-06-04 12:24:47,177][494436] Avg episode reward: [(0, '6252.350')] +[2026-06-04 12:24:47,181][495402] Saving new best policy, reward=6252.350! +[2026-06-04 12:24:48,827][495491] Updated weights for policy 0, policy_version 30076 (0.0010) +[2026-06-04 12:24:52,176][494436] Fps is (10 sec: 13106.9, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 15433728. Throughput: 0: 10399.3. Samples: 15434240. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) +[2026-06-04 12:24:52,177][494436] Avg episode reward: [(0, '6134.600')] +[2026-06-04 12:24:54,631][495491] Updated weights for policy 0, policy_version 30160 (0.0011) +[2026-06-04 12:24:57,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10376.6, 300 sec: 10330.2). Total num frames: 15466496. Throughput: 0: 10467.6. Samples: 15467008. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) +[2026-06-04 12:24:57,177][494436] Avg episode reward: [(0, '6211.800')] +[2026-06-04 12:24:57,903][495491] Updated weights for policy 0, policy_version 30241 (0.0013) +[2026-06-04 12:25:01,033][495491] Updated weights for policy 0, policy_version 30321 (0.0011) +[2026-06-04 12:25:02,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 15532032. Throughput: 0: 10524.4. Samples: 15532032. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 12:25:02,178][494436] Avg episode reward: [(0, '6195.200')] +[2026-06-04 12:25:04,286][495491] Updated weights for policy 0, policy_version 30391 (0.0009) +[2026-06-04 12:25:07,176][494436] Fps is (10 sec: 11468.7, 60 sec: 10649.6, 300 sec: 10330.2). Total num frames: 15581184. Throughput: 0: 10547.2. Samples: 15593472. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 12:25:07,178][494436] Avg episode reward: [(0, '6077.150')] +[2026-06-04 12:25:07,526][495491] Updated weights for policy 0, policy_version 30464 (0.0009) +[2026-06-04 12:25:10,836][495491] Updated weights for policy 0, policy_version 30528 (0.0009) +[2026-06-04 12:25:12,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 15630336. Throughput: 0: 10501.8. Samples: 15622656. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 12:25:12,177][494436] Avg episode reward: [(0, '6043.750')] +[2026-06-04 12:25:16,552][495491] Updated weights for policy 0, policy_version 30624 (0.0012) +[2026-06-04 12:25:17,176][494436] Fps is (10 sec: 11469.0, 60 sec: 10649.6, 300 sec: 10330.3). Total num frames: 15695872. Throughput: 0: 10547.2. Samples: 15686656. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 12:25:17,177][494436] Avg episode reward: [(0, '6098.350')] +[2026-06-04 12:25:19,869][495491] Updated weights for policy 0, policy_version 30704 (0.0012) +[2026-06-04 12:25:22,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.6, 300 sec: 10330.3). Total num frames: 15728640. Throughput: 0: 10547.3. Samples: 15750144. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 12:25:22,177][494436] Avg episode reward: [(0, '6152.450')] +[2026-06-04 12:25:22,995][495491] Updated weights for policy 0, policy_version 30773 (0.0013) +[2026-06-04 12:25:26,127][495491] Updated weights for policy 0, policy_version 30841 (0.0011) +[2026-06-04 12:25:27,176][494436] Fps is (10 sec: 9830.2, 60 sec: 10376.6, 300 sec: 10330.2). Total num frames: 15794176. Throughput: 0: 10569.9. Samples: 15781376. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 12:25:27,179][494436] Avg episode reward: [(0, '6117.350')] +[2026-06-04 12:25:29,272][495491] Updated weights for policy 0, policy_version 30911 (0.0012) +[2026-06-04 12:25:31,889][495402] Signal inference workers to stop experience collection... (1450 times) +[2026-06-04 12:25:31,920][495491] InferenceWorker_p0-w0: stopping experience collection (1450 times) +[2026-06-04 12:25:32,039][495402] Signal inference workers to resume experience collection... (1450 times) +[2026-06-04 12:25:32,040][495491] InferenceWorker_p0-w0: resuming experience collection (1450 times) +[2026-06-04 12:25:32,176][494436] Fps is (10 sec: 11468.6, 60 sec: 10649.6, 300 sec: 10330.2). Total num frames: 15843328. Throughput: 0: 10558.5. Samples: 15844864. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 12:25:32,177][494436] Avg episode reward: [(0, '6122.400')] +[2026-06-04 12:25:34,907][495491] Updated weights for policy 0, policy_version 30977 (0.0012) +[2026-06-04 12:25:37,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 15892480. Throughput: 0: 10524.4. Samples: 15907840. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 12:25:37,177][494436] Avg episode reward: [(0, '6169.050')] +[2026-06-04 12:25:38,346][495491] Updated weights for policy 0, policy_version 31072 (0.0012) +[2026-06-04 12:25:41,736][495491] Updated weights for policy 0, policy_version 31154 (0.0012) +[2026-06-04 12:25:42,176][494436] Fps is (10 sec: 11468.8, 60 sec: 10922.6, 300 sec: 10330.2). Total num frames: 15958016. Throughput: 0: 10467.5. Samples: 15938048. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 12:25:42,177][494436] Avg episode reward: [(0, '6203.150')] +[2026-06-04 12:25:45,056][495491] Updated weights for policy 0, policy_version 31228 (0.0011) +[2026-06-04 12:25:47,176][494436] Fps is (10 sec: 9830.6, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 15990784. Throughput: 0: 10410.7. Samples: 16000512. Policy #0 lag: (min: 13.0, avg: 17.8, max: 77.0) +[2026-06-04 12:25:47,177][494436] Avg episode reward: [(0, '6452.400')] +[2026-06-04 12:25:47,184][495402] Saving new best policy, reward=6452.400! +[2026-06-04 12:25:48,257][495491] Updated weights for policy 0, policy_version 31296 (0.0013) +[2026-06-04 12:25:52,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 16056320. Throughput: 0: 10444.8. Samples: 16063488. Policy #0 lag: (min: 13.0, avg: 17.8, max: 77.0) +[2026-06-04 12:25:52,177][494436] Avg episode reward: [(0, '6481.250')] +[2026-06-04 12:25:52,182][495402] Saving new best policy, reward=6481.250! +[2026-06-04 12:25:53,828][495491] Updated weights for policy 0, policy_version 31376 (0.0010) +[2026-06-04 12:25:57,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10376.6, 300 sec: 10219.2). Total num frames: 16089088. Throughput: 0: 10501.7. Samples: 16095232. Policy #0 lag: (min: 13.0, avg: 17.8, max: 77.0) +[2026-06-04 12:25:57,177][494436] Avg episode reward: [(0, '6477.250')] +[2026-06-04 12:25:57,515][495491] Updated weights for policy 0, policy_version 31475 (0.0011) +[2026-06-04 12:26:00,806][495491] Updated weights for policy 0, policy_version 31543 (0.0012) +[2026-06-04 12:26:02,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 16154624. Throughput: 0: 10433.4. Samples: 16156160. Policy #0 lag: (min: 13.0, avg: 17.8, max: 77.0) +[2026-06-04 12:26:02,177][494436] Avg episode reward: [(0, '6414.350')] +[2026-06-04 12:26:03,809][495491] Updated weights for policy 0, policy_version 31609 (0.0010) +[2026-06-04 12:26:07,019][495491] Updated weights for policy 0, policy_version 31670 (0.0010) +[2026-06-04 12:26:07,177][494436] Fps is (10 sec: 13106.6, 60 sec: 10649.6, 300 sec: 10330.2). Total num frames: 16220160. Throughput: 0: 10456.1. Samples: 16220672. Policy #0 lag: (min: 11.0, avg: 15.6, max: 75.0) +[2026-06-04 12:26:07,178][494436] Avg episode reward: [(0, '6393.650')] +[2026-06-04 12:26:10,312][495491] Updated weights for policy 0, policy_version 31737 (0.0009) +[2026-06-04 12:26:12,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 16252928. Throughput: 0: 10456.2. Samples: 16251904. Policy #0 lag: (min: 11.0, avg: 15.6, max: 75.0) +[2026-06-04 12:26:12,177][494436] Avg episode reward: [(0, '6469.950')] +[2026-06-04 12:26:13,245][495491] Updated weights for policy 0, policy_version 31800 (0.0012) +[2026-06-04 12:26:16,210][495491] Updated weights for policy 0, policy_version 31864 (0.0010) +[2026-06-04 12:26:17,176][494436] Fps is (10 sec: 9830.8, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 16318464. Throughput: 0: 10490.3. Samples: 16316928. Policy #0 lag: (min: 11.0, avg: 15.6, max: 75.0) +[2026-06-04 12:26:17,177][494436] Avg episode reward: [(0, '6518.200')] +[2026-06-04 12:26:17,181][495402] Saving new best policy, reward=6518.200! +[2026-06-04 12:26:19,346][495491] Updated weights for policy 0, policy_version 31933 (0.0011) +[2026-06-04 12:26:22,176][494436] Fps is (10 sec: 10649.4, 60 sec: 10513.0, 300 sec: 10246.9). Total num frames: 16359424. Throughput: 0: 10478.9. Samples: 16379392. Policy #0 lag: (min: 11.0, avg: 15.6, max: 75.0) +[2026-06-04 12:26:22,177][494436] Avg episode reward: [(0, '6473.000')] +[2026-06-04 12:26:22,678][495491] Updated weights for policy 0, policy_version 32000 (0.0011) +[2026-06-04 12:26:24,922][495402] Signal inference workers to stop experience collection... (1500 times) +[2026-06-04 12:26:24,949][495491] InferenceWorker_p0-w0: stopping experience collection (1500 times) +[2026-06-04 12:26:25,057][495402] Signal inference workers to resume experience collection... (1500 times) +[2026-06-04 12:26:25,058][495491] InferenceWorker_p0-w0: resuming experience collection (1500 times) +[2026-06-04 12:26:27,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.6, 300 sec: 10330.2). Total num frames: 16416768. Throughput: 0: 10513.1. Samples: 16411136. Policy #0 lag: (min: 11.0, avg: 15.6, max: 75.0) +[2026-06-04 12:26:27,177][494436] Avg episode reward: [(0, '6300.650')] +[2026-06-04 12:26:28,435][495491] Updated weights for policy 0, policy_version 32096 (0.0011) +[2026-06-04 12:26:31,733][495491] Updated weights for policy 0, policy_version 32176 (0.0010) +[2026-06-04 12:26:32,176][494436] Fps is (10 sec: 12288.1, 60 sec: 10649.6, 300 sec: 10330.3). Total num frames: 16482304. Throughput: 0: 10513.0. Samples: 16473600. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:26:32,177][494436] Avg episode reward: [(0, '6283.150')] +[2026-06-04 12:26:35,130][495491] Updated weights for policy 0, policy_version 32240 (0.0013) +[2026-06-04 12:26:37,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10330.3). Total num frames: 16515072. Throughput: 0: 10422.1. Samples: 16532480. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:26:37,177][494436] Avg episode reward: [(0, '6391.400')] +[2026-06-04 12:26:38,479][495491] Updated weights for policy 0, policy_version 32312 (0.0011) +[2026-06-04 12:26:41,661][495491] Updated weights for policy 0, policy_version 32384 (0.0010) +[2026-06-04 12:26:42,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 16580608. Throughput: 0: 10376.5. Samples: 16562176. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:26:42,177][494436] Avg episode reward: [(0, '6480.800')] +[2026-06-04 12:26:47,163][495491] Updated weights for policy 0, policy_version 32464 (0.0012) +[2026-06-04 12:26:47,176][494436] Fps is (10 sec: 10649.5, 60 sec: 10513.0, 300 sec: 10358.0). Total num frames: 16621568. Throughput: 0: 10490.3. Samples: 16628224. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 12:26:47,177][494436] Avg episode reward: [(0, '6585.300')] +[2026-06-04 12:26:47,470][495402] Saving new best policy, reward=6585.300! +[2026-06-04 12:26:50,610][495491] Updated weights for policy 0, policy_version 32560 (0.0011) +[2026-06-04 12:26:52,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 16678912. Throughput: 0: 10444.9. Samples: 16690688. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 12:26:52,177][494436] Avg episode reward: [(0, '6730.100')] +[2026-06-04 12:26:52,180][495402] Saving new best policy, reward=6730.100! +[2026-06-04 12:26:53,895][495491] Updated weights for policy 0, policy_version 32635 (0.0009) +[2026-06-04 12:26:57,089][495491] Updated weights for policy 0, policy_version 32703 (0.0011) +[2026-06-04 12:26:57,176][494436] Fps is (10 sec: 12288.1, 60 sec: 10922.7, 300 sec: 10358.0). Total num frames: 16744448. Throughput: 0: 10444.8. Samples: 16721920. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 12:26:57,177][494436] Avg episode reward: [(0, '6756.150')] +[2026-06-04 12:26:57,182][495402] Saving new best policy, reward=6756.150! +[2026-06-04 12:27:00,325][495491] Updated weights for policy 0, policy_version 32764 (0.0011) +[2026-06-04 12:27:02,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 16777216. Throughput: 0: 10376.6. Samples: 16783872. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 12:27:02,177][494436] Avg episode reward: [(0, '6767.250')] +[2026-06-04 12:27:02,181][495402] Saving new best policy, reward=6767.250! +[2026-06-04 12:27:03,363][495491] Updated weights for policy 0, policy_version 32828 (0.0012) +[2026-06-04 12:27:07,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10376.6, 300 sec: 10358.0). Total num frames: 16842752. Throughput: 0: 10365.2. Samples: 16845824. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 12:27:07,177][494436] Avg episode reward: [(0, '6942.750')] +[2026-06-04 12:27:07,181][495402] Saving new best policy, reward=6942.750! +[2026-06-04 12:27:09,175][495491] Updated weights for policy 0, policy_version 32912 (0.0011) +[2026-06-04 12:27:12,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 16875520. Throughput: 0: 10387.9. Samples: 16878592. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 12:27:12,177][494436] Avg episode reward: [(0, '7060.300')] +[2026-06-04 12:27:12,183][495402] Saving new best policy, reward=7060.300! +[2026-06-04 12:27:12,353][495491] Updated weights for policy 0, policy_version 32976 (0.0012) +[2026-06-04 12:27:15,547][495491] Updated weights for policy 0, policy_version 33041 (0.0010) +[2026-06-04 12:27:15,629][495402] Signal inference workers to stop experience collection... (1550 times) +[2026-06-04 12:27:15,659][495491] InferenceWorker_p0-w0: stopping experience collection (1550 times) +[2026-06-04 12:27:15,776][495402] Signal inference workers to resume experience collection... (1550 times) +[2026-06-04 12:27:15,777][495491] InferenceWorker_p0-w0: resuming experience collection (1550 times) +[2026-06-04 12:27:17,176][494436] Fps is (10 sec: 9830.6, 60 sec: 10376.6, 300 sec: 10330.3). Total num frames: 16941056. Throughput: 0: 10410.7. Samples: 16942080. Policy #0 lag: (min: 13.0, avg: 18.1, max: 77.0) +[2026-06-04 12:27:17,177][494436] Avg episode reward: [(0, '6981.200')] +[2026-06-04 12:27:18,907][495491] Updated weights for policy 0, policy_version 33136 (0.0011) +[2026-06-04 12:27:21,851][495491] Updated weights for policy 0, policy_version 33201 (0.0010) +[2026-06-04 12:27:22,176][494436] Fps is (10 sec: 13107.3, 60 sec: 10786.2, 300 sec: 10441.3). Total num frames: 17006592. Throughput: 0: 10547.2. Samples: 17007104. Policy #0 lag: (min: 13.0, avg: 18.1, max: 77.0) +[2026-06-04 12:27:22,177][494436] Avg episode reward: [(0, '7247.650')] +[2026-06-04 12:27:22,181][495402] Saving new best policy, reward=7247.650! +[2026-06-04 12:27:25,110][495491] Updated weights for policy 0, policy_version 33265 (0.0011) +[2026-06-04 12:27:27,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10330.2). Total num frames: 17039360. Throughput: 0: 10581.3. Samples: 17038336. Policy #0 lag: (min: 13.0, avg: 18.1, max: 77.0) +[2026-06-04 12:27:27,177][494436] Avg episode reward: [(0, '7062.000')] +[2026-06-04 12:27:28,149][495491] Updated weights for policy 0, policy_version 33331 (0.0009) +[2026-06-04 12:27:31,461][495491] Updated weights for policy 0, policy_version 33401 (0.0009) +[2026-06-04 12:27:32,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.6, 300 sec: 10441.3). Total num frames: 17104896. Throughput: 0: 10524.5. Samples: 17101824. Policy #0 lag: (min: 13.0, avg: 18.1, max: 77.0) +[2026-06-04 12:27:32,177][494436] Avg episode reward: [(0, '7046.250')] +[2026-06-04 12:27:34,722][495491] Updated weights for policy 0, policy_version 33469 (0.0012) +[2026-06-04 12:27:37,176][494436] Fps is (10 sec: 9830.6, 60 sec: 10376.6, 300 sec: 10330.3). Total num frames: 17137664. Throughput: 0: 10467.6. Samples: 17161728. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 12:27:37,177][494436] Avg episode reward: [(0, '7053.650')] +[2026-06-04 12:27:37,957][495491] Updated weights for policy 0, policy_version 33531 (0.0009) +[2026-06-04 12:27:42,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10385.8). Total num frames: 17203200. Throughput: 0: 10467.6. Samples: 17192960. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 12:27:42,177][494436] Avg episode reward: [(0, '6953.350')] +[2026-06-04 12:27:42,181][495402] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride4_seed13/checkpoint_p0/checkpoint_000033600_17203200.pth... +[2026-06-04 12:27:43,878][495491] Updated weights for policy 0, policy_version 33632 (0.0010) +[2026-06-04 12:27:46,769][495491] Updated weights for policy 0, policy_version 33681 (0.0011) +[2026-06-04 12:27:47,176][494436] Fps is (10 sec: 12287.8, 60 sec: 10649.6, 300 sec: 10413.6). Total num frames: 17260544. Throughput: 0: 10501.7. Samples: 17256448. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 12:27:47,177][494436] Avg episode reward: [(0, '6958.750')] +[2026-06-04 12:27:49,914][495491] Updated weights for policy 0, policy_version 33761 (0.0011) +[2026-06-04 12:27:52,176][494436] Fps is (10 sec: 9830.1, 60 sec: 10376.5, 300 sec: 10358.0). Total num frames: 17301504. Throughput: 0: 10569.9. Samples: 17321472. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 12:27:52,178][494436] Avg episode reward: [(0, '6893.600')] +[2026-06-04 12:27:53,017][495491] Updated weights for policy 0, policy_version 33840 (0.0010) +[2026-06-04 12:27:56,455][495491] Updated weights for policy 0, policy_version 33912 (0.0012) +[2026-06-04 12:27:57,176][494436] Fps is (10 sec: 10649.7, 60 sec: 10376.6, 300 sec: 10441.3). Total num frames: 17367040. Throughput: 0: 10501.7. Samples: 17351168. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:27:57,178][494436] Avg episode reward: [(0, '6869.650')] +[2026-06-04 12:27:59,638][495491] Updated weights for policy 0, policy_version 33984 (0.0013) +[2026-06-04 12:28:02,176][494436] Fps is (10 sec: 9830.6, 60 sec: 10376.5, 300 sec: 10330.3). Total num frames: 17399808. Throughput: 0: 10524.4. Samples: 17415680. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:28:02,177][494436] Avg episode reward: [(0, '6760.250')] +[2026-06-04 12:28:02,802][495491] Updated weights for policy 0, policy_version 34048 (0.0012) +[2026-06-04 12:28:07,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.6, 300 sec: 10441.3). Total num frames: 17465344. Throughput: 0: 10456.2. Samples: 17477632. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:28:07,177][494436] Avg episode reward: [(0, '6813.250')] +[2026-06-04 12:28:08,342][495402] Signal inference workers to stop experience collection... (1600 times) +[2026-06-04 12:28:08,371][495491] InferenceWorker_p0-w0: stopping experience collection (1600 times) +[2026-06-04 12:28:08,472][495402] Signal inference workers to resume experience collection... (1600 times) +[2026-06-04 12:28:08,473][495491] InferenceWorker_p0-w0: resuming experience collection (1600 times) +[2026-06-04 12:28:08,476][495491] Updated weights for policy 0, policy_version 34144 (0.0010) +[2026-06-04 12:28:11,777][495491] Updated weights for policy 0, policy_version 34225 (0.0011) +[2026-06-04 12:28:12,176][494436] Fps is (10 sec: 13107.2, 60 sec: 10922.7, 300 sec: 10441.3). Total num frames: 17530880. Throughput: 0: 10490.3. Samples: 17510400. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:28:12,177][494436] Avg episode reward: [(0, '6890.500')] +[2026-06-04 12:28:14,963][495491] Updated weights for policy 0, policy_version 34297 (0.0012) +[2026-06-04 12:28:17,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 17563648. Throughput: 0: 10501.7. Samples: 17574400. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 12:28:17,177][494436] Avg episode reward: [(0, '6863.200')] +[2026-06-04 12:28:17,819][495491] Updated weights for policy 0, policy_version 34361 (0.0011) +[2026-06-04 12:28:20,927][495491] Updated weights for policy 0, policy_version 34430 (0.0010) +[2026-06-04 12:28:22,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 17629184. Throughput: 0: 10626.8. Samples: 17639936. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 12:28:22,177][494436] Avg episode reward: [(0, '6927.100')] +[2026-06-04 12:28:26,513][495491] Updated weights for policy 0, policy_version 34512 (0.0012) +[2026-06-04 12:28:27,176][494436] Fps is (10 sec: 13107.2, 60 sec: 10922.7, 300 sec: 10552.4). Total num frames: 17694720. Throughput: 0: 10649.6. Samples: 17672192. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 12:28:27,177][494436] Avg episode reward: [(0, '6984.900')] +[2026-06-04 12:28:29,850][495491] Updated weights for policy 0, policy_version 34608 (0.0013) +[2026-06-04 12:28:32,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 17727488. Throughput: 0: 10649.6. Samples: 17735680. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 12:28:32,177][494436] Avg episode reward: [(0, '7025.400')] +[2026-06-04 12:28:33,122][495491] Updated weights for policy 0, policy_version 34657 (0.0012) +[2026-06-04 12:28:36,219][495491] Updated weights for policy 0, policy_version 34740 (0.0010) +[2026-06-04 12:28:37,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10469.1). Total num frames: 17793024. Throughput: 0: 10604.2. Samples: 17798656. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 12:28:37,177][494436] Avg episode reward: [(0, '7046.150')] +[2026-06-04 12:28:39,292][495491] Updated weights for policy 0, policy_version 34803 (0.0012) +[2026-06-04 12:28:42,176][494436] Fps is (10 sec: 11468.8, 60 sec: 10649.6, 300 sec: 10496.9). Total num frames: 17842176. Throughput: 0: 10661.0. Samples: 17830912. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 12:28:42,177][494436] Avg episode reward: [(0, '7122.250')] +[2026-06-04 12:28:42,456][495491] Updated weights for policy 0, policy_version 34877 (0.0012) +[2026-06-04 12:28:47,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10513.1, 300 sec: 10441.3). Total num frames: 17891328. Throughput: 0: 10592.7. Samples: 17892352. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0) +[2026-06-04 12:28:47,177][494436] Avg episode reward: [(0, '7122.100')] +[2026-06-04 12:28:48,415][495491] Updated weights for policy 0, policy_version 34960 (0.0012) +[2026-06-04 12:28:51,929][495491] Updated weights for policy 0, policy_version 35061 (0.0013) +[2026-06-04 12:28:52,176][494436] Fps is (10 sec: 11468.7, 60 sec: 10922.7, 300 sec: 10552.4). Total num frames: 17956864. Throughput: 0: 10672.3. Samples: 17957888. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0) +[2026-06-04 12:28:52,177][494436] Avg episode reward: [(0, '7312.250')] +[2026-06-04 12:28:52,181][495402] Saving new best policy, reward=7312.250! +[2026-06-04 12:28:55,046][495491] Updated weights for policy 0, policy_version 35127 (0.0011) +[2026-06-04 12:28:57,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 17989632. Throughput: 0: 10661.0. Samples: 17990144. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0) +[2026-06-04 12:28:57,177][494436] Avg episode reward: [(0, '7214.200')] +[2026-06-04 12:28:58,303][495491] Updated weights for policy 0, policy_version 35197 (0.0013) +[2026-06-04 12:29:00,789][495402] Signal inference workers to stop experience collection... (1650 times) +[2026-06-04 12:29:00,817][495491] InferenceWorker_p0-w0: stopping experience collection (1650 times) +[2026-06-04 12:29:00,955][495402] Signal inference workers to resume experience collection... (1650 times) +[2026-06-04 12:29:00,956][495491] InferenceWorker_p0-w0: resuming experience collection (1650 times) +[2026-06-04 12:29:02,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10922.7, 300 sec: 10552.4). Total num frames: 18055168. Throughput: 0: 10615.4. Samples: 18052096. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0) +[2026-06-04 12:29:02,177][494436] Avg episode reward: [(0, '7296.400')] +[2026-06-04 12:29:03,865][495491] Updated weights for policy 0, policy_version 35265 (0.0011) +[2026-06-04 12:29:07,031][495491] Updated weights for policy 0, policy_version 35344 (0.0012) +[2026-06-04 12:29:07,176][494436] Fps is (10 sec: 10649.6, 60 sec: 10513.1, 300 sec: 10469.1). Total num frames: 18096128. Throughput: 0: 10592.7. Samples: 18116608. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0) +[2026-06-04 12:29:07,177][494436] Avg episode reward: [(0, '7348.200')] +[2026-06-04 12:29:07,340][495402] Saving new best policy, reward=7348.200! +[2026-06-04 12:29:10,268][495491] Updated weights for policy 0, policy_version 35424 (0.0015) +[2026-06-04 12:29:12,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10496.9). Total num frames: 18153472. Throughput: 0: 10570.0. Samples: 18147840. Policy #0 lag: (min: 12.0, avg: 17.1, max: 76.0) +[2026-06-04 12:29:12,177][494436] Avg episode reward: [(0, '7334.050')] +[2026-06-04 12:29:13,364][495491] Updated weights for policy 0, policy_version 35504 (0.0011) +[2026-06-04 12:29:16,617][495491] Updated weights for policy 0, policy_version 35574 (0.0013) +[2026-06-04 12:29:17,176][494436] Fps is (10 sec: 12287.8, 60 sec: 10922.6, 300 sec: 10552.4). Total num frames: 18219008. Throughput: 0: 10592.7. Samples: 18212352. Policy #0 lag: (min: 12.0, avg: 17.1, max: 76.0) +[2026-06-04 12:29:17,177][494436] Avg episode reward: [(0, '7325.250')] +[2026-06-04 12:29:19,576][495491] Updated weights for policy 0, policy_version 35642 (0.0010) +[2026-06-04 12:29:22,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 18251776. Throughput: 0: 10672.3. Samples: 18278912. Policy #0 lag: (min: 12.0, avg: 17.1, max: 76.0) +[2026-06-04 12:29:22,177][494436] Avg episode reward: [(0, '7295.450')] +[2026-06-04 12:29:22,811][495491] Updated weights for policy 0, policy_version 35712 (0.0010) +[2026-06-04 12:29:27,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10552.4). Total num frames: 18317312. Throughput: 0: 10638.2. Samples: 18309632. Policy #0 lag: (min: 12.0, avg: 17.1, max: 76.0) +[2026-06-04 12:29:27,177][494436] Avg episode reward: [(0, '7392.800')] +[2026-06-04 12:29:27,181][495402] Saving new best policy, reward=7392.800! +[2026-06-04 12:29:28,463][495491] Updated weights for policy 0, policy_version 35777 (0.0011) +[2026-06-04 12:29:31,829][495491] Updated weights for policy 0, policy_version 35856 (0.0013) +[2026-06-04 12:29:32,176][494436] Fps is (10 sec: 12288.1, 60 sec: 10786.1, 300 sec: 10524.6). Total num frames: 18374656. Throughput: 0: 10626.9. Samples: 18370560. Policy #0 lag: (min: 12.0, avg: 17.1, max: 76.0) +[2026-06-04 12:29:32,177][494436] Avg episode reward: [(0, '7509.100')] +[2026-06-04 12:29:32,356][495402] Saving new best policy, reward=7509.100! +[2026-06-04 12:29:34,954][495491] Updated weights for policy 0, policy_version 35920 (0.0011) +[2026-06-04 12:29:37,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10552.4). Total num frames: 18415616. Throughput: 0: 10547.2. Samples: 18432512. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) +[2026-06-04 12:29:37,177][494436] Avg episode reward: [(0, '7437.850')] +[2026-06-04 12:29:38,077][495491] Updated weights for policy 0, policy_version 35985 (0.0010) +[2026-06-04 12:29:41,488][495491] Updated weights for policy 0, policy_version 36083 (0.0010) +[2026-06-04 12:29:42,176][494436] Fps is (10 sec: 10649.4, 60 sec: 10649.6, 300 sec: 10552.4). Total num frames: 18481152. Throughput: 0: 10513.0. Samples: 18463232. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) +[2026-06-04 12:29:42,177][494436] Avg episode reward: [(0, '7462.100')] +[2026-06-04 12:29:44,554][495491] Updated weights for policy 0, policy_version 36155 (0.0010) +[2026-06-04 12:29:47,176][494436] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10441.3). Total num frames: 18513920. Throughput: 0: 10592.7. Samples: 18528768. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) +[2026-06-04 12:29:47,178][494436] Avg episode reward: [(0, '7373.400')] +[2026-06-04 12:29:47,775][495491] Updated weights for policy 0, policy_version 36224 (0.0011) +[2026-06-04 12:29:50,335][495402] Signal inference workers to stop experience collection... (1700 times) +[2026-06-04 12:29:50,365][495491] InferenceWorker_p0-w0: stopping experience collection (1700 times) +[2026-06-04 12:29:50,459][495402] Signal inference workers to resume experience collection... (1700 times) +[2026-06-04 12:29:50,460][495491] InferenceWorker_p0-w0: resuming experience collection (1700 times) +[2026-06-04 12:29:52,177][494436] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10552.4). Total num frames: 18579456. Throughput: 0: 10615.4. Samples: 18594304. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) +[2026-06-04 12:29:52,182][494436] Avg episode reward: [(0, '7438.600')] +[2026-06-04 12:29:53,221][495491] Updated weights for policy 0, policy_version 36304 (0.0010) +[2026-06-04 12:29:56,224][495491] Updated weights for policy 0, policy_version 36368 (0.0010) +[2026-06-04 12:29:57,176][494436] Fps is (10 sec: 13107.5, 60 sec: 10922.6, 300 sec: 10552.4). Total num frames: 18644992. Throughput: 0: 10626.8. Samples: 18626048. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) +[2026-06-04 12:29:57,177][494436] Avg episode reward: [(0, '7563.200')] +[2026-06-04 12:29:57,180][495402] Saving new best policy, reward=7563.200! +[2026-06-04 12:29:59,152][495491] Updated weights for policy 0, policy_version 36432 (0.0009) +[2026-06-04 12:30:02,161][495491] Updated weights for policy 0, policy_version 36482 (0.0013) +[2026-06-04 12:30:02,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10496.9). Total num frames: 18677760. Throughput: 0: 10649.6. Samples: 18691584. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 12:30:02,177][494436] Avg episode reward: [(0, '7514.150')] +[2026-06-04 12:30:05,488][495491] Updated weights for policy 0, policy_version 36576 (0.0011) +[2026-06-04 12:30:07,176][494436] Fps is (10 sec: 9830.2, 60 sec: 10786.1, 300 sec: 10552.4). Total num frames: 18743296. Throughput: 0: 10569.9. Samples: 18754560. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 12:30:07,177][494436] Avg episode reward: [(0, '7583.350')] +[2026-06-04 12:30:07,186][495402] Saving new best policy, reward=7583.350! +[2026-06-04 12:30:09,062][495491] Updated weights for policy 0, policy_version 36656 (0.0011) +[2026-06-04 12:30:12,102][495491] Updated weights for policy 0, policy_version 36720 (0.0011) +[2026-06-04 12:30:12,176][494436] Fps is (10 sec: 12287.9, 60 sec: 10786.1, 300 sec: 10524.6). Total num frames: 18800640. Throughput: 0: 10535.8. Samples: 18783744. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 12:30:12,179][494436] Avg episode reward: [(0, '7566.100')] +[2026-06-04 12:30:15,262][495491] Updated weights for policy 0, policy_version 36789 (0.0012) +[2026-06-04 12:30:17,176][494436] Fps is (10 sec: 9830.7, 60 sec: 10376.6, 300 sec: 10552.4). Total num frames: 18841600. Throughput: 0: 10592.7. Samples: 18847232. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 12:30:17,177][494436] Avg episode reward: [(0, '7553.900')] +[2026-06-04 12:30:18,491][495491] Updated weights for policy 0, policy_version 36861 (0.0011) +[2026-06-04 12:30:21,761][495491] Updated weights for policy 0, policy_version 36926 (0.0010) +[2026-06-04 12:30:22,176][494436] Fps is (10 sec: 10649.7, 60 sec: 10922.6, 300 sec: 10552.4). Total num frames: 18907136. Throughput: 0: 10604.1. Samples: 18909696. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-04 12:30:22,177][494436] Avg episode reward: [(0, '7609.600')] +[2026-06-04 12:30:22,181][495402] Saving new best policy, reward=7609.600! +[2026-06-04 12:30:27,081][495491] Updated weights for policy 0, policy_version 37008 (0.0009) +[2026-06-04 12:30:27,176][494436] Fps is (10 sec: 10649.4, 60 sec: 10513.1, 300 sec: 10524.6). Total num frames: 18948096. Throughput: 0: 10661.0. Samples: 18942976. Policy #0 lag: (min: 3.0, avg: 7.7, max: 67.0) +[2026-06-04 12:30:27,177][494436] Avg episode reward: [(0, '7811.200')] +[2026-06-04 12:30:27,413][495402] Saving new best policy, reward=7811.200! +[2026-06-04 12:30:30,112][495491] Updated weights for policy 0, policy_version 37073 (0.0011) +[2026-06-04 12:30:32,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10513.1, 300 sec: 10552.4). Total num frames: 19005440. Throughput: 0: 10695.2. Samples: 19010048. Policy #0 lag: (min: 3.0, avg: 7.7, max: 67.0) +[2026-06-04 12:30:32,177][494436] Avg episode reward: [(0, '7903.950')] +[2026-06-04 12:30:32,181][495402] Saving new best policy, reward=7903.950! +[2026-06-04 12:30:33,146][495491] Updated weights for policy 0, policy_version 37137 (0.0011) +[2026-06-04 12:30:36,438][495491] Updated weights for policy 0, policy_version 37232 (0.0012) +[2026-06-04 12:30:37,176][494436] Fps is (10 sec: 12288.2, 60 sec: 10922.7, 300 sec: 10552.4). Total num frames: 19070976. Throughput: 0: 10661.1. Samples: 19074048. Policy #0 lag: (min: 3.0, avg: 7.7, max: 67.0) +[2026-06-04 12:30:37,177][494436] Avg episode reward: [(0, '7773.200')] +[2026-06-04 12:30:39,666][495491] Updated weights for policy 0, policy_version 37300 (0.0012) +[2026-06-04 12:30:42,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10552.4). Total num frames: 19103744. Throughput: 0: 10672.4. Samples: 19106304. Policy #0 lag: (min: 3.0, avg: 7.7, max: 67.0) +[2026-06-04 12:30:42,177][494436] Avg episode reward: [(0, '8018.550')] +[2026-06-04 12:30:42,294][495402] Signal inference workers to stop experience collection... (1750 times) +[2026-06-04 12:30:42,324][495491] InferenceWorker_p0-w0: stopping experience collection (1750 times) +[2026-06-04 12:30:42,446][495402] Signal inference workers to resume experience collection... (1750 times) +[2026-06-04 12:30:42,446][495402] Saving new best policy, reward=8018.550! +[2026-06-04 12:30:42,447][495491] InferenceWorker_p0-w0: resuming experience collection (1750 times) +[2026-06-04 12:30:42,767][495491] Updated weights for policy 0, policy_version 37369 (0.0011) +[2026-06-04 12:30:45,989][495491] Updated weights for policy 0, policy_version 37439 (0.0010) +[2026-06-04 12:30:47,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10922.7, 300 sec: 10552.4). Total num frames: 19169280. Throughput: 0: 10638.2. Samples: 19170304. Policy #0 lag: (min: 3.0, avg: 7.7, max: 67.0) +[2026-06-04 12:30:47,177][494436] Avg episode reward: [(0, '8008.750')] +[2026-06-04 12:30:51,409][495491] Updated weights for policy 0, policy_version 37520 (0.0012) +[2026-06-04 12:30:52,180][494436] Fps is (10 sec: 13102.6, 60 sec: 10922.1, 300 sec: 10663.4). Total num frames: 19234816. Throughput: 0: 10705.7. Samples: 19236352. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 12:30:52,183][494436] Avg episode reward: [(0, '7951.650')] +[2026-06-04 12:30:54,384][495491] Updated weights for policy 0, policy_version 37584 (0.0012) +[2026-06-04 12:30:57,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10552.4). Total num frames: 19267584. Throughput: 0: 10774.8. Samples: 19268608. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 12:30:57,177][494436] Avg episode reward: [(0, '8034.100')] +[2026-06-04 12:30:57,180][495402] Saving new best policy, reward=8034.100! +[2026-06-04 12:30:57,408][495491] Updated weights for policy 0, policy_version 37648 (0.0009) +[2026-06-04 12:31:00,497][495491] Updated weights for policy 0, policy_version 37713 (0.0011) +[2026-06-04 12:31:02,176][494436] Fps is (10 sec: 9833.7, 60 sec: 10922.7, 300 sec: 10552.4). Total num frames: 19333120. Throughput: 0: 10831.6. Samples: 19334656. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 12:31:02,177][494436] Avg episode reward: [(0, '8076.800')] +[2026-06-04 12:31:02,182][495402] Saving new best policy, reward=8076.800! +[2026-06-04 12:31:03,846][495491] Updated weights for policy 0, policy_version 37808 (0.0012) +[2026-06-04 12:31:06,814][495491] Updated weights for policy 0, policy_version 37873 (0.0011) +[2026-06-04 12:31:07,176][494436] Fps is (10 sec: 13107.1, 60 sec: 10922.7, 300 sec: 10663.5). Total num frames: 19398656. Throughput: 0: 10877.2. Samples: 19399168. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 12:31:07,177][494436] Avg episode reward: [(0, '8062.450')] +[2026-06-04 12:31:09,742][495491] Updated weights for policy 0, policy_version 37936 (0.0009) +[2026-06-04 12:31:12,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10513.1, 300 sec: 10552.4). Total num frames: 19431424. Throughput: 0: 10877.2. Samples: 19432448. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-04 12:31:12,177][494436] Avg episode reward: [(0, '8089.550')] +[2026-06-04 12:31:12,180][495402] Saving new best policy, reward=8089.550! +[2026-06-04 12:31:12,787][495491] Updated weights for policy 0, policy_version 38002 (0.0011) +[2026-06-04 12:31:15,865][495491] Updated weights for policy 0, policy_version 38067 (0.0012) +[2026-06-04 12:31:17,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10635.7). Total num frames: 19496960. Throughput: 0: 10843.0. Samples: 19497984. Policy #0 lag: (min: 30.0, avg: 34.8, max: 94.0) +[2026-06-04 12:31:17,177][494436] Avg episode reward: [(0, '8066.250')] +[2026-06-04 12:31:19,211][495491] Updated weights for policy 0, policy_version 38140 (0.0011) +[2026-06-04 12:31:22,176][494436] Fps is (10 sec: 12288.1, 60 sec: 10786.2, 300 sec: 10635.7). Total num frames: 19554304. Throughput: 0: 10808.9. Samples: 19560448. Policy #0 lag: (min: 30.0, avg: 34.8, max: 94.0) +[2026-06-04 12:31:22,177][494436] Avg episode reward: [(0, '8124.800')] +[2026-06-04 12:31:22,355][495491] Updated weights for policy 0, policy_version 38207 (0.0011) +[2026-06-04 12:31:22,356][495402] Saving new best policy, reward=8124.800! +[2026-06-04 12:31:25,578][495491] Updated weights for policy 0, policy_version 38271 (0.0010) +[2026-06-04 12:31:27,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10786.1, 300 sec: 10552.4). Total num frames: 19595264. Throughput: 0: 10774.8. Samples: 19591168. Policy #0 lag: (min: 30.0, avg: 34.8, max: 94.0) +[2026-06-04 12:31:27,177][494436] Avg episode reward: [(0, '8201.600')] +[2026-06-04 12:31:27,180][495402] Saving new best policy, reward=8201.600! +[2026-06-04 12:31:28,437][495491] Updated weights for policy 0, policy_version 38329 (0.0010) +[2026-06-04 12:31:31,390][495491] Updated weights for policy 0, policy_version 38391 (0.0012) +[2026-06-04 12:31:32,176][494436] Fps is (10 sec: 10649.6, 60 sec: 10922.7, 300 sec: 10663.5). Total num frames: 19660800. Throughput: 0: 10831.7. Samples: 19657728. Policy #0 lag: (min: 30.0, avg: 34.8, max: 94.0) +[2026-06-04 12:31:32,177][494436] Avg episode reward: [(0, '8168.700')] +[2026-06-04 12:31:33,917][495402] Signal inference workers to stop experience collection... (1800 times) +[2026-06-04 12:31:33,944][495491] InferenceWorker_p0-w0: stopping experience collection (1800 times) +[2026-06-04 12:31:34,057][495402] Signal inference workers to resume experience collection... (1800 times) +[2026-06-04 12:31:34,057][495491] InferenceWorker_p0-w0: resuming experience collection (1800 times) +[2026-06-04 12:31:34,502][495491] Updated weights for policy 0, policy_version 38460 (0.0011) +[2026-06-04 12:31:37,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10552.4). Total num frames: 19693568. Throughput: 0: 10718.7. Samples: 19718656. Policy #0 lag: (min: 30.0, avg: 34.8, max: 94.0) +[2026-06-04 12:31:37,177][494436] Avg episode reward: [(0, '8276.900')] +[2026-06-04 12:31:37,434][495402] Saving new best policy, reward=8276.900! +[2026-06-04 12:31:37,861][495491] Updated weights for policy 0, policy_version 38528 (0.0014) +[2026-06-04 12:31:42,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10922.7, 300 sec: 10635.7). Total num frames: 19759104. Throughput: 0: 10740.6. Samples: 19751936. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 12:31:42,177][494436] Avg episode reward: [(0, '8394.850')] +[2026-06-04 12:31:42,180][495402] Saving new best policy, reward=8394.850! +[2026-06-04 12:31:43,204][495491] Updated weights for policy 0, policy_version 38608 (0.0012) +[2026-06-04 12:31:46,264][495491] Updated weights for policy 0, policy_version 38673 (0.0011) +[2026-06-04 12:31:47,176][494436] Fps is (10 sec: 13107.1, 60 sec: 10922.7, 300 sec: 10663.5). Total num frames: 19824640. Throughput: 0: 10729.3. Samples: 19817472. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 12:31:47,177][494436] Avg episode reward: [(0, '8421.700')] +[2026-06-04 12:31:47,180][495402] Saving new best policy, reward=8421.700! +[2026-06-04 12:31:49,272][495491] Updated weights for policy 0, policy_version 38736 (0.0010) +[2026-06-04 12:31:52,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10377.1, 300 sec: 10552.4). Total num frames: 19857408. Throughput: 0: 10706.5. Samples: 19880960. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 12:31:52,177][494436] Avg episode reward: [(0, '8421.700')] +[2026-06-04 12:31:52,685][495491] Updated weights for policy 0, policy_version 38835 (0.0012) +[2026-06-04 12:31:55,904][495491] Updated weights for policy 0, policy_version 38904 (0.0010) +[2026-06-04 12:31:57,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10922.6, 300 sec: 10663.5). Total num frames: 19922944. Throughput: 0: 10683.7. Samples: 19913216. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 12:31:57,178][494436] Avg episode reward: [(0, '8499.350')] +[2026-06-04 12:31:57,182][495402] Saving new best policy, reward=8499.350! +[2026-06-04 12:31:58,981][495491] Updated weights for policy 0, policy_version 38973 (0.0013) +[2026-06-04 12:32:02,080][495491] Updated weights for policy 0, policy_version 39040 (0.0013) +[2026-06-04 12:32:02,176][494436] Fps is (10 sec: 13107.2, 60 sec: 10922.7, 300 sec: 10663.5). Total num frames: 19988480. Throughput: 0: 10661.0. Samples: 19977728. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 12:32:02,178][494436] Avg episode reward: [(0, '8662.800')] +[2026-06-04 12:32:02,183][495402] Saving new best policy, reward=8662.800! +[2026-06-04 12:32:07,176][494436] Fps is (10 sec: 9830.6, 60 sec: 10376.5, 300 sec: 10663.5). Total num frames: 20021248. Throughput: 0: 10717.8. Samples: 20042752. Policy #0 lag: (min: 1.0, avg: 5.5, max: 65.0) +[2026-06-04 12:32:07,177][494436] Avg episode reward: [(0, '8610.150')] +[2026-06-04 12:32:07,817][495491] Updated weights for policy 0, policy_version 39136 (0.0009) +[2026-06-04 12:32:10,839][495491] Updated weights for policy 0, policy_version 39216 (0.0014) +[2026-06-04 12:32:12,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10922.6, 300 sec: 10663.5). Total num frames: 20086784. Throughput: 0: 10774.7. Samples: 20076032. Policy #0 lag: (min: 1.0, avg: 5.5, max: 65.0) +[2026-06-04 12:32:12,177][494436] Avg episode reward: [(0, '8573.800')] +[2026-06-04 12:32:14,105][495491] Updated weights for policy 0, policy_version 39287 (0.0011) +[2026-06-04 12:32:17,176][494436] Fps is (10 sec: 11468.7, 60 sec: 10649.6, 300 sec: 10607.9). Total num frames: 20135936. Throughput: 0: 10683.7. Samples: 20138496. Policy #0 lag: (min: 1.0, avg: 5.5, max: 65.0) +[2026-06-04 12:32:17,177][494436] Avg episode reward: [(0, '8572.800')] +[2026-06-04 12:32:17,313][495491] Updated weights for policy 0, policy_version 39352 (0.0012) +[2026-06-04 12:32:20,547][495491] Updated weights for policy 0, policy_version 39423 (0.0011) +[2026-06-04 12:32:22,176][494436] Fps is (10 sec: 9830.6, 60 sec: 10513.0, 300 sec: 10663.5). Total num frames: 20185088. Throughput: 0: 10729.2. Samples: 20201472. Policy #0 lag: (min: 1.0, avg: 5.5, max: 65.0) +[2026-06-04 12:32:22,177][494436] Avg episode reward: [(0, '8559.600')] +[2026-06-04 12:32:23,359][495402] Signal inference workers to stop experience collection... (1850 times) +[2026-06-04 12:32:23,389][495491] InferenceWorker_p0-w0: stopping experience collection (1850 times) +[2026-06-04 12:32:23,482][495402] Signal inference workers to resume experience collection... (1850 times) +[2026-06-04 12:32:23,483][495491] InferenceWorker_p0-w0: resuming experience collection (1850 times) +[2026-06-04 12:32:23,695][495491] Updated weights for policy 0, policy_version 39485 (0.0012) +[2026-06-04 12:32:26,902][495491] Updated weights for policy 0, policy_version 39552 (0.0012) +[2026-06-04 12:32:27,176][494436] Fps is (10 sec: 11468.8, 60 sec: 10922.7, 300 sec: 10663.5). Total num frames: 20250624. Throughput: 0: 10672.3. Samples: 20232192. Policy #0 lag: (min: 1.0, avg: 5.5, max: 65.0) +[2026-06-04 12:32:27,177][494436] Avg episode reward: [(0, '8359.300')] +[2026-06-04 12:32:32,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10663.5). Total num frames: 20283392. Throughput: 0: 10524.5. Samples: 20291072. Policy #0 lag: (min: 5.0, avg: 8.0, max: 69.0) +[2026-06-04 12:32:32,177][494436] Avg episode reward: [(0, '8297.600')] +[2026-06-04 12:32:32,621][495491] Updated weights for policy 0, policy_version 39632 (0.0012) +[2026-06-04 12:32:35,802][495491] Updated weights for policy 0, policy_version 39713 (0.0011) +[2026-06-04 12:32:37,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10922.7, 300 sec: 10663.5). Total num frames: 20348928. Throughput: 0: 10615.5. Samples: 20358656. Policy #0 lag: (min: 5.0, avg: 8.0, max: 69.0) +[2026-06-04 12:32:37,177][494436] Avg episode reward: [(0, '8335.750')] +[2026-06-04 12:32:38,678][495491] Updated weights for policy 0, policy_version 39777 (0.0014) +[2026-06-04 12:32:41,609][495491] Updated weights for policy 0, policy_version 39856 (0.0013) +[2026-06-04 12:32:42,176][494436] Fps is (10 sec: 13107.2, 60 sec: 10922.7, 300 sec: 10691.3). Total num frames: 20414464. Throughput: 0: 10695.1. Samples: 20394496. Policy #0 lag: (min: 5.0, avg: 8.0, max: 69.0) +[2026-06-04 12:32:42,177][494436] Avg episode reward: [(0, '8362.000')] +[2026-06-04 12:32:44,532][495491] Updated weights for policy 0, policy_version 39920 (0.0011) +[2026-06-04 12:32:47,176][494436] Fps is (10 sec: 10649.5, 60 sec: 10513.1, 300 sec: 10691.3). Total num frames: 20455424. Throughput: 0: 10729.3. Samples: 20460544. Policy #0 lag: (min: 5.0, avg: 8.0, max: 69.0) +[2026-06-04 12:32:47,177][494436] Avg episode reward: [(0, '8525.050')] +[2026-06-04 12:32:47,524][495491] Updated weights for policy 0, policy_version 39987 (0.0010) +[2026-06-04 12:32:50,532][495491] Updated weights for policy 0, policy_version 40058 (0.0013) +[2026-06-04 12:32:52,176][494436] Fps is (10 sec: 9830.6, 60 sec: 10922.7, 300 sec: 10663.5). Total num frames: 20512768. Throughput: 0: 10820.3. Samples: 20529664. Policy #0 lag: (min: 5.0, avg: 8.0, max: 69.0) +[2026-06-04 12:32:52,177][494436] Avg episode reward: [(0, '8492.600')] +[2026-06-04 12:32:53,495][495491] Updated weights for policy 0, policy_version 40126 (0.0012) +[2026-06-04 12:32:57,176][494436] Fps is (10 sec: 12287.9, 60 sec: 10922.7, 300 sec: 10774.6). Total num frames: 20578304. Throughput: 0: 10843.1. Samples: 20563968. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:32:57,178][494436] Avg episode reward: [(0, '8693.400')] +[2026-06-04 12:32:57,181][495402] Saving new best policy, reward=8693.400! +[2026-06-04 12:32:58,909][495491] Updated weights for policy 0, policy_version 40208 (0.0012) +[2026-06-04 12:33:01,881][495491] Updated weights for policy 0, policy_version 40272 (0.0012) +[2026-06-04 12:33:02,176][494436] Fps is (10 sec: 12288.0, 60 sec: 10786.2, 300 sec: 10746.8). Total num frames: 20635648. Throughput: 0: 10900.0. Samples: 20628992. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:33:02,177][494436] Avg episode reward: [(0, '8990.500')] +[2026-06-04 12:33:02,356][495402] Saving new best policy, reward=8990.500! +[2026-06-04 12:33:04,898][495491] Updated weights for policy 0, policy_version 40336 (0.0010) +[2026-06-04 12:33:07,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10663.5). Total num frames: 20676608. Throughput: 0: 10922.7. Samples: 20692992. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:33:07,177][494436] Avg episode reward: [(0, '8874.250')] +[2026-06-04 12:33:08,361][495491] Updated weights for policy 0, policy_version 40435 (0.0011) +[2026-06-04 12:33:11,695][495491] Updated weights for policy 0, policy_version 40505 (0.0012) +[2026-06-04 12:33:12,176][494436] Fps is (10 sec: 10649.5, 60 sec: 10922.7, 300 sec: 10774.6). Total num frames: 20742144. Throughput: 0: 10934.1. Samples: 20724224. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:33:12,177][494436] Avg episode reward: [(0, '9011.950')] +[2026-06-04 12:33:12,181][495402] Saving new best policy, reward=9011.950! +[2026-06-04 12:33:14,280][495402] Signal inference workers to stop experience collection... (1900 times) +[2026-06-04 12:33:14,309][495491] InferenceWorker_p0-w0: stopping experience collection (1900 times) +[2026-06-04 12:33:14,423][495402] Signal inference workers to resume experience collection... (1900 times) +[2026-06-04 12:33:14,424][495491] InferenceWorker_p0-w0: resuming experience collection (1900 times) +[2026-06-04 12:33:14,850][495491] Updated weights for policy 0, policy_version 40576 (0.0012) +[2026-06-04 12:33:17,176][494436] Fps is (10 sec: 9830.6, 60 sec: 10649.6, 300 sec: 10663.5). Total num frames: 20774912. Throughput: 0: 11036.5. Samples: 20787712. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:33:17,177][494436] Avg episode reward: [(0, '9047.750')] +[2026-06-04 12:33:17,423][495402] Saving new best policy, reward=9047.750! +[2026-06-04 12:33:20,409][495491] Updated weights for policy 0, policy_version 40657 (0.0011) +[2026-06-04 12:33:22,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10922.7, 300 sec: 10663.5). Total num frames: 20840448. Throughput: 0: 10956.8. Samples: 20851712. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:33:22,177][494436] Avg episode reward: [(0, '8959.950')] +[2026-06-04 12:33:23,588][495491] Updated weights for policy 0, policy_version 40737 (0.0011) +[2026-06-04 12:33:26,815][495491] Updated weights for policy 0, policy_version 40817 (0.0011) +[2026-06-04 12:33:27,176][494436] Fps is (10 sec: 13107.0, 60 sec: 10922.7, 300 sec: 10774.6). Total num frames: 20905984. Throughput: 0: 10877.2. Samples: 20883968. Policy #0 lag: (min: 3.0, avg: 6.6, max: 67.0) +[2026-06-04 12:33:27,177][494436] Avg episode reward: [(0, '8724.600')] +[2026-06-04 12:33:29,906][495491] Updated weights for policy 0, policy_version 40883 (0.0009) +[2026-06-04 12:33:32,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10663.5). Total num frames: 20938752. Throughput: 0: 10854.4. Samples: 20948992. Policy #0 lag: (min: 3.0, avg: 6.6, max: 67.0) +[2026-06-04 12:33:32,177][494436] Avg episode reward: [(0, '8681.900')] +[2026-06-04 12:33:32,842][495491] Updated weights for policy 0, policy_version 40960 (0.0011) +[2026-06-04 12:33:36,129][495491] Updated weights for policy 0, policy_version 41022 (0.0013) +[2026-06-04 12:33:37,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10922.6, 300 sec: 10719.0). Total num frames: 21004288. Throughput: 0: 10763.3. Samples: 21014016. Policy #0 lag: (min: 3.0, avg: 6.6, max: 67.0) +[2026-06-04 12:33:37,177][494436] Avg episode reward: [(0, '8821.550')] +[2026-06-04 12:33:41,588][495491] Updated weights for policy 0, policy_version 41104 (0.0014) +[2026-06-04 12:33:42,176][494436] Fps is (10 sec: 13107.4, 60 sec: 10922.7, 300 sec: 10774.6). Total num frames: 21069824. Throughput: 0: 10695.1. Samples: 21045248. Policy #0 lag: (min: 3.0, avg: 6.6, max: 67.0) +[2026-06-04 12:33:42,177][494436] Avg episode reward: [(0, '8532.150')] +[2026-06-04 12:33:44,601][495491] Updated weights for policy 0, policy_version 41168 (0.0012) +[2026-06-04 12:33:47,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10786.1, 300 sec: 10663.5). Total num frames: 21102592. Throughput: 0: 10740.6. Samples: 21112320. Policy #0 lag: (min: 3.0, avg: 6.6, max: 67.0) +[2026-06-04 12:33:47,177][494436] Avg episode reward: [(0, '8429.450')] +[2026-06-04 12:33:47,605][495491] Updated weights for policy 0, policy_version 41232 (0.0012) +[2026-06-04 12:33:50,672][495491] Updated weights for policy 0, policy_version 41312 (0.0015) +[2026-06-04 12:33:52,176][494436] Fps is (10 sec: 9830.2, 60 sec: 10922.6, 300 sec: 10774.6). Total num frames: 21168128. Throughput: 0: 10763.4. Samples: 21177344. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) +[2026-06-04 12:33:52,177][494436] Avg episode reward: [(0, '8609.700')] +[2026-06-04 12:33:53,934][495491] Updated weights for policy 0, policy_version 41395 (0.0014) +[2026-06-04 12:33:56,986][495491] Updated weights for policy 0, policy_version 41459 (0.0011) +[2026-06-04 12:33:57,176][494436] Fps is (10 sec: 13107.5, 60 sec: 10922.7, 300 sec: 10774.6). Total num frames: 21233664. Throughput: 0: 10808.9. Samples: 21210624. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) +[2026-06-04 12:33:57,178][494436] Avg episode reward: [(0, '8691.850')] +[2026-06-04 12:34:00,138][495491] Updated weights for policy 0, policy_version 41531 (0.0015) +[2026-06-04 12:34:02,176][494436] Fps is (10 sec: 9830.6, 60 sec: 10513.1, 300 sec: 10746.8). Total num frames: 21266432. Throughput: 0: 10831.6. Samples: 21275136. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) +[2026-06-04 12:34:02,177][494436] Avg episode reward: [(0, '8649.900')] +[2026-06-04 12:34:05,668][495402] Signal inference workers to stop experience collection... (1950 times) +[2026-06-04 12:34:05,698][495491] InferenceWorker_p0-w0: stopping experience collection (1950 times) +[2026-06-04 12:34:05,796][495402] Signal inference workers to resume experience collection... (1950 times) +[2026-06-04 12:34:05,797][495491] InferenceWorker_p0-w0: resuming experience collection (1950 times) +[2026-06-04 12:34:05,925][495491] Updated weights for policy 0, policy_version 41632 (0.0013) +[2026-06-04 12:34:07,176][494436] Fps is (10 sec: 9830.2, 60 sec: 10922.7, 300 sec: 10774.6). Total num frames: 21331968. Throughput: 0: 10820.3. Samples: 21338624. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) +[2026-06-04 12:34:07,177][494436] Avg episode reward: [(0, '8644.400')] +[2026-06-04 12:34:09,205][495491] Updated weights for policy 0, policy_version 41715 (0.0010) +[2026-06-04 12:34:12,176][494436] Fps is (10 sec: 11468.6, 60 sec: 10649.6, 300 sec: 10719.0). Total num frames: 21381120. Throughput: 0: 10820.3. Samples: 21370880. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) +[2026-06-04 12:34:12,177][494436] Avg episode reward: [(0, '8778.950')] +[2026-06-04 12:34:12,375][495491] Updated weights for policy 0, policy_version 41784 (0.0013) +[2026-06-04 12:34:15,524][495491] Updated weights for policy 0, policy_version 41854 (0.0011) +[2026-06-04 12:34:17,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10922.7, 300 sec: 10774.6). Total num frames: 21430272. Throughput: 0: 10786.2. Samples: 21434368. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) +[2026-06-04 12:34:17,177][494436] Avg episode reward: [(0, '8823.600')] +[2026-06-04 12:34:21,221][495491] Updated weights for policy 0, policy_version 41936 (0.0012) +[2026-06-04 12:34:22,176][494436] Fps is (10 sec: 11468.8, 60 sec: 10922.7, 300 sec: 10774.6). Total num frames: 21495808. Throughput: 0: 10763.4. Samples: 21498368. Policy #0 lag: (min: 6.0, avg: 10.4, max: 70.0) +[2026-06-04 12:34:22,177][494436] Avg episode reward: [(0, '8696.200')] +[2026-06-04 12:34:24,315][495491] Updated weights for policy 0, policy_version 42016 (0.0012) +[2026-06-04 12:34:27,176][494436] Fps is (10 sec: 10649.5, 60 sec: 10513.1, 300 sec: 10719.0). Total num frames: 21536768. Throughput: 0: 10774.7. Samples: 21530112. Policy #0 lag: (min: 6.0, avg: 10.4, max: 70.0) +[2026-06-04 12:34:27,178][494436] Avg episode reward: [(0, '8820.450')] +[2026-06-04 12:34:27,355][495491] Updated weights for policy 0, policy_version 42096 (0.0011) +[2026-06-04 12:34:30,455][495491] Updated weights for policy 0, policy_version 42163 (0.0010) +[2026-06-04 12:34:32,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10774.6). Total num frames: 21594112. Throughput: 0: 10786.1. Samples: 21597696. Policy #0 lag: (min: 6.0, avg: 10.4, max: 70.0) +[2026-06-04 12:34:32,177][494436] Avg episode reward: [(0, '8872.750')] +[2026-06-04 12:34:33,509][495491] Updated weights for policy 0, policy_version 42235 (0.0014) +[2026-06-04 12:34:37,176][494436] Fps is (10 sec: 12288.0, 60 sec: 10922.7, 300 sec: 10774.6). Total num frames: 21659648. Throughput: 0: 10786.1. Samples: 21662720. Policy #0 lag: (min: 6.0, avg: 10.4, max: 70.0) +[2026-06-04 12:34:37,177][494436] Avg episode reward: [(0, '8858.750')] +[2026-06-04 12:34:38,931][495491] Updated weights for policy 0, policy_version 42305 (0.0012) +[2026-06-04 12:34:39,550][495491] Updated weights for policy 0, policy_version 42367 (0.0011) +[2026-06-04 12:34:42,176][494436] Fps is (10 sec: 11468.9, 60 sec: 10649.6, 300 sec: 10830.1). Total num frames: 21708800. Throughput: 0: 10820.2. Samples: 21697536. Policy #0 lag: (min: 6.0, avg: 10.4, max: 70.0) +[2026-06-04 12:34:42,177][494436] Avg episode reward: [(0, '8906.000')] +[2026-06-04 12:34:42,408][495491] Updated weights for policy 0, policy_version 42425 (0.0012) +[2026-06-04 12:34:45,395][495491] Updated weights for policy 0, policy_version 42496 (0.0013) +[2026-06-04 12:34:47,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10922.7, 300 sec: 10774.6). Total num frames: 21757952. Throughput: 0: 10854.3. Samples: 21763584. Policy #0 lag: (min: 1.0, avg: 5.5, max: 65.0) +[2026-06-04 12:34:47,177][494436] Avg episode reward: [(0, '8959.050')] +[2026-06-04 12:34:51,194][495491] Updated weights for policy 0, policy_version 42608 (0.0013) +[2026-06-04 12:34:52,176][494436] Fps is (10 sec: 11468.8, 60 sec: 10922.7, 300 sec: 10774.6). Total num frames: 21823488. Throughput: 0: 10888.5. Samples: 21828608. Policy #0 lag: (min: 1.0, avg: 5.5, max: 65.0) +[2026-06-04 12:34:52,178][494436] Avg episode reward: [(0, '9038.600')] +[2026-06-04 12:34:54,277][495402] Signal inference workers to stop experience collection... (2000 times) +[2026-06-04 12:34:54,307][495491] InferenceWorker_p0-w0: stopping experience collection (2000 times) +[2026-06-04 12:34:54,395][495402] Signal inference workers to resume experience collection... (2000 times) +[2026-06-04 12:34:54,396][495491] InferenceWorker_p0-w0: resuming experience collection (2000 times) +[2026-06-04 12:34:54,499][495491] Updated weights for policy 0, policy_version 42679 (0.0010) +[2026-06-04 12:34:57,176][494436] Fps is (10 sec: 10649.6, 60 sec: 10513.0, 300 sec: 10802.3). Total num frames: 21864448. Throughput: 0: 10843.0. Samples: 21858816. Policy #0 lag: (min: 1.0, avg: 5.5, max: 65.0) +[2026-06-04 12:34:57,177][494436] Avg episode reward: [(0, '9154.000')] +[2026-06-04 12:34:57,435][495402] Saving new best policy, reward=9154.000! +[2026-06-04 12:34:57,651][495491] Updated weights for policy 0, policy_version 42749 (0.0011) +[2026-06-04 12:35:02,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10922.6, 300 sec: 10774.6). Total num frames: 21921792. Throughput: 0: 10888.5. Samples: 21924352. Policy #0 lag: (min: 1.0, avg: 5.5, max: 65.0) +[2026-06-04 12:35:02,177][494436] Avg episode reward: [(0, '9430.450')] +[2026-06-04 12:35:02,182][495402] Saving new best policy, reward=9430.450! +[2026-06-04 12:35:03,396][495491] Updated weights for policy 0, policy_version 42848 (0.0011) +[2026-06-04 12:35:06,454][495491] Updated weights for policy 0, policy_version 42929 (0.0013) +[2026-06-04 12:35:07,176][494436] Fps is (10 sec: 12288.1, 60 sec: 10922.7, 300 sec: 10802.3). Total num frames: 21987328. Throughput: 0: 10922.7. Samples: 21989888. Policy #0 lag: (min: 1.0, avg: 5.5, max: 65.0) +[2026-06-04 12:35:07,177][494436] Avg episode reward: [(0, '9485.750')] +[2026-06-04 12:35:07,181][495402] Saving new best policy, reward=9485.750! +[2026-06-04 12:35:09,715][495491] Updated weights for policy 0, policy_version 43002 (0.0011) +[2026-06-04 12:35:12,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10649.6, 300 sec: 10774.6). Total num frames: 22020096. Throughput: 0: 10922.7. Samples: 22021632. Policy #0 lag: (min: 1.0, avg: 5.5, max: 65.0) +[2026-06-04 12:35:12,177][494436] Avg episode reward: [(0, '9314.450')] +[2026-06-04 12:35:15,539][495491] Updated weights for policy 0, policy_version 43088 (0.0012) +[2026-06-04 12:35:17,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10922.6, 300 sec: 10774.6). Total num frames: 22085632. Throughput: 0: 10865.8. Samples: 22086656. Policy #0 lag: (min: 5.0, avg: 8.0, max: 69.0) +[2026-06-04 12:35:17,177][494436] Avg episode reward: [(0, '9269.850')] +[2026-06-04 12:35:18,695][495491] Updated weights for policy 0, policy_version 43168 (0.0011) +[2026-06-04 12:35:21,810][495491] Updated weights for policy 0, policy_version 43248 (0.0010) +[2026-06-04 12:35:22,176][494436] Fps is (10 sec: 13106.9, 60 sec: 10922.7, 300 sec: 10857.9). Total num frames: 22151168. Throughput: 0: 10877.1. Samples: 22152192. Policy #0 lag: (min: 5.0, avg: 8.0, max: 69.0) +[2026-06-04 12:35:22,177][494436] Avg episode reward: [(0, '9275.300')] +[2026-06-04 12:35:24,860][495491] Updated weights for policy 0, policy_version 43297 (0.0012) +[2026-06-04 12:35:27,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10786.1, 300 sec: 10774.6). Total num frames: 22183936. Throughput: 0: 10808.9. Samples: 22183936. Policy #0 lag: (min: 5.0, avg: 8.0, max: 69.0) +[2026-06-04 12:35:27,177][494436] Avg episode reward: [(0, '9190.800')] +[2026-06-04 12:35:27,740][495491] Updated weights for policy 0, policy_version 43360 (0.0009) +[2026-06-04 12:35:30,984][495491] Updated weights for policy 0, policy_version 43440 (0.0011) +[2026-06-04 12:35:32,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10922.7, 300 sec: 10774.6). Total num frames: 22249472. Throughput: 0: 10774.8. Samples: 22248448. Policy #0 lag: (min: 5.0, avg: 8.0, max: 69.0) +[2026-06-04 12:35:32,177][494436] Avg episode reward: [(0, '9269.550')] +[2026-06-04 12:35:33,977][495491] Updated weights for policy 0, policy_version 43505 (0.0011) +[2026-06-04 12:35:37,042][495491] Updated weights for policy 0, policy_version 43578 (0.0012) +[2026-06-04 12:35:37,176][494436] Fps is (10 sec: 13107.3, 60 sec: 10922.7, 300 sec: 10885.6). Total num frames: 22315008. Throughput: 0: 10820.3. Samples: 22315520. Policy #0 lag: (min: 5.0, avg: 8.0, max: 69.0) +[2026-06-04 12:35:37,177][494436] Avg episode reward: [(0, '9262.400')] +[2026-06-04 12:35:40,363][495491] Updated weights for policy 0, policy_version 43643 (0.0010) +[2026-06-04 12:35:42,177][494436] Fps is (10 sec: 9829.8, 60 sec: 10649.5, 300 sec: 10774.5). Total num frames: 22347776. Throughput: 0: 10797.4. Samples: 22344704. Policy #0 lag: (min: 31.0, avg: 34.0, max: 95.0) +[2026-06-04 12:35:42,179][494436] Avg episode reward: [(0, '9295.700')] +[2026-06-04 12:35:43,393][495491] Updated weights for policy 0, policy_version 43712 (0.0011) +[2026-06-04 12:35:45,985][495402] Signal inference workers to stop experience collection... (2050 times) +[2026-06-04 12:35:46,013][495491] InferenceWorker_p0-w0: stopping experience collection (2050 times) +[2026-06-04 12:35:46,124][495402] Signal inference workers to resume experience collection... (2050 times) +[2026-06-04 12:35:46,125][495491] InferenceWorker_p0-w0: resuming experience collection (2050 times) +[2026-06-04 12:35:47,177][494436] Fps is (10 sec: 9830.2, 60 sec: 10922.7, 300 sec: 10774.7). Total num frames: 22413312. Throughput: 0: 10797.5. Samples: 22410240. Policy #0 lag: (min: 31.0, avg: 34.0, max: 95.0) +[2026-06-04 12:35:47,180][494436] Avg episode reward: [(0, '9076.200')] +[2026-06-04 12:35:49,349][495491] Updated weights for policy 0, policy_version 43824 (0.0011) +[2026-06-04 12:35:52,176][494436] Fps is (10 sec: 10650.2, 60 sec: 10513.1, 300 sec: 10802.3). Total num frames: 22454272. Throughput: 0: 10740.6. Samples: 22473216. Policy #0 lag: (min: 31.0, avg: 34.0, max: 95.0) +[2026-06-04 12:35:52,177][494436] Avg episode reward: [(0, '9047.350')] +[2026-06-04 12:35:52,396][495491] Updated weights for policy 0, policy_version 43888 (0.0013) +[2026-06-04 12:35:55,538][495491] Updated weights for policy 0, policy_version 43960 (0.0012) +[2026-06-04 12:35:57,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10786.1, 300 sec: 10774.6). Total num frames: 22511616. Throughput: 0: 10774.7. Samples: 22506496. Policy #0 lag: (min: 31.0, avg: 34.0, max: 95.0) +[2026-06-04 12:35:57,177][494436] Avg episode reward: [(0, '8714.000')] +[2026-06-04 12:36:01,190][495491] Updated weights for policy 0, policy_version 44048 (0.0013) +[2026-06-04 12:36:02,176][494436] Fps is (10 sec: 12287.8, 60 sec: 10922.6, 300 sec: 10774.6). Total num frames: 22577152. Throughput: 0: 10752.0. Samples: 22570496. Policy #0 lag: (min: 31.0, avg: 34.0, max: 95.0) +[2026-06-04 12:36:02,177][494436] Avg episode reward: [(0, '8903.400')] +[2026-06-04 12:36:04,467][495491] Updated weights for policy 0, policy_version 44129 (0.0013) +[2026-06-04 12:36:07,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10774.6). Total num frames: 22609920. Throughput: 0: 10717.9. Samples: 22634496. Policy #0 lag: (min: 31.0, avg: 34.0, max: 95.0) +[2026-06-04 12:36:07,177][494436] Avg episode reward: [(0, '8902.900')] +[2026-06-04 12:36:07,611][495491] Updated weights for policy 0, policy_version 44208 (0.0011) +[2026-06-04 12:36:10,835][495491] Updated weights for policy 0, policy_version 44275 (0.0012) +[2026-06-04 12:36:12,176][494436] Fps is (10 sec: 9830.6, 60 sec: 10922.7, 300 sec: 10774.6). Total num frames: 22675456. Throughput: 0: 10729.3. Samples: 22666752. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:36:12,177][494436] Avg episode reward: [(0, '9052.850')] +[2026-06-04 12:36:13,751][495491] Updated weights for policy 0, policy_version 44342 (0.0012) +[2026-06-04 12:36:16,725][495491] Updated weights for policy 0, policy_version 44407 (0.0012) +[2026-06-04 12:36:17,176][494436] Fps is (10 sec: 13107.2, 60 sec: 10922.7, 300 sec: 10802.3). Total num frames: 22740992. Throughput: 0: 10786.1. Samples: 22733824. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:36:17,177][494436] Avg episode reward: [(0, '9009.750')] +[2026-06-04 12:36:19,847][495491] Updated weights for policy 0, policy_version 44479 (0.0009) +[2026-06-04 12:36:22,176][494436] Fps is (10 sec: 9830.1, 60 sec: 10376.5, 300 sec: 10774.6). Total num frames: 22773760. Throughput: 0: 10740.6. Samples: 22798848. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:36:22,177][494436] Avg episode reward: [(0, '8856.300')] +[2026-06-04 12:36:22,694][495491] Updated weights for policy 0, policy_version 44541 (0.0009) +[2026-06-04 12:36:25,553][495491] Updated weights for policy 0, policy_version 44606 (0.0012) +[2026-06-04 12:36:27,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10774.6). Total num frames: 22839296. Throughput: 0: 10877.3. Samples: 22834176. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:36:27,177][494436] Avg episode reward: [(0, '9134.150')] +[2026-06-04 12:36:28,440][495491] Updated weights for policy 0, policy_version 44671 (0.0009) +[2026-06-04 12:36:31,293][495491] Updated weights for policy 0, policy_version 44736 (0.0013) +[2026-06-04 12:36:32,177][494436] Fps is (10 sec: 13106.9, 60 sec: 10922.6, 300 sec: 10885.6). Total num frames: 22904832. Throughput: 0: 10956.7. Samples: 22903296. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:36:32,178][494436] Avg episode reward: [(0, '9542.900')] +[2026-06-04 12:36:32,181][495402] Saving new best policy, reward=9542.900! +[2026-06-04 12:36:34,413][495491] Updated weights for policy 0, policy_version 44795 (0.0011) +[2026-06-04 12:36:36,617][495402] Signal inference workers to stop experience collection... (2100 times) +[2026-06-04 12:36:36,645][495491] InferenceWorker_p0-w0: stopping experience collection (2100 times) +[2026-06-04 12:36:36,779][495402] Signal inference workers to resume experience collection... (2100 times) +[2026-06-04 12:36:36,780][495491] InferenceWorker_p0-w0: resuming experience collection (2100 times) +[2026-06-04 12:36:37,176][494436] Fps is (10 sec: 12287.9, 60 sec: 10786.1, 300 sec: 10857.9). Total num frames: 22962176. Throughput: 0: 11013.7. Samples: 22968832. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 12:36:37,178][494436] Avg episode reward: [(0, '9665.150')] +[2026-06-04 12:36:37,258][495491] Updated weights for policy 0, policy_version 44863 (0.0011) +[2026-06-04 12:36:37,262][495402] Saving new best policy, reward=9665.150! +[2026-06-04 12:36:40,248][495491] Updated weights for policy 0, policy_version 44927 (0.0011) +[2026-06-04 12:36:42,176][494436] Fps is (10 sec: 9830.7, 60 sec: 10922.8, 300 sec: 10774.6). Total num frames: 23003136. Throughput: 0: 11002.3. Samples: 23001600. Policy #0 lag: (min: 10.0, avg: 13.5, max: 74.0) +[2026-06-04 12:36:42,177][494436] Avg episode reward: [(0, '9693.200')] +[2026-06-04 12:36:42,182][495402] Saving new best policy, reward=9693.200! +[2026-06-04 12:36:43,414][495491] Updated weights for policy 0, policy_version 44992 (0.0009) +[2026-06-04 12:36:47,176][494436] Fps is (10 sec: 10649.7, 60 sec: 10922.7, 300 sec: 10885.6). Total num frames: 23068672. Throughput: 0: 11002.4. Samples: 23065600. Policy #0 lag: (min: 10.0, avg: 13.5, max: 74.0) +[2026-06-04 12:36:47,177][494436] Avg episode reward: [(0, '9646.400')] +[2026-06-04 12:36:48,872][495491] Updated weights for policy 0, policy_version 45072 (0.0010) +[2026-06-04 12:36:52,117][495491] Updated weights for policy 0, policy_version 45169 (0.0013) +[2026-06-04 12:36:52,176][494436] Fps is (10 sec: 12288.2, 60 sec: 11195.7, 300 sec: 10857.9). Total num frames: 23126016. Throughput: 0: 11059.2. Samples: 23132160. Policy #0 lag: (min: 10.0, avg: 13.5, max: 74.0) +[2026-06-04 12:36:52,177][494436] Avg episode reward: [(0, '9736.800')] +[2026-06-04 12:36:52,305][495402] Saving new best policy, reward=9736.800! +[2026-06-04 12:36:55,102][495491] Updated weights for policy 0, policy_version 45237 (0.0012) +[2026-06-04 12:36:57,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10922.7, 300 sec: 10774.6). Total num frames: 23166976. Throughput: 0: 11116.1. Samples: 23166976. Policy #0 lag: (min: 10.0, avg: 13.5, max: 74.0) +[2026-06-04 12:36:57,177][494436] Avg episode reward: [(0, '9765.900')] +[2026-06-04 12:36:57,181][495402] Saving new best policy, reward=9765.900! +[2026-06-04 12:36:58,343][495491] Updated weights for policy 0, policy_version 45312 (0.0011) +[2026-06-04 12:37:02,176][494436] Fps is (10 sec: 10649.4, 60 sec: 10922.7, 300 sec: 10885.6). Total num frames: 23232512. Throughput: 0: 11070.6. Samples: 23232000. Policy #0 lag: (min: 10.0, avg: 13.5, max: 74.0) +[2026-06-04 12:37:02,177][494436] Avg episode reward: [(0, '9711.450')] +[2026-06-04 12:37:03,754][495491] Updated weights for policy 0, policy_version 45409 (0.0011) +[2026-06-04 12:37:06,825][495491] Updated weights for policy 0, policy_version 45491 (0.0009) +[2026-06-04 12:37:07,176][494436] Fps is (10 sec: 13107.0, 60 sec: 11468.8, 300 sec: 10885.6). Total num frames: 23298048. Throughput: 0: 11104.7. Samples: 23298560. Policy #0 lag: (min: 10.0, avg: 13.5, max: 74.0) +[2026-06-04 12:37:07,177][494436] Avg episode reward: [(0, '9937.450')] +[2026-06-04 12:37:07,182][495402] Saving new best policy, reward=9937.450! +[2026-06-04 12:37:09,915][495491] Updated weights for policy 0, policy_version 45558 (0.0010) +[2026-06-04 12:37:12,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10922.6, 300 sec: 10830.1). Total num frames: 23330816. Throughput: 0: 11047.8. Samples: 23331328. Policy #0 lag: (min: 14.0, avg: 17.0, max: 78.0) +[2026-06-04 12:37:12,177][494436] Avg episode reward: [(0, '10064.400')] +[2026-06-04 12:37:12,182][495402] Saving new best policy, reward=10064.400! +[2026-06-04 12:37:12,855][495491] Updated weights for policy 0, policy_version 45628 (0.0011) +[2026-06-04 12:37:15,938][495491] Updated weights for policy 0, policy_version 45695 (0.0010) +[2026-06-04 12:37:17,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10922.6, 300 sec: 10885.6). Total num frames: 23396352. Throughput: 0: 10991.0. Samples: 23397888. Policy #0 lag: (min: 14.0, avg: 17.0, max: 78.0) +[2026-06-04 12:37:17,177][494436] Avg episode reward: [(0, '10140.950')] +[2026-06-04 12:37:17,183][495402] Saving new best policy, reward=10140.950! +[2026-06-04 12:37:21,493][495491] Updated weights for policy 0, policy_version 45776 (0.0012) +[2026-06-04 12:37:22,176][494436] Fps is (10 sec: 13107.2, 60 sec: 11468.8, 300 sec: 10885.6). Total num frames: 23461888. Throughput: 0: 10979.5. Samples: 23462912. Policy #0 lag: (min: 14.0, avg: 17.0, max: 78.0) +[2026-06-04 12:37:22,177][494436] Avg episode reward: [(0, '10184.900')] +[2026-06-04 12:37:22,182][495402] Saving new best policy, reward=10184.900! +[2026-06-04 12:37:24,402][495491] Updated weights for policy 0, policy_version 45840 (0.0010) +[2026-06-04 12:37:24,576][495402] Signal inference workers to stop experience collection... (2150 times) +[2026-06-04 12:37:24,607][495491] InferenceWorker_p0-w0: stopping experience collection (2150 times) +[2026-06-04 12:37:24,694][495402] Signal inference workers to resume experience collection... (2150 times) +[2026-06-04 12:37:24,695][495491] InferenceWorker_p0-w0: resuming experience collection (2150 times) +[2026-06-04 12:37:27,176][494436] Fps is (10 sec: 9830.6, 60 sec: 10922.7, 300 sec: 10885.6). Total num frames: 23494656. Throughput: 0: 10991.0. Samples: 23496192. Policy #0 lag: (min: 14.0, avg: 17.0, max: 78.0) +[2026-06-04 12:37:27,177][494436] Avg episode reward: [(0, '10038.100')] +[2026-06-04 12:37:27,813][495491] Updated weights for policy 0, policy_version 45920 (0.0011) +[2026-06-04 12:37:30,672][495491] Updated weights for policy 0, policy_version 45969 (0.0010) +[2026-06-04 12:37:32,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10922.7, 300 sec: 10885.6). Total num frames: 23560192. Throughput: 0: 11002.3. Samples: 23560704. Policy #0 lag: (min: 14.0, avg: 17.0, max: 78.0) +[2026-06-04 12:37:32,177][494436] Avg episode reward: [(0, '9990.050')] +[2026-06-04 12:37:33,613][495491] Updated weights for policy 0, policy_version 46048 (0.0011) +[2026-06-04 12:37:36,644][495491] Updated weights for policy 0, policy_version 46112 (0.0009) +[2026-06-04 12:37:37,176][494436] Fps is (10 sec: 13107.0, 60 sec: 11059.2, 300 sec: 10885.6). Total num frames: 23625728. Throughput: 0: 10979.5. Samples: 23626240. Policy #0 lag: (min: 14.0, avg: 17.0, max: 78.0) +[2026-06-04 12:37:37,177][494436] Avg episode reward: [(0, '10008.150')] +[2026-06-04 12:37:39,770][495491] Updated weights for policy 0, policy_version 46192 (0.0011) +[2026-06-04 12:37:42,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10922.7, 300 sec: 10857.9). Total num frames: 23658496. Throughput: 0: 10934.1. Samples: 23659008. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:37:42,176][494436] Avg episode reward: [(0, '10072.600')] +[2026-06-04 12:37:42,180][495402] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride4_seed13/checkpoint_p0/checkpoint_000046208_23658496.pth... +[2026-06-04 12:37:43,081][495491] Updated weights for policy 0, policy_version 46263 (0.0012) +[2026-06-04 12:37:46,285][495491] Updated weights for policy 0, policy_version 46336 (0.0011) +[2026-06-04 12:37:47,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10922.7, 300 sec: 10885.6). Total num frames: 23724032. Throughput: 0: 10911.3. Samples: 23723008. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:37:47,177][494436] Avg episode reward: [(0, '10091.200')] +[2026-06-04 12:37:51,931][495491] Updated weights for policy 0, policy_version 46432 (0.0012) +[2026-06-04 12:37:52,176][494436] Fps is (10 sec: 12288.0, 60 sec: 10922.7, 300 sec: 10857.9). Total num frames: 23781376. Throughput: 0: 10888.6. Samples: 23788544. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:37:52,177][494436] Avg episode reward: [(0, '10020.200')] +[2026-06-04 12:37:54,936][495491] Updated weights for policy 0, policy_version 46496 (0.0011) +[2026-06-04 12:37:57,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10922.7, 300 sec: 10802.3). Total num frames: 23822336. Throughput: 0: 10888.6. Samples: 23821312. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:37:57,177][494436] Avg episode reward: [(0, '9834.550')] +[2026-06-04 12:37:57,800][495491] Updated weights for policy 0, policy_version 46560 (0.0011) +[2026-06-04 12:38:00,806][495491] Updated weights for policy 0, policy_version 46640 (0.0012) +[2026-06-04 12:38:02,176][494436] Fps is (10 sec: 10649.5, 60 sec: 10922.7, 300 sec: 10885.6). Total num frames: 23887872. Throughput: 0: 10899.9. Samples: 23888384. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:38:02,177][494436] Avg episode reward: [(0, '9742.200')] +[2026-06-04 12:38:04,036][495491] Updated weights for policy 0, policy_version 46707 (0.0012) +[2026-06-04 12:38:07,174][495491] Updated weights for policy 0, policy_version 46784 (0.0012) +[2026-06-04 12:38:07,176][494436] Fps is (10 sec: 13107.0, 60 sec: 10922.7, 300 sec: 10885.6). Total num frames: 23953408. Throughput: 0: 10899.9. Samples: 23953408. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:38:07,177][494436] Avg episode reward: [(0, '9499.700')] +[2026-06-04 12:38:12,176][494436] Fps is (10 sec: 9830.6, 60 sec: 10922.7, 300 sec: 10885.6). Total num frames: 23986176. Throughput: 0: 10820.3. Samples: 23983104. Policy #0 lag: (min: 0.0, avg: 3.6, max: 64.0) +[2026-06-04 12:38:12,177][494436] Avg episode reward: [(0, '9630.350')] +[2026-06-04 12:38:13,131][495491] Updated weights for policy 0, policy_version 46880 (0.0017) +[2026-06-04 12:38:15,964][495402] Signal inference workers to stop experience collection... (2200 times) +[2026-06-04 12:38:15,997][495491] InferenceWorker_p0-w0: stopping experience collection (2200 times) +[2026-06-04 12:38:16,113][495402] Signal inference workers to resume experience collection... (2200 times) +[2026-06-04 12:38:16,113][495491] InferenceWorker_p0-w0: resuming experience collection (2200 times) +[2026-06-04 12:38:16,230][495491] Updated weights for policy 0, policy_version 46960 (0.0014) +[2026-06-04 12:38:17,176][494436] Fps is (10 sec: 9830.5, 60 sec: 10922.7, 300 sec: 10885.6). Total num frames: 24051712. Throughput: 0: 10831.7. Samples: 24048128. Policy #0 lag: (min: 0.0, avg: 3.6, max: 64.0) +[2026-06-04 12:38:17,177][494436] Avg episode reward: [(0, '9704.700')] +[2026-06-04 12:38:19,356][495491] Updated weights for policy 0, policy_version 47029 (0.0012) +[2026-06-04 12:38:22,176][494436] Fps is (10 sec: 12287.5, 60 sec: 10786.1, 300 sec: 10857.9). Total num frames: 24109056. Throughput: 0: 10854.4. Samples: 24114688. Policy #0 lag: (min: 0.0, avg: 3.6, max: 64.0) +[2026-06-04 12:38:22,178][494436] Avg episode reward: [(0, '9708.000')] +[2026-06-04 12:38:22,340][495491] Updated weights for policy 0, policy_version 47104 (0.0011) +[2026-06-04 12:38:27,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10922.6, 300 sec: 10885.6). Total num frames: 24150016. Throughput: 0: 10854.4. Samples: 24147456. Policy #0 lag: (min: 0.0, avg: 3.6, max: 64.0) +[2026-06-04 12:38:27,177][494436] Avg episode reward: [(0, '9611.200')] +[2026-06-04 12:38:28,109][495491] Updated weights for policy 0, policy_version 47201 (0.0013) +[2026-06-04 12:38:31,230][495491] Updated weights for policy 0, policy_version 47283 (0.0013) +[2026-06-04 12:38:32,176][494436] Fps is (10 sec: 10650.0, 60 sec: 10922.7, 300 sec: 10885.6). Total num frames: 24215552. Throughput: 0: 10888.6. Samples: 24212992. Policy #0 lag: (min: 0.0, avg: 3.6, max: 64.0) +[2026-06-04 12:38:32,176][494436] Avg episode reward: [(0, '9681.100')] +[2026-06-04 12:38:34,247][495491] Updated weights for policy 0, policy_version 47347 (0.0014) +[2026-06-04 12:38:37,176][494436] Fps is (10 sec: 12288.1, 60 sec: 10786.2, 300 sec: 10857.9). Total num frames: 24272896. Throughput: 0: 10911.3. Samples: 24279552. Policy #0 lag: (min: 0.0, avg: 3.6, max: 64.0) +[2026-06-04 12:38:37,177][494436] Avg episode reward: [(0, '9942.200')] +[2026-06-04 12:38:37,194][495491] Updated weights for policy 0, policy_version 47414 (0.0017) +[2026-06-04 12:38:40,348][495491] Updated weights for policy 0, policy_version 47484 (0.0011) +[2026-06-04 12:38:42,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10885.6). Total num frames: 24313856. Throughput: 0: 10888.5. Samples: 24311296. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:38:42,177][494436] Avg episode reward: [(0, '10389.050')] +[2026-06-04 12:38:42,181][495402] Saving new best policy, reward=10389.050! +[2026-06-04 12:38:43,216][495491] Updated weights for policy 0, policy_version 47545 (0.0011) +[2026-06-04 12:38:46,218][495491] Updated weights for policy 0, policy_version 47613 (0.0013) +[2026-06-04 12:38:47,176][494436] Fps is (10 sec: 10649.5, 60 sec: 10922.7, 300 sec: 10885.6). Total num frames: 24379392. Throughput: 0: 10865.8. Samples: 24377344. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:38:47,178][494436] Avg episode reward: [(0, '10574.800')] +[2026-06-04 12:38:47,183][495402] Saving new best policy, reward=10574.800! +[2026-06-04 12:38:51,550][495491] Updated weights for policy 0, policy_version 47696 (0.0012) +[2026-06-04 12:38:52,176][494436] Fps is (10 sec: 13107.0, 60 sec: 11059.2, 300 sec: 10885.6). Total num frames: 24444928. Throughput: 0: 10934.0. Samples: 24445440. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:38:52,177][494436] Avg episode reward: [(0, '10868.450')] +[2026-06-04 12:38:52,180][495402] Saving new best policy, reward=10868.450! +[2026-06-04 12:38:54,760][495491] Updated weights for policy 0, policy_version 47776 (0.0012) +[2026-06-04 12:38:57,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10922.6, 300 sec: 10885.6). Total num frames: 24477696. Throughput: 0: 11002.3. Samples: 24478208. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:38:57,177][494436] Avg episode reward: [(0, '10958.900')] +[2026-06-04 12:38:57,183][495402] Saving new best policy, reward=10958.900! +[2026-06-04 12:38:57,657][495491] Updated weights for policy 0, policy_version 47840 (0.0014) +[2026-06-04 12:39:00,744][495491] Updated weights for policy 0, policy_version 47920 (0.0013) +[2026-06-04 12:39:02,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10922.7, 300 sec: 10885.6). Total num frames: 24543232. Throughput: 0: 11025.0. Samples: 24544256. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:39:02,177][494436] Avg episode reward: [(0, '10934.800')] +[2026-06-04 12:39:03,820][495491] Updated weights for policy 0, policy_version 47987 (0.0012) +[2026-06-04 12:39:06,396][495402] Signal inference workers to stop experience collection... (2250 times) +[2026-06-04 12:39:06,424][495491] InferenceWorker_p0-w0: stopping experience collection (2250 times) +[2026-06-04 12:39:06,529][495402] Signal inference workers to resume experience collection... (2250 times) +[2026-06-04 12:39:06,529][495491] InferenceWorker_p0-w0: resuming experience collection (2250 times) +[2026-06-04 12:39:06,924][495491] Updated weights for policy 0, policy_version 48056 (0.0011) +[2026-06-04 12:39:07,176][494436] Fps is (10 sec: 13107.2, 60 sec: 10922.7, 300 sec: 10941.2). Total num frames: 24608768. Throughput: 0: 10991.0. Samples: 24609280. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 12:39:07,177][494436] Avg episode reward: [(0, '10764.700')] +[2026-06-04 12:39:10,022][495491] Updated weights for policy 0, policy_version 48128 (0.0011) +[2026-06-04 12:39:12,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10922.6, 300 sec: 10885.6). Total num frames: 24641536. Throughput: 0: 11002.3. Samples: 24642560. Policy #0 lag: (min: 63.0, avg: 66.5, max: 127.0) +[2026-06-04 12:39:12,177][494436] Avg episode reward: [(0, '10762.800')] +[2026-06-04 12:39:15,449][495491] Updated weights for policy 0, policy_version 48208 (0.0012) +[2026-06-04 12:39:17,176][494436] Fps is (10 sec: 9830.4, 60 sec: 10922.6, 300 sec: 10885.6). Total num frames: 24707072. Throughput: 0: 11002.3. Samples: 24708096. Policy #0 lag: (min: 63.0, avg: 66.5, max: 127.0) +[2026-06-04 12:39:17,177][494436] Avg episode reward: [(0, '10891.050')] +[2026-06-04 12:39:18,873][495491] Updated weights for policy 0, policy_version 48304 (0.0012) +[2026-06-04 12:39:22,070][495491] Updated weights for policy 0, policy_version 48371 (0.0010) +[2026-06-04 12:39:22,176][494436] Fps is (10 sec: 12288.0, 60 sec: 10922.7, 300 sec: 10941.2). Total num frames: 24764416. Throughput: 0: 10945.4. Samples: 24772096. Policy #0 lag: (min: 63.0, avg: 66.5, max: 127.0) +[2026-06-04 12:39:22,177][494436] Avg episode reward: [(0, '11000.200')] +[2026-06-04 12:39:22,218][495402] Saving new best policy, reward=11000.200! +[2026-06-04 12:39:25,199][495491] Updated weights for policy 0, policy_version 48446 (0.0011) +[2026-06-04 12:39:27,179][494436] Fps is (10 sec: 9828.0, 60 sec: 10922.2, 300 sec: 10885.6). Total num frames: 24805376. Throughput: 0: 10978.9. Samples: 24805376. Policy #0 lag: (min: 63.0, avg: 66.5, max: 127.0) +[2026-06-04 12:39:27,180][494436] Avg episode reward: [(0, '10991.250')] +[2026-06-04 12:39:28,194][495491] Updated weights for policy 0, policy_version 48512 (0.0014) +[2026-06-04 12:39:32,176][494436] Fps is (10 sec: 10649.6, 60 sec: 10922.6, 300 sec: 10885.6). Total num frames: 24870912. Throughput: 0: 10934.1. Samples: 24869376. Policy #0 lag: (min: 63.0, avg: 66.5, max: 127.0) +[2026-06-04 12:39:32,177][494436] Avg episode reward: [(0, '11267.900')] +[2026-06-04 12:39:32,182][495402] Saving new best policy, reward=11267.900! +[2026-06-04 12:39:33,756][495491] Updated weights for policy 0, policy_version 48592 (0.0014) +[2026-06-04 12:39:37,176][494436] Fps is (10 sec: 11471.8, 60 sec: 10786.1, 300 sec: 10885.6). Total num frames: 24920064. Throughput: 0: 10843.1. Samples: 24933376. Policy #0 lag: (min: 63.0, avg: 66.5, max: 127.0) +[2026-06-04 12:39:37,177][494436] Avg episode reward: [(0, '10819.450')] +[2026-06-04 12:39:37,232][495491] Updated weights for policy 0, policy_version 48689 (0.0013) +[2026-06-04 12:39:40,230][495491] Updated weights for policy 0, policy_version 48753 (0.0011) +[2026-06-04 12:39:42,176][494436] Fps is (10 sec: 9830.3, 60 sec: 10922.6, 300 sec: 10885.6). Total num frames: 24969216. Throughput: 0: 10843.0. Samples: 24966144. Policy #0 lag: (min: 63.0, avg: 66.5, max: 127.0) +[2026-06-04 12:39:42,177][494436] Avg episode reward: [(0, '10896.650')] +[2026-06-04 12:39:43,332][495491] Updated weights for policy 0, policy_version 48823 (0.0012) +[2026-06-04 12:39:45,945][495402] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 +[2026-06-04 12:39:45,947][495402] Stopping Batcher_0... +[2026-06-04 12:39:45,948][495402] Loop batcher_evt_loop terminating... +[2026-06-04 12:39:45,947][495492] Stopping RolloutWorker_w0... +[2026-06-04 12:39:45,948][495492] Loop rollout_proc0_evt_loop terminating... +[2026-06-04 12:39:45,948][494436] Component RolloutWorker_w0 stopped! +[2026-06-04 12:39:45,949][494436] Component Batcher_0 stopped! +[2026-06-04 12:39:46,033][495491] Weights refcount: 2 0 +[2026-06-04 12:39:46,035][495491] Stopping InferenceWorker_p0-w0... +[2026-06-04 12:39:46,035][495491] Loop inference_proc0-0_evt_loop terminating... +[2026-06-04 12:39:46,035][494436] Component InferenceWorker_p0-w0 stopped! +[2026-06-04 12:39:46,039][495402] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 +[2026-06-04 12:39:46,041][495402] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride4_seed13/checkpoint_p0/checkpoint_000048864_25018368.pth... +[2026-06-04 12:39:46,169][495402] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 +[2026-06-04 12:39:46,170][495402] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride4_seed13/checkpoint_p0/checkpoint_000048880_25026560.pth... +[2026-06-04 12:39:46,193][495402] Removing results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_fixed_l4_stride4_seed13/checkpoint_p0/checkpoint_000009792_5013504.pth +[2026-06-04 12:39:46,198][495402] Stopping LearnerWorker_p0... +[2026-06-04 12:39:46,198][495402] Loop learner_proc0_evt_loop terminating... +[2026-06-04 12:39:46,198][494436] Component LearnerWorker_p0 stopped! +[2026-06-04 12:39:46,199][494436] Waiting for process learner_proc0 to stop... +[2026-06-04 12:39:47,939][494436] Waiting for process inference_proc0-0 to join... +[2026-06-04 12:39:47,940][494436] Waiting for process rollout_proc0 to join... +[2026-06-04 12:39:47,941][494436] Batcher 0 profile tree view: +batching: 1.5654, releasing_batches: 2.1089 +[2026-06-04 12:39:47,941][494436] InferenceWorker_p0-w0 profile tree view: wait_policy: 0.0051 - wait_policy_total: 1144.7197 -update_model: 9.3337 - weight_update: 0.0011 -one_step: 0.0033 - handle_policy_step: 95.4561 - deserialize: 1.9184, stack: 0.1101, obs_to_device_normalize: 19.4562, forward: 48.3523, prepare_outputs: 16.9260, send_messages: 3.2334 -[2026-06-02 23:01:34,974][512914] Learner 0 profile tree view: -misc: 0.0107, prepare_batch: 54.4859 -train: 338.2322 - epoch_init: 0.0607, minibatch_init: 3.0066, losses_postprocess: 69.1824, kl_divergence: 62.2140, update: 124.3682, after_optimizer: 29.4812 - calculate_losses: 46.1610 - losses_init: 0.0917, forward_head: 14.5497, bptt_initial: 0.4531, bptt: 0.4753, tail: 10.4631, advantages_returns: 3.3824, losses: 13.1208 -[2026-06-02 23:01:34,975][512914] RolloutWorker_w0 profile tree view: -wait_for_trajectories: 0.0348, enqueue_policy_requests: 6.9641, process_policy_outputs: 3.8605, env_step: 1183.0203, finalize_trajectories: 0.0772, complete_rollouts: 0.0700 -post_env_step: 10.4877 - process_env_step: 3.7531 -[2026-06-02 23:01:34,976][512914] Loop Runner_EvtLoop terminating... -[2026-06-02 23:01:34,977][512914] Runner profile tree view: -main_loop: 1420.9363 -[2026-06-02 23:01:34,977][512914] Collected {0: 25026560}, FPS: 17612.7 + wait_policy_total: 2104.4563 +update_model: 11.5382 + weight_update: 0.0012 +one_step: 0.0032 + handle_policy_step: 143.8890 + deserialize: 3.1601, stack: 0.1305, obs_to_device_normalize: 30.5639, forward: 72.6443, prepare_outputs: 25.0329, send_messages: 4.8515 +[2026-06-04 12:39:47,941][494436] Learner 0 profile tree view: +misc: 0.0171, prepare_batch: 68.0565 +train: 438.3097 + epoch_init: 0.1024, minibatch_init: 4.6048, losses_postprocess: 89.2762, kl_divergence: 84.6274, update: 158.4499, after_optimizer: 28.8416 + calculate_losses: 67.1571 + losses_init: 0.1513, forward_head: 23.0509, bptt_initial: 0.5406, bptt: 0.6519, tail: 15.8490, advantages_returns: 4.8231, losses: 17.5425 +[2026-06-04 12:39:47,942][494436] RolloutWorker_w0 profile tree view: +wait_for_trajectories: 0.0709, enqueue_policy_requests: 18.8285, process_policy_outputs: 8.0430, env_step: 2131.7724, finalize_trajectories: 0.1685, complete_rollouts: 0.1405 +post_env_step: 21.7975 + process_env_step: 7.1314 +[2026-06-04 12:39:47,943][494436] Loop Runner_EvtLoop terminating... +[2026-06-04 12:39:47,943][494436] Runner profile tree view: +main_loop: 2518.5945 +[2026-06-04 12:39:47,943][494436] Collected {0: 25026560}, FPS: 9936.7