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22590.0, "return": 22590.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 243, "episode_idx": 17, "latency_raw_frames": 4, "length": 4555, "raw_frames": 18220, "raw_return": 8875.0, "return": 8875.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 96, "episode_idx": 17, "latency_raw_frames": 4, "length": 5393, "raw_frames": 21572, "raw_return": 9530.0, "return": 9530.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 122, "episode_idx": 16, "latency_raw_frames": 4, "length": 6755, "raw_frames": 27020, "raw_return": 12650.0, "return": 12650.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 109, "episode_idx": 19, "latency_raw_frames": 4, "length": 4972, "raw_frames": 19888, "raw_return": 9380.0, "return": 9380.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 193, "episode_idx": 21, "latency_raw_frames": 4, "length": 3913, "raw_frames": 15652, "raw_return": 7385.0, "return": 7385.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 329, "episode_idx": 18, "latency_raw_frames": 4, "length": 6066, "raw_frames": 24264, "raw_return": 13205.0, "return": 13205.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 81, "episode_idx": 19, "latency_raw_frames": 4, "length": 6246, "raw_frames": 24984, "raw_return": 12060.0, "return": 12060.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 283, "episode_idx": 20, "latency_raw_frames": 4, "length": 6083, "raw_frames": 24332, "raw_return": 11760.0, "return": 11760.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 448, "episode_idx": 19, "latency_raw_frames": 4, "length": 3995, "raw_frames": 15980, "raw_return": 7500.0, "return": 7500.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 356, "episode_idx": 15, "latency_raw_frames": 4, "length": 5336, "raw_frames": 21344, "raw_return": 10380.0, "return": 10380.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 480, "episode_idx": 18, "latency_raw_frames": 4, "length": 7238, "raw_frames": 28952, "raw_return": 15450.0, "return": 15450.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 237, "episode_idx": 19, "latency_raw_frames": 4, "length": 5602, "raw_frames": 22408, "raw_return": 10300.0, "return": 10300.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 244, "episode_idx": 20, "latency_raw_frames": 4, "length": 4747, "raw_frames": 18988, "raw_return": 8710.0, "return": 8710.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 446, "episode_idx": 20, "latency_raw_frames": 4, "length": 3795, "raw_frames": 15180, "raw_return": 7185.0, "return": 7185.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 23, "episode_idx": 17, "latency_raw_frames": 4, "length": 6142, "raw_frames": 24568, "raw_return": 13340.0, "return": 13340.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 219, "episode_idx": 19, "latency_raw_frames": 4, "length": 4514, "raw_frames": 18056, "raw_return": 8185.0, "return": 8185.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 441, "episode_idx": 17, "latency_raw_frames": 4, "length": 4244, "raw_frames": 16976, "raw_return": 7390.0, "return": 7390.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 400, "episode_idx": 17, "latency_raw_frames": 4, "length": 7443, "raw_frames": 29772, "raw_return": 17660.0, "return": 17660.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 493, "episode_idx": 17, "latency_raw_frames": 4, "length": 5912, "raw_frames": 23648, "raw_return": 12360.0, "return": 12360.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 129, "episode_idx": 16, "latency_raw_frames": 4, "length": 5524, "raw_frames": 22096, "raw_return": 9785.0, "return": 9785.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} diff --git a/factor_sweeps/demon_attack/context_window/train/factor_sweep:demon_attack:frame_stack:fixed_l4:fs4:obs15:stride4:seed11/git.diff b/factor_sweeps/demon_attack/context_window/train/factor_sweep:demon_attack:frame_stack:fixed_l4:fs4:obs15:stride4:seed11/git.diff index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..6b0a28eb57ace58363ce8ce0aafa46e1b6cc8c35 100644 --- a/factor_sweeps/demon_attack/context_window/train/factor_sweep:demon_attack:frame_stack:fixed_l4:fs4:obs15:stride4:seed11/git.diff +++ b/factor_sweeps/demon_attack/context_window/train/factor_sweep:demon_attack:frame_stack:fixed_l4:fs4:obs15:stride4:seed11/git.diff @@ -0,0 +1,7 @@ +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/context_window/train/factor_sweep:demon_attack:frame_stack:fixed_l4:fs4:obs15:stride4:seed11/sf_log.txt b/factor_sweeps/demon_attack/context_window/train/factor_sweep:demon_attack:frame_stack:fixed_l4:fs4:obs15:stride4:seed11/sf_log.txt index 61ed8a15574bb41005fd6c419efa735e003940ea..e6bc87c119d2c8a16fa829cc87d1eab6c303af9b 100644 --- a/factor_sweeps/demon_attack/context_window/train/factor_sweep:demon_attack:frame_stack:fixed_l4:fs4:obs15:stride4:seed11/sf_log.txt +++ b/factor_sweeps/demon_attack/context_window/train/factor_sweep:demon_attack:frame_stack:fixed_l4:fs4:obs15:stride4:seed11/sf_log.txt @@ -1,26 +1,27 @@ -[2026-06-02 21:26:24,283][456401] Saving configuration to results/checkpoints_factor_sweeps/demon_attack/context_window/demon_attack_frame_stack_fixed_l4_fs4_seed11/config.json... -[2026-06-02 21:26:24,317][456401] Using GPUs [0] for process 0 (actually maps to GPUs [4]) -[2026-06-02 21:26:24,318][456401] Rollout worker 0 uses device cuda:0 -[2026-06-02 21:26:25,197][456401] Using GPUs [0] for process 0 (actually maps to GPUs [4]) -[2026-06-02 21:26:25,198][456401] InferenceWorker_p0-w0: min num requests: 1 -[2026-06-02 21:26:25,204][456401] Using GPUs [0] for process 0 (actually maps to GPUs [4]) -[2026-06-02 21:26:25,205][456401] Starting all processes... -[2026-06-02 21:26:25,205][456401] Starting process learner_proc0 -[2026-06-02 21:26:26,244][456401] Starting all processes... -[2026-06-02 21:26:26,249][456401] Starting process inference_proc0-0 -[2026-06-02 21:26:26,249][456401] Starting process rollout_proc0 -[2026-06-02 21:26:26,773][457535] Using GPUs [0] for process 0 (actually maps to GPUs [4]) -[2026-06-02 21:26:26,773][457535] Set environment var CUDA_VISIBLE_DEVICES to '4' (GPU indices [0]) for learning process 0 -[2026-06-02 21:26:26,773][457535] Num visible devices: 1 -[2026-06-02 21:26:26,773][457535] Setting fixed seed 11 -[2026-06-02 21:26:26,774][457535] Using GPUs [0] for process 0 (actually maps to GPUs [4]) -[2026-06-02 21:26:26,774][457535] Initializing actor-critic model on device cuda:0 -[2026-06-02 21:26:26,775][457535] RunningMeanStd input shape: (4, 84, 84) -[2026-06-02 21:26:26,803][457535] RunningMeanStd input shape: (1,) -[2026-06-02 21:26:26,811][457535] ConvEncoder: input_channels=4 -[2026-06-02 21:26:26,870][457535] Conv encoder output size: 512 -[2026-06-02 21:26:26,872][457535] Created Actor Critic model with architecture: -[2026-06-02 21:26:26,872][457535] ActorCriticSharedWeights( +[2026-06-04 06:29:06,376][65146] Saving configuration to results/checkpoints_factor_sweeps/demon_attack/context_window/demon_attack_frame_stack_fixed_l4_fs4_seed11/config.json... +[2026-06-04 06:29:06,442][65146] Using GPUs [0] for process 0 (actually maps to GPUs [1]) +[2026-06-04 06:29:06,443][65146] Rollout worker 0 uses device cuda:0 +[2026-06-04 06:29:09,177][65146] Using GPUs [0] for process 0 (actually maps to GPUs [1]) +[2026-06-04 06:29:09,179][65146] InferenceWorker_p0-w0: min num requests: 1 +[2026-06-04 06:29:09,187][65146] Using GPUs [0] for process 0 (actually maps to GPUs [1]) +[2026-06-04 06:29:09,190][65146] Starting all processes... +[2026-06-04 06:29:09,190][65146] Starting process learner_proc0 +[2026-06-04 06:29:11,769][65146] Components not started: Batcher_0, LearnerWorker_p0, InferenceWorker_p0-w0, RolloutWorker_w0, wait_time=351.6 seconds +[2026-06-04 06:29:11,770][65146] Starting all processes... +[2026-06-04 06:29:11,776][65146] Starting process inference_proc0-0 +[2026-06-04 06:29:11,777][65146] Starting process rollout_proc0 +[2026-06-04 06:29:13,267][74443] Using GPUs [0] for process 0 (actually maps to GPUs [1]) +[2026-06-04 06:29:13,267][74443] Set environment var CUDA_VISIBLE_DEVICES to '1' (GPU indices [0]) for learning process 0 +[2026-06-04 06:29:13,268][74443] Num visible devices: 1 +[2026-06-04 06:29:13,269][74443] Setting fixed seed 11 +[2026-06-04 06:29:13,271][74443] Using GPUs [0] for process 0 (actually maps to GPUs [1]) +[2026-06-04 06:29:13,271][74443] Initializing actor-critic model on device cuda:0 +[2026-06-04 06:29:13,271][74443] RunningMeanStd input shape: (4, 84, 84) +[2026-06-04 06:29:13,285][74443] RunningMeanStd input shape: (1,) +[2026-06-04 06:29:13,298][74443] ConvEncoder: input_channels=4 +[2026-06-04 06:29:13,413][74443] Conv encoder output size: 512 +[2026-06-04 06:29:13,415][74443] Created Actor Critic model with architecture: +[2026-06-04 06:29:13,415][74443] ActorCriticSharedWeights( (obs_normalizer): ObservationNormalizer( (running_mean_std): RunningMeanStdDictInPlace( (running_mean_std): ModuleDict( @@ -61,1719 +62,2114 @@ (distribution_linear): Linear(in_features=512, out_features=6, bias=True) ) ) -[2026-06-02 21:26:26,874][457535] Using optimizer -[2026-06-02 21:26:27,571][457535] No checkpoints found -[2026-06-02 21:26:27,571][457535] Did not load from checkpoint, starting from scratch! -[2026-06-02 21:26:27,571][457535] Initialized policy 0 weights for model version 0 -[2026-06-02 21:26:27,574][457535] LearnerWorker_p0 finished initialization! -[2026-06-02 21:26:27,574][457535] Using GPUs [0] for process 0 (actually maps to GPUs [4]) -[2026-06-02 21:26:27,936][457607] 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 21:26:27,936][457607] Using GPUs [0] for process 0 (actually maps to GPUs [4]) -[2026-06-02 21:26:27,936][457607] Set environment var CUDA_VISIBLE_DEVICES to '4' (GPU indices [0]) for actor process 0 -[2026-06-02 21:26:27,936][457607] Num visible devices: 1 -[2026-06-02 21:26:27,946][457608] Using GPUs [0] for process 0 (actually maps to GPUs [4]) -[2026-06-02 21:26:27,946][457608] Set environment var CUDA_VISIBLE_DEVICES to '4' (GPU indices [0]) for inference process 0 -[2026-06-02 21:26:27,946][457608] Num visible devices: 1 -[2026-06-02 21:26:27,947][457608] RunningMeanStd input shape: (4, 84, 84) -[2026-06-02 21:26:27,975][457608] RunningMeanStd input shape: (1,) -[2026-06-02 21:26:27,982][457608] ConvEncoder: input_channels=4 -[2026-06-02 21:26:28,043][457608] Conv encoder output size: 512 -[2026-06-02 21:26:28,047][456401] Inference worker 0-0 is ready! -[2026-06-02 21:26:28,048][456401] All inference workers are ready! Signal rollout workers to start! -[2026-06-02 21:26:28,049][457607] EnvRunner 0-0 uses policy 0 -[2026-06-02 21:26:30,496][457535] Signal inference workers to stop experience collection... -[2026-06-02 21:26:30,523][457608] InferenceWorker_p0-w0: stopping experience collection -[2026-06-02 21:26:31,288][456401] 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 21:26:31,592][457535] Signal inference workers to resume experience collection... -[2026-06-02 21:26:31,593][457608] InferenceWorker_p0-w0: resuming experience collection -[2026-06-02 21:26:33,306][457608] Updated weights for policy 0, policy_version 66 (0.0034) -[2026-06-02 21:26:33,808][457608] Updated weights for policy 0, policy_version 127 (0.0010) -[2026-06-02 21:26:35,687][457608] Updated weights for policy 0, policy_version 190 (0.0010) -[2026-06-02 21:26:36,288][456401] Fps is (10 sec: 19660.9, 60 sec: 19660.9, 300 sec: 19660.9). Total num frames: 98304. Throughput: 0: 8396.8. Samples: 76800. Policy #0 lag: (min: 53.0, avg: 61.5, max: 117.0) -[2026-06-02 21:26:36,289][456401] Avg episode reward: [(0, '40.000')] -[2026-06-02 21:26:37,639][457608] Updated weights for policy 0, policy_version 256 (0.0010) -[2026-06-02 21:26:39,541][457608] Updated weights for policy 0, policy_version 316 (0.0010) -[2026-06-02 21:26:41,288][456401] Fps is (10 sec: 18022.5, 60 sec: 18022.5, 300 sec: 18022.5). Total num frames: 180224. Throughput: 0: 14540.9. Samples: 180224. Policy #0 lag: (min: 61.0, avg: 67.2, max: 125.0) -[2026-06-02 21:26:41,289][456401] Avg episode reward: [(0, '51.667')] -[2026-06-02 21:26:41,517][457608] Updated weights for policy 0, policy_version 380 (0.0009) -[2026-06-02 21:26:41,552][457535] Saving new best policy, reward=51.667! -[2026-06-02 21:26:43,594][457608] Updated weights for policy 0, policy_version 447 (0.0007) -[2026-06-02 21:26:45,187][456401] Heartbeat connected on Batcher_0 -[2026-06-02 21:26:45,191][456401] Heartbeat connected on LearnerWorker_p0 -[2026-06-02 21:26:45,209][456401] Heartbeat connected on RolloutWorker_w0 -[2026-06-02 21:26:45,237][456401] Heartbeat connected on InferenceWorker_p0-w0 -[2026-06-02 21:26:45,835][457608] Updated weights for policy 0, policy_version 510 (0.0010) -[2026-06-02 21:26:46,288][456401] Fps is (10 sec: 16384.0, 60 sec: 17476.3, 300 sec: 17476.3). Total num frames: 262144. Throughput: 0: 15837.9. Samples: 272384. Policy #0 lag: (min: 18.0, avg: 22.4, max: 82.0) -[2026-06-02 21:26:46,289][456401] Avg episode reward: [(0, '75.625')] -[2026-06-02 21:26:46,291][457535] Saving new best policy, reward=75.625! -[2026-06-02 21:26:47,921][457608] Updated weights for policy 0, policy_version 572 (0.0009) -[2026-06-02 21:26:51,288][456401] Fps is (10 sec: 14745.4, 60 sec: 16383.9, 300 sec: 16383.9). Total num frames: 327680. Throughput: 0: 14156.7. Samples: 317952. Policy #0 lag: (min: 4.0, avg: 8.5, max: 68.0) -[2026-06-02 21:26:51,289][456401] Avg episode reward: [(0, '102.200')] -[2026-06-02 21:26:51,293][457535] Saving new best policy, reward=102.200! -[2026-06-02 21:26:51,976][457608] Updated weights for policy 0, policy_version 641 (0.0009) -[2026-06-02 21:26:54,052][457608] Updated weights for policy 0, policy_version 705 (0.0009) -[2026-06-02 21:26:56,288][456401] Fps is (10 sec: 13107.2, 60 sec: 15728.6, 300 sec: 15728.6). Total num frames: 393216. Throughput: 0: 14909.4. Samples: 407552. Policy #0 lag: (min: 41.0, avg: 44.6, max: 105.0) -[2026-06-02 21:26:56,289][456401] Avg episode reward: [(0, '130.750')] -[2026-06-02 21:26:56,418][457608] Updated weights for policy 0, policy_version 786 (0.0009) -[2026-06-02 21:26:56,501][457535] Saving new best policy, reward=130.750! -[2026-06-02 21:26:58,690][457608] Updated weights for policy 0, policy_version 850 (0.0010) -[2026-06-02 21:27:01,064][457608] Updated weights for policy 0, policy_version 928 (0.0011) -[2026-06-02 21:27:01,288][456401] Fps is (10 sec: 15564.9, 60 sec: 16110.9, 300 sec: 16110.9). Total num frames: 483328. Throughput: 0: 15291.7. Samples: 493568. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 21:27:01,289][456401] Avg episode reward: [(0, '130.900')] -[2026-06-02 21:27:01,353][457535] Saving new best policy, reward=130.900! -[2026-06-02 21:27:03,225][457608] Updated weights for policy 0, policy_version 978 (0.0010) -[2026-06-02 21:27:05,548][457535] Signal inference workers to stop experience collection... (50 times) -[2026-06-02 21:27:05,549][457608] Updated weights for policy 0, policy_version 1056 (0.0010) -[2026-06-02 21:27:05,578][457608] InferenceWorker_p0-w0: stopping experience collection (50 times) -[2026-06-02 21:27:05,664][457535] Signal inference workers to resume experience collection... (50 times) -[2026-06-02 21:27:05,664][457608] InferenceWorker_p0-w0: resuming experience collection (50 times) -[2026-06-02 21:27:06,288][456401] Fps is (10 sec: 16384.0, 60 sec: 15915.9, 300 sec: 15915.9). Total num frames: 557056. Throughput: 0: 14350.6. Samples: 537088. Policy #0 lag: (min: 12.0, avg: 17.0, max: 76.0) -[2026-06-02 21:27:06,289][456401] Avg episode reward: [(0, '158.350')] -[2026-06-02 21:27:06,293][457535] Saving new best policy, reward=158.350! -[2026-06-02 21:27:07,788][457608] Updated weights for policy 0, policy_version 1106 (0.0010) -[2026-06-02 21:27:10,207][457608] Updated weights for policy 0, policy_version 1186 (0.0009) -[2026-06-02 21:27:11,288][456401] Fps is (10 sec: 13926.4, 60 sec: 15564.8, 300 sec: 15564.8). Total num frames: 622592. Throughput: 0: 14720.0. Samples: 623616. Policy #0 lag: (min: 10.0, avg: 14.5, max: 74.0) -[2026-06-02 21:27:11,289][456401] Avg episode reward: [(0, '173.150')] -[2026-06-02 21:27:11,292][457535] Saving new best policy, reward=173.150! -[2026-06-02 21:27:12,526][457608] Updated weights for policy 0, policy_version 1250 (0.0010) -[2026-06-02 21:27:14,954][457608] Updated weights for policy 0, policy_version 1337 (0.0009) -[2026-06-02 21:27:16,288][456401] Fps is (10 sec: 13107.2, 60 sec: 15291.7, 300 sec: 15291.7). Total num frames: 688128. Throughput: 0: 14995.9. Samples: 709632. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 21:27:16,289][456401] Avg episode reward: [(0, '167.400')] -[2026-06-02 21:27:17,269][457608] Updated weights for policy 0, policy_version 1401 (0.0010) -[2026-06-02 21:27:19,570][457608] Updated weights for policy 0, policy_version 1472 (0.0010) -[2026-06-02 21:27:21,288][456401] Fps is (10 sec: 13107.1, 60 sec: 15073.3, 300 sec: 15073.3). Total num frames: 753664. Throughput: 0: 15052.8. Samples: 754176. Policy #0 lag: (min: 13.0, avg: 17.5, max: 77.0) -[2026-06-02 21:27:21,289][456401] Avg episode reward: [(0, '169.450')] -[2026-06-02 21:27:23,551][457608] Updated weights for policy 0, policy_version 1537 (0.0011) -[2026-06-02 21:27:25,771][457608] Updated weights for policy 0, policy_version 1601 (0.0009) -[2026-06-02 21:27:26,288][456401] Fps is (10 sec: 16384.0, 60 sec: 15490.3, 300 sec: 15490.3). Total num frames: 851968. Throughput: 0: 14700.1. Samples: 841728. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-02 21:27:26,289][456401] Avg episode reward: [(0, '186.050')] -[2026-06-02 21:27:26,293][457535] Saving new best policy, reward=186.050! -[2026-06-02 21:27:28,296][457608] Updated weights for policy 0, policy_version 1712 (0.0011) -[2026-06-02 21:27:30,768][457608] Updated weights for policy 0, policy_version 1782 (0.0010) -[2026-06-02 21:27:31,288][456401] Fps is (10 sec: 16384.1, 60 sec: 15291.7, 300 sec: 15291.7). Total num frames: 917504. Throughput: 0: 14529.4. Samples: 926208. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) -[2026-06-02 21:27:31,289][456401] Avg episode reward: [(0, '175.350')] -[2026-06-02 21:27:33,174][457608] Updated weights for policy 0, policy_version 1856 (0.0010) -[2026-06-02 21:27:35,374][457608] Updated weights for policy 0, policy_version 1920 (0.0009) -[2026-06-02 21:27:36,288][456401] Fps is (10 sec: 13107.2, 60 sec: 14745.6, 300 sec: 15123.7). Total num frames: 983040. Throughput: 0: 14518.1. Samples: 971264. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) -[2026-06-02 21:27:36,289][456401] Avg episode reward: [(0, '178.950')] -[2026-06-02 21:27:39,512][457608] Updated weights for policy 0, policy_version 1987 (0.0010) -[2026-06-02 21:27:41,288][456401] Fps is (10 sec: 13107.2, 60 sec: 14472.5, 300 sec: 14979.7). Total num frames: 1048576. Throughput: 0: 14392.9. Samples: 1055232. Policy #0 lag: (min: 12.0, avg: 17.1, max: 76.0) -[2026-06-02 21:27:41,289][456401] Avg episode reward: [(0, '193.450')] -[2026-06-02 21:27:41,292][457535] Saving new best policy, reward=193.450! -[2026-06-02 21:27:41,716][457608] Updated weights for policy 0, policy_version 2064 (0.0010) -[2026-06-02 21:27:44,144][457535] Signal inference workers to stop experience collection... (100 times) -[2026-06-02 21:27:44,175][457608] InferenceWorker_p0-w0: stopping experience collection (100 times) -[2026-06-02 21:27:44,248][457535] Signal inference workers to resume experience collection... (100 times) -[2026-06-02 21:27:44,248][457608] InferenceWorker_p0-w0: resuming experience collection (100 times) -[2026-06-02 21:27:44,431][457608] Updated weights for policy 0, policy_version 2165 (0.0013) -[2026-06-02 21:27:46,288][456401] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14854.8). Total num frames: 1114112. Throughput: 0: 14461.2. Samples: 1144320. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 21:27:46,289][456401] Avg episode reward: [(0, '195.450')] -[2026-06-02 21:27:46,498][457535] Saving new best policy, reward=195.450! -[2026-06-02 21:27:46,729][457608] Updated weights for policy 0, policy_version 2235 (0.0011) -[2026-06-02 21:27:49,033][457608] Updated weights for policy 0, policy_version 2304 (0.0010) -[2026-06-02 21:27:51,288][456401] Fps is (10 sec: 15564.7, 60 sec: 14609.1, 300 sec: 15052.8). Total num frames: 1204224. Throughput: 0: 14404.2. Samples: 1185280. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-02 21:27:51,289][456401] Avg episode reward: [(0, '188.150')] -[2026-06-02 21:27:53,418][457608] Updated weights for policy 0, policy_version 2400 (0.0010) -[2026-06-02 21:27:55,734][457608] Updated weights for policy 0, policy_version 2466 (0.0009) -[2026-06-02 21:27:56,288][456401] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 15034.7). Total num frames: 1277952. Throughput: 0: 14404.3. Samples: 1271808. Policy #0 lag: (min: 7.0, avg: 11.0, max: 71.0) -[2026-06-02 21:27:56,288][456401] Avg episode reward: [(0, '192.900')] -[2026-06-02 21:27:58,010][457608] Updated weights for policy 0, policy_version 2544 (0.0010) -[2026-06-02 21:28:00,418][457608] Updated weights for policy 0, policy_version 2613 (0.0011) -[2026-06-02 21:28:01,288][456401] Fps is (10 sec: 13926.5, 60 sec: 14336.0, 300 sec: 14927.6). Total num frames: 1343488. Throughput: 0: 14392.9. Samples: 1357312. Policy #0 lag: (min: 7.0, avg: 11.5, max: 71.0) -[2026-06-02 21:28:01,289][456401] Avg episode reward: [(0, '202.850')] -[2026-06-02 21:28:01,293][457535] Saving new best policy, reward=202.850! -[2026-06-02 21:28:02,765][457608] Updated weights for policy 0, policy_version 2685 (0.0010) -[2026-06-02 21:28:06,288][456401] Fps is (10 sec: 13107.2, 60 sec: 14199.5, 300 sec: 14831.8). Total num frames: 1409024. Throughput: 0: 14392.9. Samples: 1401856. Policy #0 lag: (min: 1.0, avg: 5.3, max: 65.0) -[2026-06-02 21:28:06,289][456401] Avg episode reward: [(0, '187.700')] -[2026-06-02 21:28:06,866][457608] Updated weights for policy 0, policy_version 2754 (0.0010) -[2026-06-02 21:28:09,138][457608] Updated weights for policy 0, policy_version 2818 (0.0010) -[2026-06-02 21:28:11,288][456401] Fps is (10 sec: 13107.1, 60 sec: 14199.5, 300 sec: 14745.6). Total num frames: 1474560. Throughput: 0: 14347.4. Samples: 1487360. Policy #0 lag: (min: 15.0, avg: 19.7, max: 79.0) -[2026-06-02 21:28:11,289][456401] Avg episode reward: [(0, '191.400')] -[2026-06-02 21:28:11,433][457608] Updated weights for policy 0, policy_version 2896 (0.0010) -[2026-06-02 21:28:13,838][457608] Updated weights for policy 0, policy_version 2976 (0.0010) -[2026-06-02 21:28:16,184][457608] Updated weights for policy 0, policy_version 3056 (0.0010) -[2026-06-02 21:28:16,288][456401] Fps is (10 sec: 15564.7, 60 sec: 14609.0, 300 sec: 14901.6). Total num frames: 1564672. Throughput: 0: 14404.2. Samples: 1574400. Policy #0 lag: (min: 9.0, avg: 13.7, max: 73.0) -[2026-06-02 21:28:16,289][456401] Avg episode reward: [(0, '209.000')] -[2026-06-02 21:28:16,343][457535] Saving new best policy, reward=209.000! -[2026-06-02 21:28:18,420][457608] Updated weights for policy 0, policy_version 3125 (0.0010) -[2026-06-02 21:28:20,754][457608] Updated weights for policy 0, policy_version 3189 (0.0008) -[2026-06-02 21:28:21,288][456401] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 14894.5). Total num frames: 1638400. Throughput: 0: 14392.9. Samples: 1618944. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) -[2026-06-02 21:28:21,289][456401] Avg episode reward: [(0, '192.500')] -[2026-06-02 21:28:22,583][457535] Signal inference workers to stop experience collection... (150 times) -[2026-06-02 21:28:22,609][457608] InferenceWorker_p0-w0: stopping experience collection (150 times) -[2026-06-02 21:28:22,715][457535] Signal inference workers to resume experience collection... (150 times) -[2026-06-02 21:28:22,716][457608] InferenceWorker_p0-w0: resuming experience collection (150 times) -[2026-06-02 21:28:23,034][457608] Updated weights for policy 0, policy_version 3256 (0.0010) -[2026-06-02 21:28:25,256][457608] Updated weights for policy 0, policy_version 3321 (0.0010) -[2026-06-02 21:28:26,288][456401] Fps is (10 sec: 13926.6, 60 sec: 14199.5, 300 sec: 14816.8). Total num frames: 1703936. Throughput: 0: 14461.2. Samples: 1705984. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0) -[2026-06-02 21:28:26,289][456401] Avg episode reward: [(0, '179.550')] -[2026-06-02 21:28:27,348][457608] Updated weights for policy 0, policy_version 3379 (0.0009) -[2026-06-02 21:28:29,421][457608] Updated weights for policy 0, policy_version 3446 (0.0008) -[2026-06-02 21:28:31,288][456401] Fps is (10 sec: 13107.1, 60 sec: 14199.4, 300 sec: 14745.6). Total num frames: 1769472. Throughput: 0: 14540.8. Samples: 1798656. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 21:28:31,289][456401] Avg episode reward: [(0, '197.550')] -[2026-06-02 21:28:31,778][457608] Updated weights for policy 0, policy_version 3519 (0.0009) -[2026-06-02 21:28:34,005][457608] Updated weights for policy 0, policy_version 3584 (0.0010) -[2026-06-02 21:28:36,288][456401] Fps is (10 sec: 16383.9, 60 sec: 14745.6, 300 sec: 14942.2). Total num frames: 1867776. Throughput: 0: 14563.6. Samples: 1840640. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-02 21:28:36,289][456401] Avg episode reward: [(0, '184.000')] -[2026-06-02 21:28:38,000][457608] Updated weights for policy 0, policy_version 3652 (0.0009) -[2026-06-02 21:28:40,277][457608] Updated weights for policy 0, policy_version 3731 (0.0009) -[2026-06-02 21:28:41,288][456401] Fps is (10 sec: 16384.3, 60 sec: 14745.6, 300 sec: 14871.6). Total num frames: 1933312. Throughput: 0: 14700.1. Samples: 1933312. Policy #0 lag: (min: 15.0, avg: 20.8, max: 79.0) -[2026-06-02 21:28:41,289][456401] Avg episode reward: [(0, '199.050')] -[2026-06-02 21:28:42,675][457608] Updated weights for policy 0, policy_version 3824 (0.0010) -[2026-06-02 21:28:45,067][457608] Updated weights for policy 0, policy_version 3891 (0.0010) -[2026-06-02 21:28:46,288][456401] Fps is (10 sec: 13107.3, 60 sec: 14745.6, 300 sec: 14806.3). Total num frames: 1998848. Throughput: 0: 14688.7. Samples: 2018304. Policy #0 lag: (min: 14.0, avg: 18.6, max: 78.0) -[2026-06-02 21:28:46,289][456401] Avg episode reward: [(0, '206.150')] -[2026-06-02 21:28:47,393][457608] Updated weights for policy 0, policy_version 3958 (0.0010) -[2026-06-02 21:28:49,546][457608] Updated weights for policy 0, policy_version 4031 (0.0009) -[2026-06-02 21:28:51,288][456401] Fps is (10 sec: 13107.2, 60 sec: 14336.0, 300 sec: 14745.6). Total num frames: 2064384. Throughput: 0: 14734.2. Samples: 2064896. Policy #0 lag: (min: 31.0, avg: 35.9, max: 95.0) -[2026-06-02 21:28:51,288][456401] Avg episode reward: [(0, '201.900')] -[2026-06-02 21:28:53,610][457608] Updated weights for policy 0, policy_version 4112 (0.0010) -[2026-06-02 21:28:55,974][457608] Updated weights for policy 0, policy_version 4178 (0.0009) -[2026-06-02 21:28:56,288][456401] Fps is (10 sec: 15564.8, 60 sec: 14609.1, 300 sec: 14858.6). Total num frames: 2154496. Throughput: 0: 14768.4. Samples: 2151936. Policy #0 lag: (min: 39.0, avg: 43.0, max: 103.0) -[2026-06-02 21:28:56,289][456401] Avg episode reward: [(0, '199.300')] -[2026-06-02 21:28:58,265][457608] Updated weights for policy 0, policy_version 4256 (0.0010) -[2026-06-02 21:28:58,264][457535] Signal inference workers to stop experience collection... (200 times) -[2026-06-02 21:28:58,294][457608] InferenceWorker_p0-w0: stopping experience collection (200 times) -[2026-06-02 21:28:58,370][457535] Signal inference workers to resume experience collection... (200 times) -[2026-06-02 21:28:58,370][457608] InferenceWorker_p0-w0: resuming experience collection (200 times) -[2026-06-02 21:29:00,373][457608] Updated weights for policy 0, policy_version 4320 (0.0009) -[2026-06-02 21:29:01,288][456401] Fps is (10 sec: 16384.0, 60 sec: 14745.6, 300 sec: 14854.8). Total num frames: 2228224. Throughput: 0: 14802.5. Samples: 2240512. Policy #0 lag: (min: 43.0, avg: 48.2, max: 107.0) -[2026-06-02 21:29:01,289][456401] Avg episode reward: [(0, '223.850')] -[2026-06-02 21:29:01,292][457535] Saving new best policy, reward=223.850! -[2026-06-02 21:29:02,585][457608] Updated weights for policy 0, policy_version 4387 (0.0009) -[2026-06-02 21:29:04,780][457608] Updated weights for policy 0, policy_version 4450 (0.0010) -[2026-06-02 21:29:06,288][456401] Fps is (10 sec: 13926.4, 60 sec: 14745.6, 300 sec: 14798.5). Total num frames: 2293760. Throughput: 0: 14848.0. Samples: 2287104. Policy #0 lag: (min: 2.0, avg: 6.2, max: 66.0) -[2026-06-02 21:29:06,289][456401] Avg episode reward: [(0, '231.700')] -[2026-06-02 21:29:06,293][457535] Saving new best policy, reward=231.700! -[2026-06-02 21:29:07,116][457608] Updated weights for policy 0, policy_version 4528 (0.0010) -[2026-06-02 21:29:09,441][457608] Updated weights for policy 0, policy_version 4606 (0.0010) -[2026-06-02 21:29:11,288][456401] Fps is (10 sec: 13926.4, 60 sec: 14882.2, 300 sec: 14796.8). Total num frames: 2367488. Throughput: 0: 14848.0. Samples: 2374144. Policy #0 lag: (min: 53.0, avg: 56.4, max: 117.0) -[2026-06-02 21:29:11,289][456401] Avg episode reward: [(0, '219.550')] -[2026-06-02 21:29:13,290][457608] Updated weights for policy 0, policy_version 4673 (0.0009) -[2026-06-02 21:29:15,499][457608] Updated weights for policy 0, policy_version 4752 (0.0010) -[2026-06-02 21:29:16,288][456401] Fps is (10 sec: 16384.0, 60 sec: 14882.2, 300 sec: 14894.5). Total num frames: 2457600. Throughput: 0: 14836.7. Samples: 2466304. Policy #0 lag: (min: 5.0, avg: 10.2, max: 69.0) -[2026-06-02 21:29:16,289][456401] Avg episode reward: [(0, '228.000')] -[2026-06-02 21:29:17,816][457608] Updated weights for policy 0, policy_version 4832 (0.0009) -[2026-06-02 21:29:19,972][457608] Updated weights for policy 0, policy_version 4896 (0.0009) -[2026-06-02 21:29:21,288][456401] Fps is (10 sec: 15564.7, 60 sec: 14745.6, 300 sec: 14842.0). Total num frames: 2523136. Throughput: 0: 14939.0. Samples: 2512896. Policy #0 lag: (min: 5.0, avg: 10.2, max: 69.0) -[2026-06-02 21:29:21,289][456401] Avg episode reward: [(0, '252.050')] -[2026-06-02 21:29:21,293][457535] Saving new best policy, reward=252.050! -[2026-06-02 21:29:22,027][457608] Updated weights for policy 0, policy_version 4944 (0.0009) -[2026-06-02 21:29:24,194][457608] Updated weights for policy 0, policy_version 5010 (0.0009) -[2026-06-02 21:29:26,288][456401] Fps is (10 sec: 13926.2, 60 sec: 14882.1, 300 sec: 14839.2). Total num frames: 2596864. Throughput: 0: 14870.7. Samples: 2602496. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-02 21:29:26,289][456401] Avg episode reward: [(0, '255.250')] -[2026-06-02 21:29:26,365][457608] Updated weights for policy 0, policy_version 5090 (0.0009) -[2026-06-02 21:29:26,435][457535] Saving new best policy, reward=255.250! -[2026-06-02 21:29:28,553][457608] Updated weights for policy 0, policy_version 5171 (0.0010) -[2026-06-02 21:29:30,781][457608] Updated weights for policy 0, policy_version 5243 (0.0009) -[2026-06-02 21:29:31,288][456401] Fps is (10 sec: 16383.9, 60 sec: 15291.7, 300 sec: 14927.6). Total num frames: 2686976. Throughput: 0: 15064.1. Samples: 2696192. Policy #0 lag: (min: 0.0, avg: 5.0, max: 64.0) -[2026-06-02 21:29:31,289][456401] Avg episode reward: [(0, '234.150')] -[2026-06-02 21:29:32,752][457608] Updated weights for policy 0, policy_version 5304 (0.0006) -[2026-06-02 21:29:34,650][457535] Signal inference workers to stop experience collection... (250 times) -[2026-06-02 21:29:34,680][457608] InferenceWorker_p0-w0: stopping experience collection (250 times) -[2026-06-02 21:29:34,754][457535] Signal inference workers to resume experience collection... (250 times) -[2026-06-02 21:29:34,755][457608] InferenceWorker_p0-w0: resuming experience collection (250 times) -[2026-06-02 21:29:34,981][457608] Updated weights for policy 0, policy_version 5370 (0.0009) -[2026-06-02 21:29:36,288][456401] Fps is (10 sec: 15564.9, 60 sec: 14745.6, 300 sec: 14878.4). Total num frames: 2752512. Throughput: 0: 15109.7. Samples: 2744832. Policy #0 lag: (min: 15.0, avg: 20.5, max: 79.0) -[2026-06-02 21:29:36,289][456401] Avg episode reward: [(0, '237.500')] -[2026-06-02 21:29:37,178][457608] Updated weights for policy 0, policy_version 5440 (0.0010) -[2026-06-02 21:29:39,368][457608] Updated weights for policy 0, policy_version 5504 (0.0009) -[2026-06-02 21:29:41,288][456401] Fps is (10 sec: 14745.6, 60 sec: 15018.6, 300 sec: 14918.1). Total num frames: 2834432. Throughput: 0: 15223.4. Samples: 2836992. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0) -[2026-06-02 21:29:41,289][456401] Avg episode reward: [(0, '231.500')] -[2026-06-02 21:29:41,471][457608] Updated weights for policy 0, policy_version 5568 (0.0009) -[2026-06-02 21:29:43,546][457608] Updated weights for policy 0, policy_version 5632 (0.0009) -[2026-06-02 21:29:46,288][456401] Fps is (10 sec: 16384.2, 60 sec: 15291.7, 300 sec: 14955.7). Total num frames: 2916352. Throughput: 0: 15314.5. Samples: 2929664. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0) -[2026-06-02 21:29:46,288][456401] Avg episode reward: [(0, '261.700')] -[2026-06-02 21:29:46,292][457535] Saving new best policy, reward=261.700! -[2026-06-02 21:29:47,185][457608] Updated weights for policy 0, policy_version 5698 (0.0010) -[2026-06-02 21:29:49,497][457608] Updated weights for policy 0, policy_version 5792 (0.0009) -[2026-06-02 21:29:51,288][456401] Fps is (10 sec: 14745.7, 60 sec: 15291.7, 300 sec: 14909.4). Total num frames: 2981888. Throughput: 0: 15348.6. Samples: 2977792. Policy #0 lag: (min: 10.0, avg: 13.8, max: 74.0) -[2026-06-02 21:29:51,289][456401] Avg episode reward: [(0, '312.600')] -[2026-06-02 21:29:51,293][457535] Saving new best policy, reward=312.600! -[2026-06-02 21:29:51,790][457608] Updated weights for policy 0, policy_version 5872 (0.0009) -[2026-06-02 21:29:54,009][457608] Updated weights for policy 0, policy_version 5938 (0.0010) -[2026-06-02 21:29:56,100][457608] Updated weights for policy 0, policy_version 6000 (0.0007) -[2026-06-02 21:29:56,288][456401] Fps is (10 sec: 16384.0, 60 sec: 15428.3, 300 sec: 15025.3). Total num frames: 3080192. Throughput: 0: 15462.4. Samples: 3069952. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) -[2026-06-02 21:29:56,289][456401] Avg episode reward: [(0, '321.200')] -[2026-06-02 21:29:56,293][457535] Saving new best policy, reward=321.200! -[2026-06-02 21:29:58,063][457608] Updated weights for policy 0, policy_version 6064 (0.0006) -[2026-06-02 21:30:00,114][457608] Updated weights for policy 0, policy_version 6128 (0.0007) -[2026-06-02 21:30:01,288][456401] Fps is (10 sec: 16384.1, 60 sec: 15291.7, 300 sec: 14979.7). Total num frames: 3145728. Throughput: 0: 15519.3. Samples: 3164672. Policy #0 lag: (min: 15.0, avg: 21.1, max: 79.0) -[2026-06-02 21:30:01,289][456401] Avg episode reward: [(0, '323.100')] -[2026-06-02 21:30:01,293][457535] Saving new best policy, reward=323.100! -[2026-06-02 21:30:02,216][457608] Updated weights for policy 0, policy_version 6192 (0.0009) -[2026-06-02 21:30:04,440][457608] Updated weights for policy 0, policy_version 6260 (0.0014) -[2026-06-02 21:30:06,288][456401] Fps is (10 sec: 13107.1, 60 sec: 15291.7, 300 sec: 14936.1). Total num frames: 3211264. Throughput: 0: 15542.0. Samples: 3212288. Policy #0 lag: (min: 15.0, avg: 21.1, max: 79.0) -[2026-06-02 21:30:06,289][456401] Avg episode reward: [(0, '328.900')] -[2026-06-02 21:30:06,420][457535] Saving new best policy, reward=328.900! -[2026-06-02 21:30:08,555][457608] Updated weights for policy 0, policy_version 6338 (0.0011) -[2026-06-02 21:30:10,658][457535] Signal inference workers to stop experience collection... (300 times) -[2026-06-02 21:30:10,683][457608] InferenceWorker_p0-w0: stopping experience collection (300 times) -[2026-06-02 21:30:10,785][457535] Signal inference workers to resume experience collection... (300 times) -[2026-06-02 21:30:10,785][457608] InferenceWorker_p0-w0: resuming experience collection (300 times) -[2026-06-02 21:30:10,788][457608] Updated weights for policy 0, policy_version 6416 (0.0011) -[2026-06-02 21:30:11,288][456401] Fps is (10 sec: 16384.0, 60 sec: 15701.3, 300 sec: 15043.5). Total num frames: 3309568. Throughput: 0: 15473.8. Samples: 3298816. Policy #0 lag: (min: 9.0, avg: 13.7, max: 73.0) -[2026-06-02 21:30:11,288][456401] Avg episode reward: [(0, '355.400')] -[2026-06-02 21:30:11,291][457535] Saving new best policy, reward=355.400! -[2026-06-02 21:30:12,987][457608] Updated weights for policy 0, policy_version 6482 (0.0010) -[2026-06-02 21:30:15,062][457608] Updated weights for policy 0, policy_version 6544 (0.0009) -[2026-06-02 21:30:16,288][456401] Fps is (10 sec: 16384.1, 60 sec: 15291.7, 300 sec: 15000.5). Total num frames: 3375104. Throughput: 0: 15439.7. Samples: 3390976. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) -[2026-06-02 21:30:16,289][456401] Avg episode reward: [(0, '331.500')] -[2026-06-02 21:30:17,204][457608] Updated weights for policy 0, policy_version 6624 (0.0008) -[2026-06-02 21:30:19,368][457608] Updated weights for policy 0, policy_version 6688 (0.0010) -[2026-06-02 21:30:21,288][456401] Fps is (10 sec: 13107.2, 60 sec: 15291.7, 300 sec: 14959.3). Total num frames: 3440640. Throughput: 0: 15451.1. Samples: 3440128. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 21:30:21,289][456401] Avg episode reward: [(0, '370.050')] -[2026-06-02 21:30:21,501][457535] Saving new best policy, reward=370.050! -[2026-06-02 21:30:21,502][457608] Updated weights for policy 0, policy_version 6752 (0.0010) -[2026-06-02 21:30:23,623][457608] Updated weights for policy 0, policy_version 6818 (0.0010) -[2026-06-02 21:30:26,120][457608] Updated weights for policy 0, policy_version 6909 (0.0010) -[2026-06-02 21:30:26,288][456401] Fps is (10 sec: 16384.0, 60 sec: 15701.4, 300 sec: 15059.3). Total num frames: 3538944. Throughput: 0: 15394.2. Samples: 3529728. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 21:30:26,289][456401] Avg episode reward: [(0, '364.250')] -[2026-06-02 21:30:28,341][457608] Updated weights for policy 0, policy_version 6971 (0.0010) -[2026-06-02 21:30:31,288][456401] Fps is (10 sec: 16384.0, 60 sec: 15291.7, 300 sec: 15018.7). Total num frames: 3604480. Throughput: 0: 15371.4. Samples: 3621376. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 21:30:31,289][456401] Avg episode reward: [(0, '385.400')] -[2026-06-02 21:30:31,292][457535] Saving new best policy, reward=385.400! -[2026-06-02 21:30:32,235][457608] Updated weights for policy 0, policy_version 7056 (0.0010) -[2026-06-02 21:30:32,682][457608] Updated weights for policy 0, policy_version 7104 (0.0009) -[2026-06-02 21:30:34,779][457608] Updated weights for policy 0, policy_version 7168 (0.0008) -[2026-06-02 21:30:36,288][456401] Fps is (10 sec: 13107.2, 60 sec: 15291.8, 300 sec: 14979.7). Total num frames: 3670016. Throughput: 0: 15337.3. Samples: 3667968. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) -[2026-06-02 21:30:36,289][456401] Avg episode reward: [(0, '404.500')] -[2026-06-02 21:30:36,455][457535] Saving new best policy, reward=404.500! -[2026-06-02 21:30:38,362][457608] Updated weights for policy 0, policy_version 7233 (0.0009) -[2026-06-02 21:30:38,878][457608] Updated weights for policy 0, policy_version 7296 (0.0010) -[2026-06-02 21:30:40,908][457608] Updated weights for policy 0, policy_version 7359 (0.0010) -[2026-06-02 21:30:41,288][456401] Fps is (10 sec: 16384.0, 60 sec: 15564.8, 300 sec: 15073.3). Total num frames: 3768320. Throughput: 0: 15416.9. Samples: 3763712. Policy #0 lag: (min: 31.0, avg: 34.8, max: 95.0) -[2026-06-02 21:30:41,289][456401] Avg episode reward: [(0, '447.650')] -[2026-06-02 21:30:41,292][457535] Saving new best policy, reward=447.650! -[2026-06-02 21:30:44,675][457608] Updated weights for policy 0, policy_version 7426 (0.0011) -[2026-06-02 21:30:44,877][457535] Signal inference workers to stop experience collection... (350 times) -[2026-06-02 21:30:44,907][457608] InferenceWorker_p0-w0: stopping experience collection (350 times) -[2026-06-02 21:30:44,980][457535] Signal inference workers to resume experience collection... (350 times) -[2026-06-02 21:30:44,980][457608] InferenceWorker_p0-w0: resuming experience collection (350 times) -[2026-06-02 21:30:46,288][456401] Fps is (10 sec: 16383.9, 60 sec: 15291.7, 300 sec: 15034.7). Total num frames: 3833856. Throughput: 0: 15360.0. Samples: 3855872. Policy #0 lag: (min: 48.0, avg: 52.5, max: 112.0) -[2026-06-02 21:30:46,289][456401] Avg episode reward: [(0, '479.350')] -[2026-06-02 21:30:46,296][457535] Saving new best policy, reward=479.350! -[2026-06-02 21:30:46,837][457608] Updated weights for policy 0, policy_version 7504 (0.0011) -[2026-06-02 21:30:48,953][457608] Updated weights for policy 0, policy_version 7570 (0.0011) -[2026-06-02 21:30:51,069][457608] Updated weights for policy 0, policy_version 7648 (0.0010) -[2026-06-02 21:30:51,288][456401] Fps is (10 sec: 15564.8, 60 sec: 15701.3, 300 sec: 15092.2). Total num frames: 3923968. Throughput: 0: 15337.2. Samples: 3902464. Policy #0 lag: (min: 48.0, avg: 52.5, max: 112.0) -[2026-06-02 21:30:51,289][456401] Avg episode reward: [(0, '449.600')] -[2026-06-02 21:30:53,175][457608] Updated weights for policy 0, policy_version 7698 (0.0010) -[2026-06-02 21:30:55,107][457608] Updated weights for policy 0, policy_version 7746 (0.0010) -[2026-06-02 21:30:55,623][457608] Updated weights for policy 0, policy_version 7808 (0.0010) -[2026-06-02 21:30:56,288][456401] Fps is (10 sec: 16384.1, 60 sec: 15291.7, 300 sec: 15085.6). Total num frames: 3997696. Throughput: 0: 15542.0. Samples: 3998208. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-02 21:30:56,289][456401] Avg episode reward: [(0, '489.150')] -[2026-06-02 21:30:56,293][457535] Saving new best policy, reward=489.150! -[2026-06-02 21:30:59,300][457608] Updated weights for policy 0, policy_version 7888 (0.0011) -[2026-06-02 21:31:01,257][457608] Updated weights for policy 0, policy_version 7938 (0.0010) -[2026-06-02 21:31:01,288][456401] Fps is (10 sec: 13926.4, 60 sec: 15291.7, 300 sec: 15049.0). Total num frames: 4063232. Throughput: 0: 15610.3. Samples: 4093440. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) -[2026-06-02 21:31:01,289][456401] Avg episode reward: [(0, '583.100')] -[2026-06-02 21:31:01,466][457535] Saving new best policy, reward=583.100! -[2026-06-02 21:31:03,260][457608] Updated weights for policy 0, policy_version 8016 (0.0010) -[2026-06-02 21:31:05,357][457608] Updated weights for policy 0, policy_version 8112 (0.0010) -[2026-06-02 21:31:06,288][456401] Fps is (10 sec: 16383.9, 60 sec: 15837.9, 300 sec: 15132.9). Total num frames: 4161536. Throughput: 0: 15621.7. Samples: 4143104. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 21:31:06,289][456401] Avg episode reward: [(0, '589.800')] -[2026-06-02 21:31:06,292][457535] Saving new best policy, reward=589.800! -[2026-06-02 21:31:07,412][457608] Updated weights for policy 0, policy_version 8162 (0.0009) -[2026-06-02 21:31:09,529][457608] Updated weights for policy 0, policy_version 8244 (0.0011) -[2026-06-02 21:31:11,288][456401] Fps is (10 sec: 16384.1, 60 sec: 15291.7, 300 sec: 15096.7). Total num frames: 4227072. Throughput: 0: 15781.0. Samples: 4239872. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:31:11,289][456401] Avg episode reward: [(0, '494.200')] -[2026-06-02 21:31:11,625][457608] Updated weights for policy 0, policy_version 8304 (0.0010) -[2026-06-02 21:31:13,501][457608] Updated weights for policy 0, policy_version 8368 (0.0010) -[2026-06-02 21:31:15,676][457608] Updated weights for policy 0, policy_version 8445 (0.0011) -[2026-06-02 21:31:16,288][456401] Fps is (10 sec: 16384.0, 60 sec: 15837.9, 300 sec: 15176.8). Total num frames: 4325376. Throughput: 0: 15906.1. Samples: 4337152. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:31:16,289][456401] Avg episode reward: [(0, '538.500')] -[2026-06-02 21:31:17,623][457608] Updated weights for policy 0, policy_version 8505 (0.0010) -[2026-06-02 21:31:19,315][457535] Signal inference workers to stop experience collection... (400 times) -[2026-06-02 21:31:19,341][457608] InferenceWorker_p0-w0: stopping experience collection (400 times) -[2026-06-02 21:31:19,416][457535] Signal inference workers to resume experience collection... (400 times) -[2026-06-02 21:31:19,417][457608] InferenceWorker_p0-w0: resuming experience collection (400 times) -[2026-06-02 21:31:19,708][457608] Updated weights for policy 0, policy_version 8576 (0.0011) -[2026-06-02 21:31:21,288][456401] Fps is (10 sec: 16383.9, 60 sec: 15837.9, 300 sec: 15141.1). Total num frames: 4390912. Throughput: 0: 16019.9. Samples: 4388864. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 21:31:21,289][456401] Avg episode reward: [(0, '589.400')] -[2026-06-02 21:31:23,214][457608] Updated weights for policy 0, policy_version 8642 (0.0009) -[2026-06-02 21:31:25,344][457608] Updated weights for policy 0, policy_version 8705 (0.0010) -[2026-06-02 21:31:25,811][457608] Updated weights for policy 0, policy_version 8766 (0.0010) -[2026-06-02 21:31:26,288][456401] Fps is (10 sec: 16384.0, 60 sec: 15837.9, 300 sec: 15217.7). Total num frames: 4489216. Throughput: 0: 16031.3. Samples: 4485120. Policy #0 lag: (min: 12.0, avg: 16.6, max: 76.0) -[2026-06-02 21:31:26,289][456401] Avg episode reward: [(0, '654.300')] -[2026-06-02 21:31:26,293][457535] Saving new best policy, reward=654.300! -[2026-06-02 21:31:27,743][457608] Updated weights for policy 0, policy_version 8829 (0.0011) -[2026-06-02 21:31:29,670][457608] Updated weights for policy 0, policy_version 8892 (0.0010) -[2026-06-02 21:31:31,288][456401] Fps is (10 sec: 16384.0, 60 sec: 15837.9, 300 sec: 15106.6). Total num frames: 4554752. Throughput: 0: 16213.3. Samples: 4585472. Policy #0 lag: (min: 12.0, avg: 16.6, max: 76.0) -[2026-06-02 21:31:31,289][456401] Avg episode reward: [(0, '675.500')] -[2026-06-02 21:31:31,403][457535] Saving new best policy, reward=675.500! -[2026-06-02 21:31:31,655][457608] Updated weights for policy 0, policy_version 8960 (0.0010) -[2026-06-02 21:31:33,665][457608] Updated weights for policy 0, policy_version 9022 (0.0010) -[2026-06-02 21:31:35,561][457608] Updated weights for policy 0, policy_version 9084 (0.0010) -[2026-06-02 21:31:36,288][456401] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 15162.1). Total num frames: 4653056. Throughput: 0: 16224.7. Samples: 4632576. Policy #0 lag: (min: 6.0, avg: 11.1, max: 70.0) -[2026-06-02 21:31:36,289][456401] Avg episode reward: [(0, '750.250')] -[2026-06-02 21:31:36,292][457535] Saving new best policy, reward=750.250! -[2026-06-02 21:31:37,478][457608] Updated weights for policy 0, policy_version 9149 (0.0009) -[2026-06-02 21:31:39,451][457608] Updated weights for policy 0, policy_version 9216 (0.0010) -[2026-06-02 21:31:41,288][456401] Fps is (10 sec: 18022.4, 60 sec: 16110.9, 300 sec: 15162.1). Total num frames: 4734976. Throughput: 0: 16384.0. Samples: 4735488. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 21:31:41,289][456401] Avg episode reward: [(0, '777.450')] -[2026-06-02 21:31:41,455][457535] Saving new best policy, reward=777.450! -[2026-06-02 21:31:43,071][457608] Updated weights for policy 0, policy_version 9282 (0.0011) -[2026-06-02 21:31:43,564][457608] Updated weights for policy 0, policy_version 9344 (0.0010) -[2026-06-02 21:31:45,479][457608] Updated weights for policy 0, policy_version 9408 (0.0010) -[2026-06-02 21:31:46,288][456401] Fps is (10 sec: 16384.0, 60 sec: 16384.0, 300 sec: 15217.7). Total num frames: 4816896. Throughput: 0: 16440.9. Samples: 4833280. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 21:31:46,289][456401] Avg episode reward: [(0, '801.950')] -[2026-06-02 21:31:46,292][457535] Saving new best policy, reward=801.950! -[2026-06-02 21:31:48,933][457608] Updated weights for policy 0, policy_version 9488 (0.0010) -[2026-06-02 21:31:50,894][457608] Updated weights for policy 0, policy_version 9552 (0.0010) -[2026-06-02 21:31:51,288][456401] Fps is (10 sec: 18022.5, 60 sec: 16520.6, 300 sec: 15328.8). Total num frames: 4915200. Throughput: 0: 16463.7. Samples: 4883968. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) -[2026-06-02 21:31:51,289][456401] Avg episode reward: [(0, '826.700')] -[2026-06-02 21:31:51,292][457535] Saving new best policy, reward=826.700! -[2026-06-02 21:31:52,628][457535] Signal inference workers to stop experience collection... (450 times) -[2026-06-02 21:31:52,679][457608] InferenceWorker_p0-w0: stopping experience collection (450 times) -[2026-06-02 21:31:52,779][457535] Signal inference workers to resume experience collection... (450 times) -[2026-06-02 21:31:52,780][457608] InferenceWorker_p0-w0: resuming experience collection (450 times) -[2026-06-02 21:31:52,782][457608] Updated weights for policy 0, policy_version 9616 (0.0010) -[2026-06-02 21:31:54,627][457608] Updated weights for policy 0, policy_version 9666 (0.0005) -[2026-06-02 21:31:56,288][456401] Fps is (10 sec: 16384.1, 60 sec: 16384.0, 300 sec: 15245.5). Total num frames: 4980736. Throughput: 0: 16577.4. Samples: 4985856. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) -[2026-06-02 21:31:56,288][456401] Avg episode reward: [(0, '938.050')] -[2026-06-02 21:31:56,291][457535] Saving new best policy, reward=938.050! -[2026-06-02 21:31:56,673][457608] Updated weights for policy 0, policy_version 9744 (0.0009) -[2026-06-02 21:31:58,639][457608] Updated weights for policy 0, policy_version 9810 (0.0011) -[2026-06-02 21:32:00,630][457608] Updated weights for policy 0, policy_version 9874 (0.0010) -[2026-06-02 21:32:01,288][456401] Fps is (10 sec: 16383.9, 60 sec: 16930.1, 300 sec: 15328.8). Total num frames: 5079040. Throughput: 0: 16645.7. Samples: 5086208. Policy #0 lag: (min: 3.0, avg: 8.2, max: 67.0) -[2026-06-02 21:32:01,289][456401] Avg episode reward: [(0, '922.000')] -[2026-06-02 21:32:02,695][457608] Updated weights for policy 0, policy_version 9954 (0.0009) -[2026-06-02 21:32:04,554][457608] Updated weights for policy 0, policy_version 10016 (0.0006) -[2026-06-02 21:32:06,288][456401] Fps is (10 sec: 16383.8, 60 sec: 16384.0, 300 sec: 15328.8). Total num frames: 5144576. Throughput: 0: 16714.0. Samples: 5140992. Policy #0 lag: (min: 31.0, avg: 36.3, max: 95.0) -[2026-06-02 21:32:06,289][456401] Avg episode reward: [(0, '943.550')] -[2026-06-02 21:32:06,495][457535] Saving new best policy, reward=943.550! -[2026-06-02 21:32:06,495][457608] Updated weights for policy 0, policy_version 10080 (0.0007) -[2026-06-02 21:32:08,556][457608] Updated weights for policy 0, policy_version 10160 (0.0008) -[2026-06-02 21:32:10,564][457608] Updated weights for policy 0, policy_version 10234 (0.0009) -[2026-06-02 21:32:11,288][456401] Fps is (10 sec: 16384.0, 60 sec: 16930.1, 300 sec: 15439.8). Total num frames: 5242880. Throughput: 0: 16827.7. Samples: 5242368. Policy #0 lag: (min: 31.0, avg: 36.3, max: 95.0) -[2026-06-02 21:32:11,289][456401] Avg episode reward: [(0, '958.900')] -[2026-06-02 21:32:11,293][457535] Saving new best policy, reward=958.900! -[2026-06-02 21:32:12,420][457608] Updated weights for policy 0, policy_version 10299 (0.0007) -[2026-06-02 21:32:14,321][457608] Updated weights for policy 0, policy_version 10368 (0.0007) -[2026-06-02 21:32:16,288][456401] Fps is (10 sec: 19660.9, 60 sec: 16930.2, 300 sec: 15550.9). Total num frames: 5341184. Throughput: 0: 16861.9. Samples: 5344256. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 21:32:16,289][456401] Avg episode reward: [(0, '930.250')] -[2026-06-02 21:32:17,630][457608] Updated weights for policy 0, policy_version 10434 (0.0010) -[2026-06-02 21:32:18,111][457608] Updated weights for policy 0, policy_version 10496 (0.0009) -[2026-06-02 21:32:19,907][457608] Updated weights for policy 0, policy_version 10558 (0.0009) -[2026-06-02 21:32:21,288][456401] Fps is (10 sec: 17203.2, 60 sec: 17066.7, 300 sec: 15467.6). Total num frames: 5414912. Throughput: 0: 17078.0. Samples: 5401088. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 21:32:21,289][456401] Avg episode reward: [(0, '937.200')] -[2026-06-02 21:32:21,622][457608] Updated weights for policy 0, policy_version 10624 (0.0010) -[2026-06-02 21:32:23,287][457535] Signal inference workers to stop experience collection... (500 times) -[2026-06-02 21:32:23,318][457608] InferenceWorker_p0-w0: stopping experience collection (500 times) -[2026-06-02 21:32:23,403][457535] Signal inference workers to resume experience collection... (500 times) -[2026-06-02 21:32:23,403][457608] InferenceWorker_p0-w0: resuming experience collection (500 times) -[2026-06-02 21:32:23,599][457608] Updated weights for policy 0, policy_version 10688 (0.0014) -[2026-06-02 21:32:26,288][456401] Fps is (10 sec: 16383.9, 60 sec: 16930.1, 300 sec: 15550.9). Total num frames: 5505024. Throughput: 0: 17123.5. Samples: 5506048. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:32:26,289][456401] Avg episode reward: [(0, '1036.450')] -[2026-06-02 21:32:26,293][457535] Saving new best policy, reward=1036.450! -[2026-06-02 21:32:27,088][457608] Updated weights for policy 0, policy_version 10784 (0.0010) -[2026-06-02 21:32:29,027][457608] Updated weights for policy 0, policy_version 10848 (0.0009) -[2026-06-02 21:32:31,098][457608] Updated weights for policy 0, policy_version 10928 (0.0010) -[2026-06-02 21:32:31,288][456401] Fps is (10 sec: 18841.7, 60 sec: 17476.3, 300 sec: 15662.0). Total num frames: 5603328. Throughput: 0: 17180.4. Samples: 5606400. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:32:31,289][456401] Avg episode reward: [(0, '1122.050')] -[2026-06-02 21:32:31,292][457535] Saving new best policy, reward=1122.050! -[2026-06-02 21:32:33,016][457608] Updated weights for policy 0, policy_version 10994 (0.0009) -[2026-06-02 21:32:34,777][457608] Updated weights for policy 0, policy_version 11056 (0.0009) -[2026-06-02 21:32:36,288][456401] Fps is (10 sec: 16384.1, 60 sec: 16930.1, 300 sec: 15662.0). Total num frames: 5668864. Throughput: 0: 17282.8. Samples: 5661696. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 21:32:36,289][456401] Avg episode reward: [(0, '1189.100')] -[2026-06-02 21:32:36,293][457535] Saving new best policy, reward=1189.100! -[2026-06-02 21:32:36,697][457608] Updated weights for policy 0, policy_version 11123 (0.0009) -[2026-06-02 21:32:38,589][457608] Updated weights for policy 0, policy_version 11188 (0.0009) -[2026-06-02 21:32:40,534][457608] Updated weights for policy 0, policy_version 11260 (0.0009) -[2026-06-02 21:32:41,288][456401] Fps is (10 sec: 16384.0, 60 sec: 17203.2, 300 sec: 15773.1). Total num frames: 5767168. Throughput: 0: 17362.5. Samples: 5767168. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) -[2026-06-02 21:32:41,289][456401] Avg episode reward: [(0, '1244.300')] -[2026-06-02 21:32:41,293][457535] Saving new best policy, reward=1244.300! -[2026-06-02 21:32:42,527][457608] Updated weights for policy 0, policy_version 11322 (0.0009) -[2026-06-02 21:32:44,507][457608] Updated weights for policy 0, policy_version 11392 (0.0009) -[2026-06-02 21:32:46,288][456401] Fps is (10 sec: 18841.6, 60 sec: 17339.7, 300 sec: 15773.1). Total num frames: 5857280. Throughput: 0: 17351.1. Samples: 5867008. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 21:32:46,289][456401] Avg episode reward: [(0, '1422.200')] -[2026-06-02 21:32:46,352][457535] Saving new best policy, reward=1422.200! -[2026-06-02 21:32:46,356][457608] Updated weights for policy 0, policy_version 11456 (0.0010) -[2026-06-02 21:32:48,196][457608] Updated weights for policy 0, policy_version 11520 (0.0010) -[2026-06-02 21:32:49,949][457608] Updated weights for policy 0, policy_version 11580 (0.0009) -[2026-06-02 21:32:51,288][456401] Fps is (10 sec: 16384.0, 60 sec: 16930.1, 300 sec: 15773.1). Total num frames: 5931008. Throughput: 0: 17408.0. Samples: 5924352. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 21:32:51,289][456401] Avg episode reward: [(0, '1464.750')] -[2026-06-02 21:32:51,534][457535] Saving new best policy, reward=1464.750! -[2026-06-02 21:32:51,800][457608] Updated weights for policy 0, policy_version 11647 (0.0011) -[2026-06-02 21:32:55,209][457608] Updated weights for policy 0, policy_version 11714 (0.0009) -[2026-06-02 21:32:55,284][457535] Signal inference workers to stop experience collection... (550 times) -[2026-06-02 21:32:55,311][457608] InferenceWorker_p0-w0: stopping experience collection (550 times) -[2026-06-02 21:32:55,385][457535] Signal inference workers to resume experience collection... (550 times) -[2026-06-02 21:32:55,386][457608] InferenceWorker_p0-w0: resuming experience collection (550 times) -[2026-06-02 21:32:56,288][456401] Fps is (10 sec: 17203.2, 60 sec: 17476.2, 300 sec: 15884.1). Total num frames: 6029312. Throughput: 0: 17453.5. Samples: 6027776. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 21:32:56,289][456401] Avg episode reward: [(0, '1587.200')] -[2026-06-02 21:32:56,293][457535] Saving new best policy, reward=1587.200! -[2026-06-02 21:32:57,146][457608] Updated weights for policy 0, policy_version 11792 (0.0010) -[2026-06-02 21:32:59,261][457608] Updated weights for policy 0, policy_version 11872 (0.0011) -[2026-06-02 21:33:01,141][457608] Updated weights for policy 0, policy_version 11936 (0.0009) -[2026-06-02 21:33:01,288][456401] Fps is (10 sec: 18841.6, 60 sec: 17339.7, 300 sec: 15967.5). Total num frames: 6119424. Throughput: 0: 17453.5. Samples: 6129664. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:33:01,289][456401] Avg episode reward: [(0, '1509.900')] -[2026-06-02 21:33:03,007][457608] Updated weights for policy 0, policy_version 11986 (0.0009) -[2026-06-02 21:33:04,752][457608] Updated weights for policy 0, policy_version 12048 (0.0009) -[2026-06-02 21:33:06,288][456401] Fps is (10 sec: 16384.0, 60 sec: 17476.3, 300 sec: 15995.2). Total num frames: 6193152. Throughput: 0: 17339.7. Samples: 6181376. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:33:06,289][456401] Avg episode reward: [(0, '1631.050')] -[2026-06-02 21:33:06,293][457535] Saving new best policy, reward=1631.050! -[2026-06-02 21:33:06,581][457608] Updated weights for policy 0, policy_version 12114 (0.0009) -[2026-06-02 21:33:08,570][457608] Updated weights for policy 0, policy_version 12192 (0.0010) -[2026-06-02 21:33:10,477][457608] Updated weights for policy 0, policy_version 12272 (0.0010) -[2026-06-02 21:33:11,288][456401] Fps is (10 sec: 17203.2, 60 sec: 17476.3, 300 sec: 16023.0). Total num frames: 6291456. Throughput: 0: 17430.8. Samples: 6290432. Policy #0 lag: (min: 2.0, avg: 7.2, max: 66.0) -[2026-06-02 21:33:11,289][456401] Avg episode reward: [(0, '1682.500')] -[2026-06-02 21:33:11,293][457535] Saving new best policy, reward=1682.500! -[2026-06-02 21:33:12,277][457608] Updated weights for policy 0, policy_version 12322 (0.0010) -[2026-06-02 21:33:14,096][457608] Updated weights for policy 0, policy_version 12384 (0.0010) -[2026-06-02 21:33:16,020][457608] Updated weights for policy 0, policy_version 12464 (0.0011) -[2026-06-02 21:33:16,288][456401] Fps is (10 sec: 19660.9, 60 sec: 17476.3, 300 sec: 16106.3). Total num frames: 6389760. Throughput: 0: 17499.0. Samples: 6393856. Policy #0 lag: (min: 2.0, avg: 7.2, max: 66.0) -[2026-06-02 21:33:16,289][456401] Avg episode reward: [(0, '1652.300')] -[2026-06-02 21:33:17,884][457608] Updated weights for policy 0, policy_version 12530 (0.0010) -[2026-06-02 21:33:19,718][457608] Updated weights for policy 0, policy_version 12592 (0.0010) -[2026-06-02 21:33:21,288][456401] Fps is (10 sec: 17203.2, 60 sec: 17476.3, 300 sec: 16134.1). Total num frames: 6463488. Throughput: 0: 17510.4. Samples: 6449664. Policy #0 lag: (min: 31.0, avg: 35.3, max: 95.0) -[2026-06-02 21:33:21,289][456401] Avg episode reward: [(0, '1690.200')] -[2026-06-02 21:33:21,448][457535] Saving new best policy, reward=1690.200! -[2026-06-02 21:33:21,450][457608] Updated weights for policy 0, policy_version 12656 (0.0010) -[2026-06-02 21:33:23,354][457608] Updated weights for policy 0, policy_version 12725 (0.0010) -[2026-06-02 21:33:25,218][457608] Updated weights for policy 0, policy_version 12791 (0.0010) -[2026-06-02 21:33:26,288][456401] Fps is (10 sec: 16383.9, 60 sec: 17476.3, 300 sec: 16217.4). Total num frames: 6553600. Throughput: 0: 17533.2. Samples: 6556160. Policy #0 lag: (min: 31.0, avg: 35.3, max: 95.0) -[2026-06-02 21:33:26,289][456401] Avg episode reward: [(0, '1796.450')] -[2026-06-02 21:33:26,292][457535] Saving new best policy, reward=1796.450! -[2026-06-02 21:33:26,543][457535] Signal inference workers to stop experience collection... (600 times) -[2026-06-02 21:33:26,586][457608] InferenceWorker_p0-w0: stopping experience collection (600 times) -[2026-06-02 21:33:26,671][457535] Signal inference workers to resume experience collection... (600 times) -[2026-06-02 21:33:26,672][457608] InferenceWorker_p0-w0: resuming experience collection (600 times) -[2026-06-02 21:33:27,011][457608] Updated weights for policy 0, policy_version 12860 (0.0007) -[2026-06-02 21:33:28,745][457608] Updated weights for policy 0, policy_version 12920 (0.0009) -[2026-06-02 21:33:30,620][457608] Updated weights for policy 0, policy_version 12990 (0.0010) -[2026-06-02 21:33:31,288][456401] Fps is (10 sec: 18841.6, 60 sec: 17476.3, 300 sec: 16217.4). Total num frames: 6651904. Throughput: 0: 17749.3. Samples: 6665728. Policy #0 lag: (min: 15.0, avg: 20.5, max: 79.0) -[2026-06-02 21:33:31,289][456401] Avg episode reward: [(0, '1961.050')] -[2026-06-02 21:33:31,292][457535] Saving new best policy, reward=1961.050! -[2026-06-02 21:33:32,418][457608] Updated weights for policy 0, policy_version 13050 (0.0009) -[2026-06-02 21:33:34,165][457608] Updated weights for policy 0, policy_version 13113 (0.0010) -[2026-06-02 21:33:35,943][457608] Updated weights for policy 0, policy_version 13176 (0.0010) -[2026-06-02 21:33:36,288][456401] Fps is (10 sec: 19660.7, 60 sec: 18022.4, 300 sec: 16328.5). Total num frames: 6750208. Throughput: 0: 17692.4. Samples: 6720512. Policy #0 lag: (min: 15.0, avg: 20.5, max: 79.0) -[2026-06-02 21:33:36,289][456401] Avg episode reward: [(0, '2065.000')] -[2026-06-02 21:33:36,292][457535] Saving new best policy, reward=2065.000! -[2026-06-02 21:33:37,790][457608] Updated weights for policy 0, policy_version 13240 (0.0009) -[2026-06-02 21:33:39,574][457608] Updated weights for policy 0, policy_version 13298 (0.0010) -[2026-06-02 21:33:41,288][456401] Fps is (10 sec: 18022.5, 60 sec: 17749.3, 300 sec: 16384.0). Total num frames: 6832128. Throughput: 0: 17840.4. Samples: 6830592. Policy #0 lag: (min: 1.0, avg: 5.4, max: 65.0) -[2026-06-02 21:33:41,289][456401] Avg episode reward: [(0, '2092.700')] -[2026-06-02 21:33:41,398][457608] Updated weights for policy 0, policy_version 13366 (0.0010) -[2026-06-02 21:33:41,484][457535] Saving new best policy, reward=2092.700! -[2026-06-02 21:33:43,343][457608] Updated weights for policy 0, policy_version 13440 (0.0009) -[2026-06-02 21:33:45,329][457608] Updated weights for policy 0, policy_version 13504 (0.0010) -[2026-06-02 21:33:46,288][456401] Fps is (10 sec: 16384.2, 60 sec: 17612.8, 300 sec: 16439.5). Total num frames: 6914048. Throughput: 0: 17908.6. Samples: 6935552. Policy #0 lag: (min: 1.0, avg: 5.4, max: 65.0) -[2026-06-02 21:33:46,289][456401] Avg episode reward: [(0, '2250.100')] -[2026-06-02 21:33:46,292][457535] Saving new best policy, reward=2250.100! -[2026-06-02 21:33:47,199][457608] Updated weights for policy 0, policy_version 13568 (0.0010) -[2026-06-02 21:33:50,209][457608] Updated weights for policy 0, policy_version 13634 (0.0008) -[2026-06-02 21:33:50,722][457608] Updated weights for policy 0, policy_version 13696 (0.0010) -[2026-06-02 21:33:51,288][456401] Fps is (10 sec: 18022.3, 60 sec: 18022.4, 300 sec: 16467.3). Total num frames: 7012352. Throughput: 0: 17965.5. Samples: 6989824. Policy #0 lag: (min: 1.0, avg: 5.4, max: 65.0) -[2026-06-02 21:33:51,289][456401] Avg episode reward: [(0, '2324.600')] -[2026-06-02 21:33:51,293][457535] Saving new best policy, reward=2324.600! -[2026-06-02 21:33:53,832][457608] Updated weights for policy 0, policy_version 13776 (0.0010) -[2026-06-02 21:33:55,701][457535] Signal inference workers to stop experience collection... (650 times) -[2026-06-02 21:33:55,702][457608] Updated weights for policy 0, policy_version 13856 (0.0010) -[2026-06-02 21:33:55,731][457608] InferenceWorker_p0-w0: stopping experience collection (650 times) -[2026-06-02 21:33:55,802][457535] Signal inference workers to resume experience collection... (650 times) -[2026-06-02 21:33:55,803][457608] InferenceWorker_p0-w0: resuming experience collection (650 times) -[2026-06-02 21:33:56,288][456401] Fps is (10 sec: 19660.7, 60 sec: 18022.4, 300 sec: 16550.6). Total num frames: 7110656. Throughput: 0: 18011.0. Samples: 7100928. Policy #0 lag: (min: 15.0, avg: 20.5, max: 79.0) -[2026-06-02 21:33:56,289][456401] Avg episode reward: [(0, '2487.700')] -[2026-06-02 21:33:56,292][457535] Saving new best policy, reward=2487.700! -[2026-06-02 21:33:57,596][457608] Updated weights for policy 0, policy_version 13920 (0.0009) -[2026-06-02 21:33:59,374][457608] Updated weights for policy 0, policy_version 13984 (0.0009) -[2026-06-02 21:34:01,126][457608] Updated weights for policy 0, policy_version 14034 (0.0009) -[2026-06-02 21:34:01,288][456401] Fps is (10 sec: 18022.5, 60 sec: 17885.9, 300 sec: 16606.2). Total num frames: 7192576. Throughput: 0: 18147.6. Samples: 7210496. Policy #0 lag: (min: 15.0, avg: 20.5, max: 79.0) -[2026-06-02 21:34:01,289][456401] Avg episode reward: [(0, '2448.250')] -[2026-06-02 21:34:02,879][457608] Updated weights for policy 0, policy_version 14099 (0.0009) -[2026-06-02 21:34:04,670][457608] Updated weights for policy 0, policy_version 14176 (0.0010) -[2026-06-02 21:34:06,288][456401] Fps is (10 sec: 16383.9, 60 sec: 18022.4, 300 sec: 16633.9). Total num frames: 7274496. Throughput: 0: 18158.9. Samples: 7266816. Policy #0 lag: (min: 15.0, avg: 21.8, max: 79.0) -[2026-06-02 21:34:06,289][456401] Avg episode reward: [(0, '2651.350')] -[2026-06-02 21:34:06,292][457535] Saving new best policy, reward=2651.350! -[2026-06-02 21:34:06,610][457608] Updated weights for policy 0, policy_version 14240 (0.0008) -[2026-06-02 21:34:08,321][457608] Updated weights for policy 0, policy_version 14304 (0.0007) -[2026-06-02 21:34:10,096][457608] Updated weights for policy 0, policy_version 14368 (0.0009) -[2026-06-02 21:34:11,288][456401] Fps is (10 sec: 18022.2, 60 sec: 18022.4, 300 sec: 16661.7). Total num frames: 7372800. Throughput: 0: 18193.0. Samples: 7374848. Policy #0 lag: (min: 15.0, avg: 21.8, max: 79.0) -[2026-06-02 21:34:11,289][456401] Avg episode reward: [(0, '2775.500')] -[2026-06-02 21:34:11,293][457535] Saving new best policy, reward=2775.500! -[2026-06-02 21:34:11,916][457608] Updated weights for policy 0, policy_version 14432 (0.0010) -[2026-06-02 21:34:13,695][457608] Updated weights for policy 0, policy_version 14482 (0.0009) -[2026-06-02 21:34:15,706][457608] Updated weights for policy 0, policy_version 14560 (0.0009) -[2026-06-02 21:34:16,288][456401] Fps is (10 sec: 19661.0, 60 sec: 18022.4, 300 sec: 16772.8). Total num frames: 7471104. Throughput: 0: 18079.3. Samples: 7479296. Policy #0 lag: (min: 11.0, avg: 16.2, max: 75.0) -[2026-06-02 21:34:16,289][456401] Avg episode reward: [(0, '2773.600')] -[2026-06-02 21:34:17,508][457608] Updated weights for policy 0, policy_version 14624 (0.0009) -[2026-06-02 21:34:19,241][457608] Updated weights for policy 0, policy_version 14688 (0.0009) -[2026-06-02 21:34:20,977][457608] Updated weights for policy 0, policy_version 14752 (0.0009) -[2026-06-02 21:34:21,288][456401] Fps is (10 sec: 19661.0, 60 sec: 18432.0, 300 sec: 16856.1). Total num frames: 7569408. Throughput: 0: 18159.0. Samples: 7537664. Policy #0 lag: (min: 11.0, avg: 16.2, max: 75.0) -[2026-06-02 21:34:21,289][456401] Avg episode reward: [(0, '2767.700')] -[2026-06-02 21:34:22,785][457608] Updated weights for policy 0, policy_version 14802 (0.0009) -[2026-06-02 21:34:24,904][457608] Updated weights for policy 0, policy_version 14898 (0.0009) -[2026-06-02 21:34:26,288][456401] Fps is (10 sec: 16384.0, 60 sec: 18022.4, 300 sec: 16772.8). Total num frames: 7634944. Throughput: 0: 18011.0. Samples: 7641088. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 21:34:26,289][456401] Avg episode reward: [(0, '2929.100')] -[2026-06-02 21:34:26,293][457535] Saving new best policy, reward=2929.100! -[2026-06-02 21:34:26,435][457535] Signal inference workers to stop experience collection... (700 times) -[2026-06-02 21:34:26,461][457608] InferenceWorker_p0-w0: stopping experience collection (700 times) -[2026-06-02 21:34:26,536][457535] Signal inference workers to resume experience collection... (700 times) -[2026-06-02 21:34:26,537][457608] InferenceWorker_p0-w0: resuming experience collection (700 times) -[2026-06-02 21:34:26,695][457608] Updated weights for policy 0, policy_version 14962 (0.0010) -[2026-06-02 21:34:28,307][457608] Updated weights for policy 0, policy_version 15026 (0.0010) -[2026-06-02 21:34:30,026][457608] Updated weights for policy 0, policy_version 15090 (0.0010) -[2026-06-02 21:34:31,288][456401] Fps is (10 sec: 16384.0, 60 sec: 18022.4, 300 sec: 16883.9). Total num frames: 7733248. Throughput: 0: 18318.2. Samples: 7759872. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 21:34:31,289][456401] Avg episode reward: [(0, '3018.250')] -[2026-06-02 21:34:31,292][457535] Saving new best policy, reward=3018.250! -[2026-06-02 21:34:31,759][457608] Updated weights for policy 0, policy_version 15154 (0.0007) -[2026-06-02 21:34:33,433][457608] Updated weights for policy 0, policy_version 15216 (0.0007) -[2026-06-02 21:34:35,275][457608] Updated weights for policy 0, policy_version 15284 (0.0010) -[2026-06-02 21:34:36,288][456401] Fps is (10 sec: 19660.8, 60 sec: 18022.4, 300 sec: 16939.4). Total num frames: 7831552. Throughput: 0: 18329.6. Samples: 7814656. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) -[2026-06-02 21:34:36,289][456401] Avg episode reward: [(0, '3034.700')] -[2026-06-02 21:34:36,293][457535] Saving new best policy, reward=3034.700! -[2026-06-02 21:34:36,999][457608] Updated weights for policy 0, policy_version 15344 (0.0010) -[2026-06-02 21:34:38,824][457608] Updated weights for policy 0, policy_version 15415 (0.0010) -[2026-06-02 21:34:40,573][457608] Updated weights for policy 0, policy_version 15480 (0.0011) -[2026-06-02 21:34:41,288][456401] Fps is (10 sec: 19660.8, 60 sec: 18295.5, 300 sec: 16994.9). Total num frames: 7929856. Throughput: 0: 18386.5. Samples: 7928320. Policy #0 lag: (min: 8.0, avg: 12.8, max: 72.0) -[2026-06-02 21:34:41,289][456401] Avg episode reward: [(0, '3137.800')] -[2026-06-02 21:34:41,293][457535] Saving new best policy, reward=3137.800! -[2026-06-02 21:34:42,390][457608] Updated weights for policy 0, policy_version 15544 (0.0010) -[2026-06-02 21:34:44,038][457608] Updated weights for policy 0, policy_version 15602 (0.0011) -[2026-06-02 21:34:45,886][457608] Updated weights for policy 0, policy_version 15677 (0.0010) -[2026-06-02 21:34:46,288][456401] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 17106.0). Total num frames: 8028160. Throughput: 0: 18352.3. Samples: 8036352. Policy #0 lag: (min: 8.0, avg: 12.8, max: 72.0) -[2026-06-02 21:34:46,289][456401] Avg episode reward: [(0, '3135.100')] -[2026-06-02 21:34:49,177][457608] Updated weights for policy 0, policy_version 15760 (0.0011) -[2026-06-02 21:34:51,126][457608] Updated weights for policy 0, policy_version 15826 (0.0010) -[2026-06-02 21:34:51,288][456401] Fps is (10 sec: 18022.3, 60 sec: 18295.5, 300 sec: 17050.5). Total num frames: 8110080. Throughput: 0: 18386.5. Samples: 8094208. Policy #0 lag: (min: 6.0, avg: 11.0, max: 70.0) -[2026-06-02 21:34:51,289][456401] Avg episode reward: [(0, '3092.300')] -[2026-06-02 21:34:52,881][457608] Updated weights for policy 0, policy_version 15890 (0.0010) -[2026-06-02 21:34:54,721][457608] Updated weights for policy 0, policy_version 15968 (0.0010) -[2026-06-02 21:34:56,179][457535] Signal inference workers to stop experience collection... (750 times) -[2026-06-02 21:34:56,206][457608] InferenceWorker_p0-w0: stopping experience collection (750 times) -[2026-06-02 21:34:56,288][456401] Fps is (10 sec: 16383.9, 60 sec: 18022.4, 300 sec: 17106.0). Total num frames: 8192000. Throughput: 0: 18318.2. Samples: 8199168. Policy #0 lag: (min: 6.0, avg: 11.0, max: 70.0) -[2026-06-02 21:34:56,289][456401] Avg episode reward: [(0, '3359.650')] -[2026-06-02 21:34:56,308][457535] Signal inference workers to resume experience collection... (750 times) -[2026-06-02 21:34:56,308][457608] InferenceWorker_p0-w0: resuming experience collection (750 times) -[2026-06-02 21:34:56,400][457535] Saving new best policy, reward=3359.650! -[2026-06-02 21:34:56,524][457608] Updated weights for policy 0, policy_version 16048 (0.0009) -[2026-06-02 21:34:58,321][457608] Updated weights for policy 0, policy_version 16112 (0.0010) -[2026-06-02 21:35:00,210][457608] Updated weights for policy 0, policy_version 16176 (0.0010) -[2026-06-02 21:35:01,288][456401] Fps is (10 sec: 18022.3, 60 sec: 18295.4, 300 sec: 17217.1). Total num frames: 8290304. Throughput: 0: 18500.2. Samples: 8311808. Policy #0 lag: (min: 6.0, avg: 11.0, max: 70.0) -[2026-06-02 21:35:01,289][456401] Avg episode reward: [(0, '3424.100')] -[2026-06-02 21:35:01,293][457535] Saving new best policy, reward=3424.100! -[2026-06-02 21:35:01,982][457608] Updated weights for policy 0, policy_version 16240 (0.0010) -[2026-06-02 21:35:03,700][457608] Updated weights for policy 0, policy_version 16290 (0.0009) -[2026-06-02 21:35:05,612][457608] Updated weights for policy 0, policy_version 16368 (0.0010) -[2026-06-02 21:35:06,288][456401] Fps is (10 sec: 19660.9, 60 sec: 18568.6, 300 sec: 17217.1). Total num frames: 8388608. Throughput: 0: 18363.7. Samples: 8364032. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 21:35:06,289][456401] Avg episode reward: [(0, '3642.000')] -[2026-06-02 21:35:06,292][457535] Saving new best policy, reward=3642.000! -[2026-06-02 21:35:07,374][457608] Updated weights for policy 0, policy_version 16432 (0.0009) -[2026-06-02 21:35:09,169][457608] Updated weights for policy 0, policy_version 16496 (0.0010) -[2026-06-02 21:35:10,896][457608] Updated weights for policy 0, policy_version 16562 (0.0009) -[2026-06-02 21:35:11,288][456401] Fps is (10 sec: 19661.0, 60 sec: 18568.6, 300 sec: 17328.2). Total num frames: 8486912. Throughput: 0: 18591.3. Samples: 8477696. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 21:35:11,289][456401] Avg episode reward: [(0, '3726.350')] -[2026-06-02 21:35:11,292][457535] Saving new best policy, reward=3726.350! -[2026-06-02 21:35:12,561][457608] Updated weights for policy 0, policy_version 16624 (0.0010) -[2026-06-02 21:35:14,118][457608] Updated weights for policy 0, policy_version 16658 (0.0009) -[2026-06-02 21:35:15,752][457608] Updated weights for policy 0, policy_version 16705 (0.0009) -[2026-06-02 21:35:16,288][456401] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 17439.2). Total num frames: 8585216. Throughput: 0: 18443.4. Samples: 8589824. Policy #0 lag: (min: 9.0, avg: 14.0, max: 73.0) -[2026-06-02 21:35:16,289][456401] Avg episode reward: [(0, '3692.900')] -[2026-06-02 21:35:17,522][457608] Updated weights for policy 0, policy_version 16769 (0.0009) -[2026-06-02 21:35:17,999][457608] Updated weights for policy 0, policy_version 16832 (0.0009) -[2026-06-02 21:35:19,773][457608] Updated weights for policy 0, policy_version 16896 (0.0010) -[2026-06-02 21:35:21,288][456401] Fps is (10 sec: 18022.4, 60 sec: 18295.5, 300 sec: 17383.7). Total num frames: 8667136. Throughput: 0: 18511.6. Samples: 8647680. Policy #0 lag: (min: 9.0, avg: 14.0, max: 73.0) -[2026-06-02 21:35:21,289][456401] Avg episode reward: [(0, '3765.500')] -[2026-06-02 21:35:21,514][457535] Saving new best policy, reward=3765.500! -[2026-06-02 21:35:22,862][457608] Updated weights for policy 0, policy_version 16962 (0.0009) -[2026-06-02 21:35:24,788][457608] Updated weights for policy 0, policy_version 17040 (0.0009) -[2026-06-02 21:35:24,892][457535] Signal inference workers to stop experience collection... (800 times) -[2026-06-02 21:35:24,921][457608] InferenceWorker_p0-w0: stopping experience collection (800 times) -[2026-06-02 21:35:25,007][457535] Signal inference workers to resume experience collection... (800 times) -[2026-06-02 21:35:25,007][457608] InferenceWorker_p0-w0: resuming experience collection (800 times) -[2026-06-02 21:35:25,175][457608] Updated weights for policy 0, policy_version 17088 (0.0009) -[2026-06-02 21:35:26,288][456401] Fps is (10 sec: 16384.0, 60 sec: 18568.5, 300 sec: 17439.2). Total num frames: 8749056. Throughput: 0: 18341.0. Samples: 8753664. Policy #0 lag: (min: 9.0, avg: 14.0, max: 73.0) -[2026-06-02 21:35:26,289][456401] Avg episode reward: [(0, '3823.900')] -[2026-06-02 21:35:26,292][457535] Saving new best policy, reward=3823.900! -[2026-06-02 21:35:28,184][457608] Updated weights for policy 0, policy_version 17168 (0.0010) -[2026-06-02 21:35:30,046][457608] Updated weights for policy 0, policy_version 17234 (0.0010) -[2026-06-02 21:35:31,288][456401] Fps is (10 sec: 18022.4, 60 sec: 18568.5, 300 sec: 17550.3). Total num frames: 8847360. Throughput: 0: 18477.5. Samples: 8867840. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 21:35:31,289][456401] Avg episode reward: [(0, '3622.650')] -[2026-06-02 21:35:31,729][457608] Updated weights for policy 0, policy_version 17282 (0.0010) -[2026-06-02 21:35:33,757][457608] Updated weights for policy 0, policy_version 17360 (0.0010) -[2026-06-02 21:35:35,717][457608] Updated weights for policy 0, policy_version 17440 (0.0010) -[2026-06-02 21:35:36,288][456401] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 17550.3). Total num frames: 8945664. Throughput: 0: 18318.3. Samples: 8918528. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 21:35:36,289][456401] Avg episode reward: [(0, '3566.500')] -[2026-06-02 21:35:37,702][457608] Updated weights for policy 0, policy_version 17520 (0.0010) -[2026-06-02 21:35:39,498][457608] Updated weights for policy 0, policy_version 17568 (0.0010) -[2026-06-02 21:35:41,202][457608] Updated weights for policy 0, policy_version 17616 (0.0010) -[2026-06-02 21:35:41,288][456401] Fps is (10 sec: 17203.2, 60 sec: 18158.9, 300 sec: 17578.1). Total num frames: 9019392. Throughput: 0: 18306.9. Samples: 9022976. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) -[2026-06-02 21:35:41,289][456401] Avg episode reward: [(0, '3497.350')] -[2026-06-02 21:35:42,881][457608] Updated weights for policy 0, policy_version 17666 (0.0009) -[2026-06-02 21:35:43,331][457608] Updated weights for policy 0, policy_version 17726 (0.0009) -[2026-06-02 21:35:45,119][457608] Updated weights for policy 0, policy_version 17792 (0.0009) -[2026-06-02 21:35:46,288][456401] Fps is (10 sec: 16384.0, 60 sec: 18022.4, 300 sec: 17578.1). Total num frames: 9109504. Throughput: 0: 18284.1. Samples: 9134592. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) -[2026-06-02 21:35:46,289][456401] Avg episode reward: [(0, '3703.650')] -[2026-06-02 21:35:46,848][457608] Updated weights for policy 0, policy_version 17854 (0.0010) -[2026-06-02 21:35:48,541][457608] Updated weights for policy 0, policy_version 17912 (0.0010) -[2026-06-02 21:35:50,443][457608] Updated weights for policy 0, policy_version 17984 (0.0010) -[2026-06-02 21:35:51,288][456401] Fps is (10 sec: 18841.6, 60 sec: 18295.5, 300 sec: 17661.4). Total num frames: 9207808. Throughput: 0: 18375.1. Samples: 9190912. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) -[2026-06-02 21:35:51,289][456401] Avg episode reward: [(0, '3896.000')] -[2026-06-02 21:35:51,293][457535] Saving new best policy, reward=3896.000! -[2026-06-02 21:35:52,264][457608] Updated weights for policy 0, policy_version 18048 (0.0010) -[2026-06-02 21:35:55,538][457608] Updated weights for policy 0, policy_version 18113 (0.0011) -[2026-06-02 21:35:55,627][457535] Signal inference workers to stop experience collection... (850 times) -[2026-06-02 21:35:55,656][457608] InferenceWorker_p0-w0: stopping experience collection (850 times) -[2026-06-02 21:35:55,728][457535] Signal inference workers to resume experience collection... (850 times) -[2026-06-02 21:35:55,729][457608] InferenceWorker_p0-w0: resuming experience collection (850 times) -[2026-06-02 21:35:56,288][456401] Fps is (10 sec: 19660.9, 60 sec: 18568.6, 300 sec: 17772.5). Total num frames: 9306112. Throughput: 0: 18250.0. Samples: 9298944. Policy #0 lag: (min: 31.0, avg: 36.1, max: 95.0) -[2026-06-02 21:35:56,289][456401] Avg episode reward: [(0, '4085.650')] -[2026-06-02 21:35:56,292][457535] Saving new best policy, reward=4085.650! -[2026-06-02 21:35:57,495][457608] Updated weights for policy 0, policy_version 18192 (0.0010) -[2026-06-02 21:35:59,380][457608] Updated weights for policy 0, policy_version 18256 (0.0011) -[2026-06-02 21:36:01,288][456401] Fps is (10 sec: 18022.5, 60 sec: 18295.5, 300 sec: 17716.9). Total num frames: 9388032. Throughput: 0: 18113.4. Samples: 9404928. Policy #0 lag: (min: 31.0, avg: 36.1, max: 95.0) -[2026-06-02 21:36:01,289][456401] Avg episode reward: [(0, '4080.000')] -[2026-06-02 21:36:01,376][457608] Updated weights for policy 0, policy_version 18352 (0.0011) -[2026-06-02 21:36:03,057][457608] Updated weights for policy 0, policy_version 18400 (0.0006) -[2026-06-02 21:36:04,898][457608] Updated weights for policy 0, policy_version 18480 (0.0007) -[2026-06-02 21:36:06,288][456401] Fps is (10 sec: 16384.0, 60 sec: 18022.4, 300 sec: 17772.5). Total num frames: 9469952. Throughput: 0: 18045.2. Samples: 9459712. Policy #0 lag: (min: 16.0, avg: 22.2, max: 80.0) -[2026-06-02 21:36:06,289][456401] Avg episode reward: [(0, '3909.400')] -[2026-06-02 21:36:06,521][457608] Updated weights for policy 0, policy_version 18528 (0.0010) -[2026-06-02 21:36:08,195][457608] Updated weights for policy 0, policy_version 18578 (0.0009) -[2026-06-02 21:36:09,879][457608] Updated weights for policy 0, policy_version 18640 (0.0010) -[2026-06-02 21:36:11,288][456401] Fps is (10 sec: 18022.4, 60 sec: 18022.4, 300 sec: 17772.5). Total num frames: 9568256. Throughput: 0: 18158.9. Samples: 9570816. Policy #0 lag: (min: 16.0, avg: 22.2, max: 80.0) -[2026-06-02 21:36:11,289][456401] Avg episode reward: [(0, '3843.200')] -[2026-06-02 21:36:11,533][457608] Updated weights for policy 0, policy_version 18690 (0.0010) -[2026-06-02 21:36:12,016][457608] Updated weights for policy 0, policy_version 18752 (0.0008) -[2026-06-02 21:36:13,658][457608] Updated weights for policy 0, policy_version 18810 (0.0010) -[2026-06-02 21:36:15,363][457608] Updated weights for policy 0, policy_version 18866 (0.0011) -[2026-06-02 21:36:16,288][456401] Fps is (10 sec: 19660.7, 60 sec: 18022.4, 300 sec: 17883.6). Total num frames: 9666560. Throughput: 0: 18147.5. Samples: 9684480. Policy #0 lag: (min: 16.0, avg: 22.2, max: 80.0) -[2026-06-02 21:36:16,289][456401] Avg episode reward: [(0, '3892.600')] -[2026-06-02 21:36:17,104][457608] Updated weights for policy 0, policy_version 18928 (0.0009) -[2026-06-02 21:36:18,789][457608] Updated weights for policy 0, policy_version 18976 (0.0009) -[2026-06-02 21:36:20,502][457608] Updated weights for policy 0, policy_version 19042 (0.0009) -[2026-06-02 21:36:21,288][456401] Fps is (10 sec: 19660.6, 60 sec: 18295.4, 300 sec: 17883.5). Total num frames: 9764864. Throughput: 0: 18215.8. Samples: 9738240. Policy #0 lag: (min: 14.0, avg: 19.5, max: 78.0) -[2026-06-02 21:36:21,289][456401] Avg episode reward: [(0, '3925.650')] -[2026-06-02 21:36:21,293][457535] Saving results/checkpoints_factor_sweeps/demon_attack/context_window/demon_attack_frame_stack_fixed_l4_fs4_seed11/checkpoint_p0/checkpoint_000019072_9764864.pth... -[2026-06-02 21:36:22,265][457608] Updated weights for policy 0, policy_version 19104 (0.0009) -[2026-06-02 21:36:24,113][457608] Updated weights for policy 0, policy_version 19170 (0.0009) -[2026-06-02 21:36:25,637][457535] Signal inference workers to stop experience collection... (900 times) -[2026-06-02 21:36:25,680][457608] InferenceWorker_p0-w0: stopping experience collection (900 times) -[2026-06-02 21:36:25,774][457535] Signal inference workers to resume experience collection... (900 times) -[2026-06-02 21:36:25,775][457608] InferenceWorker_p0-w0: resuming experience collection (900 times) -[2026-06-02 21:36:25,777][457608] Updated weights for policy 0, policy_version 19216 (0.0009) -[2026-06-02 21:36:26,288][456401] Fps is (10 sec: 19660.5, 60 sec: 18568.5, 300 sec: 17994.6). Total num frames: 9863168. Throughput: 0: 18409.2. Samples: 9851392. Policy #0 lag: (min: 14.0, avg: 19.5, max: 78.0) -[2026-06-02 21:36:26,289][456401] Avg episode reward: [(0, '3974.700')] -[2026-06-02 21:36:27,655][457608] Updated weights for policy 0, policy_version 19280 (0.0009) -[2026-06-02 21:36:29,507][457608] Updated weights for policy 0, policy_version 19346 (0.0009) -[2026-06-02 21:36:31,246][457608] Updated weights for policy 0, policy_version 19394 (0.0009) -[2026-06-02 21:36:31,288][456401] Fps is (10 sec: 16384.1, 60 sec: 18022.4, 300 sec: 17883.6). Total num frames: 9928704. Throughput: 0: 18318.2. Samples: 9958912. Policy #0 lag: (min: 14.0, avg: 19.5, max: 78.0) -[2026-06-02 21:36:31,289][456401] Avg episode reward: [(0, '3716.600')] -[2026-06-02 21:36:31,705][457608] Updated weights for policy 0, policy_version 19456 (0.0008) -[2026-06-02 21:36:33,576][457608] Updated weights for policy 0, policy_version 19516 (0.0009) -[2026-06-02 21:36:35,454][457608] Updated weights for policy 0, policy_version 19584 (0.0010) -[2026-06-02 21:36:36,288][456401] Fps is (10 sec: 16384.3, 60 sec: 18022.4, 300 sec: 17939.1). Total num frames: 10027008. Throughput: 0: 18193.1. Samples: 10009600. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 21:36:36,289][456401] Avg episode reward: [(0, '3766.750')] -[2026-06-02 21:36:37,313][457608] Updated weights for policy 0, policy_version 19645 (0.0009) -[2026-06-02 21:36:39,201][457608] Updated weights for policy 0, policy_version 19702 (0.0007) -[2026-06-02 21:36:41,030][457608] Updated weights for policy 0, policy_version 19769 (0.0006) -[2026-06-02 21:36:41,288][456401] Fps is (10 sec: 19660.4, 60 sec: 18431.9, 300 sec: 17994.6). Total num frames: 10125312. Throughput: 0: 18136.1. Samples: 10115072. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 21:36:41,289][456401] Avg episode reward: [(0, '3735.850')] -[2026-06-02 21:36:42,903][457608] Updated weights for policy 0, policy_version 19834 (0.0006) -[2026-06-02 21:36:44,705][457608] Updated weights for policy 0, policy_version 19904 (0.0008) -[2026-06-02 21:36:46,288][456401] Fps is (10 sec: 18022.4, 60 sec: 18295.5, 300 sec: 17939.1). Total num frames: 10207232. Throughput: 0: 18215.8. Samples: 10224640. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 21:36:46,289][456401] Avg episode reward: [(0, '3582.950')] -[2026-06-02 21:36:46,496][457608] Updated weights for policy 0, policy_version 19966 (0.0009) -[2026-06-02 21:36:48,249][457608] Updated weights for policy 0, policy_version 20028 (0.0010) -[2026-06-02 21:36:49,975][457608] Updated weights for policy 0, policy_version 20090 (0.0010) -[2026-06-02 21:36:51,288][456401] Fps is (10 sec: 16384.3, 60 sec: 18022.4, 300 sec: 17994.6). Total num frames: 10289152. Throughput: 0: 18238.6. Samples: 10280448. Policy #0 lag: (min: 7.0, avg: 12.2, max: 71.0) -[2026-06-02 21:36:51,289][456401] Avg episode reward: [(0, '3808.350')] -[2026-06-02 21:36:51,785][457608] Updated weights for policy 0, policy_version 20155 (0.0010) -[2026-06-02 21:36:53,647][457608] Updated weights for policy 0, policy_version 20220 (0.0011) -[2026-06-02 21:36:55,174][457535] Signal inference workers to stop experience collection... (950 times) -[2026-06-02 21:36:55,205][457608] InferenceWorker_p0-w0: stopping experience collection (950 times) -[2026-06-02 21:36:55,277][457535] Signal inference workers to resume experience collection... (950 times) -[2026-06-02 21:36:55,278][457608] InferenceWorker_p0-w0: resuming experience collection (950 times) -[2026-06-02 21:36:55,341][457608] Updated weights for policy 0, policy_version 20276 (0.0011) -[2026-06-02 21:36:56,288][456401] Fps is (10 sec: 18022.4, 60 sec: 18022.4, 300 sec: 17994.6). Total num frames: 10387456. Throughput: 0: 18170.3. Samples: 10388480. Policy #0 lag: (min: 7.0, avg: 12.2, max: 71.0) -[2026-06-02 21:36:56,289][456401] Avg episode reward: [(0, '3769.900')] -[2026-06-02 21:36:57,260][457608] Updated weights for policy 0, policy_version 20348 (0.0010) -[2026-06-02 21:36:59,044][457608] Updated weights for policy 0, policy_version 20404 (0.0009) -[2026-06-02 21:37:00,985][457608] Updated weights for policy 0, policy_version 20478 (0.0010) -[2026-06-02 21:37:01,288][456401] Fps is (10 sec: 19660.9, 60 sec: 18295.5, 300 sec: 18105.7). Total num frames: 10485760. Throughput: 0: 17965.5. Samples: 10492928. Policy #0 lag: (min: 7.0, avg: 12.2, max: 71.0) -[2026-06-02 21:37:01,288][456401] Avg episode reward: [(0, '3985.250')] -[2026-06-02 21:37:02,853][457608] Updated weights for policy 0, policy_version 20544 (0.0010) -[2026-06-02 21:37:06,081][457608] Updated weights for policy 0, policy_version 20610 (0.0009) -[2026-06-02 21:37:06,288][456401] Fps is (10 sec: 18022.5, 60 sec: 18295.5, 300 sec: 18050.2). Total num frames: 10567680. Throughput: 0: 18022.4. Samples: 10549248. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) -[2026-06-02 21:37:06,288][456401] Avg episode reward: [(0, '4203.000')] -[2026-06-02 21:37:06,551][457535] Saving new best policy, reward=4203.000! -[2026-06-02 21:37:06,575][457608] Updated weights for policy 0, policy_version 20672 (0.0011) -[2026-06-02 21:37:08,395][457608] Updated weights for policy 0, policy_version 20734 (0.0010) -[2026-06-02 21:37:10,069][457608] Updated weights for policy 0, policy_version 20794 (0.0010) -[2026-06-02 21:37:11,288][456401] Fps is (10 sec: 16384.0, 60 sec: 18022.4, 300 sec: 17994.6). Total num frames: 10649600. Throughput: 0: 17863.2. Samples: 10655232. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) -[2026-06-02 21:37:11,289][456401] Avg episode reward: [(0, '4156.350')] -[2026-06-02 21:37:11,918][457608] Updated weights for policy 0, policy_version 20863 (0.0010) -[2026-06-02 21:37:13,819][457608] Updated weights for policy 0, policy_version 20928 (0.0011) -[2026-06-02 21:37:15,624][457608] Updated weights for policy 0, policy_version 20992 (0.0011) -[2026-06-02 21:37:16,288][456401] Fps is (10 sec: 18022.4, 60 sec: 18022.4, 300 sec: 18077.9). Total num frames: 10747904. Throughput: 0: 17851.7. Samples: 10762240. Policy #0 lag: (min: 15.0, avg: 19.4, max: 79.0) -[2026-06-02 21:37:16,289][456401] Avg episode reward: [(0, '4127.450')] -[2026-06-02 21:37:17,396][457608] Updated weights for policy 0, policy_version 21056 (0.0010) -[2026-06-02 21:37:20,668][457608] Updated weights for policy 0, policy_version 21139 (0.0009) -[2026-06-02 21:37:21,288][456401] Fps is (10 sec: 19660.7, 60 sec: 18022.4, 300 sec: 18105.7). Total num frames: 10846208. Throughput: 0: 17931.4. Samples: 10816512. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:37:21,289][456401] Avg episode reward: [(0, '4145.800')] -[2026-06-02 21:37:22,563][457608] Updated weights for policy 0, policy_version 21218 (0.0009) -[2026-06-02 21:37:24,239][457608] Updated weights for policy 0, policy_version 21266 (0.0010) -[2026-06-02 21:37:26,062][457535] Signal inference workers to stop experience collection... (1000 times) -[2026-06-02 21:37:26,089][457608] InferenceWorker_p0-w0: stopping experience collection (1000 times) -[2026-06-02 21:37:26,164][457535] Signal inference workers to resume experience collection... (1000 times) -[2026-06-02 21:37:26,165][457608] InferenceWorker_p0-w0: resuming experience collection (1000 times) -[2026-06-02 21:37:26,211][457608] Updated weights for policy 0, policy_version 21347 (0.0011) -[2026-06-02 21:37:26,288][456401] Fps is (10 sec: 18841.7, 60 sec: 17885.9, 300 sec: 18077.9). Total num frames: 10936320. Throughput: 0: 18033.9. Samples: 10926592. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:37:26,289][456401] Avg episode reward: [(0, '4239.600')] -[2026-06-02 21:37:26,439][457535] Saving new best policy, reward=4239.600! -[2026-06-02 21:37:28,079][457608] Updated weights for policy 0, policy_version 21424 (0.0011) -[2026-06-02 21:37:29,790][457608] Updated weights for policy 0, policy_version 21488 (0.0010) -[2026-06-02 21:37:31,288][456401] Fps is (10 sec: 16384.0, 60 sec: 18022.4, 300 sec: 18105.7). Total num frames: 11010048. Throughput: 0: 18136.2. Samples: 11040768. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:37:31,289][456401] Avg episode reward: [(0, '4336.750')] -[2026-06-02 21:37:31,414][457535] Saving new best policy, reward=4336.750! -[2026-06-02 21:37:31,415][457608] Updated weights for policy 0, policy_version 21536 (0.0008) -[2026-06-02 21:37:32,923][457608] Updated weights for policy 0, policy_version 21584 (0.0006) -[2026-06-02 21:37:34,864][457608] Updated weights for policy 0, policy_version 21664 (0.0008) -[2026-06-02 21:37:36,288][456401] Fps is (10 sec: 17203.1, 60 sec: 18022.4, 300 sec: 18105.7). Total num frames: 11108352. Throughput: 0: 18124.8. Samples: 11096064. Policy #0 lag: (min: 58.0, avg: 63.5, max: 122.0) -[2026-06-02 21:37:36,288][456401] Avg episode reward: [(0, '4417.250')] -[2026-06-02 21:37:36,292][457535] Saving new best policy, reward=4417.250! -[2026-06-02 21:37:36,577][457608] Updated weights for policy 0, policy_version 21728 (0.0010) -[2026-06-02 21:37:38,375][457608] Updated weights for policy 0, policy_version 21792 (0.0010) -[2026-06-02 21:37:40,171][457608] Updated weights for policy 0, policy_version 21856 (0.0010) -[2026-06-02 21:37:41,288][456401] Fps is (10 sec: 19660.9, 60 sec: 18022.5, 300 sec: 18133.5). Total num frames: 11206656. Throughput: 0: 18204.5. Samples: 11207680. Policy #0 lag: (min: 58.0, avg: 63.5, max: 122.0) -[2026-06-02 21:37:41,288][456401] Avg episode reward: [(0, '4373.850')] -[2026-06-02 21:37:41,800][457608] Updated weights for policy 0, policy_version 21906 (0.0009) -[2026-06-02 21:37:43,521][457608] Updated weights for policy 0, policy_version 21968 (0.0009) -[2026-06-02 21:37:45,346][457608] Updated weights for policy 0, policy_version 22048 (0.0010) -[2026-06-02 21:37:46,288][456401] Fps is (10 sec: 19660.8, 60 sec: 18295.5, 300 sec: 18216.8). Total num frames: 11304960. Throughput: 0: 18420.6. Samples: 11321856. Policy #0 lag: (min: 58.0, avg: 63.5, max: 122.0) -[2026-06-02 21:37:46,289][456401] Avg episode reward: [(0, '4448.200')] -[2026-06-02 21:37:46,293][457535] Saving new best policy, reward=4448.200! -[2026-06-02 21:37:47,010][457608] Updated weights for policy 0, policy_version 22112 (0.0010) -[2026-06-02 21:37:48,740][457608] Updated weights for policy 0, policy_version 22178 (0.0008) -[2026-06-02 21:37:50,513][457608] Updated weights for policy 0, policy_version 22240 (0.0011) -[2026-06-02 21:37:51,288][456401] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 18216.8). Total num frames: 11403264. Throughput: 0: 18432.0. Samples: 11378688. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 21:37:51,288][456401] Avg episode reward: [(0, '4425.800')] -[2026-06-02 21:37:52,226][457608] Updated weights for policy 0, policy_version 22290 (0.0010) -[2026-06-02 21:37:54,075][457608] Updated weights for policy 0, policy_version 22368 (0.0008) -[2026-06-02 21:37:55,762][457535] Signal inference workers to stop experience collection... (1050 times) -[2026-06-02 21:37:55,790][457608] InferenceWorker_p0-w0: stopping experience collection (1050 times) -[2026-06-02 21:37:55,864][457535] Signal inference workers to resume experience collection... (1050 times) -[2026-06-02 21:37:55,864][457608] InferenceWorker_p0-w0: resuming experience collection (1050 times) -[2026-06-02 21:37:56,095][457608] Updated weights for policy 0, policy_version 22448 (0.0008) -[2026-06-02 21:37:56,288][456401] Fps is (10 sec: 19661.0, 60 sec: 18568.6, 300 sec: 18244.6). Total num frames: 11501568. Throughput: 0: 18534.4. Samples: 11489280. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 21:37:56,288][456401] Avg episode reward: [(0, '4472.050')] -[2026-06-02 21:37:56,291][457535] Saving new best policy, reward=4472.050! -[2026-06-02 21:37:58,089][457608] Updated weights for policy 0, policy_version 22516 (0.0011) -[2026-06-02 21:37:59,810][457608] Updated weights for policy 0, policy_version 22585 (0.0009) -[2026-06-02 21:38:01,288][456401] Fps is (10 sec: 17203.1, 60 sec: 18158.9, 300 sec: 18244.6). Total num frames: 11575296. Throughput: 0: 18614.0. Samples: 11599872. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 21:38:01,289][456401] Avg episode reward: [(0, '4386.400')] -[2026-06-02 21:38:01,549][457608] Updated weights for policy 0, policy_version 22649 (0.0010) -[2026-06-02 21:38:03,426][457608] Updated weights for policy 0, policy_version 22714 (0.0010) -[2026-06-02 21:38:05,204][457608] Updated weights for policy 0, policy_version 22773 (0.0011) -[2026-06-02 21:38:06,288][456401] Fps is (10 sec: 16383.8, 60 sec: 18295.5, 300 sec: 18216.8). Total num frames: 11665408. Throughput: 0: 18523.0. Samples: 11650048. Policy #0 lag: (min: 12.0, avg: 17.2, max: 76.0) -[2026-06-02 21:38:06,289][456401] Avg episode reward: [(0, '4408.550')] -[2026-06-02 21:38:06,896][457608] Updated weights for policy 0, policy_version 22838 (0.0010) -[2026-06-02 21:38:08,763][457608] Updated weights for policy 0, policy_version 22900 (0.0011) -[2026-06-02 21:38:10,489][457608] Updated weights for policy 0, policy_version 22965 (0.0010) -[2026-06-02 21:38:11,288][456401] Fps is (10 sec: 18841.6, 60 sec: 18568.5, 300 sec: 18216.8). Total num frames: 11763712. Throughput: 0: 18614.0. Samples: 11764224. Policy #0 lag: (min: 12.0, avg: 17.2, max: 76.0) -[2026-06-02 21:38:11,289][456401] Avg episode reward: [(0, '4424.150')] -[2026-06-02 21:38:12,251][457608] Updated weights for policy 0, policy_version 23024 (0.0010) -[2026-06-02 21:38:13,897][457608] Updated weights for policy 0, policy_version 23088 (0.0010) -[2026-06-02 21:38:15,725][457608] Updated weights for policy 0, policy_version 23152 (0.0009) -[2026-06-02 21:38:16,288][456401] Fps is (10 sec: 19660.9, 60 sec: 18568.5, 300 sec: 18300.1). Total num frames: 11862016. Throughput: 0: 18466.2. Samples: 11871744. Policy #0 lag: (min: 12.0, avg: 17.2, max: 76.0) -[2026-06-02 21:38:16,289][456401] Avg episode reward: [(0, '4425.400')] -[2026-06-02 21:38:17,610][457608] Updated weights for policy 0, policy_version 23218 (0.0010) -[2026-06-02 21:38:19,353][457608] Updated weights for policy 0, policy_version 23282 (0.0010) -[2026-06-02 21:38:20,955][457608] Updated weights for policy 0, policy_version 23344 (0.0010) -[2026-06-02 21:38:21,288][456401] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 18327.9). Total num frames: 11960320. Throughput: 0: 18500.3. Samples: 11928576. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-02 21:38:21,289][456401] Avg episode reward: [(0, '4544.000')] -[2026-06-02 21:38:21,292][457535] Saving new best policy, reward=4544.000! -[2026-06-02 21:38:22,703][457608] Updated weights for policy 0, policy_version 23408 (0.0010) -[2026-06-02 21:38:24,488][457535] Signal inference workers to stop experience collection... (1100 times) -[2026-06-02 21:38:24,514][457608] InferenceWorker_p0-w0: stopping experience collection (1100 times) -[2026-06-02 21:38:24,591][457535] Signal inference workers to resume experience collection... (1100 times) -[2026-06-02 21:38:24,591][457608] InferenceWorker_p0-w0: resuming experience collection (1100 times) -[2026-06-02 21:38:24,593][457608] Updated weights for policy 0, policy_version 23472 (0.0010) -[2026-06-02 21:38:26,163][457608] Updated weights for policy 0, policy_version 23520 (0.0009) -[2026-06-02 21:38:26,288][456401] Fps is (10 sec: 18841.6, 60 sec: 18568.5, 300 sec: 18300.1). Total num frames: 12050432. Throughput: 0: 18488.9. Samples: 12039680. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-02 21:38:26,289][456401] Avg episode reward: [(0, '4650.850')] -[2026-06-02 21:38:26,426][457535] Saving new best policy, reward=4650.850! -[2026-06-02 21:38:27,742][457608] Updated weights for policy 0, policy_version 23568 (0.0010) -[2026-06-02 21:38:29,367][457608] Updated weights for policy 0, policy_version 23618 (0.0010) -[2026-06-02 21:38:31,265][457608] Updated weights for policy 0, policy_version 23696 (0.0010) -[2026-06-02 21:38:31,288][456401] Fps is (10 sec: 17203.3, 60 sec: 18705.1, 300 sec: 18244.6). Total num frames: 12132352. Throughput: 0: 18545.8. Samples: 12156416. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-02 21:38:31,289][456401] Avg episode reward: [(0, '4766.150')] -[2026-06-02 21:38:31,482][457535] Saving new best policy, reward=4766.150! -[2026-06-02 21:38:31,691][457608] Updated weights for policy 0, policy_version 23744 (0.0008) -[2026-06-02 21:38:33,324][457608] Updated weights for policy 0, policy_version 23808 (0.0009) -[2026-06-02 21:38:35,042][457608] Updated weights for policy 0, policy_version 23865 (0.0010) -[2026-06-02 21:38:36,288][456401] Fps is (10 sec: 17203.1, 60 sec: 18568.5, 300 sec: 18272.3). Total num frames: 12222464. Throughput: 0: 18511.6. Samples: 12211712. Policy #0 lag: (min: 53.0, avg: 58.1, max: 117.0) -[2026-06-02 21:38:36,289][456401] Avg episode reward: [(0, '4759.000')] -[2026-06-02 21:38:36,789][457608] Updated weights for policy 0, policy_version 23931 (0.0010) -[2026-06-02 21:38:38,642][457608] Updated weights for policy 0, policy_version 23996 (0.0010) -[2026-06-02 21:38:40,378][457608] Updated weights for policy 0, policy_version 24056 (0.0010) -[2026-06-02 21:38:41,288][456401] Fps is (10 sec: 18841.5, 60 sec: 18568.5, 300 sec: 18327.9). Total num frames: 12320768. Throughput: 0: 18500.2. Samples: 12321792. Policy #0 lag: (min: 53.0, avg: 58.1, max: 117.0) -[2026-06-02 21:38:41,289][456401] Avg episode reward: [(0, '4826.250')] -[2026-06-02 21:38:41,292][457535] Saving new best policy, reward=4826.250! -[2026-06-02 21:38:42,086][457608] Updated weights for policy 0, policy_version 24116 (0.0010) -[2026-06-02 21:38:43,610][457608] Updated weights for policy 0, policy_version 24176 (0.0008) -[2026-06-02 21:38:45,453][457608] Updated weights for policy 0, policy_version 24242 (0.0009) -[2026-06-02 21:38:46,288][456401] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 18327.9). Total num frames: 12419072. Throughput: 0: 18568.5. Samples: 12435456. Policy #0 lag: (min: 53.0, avg: 58.1, max: 117.0) -[2026-06-02 21:38:46,289][456401] Avg episode reward: [(0, '4876.450')] -[2026-06-02 21:38:46,292][457535] Saving new best policy, reward=4876.450! -[2026-06-02 21:38:47,101][457608] Updated weights for policy 0, policy_version 24290 (0.0009) -[2026-06-02 21:38:48,829][457608] Updated weights for policy 0, policy_version 24368 (0.0010) -[2026-06-02 21:38:50,447][457608] Updated weights for policy 0, policy_version 24418 (0.0009) -[2026-06-02 21:38:51,288][456401] Fps is (10 sec: 19660.9, 60 sec: 18568.5, 300 sec: 18327.9). Total num frames: 12517376. Throughput: 0: 18705.1. Samples: 12491776. Policy #0 lag: (min: 53.0, avg: 58.1, max: 117.0) -[2026-06-02 21:38:51,289][456401] Avg episode reward: [(0, '4944.250')] -[2026-06-02 21:38:51,292][457535] Saving new best policy, reward=4944.250! -[2026-06-02 21:38:52,186][457608] Updated weights for policy 0, policy_version 24480 (0.0010) -[2026-06-02 21:38:53,794][457535] Signal inference workers to stop experience collection... (1150 times) -[2026-06-02 21:38:53,823][457608] InferenceWorker_p0-w0: stopping experience collection (1150 times) -[2026-06-02 21:38:53,839][457608] Updated weights for policy 0, policy_version 24530 (0.0009) -[2026-06-02 21:38:53,898][457535] Signal inference workers to resume experience collection... (1150 times) -[2026-06-02 21:38:53,899][457608] InferenceWorker_p0-w0: resuming experience collection (1150 times) -[2026-06-02 21:38:55,403][457608] Updated weights for policy 0, policy_version 24577 (0.0009) -[2026-06-02 21:38:56,288][456401] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 18383.4). Total num frames: 12615680. Throughput: 0: 18796.1. Samples: 12610048. Policy #0 lag: (min: 3.0, avg: 8.2, max: 67.0) -[2026-06-02 21:38:56,289][456401] Avg episode reward: [(0, '4945.100')] -[2026-06-02 21:38:56,292][457535] Saving new best policy, reward=4945.100! -[2026-06-02 21:38:57,227][457608] Updated weights for policy 0, policy_version 24642 (0.0010) -[2026-06-02 21:38:57,676][457608] Updated weights for policy 0, policy_version 24704 (0.0010) -[2026-06-02 21:39:00,678][457608] Updated weights for policy 0, policy_version 24770 (0.0006) -[2026-06-02 21:39:01,288][456401] Fps is (10 sec: 19660.8, 60 sec: 18978.1, 300 sec: 18438.9). Total num frames: 12713984. Throughput: 0: 18841.6. Samples: 12719616. Policy #0 lag: (min: 3.0, avg: 8.2, max: 67.0) -[2026-06-02 21:39:01,289][456401] Avg episode reward: [(0, '4999.500')] -[2026-06-02 21:39:01,292][457535] Saving new best policy, reward=4999.500! -[2026-06-02 21:39:02,516][457608] Updated weights for policy 0, policy_version 24834 (0.0009) -[2026-06-02 21:39:04,391][457608] Updated weights for policy 0, policy_version 24912 (0.0010) -[2026-06-02 21:39:06,192][457608] Updated weights for policy 0, policy_version 24976 (0.0010) -[2026-06-02 21:39:06,288][456401] Fps is (10 sec: 17203.2, 60 sec: 18705.1, 300 sec: 18355.6). Total num frames: 12787712. Throughput: 0: 18841.6. Samples: 12776448. Policy #0 lag: (min: 3.0, avg: 8.2, max: 67.0) -[2026-06-02 21:39:06,289][456401] Avg episode reward: [(0, '5019.550')] -[2026-06-02 21:39:06,421][457535] Saving new best policy, reward=5019.550! -[2026-06-02 21:39:06,621][457608] Updated weights for policy 0, policy_version 25024 (0.0009) -[2026-06-02 21:39:08,386][457608] Updated weights for policy 0, policy_version 25084 (0.0011) -[2026-06-02 21:39:10,194][457608] Updated weights for policy 0, policy_version 25144 (0.0010) -[2026-06-02 21:39:11,288][456401] Fps is (10 sec: 16384.0, 60 sec: 18568.5, 300 sec: 18327.9). Total num frames: 12877824. Throughput: 0: 18693.7. Samples: 12880896. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 21:39:11,289][456401] Avg episode reward: [(0, '5142.300')] -[2026-06-02 21:39:11,292][457535] Saving new best policy, reward=5142.300! -[2026-06-02 21:39:12,034][457608] Updated weights for policy 0, policy_version 25208 (0.0010) -[2026-06-02 21:39:13,763][457608] Updated weights for policy 0, policy_version 25266 (0.0010) -[2026-06-02 21:39:15,473][457608] Updated weights for policy 0, policy_version 25314 (0.0009) -[2026-06-02 21:39:16,288][456401] Fps is (10 sec: 18841.6, 60 sec: 18568.5, 300 sec: 18327.9). Total num frames: 12976128. Throughput: 0: 18534.4. Samples: 12990464. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 21:39:16,289][456401] Avg episode reward: [(0, '5204.650')] -[2026-06-02 21:39:16,292][457535] Saving new best policy, reward=5204.650! -[2026-06-02 21:39:17,309][457608] Updated weights for policy 0, policy_version 25376 (0.0009) -[2026-06-02 21:39:19,031][457608] Updated weights for policy 0, policy_version 25426 (0.0010) -[2026-06-02 21:39:20,712][457608] Updated weights for policy 0, policy_version 25488 (0.0009) -[2026-06-02 21:39:21,288][456401] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 18438.9). Total num frames: 13074432. Throughput: 0: 18500.3. Samples: 13044224. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 21:39:21,289][456401] Avg episode reward: [(0, '5554.750')] -[2026-06-02 21:39:21,292][457535] Saving new best policy, reward=5554.750! -[2026-06-02 21:39:22,571][457608] Updated weights for policy 0, policy_version 25552 (0.0009) -[2026-06-02 21:39:22,959][457608] Updated weights for policy 0, policy_version 25600 (0.0009) -[2026-06-02 21:39:24,116][457535] Signal inference workers to stop experience collection... (1200 times) -[2026-06-02 21:39:24,166][457608] InferenceWorker_p0-w0: stopping experience collection (1200 times) -[2026-06-02 21:39:24,242][457535] Signal inference workers to resume experience collection... (1200 times) -[2026-06-02 21:39:24,242][457608] InferenceWorker_p0-w0: resuming experience collection (1200 times) -[2026-06-02 21:39:25,895][457608] Updated weights for policy 0, policy_version 25680 (0.0010) -[2026-06-02 21:39:26,288][456401] Fps is (10 sec: 19660.8, 60 sec: 18705.1, 300 sec: 18438.9). Total num frames: 13172736. Throughput: 0: 18545.8. Samples: 13156352. Policy #0 lag: (min: 15.0, avg: 20.4, max: 79.0) -[2026-06-02 21:39:26,289][456401] Avg episode reward: [(0, '5449.550')] -[2026-06-02 21:39:27,675][457608] Updated weights for policy 0, policy_version 25744 (0.0010) -[2026-06-02 21:39:29,276][457608] Updated weights for policy 0, policy_version 25794 (0.0009) -[2026-06-02 21:39:29,763][457608] Updated weights for policy 0, policy_version 25856 (0.0009) -[2026-06-02 21:39:31,288][456401] Fps is (10 sec: 18022.4, 60 sec: 18705.1, 300 sec: 18383.4). Total num frames: 13254656. Throughput: 0: 18579.9. Samples: 13271552. Policy #0 lag: (min: 15.0, avg: 21.4, max: 79.0) -[2026-06-02 21:39:31,289][456401] Avg episode reward: [(0, '5407.500')] -[2026-06-02 21:39:32,916][457608] Updated weights for policy 0, policy_version 25921 (0.0010) -[2026-06-02 21:39:33,437][457608] Updated weights for policy 0, policy_version 25984 (0.0010) -[2026-06-02 21:39:36,288][456401] Fps is (10 sec: 16384.0, 60 sec: 18568.5, 300 sec: 18327.9). Total num frames: 13336576. Throughput: 0: 18443.4. Samples: 13321728. Policy #0 lag: (min: 15.0, avg: 21.4, max: 79.0) -[2026-06-02 21:39:36,289][456401] Avg episode reward: [(0, '5462.300')] -[2026-06-02 21:39:36,555][457608] Updated weights for policy 0, policy_version 26050 (0.0010) -[2026-06-02 21:39:36,980][457608] Updated weights for policy 0, policy_version 26108 (0.0010) -[2026-06-02 21:39:38,688][457608] Updated weights for policy 0, policy_version 26168 (0.0010) -[2026-06-02 21:39:40,415][457608] Updated weights for policy 0, policy_version 26235 (0.0010) -[2026-06-02 21:39:41,288][456401] Fps is (10 sec: 18022.4, 60 sec: 18568.5, 300 sec: 18327.9). Total num frames: 13434880. Throughput: 0: 18352.4. Samples: 13435904. Policy #0 lag: (min: 15.0, avg: 21.4, max: 79.0) -[2026-06-02 21:39:41,289][456401] Avg episode reward: [(0, '5332.950')] -[2026-06-02 21:39:42,275][457608] Updated weights for policy 0, policy_version 26294 (0.0010) -[2026-06-02 21:39:44,157][457608] Updated weights for policy 0, policy_version 26358 (0.0010) -[2026-06-02 21:39:45,845][457608] Updated weights for policy 0, policy_version 26418 (0.0010) -[2026-06-02 21:39:46,288][456401] Fps is (10 sec: 19660.6, 60 sec: 18568.5, 300 sec: 18383.4). Total num frames: 13533184. Throughput: 0: 18249.9. Samples: 13540864. Policy #0 lag: (min: 14.0, avg: 19.2, max: 78.0) -[2026-06-02 21:39:46,289][456401] Avg episode reward: [(0, '5362.600')] -[2026-06-02 21:39:47,616][457608] Updated weights for policy 0, policy_version 26482 (0.0010) -[2026-06-02 21:39:49,303][457608] Updated weights for policy 0, policy_version 26544 (0.0010) -[2026-06-02 21:39:50,910][457608] Updated weights for policy 0, policy_version 26595 (0.0009) -[2026-06-02 21:39:51,288][456401] Fps is (10 sec: 19660.7, 60 sec: 18568.5, 300 sec: 18438.9). Total num frames: 13631488. Throughput: 0: 18306.8. Samples: 13600256. Policy #0 lag: (min: 14.0, avg: 19.2, max: 78.0) -[2026-06-02 21:39:51,289][456401] Avg episode reward: [(0, '5316.850')] -[2026-06-02 21:39:52,614][457535] Signal inference workers to stop experience collection... (1250 times) -[2026-06-02 21:39:52,615][457608] Updated weights for policy 0, policy_version 26656 (0.0010) -[2026-06-02 21:39:52,641][457608] InferenceWorker_p0-w0: stopping experience collection (1250 times) -[2026-06-02 21:39:52,717][457535] Signal inference workers to resume experience collection... (1250 times) -[2026-06-02 21:39:52,718][457608] InferenceWorker_p0-w0: resuming experience collection (1250 times) -[2026-06-02 21:39:54,587][457608] Updated weights for policy 0, policy_version 26743 (0.0010) -[2026-06-02 21:39:56,288][456401] Fps is (10 sec: 17203.4, 60 sec: 18158.9, 300 sec: 18355.6). Total num frames: 13705216. Throughput: 0: 18443.4. Samples: 13710848. Policy #0 lag: (min: 14.0, avg: 19.2, max: 78.0) -[2026-06-02 21:39:56,288][456401] Avg episode reward: [(0, '5245.150')] -[2026-06-02 21:39:56,309][457608] Updated weights for policy 0, policy_version 26784 (0.0009) -[2026-06-02 21:39:57,891][457608] Updated weights for policy 0, policy_version 26832 (0.0009) -[2026-06-02 21:39:59,584][457608] Updated weights for policy 0, policy_version 26896 (0.0010) -[2026-06-02 21:40:01,288][456401] Fps is (10 sec: 16384.1, 60 sec: 18022.4, 300 sec: 18327.9). Total num frames: 13795328. Throughput: 0: 18511.7. Samples: 13823488. Policy #0 lag: (min: 14.0, avg: 19.2, max: 78.0) -[2026-06-02 21:40:01,288][456401] Avg episode reward: [(0, '5513.250')] -[2026-06-02 21:40:01,445][457608] Updated weights for policy 0, policy_version 26960 (0.0009) -[2026-06-02 21:40:03,289][457608] Updated weights for policy 0, policy_version 27026 (0.0009) -[2026-06-02 21:40:04,896][457608] Updated weights for policy 0, policy_version 27074 (0.0010) -[2026-06-02 21:40:06,288][456401] Fps is (10 sec: 18841.5, 60 sec: 18432.0, 300 sec: 18327.9). Total num frames: 13893632. Throughput: 0: 18511.6. Samples: 13877248. Policy #0 lag: (min: 31.0, avg: 37.4, max: 95.0) -[2026-06-02 21:40:06,289][456401] Avg episode reward: [(0, '5751.500')] -[2026-06-02 21:40:06,293][457535] Saving new best policy, reward=5751.500! -[2026-06-02 21:40:06,703][457608] Updated weights for policy 0, policy_version 27138 (0.0010) -[2026-06-02 21:40:08,343][457608] Updated weights for policy 0, policy_version 27202 (0.0010) -[2026-06-02 21:40:08,780][457608] Updated weights for policy 0, policy_version 27260 (0.0010) -[2026-06-02 21:40:10,579][457608] Updated weights for policy 0, policy_version 27327 (0.0010) -[2026-06-02 21:40:11,288][456401] Fps is (10 sec: 19660.6, 60 sec: 18568.5, 300 sec: 18327.9). Total num frames: 13991936. Throughput: 0: 18568.5. Samples: 13991936. Policy #0 lag: (min: 31.0, avg: 37.4, max: 95.0) -[2026-06-02 21:40:11,289][456401] Avg episode reward: [(0, '5859.350')] -[2026-06-02 21:40:11,292][457535] Saving new best policy, reward=5859.350! -[2026-06-02 21:40:12,332][457608] Updated weights for policy 0, policy_version 27387 (0.0010) -[2026-06-02 21:40:13,901][457608] Updated weights for policy 0, policy_version 27446 (0.0010) -[2026-06-02 21:40:15,668][457608] Updated weights for policy 0, policy_version 27508 (0.0010) -[2026-06-02 21:40:16,288][456401] Fps is (10 sec: 19660.9, 60 sec: 18568.5, 300 sec: 18383.4). Total num frames: 14090240. Throughput: 0: 18454.7. Samples: 14102016. Policy #0 lag: (min: 31.0, avg: 37.4, max: 95.0) -[2026-06-02 21:40:16,289][456401] Avg episode reward: [(0, '5999.900')] -[2026-06-02 21:40:16,292][457535] Saving new best policy, reward=5999.900! -[2026-06-02 21:40:17,433][457608] Updated weights for policy 0, policy_version 27570 (0.0011) -[2026-06-02 21:40:19,117][457608] Updated weights for policy 0, policy_version 27634 (0.0009) -[2026-06-02 21:40:20,902][457608] Updated weights for policy 0, policy_version 27702 (0.0010) -[2026-06-02 21:40:21,288][456401] Fps is (10 sec: 19661.0, 60 sec: 18568.5, 300 sec: 18438.9). Total num frames: 14188544. Throughput: 0: 18614.0. Samples: 14159360. Policy #0 lag: (min: 31.0, avg: 37.4, max: 95.0) -[2026-06-02 21:40:21,289][456401] Avg episode reward: [(0, '5957.800')] -[2026-06-02 21:40:22,352][457535] Signal inference workers to stop experience collection... (1300 times) -[2026-06-02 21:40:22,380][457608] InferenceWorker_p0-w0: stopping experience collection (1300 times) -[2026-06-02 21:40:22,445][457535] Signal inference workers to resume experience collection... (1300 times) -[2026-06-02 21:40:22,446][457608] InferenceWorker_p0-w0: resuming experience collection (1300 times) -[2026-06-02 21:40:22,639][457608] Updated weights for policy 0, policy_version 27770 (0.0010) -[2026-06-02 21:40:24,426][457608] Updated weights for policy 0, policy_version 27840 (0.0010) -[2026-06-02 21:40:26,288][456401] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 18438.9). Total num frames: 14286848. Throughput: 0: 18568.5. Samples: 14271488. Policy #0 lag: (min: 3.0, avg: 8.2, max: 67.0) -[2026-06-02 21:40:26,289][456401] Avg episode reward: [(0, '6034.350')] -[2026-06-02 21:40:26,293][457535] Saving new best policy, reward=6034.350! -[2026-06-02 21:40:27,508][457608] Updated weights for policy 0, policy_version 27906 (0.0010) -[2026-06-02 21:40:29,359][457608] Updated weights for policy 0, policy_version 27987 (0.0010) -[2026-06-02 21:40:31,182][457608] Updated weights for policy 0, policy_version 28051 (0.0010) -[2026-06-02 21:40:31,288][456401] Fps is (10 sec: 18022.4, 60 sec: 18568.5, 300 sec: 18383.4). Total num frames: 14368768. Throughput: 0: 18784.7. Samples: 14386176. Policy #0 lag: (min: 3.0, avg: 8.2, max: 67.0) -[2026-06-02 21:40:31,289][456401] Avg episode reward: [(0, '5935.500')] -[2026-06-02 21:40:32,975][457608] Updated weights for policy 0, policy_version 28128 (0.0010) -[2026-06-02 21:40:34,953][457608] Updated weights for policy 0, policy_version 28209 (0.0010) -[2026-06-02 21:40:36,288][456401] Fps is (10 sec: 16384.0, 60 sec: 18568.5, 300 sec: 18411.2). Total num frames: 14450688. Throughput: 0: 18648.2. Samples: 14439424. Policy #0 lag: (min: 3.0, avg: 8.2, max: 67.0) -[2026-06-02 21:40:36,289][456401] Avg episode reward: [(0, '5995.600')] -[2026-06-02 21:40:36,893][457608] Updated weights for policy 0, policy_version 28277 (0.0010) -[2026-06-02 21:40:38,649][457608] Updated weights for policy 0, policy_version 28339 (0.0010) -[2026-06-02 21:40:40,471][457608] Updated weights for policy 0, policy_version 28406 (0.0009) -[2026-06-02 21:40:41,288][456401] Fps is (10 sec: 18022.3, 60 sec: 18568.5, 300 sec: 18438.9). Total num frames: 14548992. Throughput: 0: 18636.8. Samples: 14549504. Policy #0 lag: (min: 3.0, avg: 8.2, max: 67.0) -[2026-06-02 21:40:41,289][456401] Avg episode reward: [(0, '5811.100')] -[2026-06-02 21:40:42,269][457608] Updated weights for policy 0, policy_version 28472 (0.0010) -[2026-06-02 21:40:43,996][457608] Updated weights for policy 0, policy_version 28538 (0.0012) -[2026-06-02 21:40:45,768][457608] Updated weights for policy 0, policy_version 28600 (0.0014) -[2026-06-02 21:40:46,288][456401] Fps is (10 sec: 19660.8, 60 sec: 18568.6, 300 sec: 18438.9). Total num frames: 14647296. Throughput: 0: 18534.4. Samples: 14657536. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) -[2026-06-02 21:40:46,289][456401] Avg episode reward: [(0, '5691.000')] -[2026-06-02 21:40:47,593][457608] Updated weights for policy 0, policy_version 28669 (0.0014) -[2026-06-02 21:40:49,352][457608] Updated weights for policy 0, policy_version 28730 (0.0014) -[2026-06-02 21:40:51,143][457608] Updated weights for policy 0, policy_version 28798 (0.0014) -[2026-06-02 21:40:51,288][456401] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 18438.9). Total num frames: 14745600. Throughput: 0: 18614.0. Samples: 14714880. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) -[2026-06-02 21:40:51,289][456401] Avg episode reward: [(0, '5776.450')] -[2026-06-02 21:40:52,334][457535] Signal inference workers to stop experience collection... (1350 times) -[2026-06-02 21:40:52,360][457608] InferenceWorker_p0-w0: stopping experience collection (1350 times) -[2026-06-02 21:40:52,459][457535] Signal inference workers to resume experience collection... (1350 times) -[2026-06-02 21:40:52,460][457608] InferenceWorker_p0-w0: resuming experience collection (1350 times) -[2026-06-02 21:40:52,853][457608] Updated weights for policy 0, policy_version 28864 (0.0011) -[2026-06-02 21:40:55,923][457608] Updated weights for policy 0, policy_version 28929 (0.0010) -[2026-06-02 21:40:56,288][456401] Fps is (10 sec: 18841.6, 60 sec: 18841.6, 300 sec: 18466.7). Total num frames: 14835712. Throughput: 0: 18534.4. Samples: 14825984. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) -[2026-06-02 21:40:56,289][456401] Avg episode reward: [(0, '5679.550')] -[2026-06-02 21:40:57,787][457608] Updated weights for policy 0, policy_version 29008 (0.0010) -[2026-06-02 21:40:59,467][457608] Updated weights for policy 0, policy_version 29058 (0.0010) -[2026-06-02 21:40:59,878][457608] Updated weights for policy 0, policy_version 29114 (0.0009) -[2026-06-02 21:41:01,288][456401] Fps is (10 sec: 17203.2, 60 sec: 18705.1, 300 sec: 18466.7). Total num frames: 14917632. Throughput: 0: 18670.9. Samples: 14942208. Policy #0 lag: (min: 15.0, avg: 20.5, max: 79.0) -[2026-06-02 21:41:01,289][456401] Avg episode reward: [(0, '5727.850')] -[2026-06-02 21:41:01,560][457608] Updated weights for policy 0, policy_version 29179 (0.0010) -[2026-06-02 21:41:03,328][457608] Updated weights for policy 0, policy_version 29242 (0.0009) -[2026-06-02 21:41:05,101][457608] Updated weights for policy 0, policy_version 29309 (0.0010) -[2026-06-02 21:41:06,288][456401] Fps is (10 sec: 17203.1, 60 sec: 18568.5, 300 sec: 18438.9). Total num frames: 15007744. Throughput: 0: 18579.9. Samples: 14995456. Policy #0 lag: (min: 15.0, avg: 20.5, max: 79.0) -[2026-06-02 21:41:06,289][456401] Avg episode reward: [(0, '5807.400')] -[2026-06-02 21:41:06,789][457608] Updated weights for policy 0, policy_version 29370 (0.0009) -[2026-06-02 21:41:08,511][457608] Updated weights for policy 0, policy_version 29435 (0.0010) -[2026-06-02 21:41:10,282][457608] Updated weights for policy 0, policy_version 29494 (0.0009) -[2026-06-02 21:41:11,288][456401] Fps is (10 sec: 18841.6, 60 sec: 18568.6, 300 sec: 18438.9). Total num frames: 15106048. Throughput: 0: 18591.3. Samples: 15108096. Policy #0 lag: (min: 15.0, avg: 20.5, max: 79.0) -[2026-06-02 21:41:11,289][456401] Avg episode reward: [(0, '5810.050')] -[2026-06-02 21:41:12,124][457608] Updated weights for policy 0, policy_version 29558 (0.0010) -[2026-06-02 21:41:13,918][457608] Updated weights for policy 0, policy_version 29618 (0.0010) -[2026-06-02 21:41:15,605][457608] Updated weights for policy 0, policy_version 29682 (0.0010) -[2026-06-02 21:41:16,288][456401] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 18438.9). Total num frames: 15204352. Throughput: 0: 18466.1. Samples: 15217152. Policy #0 lag: (min: 15.0, avg: 20.5, max: 79.0) -[2026-06-02 21:41:16,289][456401] Avg episode reward: [(0, '5896.400')] -[2026-06-02 21:41:17,383][457608] Updated weights for policy 0, policy_version 29744 (0.0009) -[2026-06-02 21:41:19,035][457608] Updated weights for policy 0, policy_version 29794 (0.0009) -[2026-06-02 21:41:20,765][457535] Signal inference workers to stop experience collection... (1400 times) -[2026-06-02 21:41:20,792][457608] InferenceWorker_p0-w0: stopping experience collection (1400 times) -[2026-06-02 21:41:20,867][457535] Signal inference workers to resume experience collection... (1400 times) -[2026-06-02 21:41:20,867][457608] InferenceWorker_p0-w0: resuming experience collection (1400 times) -[2026-06-02 21:41:20,869][457608] Updated weights for policy 0, policy_version 29872 (0.0009) -[2026-06-02 21:41:21,288][456401] Fps is (10 sec: 19660.5, 60 sec: 18568.5, 300 sec: 18438.9). Total num frames: 15302656. Throughput: 0: 18522.9. Samples: 15272960. Policy #0 lag: (min: 9.0, avg: 14.2, max: 73.0) -[2026-06-02 21:41:21,289][456401] Avg episode reward: [(0, '5852.900')] -[2026-06-02 21:41:22,645][457608] Updated weights for policy 0, policy_version 29920 (0.0009) -[2026-06-02 21:41:24,362][457608] Updated weights for policy 0, policy_version 29968 (0.0009) -[2026-06-02 21:41:26,016][457608] Updated weights for policy 0, policy_version 30018 (0.0010) -[2026-06-02 21:41:26,288][456401] Fps is (10 sec: 18022.4, 60 sec: 18295.4, 300 sec: 18494.5). Total num frames: 15384576. Throughput: 0: 18488.9. Samples: 15381504. Policy #0 lag: (min: 9.0, avg: 14.2, max: 73.0) -[2026-06-02 21:41:26,289][456401] Avg episode reward: [(0, '5804.500')] -[2026-06-02 21:41:26,483][457608] Updated weights for policy 0, policy_version 30080 (0.0008) -[2026-06-02 21:41:29,618][457608] Updated weights for policy 0, policy_version 30146 (0.0012) -[2026-06-02 21:41:31,288][456401] Fps is (10 sec: 16384.2, 60 sec: 18295.4, 300 sec: 18438.9). Total num frames: 15466496. Throughput: 0: 18557.1. Samples: 15492608. Policy #0 lag: (min: 9.0, avg: 14.2, max: 73.0) -[2026-06-02 21:41:31,289][456401] Avg episode reward: [(0, '6053.850')] -[2026-06-02 21:41:31,293][457535] Saving new best policy, reward=6053.850! -[2026-06-02 21:41:31,393][457608] Updated weights for policy 0, policy_version 30210 (0.0009) -[2026-06-02 21:41:33,181][457608] Updated weights for policy 0, policy_version 30288 (0.0009) -[2026-06-02 21:41:34,912][457608] Updated weights for policy 0, policy_version 30352 (0.0005) -[2026-06-02 21:41:36,288][456401] Fps is (10 sec: 18022.4, 60 sec: 18568.5, 300 sec: 18439.0). Total num frames: 15564800. Throughput: 0: 18557.1. Samples: 15549952. Policy #0 lag: (min: 9.0, avg: 14.2, max: 73.0) -[2026-06-02 21:41:36,289][456401] Avg episode reward: [(0, '6030.400')] -[2026-06-02 21:41:36,735][457608] Updated weights for policy 0, policy_version 30416 (0.0006) -[2026-06-02 21:41:38,573][457608] Updated weights for policy 0, policy_version 30482 (0.0010) -[2026-06-02 21:41:40,429][457608] Updated weights for policy 0, policy_version 30560 (0.0009) -[2026-06-02 21:41:41,288][456401] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 18494.5). Total num frames: 15663104. Throughput: 0: 18545.8. Samples: 15660544. Policy #0 lag: (min: 43.0, avg: 47.9, max: 107.0) -[2026-06-02 21:41:41,289][456401] Avg episode reward: [(0, '5999.550')] -[2026-06-02 21:41:42,262][457608] Updated weights for policy 0, policy_version 30624 (0.0010) -[2026-06-02 21:41:44,037][457608] Updated weights for policy 0, policy_version 30688 (0.0010) -[2026-06-02 21:41:45,887][457608] Updated weights for policy 0, policy_version 30754 (0.0010) -[2026-06-02 21:41:46,288][456401] Fps is (10 sec: 19660.9, 60 sec: 18568.5, 300 sec: 18550.0). Total num frames: 15761408. Throughput: 0: 18318.2. Samples: 15766528. Policy #0 lag: (min: 43.0, avg: 47.9, max: 107.0) -[2026-06-02 21:41:46,289][456401] Avg episode reward: [(0, '6012.800')] -[2026-06-02 21:41:47,643][457608] Updated weights for policy 0, policy_version 30816 (0.0010) -[2026-06-02 21:41:49,423][457608] Updated weights for policy 0, policy_version 30880 (0.0010) -[2026-06-02 21:41:51,003][457608] Updated weights for policy 0, policy_version 30928 (0.0009) -[2026-06-02 21:41:51,003][457535] Signal inference workers to stop experience collection... (1450 times) -[2026-06-02 21:41:51,033][457608] InferenceWorker_p0-w0: stopping experience collection (1450 times) -[2026-06-02 21:41:51,117][457535] Signal inference workers to resume experience collection... (1450 times) -[2026-06-02 21:41:51,117][457608] InferenceWorker_p0-w0: resuming experience collection (1450 times) -[2026-06-02 21:41:51,288][456401] Fps is (10 sec: 18841.5, 60 sec: 18432.0, 300 sec: 18522.2). Total num frames: 15851520. Throughput: 0: 18420.6. Samples: 15824384. Policy #0 lag: (min: 43.0, avg: 47.9, max: 107.0) -[2026-06-02 21:41:51,289][456401] Avg episode reward: [(0, '5851.050')] -[2026-06-02 21:41:52,667][457608] Updated weights for policy 0, policy_version 30978 (0.0010) -[2026-06-02 21:41:54,394][457608] Updated weights for policy 0, policy_version 31042 (0.0009) -[2026-06-02 21:41:56,135][457608] Updated weights for policy 0, policy_version 31105 (0.0010) -[2026-06-02 21:41:56,288][456401] Fps is (10 sec: 17203.2, 60 sec: 18295.5, 300 sec: 18466.7). Total num frames: 15933440. Throughput: 0: 18386.5. Samples: 15935488. Policy #0 lag: (min: 43.0, avg: 47.9, max: 107.0) -[2026-06-02 21:41:56,289][456401] Avg episode reward: [(0, '5995.600')] -[2026-06-02 21:41:56,590][457608] Updated weights for policy 0, policy_version 31167 (0.0009) -[2026-06-02 21:41:58,272][457608] Updated weights for policy 0, policy_version 31228 (0.0010) -[2026-06-02 21:41:59,880][457608] Updated weights for policy 0, policy_version 31290 (0.0009) -[2026-06-02 21:42:01,288][456401] Fps is (10 sec: 17203.1, 60 sec: 18432.0, 300 sec: 18494.5). Total num frames: 16023552. Throughput: 0: 18579.9. Samples: 16053248. Policy #0 lag: (min: 43.0, avg: 47.9, max: 107.0) -[2026-06-02 21:42:01,289][456401] Avg episode reward: [(0, '5994.400')] -[2026-06-02 21:42:01,689][457608] Updated weights for policy 0, policy_version 31355 (0.0009) -[2026-06-02 21:42:03,427][457608] Updated weights for policy 0, policy_version 31412 (0.0011) -[2026-06-02 21:42:04,928][457608] Updated weights for policy 0, policy_version 31476 (0.0009) -[2026-06-02 21:42:06,288][456401] Fps is (10 sec: 18841.5, 60 sec: 18568.5, 300 sec: 18550.0). Total num frames: 16121856. Throughput: 0: 18591.3. Samples: 16109568. Policy #0 lag: (min: 15.0, avg: 20.5, max: 79.0) -[2026-06-02 21:42:06,289][456401] Avg episode reward: [(0, '6063.800')] -[2026-06-02 21:42:06,293][457535] Saving new best policy, reward=6063.800! -[2026-06-02 21:42:06,741][457608] Updated weights for policy 0, policy_version 31538 (0.0009) -[2026-06-02 21:42:08,499][457608] Updated weights for policy 0, policy_version 31587 (0.0009) -[2026-06-02 21:42:10,285][457608] Updated weights for policy 0, policy_version 31664 (0.0009) -[2026-06-02 21:42:11,288][456401] Fps is (10 sec: 19661.1, 60 sec: 18568.5, 300 sec: 18550.0). Total num frames: 16220160. Throughput: 0: 18659.6. Samples: 16221184. Policy #0 lag: (min: 15.0, avg: 20.5, max: 79.0) -[2026-06-02 21:42:11,289][456401] Avg episode reward: [(0, '6190.900')] -[2026-06-02 21:42:11,293][457535] Saving new best policy, reward=6190.900! -[2026-06-02 21:42:11,993][457608] Updated weights for policy 0, policy_version 31714 (0.0009) -[2026-06-02 21:42:13,511][457608] Updated weights for policy 0, policy_version 31760 (0.0009) -[2026-06-02 21:42:15,161][457608] Updated weights for policy 0, policy_version 31824 (0.0009) -[2026-06-02 21:42:16,288][456401] Fps is (10 sec: 19661.0, 60 sec: 18568.6, 300 sec: 18550.0). Total num frames: 16318464. Throughput: 0: 18693.7. Samples: 16333824. Policy #0 lag: (min: 15.0, avg: 20.5, max: 79.0) -[2026-06-02 21:42:16,288][456401] Avg episode reward: [(0, '5991.350')] -[2026-06-02 21:42:17,006][457608] Updated weights for policy 0, policy_version 31888 (0.0009) -[2026-06-02 21:42:18,665][457608] Updated weights for policy 0, policy_version 31937 (0.0010) -[2026-06-02 21:42:19,164][457608] Updated weights for policy 0, policy_version 32000 (0.0010) -[2026-06-02 21:42:20,324][457535] Signal inference workers to stop experience collection... (1500 times) -[2026-06-02 21:42:20,373][457608] InferenceWorker_p0-w0: stopping experience collection (1500 times) -[2026-06-02 21:42:20,449][457535] Signal inference workers to resume experience collection... (1500 times) -[2026-06-02 21:42:20,450][457608] InferenceWorker_p0-w0: resuming experience collection (1500 times) -[2026-06-02 21:42:21,288][456401] Fps is (10 sec: 19660.8, 60 sec: 18568.6, 300 sec: 18577.8). Total num frames: 16416768. Throughput: 0: 18659.6. Samples: 16389632. Policy #0 lag: (min: 15.0, avg: 20.5, max: 79.0) -[2026-06-02 21:42:21,289][456401] Avg episode reward: [(0, '5941.700')] -[2026-06-02 21:42:22,147][457608] Updated weights for policy 0, policy_version 32066 (0.0011) -[2026-06-02 21:42:23,915][457608] Updated weights for policy 0, policy_version 32129 (0.0009) -[2026-06-02 21:42:25,875][457608] Updated weights for policy 0, policy_version 32208 (0.0010) -[2026-06-02 21:42:26,288][456401] Fps is (10 sec: 19660.7, 60 sec: 18841.6, 300 sec: 18661.1). Total num frames: 16515072. Throughput: 0: 18716.5. Samples: 16502784. Policy #0 lag: (min: 5.0, avg: 11.2, max: 69.0) -[2026-06-02 21:42:26,289][456401] Avg episode reward: [(0, '5819.350')] -[2026-06-02 21:42:27,566][457608] Updated weights for policy 0, policy_version 32259 (0.0009) -[2026-06-02 21:42:28,030][457608] Updated weights for policy 0, policy_version 32320 (0.0010) -[2026-06-02 21:42:29,764][457608] Updated weights for policy 0, policy_version 32384 (0.0009) -[2026-06-02 21:42:31,288][456401] Fps is (10 sec: 18841.6, 60 sec: 18978.1, 300 sec: 18633.3). Total num frames: 16605184. Throughput: 0: 18875.7. Samples: 16615936. Policy #0 lag: (min: 5.0, avg: 11.2, max: 69.0) -[2026-06-02 21:42:31,289][456401] Avg episode reward: [(0, '5913.400')] -[2026-06-02 21:42:31,366][457608] Updated weights for policy 0, policy_version 32445 (0.0010) -[2026-06-02 21:42:33,159][457608] Updated weights for policy 0, policy_version 32512 (0.0009) -[2026-06-02 21:42:35,012][457608] Updated weights for policy 0, policy_version 32576 (0.0010) -[2026-06-02 21:42:36,288][456401] Fps is (10 sec: 16383.6, 60 sec: 18568.5, 300 sec: 18550.0). Total num frames: 16678912. Throughput: 0: 18807.4. Samples: 16670720. Policy #0 lag: (min: 5.0, avg: 11.2, max: 69.0) -[2026-06-02 21:42:36,289][456401] Avg episode reward: [(0, '5892.900')] -[2026-06-02 21:42:36,872][457608] Updated weights for policy 0, policy_version 32639 (0.0009) -[2026-06-02 21:42:38,647][457608] Updated weights for policy 0, policy_version 32701 (0.0010) -[2026-06-02 21:42:40,385][457608] Updated weights for policy 0, policy_version 32760 (0.0010) -[2026-06-02 21:42:41,288][456401] Fps is (10 sec: 17203.2, 60 sec: 18568.5, 300 sec: 18550.0). Total num frames: 16777216. Throughput: 0: 18727.8. Samples: 16778240. Policy #0 lag: (min: 5.0, avg: 11.2, max: 69.0) -[2026-06-02 21:42:41,289][456401] Avg episode reward: [(0, '6132.000')] -[2026-06-02 21:42:42,194][457608] Updated weights for policy 0, policy_version 32822 (0.0010) -[2026-06-02 21:42:43,941][457608] Updated weights for policy 0, policy_version 32889 (0.0010) -[2026-06-02 21:42:45,605][457608] Updated weights for policy 0, policy_version 32950 (0.0011) -[2026-06-02 21:42:46,288][456401] Fps is (10 sec: 19661.4, 60 sec: 18568.6, 300 sec: 18550.0). Total num frames: 16875520. Throughput: 0: 18534.5. Samples: 16887296. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 21:42:46,288][456401] Avg episode reward: [(0, '6263.250')] -[2026-06-02 21:42:46,291][457535] Saving new best policy, reward=6263.250! -[2026-06-02 21:42:47,416][457608] Updated weights for policy 0, policy_version 33014 (0.0010) -[2026-06-02 21:42:49,047][457535] Signal inference workers to stop experience collection... (1550 times) -[2026-06-02 21:42:49,073][457608] InferenceWorker_p0-w0: stopping experience collection (1550 times) -[2026-06-02 21:42:49,148][457535] Signal inference workers to resume experience collection... (1550 times) -[2026-06-02 21:42:49,148][457608] InferenceWorker_p0-w0: resuming experience collection (1550 times) -[2026-06-02 21:42:49,150][457608] Updated weights for policy 0, policy_version 33072 (0.0009) -[2026-06-02 21:42:50,934][457608] Updated weights for policy 0, policy_version 33136 (0.0010) -[2026-06-02 21:42:51,288][456401] Fps is (10 sec: 19660.7, 60 sec: 18705.1, 300 sec: 18550.0). Total num frames: 16973824. Throughput: 0: 18545.8. Samples: 16944128. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 21:42:51,289][456401] Avg episode reward: [(0, '6221.250')] -[2026-06-02 21:42:52,788][457608] Updated weights for policy 0, policy_version 33206 (0.0009) -[2026-06-02 21:42:54,570][457608] Updated weights for policy 0, policy_version 33277 (0.0009) -[2026-06-02 21:42:56,288][456401] Fps is (10 sec: 18841.2, 60 sec: 18841.6, 300 sec: 18605.6). Total num frames: 17063936. Throughput: 0: 18523.0. Samples: 17054720. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 21:42:56,289][456401] Avg episode reward: [(0, '6488.500')] -[2026-06-02 21:42:56,334][457608] Updated weights for policy 0, policy_version 33341 (0.0009) -[2026-06-02 21:42:56,353][457535] Saving new best policy, reward=6488.500! -[2026-06-02 21:42:58,065][457608] Updated weights for policy 0, policy_version 33401 (0.0009) -[2026-06-02 21:42:59,797][457608] Updated weights for policy 0, policy_version 33458 (0.0009) -[2026-06-02 21:43:01,288][456401] Fps is (10 sec: 17203.2, 60 sec: 18705.1, 300 sec: 18577.8). Total num frames: 17145856. Throughput: 0: 18591.3. Samples: 17170432. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 21:43:01,289][456401] Avg episode reward: [(0, '6420.050')] -[2026-06-02 21:43:01,475][457608] Updated weights for policy 0, policy_version 33522 (0.0009) -[2026-06-02 21:43:03,174][457608] Updated weights for policy 0, policy_version 33571 (0.0008) -[2026-06-02 21:43:04,916][457608] Updated weights for policy 0, policy_version 33634 (0.0009) -[2026-06-02 21:43:06,288][456401] Fps is (10 sec: 17203.4, 60 sec: 18568.6, 300 sec: 18550.0). Total num frames: 17235968. Throughput: 0: 18568.5. Samples: 17225216. Policy #0 lag: (min: 15.0, avg: 21.2, max: 79.0) -[2026-06-02 21:43:06,289][456401] Avg episode reward: [(0, '6522.450')] -[2026-06-02 21:43:06,515][457535] Saving new best policy, reward=6522.450! -[2026-06-02 21:43:06,621][457608] Updated weights for policy 0, policy_version 33712 (0.0009) -[2026-06-02 21:43:08,291][457608] Updated weights for policy 0, policy_version 33762 (0.0009) -[2026-06-02 21:43:10,003][457608] Updated weights for policy 0, policy_version 33824 (0.0009) -[2026-06-02 21:43:11,288][456401] Fps is (10 sec: 18841.6, 60 sec: 18568.5, 300 sec: 18550.0). Total num frames: 17334272. Throughput: 0: 18545.8. Samples: 17337344. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:43:11,290][456401] Avg episode reward: [(0, '6558.850')] -[2026-06-02 21:43:11,295][457535] Saving new best policy, reward=6558.850! -[2026-06-02 21:43:11,916][457608] Updated weights for policy 0, policy_version 33890 (0.0009) -[2026-06-02 21:43:13,607][457608] Updated weights for policy 0, policy_version 33938 (0.0009) -[2026-06-02 21:43:15,138][457608] Updated weights for policy 0, policy_version 33988 (0.0009) -[2026-06-02 21:43:15,572][457608] Updated weights for policy 0, policy_version 34048 (0.0009) -[2026-06-02 21:43:16,288][456401] Fps is (10 sec: 19660.5, 60 sec: 18568.5, 300 sec: 18550.0). Total num frames: 17432576. Throughput: 0: 18557.1. Samples: 17451008. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:43:16,289][456401] Avg episode reward: [(0, '6756.500')] -[2026-06-02 21:43:16,293][457535] Saving new best policy, reward=6756.500! -[2026-06-02 21:43:17,203][457608] Updated weights for policy 0, policy_version 34112 (0.0009) -[2026-06-02 21:43:18,583][457535] Signal inference workers to stop experience collection... (1600 times) -[2026-06-02 21:43:18,611][457608] InferenceWorker_p0-w0: stopping experience collection (1600 times) -[2026-06-02 21:43:18,672][457535] Signal inference workers to resume experience collection... (1600 times) -[2026-06-02 21:43:18,673][457608] InferenceWorker_p0-w0: resuming experience collection (1600 times) -[2026-06-02 21:43:18,884][457608] Updated weights for policy 0, policy_version 34172 (0.0010) -[2026-06-02 21:43:20,538][457608] Updated weights for policy 0, policy_version 34239 (0.0009) -[2026-06-02 21:43:21,288][456401] Fps is (10 sec: 19660.7, 60 sec: 18568.5, 300 sec: 18577.8). Total num frames: 17530880. Throughput: 0: 18614.1. Samples: 17508352. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:43:21,289][456401] Avg episode reward: [(0, '6827.150')] -[2026-06-02 21:43:21,293][457535] Saving new best policy, reward=6827.150! -[2026-06-02 21:43:22,178][457608] Updated weights for policy 0, policy_version 34296 (0.0009) -[2026-06-02 21:43:23,859][457608] Updated weights for policy 0, policy_version 34360 (0.0009) -[2026-06-02 21:43:25,553][457608] Updated weights for policy 0, policy_version 34421 (0.0009) -[2026-06-02 21:43:26,288][456401] Fps is (10 sec: 19660.8, 60 sec: 18568.5, 300 sec: 18633.3). Total num frames: 17629184. Throughput: 0: 18875.7. Samples: 17627648. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:43:26,289][456401] Avg episode reward: [(0, '6720.200')] -[2026-06-02 21:43:27,233][457608] Updated weights for policy 0, policy_version 34484 (0.0010) -[2026-06-02 21:43:28,779][457608] Updated weights for policy 0, policy_version 34551 (0.0010) -[2026-06-02 21:43:30,392][457608] Updated weights for policy 0, policy_version 34609 (0.0010) -[2026-06-02 21:43:31,288][456401] Fps is (10 sec: 19660.8, 60 sec: 18705.0, 300 sec: 18661.1). Total num frames: 17727488. Throughput: 0: 19034.9. Samples: 17743872. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:43:31,289][456401] Avg episode reward: [(0, '6658.700')] -[2026-06-02 21:43:32,302][457608] Updated weights for policy 0, policy_version 34685 (0.0010) -[2026-06-02 21:43:35,403][457608] Updated weights for policy 0, policy_version 34754 (0.0010) -[2026-06-02 21:43:36,288][456401] Fps is (10 sec: 19661.0, 60 sec: 19114.7, 300 sec: 18661.1). Total num frames: 17825792. Throughput: 0: 18978.2. Samples: 17798144. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:43:36,289][456401] Avg episode reward: [(0, '6677.800')] -[2026-06-02 21:43:37,173][457608] Updated weights for policy 0, policy_version 34832 (0.0009) -[2026-06-02 21:43:38,960][457608] Updated weights for policy 0, policy_version 34899 (0.0009) -[2026-06-02 21:43:40,645][457608] Updated weights for policy 0, policy_version 34960 (0.0009) -[2026-06-02 21:43:41,288][456401] Fps is (10 sec: 19660.8, 60 sec: 19114.6, 300 sec: 18661.1). Total num frames: 17924096. Throughput: 0: 19103.3. Samples: 17914368. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:43:41,289][456401] Avg episode reward: [(0, '6579.500')] -[2026-06-02 21:43:42,236][457608] Updated weights for policy 0, policy_version 35010 (0.0009) -[2026-06-02 21:43:42,657][457608] Updated weights for policy 0, policy_version 35072 (0.0009) -[2026-06-02 21:43:44,384][457608] Updated weights for policy 0, policy_version 35128 (0.0009) -[2026-06-02 21:43:46,061][457608] Updated weights for policy 0, policy_version 35190 (0.0009) -[2026-06-02 21:43:46,288][456401] Fps is (10 sec: 19660.7, 60 sec: 19114.6, 300 sec: 18661.1). Total num frames: 18022400. Throughput: 0: 19035.0. Samples: 18027008. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:43:46,289][456401] Avg episode reward: [(0, '6587.000')] -[2026-06-02 21:43:47,407][457535] Signal inference workers to stop experience collection... (1650 times) -[2026-06-02 21:43:47,435][457608] InferenceWorker_p0-w0: stopping experience collection (1650 times) -[2026-06-02 21:43:47,528][457535] Signal inference workers to resume experience collection... (1650 times) -[2026-06-02 21:43:47,529][457608] InferenceWorker_p0-w0: resuming experience collection (1650 times) -[2026-06-02 21:43:47,807][457608] Updated weights for policy 0, policy_version 35254 (0.0011) -[2026-06-02 21:43:49,494][457608] Updated weights for policy 0, policy_version 35318 (0.0010) -[2026-06-02 21:43:51,084][457608] Updated weights for policy 0, policy_version 35387 (0.0010) -[2026-06-02 21:43:51,288][456401] Fps is (10 sec: 19660.8, 60 sec: 19114.7, 300 sec: 18661.1). Total num frames: 18120704. Throughput: 0: 19194.3. Samples: 18088960. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:43:51,289][456401] Avg episode reward: [(0, '6961.050')] -[2026-06-02 21:43:51,292][457535] Saving new best policy, reward=6961.050! -[2026-06-02 21:43:52,883][457608] Updated weights for policy 0, policy_version 35453 (0.0009) -[2026-06-02 21:43:54,453][457608] Updated weights for policy 0, policy_version 35508 (0.0009) -[2026-06-02 21:43:56,238][457608] Updated weights for policy 0, policy_version 35580 (0.0009) -[2026-06-02 21:43:56,288][456401] Fps is (10 sec: 19660.9, 60 sec: 19251.2, 300 sec: 18661.1). Total num frames: 18219008. Throughput: 0: 19274.0. Samples: 18204672. Policy #0 lag: (min: 2.0, avg: 5.9, max: 66.0) -[2026-06-02 21:43:56,289][456401] Avg episode reward: [(0, '6988.950')] -[2026-06-02 21:43:56,293][457535] Saving new best policy, reward=6988.950! -[2026-06-02 21:43:57,975][457608] Updated weights for policy 0, policy_version 35640 (0.0010) -[2026-06-02 21:43:59,590][457608] Updated weights for policy 0, policy_version 35698 (0.0010) -[2026-06-02 21:44:01,217][457608] Updated weights for policy 0, policy_version 35760 (0.0010) -[2026-06-02 21:44:01,288][456401] Fps is (10 sec: 18841.6, 60 sec: 19387.7, 300 sec: 18716.6). Total num frames: 18309120. Throughput: 0: 19308.1. Samples: 18319872. Policy #0 lag: (min: 2.0, avg: 5.9, max: 66.0) -[2026-06-02 21:44:01,289][456401] Avg episode reward: [(0, '6974.300')] -[2026-06-02 21:44:02,876][457608] Updated weights for policy 0, policy_version 35811 (0.0010) -[2026-06-02 21:44:04,500][457608] Updated weights for policy 0, policy_version 35872 (0.0006) -[2026-06-02 21:44:06,288][456401] Fps is (10 sec: 18022.3, 60 sec: 19387.7, 300 sec: 18716.6). Total num frames: 18399232. Throughput: 0: 19353.6. Samples: 18379264. Policy #0 lag: (min: 2.0, avg: 5.9, max: 66.0) -[2026-06-02 21:44:06,289][456401] Avg episode reward: [(0, '7071.800')] -[2026-06-02 21:44:06,299][457608] Updated weights for policy 0, policy_version 35952 (0.0009) -[2026-06-02 21:44:06,456][457535] Saving new best policy, reward=7071.800! -[2026-06-02 21:44:08,012][457608] Updated weights for policy 0, policy_version 36016 (0.0010) -[2026-06-02 21:44:09,961][457608] Updated weights for policy 0, policy_version 36091 (0.0009) -[2026-06-02 21:44:11,288][456401] Fps is (10 sec: 18022.5, 60 sec: 19251.2, 300 sec: 18688.9). Total num frames: 18489344. Throughput: 0: 19114.7. Samples: 18487808. Policy #0 lag: (min: 2.0, avg: 5.9, max: 66.0) -[2026-06-02 21:44:11,289][456401] Avg episode reward: [(0, '7102.350')] -[2026-06-02 21:44:11,478][457535] Saving new best policy, reward=7102.350! -[2026-06-02 21:44:11,594][457608] Updated weights for policy 0, policy_version 36152 (0.0009) -[2026-06-02 21:44:13,263][457608] Updated weights for policy 0, policy_version 36214 (0.0010) -[2026-06-02 21:44:14,903][457535] Signal inference workers to stop experience collection... (1700 times) -[2026-06-02 21:44:14,933][457608] InferenceWorker_p0-w0: stopping experience collection (1700 times) -[2026-06-02 21:44:15,005][457535] Signal inference workers to resume experience collection... (1700 times) -[2026-06-02 21:44:15,005][457608] InferenceWorker_p0-w0: resuming experience collection (1700 times) -[2026-06-02 21:44:15,049][457608] Updated weights for policy 0, policy_version 36274 (0.0009) -[2026-06-02 21:44:16,288][456401] Fps is (10 sec: 18022.4, 60 sec: 19114.7, 300 sec: 18661.1). Total num frames: 18579456. Throughput: 0: 19148.8. Samples: 18605568. Policy #0 lag: (min: 2.0, avg: 5.9, max: 66.0) -[2026-06-02 21:44:16,289][456401] Avg episode reward: [(0, '7124.000')] -[2026-06-02 21:44:16,293][457535] Saving new best policy, reward=7124.000! -[2026-06-02 21:44:16,664][457608] Updated weights for policy 0, policy_version 36336 (0.0007) -[2026-06-02 21:44:18,285][457608] Updated weights for policy 0, policy_version 36384 (0.0005) -[2026-06-02 21:44:20,052][457608] Updated weights for policy 0, policy_version 36451 (0.0007) -[2026-06-02 21:44:21,288][456401] Fps is (10 sec: 18841.3, 60 sec: 19114.7, 300 sec: 18661.1). Total num frames: 18677760. Throughput: 0: 19217.0. Samples: 18662912. Policy #0 lag: (min: 13.0, avg: 18.2, max: 77.0) -[2026-06-02 21:44:21,290][456401] Avg episode reward: [(0, '7124.650')] -[2026-06-02 21:44:21,294][457535] Saving new best policy, reward=7124.650! -[2026-06-02 21:44:21,813][457608] Updated weights for policy 0, policy_version 36512 (0.0011) -[2026-06-02 21:44:23,420][457608] Updated weights for policy 0, policy_version 36562 (0.0010) -[2026-06-02 21:44:24,907][457608] Updated weights for policy 0, policy_version 36610 (0.0014) -[2026-06-02 21:44:26,288][456401] Fps is (10 sec: 19660.9, 60 sec: 19114.7, 300 sec: 18716.6). Total num frames: 18776064. Throughput: 0: 19205.7. Samples: 18778624. Policy #0 lag: (min: 13.0, avg: 18.2, max: 77.0) -[2026-06-02 21:44:26,289][456401] Avg episode reward: [(0, '7135.000')] -[2026-06-02 21:44:26,293][457535] Saving new best policy, reward=7135.000! -[2026-06-02 21:44:26,553][457608] Updated weights for policy 0, policy_version 36674 (0.0014) -[2026-06-02 21:44:28,236][457608] Updated weights for policy 0, policy_version 36752 (0.0009) -[2026-06-02 21:44:29,963][457608] Updated weights for policy 0, policy_version 36816 (0.0010) -[2026-06-02 21:44:31,288][456401] Fps is (10 sec: 19661.0, 60 sec: 19114.7, 300 sec: 18772.2). Total num frames: 18874368. Throughput: 0: 19274.0. Samples: 18894336. Policy #0 lag: (min: 13.0, avg: 18.2, max: 77.0) -[2026-06-02 21:44:31,289][456401] Avg episode reward: [(0, '7301.650')] -[2026-06-02 21:44:31,293][457535] Saving new best policy, reward=7301.650! -[2026-06-02 21:44:31,821][457608] Updated weights for policy 0, policy_version 36882 (0.0009) -[2026-06-02 21:44:33,653][457608] Updated weights for policy 0, policy_version 36960 (0.0010) -[2026-06-02 21:44:35,301][457608] Updated weights for policy 0, policy_version 37012 (0.0009) -[2026-06-02 21:44:36,288][456401] Fps is (10 sec: 19660.7, 60 sec: 19114.6, 300 sec: 18772.2). Total num frames: 18972672. Throughput: 0: 19126.0. Samples: 18949632. Policy #0 lag: (min: 13.0, avg: 18.2, max: 77.0) -[2026-06-02 21:44:36,289][456401] Avg episode reward: [(0, '7282.400')] -[2026-06-02 21:44:37,203][457608] Updated weights for policy 0, policy_version 37090 (0.0009) -[2026-06-02 21:44:38,921][457608] Updated weights for policy 0, policy_version 37152 (0.0010) -[2026-06-02 21:44:40,686][457608] Updated weights for policy 0, policy_version 37216 (0.0015) -[2026-06-02 21:44:41,288][456401] Fps is (10 sec: 19660.3, 60 sec: 19114.6, 300 sec: 18772.2). Total num frames: 19070976. Throughput: 0: 19091.8. Samples: 19063808. Policy #0 lag: (min: 4.0, avg: 10.3, max: 68.0) -[2026-06-02 21:44:41,289][456401] Avg episode reward: [(0, '7422.500')] -[2026-06-02 21:44:41,293][457535] Saving new best policy, reward=7422.500! -[2026-06-02 21:44:42,282][457608] Updated weights for policy 0, policy_version 37266 (0.0013) -[2026-06-02 21:44:43,950][457535] Signal inference workers to stop experience collection... (1750 times) -[2026-06-02 21:44:43,951][457608] Updated weights for policy 0, policy_version 37328 (0.0014) -[2026-06-02 21:44:43,980][457608] InferenceWorker_p0-w0: stopping experience collection (1750 times) -[2026-06-02 21:44:44,064][457535] Signal inference workers to resume experience collection... (1750 times) -[2026-06-02 21:44:44,064][457608] InferenceWorker_p0-w0: resuming experience collection (1750 times) -[2026-06-02 21:44:45,593][457608] Updated weights for policy 0, policy_version 37378 (0.0013) -[2026-06-02 21:44:46,288][456401] Fps is (10 sec: 19660.9, 60 sec: 19114.7, 300 sec: 18772.2). Total num frames: 19169280. Throughput: 0: 19023.7. Samples: 19175936. Policy #0 lag: (min: 4.0, avg: 10.3, max: 68.0) -[2026-06-02 21:44:46,289][456401] Avg episode reward: [(0, '7297.400')] -[2026-06-02 21:44:47,321][457608] Updated weights for policy 0, policy_version 37442 (0.0008) -[2026-06-02 21:44:49,073][457608] Updated weights for policy 0, policy_version 37506 (0.0010) -[2026-06-02 21:44:49,567][457608] Updated weights for policy 0, policy_version 37568 (0.0010) -[2026-06-02 21:44:51,211][457608] Updated weights for policy 0, policy_version 37632 (0.0010) -[2026-06-02 21:44:51,288][456401] Fps is (10 sec: 19661.3, 60 sec: 19114.7, 300 sec: 18855.5). Total num frames: 19267584. Throughput: 0: 19035.0. Samples: 19235840. Policy #0 lag: (min: 4.0, avg: 10.3, max: 68.0) -[2026-06-02 21:44:51,289][456401] Avg episode reward: [(0, '7244.550')] -[2026-06-02 21:44:52,910][457608] Updated weights for policy 0, policy_version 37694 (0.0004) -[2026-06-02 21:44:54,642][457608] Updated weights for policy 0, policy_version 37758 (0.0009) -[2026-06-02 21:44:56,288][456401] Fps is (10 sec: 18022.4, 60 sec: 18841.6, 300 sec: 18827.7). Total num frames: 19349504. Throughput: 0: 19114.7. Samples: 19347968. Policy #0 lag: (min: 4.0, avg: 10.3, max: 68.0) -[2026-06-02 21:44:56,289][456401] Avg episode reward: [(0, '7425.550')] -[2026-06-02 21:44:56,408][457608] Updated weights for policy 0, policy_version 37818 (0.0009) -[2026-06-02 21:44:56,449][457535] Saving new best policy, reward=7425.550! -[2026-06-02 21:44:58,072][457608] Updated weights for policy 0, policy_version 37878 (0.0009) -[2026-06-02 21:44:59,724][457608] Updated weights for policy 0, policy_version 37943 (0.0010) -[2026-06-02 21:45:01,288][456401] Fps is (10 sec: 18022.6, 60 sec: 18978.2, 300 sec: 18827.7). Total num frames: 19447808. Throughput: 0: 19103.3. Samples: 19465216. Policy #0 lag: (min: 4.0, avg: 10.3, max: 68.0) -[2026-06-02 21:45:01,289][456401] Avg episode reward: [(0, '7505.800')] -[2026-06-02 21:45:01,387][457608] Updated weights for policy 0, policy_version 38006 (0.0010) -[2026-06-02 21:45:01,472][457535] Saving new best policy, reward=7505.800! -[2026-06-02 21:45:03,060][457608] Updated weights for policy 0, policy_version 38068 (0.0011) -[2026-06-02 21:45:04,806][457608] Updated weights for policy 0, policy_version 38128 (0.0011) -[2026-06-02 21:45:06,288][456401] Fps is (10 sec: 18022.4, 60 sec: 18841.6, 300 sec: 18772.2). Total num frames: 19529728. Throughput: 0: 19114.7. Samples: 19523072. Policy #0 lag: (min: 47.0, avg: 52.4, max: 111.0) -[2026-06-02 21:45:06,289][456401] Avg episode reward: [(0, '7508.350')] -[2026-06-02 21:45:06,445][457535] Saving new best policy, reward=7508.350! -[2026-06-02 21:45:06,597][457608] Updated weights for policy 0, policy_version 38194 (0.0010) -[2026-06-02 21:45:08,203][457608] Updated weights for policy 0, policy_version 38256 (0.0010) -[2026-06-02 21:45:09,954][457608] Updated weights for policy 0, policy_version 38320 (0.0010) -[2026-06-02 21:45:11,288][456401] Fps is (10 sec: 18022.3, 60 sec: 18978.1, 300 sec: 18772.2). Total num frames: 19628032. Throughput: 0: 19000.9. Samples: 19633664. Policy #0 lag: (min: 47.0, avg: 52.4, max: 111.0) -[2026-06-02 21:45:11,289][456401] Avg episode reward: [(0, '7614.300')] -[2026-06-02 21:45:11,521][457535] Saving new best policy, reward=7614.300! -[2026-06-02 21:45:11,641][457608] Updated weights for policy 0, policy_version 38384 (0.0010) -[2026-06-02 21:45:12,957][457535] Signal inference workers to stop experience collection... (1800 times) -[2026-06-02 21:45:12,999][457608] InferenceWorker_p0-w0: stopping experience collection (1800 times) -[2026-06-02 21:45:13,090][457535] Signal inference workers to resume experience collection... (1800 times) -[2026-06-02 21:45:13,091][457608] InferenceWorker_p0-w0: resuming experience collection (1800 times) -[2026-06-02 21:45:13,195][457608] Updated weights for policy 0, policy_version 38432 (0.0010) -[2026-06-02 21:45:14,797][457608] Updated weights for policy 0, policy_version 38483 (0.0009) -[2026-06-02 21:45:16,288][456401] Fps is (10 sec: 19660.8, 60 sec: 19114.7, 300 sec: 18772.2). Total num frames: 19726336. Throughput: 0: 19148.8. Samples: 19756032. Policy #0 lag: (min: 47.0, avg: 52.4, max: 111.0) -[2026-06-02 21:45:16,289][456401] Avg episode reward: [(0, '7726.350')] -[2026-06-02 21:45:16,475][457535] Saving new best policy, reward=7726.350! -[2026-06-02 21:45:16,476][457608] Updated weights for policy 0, policy_version 38560 (0.0010) -[2026-06-02 21:45:18,055][457608] Updated weights for policy 0, policy_version 38610 (0.0010) -[2026-06-02 21:45:19,698][457608] Updated weights for policy 0, policy_version 38672 (0.0010) -[2026-06-02 21:45:21,288][456401] Fps is (10 sec: 19660.8, 60 sec: 19114.7, 300 sec: 18772.2). Total num frames: 19824640. Throughput: 0: 19205.7. Samples: 19813888. Policy #0 lag: (min: 47.0, avg: 52.4, max: 111.0) -[2026-06-02 21:45:21,289][456401] Avg episode reward: [(0, '7720.850')] -[2026-06-02 21:45:21,336][457608] Updated weights for policy 0, policy_version 38722 (0.0010) -[2026-06-02 21:45:22,928][457608] Updated weights for policy 0, policy_version 38786 (0.0010) -[2026-06-02 21:45:23,404][457608] Updated weights for policy 0, policy_version 38848 (0.0009) -[2026-06-02 21:45:25,066][457608] Updated weights for policy 0, policy_version 38906 (0.0010) -[2026-06-02 21:45:26,288][456401] Fps is (10 sec: 19660.9, 60 sec: 19114.7, 300 sec: 18827.7). Total num frames: 19922944. Throughput: 0: 19217.2. Samples: 19928576. Policy #0 lag: (min: 47.0, avg: 52.4, max: 111.0) -[2026-06-02 21:45:26,289][456401] Avg episode reward: [(0, '7565.700')] -[2026-06-02 21:45:26,697][457608] Updated weights for policy 0, policy_version 38965 (0.0006) -[2026-06-02 21:45:28,163][457608] Updated weights for policy 0, policy_version 39010 (0.0005) -[2026-06-02 21:45:29,969][457608] Updated weights for policy 0, policy_version 39074 (0.0007) -[2026-06-02 21:45:31,291][456401] Fps is (10 sec: 19656.5, 60 sec: 19114.0, 300 sec: 18883.1). Total num frames: 20021248. Throughput: 0: 19329.9. Samples: 20045824. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 21:45:31,297][456401] Avg episode reward: [(0, '7669.700')] -[2026-06-02 21:45:31,828][457608] Updated weights for policy 0, policy_version 39154 (0.0010) -[2026-06-02 21:45:33,623][457608] Updated weights for policy 0, policy_version 39216 (0.0010) -[2026-06-02 21:45:35,372][457608] Updated weights for policy 0, policy_version 39266 (0.0009) -[2026-06-02 21:45:36,288][456401] Fps is (10 sec: 19660.7, 60 sec: 19114.7, 300 sec: 18883.3). Total num frames: 20119552. Throughput: 0: 19182.9. Samples: 20099072. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 21:45:36,289][456401] Avg episode reward: [(0, '7777.150')] -[2026-06-02 21:45:36,293][457535] Saving new best policy, reward=7777.150! -[2026-06-02 21:45:36,958][457608] Updated weights for policy 0, policy_version 39313 (0.0010) -[2026-06-02 21:45:38,617][457608] Updated weights for policy 0, policy_version 39376 (0.0007) -[2026-06-02 21:45:40,481][457608] Updated weights for policy 0, policy_version 39443 (0.0009) -[2026-06-02 21:45:40,527][457535] Signal inference workers to stop experience collection... (1850 times) -[2026-06-02 21:45:40,556][457608] InferenceWorker_p0-w0: stopping experience collection (1850 times) -[2026-06-02 21:45:40,619][457535] Signal inference workers to resume experience collection... (1850 times) -[2026-06-02 21:45:40,620][457608] InferenceWorker_p0-w0: resuming experience collection (1850 times) -[2026-06-02 21:45:41,288][456401] Fps is (10 sec: 19664.7, 60 sec: 19114.7, 300 sec: 18883.2). Total num frames: 20217856. Throughput: 0: 19205.6. Samples: 20212224. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 21:45:41,290][456401] Avg episode reward: [(0, '7792.000')] -[2026-06-02 21:45:41,294][457535] Saving new best policy, reward=7792.000! -[2026-06-02 21:45:42,279][457608] Updated weights for policy 0, policy_version 39520 (0.0009) -[2026-06-02 21:45:43,920][457608] Updated weights for policy 0, policy_version 39569 (0.0009) -[2026-06-02 21:45:45,668][457608] Updated weights for policy 0, policy_version 39632 (0.0009) -[2026-06-02 21:45:46,288][456401] Fps is (10 sec: 19660.9, 60 sec: 19114.7, 300 sec: 18883.3). Total num frames: 20316160. Throughput: 0: 19069.2. Samples: 20323328. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 21:45:46,289][456401] Avg episode reward: [(0, '7900.600')] -[2026-06-02 21:45:46,292][457535] Saving new best policy, reward=7900.600! -[2026-06-02 21:45:47,332][457608] Updated weights for policy 0, policy_version 39696 (0.0010) -[2026-06-02 21:45:49,212][457608] Updated weights for policy 0, policy_version 39763 (0.0010) -[2026-06-02 21:45:50,886][457608] Updated weights for policy 0, policy_version 39825 (0.0010) -[2026-06-02 21:45:51,288][456401] Fps is (10 sec: 19661.2, 60 sec: 19114.7, 300 sec: 18911.0). Total num frames: 20414464. Throughput: 0: 19091.9. Samples: 20382208. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 21:45:51,289][456401] Avg episode reward: [(0, '7926.700')] -[2026-06-02 21:45:51,292][457535] Saving new best policy, reward=7926.700! -[2026-06-02 21:45:52,522][457608] Updated weights for policy 0, policy_version 39874 (0.0009) -[2026-06-02 21:45:52,984][457608] Updated weights for policy 0, policy_version 39936 (0.0010) -[2026-06-02 21:45:56,006][457608] Updated weights for policy 0, policy_version 40001 (0.0009) -[2026-06-02 21:45:56,288][456401] Fps is (10 sec: 18022.4, 60 sec: 19114.7, 300 sec: 18911.0). Total num frames: 20496384. Throughput: 0: 19126.1. Samples: 20494336. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-02 21:45:56,289][456401] Avg episode reward: [(0, '7836.300')] -[2026-06-02 21:45:56,455][457608] Updated weights for policy 0, policy_version 40060 (0.0009) -[2026-06-02 21:45:59,586][457608] Updated weights for policy 0, policy_version 40144 (0.0010) -[2026-06-02 21:46:01,288][456401] Fps is (10 sec: 16383.8, 60 sec: 18841.6, 300 sec: 18883.2). Total num frames: 20578304. Throughput: 0: 18944.0. Samples: 20608512. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-02 21:46:01,289][456401] Avg episode reward: [(0, '7812.850')] -[2026-06-02 21:46:01,329][457608] Updated weights for policy 0, policy_version 40208 (0.0010) -[2026-06-02 21:46:01,724][457608] Updated weights for policy 0, policy_version 40256 (0.0009) -[2026-06-02 21:46:03,352][457608] Updated weights for policy 0, policy_version 40316 (0.0009) -[2026-06-02 21:46:06,288][456401] Fps is (10 sec: 18022.3, 60 sec: 19114.7, 300 sec: 18883.3). Total num frames: 20676608. Throughput: 0: 18921.2. Samples: 20665344. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-02 21:46:06,289][456401] Avg episode reward: [(0, '7716.050')] -[2026-06-02 21:46:06,326][457608] Updated weights for policy 0, policy_version 40400 (0.0010) -[2026-06-02 21:46:08,129][457608] Updated weights for policy 0, policy_version 40466 (0.0010) -[2026-06-02 21:46:09,950][457535] Signal inference workers to stop experience collection... (1900 times) -[2026-06-02 21:46:09,951][457608] Updated weights for policy 0, policy_version 40528 (0.0010) -[2026-06-02 21:46:09,980][457608] InferenceWorker_p0-w0: stopping experience collection (1900 times) -[2026-06-02 21:46:10,066][457535] Signal inference workers to resume experience collection... (1900 times) -[2026-06-02 21:46:10,067][457608] InferenceWorker_p0-w0: resuming experience collection (1900 times) -[2026-06-02 21:46:11,288][456401] Fps is (10 sec: 19660.7, 60 sec: 19114.6, 300 sec: 18883.2). Total num frames: 20774912. Throughput: 0: 18852.9. Samples: 20776960. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-02 21:46:11,289][456401] Avg episode reward: [(0, '7813.050')] -[2026-06-02 21:46:11,732][457608] Updated weights for policy 0, policy_version 40595 (0.0010) -[2026-06-02 21:46:13,512][457608] Updated weights for policy 0, policy_version 40674 (0.0010) -[2026-06-02 21:46:15,324][457608] Updated weights for policy 0, policy_version 40752 (0.0011) -[2026-06-02 21:46:16,288][456401] Fps is (10 sec: 19660.9, 60 sec: 19114.7, 300 sec: 18883.3). Total num frames: 20873216. Throughput: 0: 18785.6. Samples: 20891136. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-02 21:46:16,289][456401] Avg episode reward: [(0, '7866.450')] -[2026-06-02 21:46:17,247][457608] Updated weights for policy 0, policy_version 40818 (0.0009) -[2026-06-02 21:46:18,823][457608] Updated weights for policy 0, policy_version 40880 (0.0010) -[2026-06-02 21:46:20,389][457608] Updated weights for policy 0, policy_version 40930 (0.0009) -[2026-06-02 21:46:21,288][456401] Fps is (10 sec: 19660.7, 60 sec: 19114.6, 300 sec: 18938.8). Total num frames: 20971520. Throughput: 0: 18864.3. Samples: 20947968. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) -[2026-06-02 21:46:21,290][456401] Avg episode reward: [(0, '8066.050')] -[2026-06-02 21:46:21,294][457535] Saving results/checkpoints_factor_sweeps/demon_attack/context_window/demon_attack_frame_stack_fixed_l4_fs4_seed11/checkpoint_p0/checkpoint_000040960_20971520.pth... -[2026-06-02 21:46:21,334][457535] Saving new best policy, reward=8066.050! -[2026-06-02 21:46:22,109][457608] Updated weights for policy 0, policy_version 40992 (0.0008) -[2026-06-02 21:46:23,804][457608] Updated weights for policy 0, policy_version 41056 (0.0008) -[2026-06-02 21:46:25,611][457608] Updated weights for policy 0, policy_version 41136 (0.0010) -[2026-06-02 21:46:26,288][456401] Fps is (10 sec: 19660.6, 60 sec: 19114.6, 300 sec: 18994.3). Total num frames: 21069824. Throughput: 0: 18966.8. Samples: 21065728. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 21:46:26,289][456401] Avg episode reward: [(0, '7992.900')] -[2026-06-02 21:46:27,192][457608] Updated weights for policy 0, policy_version 41184 (0.0009) -[2026-06-02 21:46:28,743][457608] Updated weights for policy 0, policy_version 41234 (0.0005) -[2026-06-02 21:46:30,482][457608] Updated weights for policy 0, policy_version 41296 (0.0008) -[2026-06-02 21:46:31,288][456401] Fps is (10 sec: 19661.0, 60 sec: 19115.3, 300 sec: 18994.3). Total num frames: 21168128. Throughput: 0: 19023.6. Samples: 21179392. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 21:46:31,289][456401] Avg episode reward: [(0, '8105.950')] -[2026-06-02 21:46:31,294][457535] Saving new best policy, reward=8105.950! -[2026-06-02 21:46:32,210][457608] Updated weights for policy 0, policy_version 41360 (0.0010) -[2026-06-02 21:46:33,912][457608] Updated weights for policy 0, policy_version 41426 (0.0009) -[2026-06-02 21:46:35,655][457608] Updated weights for policy 0, policy_version 41491 (0.0009) -[2026-06-02 21:46:36,288][456401] Fps is (10 sec: 19660.8, 60 sec: 19114.7, 300 sec: 18994.3). Total num frames: 21266432. Throughput: 0: 18989.5. Samples: 21236736. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 21:46:36,289][456401] Avg episode reward: [(0, '8155.200')] -[2026-06-02 21:46:36,293][457535] Saving new best policy, reward=8155.200! -[2026-06-02 21:46:37,378][457608] Updated weights for policy 0, policy_version 41568 (0.0009) -[2026-06-02 21:46:38,894][457535] Signal inference workers to stop experience collection... (1950 times) -[2026-06-02 21:46:38,919][457608] InferenceWorker_p0-w0: stopping experience collection (1950 times) -[2026-06-02 21:46:39,012][457535] Signal inference workers to resume experience collection... (1950 times) -[2026-06-02 21:46:39,013][457608] InferenceWorker_p0-w0: resuming experience collection (1950 times) -[2026-06-02 21:46:39,127][457608] Updated weights for policy 0, policy_version 41632 (0.0010) -[2026-06-02 21:46:40,862][457608] Updated weights for policy 0, policy_version 41698 (0.0009) -[2026-06-02 21:46:41,288][456401] Fps is (10 sec: 19660.6, 60 sec: 19114.7, 300 sec: 18994.3). Total num frames: 21364736. Throughput: 0: 19114.6. Samples: 21354496. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 21:46:41,289][456401] Avg episode reward: [(0, '8003.900')] -[2026-06-02 21:46:42,504][457608] Updated weights for policy 0, policy_version 41746 (0.0009) -[2026-06-02 21:46:44,271][457608] Updated weights for policy 0, policy_version 41811 (0.0010) -[2026-06-02 21:46:46,052][457608] Updated weights for policy 0, policy_version 41888 (0.0010) -[2026-06-02 21:46:46,288][456401] Fps is (10 sec: 19661.0, 60 sec: 19114.7, 300 sec: 19022.1). Total num frames: 21463040. Throughput: 0: 19035.1. Samples: 21465088. Policy #0 lag: (min: 15.0, avg: 20.2, max: 79.0) -[2026-06-02 21:46:46,289][456401] Avg episode reward: [(0, '7898.250')] -[2026-06-02 21:46:47,806][457608] Updated weights for policy 0, policy_version 41952 (0.0009) -[2026-06-02 21:46:49,532][457608] Updated weights for policy 0, policy_version 42019 (0.0011) -[2026-06-02 21:46:51,033][457608] Updated weights for policy 0, policy_version 42080 (0.0009) -[2026-06-02 21:46:51,288][456401] Fps is (10 sec: 19661.2, 60 sec: 19114.7, 300 sec: 19077.6). Total num frames: 21561344. Throughput: 0: 19069.2. Samples: 21523456. Policy #0 lag: (min: 13.0, avg: 18.1, max: 77.0) -[2026-06-02 21:46:51,289][456401] Avg episode reward: [(0, '8049.300')] -[2026-06-02 21:46:52,848][457608] Updated weights for policy 0, policy_version 42160 (0.0011) -[2026-06-02 21:46:54,654][457608] Updated weights for policy 0, policy_version 42225 (0.0011) -[2026-06-02 21:46:56,155][457608] Updated weights for policy 0, policy_version 42275 (0.0007) -[2026-06-02 21:46:56,288][456401] Fps is (10 sec: 18841.5, 60 sec: 19251.2, 300 sec: 19077.6). Total num frames: 21651456. Throughput: 0: 19160.2. Samples: 21639168. Policy #0 lag: (min: 13.0, avg: 18.1, max: 77.0) -[2026-06-02 21:46:56,290][456401] Avg episode reward: [(0, '7949.500')] -[2026-06-02 21:46:57,751][457608] Updated weights for policy 0, policy_version 42339 (0.0011) -[2026-06-02 21:46:59,383][457608] Updated weights for policy 0, policy_version 42400 (0.0011) -[2026-06-02 21:47:01,022][457608] Updated weights for policy 0, policy_version 42464 (0.0010) -[2026-06-02 21:47:01,288][456401] Fps is (10 sec: 18841.6, 60 sec: 19524.3, 300 sec: 19077.6). Total num frames: 21749760. Throughput: 0: 19330.8. Samples: 21761024. Policy #0 lag: (min: 13.0, avg: 18.1, max: 77.0) -[2026-06-02 21:47:01,289][456401] Avg episode reward: [(0, '7943.550')] -[2026-06-02 21:47:02,883][457608] Updated weights for policy 0, policy_version 42528 (0.0010) -[2026-06-02 21:47:04,551][457608] Updated weights for policy 0, policy_version 42592 (0.0010) -[2026-06-02 21:47:06,128][457535] Signal inference workers to stop experience collection... (2000 times) -[2026-06-02 21:47:06,128][457608] Updated weights for policy 0, policy_version 42656 (0.0009) -[2026-06-02 21:47:06,157][457608] InferenceWorker_p0-w0: stopping experience collection (2000 times) -[2026-06-02 21:47:06,242][457535] Signal inference workers to resume experience collection... (2000 times) -[2026-06-02 21:47:06,243][457608] InferenceWorker_p0-w0: resuming experience collection (2000 times) -[2026-06-02 21:47:06,288][456401] Fps is (10 sec: 19660.9, 60 sec: 19524.3, 300 sec: 19077.6). Total num frames: 21848064. Throughput: 0: 19331.0. Samples: 21817856. Policy #0 lag: (min: 13.0, avg: 18.1, max: 77.0) -[2026-06-02 21:47:06,289][456401] Avg episode reward: [(0, '8169.950')] -[2026-06-02 21:47:06,408][457535] Saving new best policy, reward=8169.950! -[2026-06-02 21:47:07,717][457608] Updated weights for policy 0, policy_version 42720 (0.0009) -[2026-06-02 21:47:09,277][457608] Updated weights for policy 0, policy_version 42784 (0.0009) -[2026-06-02 21:47:10,980][457608] Updated weights for policy 0, policy_version 42850 (0.0009) -[2026-06-02 21:47:11,288][456401] Fps is (10 sec: 20480.0, 60 sec: 19660.9, 300 sec: 19105.4). Total num frames: 21954560. Throughput: 0: 19433.3. Samples: 21940224. Policy #0 lag: (min: 13.0, avg: 18.1, max: 77.0) -[2026-06-02 21:47:11,289][456401] Avg episode reward: [(0, '8091.000')] -[2026-06-02 21:47:12,784][457608] Updated weights for policy 0, policy_version 42928 (0.0010) -[2026-06-02 21:47:14,461][457608] Updated weights for policy 0, policy_version 42992 (0.0011) -[2026-06-02 21:47:16,099][457608] Updated weights for policy 0, policy_version 43042 (0.0009) -[2026-06-02 21:47:16,288][456401] Fps is (10 sec: 19660.5, 60 sec: 19524.2, 300 sec: 19077.6). Total num frames: 22044672. Throughput: 0: 19456.0. Samples: 22054912. Policy #0 lag: (min: 13.0, avg: 18.1, max: 77.0) -[2026-06-02 21:47:16,289][456401] Avg episode reward: [(0, '8226.450')] -[2026-06-02 21:47:16,339][457535] Saving new best policy, reward=8226.450! -[2026-06-02 21:47:17,670][457608] Updated weights for policy 0, policy_version 43106 (0.0009) -[2026-06-02 21:47:19,184][457608] Updated weights for policy 0, policy_version 43154 (0.0009) -[2026-06-02 21:47:20,913][457608] Updated weights for policy 0, policy_version 43218 (0.0010) -[2026-06-02 21:47:21,288][456401] Fps is (10 sec: 19660.6, 60 sec: 19660.8, 300 sec: 19105.4). Total num frames: 22151168. Throughput: 0: 19615.3. Samples: 22119424. Policy #0 lag: (min: 15.0, avg: 20.5, max: 79.0) -[2026-06-02 21:47:21,289][456401] Avg episode reward: [(0, '8439.450')] -[2026-06-02 21:47:21,294][457535] Saving new best policy, reward=8439.450! -[2026-06-02 21:47:22,403][457608] Updated weights for policy 0, policy_version 43266 (0.0009) -[2026-06-02 21:47:22,837][457608] Updated weights for policy 0, policy_version 43324 (0.0009) -[2026-06-02 21:47:24,461][457608] Updated weights for policy 0, policy_version 43386 (0.0009) -[2026-06-02 21:47:26,106][457608] Updated weights for policy 0, policy_version 43448 (0.0010) -[2026-06-02 21:47:26,288][456401] Fps is (10 sec: 20480.2, 60 sec: 19660.8, 300 sec: 19133.2). Total num frames: 22249472. Throughput: 0: 19569.9. Samples: 22235136. Policy #0 lag: (min: 15.0, avg: 20.5, max: 79.0) -[2026-06-02 21:47:26,289][456401] Avg episode reward: [(0, '8567.600')] -[2026-06-02 21:47:26,293][457535] Saving new best policy, reward=8567.600! -[2026-06-02 21:47:27,866][457608] Updated weights for policy 0, policy_version 43515 (0.0009) -[2026-06-02 21:47:29,618][457608] Updated weights for policy 0, policy_version 43578 (0.0009) -[2026-06-02 21:47:31,253][457608] Updated weights for policy 0, policy_version 43642 (0.0009) -[2026-06-02 21:47:31,288][456401] Fps is (10 sec: 18841.6, 60 sec: 19524.3, 300 sec: 19188.7). Total num frames: 22339584. Throughput: 0: 19694.9. Samples: 22351360. Policy #0 lag: (min: 15.0, avg: 20.5, max: 79.0) -[2026-06-02 21:47:31,289][456401] Avg episode reward: [(0, '8764.850')] -[2026-06-02 21:47:31,304][457535] Saving new best policy, reward=8764.850! -[2026-06-02 21:47:32,915][457608] Updated weights for policy 0, policy_version 43706 (0.0009) -[2026-06-02 21:47:34,257][457535] Signal inference workers to stop experience collection... (2050 times) -[2026-06-02 21:47:34,287][457608] InferenceWorker_p0-w0: stopping experience collection (2050 times) -[2026-06-02 21:47:34,360][457535] Signal inference workers to resume experience collection... (2050 times) -[2026-06-02 21:47:34,360][457608] InferenceWorker_p0-w0: resuming experience collection (2050 times) -[2026-06-02 21:47:34,564][457608] Updated weights for policy 0, policy_version 43768 (0.0010) -[2026-06-02 21:47:36,288][456401] Fps is (10 sec: 18841.6, 60 sec: 19524.3, 300 sec: 19188.7). Total num frames: 22437888. Throughput: 0: 19740.4. Samples: 22411776. Policy #0 lag: (min: 15.0, avg: 20.5, max: 79.0) -[2026-06-02 21:47:36,289][456401] Avg episode reward: [(0, '8784.850')] -[2026-06-02 21:47:36,333][457535] Saving new best policy, reward=8784.850! -[2026-06-02 21:47:36,346][457608] Updated weights for policy 0, policy_version 43840 (0.0009) -[2026-06-02 21:47:38,040][457608] Updated weights for policy 0, policy_version 43904 (0.0010) -[2026-06-02 21:47:39,745][457608] Updated weights for policy 0, policy_version 43968 (0.0009) -[2026-06-02 21:47:41,288][456401] Fps is (10 sec: 19660.9, 60 sec: 19524.3, 300 sec: 19188.7). Total num frames: 22536192. Throughput: 0: 19694.9. Samples: 22525440. Policy #0 lag: (min: 15.0, avg: 20.5, max: 79.0) -[2026-06-02 21:47:41,289][456401] Avg episode reward: [(0, '8799.800')] -[2026-06-02 21:47:41,373][457535] Saving new best policy, reward=8799.800! -[2026-06-02 21:47:41,386][457608] Updated weights for policy 0, policy_version 44032 (0.0009) -[2026-06-02 21:47:42,973][457608] Updated weights for policy 0, policy_version 44092 (0.0009) -[2026-06-02 21:47:44,528][457608] Updated weights for policy 0, policy_version 44150 (0.0011) -[2026-06-02 21:47:46,263][457608] Updated weights for policy 0, policy_version 44212 (0.0010) -[2026-06-02 21:47:46,288][456401] Fps is (10 sec: 19660.8, 60 sec: 19524.2, 300 sec: 19188.7). Total num frames: 22634496. Throughput: 0: 19638.0. Samples: 22644736. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 21:47:46,289][456401] Avg episode reward: [(0, '8781.900')] -[2026-06-02 21:47:47,894][457608] Updated weights for policy 0, policy_version 44276 (0.0010) -[2026-06-02 21:47:49,616][457608] Updated weights for policy 0, policy_version 44338 (0.0010) -[2026-06-02 21:47:51,241][457608] Updated weights for policy 0, policy_version 44400 (0.0009) -[2026-06-02 21:47:51,288][456401] Fps is (10 sec: 19660.9, 60 sec: 19524.3, 300 sec: 19216.5). Total num frames: 22732800. Throughput: 0: 19694.9. Samples: 22704128. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 21:47:51,289][456401] Avg episode reward: [(0, '8856.900')] -[2026-06-02 21:47:51,402][457535] Saving new best policy, reward=8856.900! -[2026-06-02 21:47:52,915][457608] Updated weights for policy 0, policy_version 44464 (0.0010) -[2026-06-02 21:47:54,635][457608] Updated weights for policy 0, policy_version 44528 (0.0010) -[2026-06-02 21:47:56,288][456401] Fps is (10 sec: 18841.7, 60 sec: 19524.3, 300 sec: 19244.3). Total num frames: 22822912. Throughput: 0: 19512.9. Samples: 22818304. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 21:47:56,289][456401] Avg episode reward: [(0, '9018.300')] -[2026-06-02 21:47:56,329][457608] Updated weights for policy 0, policy_version 44592 (0.0011) -[2026-06-02 21:47:56,487][457535] Saving new best policy, reward=9018.300! -[2026-06-02 21:47:58,043][457608] Updated weights for policy 0, policy_version 44656 (0.0010) -[2026-06-02 21:47:59,579][457608] Updated weights for policy 0, policy_version 44704 (0.0009) -[2026-06-02 21:48:01,284][457608] Updated weights for policy 0, policy_version 44770 (0.0010) -[2026-06-02 21:48:01,288][456401] Fps is (10 sec: 18841.5, 60 sec: 19524.3, 300 sec: 19272.0). Total num frames: 22921216. Throughput: 0: 19626.7. Samples: 22938112. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 21:48:01,289][456401] Avg episode reward: [(0, '9098.500')] -[2026-06-02 21:48:01,484][457535] Saving new best policy, reward=9098.500! -[2026-06-02 21:48:02,721][457535] Signal inference workers to stop experience collection... (2100 times) -[2026-06-02 21:48:02,749][457608] InferenceWorker_p0-w0: stopping experience collection (2100 times) -[2026-06-02 21:48:02,845][457535] Signal inference workers to resume experience collection... (2100 times) -[2026-06-02 21:48:02,845][457608] InferenceWorker_p0-w0: resuming experience collection (2100 times) -[2026-06-02 21:48:02,948][457608] Updated weights for policy 0, policy_version 44832 (0.0010) -[2026-06-02 21:48:04,558][457608] Updated weights for policy 0, policy_version 44896 (0.0010) -[2026-06-02 21:48:06,288][456401] Fps is (10 sec: 18841.6, 60 sec: 19387.7, 300 sec: 19244.3). Total num frames: 23011328. Throughput: 0: 19524.3. Samples: 22998016. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 21:48:06,289][456401] Avg episode reward: [(0, '9114.300')] -[2026-06-02 21:48:06,382][457608] Updated weights for policy 0, policy_version 44960 (0.0010) -[2026-06-02 21:48:06,480][457535] Saving new best policy, reward=9114.300! -[2026-06-02 21:48:08,087][457608] Updated weights for policy 0, policy_version 45024 (0.0009) -[2026-06-02 21:48:09,759][457608] Updated weights for policy 0, policy_version 45074 (0.0009) -[2026-06-02 21:48:11,288][456401] Fps is (10 sec: 18022.3, 60 sec: 19114.6, 300 sec: 19216.5). Total num frames: 23101440. Throughput: 0: 19353.6. Samples: 23106048. Policy #0 lag: (min: 15.0, avg: 21.0, max: 79.0) -[2026-06-02 21:48:11,289][456401] Avg episode reward: [(0, '9066.950')] -[2026-06-02 21:48:11,557][457608] Updated weights for policy 0, policy_version 45152 (0.0010) -[2026-06-02 21:48:13,239][457608] Updated weights for policy 0, policy_version 45200 (0.0009) -[2026-06-02 21:48:13,641][457608] Updated weights for policy 0, policy_version 45248 (0.0009) -[2026-06-02 21:48:15,390][457608] Updated weights for policy 0, policy_version 45312 (0.0009) -[2026-06-02 21:48:16,288][456401] Fps is (10 sec: 18841.6, 60 sec: 19251.2, 300 sec: 19216.5). Total num frames: 23199744. Throughput: 0: 19342.3. Samples: 23221760. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:48:16,289][456401] Avg episode reward: [(0, '9195.450')] -[2026-06-02 21:48:16,293][457535] Saving new best policy, reward=9195.450! -[2026-06-02 21:48:17,067][457608] Updated weights for policy 0, policy_version 45376 (0.0010) -[2026-06-02 21:48:18,624][457608] Updated weights for policy 0, policy_version 45440 (0.0010) -[2026-06-02 21:48:20,414][457608] Updated weights for policy 0, policy_version 45504 (0.0010) -[2026-06-02 21:48:21,288][456401] Fps is (10 sec: 19660.8, 60 sec: 19114.7, 300 sec: 19216.5). Total num frames: 23298048. Throughput: 0: 19308.1. Samples: 23280640. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:48:21,289][456401] Avg episode reward: [(0, '8921.300')] -[2026-06-02 21:48:23,459][457608] Updated weights for policy 0, policy_version 45584 (0.0012) -[2026-06-02 21:48:25,356][457608] Updated weights for policy 0, policy_version 45650 (0.0011) -[2026-06-02 21:48:26,288][456401] Fps is (10 sec: 19660.8, 60 sec: 19114.7, 300 sec: 19216.5). Total num frames: 23396352. Throughput: 0: 19319.5. Samples: 23394816. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:48:26,289][456401] Avg episode reward: [(0, '8938.200')] -[2026-06-02 21:48:26,906][457608] Updated weights for policy 0, policy_version 45712 (0.0010) -[2026-06-02 21:48:28,739][457608] Updated weights for policy 0, policy_version 45792 (0.0010) -[2026-06-02 21:48:30,343][457608] Updated weights for policy 0, policy_version 45840 (0.0010) -[2026-06-02 21:48:30,444][457535] Signal inference workers to stop experience collection... (2150 times) -[2026-06-02 21:48:30,470][457608] InferenceWorker_p0-w0: stopping experience collection (2150 times) -[2026-06-02 21:48:30,541][457535] Signal inference workers to resume experience collection... (2150 times) -[2026-06-02 21:48:30,542][457608] InferenceWorker_p0-w0: resuming experience collection (2150 times) -[2026-06-02 21:48:31,288][456401] Fps is (10 sec: 19660.8, 60 sec: 19251.2, 300 sec: 19216.5). Total num frames: 23494656. Throughput: 0: 19228.4. Samples: 23510016. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:48:31,290][456401] Avg episode reward: [(0, '8834.550')] -[2026-06-02 21:48:31,975][457608] Updated weights for policy 0, policy_version 45890 (0.0009) -[2026-06-02 21:48:33,729][457608] Updated weights for policy 0, policy_version 45968 (0.0010) -[2026-06-02 21:48:35,507][457608] Updated weights for policy 0, policy_version 46032 (0.0010) -[2026-06-02 21:48:35,905][457608] Updated weights for policy 0, policy_version 46080 (0.0009) -[2026-06-02 21:48:36,288][456401] Fps is (10 sec: 19660.8, 60 sec: 19251.2, 300 sec: 19216.5). Total num frames: 23592960. Throughput: 0: 19137.4. Samples: 23565312. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:48:36,289][456401] Avg episode reward: [(0, '8715.400')] -[2026-06-02 21:48:37,500][457608] Updated weights for policy 0, policy_version 46142 (0.0009) -[2026-06-02 21:48:39,225][457608] Updated weights for policy 0, policy_version 46200 (0.0010) -[2026-06-02 21:48:40,761][457608] Updated weights for policy 0, policy_version 46262 (0.0009) -[2026-06-02 21:48:41,288][456401] Fps is (10 sec: 19660.9, 60 sec: 19251.2, 300 sec: 19216.5). Total num frames: 23691264. Throughput: 0: 19262.6. Samples: 23685120. Policy #0 lag: (min: 15.0, avg: 20.3, max: 79.0) -[2026-06-02 21:48:41,290][456401] Avg episode reward: [(0, '8682.850')] -[2026-06-02 21:48:42,420][457608] Updated weights for policy 0, policy_version 46333 (0.0009) -[2026-06-02 21:48:44,143][457608] Updated weights for policy 0, policy_version 46392 (0.0010) -[2026-06-02 21:48:45,714][457608] Updated weights for policy 0, policy_version 46454 (0.0009) -[2026-06-02 21:48:46,288][456401] Fps is (10 sec: 19660.8, 60 sec: 19251.2, 300 sec: 19216.5). Total num frames: 23789568. Throughput: 0: 19194.3. Samples: 23801856. Policy #0 lag: (min: 33.0, avg: 38.0, max: 97.0) -[2026-06-02 21:48:46,289][456401] Avg episode reward: [(0, '8728.200')] -[2026-06-02 21:48:47,353][457608] Updated weights for policy 0, policy_version 46514 (0.0009) -[2026-06-02 21:48:49,032][457608] Updated weights for policy 0, policy_version 46580 (0.0009) -[2026-06-02 21:48:50,762][457608] Updated weights for policy 0, policy_version 46646 (0.0010) -[2026-06-02 21:48:51,288][456401] Fps is (10 sec: 19660.9, 60 sec: 19251.2, 300 sec: 19216.5). Total num frames: 23887872. Throughput: 0: 19160.2. Samples: 23860224. Policy #0 lag: (min: 33.0, avg: 38.0, max: 97.0) -[2026-06-02 21:48:51,289][456401] Avg episode reward: [(0, '8830.050')] -[2026-06-02 21:48:52,393][457608] Updated weights for policy 0, policy_version 46704 (0.0009) -[2026-06-02 21:48:54,036][457608] Updated weights for policy 0, policy_version 46768 (0.0009) -[2026-06-02 21:48:55,588][457608] Updated weights for policy 0, policy_version 46816 (0.0009) -[2026-06-02 21:48:56,288][456401] Fps is (10 sec: 19660.8, 60 sec: 19387.8, 300 sec: 19244.3). Total num frames: 23986176. Throughput: 0: 19444.7. Samples: 23981056. Policy #0 lag: (min: 33.0, avg: 38.0, max: 97.0) -[2026-06-02 21:48:56,289][456401] Avg episode reward: [(0, '8868.500')] -[2026-06-02 21:48:57,094][457608] Updated weights for policy 0, policy_version 46866 (0.0009) -[2026-06-02 21:48:58,896][457608] Updated weights for policy 0, policy_version 46928 (0.0009) -[2026-06-02 21:48:58,895][457535] Signal inference workers to stop experience collection... (2200 times) -[2026-06-02 21:48:58,925][457608] InferenceWorker_p0-w0: stopping experience collection (2200 times) -[2026-06-02 21:48:59,011][457535] Signal inference workers to resume experience collection... (2200 times) -[2026-06-02 21:48:59,011][457608] InferenceWorker_p0-w0: resuming experience collection (2200 times) -[2026-06-02 21:49:00,682][457608] Updated weights for policy 0, policy_version 47008 (0.0010) -[2026-06-02 21:49:01,288][456401] Fps is (10 sec: 19660.8, 60 sec: 19387.7, 300 sec: 19272.0). Total num frames: 24084480. Throughput: 0: 19353.6. Samples: 24092672. Policy #0 lag: (min: 33.0, avg: 38.0, max: 97.0) -[2026-06-02 21:49:01,289][456401] Avg episode reward: [(0, '9207.550')] -[2026-06-02 21:49:01,293][457535] Saving new best policy, reward=9207.550! -[2026-06-02 21:49:02,381][457608] Updated weights for policy 0, policy_version 47058 (0.0010) -[2026-06-02 21:49:03,965][457608] Updated weights for policy 0, policy_version 47122 (0.0009) -[2026-06-02 21:49:05,685][457608] Updated weights for policy 0, policy_version 47186 (0.0009) -[2026-06-02 21:49:06,288][456401] Fps is (10 sec: 19660.8, 60 sec: 19524.3, 300 sec: 19299.8). Total num frames: 24182784. Throughput: 0: 19399.1. Samples: 24153600. Policy #0 lag: (min: 33.0, avg: 38.0, max: 97.0) -[2026-06-02 21:49:06,289][456401] Avg episode reward: [(0, '9123.050')] -[2026-06-02 21:49:07,257][457608] Updated weights for policy 0, policy_version 47248 (0.0010) -[2026-06-02 21:49:08,883][457608] Updated weights for policy 0, policy_version 47312 (0.0009) -[2026-06-02 21:49:09,275][457608] Updated weights for policy 0, policy_version 47360 (0.0009) -[2026-06-02 21:49:10,799][457608] Updated weights for policy 0, policy_version 47424 (0.0005) -[2026-06-02 21:49:11,288][456401] Fps is (10 sec: 19660.8, 60 sec: 19660.8, 300 sec: 19327.6). Total num frames: 24281088. Throughput: 0: 19569.8. Samples: 24275456. Policy #0 lag: (min: 33.0, avg: 38.0, max: 97.0) -[2026-06-02 21:49:11,289][456401] Avg episode reward: [(0, '9278.250')] -[2026-06-02 21:49:11,292][457535] Saving new best policy, reward=9278.250! -[2026-06-02 21:49:12,457][457608] Updated weights for policy 0, policy_version 47484 (0.0005) -[2026-06-02 21:49:13,974][457608] Updated weights for policy 0, policy_version 47550 (0.0005) -[2026-06-02 21:49:15,553][457608] Updated weights for policy 0, policy_version 47606 (0.0005) -[2026-06-02 21:49:16,288][456401] Fps is (10 sec: 19660.8, 60 sec: 19660.8, 300 sec: 19327.6). Total num frames: 24379392. Throughput: 0: 19740.5. Samples: 24398336. Policy #0 lag: (min: 21.0, avg: 27.9, max: 85.0) -[2026-06-02 21:49:16,289][456401] Avg episode reward: [(0, '9340.450')] -[2026-06-02 21:49:16,292][457535] Saving new best policy, reward=9340.450! -[2026-06-02 21:49:16,910][457608] Updated weights for policy 0, policy_version 47650 (0.0005) -[2026-06-02 21:49:18,396][457608] Updated weights for policy 0, policy_version 47698 (0.0005) -[2026-06-02 21:49:19,934][457608] Updated weights for policy 0, policy_version 47748 (0.0005) -[2026-06-02 21:49:20,303][457608] Updated weights for policy 0, policy_version 47803 (0.0005) -[2026-06-02 21:49:21,288][456401] Fps is (10 sec: 19660.6, 60 sec: 19660.8, 300 sec: 19327.6). Total num frames: 24477696. Throughput: 0: 19865.6. Samples: 24459264. Policy #0 lag: (min: 21.0, avg: 27.9, max: 85.0) -[2026-06-02 21:49:21,289][456401] Avg episode reward: [(0, '9371.000')] -[2026-06-02 21:49:21,293][457535] Saving new best policy, reward=9371.000! -[2026-06-02 21:49:21,755][457608] Updated weights for policy 0, policy_version 47858 (0.0005) -[2026-06-02 21:49:23,289][457608] Updated weights for policy 0, policy_version 47920 (0.0008) -[2026-06-02 21:49:24,728][457608] Updated weights for policy 0, policy_version 47968 (0.0009) -[2026-06-02 21:49:26,251][457535] Signal inference workers to stop experience collection... (2250 times) -[2026-06-02 21:49:26,275][457608] InferenceWorker_p0-w0: stopping experience collection (2250 times) -[2026-06-02 21:49:26,288][456401] Fps is (10 sec: 19660.7, 60 sec: 19660.8, 300 sec: 19327.6). Total num frames: 24576000. Throughput: 0: 19956.6. Samples: 24583168. Policy #0 lag: (min: 21.0, avg: 27.9, max: 85.0) -[2026-06-02 21:49:26,289][456401] Avg episode reward: [(0, '9262.950')] -[2026-06-02 21:49:26,377][457535] Signal inference workers to resume experience collection... (2250 times) -[2026-06-02 21:49:26,377][457608] InferenceWorker_p0-w0: resuming experience collection (2250 times) -[2026-06-02 21:49:26,551][457608] Updated weights for policy 0, policy_version 48035 (0.0010) -[2026-06-02 21:49:28,202][457608] Updated weights for policy 0, policy_version 48096 (0.0009) -[2026-06-02 21:49:30,051][457608] Updated weights for policy 0, policy_version 48162 (0.0010) -[2026-06-02 21:49:31,288][456401] Fps is (10 sec: 19661.0, 60 sec: 19660.8, 300 sec: 19327.6). Total num frames: 24674304. Throughput: 0: 19990.8. Samples: 24701440. Policy #0 lag: (min: 21.0, avg: 27.9, max: 85.0) -[2026-06-02 21:49:31,289][456401] Avg episode reward: [(0, '9486.800')] -[2026-06-02 21:49:31,293][457535] Saving new best policy, reward=9486.800! -[2026-06-02 21:49:31,591][457608] Updated weights for policy 0, policy_version 48224 (0.0009) -[2026-06-02 21:49:33,326][457608] Updated weights for policy 0, policy_version 48288 (0.0010) -[2026-06-02 21:49:34,993][457608] Updated weights for policy 0, policy_version 48338 (0.0010) -[2026-06-02 21:49:36,288][456401] Fps is (10 sec: 19660.9, 60 sec: 19660.8, 300 sec: 19327.6). Total num frames: 24772608. Throughput: 0: 19945.2. Samples: 24757760. Policy #0 lag: (min: 21.0, avg: 27.9, max: 85.0) -[2026-06-02 21:49:36,289][456401] Avg episode reward: [(0, '9655.750')] -[2026-06-02 21:49:36,292][457535] Saving new best policy, reward=9655.750! -[2026-06-02 21:49:36,581][457608] Updated weights for policy 0, policy_version 48400 (0.0009) -[2026-06-02 21:49:38,464][457608] Updated weights for policy 0, policy_version 48464 (0.0010) -[2026-06-02 21:49:40,217][457608] Updated weights for policy 0, policy_version 48544 (0.0011) -[2026-06-02 21:49:41,288][456401] Fps is (10 sec: 19660.8, 60 sec: 19660.8, 300 sec: 19327.6). Total num frames: 24870912. Throughput: 0: 19808.7. Samples: 24872448. Policy #0 lag: (min: 21.0, avg: 27.9, max: 85.0) -[2026-06-02 21:49:41,289][456401] Avg episode reward: [(0, '9853.950')] -[2026-06-02 21:49:41,293][457535] Saving new best policy, reward=9853.950! -[2026-06-02 21:49:41,838][457608] Updated weights for policy 0, policy_version 48608 (0.0008) -[2026-06-02 21:49:43,209][457608] Updated weights for policy 0, policy_version 48643 (0.0006) -[2026-06-02 21:49:44,822][457608] Updated weights for policy 0, policy_version 48720 (0.0006) -[2026-06-02 21:49:46,288][456401] Fps is (10 sec: 19660.9, 60 sec: 19660.8, 300 sec: 19327.6). Total num frames: 24969216. Throughput: 0: 20059.0. Samples: 24995328. Policy #0 lag: (min: 0.0, avg: 8.1, max: 64.0) -[2026-06-02 21:49:46,289][456401] Avg episode reward: [(0, '9887.300')] -[2026-06-02 21:49:46,293][457535] Saving new best policy, reward=9887.300! -[2026-06-02 21:49:46,494][457608] Updated weights for policy 0, policy_version 48786 (0.0006) -[2026-06-02 21:49:48,189][457535] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 -[2026-06-02 21:49:48,191][457535] Stopping Batcher_0... -[2026-06-02 21:49:48,191][456401] Component RolloutWorker_w0 stopped! -[2026-06-02 21:49:48,191][457607] Stopping RolloutWorker_w0... -[2026-06-02 21:49:48,192][457607] Loop rollout_proc0_evt_loop terminating... -[2026-06-02 21:49:48,192][457535] Loop batcher_evt_loop terminating... -[2026-06-02 21:49:48,192][456401] Component Batcher_0 stopped! -[2026-06-02 21:49:48,273][457608] Weights refcount: 2 0 -[2026-06-02 21:49:48,274][457608] Stopping InferenceWorker_p0-w0... -[2026-06-02 21:49:48,274][457608] Loop inference_proc0-0_evt_loop terminating... -[2026-06-02 21:49:48,275][456401] Component InferenceWorker_p0-w0 stopped! -[2026-06-02 21:49:48,275][457535] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 -[2026-06-02 21:49:48,276][457535] Saving results/checkpoints_factor_sweeps/demon_attack/context_window/demon_attack_frame_stack_fixed_l4_fs4_seed11/checkpoint_p0/checkpoint_000048864_25018368.pth... -[2026-06-02 21:49:48,363][457535] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 -[2026-06-02 21:49:48,364][457535] Saving results/checkpoints_factor_sweeps/demon_attack/context_window/demon_attack_frame_stack_fixed_l4_fs4_seed11/checkpoint_p0/checkpoint_000048880_25026560.pth... -[2026-06-02 21:49:48,379][457535] Stopping LearnerWorker_p0... -[2026-06-02 21:49:48,380][457535] Loop learner_proc0_evt_loop terminating... -[2026-06-02 21:49:48,380][456401] Component LearnerWorker_p0 stopped! -[2026-06-02 21:49:48,380][456401] Waiting for process learner_proc0 to stop... -[2026-06-02 21:49:49,184][456401] Waiting for process inference_proc0-0 to join... -[2026-06-02 21:49:49,185][456401] Waiting for process rollout_proc0 to join... -[2026-06-02 21:49:49,186][456401] Batcher 0 profile tree view: -batching: 1.4175, releasing_batches: 1.6514 -[2026-06-02 21:49:49,186][456401] InferenceWorker_p0-w0 profile tree view: -wait_policy: 0.0051 - wait_policy_total: 1133.6513 -update_model: 9.3965 - weight_update: 0.0007 -one_step: 0.0043 - handle_policy_step: 95.7096 - deserialize: 1.9031, stack: 0.1085, obs_to_device_normalize: 19.4658, forward: 48.6251, prepare_outputs: 16.9440, send_messages: 3.2286 -[2026-06-02 21:49:49,187][456401] Learner 0 profile tree view: -misc: 0.0099, prepare_batch: 53.7955 -train: 329.2056 - epoch_init: 0.0607, minibatch_init: 2.8956, losses_postprocess: 68.3061, kl_divergence: 60.0532, update: 118.0464, after_optimizer: 31.1431 - calculate_losses: 44.9717 - losses_init: 0.0968, forward_head: 14.0953, bptt_initial: 0.4629, bptt: 0.4877, tail: 10.2611, advantages_returns: 3.3258, losses: 12.7123 -[2026-06-02 21:49:49,187][456401] RolloutWorker_w0 profile tree view: -wait_for_trajectories: 0.0357, enqueue_policy_requests: 7.3161, process_policy_outputs: 3.9101, env_step: 1167.9905, finalize_trajectories: 0.0785, complete_rollouts: 0.0718 -post_env_step: 10.9581 - process_env_step: 3.9494 -[2026-06-02 21:49:49,188][456401] Loop Runner_EvtLoop terminating... -[2026-06-02 21:49:49,189][456401] Runner profile tree view: -main_loop: 1403.9841 -[2026-06-02 21:49:49,189][456401] Collected {0: 25026560}, FPS: 17825.4 +[2026-06-04 06:29:13,431][74443] Using optimizer +[2026-06-04 06:29:15,027][74443] No checkpoints found +[2026-06-04 06:29:15,027][74443] Did not load from checkpoint, starting from scratch! +[2026-06-04 06:29:15,027][74443] Initialized policy 0 weights for model version 0 +[2026-06-04 06:29:15,068][74443] LearnerWorker_p0 finished initialization! +[2026-06-04 06:29:15,068][74443] Using GPUs [0] for process 0 (actually maps to GPUs [1]) +[2026-06-04 06:29:17,343][75030] Using GPUs [0] for process 0 (actually maps to GPUs [1]) +[2026-06-04 06:29:17,343][75030] Set environment var CUDA_VISIBLE_DEVICES to '1' (GPU indices [0]) for inference process 0 +[2026-06-04 06:29:17,344][75030] Num visible devices: 1 +[2026-06-04 06:29:17,344][75031] 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 06:29:17,344][75031] Using GPUs [0] for process 0 (actually maps to GPUs [1]) +[2026-06-04 06:29:17,344][75031] Set environment var CUDA_VISIBLE_DEVICES to '1' (GPU indices [0]) for actor process 0 +[2026-06-04 06:29:17,345][75031] Num visible devices: 1 +[2026-06-04 06:29:17,350][75030] RunningMeanStd input shape: (4, 84, 84) +[2026-06-04 06:29:17,378][75030] RunningMeanStd input shape: (1,) +[2026-06-04 06:29:17,391][75030] ConvEncoder: input_channels=4 +[2026-06-04 06:29:17,502][75030] Conv encoder output size: 512 +[2026-06-04 06:29:17,510][65146] Inference worker 0-0 is ready! +[2026-06-04 06:29:17,511][65146] All inference workers are ready! Signal rollout workers to start! +[2026-06-04 06:29:17,512][75031] EnvRunner 0-0 uses policy 0 +[2026-06-04 06:29:18,420][65146] 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 06:29:22,895][74443] Signal inference workers to stop experience collection... +[2026-06-04 06:29:22,923][75030] InferenceWorker_p0-w0: stopping experience collection +[2026-06-04 06:29:23,420][65146] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 204.8. Samples: 1024. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0) +[2026-06-04 06:29:23,424][65146] Components not started: Batcher_0, LearnerWorker_p0, InferenceWorker_p0-w0, RolloutWorker_w0, wait_time=363.2 seconds +[2026-06-04 06:29:24,727][74443] Signal inference workers to resume experience collection... +[2026-06-04 06:29:24,728][75030] InferenceWorker_p0-w0: resuming experience collection +[2026-06-04 06:29:28,267][75030] Updated weights for policy 0, policy_version 80 (0.0013) +[2026-06-04 06:29:28,420][65146] Fps is (10 sec: 4915.2, 60 sec: 4915.2, 300 sec: 4915.2). Total num frames: 49152. Throughput: 0: 5068.8. Samples: 50688. Policy #0 lag: (min: 15.0, avg: 21.5, max: 79.0) +[2026-06-04 06:29:29,161][65146] Heartbeat connected on Batcher_0 +[2026-06-04 06:29:29,168][65146] Heartbeat connected on LearnerWorker_p0 +[2026-06-04 06:29:29,224][65146] Heartbeat connected on RolloutWorker_w0 +[2026-06-04 06:29:29,227][65146] Heartbeat connected on InferenceWorker_p0-w0 +[2026-06-04 06:29:32,281][75030] Updated weights for policy 0, policy_version 176 (0.0012) +[2026-06-04 06:29:33,420][65146] Fps is (10 sec: 9830.5, 60 sec: 6553.6, 300 sec: 6553.6). Total num frames: 98304. Throughput: 0: 6860.9. Samples: 102912. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:29:33,421][65146] Avg episode reward: [(0, '35.000')] +[2026-06-04 06:29:36,262][75030] Updated weights for policy 0, policy_version 251 (0.0011) +[2026-06-04 06:29:38,420][65146] Fps is (10 sec: 8192.1, 60 sec: 6553.7, 300 sec: 6553.7). Total num frames: 131072. Throughput: 0: 6553.7. Samples: 131072. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 06:29:38,421][65146] Avg episode reward: [(0, '37.368')] +[2026-06-04 06:29:38,423][74443] Saving new best policy, reward=37.368! +[2026-06-04 06:29:43,420][65146] Fps is (10 sec: 7372.8, 60 sec: 6881.3, 300 sec: 6881.3). Total num frames: 172032. Throughput: 0: 7229.5. Samples: 180736. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 06:29:43,421][65146] Avg episode reward: [(0, '48.421')] +[2026-06-04 06:29:43,761][74443] Saving new best policy, reward=48.421! +[2026-06-04 06:29:43,763][75030] Updated weights for policy 0, policy_version 368 (0.0010) +[2026-06-04 06:29:47,840][75030] Updated weights for policy 0, policy_version 434 (0.0013) +[2026-06-04 06:29:48,420][65146] Fps is (10 sec: 9830.4, 60 sec: 7645.9, 300 sec: 7645.9). Total num frames: 229376. Throughput: 0: 7697.1. Samples: 230912. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:29:48,421][65146] Avg episode reward: [(0, '60.923')] +[2026-06-04 06:29:48,423][74443] Saving new best policy, reward=60.923! +[2026-06-04 06:29:52,016][75030] Updated weights for policy 0, policy_version 512 (0.0013) +[2026-06-04 06:29:53,420][65146] Fps is (10 sec: 9011.1, 60 sec: 7489.8, 300 sec: 7489.8). Total num frames: 262144. Throughput: 0: 7328.9. Samples: 256512. Policy #0 lag: (min: 11.0, avg: 14.8, max: 75.0) +[2026-06-04 06:29:53,421][65146] Avg episode reward: [(0, '74.100')] +[2026-06-04 06:29:53,427][74443] Saving new best policy, reward=74.100! +[2026-06-04 06:29:58,420][65146] Fps is (10 sec: 6553.5, 60 sec: 7372.8, 300 sec: 7372.8). Total num frames: 294912. Throughput: 0: 7488.0. Samples: 299520. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 06:29:58,421][65146] Avg episode reward: [(0, '94.200')] +[2026-06-04 06:29:58,426][74443] Saving new best policy, reward=94.200! +[2026-06-04 06:30:00,171][75030] Updated weights for policy 0, policy_version 624 (0.0013) +[2026-06-04 06:30:03,420][65146] Fps is (10 sec: 6553.7, 60 sec: 7281.8, 300 sec: 7281.8). Total num frames: 327680. Throughput: 0: 7771.0. Samples: 349696. Policy #0 lag: (min: 4.0, avg: 6.9, max: 68.0) +[2026-06-04 06:30:03,421][65146] Avg episode reward: [(0, '105.450')] +[2026-06-04 06:30:03,424][74443] Saving new best policy, reward=105.450! +[2026-06-04 06:30:04,621][75030] Updated weights for policy 0, policy_version 704 (0.0012) +[2026-06-04 06:30:08,420][65146] Fps is (10 sec: 7372.8, 60 sec: 7372.8, 300 sec: 7372.8). Total num frames: 368640. Throughput: 0: 8226.1. Samples: 371200. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 06:30:08,421][65146] Avg episode reward: [(0, '119.550')] +[2026-06-04 06:30:08,714][74443] Saving new best policy, reward=119.550! +[2026-06-04 06:30:12,992][75030] Updated weights for policy 0, policy_version 801 (0.0015) +[2026-06-04 06:30:13,420][65146] Fps is (10 sec: 9830.3, 60 sec: 7745.2, 300 sec: 7745.2). Total num frames: 425984. Throughput: 0: 8157.9. Samples: 417792. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:30:13,421][65146] Avg episode reward: [(0, '130.100')] +[2026-06-04 06:30:13,426][74443] Saving new best policy, reward=130.100! +[2026-06-04 06:30:17,253][75030] Updated weights for policy 0, policy_version 885 (0.0014) +[2026-06-04 06:30:18,420][65146] Fps is (10 sec: 9011.1, 60 sec: 7645.9, 300 sec: 7645.9). Total num frames: 458752. Throughput: 0: 8021.3. Samples: 463872. Policy #0 lag: (min: 1.0, avg: 5.2, max: 65.0) +[2026-06-04 06:30:18,422][65146] Avg episode reward: [(0, '135.800')] +[2026-06-04 06:30:18,426][74443] Saving new best policy, reward=135.800! +[2026-06-04 06:30:23,420][65146] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 7561.8). Total num frames: 491520. Throughput: 0: 7930.3. Samples: 487936. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 06:30:23,421][65146] Avg episode reward: [(0, '152.950')] +[2026-06-04 06:30:23,429][74443] Saving new best policy, reward=152.950! +[2026-06-04 06:30:25,459][75030] Updated weights for policy 0, policy_version 976 (0.0018) +[2026-06-04 06:30:28,420][65146] Fps is (10 sec: 6553.6, 60 sec: 7918.9, 300 sec: 7489.8). Total num frames: 524288. Throughput: 0: 7827.9. Samples: 532992. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 06:30:28,421][65146] Avg episode reward: [(0, '156.800')] +[2026-06-04 06:30:28,425][74443] Saving new best policy, reward=156.800! +[2026-06-04 06:30:29,769][74443] Signal inference workers to stop experience collection... (50 times) +[2026-06-04 06:30:29,802][75030] InferenceWorker_p0-w0: stopping experience collection (50 times) +[2026-06-04 06:30:29,907][74443] Signal inference workers to resume experience collection... (50 times) +[2026-06-04 06:30:29,908][75030] InferenceWorker_p0-w0: resuming experience collection (50 times) +[2026-06-04 06:30:29,972][75030] Updated weights for policy 0, policy_version 1075 (0.0019) +[2026-06-04 06:30:33,420][65146] Fps is (10 sec: 6553.7, 60 sec: 7645.9, 300 sec: 7427.4). Total num frames: 557056. Throughput: 0: 7771.0. Samples: 580608. Policy #0 lag: (min: 12.0, avg: 15.5, max: 76.0) +[2026-06-04 06:30:33,421][65146] Avg episode reward: [(0, '169.550')] +[2026-06-04 06:30:33,427][74443] Saving new best policy, reward=169.550! +[2026-06-04 06:30:34,449][75030] Updated weights for policy 0, policy_version 1144 (0.0013) +[2026-06-04 06:30:38,420][65146] Fps is (10 sec: 9011.4, 60 sec: 8055.5, 300 sec: 7680.0). Total num frames: 614400. Throughput: 0: 7702.8. Samples: 603136. Policy #0 lag: (min: 10.0, avg: 14.3, max: 74.0) +[2026-06-04 06:30:38,421][65146] Avg episode reward: [(0, '172.700')] +[2026-06-04 06:30:38,507][74443] Saving new best policy, reward=172.700! +[2026-06-04 06:30:42,099][75030] Updated weights for policy 0, policy_version 1232 (0.0013) +[2026-06-04 06:30:43,420][65146] Fps is (10 sec: 9830.4, 60 sec: 8055.5, 300 sec: 7710.1). Total num frames: 655360. Throughput: 0: 7816.5. Samples: 651264. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 06:30:43,421][65146] Avg episode reward: [(0, '179.150')] +[2026-06-04 06:30:43,425][74443] Saving new best policy, reward=179.150! +[2026-06-04 06:30:46,789][75030] Updated weights for policy 0, policy_version 1337 (0.0015) +[2026-06-04 06:30:48,420][65146] Fps is (10 sec: 7372.6, 60 sec: 7645.8, 300 sec: 7645.9). Total num frames: 688128. Throughput: 0: 7725.5. Samples: 697344. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 06:30:48,422][65146] Avg episode reward: [(0, '165.950')] +[2026-06-04 06:30:53,420][65146] Fps is (10 sec: 6553.6, 60 sec: 7645.9, 300 sec: 7588.4). Total num frames: 720896. Throughput: 0: 7782.4. Samples: 721408. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:30:53,421][65146] Avg episode reward: [(0, '166.400')] +[2026-06-04 06:30:54,813][75030] Updated weights for policy 0, policy_version 1424 (0.0014) +[2026-06-04 06:30:58,420][65146] Fps is (10 sec: 6553.6, 60 sec: 7645.9, 300 sec: 7536.6). Total num frames: 753664. Throughput: 0: 7771.0. Samples: 767488. Policy #0 lag: (min: 13.0, avg: 15.8, max: 77.0) +[2026-06-04 06:30:58,421][65146] Avg episode reward: [(0, '178.600')] +[2026-06-04 06:30:59,256][75030] Updated weights for policy 0, policy_version 1520 (0.0013) +[2026-06-04 06:31:03,420][65146] Fps is (10 sec: 8192.0, 60 sec: 7918.9, 300 sec: 7645.9). Total num frames: 802816. Throughput: 0: 7805.2. Samples: 815104. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 06:31:03,421][65146] Avg episode reward: [(0, '182.250')] +[2026-06-04 06:31:03,687][74443] Saving new best policy, reward=182.250! +[2026-06-04 06:31:03,719][75030] Updated weights for policy 0, policy_version 1600 (0.0013) +[2026-06-04 06:31:08,420][65146] Fps is (10 sec: 9830.6, 60 sec: 8055.5, 300 sec: 7745.2). Total num frames: 851968. Throughput: 0: 7782.4. Samples: 838144. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-04 06:31:08,421][65146] Avg episode reward: [(0, '199.300')] +[2026-06-04 06:31:08,424][74443] Saving new best policy, reward=199.300! +[2026-06-04 06:31:11,799][75030] Updated weights for policy 0, policy_version 1712 (0.0012) +[2026-06-04 06:31:13,420][65146] Fps is (10 sec: 8192.0, 60 sec: 7645.9, 300 sec: 7693.4). Total num frames: 884736. Throughput: 0: 7839.3. Samples: 885760. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 06:31:13,421][65146] Avg episode reward: [(0, '199.950')] +[2026-06-04 06:31:13,426][74443] Saving new best policy, reward=199.950! +[2026-06-04 06:31:16,186][75030] Updated weights for policy 0, policy_version 1789 (0.0018) +[2026-06-04 06:31:18,420][65146] Fps is (10 sec: 6553.5, 60 sec: 7645.9, 300 sec: 7645.9). Total num frames: 917504. Throughput: 0: 7793.8. Samples: 931328. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:31:18,421][65146] Avg episode reward: [(0, '181.600')] +[2026-06-04 06:31:23,420][65146] Fps is (10 sec: 6553.6, 60 sec: 7645.9, 300 sec: 7602.2). Total num frames: 950272. Throughput: 0: 7771.0. Samples: 952832. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:31:23,421][65146] Avg episode reward: [(0, '167.550')] +[2026-06-04 06:31:24,370][75030] Updated weights for policy 0, policy_version 1872 (0.0015) +[2026-06-04 06:31:28,420][65146] Fps is (10 sec: 6553.7, 60 sec: 7645.9, 300 sec: 7561.9). Total num frames: 983040. Throughput: 0: 7771.0. Samples: 1000960. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:31:28,421][65146] Avg episode reward: [(0, '168.500')] +[2026-06-04 06:31:28,917][75030] Updated weights for policy 0, policy_version 1972 (0.0016) +[2026-06-04 06:31:33,162][75030] Updated weights for policy 0, policy_version 2042 (0.0013) +[2026-06-04 06:31:33,420][65146] Fps is (10 sec: 9830.2, 60 sec: 8192.0, 300 sec: 7767.2). Total num frames: 1048576. Throughput: 0: 7816.5. Samples: 1049088. Policy #0 lag: (min: 9.0, avg: 12.2, max: 73.0) +[2026-06-04 06:31:33,422][65146] Avg episode reward: [(0, '168.350')] +[2026-06-04 06:31:38,420][65146] Fps is (10 sec: 9830.2, 60 sec: 7782.4, 300 sec: 7723.9). Total num frames: 1081344. Throughput: 0: 7782.4. Samples: 1071616. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:31:38,422][65146] Avg episode reward: [(0, '182.650')] +[2026-06-04 06:31:41,021][74443] Signal inference workers to stop experience collection... (100 times) +[2026-06-04 06:31:41,022][75030] Updated weights for policy 0, policy_version 2128 (0.0014) +[2026-06-04 06:31:41,051][75030] InferenceWorker_p0-w0: stopping experience collection (100 times) +[2026-06-04 06:31:41,189][74443] Signal inference workers to resume experience collection... (100 times) +[2026-06-04 06:31:41,190][75030] InferenceWorker_p0-w0: resuming experience collection (100 times) +[2026-06-04 06:31:43,420][65146] Fps is (10 sec: 6553.7, 60 sec: 7645.9, 300 sec: 7683.5). Total num frames: 1114112. Throughput: 0: 7771.1. Samples: 1117184. Policy #0 lag: (min: 10.0, avg: 12.9, max: 74.0) +[2026-06-04 06:31:43,421][65146] Avg episode reward: [(0, '191.550')] +[2026-06-04 06:31:45,597][75030] Updated weights for policy 0, policy_version 2227 (0.0017) +[2026-06-04 06:31:48,420][65146] Fps is (10 sec: 6553.7, 60 sec: 7645.9, 300 sec: 7645.9). Total num frames: 1146880. Throughput: 0: 7805.2. Samples: 1166336. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:31:48,421][65146] Avg episode reward: [(0, '191.800')] +[2026-06-04 06:31:49,860][75030] Updated weights for policy 0, policy_version 2304 (0.0014) +[2026-06-04 06:31:53,420][65146] Fps is (10 sec: 6553.4, 60 sec: 7645.8, 300 sec: 7610.6). Total num frames: 1179648. Throughput: 0: 7793.7. Samples: 1188864. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 06:31:53,422][65146] Avg episode reward: [(0, '203.450')] +[2026-06-04 06:31:53,427][74443] Saving new best policy, reward=203.450! +[2026-06-04 06:31:58,028][75030] Updated weights for policy 0, policy_version 2400 (0.0012) +[2026-06-04 06:31:58,420][65146] Fps is (10 sec: 9011.2, 60 sec: 8055.5, 300 sec: 7731.2). Total num frames: 1236992. Throughput: 0: 7759.6. Samples: 1234944. Policy #0 lag: (min: 11.0, avg: 15.0, max: 75.0) +[2026-06-04 06:31:58,422][65146] Avg episode reward: [(0, '210.250')] +[2026-06-04 06:31:58,513][74443] Saving new best policy, reward=210.250! +[2026-06-04 06:32:02,653][75030] Updated weights for policy 0, policy_version 2487 (0.0015) +[2026-06-04 06:32:03,421][65146] Fps is (10 sec: 9829.8, 60 sec: 7918.8, 300 sec: 7745.1). Total num frames: 1277952. Throughput: 0: 7736.8. Samples: 1279488. Policy #0 lag: (min: 7.0, avg: 10.9, max: 71.0) +[2026-06-04 06:32:03,423][65146] Avg episode reward: [(0, '211.050')] +[2026-06-04 06:32:03,429][74443] Saving new best policy, reward=211.050! +[2026-06-04 06:32:06,952][75030] Updated weights for policy 0, policy_version 2560 (0.0016) +[2026-06-04 06:32:08,420][65146] Fps is (10 sec: 7372.9, 60 sec: 7645.9, 300 sec: 7710.1). Total num frames: 1310720. Throughput: 0: 7816.5. Samples: 1304576. Policy #0 lag: (min: 5.0, avg: 7.9, max: 69.0) +[2026-06-04 06:32:08,421][65146] Avg episode reward: [(0, '211.050')] +[2026-06-04 06:32:13,420][65146] Fps is (10 sec: 6554.1, 60 sec: 7645.9, 300 sec: 7677.1). Total num frames: 1343488. Throughput: 0: 7805.1. Samples: 1352192. Policy #0 lag: (min: 7.0, avg: 10.0, max: 71.0) +[2026-06-04 06:32:13,421][65146] Avg episode reward: [(0, '190.950')] +[2026-06-04 06:32:14,738][75030] Updated weights for policy 0, policy_version 2672 (0.0019) +[2026-06-04 06:32:18,420][65146] Fps is (10 sec: 7372.9, 60 sec: 7782.4, 300 sec: 7691.4). Total num frames: 1384448. Throughput: 0: 7862.1. Samples: 1402880. Policy #0 lag: (min: 1.0, avg: 3.8, max: 65.0) +[2026-06-04 06:32:18,421][65146] Avg episode reward: [(0, '205.300')] +[2026-06-04 06:32:22,238][75030] Updated weights for policy 0, policy_version 2768 (0.0015) +[2026-06-04 06:32:23,420][65146] Fps is (10 sec: 9830.4, 60 sec: 8192.0, 300 sec: 7793.5). Total num frames: 1441792. Throughput: 0: 7907.6. Samples: 1427456. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 06:32:23,421][65146] Avg episode reward: [(0, '219.600')] +[2026-06-04 06:32:23,427][74443] Saving new best policy, reward=219.600! +[2026-06-04 06:32:26,588][75030] Updated weights for policy 0, policy_version 2868 (0.0013) +[2026-06-04 06:32:28,420][65146] Fps is (10 sec: 9010.9, 60 sec: 8192.0, 300 sec: 7760.8). Total num frames: 1474560. Throughput: 0: 7998.6. Samples: 1477120. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:32:28,421][65146] Avg episode reward: [(0, '208.250')] +[2026-06-04 06:32:30,888][75030] Updated weights for policy 0, policy_version 2944 (0.0016) +[2026-06-04 06:32:33,420][65146] Fps is (10 sec: 6553.6, 60 sec: 7645.9, 300 sec: 7729.9). Total num frames: 1507328. Throughput: 0: 7975.8. Samples: 1525248. Policy #0 lag: (min: 9.0, avg: 12.8, max: 73.0) +[2026-06-04 06:32:33,422][65146] Avg episode reward: [(0, '209.900')] +[2026-06-04 06:32:38,420][65146] Fps is (10 sec: 6553.7, 60 sec: 7645.9, 300 sec: 7700.5). Total num frames: 1540096. Throughput: 0: 7930.4. Samples: 1545728. Policy #0 lag: (min: 9.0, avg: 11.9, max: 73.0) +[2026-06-04 06:32:38,421][65146] Avg episode reward: [(0, '204.950')] +[2026-06-04 06:32:39,341][75030] Updated weights for policy 0, policy_version 3056 (0.0018) +[2026-06-04 06:32:43,420][65146] Fps is (10 sec: 7372.7, 60 sec: 7782.4, 300 sec: 7712.5). Total num frames: 1581056. Throughput: 0: 7930.3. Samples: 1591808. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 06:32:43,422][65146] Avg episode reward: [(0, '225.850')] +[2026-06-04 06:32:43,629][74443] Saving new best policy, reward=225.850! +[2026-06-04 06:32:43,869][75030] Updated weights for policy 0, policy_version 3132 (0.0017) +[2026-06-04 06:32:47,807][75030] Updated weights for policy 0, policy_version 3200 (0.0014) +[2026-06-04 06:32:48,420][65146] Fps is (10 sec: 9830.4, 60 sec: 8192.0, 300 sec: 7801.9). Total num frames: 1638400. Throughput: 0: 8021.5. Samples: 1640448. Policy #0 lag: (min: 31.0, avg: 35.0, max: 95.0) +[2026-06-04 06:32:48,421][65146] Avg episode reward: [(0, '228.850')] +[2026-06-04 06:32:48,426][74443] Saving new best policy, reward=228.850! +[2026-06-04 06:32:51,216][74443] Signal inference workers to stop experience collection... (150 times) +[2026-06-04 06:32:51,244][75030] InferenceWorker_p0-w0: stopping experience collection (150 times) +[2026-06-04 06:32:51,399][74443] Signal inference workers to resume experience collection... (150 times) +[2026-06-04 06:32:51,400][75030] InferenceWorker_p0-w0: resuming experience collection (150 times) +[2026-06-04 06:32:53,420][65146] Fps is (10 sec: 9011.4, 60 sec: 8192.0, 300 sec: 7772.9). Total num frames: 1671168. Throughput: 0: 8021.3. Samples: 1665536. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 06:32:53,421][65146] Avg episode reward: [(0, '242.400')] +[2026-06-04 06:32:53,426][74443] Saving new best policy, reward=242.400! +[2026-06-04 06:32:55,857][75030] Updated weights for policy 0, policy_version 3312 (0.0012) +[2026-06-04 06:32:58,420][65146] Fps is (10 sec: 6553.6, 60 sec: 7782.4, 300 sec: 7745.2). Total num frames: 1703936. Throughput: 0: 7975.8. Samples: 1711104. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 06:32:58,421][65146] Avg episode reward: [(0, '223.250')] +[2026-06-04 06:33:00,018][75030] Updated weights for policy 0, policy_version 3385 (0.0013) +[2026-06-04 06:33:03,420][65146] Fps is (10 sec: 6553.7, 60 sec: 7646.0, 300 sec: 7718.7). Total num frames: 1736704. Throughput: 0: 8021.3. Samples: 1763840. Policy #0 lag: (min: 26.0, avg: 28.7, max: 90.0) +[2026-06-04 06:33:03,421][65146] Avg episode reward: [(0, '231.250')] +[2026-06-04 06:33:04,163][75030] Updated weights for policy 0, policy_version 3456 (0.0014) +[2026-06-04 06:33:08,420][65146] Fps is (10 sec: 9830.3, 60 sec: 8192.0, 300 sec: 7835.8). Total num frames: 1802240. Throughput: 0: 7964.4. Samples: 1785856. Policy #0 lag: (min: 31.0, avg: 34.0, max: 95.0) +[2026-06-04 06:33:08,421][65146] Avg episode reward: [(0, '226.650')] +[2026-06-04 06:33:12,027][75030] Updated weights for policy 0, policy_version 3568 (0.0014) +[2026-06-04 06:33:13,420][65146] Fps is (10 sec: 9830.2, 60 sec: 8192.0, 300 sec: 7808.5). Total num frames: 1835008. Throughput: 0: 7953.1. Samples: 1835008. Policy #0 lag: (min: 63.0, avg: 65.8, max: 127.0) +[2026-06-04 06:33:13,421][65146] Avg episode reward: [(0, '237.650')] +[2026-06-04 06:33:16,313][75030] Updated weights for policy 0, policy_version 3640 (0.0013) +[2026-06-04 06:33:18,420][65146] Fps is (10 sec: 6553.5, 60 sec: 8055.4, 300 sec: 7782.4). Total num frames: 1867776. Throughput: 0: 7918.9. Samples: 1881600. Policy #0 lag: (min: 63.0, avg: 65.8, max: 127.0) +[2026-06-04 06:33:18,422][65146] Avg episode reward: [(0, '235.250')] +[2026-06-04 06:33:23,420][65146] Fps is (10 sec: 6553.5, 60 sec: 7645.8, 300 sec: 7757.3). Total num frames: 1900544. Throughput: 0: 7987.1. Samples: 1905152. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:33:23,422][65146] Avg episode reward: [(0, '235.800')] +[2026-06-04 06:33:23,427][74443] Saving results/checkpoints_factor_sweeps/demon_attack/context_window/demon_attack_frame_stack_fixed_l4_fs4_seed11/checkpoint_p0/checkpoint_000003712_1900544.pth... +[2026-06-04 06:33:24,235][75030] Updated weights for policy 0, policy_version 3728 (0.0014) +[2026-06-04 06:33:28,420][65146] Fps is (10 sec: 8192.3, 60 sec: 7919.0, 300 sec: 7798.8). Total num frames: 1949696. Throughput: 0: 8021.4. Samples: 1952768. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:33:28,421][65146] Avg episode reward: [(0, '250.750')] +[2026-06-04 06:33:28,625][75030] Updated weights for policy 0, policy_version 3827 (0.0014) +[2026-06-04 06:33:28,820][74443] Saving new best policy, reward=250.750! +[2026-06-04 06:33:32,874][75030] Updated weights for policy 0, policy_version 3904 (0.0013) +[2026-06-04 06:33:33,420][65146] Fps is (10 sec: 9830.6, 60 sec: 8192.0, 300 sec: 7838.6). Total num frames: 1998848. Throughput: 0: 7998.6. Samples: 2000384. Policy #0 lag: (min: 56.0, avg: 59.0, max: 120.0) +[2026-06-04 06:33:33,421][65146] Avg episode reward: [(0, '238.600')] +[2026-06-04 06:33:38,420][65146] Fps is (10 sec: 8191.9, 60 sec: 8192.0, 300 sec: 7813.9). Total num frames: 2031616. Throughput: 0: 8055.5. Samples: 2028032. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:33:38,421][65146] Avg episode reward: [(0, '238.900')] +[2026-06-04 06:33:40,295][75030] Updated weights for policy 0, policy_version 4000 (0.0016) +[2026-06-04 06:33:43,420][65146] Fps is (10 sec: 6553.6, 60 sec: 8055.5, 300 sec: 7790.1). Total num frames: 2064384. Throughput: 0: 8112.4. Samples: 2076160. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:33:43,421][65146] Avg episode reward: [(0, '230.400')] +[2026-06-04 06:33:44,907][75030] Updated weights for policy 0, policy_version 4091 (0.0018) +[2026-06-04 06:33:48,420][65146] Fps is (10 sec: 6553.6, 60 sec: 7645.9, 300 sec: 7767.2). Total num frames: 2097152. Throughput: 0: 7975.8. Samples: 2122752. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 06:33:48,421][65146] Avg episode reward: [(0, '232.700')] +[2026-06-04 06:33:52,824][75030] Updated weights for policy 0, policy_version 4176 (0.0012) +[2026-06-04 06:33:53,420][65146] Fps is (10 sec: 9829.9, 60 sec: 8191.9, 300 sec: 7864.3). Total num frames: 2162688. Throughput: 0: 7975.8. Samples: 2144768. Policy #0 lag: (min: 39.0, avg: 42.8, max: 103.0) +[2026-06-04 06:33:53,422][65146] Avg episode reward: [(0, '231.850')] +[2026-06-04 06:33:57,111][74443] Signal inference workers to stop experience collection... (200 times) +[2026-06-04 06:33:57,140][75030] InferenceWorker_p0-w0: stopping experience collection (200 times) +[2026-06-04 06:33:57,278][74443] Signal inference workers to resume experience collection... (200 times) +[2026-06-04 06:33:57,279][75030] InferenceWorker_p0-w0: resuming experience collection (200 times) +[2026-06-04 06:33:57,380][75030] Updated weights for policy 0, policy_version 4277 (0.0013) +[2026-06-04 06:33:58,420][65146] Fps is (10 sec: 9830.4, 60 sec: 8192.0, 300 sec: 7840.9). Total num frames: 2195456. Throughput: 0: 7987.2. Samples: 2194432. Policy #0 lag: (min: 0.0, avg: 3.7, max: 64.0) +[2026-06-04 06:33:58,421][65146] Avg episode reward: [(0, '235.750')] +[2026-06-04 06:34:03,420][65146] Fps is (10 sec: 6554.0, 60 sec: 8192.0, 300 sec: 7818.3). Total num frames: 2228224. Throughput: 0: 8010.0. Samples: 2242048. Policy #0 lag: (min: 0.0, avg: 3.7, max: 64.0) +[2026-06-04 06:34:03,421][65146] Avg episode reward: [(0, '259.400')] +[2026-06-04 06:34:03,425][74443] Saving new best policy, reward=259.400! +[2026-06-04 06:34:04,848][75030] Updated weights for policy 0, policy_version 4368 (0.0014) +[2026-06-04 06:34:08,420][65146] Fps is (10 sec: 6553.4, 60 sec: 7645.8, 300 sec: 7796.5). Total num frames: 2260992. Throughput: 0: 8009.9. Samples: 2265600. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:34:08,422][65146] Avg episode reward: [(0, '296.950')] +[2026-06-04 06:34:08,427][74443] Saving new best policy, reward=296.950! +[2026-06-04 06:34:09,538][75030] Updated weights for policy 0, policy_version 4471 (0.0016) +[2026-06-04 06:34:13,420][65146] Fps is (10 sec: 9011.1, 60 sec: 8055.5, 300 sec: 7858.8). Total num frames: 2318336. Throughput: 0: 8055.4. Samples: 2315264. Policy #0 lag: (min: 60.0, avg: 62.7, max: 124.0) +[2026-06-04 06:34:13,422][65146] Avg episode reward: [(0, '309.100')] +[2026-06-04 06:34:13,663][74443] Saving new best policy, reward=309.100! +[2026-06-04 06:34:17,264][75030] Updated weights for policy 0, policy_version 4560 (0.0017) +[2026-06-04 06:34:18,420][65146] Fps is (10 sec: 9830.6, 60 sec: 8192.0, 300 sec: 7997.6). Total num frames: 2359296. Throughput: 0: 8010.0. Samples: 2360832. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 06:34:18,421][65146] Avg episode reward: [(0, '278.800')] +[2026-06-04 06:34:21,971][75030] Updated weights for policy 0, policy_version 4660 (0.0015) +[2026-06-04 06:34:23,421][65146] Fps is (10 sec: 7372.3, 60 sec: 8191.9, 300 sec: 7942.1). Total num frames: 2392064. Throughput: 0: 7953.0. Samples: 2385920. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 06:34:23,423][65146] Avg episode reward: [(0, '238.600')] +[2026-06-04 06:34:26,394][75030] Updated weights for policy 0, policy_version 4734 (0.0013) +[2026-06-04 06:34:28,420][65146] Fps is (10 sec: 6553.5, 60 sec: 7918.9, 300 sec: 7886.5). Total num frames: 2424832. Throughput: 0: 7850.6. Samples: 2429440. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 06:34:28,422][65146] Avg episode reward: [(0, '233.550')] +[2026-06-04 06:34:33,420][65146] Fps is (10 sec: 6554.0, 60 sec: 7645.9, 300 sec: 7886.5). Total num frames: 2457600. Throughput: 0: 7941.7. Samples: 2480128. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 06:34:33,421][65146] Avg episode reward: [(0, '245.750')] +[2026-06-04 06:34:34,353][75030] Updated weights for policy 0, policy_version 4848 (0.0016) +[2026-06-04 06:34:38,421][65146] Fps is (10 sec: 6553.3, 60 sec: 7645.8, 300 sec: 7858.7). Total num frames: 2490368. Throughput: 0: 7907.5. Samples: 2500608. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 06:34:38,423][65146] Avg episode reward: [(0, '240.100')] +[2026-06-04 06:34:38,983][75030] Updated weights for policy 0, policy_version 4928 (0.0014) +[2026-06-04 06:34:43,420][65146] Fps is (10 sec: 9830.4, 60 sec: 8192.0, 300 sec: 7886.5). Total num frames: 2555904. Throughput: 0: 7873.4. Samples: 2548736. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 06:34:43,421][65146] Avg episode reward: [(0, '254.100')] +[2026-06-04 06:34:46,959][75030] Updated weights for policy 0, policy_version 5041 (0.0014) +[2026-06-04 06:34:48,420][65146] Fps is (10 sec: 9831.0, 60 sec: 8192.0, 300 sec: 7886.5). Total num frames: 2588672. Throughput: 0: 7884.8. Samples: 2596864. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 06:34:48,421][65146] Avg episode reward: [(0, '258.050')] +[2026-06-04 06:34:53,420][65146] Fps is (10 sec: 6553.5, 60 sec: 7645.9, 300 sec: 7886.5). Total num frames: 2621440. Throughput: 0: 7930.3. Samples: 2622464. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:34:53,421][65146] Avg episode reward: [(0, '267.900')] +[2026-06-04 06:34:54,725][75030] Updated weights for policy 0, policy_version 5136 (0.0015) +[2026-06-04 06:34:58,420][65146] Fps is (10 sec: 6553.7, 60 sec: 7645.9, 300 sec: 7886.5). Total num frames: 2654208. Throughput: 0: 7862.1. Samples: 2669056. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:34:58,421][65146] Avg episode reward: [(0, '263.700')] +[2026-06-04 06:34:59,367][75030] Updated weights for policy 0, policy_version 5238 (0.0014) +[2026-06-04 06:35:03,420][65146] Fps is (10 sec: 8192.0, 60 sec: 7918.9, 300 sec: 7914.3). Total num frames: 2703360. Throughput: 0: 7884.8. Samples: 2715648. Policy #0 lag: (min: 1.0, avg: 3.8, max: 65.0) +[2026-06-04 06:35:03,422][65146] Avg episode reward: [(0, '266.800')] +[2026-06-04 06:35:07,672][74443] Signal inference workers to stop experience collection... (250 times) +[2026-06-04 06:35:07,675][75030] Updated weights for policy 0, policy_version 5328 (0.0018) +[2026-06-04 06:35:07,708][75030] InferenceWorker_p0-w0: stopping experience collection (250 times) +[2026-06-04 06:35:07,821][74443] Signal inference workers to resume experience collection... (250 times) +[2026-06-04 06:35:07,823][75030] InferenceWorker_p0-w0: resuming experience collection (250 times) +[2026-06-04 06:35:08,420][65146] Fps is (10 sec: 9829.9, 60 sec: 8192.0, 300 sec: 7886.5). Total num frames: 2752512. Throughput: 0: 7816.6. Samples: 2737664. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 06:35:08,422][65146] Avg episode reward: [(0, '278.450')] +[2026-06-04 06:35:12,032][75030] Updated weights for policy 0, policy_version 5424 (0.0013) +[2026-06-04 06:35:13,420][65146] Fps is (10 sec: 8191.9, 60 sec: 7782.4, 300 sec: 7886.5). Total num frames: 2785280. Throughput: 0: 7918.9. Samples: 2785792. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-04 06:35:13,421][65146] Avg episode reward: [(0, '283.850')] +[2026-06-04 06:35:16,580][75030] Updated weights for policy 0, policy_version 5502 (0.0016) +[2026-06-04 06:35:18,420][65146] Fps is (10 sec: 6553.7, 60 sec: 7645.9, 300 sec: 7886.5). Total num frames: 2818048. Throughput: 0: 7793.8. Samples: 2830848. Policy #0 lag: (min: 3.0, avg: 7.0, max: 67.0) +[2026-06-04 06:35:18,422][65146] Avg episode reward: [(0, '281.900')] +[2026-06-04 06:35:23,420][65146] Fps is (10 sec: 6553.7, 60 sec: 7645.9, 300 sec: 7886.5). Total num frames: 2850816. Throughput: 0: 7839.4. Samples: 2853376. Policy #0 lag: (min: 3.0, avg: 7.0, max: 67.0) +[2026-06-04 06:35:23,422][65146] Avg episode reward: [(0, '251.950')] +[2026-06-04 06:35:24,394][75030] Updated weights for policy 0, policy_version 5600 (0.0013) +[2026-06-04 06:35:28,420][65146] Fps is (10 sec: 6553.5, 60 sec: 7645.9, 300 sec: 7886.5). Total num frames: 2883584. Throughput: 0: 7827.9. Samples: 2900992. Policy #0 lag: (min: 6.0, avg: 8.9, max: 70.0) +[2026-06-04 06:35:28,422][65146] Avg episode reward: [(0, '244.800')] +[2026-06-04 06:35:28,969][75030] Updated weights for policy 0, policy_version 5683 (0.0013) +[2026-06-04 06:35:33,046][75030] Updated weights for policy 0, policy_version 5759 (0.0012) +[2026-06-04 06:35:33,420][65146] Fps is (10 sec: 9830.5, 60 sec: 8192.0, 300 sec: 7914.3). Total num frames: 2949120. Throughput: 0: 7850.7. Samples: 2950144. Policy #0 lag: (min: 10.0, avg: 13.4, max: 74.0) +[2026-06-04 06:35:33,421][65146] Avg episode reward: [(0, '277.150')] +[2026-06-04 06:35:38,420][65146] Fps is (10 sec: 9830.4, 60 sec: 8192.0, 300 sec: 7886.5). Total num frames: 2981888. Throughput: 0: 7827.9. Samples: 2974720. Policy #0 lag: (min: 10.0, avg: 13.4, max: 74.0) +[2026-06-04 06:35:38,421][65146] Avg episode reward: [(0, '281.100')] +[2026-06-04 06:35:40,729][75030] Updated weights for policy 0, policy_version 5856 (0.0013) +[2026-06-04 06:35:43,420][65146] Fps is (10 sec: 6553.6, 60 sec: 7645.9, 300 sec: 7886.5). Total num frames: 3014656. Throughput: 0: 7850.6. Samples: 3022336. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-04 06:35:43,421][65146] Avg episode reward: [(0, '278.950')] +[2026-06-04 06:35:44,519][75030] Updated weights for policy 0, policy_version 5936 (0.0016) +[2026-06-04 06:35:48,420][65146] Fps is (10 sec: 7372.9, 60 sec: 7782.4, 300 sec: 7914.3). Total num frames: 3055616. Throughput: 0: 8009.9. Samples: 3076096. Policy #0 lag: (min: 13.0, avg: 16.4, max: 77.0) +[2026-06-04 06:35:48,421][65146] Avg episode reward: [(0, '264.400')] +[2026-06-04 06:35:48,764][75030] Updated weights for policy 0, policy_version 6007 (0.0017) +[2026-06-04 06:35:53,420][75030] Updated weights for policy 0, policy_version 6080 (0.0014) +[2026-06-04 06:35:53,420][65146] Fps is (10 sec: 9830.2, 60 sec: 8192.0, 300 sec: 7997.6). Total num frames: 3112960. Throughput: 0: 7998.6. Samples: 3097600. Policy #0 lag: (min: 13.0, avg: 16.4, max: 77.0) +[2026-06-04 06:35:53,422][65146] Avg episode reward: [(0, '283.800')] +[2026-06-04 06:35:58,420][65146] Fps is (10 sec: 9011.3, 60 sec: 8192.0, 300 sec: 7942.1). Total num frames: 3145728. Throughput: 0: 8010.0. Samples: 3146240. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:35:58,421][65146] Avg episode reward: [(0, '278.350')] +[2026-06-04 06:36:00,933][75030] Updated weights for policy 0, policy_version 6192 (0.0013) +[2026-06-04 06:36:03,420][65146] Fps is (10 sec: 6553.7, 60 sec: 7918.9, 300 sec: 7886.5). Total num frames: 3178496. Throughput: 0: 8089.6. Samples: 3194880. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:36:03,421][65146] Avg episode reward: [(0, '266.500')] +[2026-06-04 06:36:05,217][75030] Updated weights for policy 0, policy_version 6272 (0.0014) +[2026-06-04 06:36:08,420][65146] Fps is (10 sec: 6553.5, 60 sec: 7645.9, 300 sec: 7886.5). Total num frames: 3211264. Throughput: 0: 8101.0. Samples: 3217920. Policy #0 lag: (min: 3.0, avg: 5.9, max: 67.0) +[2026-06-04 06:36:08,421][65146] Avg episode reward: [(0, '294.350')] +[2026-06-04 06:36:12,907][75030] Updated weights for policy 0, policy_version 6384 (0.0012) +[2026-06-04 06:36:13,420][65146] Fps is (10 sec: 9830.4, 60 sec: 8192.0, 300 sec: 7997.6). Total num frames: 3276800. Throughput: 0: 8169.3. Samples: 3268608. Policy #0 lag: (min: 14.0, avg: 16.9, max: 78.0) +[2026-06-04 06:36:13,421][65146] Avg episode reward: [(0, '308.600')] +[2026-06-04 06:36:16,475][74443] Signal inference workers to stop experience collection... (300 times) +[2026-06-04 06:36:16,528][75030] InferenceWorker_p0-w0: stopping experience collection (300 times) +[2026-06-04 06:36:16,674][74443] Signal inference workers to resume experience collection... (300 times) +[2026-06-04 06:36:16,675][75030] InferenceWorker_p0-w0: resuming experience collection (300 times) +[2026-06-04 06:36:17,171][75030] Updated weights for policy 0, policy_version 6459 (0.0012) +[2026-06-04 06:36:18,420][65146] Fps is (10 sec: 9830.6, 60 sec: 8192.0, 300 sec: 7997.6). Total num frames: 3309568. Throughput: 0: 8135.1. Samples: 3316224. Policy #0 lag: (min: 14.0, avg: 16.9, max: 78.0) +[2026-06-04 06:36:18,421][65146] Avg episode reward: [(0, '343.700')] +[2026-06-04 06:36:18,427][74443] Saving new best policy, reward=343.700! +[2026-06-04 06:36:23,420][65146] Fps is (10 sec: 6553.4, 60 sec: 8192.0, 300 sec: 7997.6). Total num frames: 3342336. Throughput: 0: 8192.0. Samples: 3343360. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 06:36:23,422][65146] Avg episode reward: [(0, '316.150')] +[2026-06-04 06:36:24,882][75030] Updated weights for policy 0, policy_version 6560 (0.0015) +[2026-06-04 06:36:28,420][65146] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 7886.5). Total num frames: 3375104. Throughput: 0: 8192.0. Samples: 3390976. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 06:36:28,421][65146] Avg episode reward: [(0, '326.850')] +[2026-06-04 06:36:29,252][75030] Updated weights for policy 0, policy_version 6644 (0.0013) +[2026-06-04 06:36:33,420][65146] Fps is (10 sec: 9830.7, 60 sec: 8192.0, 300 sec: 7997.6). Total num frames: 3440640. Throughput: 0: 8101.0. Samples: 3440640. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:36:33,421][65146] Avg episode reward: [(0, '324.350')] +[2026-06-04 06:36:36,600][75030] Updated weights for policy 0, policy_version 6736 (0.0014) +[2026-06-04 06:36:38,420][65146] Fps is (10 sec: 9829.9, 60 sec: 8192.0, 300 sec: 7997.6). Total num frames: 3473408. Throughput: 0: 8169.2. Samples: 3465216. Policy #0 lag: (min: 11.0, avg: 13.8, max: 75.0) +[2026-06-04 06:36:38,422][65146] Avg episode reward: [(0, '330.850')] +[2026-06-04 06:36:41,112][75030] Updated weights for policy 0, policy_version 6834 (0.0015) +[2026-06-04 06:36:43,420][65146] Fps is (10 sec: 6553.5, 60 sec: 8192.0, 300 sec: 7997.6). Total num frames: 3506176. Throughput: 0: 8135.1. Samples: 3512320. Policy #0 lag: (min: 11.0, avg: 13.8, max: 75.0) +[2026-06-04 06:36:43,422][65146] Avg episode reward: [(0, '327.200')] +[2026-06-04 06:36:48,420][65146] Fps is (10 sec: 6553.9, 60 sec: 8055.5, 300 sec: 7997.6). Total num frames: 3538944. Throughput: 0: 8146.5. Samples: 3561472. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:36:48,421][65146] Avg episode reward: [(0, '340.300')] +[2026-06-04 06:36:48,880][75030] Updated weights for policy 0, policy_version 6928 (0.0015) +[2026-06-04 06:36:53,321][75030] Updated weights for policy 0, policy_version 7028 (0.0013) +[2026-06-04 06:36:53,420][65146] Fps is (10 sec: 9011.4, 60 sec: 8055.5, 300 sec: 7997.6). Total num frames: 3596288. Throughput: 0: 8157.9. Samples: 3585024. Policy #0 lag: (min: 5.0, avg: 7.8, max: 69.0) +[2026-06-04 06:36:53,421][65146] Avg episode reward: [(0, '364.200')] +[2026-06-04 06:36:53,475][74443] Saving new best policy, reward=364.200! +[2026-06-04 06:36:57,368][75030] Updated weights for policy 0, policy_version 7104 (0.0014) +[2026-06-04 06:36:58,420][65146] Fps is (10 sec: 9830.3, 60 sec: 8192.0, 300 sec: 7997.6). Total num frames: 3637248. Throughput: 0: 8180.6. Samples: 3636736. Policy #0 lag: (min: 5.0, avg: 7.8, max: 69.0) +[2026-06-04 06:36:58,421][65146] Avg episode reward: [(0, '355.700')] +[2026-06-04 06:37:03,420][65146] Fps is (10 sec: 7372.7, 60 sec: 8192.0, 300 sec: 7997.6). Total num frames: 3670016. Throughput: 0: 8203.4. Samples: 3685376. Policy #0 lag: (min: 9.0, avg: 11.9, max: 73.0) +[2026-06-04 06:37:03,421][65146] Avg episode reward: [(0, '328.100')] +[2026-06-04 06:37:04,932][75030] Updated weights for policy 0, policy_version 7216 (0.0014) +[2026-06-04 06:37:08,420][65146] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 7997.6). Total num frames: 3702784. Throughput: 0: 8157.9. Samples: 3710464. Policy #0 lag: (min: 9.0, avg: 11.9, max: 73.0) +[2026-06-04 06:37:08,421][65146] Avg episode reward: [(0, '311.350')] +[2026-06-04 06:37:09,222][75030] Updated weights for policy 0, policy_version 7286 (0.0017) +[2026-06-04 06:37:13,420][65146] Fps is (10 sec: 9830.4, 60 sec: 8192.0, 300 sec: 8080.9). Total num frames: 3768320. Throughput: 0: 8192.0. Samples: 3759616. Policy #0 lag: (min: 9.0, avg: 12.9, max: 73.0) +[2026-06-04 06:37:13,421][65146] Avg episode reward: [(0, '332.400')] +[2026-06-04 06:37:16,742][75030] Updated weights for policy 0, policy_version 7376 (0.0016) +[2026-06-04 06:37:18,420][65146] Fps is (10 sec: 9830.3, 60 sec: 8192.0, 300 sec: 7997.6). Total num frames: 3801088. Throughput: 0: 8146.5. Samples: 3807232. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-04 06:37:18,421][65146] Avg episode reward: [(0, '332.450')] +[2026-06-04 06:37:20,865][74443] Signal inference workers to stop experience collection... (350 times) +[2026-06-04 06:37:20,896][75030] InferenceWorker_p0-w0: stopping experience collection (350 times) +[2026-06-04 06:37:21,006][74443] Signal inference workers to resume experience collection... (350 times) +[2026-06-04 06:37:21,007][75030] InferenceWorker_p0-w0: resuming experience collection (350 times) +[2026-06-04 06:37:21,009][75030] Updated weights for policy 0, policy_version 7472 (0.0015) +[2026-06-04 06:37:23,420][65146] Fps is (10 sec: 6553.5, 60 sec: 8192.0, 300 sec: 7997.6). Total num frames: 3833856. Throughput: 0: 8192.0. Samples: 3833856. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-04 06:37:23,422][65146] Avg episode reward: [(0, '370.750')] +[2026-06-04 06:37:23,427][74443] Saving new best policy, reward=370.750! +[2026-06-04 06:37:25,399][75030] Updated weights for policy 0, policy_version 7552 (0.0014) +[2026-06-04 06:37:28,420][65146] Fps is (10 sec: 6553.7, 60 sec: 8192.0, 300 sec: 7997.6). Total num frames: 3866624. Throughput: 0: 8203.4. Samples: 3881472. Policy #0 lag: (min: 11.0, avg: 14.8, max: 75.0) +[2026-06-04 06:37:28,421][65146] Avg episode reward: [(0, '350.550')] +[2026-06-04 06:37:32,603][75030] Updated weights for policy 0, policy_version 7664 (0.0015) +[2026-06-04 06:37:33,420][65146] Fps is (10 sec: 9830.6, 60 sec: 8192.0, 300 sec: 8108.7). Total num frames: 3932160. Throughput: 0: 8271.6. Samples: 3933696. Policy #0 lag: (min: 6.0, avg: 8.9, max: 70.0) +[2026-06-04 06:37:33,421][65146] Avg episode reward: [(0, '377.100')] +[2026-06-04 06:37:33,425][74443] Saving new best policy, reward=377.100! +[2026-06-04 06:37:36,706][75030] Updated weights for policy 0, policy_version 7742 (0.0014) +[2026-06-04 06:37:38,420][65146] Fps is (10 sec: 9830.4, 60 sec: 8192.1, 300 sec: 8080.9). Total num frames: 3964928. Throughput: 0: 8317.1. Samples: 3959296. Policy #0 lag: (min: 6.0, avg: 8.9, max: 70.0) +[2026-06-04 06:37:38,421][65146] Avg episode reward: [(0, '347.950')] +[2026-06-04 06:37:43,420][65146] Fps is (10 sec: 6553.5, 60 sec: 8192.0, 300 sec: 7997.6). Total num frames: 3997696. Throughput: 0: 8260.3. Samples: 4008448. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 06:37:43,421][65146] Avg episode reward: [(0, '391.950')] +[2026-06-04 06:37:43,426][74443] Saving new best policy, reward=391.950! +[2026-06-04 06:37:44,114][75030] Updated weights for policy 0, policy_version 7824 (0.0017) +[2026-06-04 06:37:48,420][65146] Fps is (10 sec: 8192.1, 60 sec: 8465.1, 300 sec: 8053.2). Total num frames: 4046848. Throughput: 0: 8317.2. Samples: 4059648. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 06:37:48,421][65146] Avg episode reward: [(0, '396.600')] +[2026-06-04 06:37:48,692][75030] Updated weights for policy 0, policy_version 7926 (0.0025) +[2026-06-04 06:37:48,804][74443] Saving new best policy, reward=396.600! +[2026-06-04 06:37:52,863][75030] Updated weights for policy 0, policy_version 8000 (0.0014) +[2026-06-04 06:37:53,420][65146] Fps is (10 sec: 9830.5, 60 sec: 8328.5, 300 sec: 8108.7). Total num frames: 4096000. Throughput: 0: 8271.6. Samples: 4082688. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 06:37:53,421][65146] Avg episode reward: [(0, '404.100')] +[2026-06-04 06:37:53,425][74443] Saving new best policy, reward=404.100! +[2026-06-04 06:37:58,420][65146] Fps is (10 sec: 8191.8, 60 sec: 8192.0, 300 sec: 8108.7). Total num frames: 4128768. Throughput: 0: 8237.5. Samples: 4130304. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:37:58,422][65146] Avg episode reward: [(0, '415.400')] +[2026-06-04 06:37:58,428][74443] Saving new best policy, reward=415.400! +[2026-06-04 06:38:00,275][75030] Updated weights for policy 0, policy_version 8096 (0.0015) +[2026-06-04 06:38:03,420][65146] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 7997.6). Total num frames: 4161536. Throughput: 0: 8283.0. Samples: 4179968. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:38:03,421][65146] Avg episode reward: [(0, '391.550')] +[2026-06-04 06:38:04,968][75030] Updated weights for policy 0, policy_version 8189 (0.0016) +[2026-06-04 06:38:08,420][65146] Fps is (10 sec: 7372.7, 60 sec: 8328.5, 300 sec: 8025.4). Total num frames: 4202496. Throughput: 0: 8203.4. Samples: 4203008. Policy #0 lag: (min: 1.0, avg: 3.7, max: 65.0) +[2026-06-04 06:38:08,422][65146] Avg episode reward: [(0, '451.750')] +[2026-06-04 06:38:08,629][74443] Saving new best policy, reward=451.750! +[2026-06-04 06:38:12,519][75030] Updated weights for policy 0, policy_version 8288 (0.0018) +[2026-06-04 06:38:13,420][65146] Fps is (10 sec: 9830.3, 60 sec: 8192.0, 300 sec: 8108.7). Total num frames: 4259840. Throughput: 0: 8294.4. Samples: 4254720. Policy #0 lag: (min: 14.0, avg: 17.2, max: 78.0) +[2026-06-04 06:38:13,421][65146] Avg episode reward: [(0, '431.250')] +[2026-06-04 06:38:16,405][75030] Updated weights for policy 0, policy_version 8370 (0.0013) +[2026-06-04 06:38:18,420][65146] Fps is (10 sec: 9011.4, 60 sec: 8192.0, 300 sec: 8108.7). Total num frames: 4292608. Throughput: 0: 8248.9. Samples: 4304896. Policy #0 lag: (min: 14.0, avg: 17.2, max: 78.0) +[2026-06-04 06:38:18,421][65146] Avg episode reward: [(0, '466.350')] +[2026-06-04 06:38:18,425][74443] Saving new best policy, reward=466.350! +[2026-06-04 06:38:20,644][75030] Updated weights for policy 0, policy_version 8448 (0.0017) +[2026-06-04 06:38:23,420][65146] Fps is (10 sec: 6553.6, 60 sec: 8192.0, 300 sec: 8053.1). Total num frames: 4325376. Throughput: 0: 8203.4. Samples: 4328448. Policy #0 lag: (min: 11.0, avg: 14.0, max: 75.0) +[2026-06-04 06:38:23,422][65146] Avg episode reward: [(0, '473.300')] +[2026-06-04 06:38:23,426][74443] Saving new best policy, reward=473.300! +[2026-06-04 06:38:27,652][74443] Signal inference workers to stop experience collection... (400 times) +[2026-06-04 06:38:27,686][75030] InferenceWorker_p0-w0: stopping experience collection (400 times) +[2026-06-04 06:38:27,692][75030] Updated weights for policy 0, policy_version 8529 (0.0017) +[2026-06-04 06:38:27,781][74443] Signal inference workers to resume experience collection... (400 times) +[2026-06-04 06:38:27,781][75030] InferenceWorker_p0-w0: resuming experience collection (400 times) +[2026-06-04 06:38:28,420][65146] Fps is (10 sec: 9830.5, 60 sec: 8738.2, 300 sec: 8108.7). Total num frames: 4390912. Throughput: 0: 8351.3. Samples: 4384256. Policy #0 lag: (min: 3.0, avg: 6.5, max: 67.0) +[2026-06-04 06:38:28,421][65146] Avg episode reward: [(0, '487.200')] +[2026-06-04 06:38:28,426][74443] Saving new best policy, reward=487.200! +[2026-06-04 06:38:31,762][75030] Updated weights for policy 0, policy_version 8624 (0.0015) +[2026-06-04 06:38:33,420][65146] Fps is (10 sec: 9830.2, 60 sec: 8192.0, 300 sec: 8108.7). Total num frames: 4423680. Throughput: 0: 8328.5. Samples: 4434432. Policy #0 lag: (min: 3.0, avg: 6.5, max: 67.0) +[2026-06-04 06:38:33,423][65146] Avg episode reward: [(0, '455.850')] +[2026-06-04 06:38:35,666][75030] Updated weights for policy 0, policy_version 8697 (0.0018) +[2026-06-04 06:38:38,420][65146] Fps is (10 sec: 6553.5, 60 sec: 8192.0, 300 sec: 8108.7). Total num frames: 4456448. Throughput: 0: 8362.7. Samples: 4459008. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 06:38:38,421][65146] Avg episode reward: [(0, '475.650')] +[2026-06-04 06:38:39,591][75030] Updated weights for policy 0, policy_version 8763 (0.0019) +[2026-06-04 06:38:43,420][65146] Fps is (10 sec: 9011.4, 60 sec: 8601.6, 300 sec: 8192.0). Total num frames: 4513792. Throughput: 0: 8487.8. Samples: 4512256. Policy #0 lag: (min: 11.0, avg: 16.4, max: 75.0) +[2026-06-04 06:38:43,421][65146] Avg episode reward: [(0, '403.400')] +[2026-06-04 06:38:46,925][75030] Updated weights for policy 0, policy_version 8864 (0.0015) +[2026-06-04 06:38:48,420][65146] Fps is (10 sec: 9830.4, 60 sec: 8465.0, 300 sec: 8108.7). Total num frames: 4554752. Throughput: 0: 8465.1. Samples: 4560896. Policy #0 lag: (min: 11.0, avg: 16.4, max: 75.0) +[2026-06-04 06:38:48,421][65146] Avg episode reward: [(0, '432.300')] +[2026-06-04 06:38:51,185][75030] Updated weights for policy 0, policy_version 8945 (0.0014) +[2026-06-04 06:38:53,420][65146] Fps is (10 sec: 7372.9, 60 sec: 8192.0, 300 sec: 8108.7). Total num frames: 4587520. Throughput: 0: 8533.4. Samples: 4587008. Policy #0 lag: (min: 11.0, avg: 13.8, max: 75.0) +[2026-06-04 06:38:53,421][65146] Avg episode reward: [(0, '425.900')] +[2026-06-04 06:38:55,273][75030] Updated weights for policy 0, policy_version 9019 (0.0013) +[2026-06-04 06:38:58,420][65146] Fps is (10 sec: 7373.0, 60 sec: 8328.6, 300 sec: 8136.5). Total num frames: 4628480. Throughput: 0: 8476.5. Samples: 4636160. Policy #0 lag: (min: 5.0, avg: 8.8, max: 69.0) +[2026-06-04 06:38:58,424][65146] Avg episode reward: [(0, '416.600')] +[2026-06-04 06:38:59,072][75030] Updated weights for policy 0, policy_version 9088 (0.0016) +[2026-06-04 06:39:03,420][65146] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8219.8). Total num frames: 4685824. Throughput: 0: 8499.2. Samples: 4687360. Policy #0 lag: (min: 5.0, avg: 8.8, max: 69.0) +[2026-06-04 06:39:03,421][65146] Avg episode reward: [(0, '472.650')] +[2026-06-04 06:39:06,326][75030] Updated weights for policy 0, policy_version 9200 (0.0015) +[2026-06-04 06:39:08,421][65146] Fps is (10 sec: 9010.1, 60 sec: 8601.5, 300 sec: 8136.4). Total num frames: 4718592. Throughput: 0: 8624.2. Samples: 4716544. Policy #0 lag: (min: 11.0, avg: 13.8, max: 75.0) +[2026-06-04 06:39:08,424][65146] Avg episode reward: [(0, '489.550')] +[2026-06-04 06:39:08,427][74443] Saving new best policy, reward=489.550! +[2026-06-04 06:39:10,549][75030] Updated weights for policy 0, policy_version 9272 (0.0014) +[2026-06-04 06:39:13,420][65146] Fps is (10 sec: 6553.4, 60 sec: 8192.0, 300 sec: 8108.7). Total num frames: 4751360. Throughput: 0: 8396.7. Samples: 4762112. Policy #0 lag: (min: 11.0, avg: 13.8, max: 75.0) +[2026-06-04 06:39:13,421][65146] Avg episode reward: [(0, '602.350')] +[2026-06-04 06:39:13,429][74443] Saving new best policy, reward=602.350! +[2026-06-04 06:39:14,409][75030] Updated weights for policy 0, policy_version 9344 (0.0018) +[2026-06-04 06:39:18,420][65146] Fps is (10 sec: 9831.2, 60 sec: 8738.1, 300 sec: 8219.8). Total num frames: 4816896. Throughput: 0: 8510.6. Samples: 4817408. Policy #0 lag: (min: 2.0, avg: 5.8, max: 66.0) +[2026-06-04 06:39:18,422][65146] Avg episode reward: [(0, '589.700')] +[2026-06-04 06:39:21,854][75030] Updated weights for policy 0, policy_version 9456 (0.0012) +[2026-06-04 06:39:23,420][65146] Fps is (10 sec: 9830.7, 60 sec: 8738.1, 300 sec: 8219.8). Total num frames: 4849664. Throughput: 0: 8510.6. Samples: 4841984. Policy #0 lag: (min: 13.0, avg: 16.5, max: 77.0) +[2026-06-04 06:39:23,421][65146] Avg episode reward: [(0, '607.200')] +[2026-06-04 06:39:23,425][74443] Saving new best policy, reward=607.200! +[2026-06-04 06:39:25,946][75030] Updated weights for policy 0, policy_version 9534 (0.0013) +[2026-06-04 06:39:28,420][65146] Fps is (10 sec: 6553.5, 60 sec: 8192.0, 300 sec: 8219.8). Total num frames: 4882432. Throughput: 0: 8430.9. Samples: 4891648. Policy #0 lag: (min: 13.0, avg: 16.5, max: 77.0) +[2026-06-04 06:39:28,422][65146] Avg episode reward: [(0, '638.700')] +[2026-06-04 06:39:28,427][74443] Saving new best policy, reward=638.700! +[2026-06-04 06:39:29,681][75030] Updated weights for policy 0, policy_version 9600 (0.0012) +[2026-06-04 06:39:32,636][74443] Signal inference workers to stop experience collection... (450 times) +[2026-06-04 06:39:32,666][75030] InferenceWorker_p0-w0: stopping experience collection (450 times) +[2026-06-04 06:39:32,819][74443] Signal inference workers to resume experience collection... (450 times) +[2026-06-04 06:39:32,820][75030] InferenceWorker_p0-w0: resuming experience collection (450 times) +[2026-06-04 06:39:33,422][65146] Fps is (10 sec: 9011.2, 60 sec: 8601.7, 300 sec: 8303.1). Total num frames: 4939776. Throughput: 0: 8590.2. Samples: 4947456. Policy #0 lag: (min: 43.0, avg: 45.8, max: 107.0) +[2026-06-04 06:39:33,427][65146] Avg episode reward: [(0, '647.350')] +[2026-06-04 06:39:33,461][74443] Saving new best policy, reward=647.350! +[2026-06-04 06:39:36,965][75030] Updated weights for policy 0, policy_version 9712 (0.0014) +[2026-06-04 06:39:38,420][65146] Fps is (10 sec: 9830.5, 60 sec: 8738.1, 300 sec: 8219.8). Total num frames: 4980736. Throughput: 0: 8567.4. Samples: 4972544. Policy #0 lag: (min: 58.0, avg: 61.5, max: 122.0) +[2026-06-04 06:39:38,421][65146] Avg episode reward: [(0, '662.450')] +[2026-06-04 06:39:38,424][74443] Saving new best policy, reward=662.450! +[2026-06-04 06:39:41,037][75030] Updated weights for policy 0, policy_version 9778 (0.0011) +[2026-06-04 06:39:43,420][65146] Fps is (10 sec: 7372.6, 60 sec: 8328.5, 300 sec: 8219.8). Total num frames: 5013504. Throughput: 0: 8567.4. Samples: 5021696. Policy #0 lag: (min: 58.0, avg: 61.5, max: 122.0) +[2026-06-04 06:39:43,421][65146] Avg episode reward: [(0, '725.300')] +[2026-06-04 06:39:43,426][74443] Saving new best policy, reward=725.300! +[2026-06-04 06:39:44,743][75030] Updated weights for policy 0, policy_version 9845 (0.0014) +[2026-06-04 06:39:48,363][75030] Updated weights for policy 0, policy_version 9915 (0.0014) +[2026-06-04 06:39:48,420][65146] Fps is (10 sec: 9011.2, 60 sec: 8601.6, 300 sec: 8303.1). Total num frames: 5070848. Throughput: 0: 8669.8. Samples: 5077504. Policy #0 lag: (min: 3.0, avg: 7.0, max: 67.0) +[2026-06-04 06:39:48,422][65146] Avg episode reward: [(0, '697.900')] +[2026-06-04 06:39:52,138][75030] Updated weights for policy 0, policy_version 9984 (0.0014) +[2026-06-04 06:39:53,420][65146] Fps is (10 sec: 9830.3, 60 sec: 8738.1, 300 sec: 8330.8). Total num frames: 5111808. Throughput: 0: 8601.7. Samples: 5103616. Policy #0 lag: (min: 3.0, avg: 7.0, max: 67.0) +[2026-06-04 06:39:53,422][65146] Avg episode reward: [(0, '673.550')] +[2026-06-04 06:39:58,420][65146] Fps is (10 sec: 7372.8, 60 sec: 8601.5, 300 sec: 8275.3). Total num frames: 5144576. Throughput: 0: 8817.8. Samples: 5158912. Policy #0 lag: (min: 3.0, avg: 7.0, max: 67.0) +[2026-06-04 06:39:58,421][65146] Avg episode reward: [(0, '653.250')] +[2026-06-04 06:39:58,927][75030] Updated weights for policy 0, policy_version 10080 (0.0015) +[2026-06-04 06:40:02,867][75030] Updated weights for policy 0, policy_version 10171 (0.0015) +[2026-06-04 06:40:03,420][65146] Fps is (10 sec: 9830.4, 60 sec: 8738.1, 300 sec: 8330.8). Total num frames: 5210112. Throughput: 0: 8749.5. Samples: 5211136. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 06:40:03,422][65146] Avg episode reward: [(0, '689.500')] +[2026-06-04 06:40:06,708][75030] Updated weights for policy 0, policy_version 10237 (0.0012) +[2026-06-04 06:40:08,420][65146] Fps is (10 sec: 9830.3, 60 sec: 8738.2, 300 sec: 8330.8). Total num frames: 5242880. Throughput: 0: 8817.7. Samples: 5238784. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 06:40:08,422][65146] Avg episode reward: [(0, '694.900')] +[2026-06-04 06:40:13,421][65146] Fps is (10 sec: 7372.4, 60 sec: 8874.6, 300 sec: 8358.6). Total num frames: 5283840. Throughput: 0: 8931.4. Samples: 5293568. Policy #0 lag: (min: 8.0, avg: 12.0, max: 72.0) +[2026-06-04 06:40:13,424][65146] Avg episode reward: [(0, '779.200')] +[2026-06-04 06:40:13,463][75030] Updated weights for policy 0, policy_version 10336 (0.0015) +[2026-06-04 06:40:13,657][74443] Saving new best policy, reward=779.200! +[2026-06-04 06:40:17,517][75030] Updated weights for policy 0, policy_version 10426 (0.0012) +[2026-06-04 06:40:18,420][65146] Fps is (10 sec: 9830.7, 60 sec: 8738.2, 300 sec: 8441.9). Total num frames: 5341184. Throughput: 0: 8829.2. Samples: 5344768. Policy #0 lag: (min: 8.0, avg: 12.0, max: 72.0) +[2026-06-04 06:40:18,421][65146] Avg episode reward: [(0, '785.600')] +[2026-06-04 06:40:18,426][74443] Saving new best policy, reward=785.600! +[2026-06-04 06:40:23,420][65146] Fps is (10 sec: 9011.8, 60 sec: 8738.1, 300 sec: 8441.9). Total num frames: 5373952. Throughput: 0: 8931.5. Samples: 5374464. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:40:23,421][65146] Avg episode reward: [(0, '807.650')] +[2026-06-04 06:40:23,425][74443] Saving new best policy, reward=807.650! +[2026-06-04 06:40:24,230][75030] Updated weights for policy 0, policy_version 10512 (0.0016) +[2026-06-04 06:40:28,067][75030] Updated weights for policy 0, policy_version 10592 (0.0012) +[2026-06-04 06:40:28,420][65146] Fps is (10 sec: 9010.7, 60 sec: 9147.7, 300 sec: 8414.1). Total num frames: 5431296. Throughput: 0: 9045.3. Samples: 5428736. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:40:28,424][65146] Avg episode reward: [(0, '788.950')] +[2026-06-04 06:40:31,618][74443] Signal inference workers to stop experience collection... (500 times) +[2026-06-04 06:40:31,646][75030] InferenceWorker_p0-w0: stopping experience collection (500 times) +[2026-06-04 06:40:31,773][74443] Signal inference workers to resume experience collection... (500 times) +[2026-06-04 06:40:31,774][75030] InferenceWorker_p0-w0: resuming experience collection (500 times) +[2026-06-04 06:40:31,911][75030] Updated weights for policy 0, policy_version 10680 (0.0016) +[2026-06-04 06:40:33,420][65146] Fps is (10 sec: 9830.2, 60 sec: 8874.6, 300 sec: 8441.9). Total num frames: 5472256. Throughput: 0: 8988.4. Samples: 5481984. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 06:40:33,422][65146] Avg episode reward: [(0, '765.050')] +[2026-06-04 06:40:35,762][75030] Updated weights for policy 0, policy_version 10749 (0.0012) +[2026-06-04 06:40:38,420][65146] Fps is (10 sec: 7372.9, 60 sec: 8738.1, 300 sec: 8441.9). Total num frames: 5505024. Throughput: 0: 8954.3. Samples: 5506560. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 06:40:38,422][65146] Avg episode reward: [(0, '795.200')] +[2026-06-04 06:40:42,355][75030] Updated weights for policy 0, policy_version 10832 (0.0021) +[2026-06-04 06:40:43,423][65146] Fps is (10 sec: 9828.0, 60 sec: 9283.9, 300 sec: 8525.2). Total num frames: 5570560. Throughput: 0: 9022.0. Samples: 5564928. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 06:40:43,426][65146] Avg episode reward: [(0, '782.000')] +[2026-06-04 06:40:46,321][75030] Updated weights for policy 0, policy_version 10928 (0.0016) +[2026-06-04 06:40:48,420][65146] Fps is (10 sec: 9830.8, 60 sec: 8874.7, 300 sec: 8441.9). Total num frames: 5603328. Throughput: 0: 9045.4. Samples: 5618176. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 06:40:48,421][65146] Avg episode reward: [(0, '787.350')] +[2026-06-04 06:40:49,791][75030] Updated weights for policy 0, policy_version 10992 (0.0016) +[2026-06-04 06:40:53,421][65146] Fps is (10 sec: 9013.3, 60 sec: 9147.7, 300 sec: 8525.2). Total num frames: 5660672. Throughput: 0: 9056.7. Samples: 5646336. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 06:40:53,423][65146] Avg episode reward: [(0, '838.950')] +[2026-06-04 06:40:53,429][75030] Updated weights for policy 0, policy_version 11059 (0.0013) +[2026-06-04 06:40:53,571][74443] Saving new best policy, reward=838.950! +[2026-06-04 06:40:57,216][75030] Updated weights for policy 0, policy_version 11130 (0.0013) +[2026-06-04 06:40:58,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9284.3, 300 sec: 8553.0). Total num frames: 5701632. Throughput: 0: 9056.9. Samples: 5701120. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 06:40:58,421][65146] Avg episode reward: [(0, '878.800')] +[2026-06-04 06:40:58,425][74443] Saving new best policy, reward=878.800! +[2026-06-04 06:41:00,976][75030] Updated weights for policy 0, policy_version 11200 (0.0015) +[2026-06-04 06:41:03,420][65146] Fps is (10 sec: 7373.0, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 5734400. Throughput: 0: 9068.0. Samples: 5752832. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 06:41:03,422][65146] Avg episode reward: [(0, '989.500')] +[2026-06-04 06:41:03,430][74443] Saving new best policy, reward=989.500! +[2026-06-04 06:41:08,067][75030] Updated weights for policy 0, policy_version 11296 (0.0013) +[2026-06-04 06:41:08,420][65146] Fps is (10 sec: 9011.0, 60 sec: 9147.7, 300 sec: 8525.2). Total num frames: 5791744. Throughput: 0: 8977.0. Samples: 5778432. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 06:41:08,422][65146] Avg episode reward: [(0, '1087.950')] +[2026-06-04 06:41:08,455][74443] Saving new best policy, reward=1087.950! +[2026-06-04 06:41:11,932][75030] Updated weights for policy 0, policy_version 11381 (0.0018) +[2026-06-04 06:41:13,421][65146] Fps is (10 sec: 9830.4, 60 sec: 9147.8, 300 sec: 8553.0). Total num frames: 5832704. Throughput: 0: 8988.5. Samples: 5833216. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 06:41:13,425][65146] Avg episode reward: [(0, '1121.000')] +[2026-06-04 06:41:13,433][74443] Saving new best policy, reward=1121.000! +[2026-06-04 06:41:15,669][75030] Updated weights for policy 0, policy_version 11449 (0.0014) +[2026-06-04 06:41:18,420][65146] Fps is (10 sec: 7372.9, 60 sec: 8738.1, 300 sec: 8553.0). Total num frames: 5865472. Throughput: 0: 9045.4. Samples: 5889024. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 06:41:18,422][65146] Avg episode reward: [(0, '1118.850')] +[2026-06-04 06:41:22,196][75030] Updated weights for policy 0, policy_version 11536 (0.0015) +[2026-06-04 06:41:23,420][65146] Fps is (10 sec: 9830.7, 60 sec: 9284.3, 300 sec: 8664.1). Total num frames: 5931008. Throughput: 0: 9090.9. Samples: 5915648. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 06:41:23,421][65146] Avg episode reward: [(0, '1114.700')] +[2026-06-04 06:41:25,961][75030] Updated weights for policy 0, policy_version 11616 (0.0013) +[2026-06-04 06:41:28,420][65146] Fps is (10 sec: 9830.7, 60 sec: 8874.7, 300 sec: 8553.0). Total num frames: 5963776. Throughput: 0: 9000.4. Samples: 5969920. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 06:41:28,421][65146] Avg episode reward: [(0, '1119.350')] +[2026-06-04 06:41:29,814][75030] Updated weights for policy 0, policy_version 11696 (0.0015) +[2026-06-04 06:41:32,968][74443] Signal inference workers to stop experience collection... (550 times) +[2026-06-04 06:41:32,999][75030] InferenceWorker_p0-w0: stopping experience collection (550 times) +[2026-06-04 06:41:33,151][74443] Signal inference workers to resume experience collection... (550 times) +[2026-06-04 06:41:33,151][75030] InferenceWorker_p0-w0: resuming experience collection (550 times) +[2026-06-04 06:41:33,401][75030] Updated weights for policy 0, policy_version 11763 (0.0017) +[2026-06-04 06:41:33,420][65146] Fps is (10 sec: 9011.2, 60 sec: 9147.8, 300 sec: 8636.3). Total num frames: 6021120. Throughput: 0: 9090.8. Samples: 6027264. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 06:41:33,421][65146] Avg episode reward: [(0, '1130.100')] +[2026-06-04 06:41:33,605][74443] Saving new best policy, reward=1130.100! +[2026-06-04 06:41:37,000][75030] Updated weights for policy 0, policy_version 11832 (0.0012) +[2026-06-04 06:41:38,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8664.1). Total num frames: 6062080. Throughput: 0: 9034.1. Samples: 6052864. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 06:41:38,421][65146] Avg episode reward: [(0, '1135.450')] +[2026-06-04 06:41:38,426][74443] Saving new best policy, reward=1135.450! +[2026-06-04 06:41:40,545][75030] Updated weights for policy 0, policy_version 11901 (0.0011) +[2026-06-04 06:41:43,420][65146] Fps is (10 sec: 7372.7, 60 sec: 8738.5, 300 sec: 8664.1). Total num frames: 6094848. Throughput: 0: 9056.7. Samples: 6108672. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 06:41:43,421][65146] Avg episode reward: [(0, '1172.500')] +[2026-06-04 06:41:43,723][74443] Saving new best policy, reward=1172.500! +[2026-06-04 06:41:47,203][75030] Updated weights for policy 0, policy_version 11984 (0.0013) +[2026-06-04 06:41:48,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8691.9). Total num frames: 6160384. Throughput: 0: 9113.7. Samples: 6162944. Policy #0 lag: (min: 7.0, avg: 10.5, max: 71.0) +[2026-06-04 06:41:48,421][65146] Avg episode reward: [(0, '1302.400')] +[2026-06-04 06:41:48,426][74443] Saving new best policy, reward=1302.400! +[2026-06-04 06:41:50,933][75030] Updated weights for policy 0, policy_version 12082 (0.0017) +[2026-06-04 06:41:53,420][65146] Fps is (10 sec: 9830.5, 60 sec: 8874.7, 300 sec: 8664.1). Total num frames: 6193152. Throughput: 0: 9227.5. Samples: 6193664. Policy #0 lag: (min: 7.0, avg: 10.5, max: 71.0) +[2026-06-04 06:41:53,421][65146] Avg episode reward: [(0, '1308.550')] +[2026-06-04 06:41:53,426][74443] Saving new best policy, reward=1308.550! +[2026-06-04 06:41:54,782][75030] Updated weights for policy 0, policy_version 12159 (0.0016) +[2026-06-04 06:41:58,420][65146] Fps is (10 sec: 9010.9, 60 sec: 9147.7, 300 sec: 8747.4). Total num frames: 6250496. Throughput: 0: 9204.6. Samples: 6247424. Policy #0 lag: (min: 12.0, avg: 15.0, max: 76.0) +[2026-06-04 06:41:58,423][65146] Avg episode reward: [(0, '1402.350')] +[2026-06-04 06:41:58,570][74443] Saving new best policy, reward=1402.350! +[2026-06-04 06:42:01,508][75030] Updated weights for policy 0, policy_version 12240 (0.0011) +[2026-06-04 06:42:03,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8775.2). Total num frames: 6291456. Throughput: 0: 9147.8. Samples: 6300672. Policy #0 lag: (min: 12.0, avg: 15.0, max: 76.0) +[2026-06-04 06:42:03,421][65146] Avg episode reward: [(0, '1443.550')] +[2026-06-04 06:42:03,426][74443] Saving new best policy, reward=1443.550! +[2026-06-04 06:42:05,096][75030] Updated weights for policy 0, policy_version 12320 (0.0012) +[2026-06-04 06:42:08,420][65146] Fps is (10 sec: 7373.0, 60 sec: 8874.7, 300 sec: 8664.1). Total num frames: 6324224. Throughput: 0: 9181.9. Samples: 6328832. Policy #0 lag: (min: 12.0, avg: 15.0, max: 76.0) +[2026-06-04 06:42:08,421][65146] Avg episode reward: [(0, '1618.600')] +[2026-06-04 06:42:08,743][74443] Saving new best policy, reward=1618.600! +[2026-06-04 06:42:08,990][75030] Updated weights for policy 0, policy_version 12401 (0.0015) +[2026-06-04 06:42:12,299][75030] Updated weights for policy 0, policy_version 12464 (0.0012) +[2026-06-04 06:42:13,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8775.2). Total num frames: 6389760. Throughput: 0: 9272.9. Samples: 6387200. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 06:42:13,421][65146] Avg episode reward: [(0, '1608.900')] +[2026-06-04 06:42:15,934][75030] Updated weights for policy 0, policy_version 12537 (0.0014) +[2026-06-04 06:42:18,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9284.3, 300 sec: 8775.2). Total num frames: 6422528. Throughput: 0: 9238.7. Samples: 6443008. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 06:42:18,421][65146] Avg episode reward: [(0, '1606.750')] +[2026-06-04 06:42:19,525][75030] Updated weights for policy 0, policy_version 12608 (0.0017) +[2026-06-04 06:42:23,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8886.2). Total num frames: 6488064. Throughput: 0: 9272.9. Samples: 6470144. Policy #0 lag: (min: 7.0, avg: 11.0, max: 71.0) +[2026-06-04 06:42:23,421][65146] Avg episode reward: [(0, '1646.900')] +[2026-06-04 06:42:23,425][74443] Saving new best policy, reward=1646.900! +[2026-06-04 06:42:25,931][75030] Updated weights for policy 0, policy_version 12689 (0.0015) +[2026-06-04 06:42:28,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 8775.2). Total num frames: 6520832. Throughput: 0: 9272.9. Samples: 6525952. Policy #0 lag: (min: 7.0, avg: 11.0, max: 71.0) +[2026-06-04 06:42:28,421][65146] Avg episode reward: [(0, '1666.150')] +[2026-06-04 06:42:28,428][74443] Saving new best policy, reward=1666.150! +[2026-06-04 06:42:29,803][75030] Updated weights for policy 0, policy_version 12769 (0.0011) +[2026-06-04 06:42:32,973][74443] Signal inference workers to stop experience collection... (600 times) +[2026-06-04 06:42:33,003][75030] InferenceWorker_p0-w0: stopping experience collection (600 times) +[2026-06-04 06:42:33,118][74443] Signal inference workers to resume experience collection... (600 times) +[2026-06-04 06:42:33,119][75030] InferenceWorker_p0-w0: resuming experience collection (600 times) +[2026-06-04 06:42:33,420][65146] Fps is (10 sec: 8192.2, 60 sec: 9147.7, 300 sec: 8830.7). Total num frames: 6569984. Throughput: 0: 9307.0. Samples: 6581760. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 06:42:33,421][65146] Avg episode reward: [(0, '1700.800')] +[2026-06-04 06:42:33,632][75030] Updated weights for policy 0, policy_version 12861 (0.0010) +[2026-06-04 06:42:33,662][74443] Saving new best policy, reward=1700.800! +[2026-06-04 06:42:38,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9284.2, 300 sec: 8886.2). Total num frames: 6619136. Throughput: 0: 9227.4. Samples: 6608896. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 06:42:38,421][65146] Avg episode reward: [(0, '1722.750')] +[2026-06-04 06:42:38,426][74443] Saving new best policy, reward=1722.750! +[2026-06-04 06:42:39,858][75030] Updated weights for policy 0, policy_version 12929 (0.0012) +[2026-06-04 06:42:43,420][65146] Fps is (10 sec: 8191.9, 60 sec: 9284.3, 300 sec: 8830.7). Total num frames: 6651904. Throughput: 0: 9318.5. Samples: 6666752. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:42:43,421][65146] Avg episode reward: [(0, '1720.650')] +[2026-06-04 06:42:43,767][75030] Updated weights for policy 0, policy_version 13043 (0.0012) +[2026-06-04 06:42:47,097][75030] Updated weights for policy 0, policy_version 13113 (0.0012) +[2026-06-04 06:42:48,420][65146] Fps is (10 sec: 9830.6, 60 sec: 9284.3, 300 sec: 8886.2). Total num frames: 6717440. Throughput: 0: 9432.2. Samples: 6725120. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:42:48,421][65146] Avg episode reward: [(0, '1789.150')] +[2026-06-04 06:42:48,424][74443] Saving new best policy, reward=1789.150! +[2026-06-04 06:42:53,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8886.2). Total num frames: 6750208. Throughput: 0: 9443.5. Samples: 6753792. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 06:42:53,421][65146] Avg episode reward: [(0, '1830.400')] +[2026-06-04 06:42:53,548][75030] Updated weights for policy 0, policy_version 13200 (0.0011) +[2026-06-04 06:42:53,673][74443] Saving new best policy, reward=1830.400! +[2026-06-04 06:42:57,397][75030] Updated weights for policy 0, policy_version 13297 (0.0014) +[2026-06-04 06:42:58,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9420.8, 300 sec: 8997.3). Total num frames: 6815744. Throughput: 0: 9443.6. Samples: 6812160. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 06:42:58,421][65146] Avg episode reward: [(0, '1867.250')] +[2026-06-04 06:42:58,423][74443] Saving new best policy, reward=1867.250! +[2026-06-04 06:43:01,361][75030] Updated weights for policy 0, policy_version 13376 (0.0016) +[2026-06-04 06:43:03,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8969.6). Total num frames: 6848512. Throughput: 0: 9375.3. Samples: 6864896. Policy #0 lag: (min: 1.0, avg: 3.9, max: 65.0) +[2026-06-04 06:43:03,421][65146] Avg episode reward: [(0, '1891.750')] +[2026-06-04 06:43:03,426][74443] Saving new best policy, reward=1891.750! +[2026-06-04 06:43:07,587][75030] Updated weights for policy 0, policy_version 13441 (0.0012) +[2026-06-04 06:43:08,420][65146] Fps is (10 sec: 9830.1, 60 sec: 9830.4, 300 sec: 8997.3). Total num frames: 6914048. Throughput: 0: 9398.0. Samples: 6893056. Policy #0 lag: (min: 1.0, avg: 3.9, max: 65.0) +[2026-06-04 06:43:08,422][65146] Avg episode reward: [(0, '1861.500')] +[2026-06-04 06:43:11,313][75030] Updated weights for policy 0, policy_version 13552 (0.0013) +[2026-06-04 06:43:13,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 8997.3). Total num frames: 6946816. Throughput: 0: 9443.6. Samples: 6950912. Policy #0 lag: (min: 0.0, avg: 4.0, max: 64.0) +[2026-06-04 06:43:13,421][65146] Avg episode reward: [(0, '1888.800')] +[2026-06-04 06:43:14,835][75030] Updated weights for policy 0, policy_version 13616 (0.0013) +[2026-06-04 06:43:18,311][75030] Updated weights for policy 0, policy_version 13680 (0.0014) +[2026-06-04 06:43:18,420][65146] Fps is (10 sec: 9011.4, 60 sec: 9693.9, 300 sec: 9080.6). Total num frames: 7004160. Throughput: 0: 9511.8. Samples: 7009792. Policy #0 lag: (min: 0.0, avg: 4.0, max: 64.0) +[2026-06-04 06:43:18,421][65146] Avg episode reward: [(0, '1938.100')] +[2026-06-04 06:43:18,571][74443] Saving new best policy, reward=1938.100! +[2026-06-04 06:43:22,038][75030] Updated weights for policy 0, policy_version 13750 (0.0017) +[2026-06-04 06:43:23,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9284.3, 300 sec: 8997.3). Total num frames: 7045120. Throughput: 0: 9489.1. Samples: 7035904. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 06:43:23,421][65146] Avg episode reward: [(0, '1855.450')] +[2026-06-04 06:43:23,424][74443] Saving results/checkpoints_factor_sweeps/demon_attack/context_window/demon_attack_frame_stack_fixed_l4_fs4_seed11/checkpoint_p0/checkpoint_000013760_7045120.pth... +[2026-06-04 06:43:25,618][75030] Updated weights for policy 0, policy_version 13811 (0.0012) +[2026-06-04 06:43:28,420][65146] Fps is (10 sec: 7372.8, 60 sec: 9284.3, 300 sec: 8997.3). Total num frames: 7077888. Throughput: 0: 9398.0. Samples: 7089664. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 06:43:28,421][65146] Avg episode reward: [(0, '1813.100')] +[2026-06-04 06:43:28,893][74443] Signal inference workers to stop experience collection... (650 times) +[2026-06-04 06:43:28,925][75030] InferenceWorker_p0-w0: stopping experience collection (650 times) +[2026-06-04 06:43:29,078][74443] Signal inference workers to resume experience collection... (650 times) +[2026-06-04 06:43:29,079][75030] InferenceWorker_p0-w0: resuming experience collection (650 times) +[2026-06-04 06:43:29,265][75030] Updated weights for policy 0, policy_version 13883 (0.0011) +[2026-06-04 06:43:32,820][75030] Updated weights for policy 0, policy_version 13952 (0.0011) +[2026-06-04 06:43:33,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9557.3, 300 sec: 9108.4). Total num frames: 7143424. Throughput: 0: 9352.5. Samples: 7145984. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 06:43:33,422][65146] Avg episode reward: [(0, '1878.350')] +[2026-06-04 06:43:38,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 9025.1). Total num frames: 7176192. Throughput: 0: 9375.3. Samples: 7175680. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 06:43:38,421][65146] Avg episode reward: [(0, '2020.650')] +[2026-06-04 06:43:38,426][74443] Saving new best policy, reward=2020.650! +[2026-06-04 06:43:39,476][75030] Updated weights for policy 0, policy_version 14048 (0.0012) +[2026-06-04 06:43:43,119][75030] Updated weights for policy 0, policy_version 14128 (0.0015) +[2026-06-04 06:43:43,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9108.4). Total num frames: 7241728. Throughput: 0: 9295.6. Samples: 7230464. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 06:43:43,421][65146] Avg episode reward: [(0, '2043.650')] +[2026-06-04 06:43:43,425][74443] Saving new best policy, reward=2043.650! +[2026-06-04 06:43:46,783][75030] Updated weights for policy 0, policy_version 14197 (0.0015) +[2026-06-04 06:43:48,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9284.2, 300 sec: 9108.4). Total num frames: 7274496. Throughput: 0: 9341.1. Samples: 7285248. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 06:43:48,422][65146] Avg episode reward: [(0, '2120.600')] +[2026-06-04 06:43:48,426][74443] Saving new best policy, reward=2120.600! +[2026-06-04 06:43:50,232][75030] Updated weights for policy 0, policy_version 14263 (0.0013) +[2026-06-04 06:43:53,420][65146] Fps is (10 sec: 7372.7, 60 sec: 9420.8, 300 sec: 9108.4). Total num frames: 7315456. Throughput: 0: 9352.5. Samples: 7313920. Policy #0 lag: (min: 0.0, avg: 3.9, max: 64.0) +[2026-06-04 06:43:53,422][65146] Avg episode reward: [(0, '2183.050')] +[2026-06-04 06:43:53,674][74443] Saving new best policy, reward=2183.050! +[2026-06-04 06:43:53,984][75030] Updated weights for policy 0, policy_version 14335 (0.0011) +[2026-06-04 06:43:58,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9284.2, 300 sec: 9108.4). Total num frames: 7372800. Throughput: 0: 9295.6. Samples: 7369216. Policy #0 lag: (min: 0.0, avg: 3.9, max: 64.0) +[2026-06-04 06:43:58,422][65146] Avg episode reward: [(0, '2224.150')] +[2026-06-04 06:43:58,426][74443] Saving new best policy, reward=2224.150! +[2026-06-04 06:44:00,518][75030] Updated weights for policy 0, policy_version 14402 (0.0013) +[2026-06-04 06:44:03,420][65146] Fps is (10 sec: 9011.4, 60 sec: 9284.3, 300 sec: 9108.4). Total num frames: 7405568. Throughput: 0: 9227.4. Samples: 7425024. Policy #0 lag: (min: 0.0, avg: 3.9, max: 64.0) +[2026-06-04 06:44:03,421][65146] Avg episode reward: [(0, '2349.500')] +[2026-06-04 06:44:03,425][74443] Saving new best policy, reward=2349.500! +[2026-06-04 06:44:04,254][75030] Updated weights for policy 0, policy_version 14496 (0.0012) +[2026-06-04 06:44:07,786][75030] Updated weights for policy 0, policy_version 14561 (0.0012) +[2026-06-04 06:44:08,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9219.5). Total num frames: 7471104. Throughput: 0: 9250.1. Samples: 7452160. Policy #0 lag: (min: 11.0, avg: 15.4, max: 75.0) +[2026-06-04 06:44:08,422][65146] Avg episode reward: [(0, '2371.200')] +[2026-06-04 06:44:08,426][74443] Saving new best policy, reward=2371.200! +[2026-06-04 06:44:11,523][75030] Updated weights for policy 0, policy_version 14642 (0.0012) +[2026-06-04 06:44:13,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9284.2, 300 sec: 9108.4). Total num frames: 7503872. Throughput: 0: 9295.6. Samples: 7507968. Policy #0 lag: (min: 11.0, avg: 15.4, max: 75.0) +[2026-06-04 06:44:13,421][65146] Avg episode reward: [(0, '2496.150')] +[2026-06-04 06:44:13,426][74443] Saving new best policy, reward=2496.150! +[2026-06-04 06:44:15,032][75030] Updated weights for policy 0, policy_version 14714 (0.0017) +[2026-06-04 06:44:18,420][65146] Fps is (10 sec: 9011.2, 60 sec: 9284.2, 300 sec: 9191.7). Total num frames: 7561216. Throughput: 0: 9341.1. Samples: 7566336. Policy #0 lag: (min: 47.0, avg: 52.0, max: 111.0) +[2026-06-04 06:44:18,422][65146] Avg episode reward: [(0, '2560.450')] +[2026-06-04 06:44:18,596][74443] Saving new best policy, reward=2560.450! +[2026-06-04 06:44:18,645][75030] Updated weights for policy 0, policy_version 14784 (0.0014) +[2026-06-04 06:44:23,420][65146] Fps is (10 sec: 9830.1, 60 sec: 9284.2, 300 sec: 9219.5). Total num frames: 7602176. Throughput: 0: 9295.6. Samples: 7593984. Policy #0 lag: (min: 47.0, avg: 52.0, max: 111.0) +[2026-06-04 06:44:23,422][65146] Avg episode reward: [(0, '2553.150')] +[2026-06-04 06:44:25,251][75030] Updated weights for policy 0, policy_version 14896 (0.0015) +[2026-06-04 06:44:28,367][74443] Signal inference workers to stop experience collection... (700 times) +[2026-06-04 06:44:28,398][75030] InferenceWorker_p0-w0: stopping experience collection (700 times) +[2026-06-04 06:44:28,420][65146] Fps is (10 sec: 8192.2, 60 sec: 9420.8, 300 sec: 9163.9). Total num frames: 7643136. Throughput: 0: 9318.4. Samples: 7649792. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:44:28,421][65146] Avg episode reward: [(0, '2611.700')] +[2026-06-04 06:44:28,517][74443] Signal inference workers to resume experience collection... (700 times) +[2026-06-04 06:44:28,518][75030] InferenceWorker_p0-w0: resuming experience collection (700 times) +[2026-06-04 06:44:28,686][74443] Saving new best policy, reward=2611.700! +[2026-06-04 06:44:28,968][75030] Updated weights for policy 0, policy_version 14974 (0.0013) +[2026-06-04 06:44:33,420][65146] Fps is (10 sec: 9830.6, 60 sec: 9284.2, 300 sec: 9219.5). Total num frames: 7700480. Throughput: 0: 9363.9. Samples: 7706624. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:44:33,421][65146] Avg episode reward: [(0, '2685.100')] +[2026-06-04 06:44:33,427][74443] Saving new best policy, reward=2685.100! +[2026-06-04 06:44:35,174][75030] Updated weights for policy 0, policy_version 15056 (0.0018) +[2026-06-04 06:44:38,420][65146] Fps is (10 sec: 9011.3, 60 sec: 9284.3, 300 sec: 9219.5). Total num frames: 7733248. Throughput: 0: 9386.7. Samples: 7736320. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:44:38,421][65146] Avg episode reward: [(0, '2724.850')] +[2026-06-04 06:44:38,426][74443] Saving new best policy, reward=2724.850! +[2026-06-04 06:44:38,942][75030] Updated weights for policy 0, policy_version 15152 (0.0020) +[2026-06-04 06:44:42,336][75030] Updated weights for policy 0, policy_version 15222 (0.0015) +[2026-06-04 06:44:43,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 9247.2). Total num frames: 7798784. Throughput: 0: 9511.9. Samples: 7797248. Policy #0 lag: (min: 2.0, avg: 4.9, max: 66.0) +[2026-06-04 06:44:43,421][65146] Avg episode reward: [(0, '2768.200')] +[2026-06-04 06:44:43,427][74443] Saving new best policy, reward=2768.200! +[2026-06-04 06:44:45,903][75030] Updated weights for policy 0, policy_version 15289 (0.0013) +[2026-06-04 06:44:48,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 9219.5). Total num frames: 7831552. Throughput: 0: 9534.6. Samples: 7854080. Policy #0 lag: (min: 2.0, avg: 4.9, max: 66.0) +[2026-06-04 06:44:48,421][65146] Avg episode reward: [(0, '2754.150')] +[2026-06-04 06:44:49,246][75030] Updated weights for policy 0, policy_version 15356 (0.0014) +[2026-06-04 06:44:52,605][75030] Updated weights for policy 0, policy_version 15424 (0.0016) +[2026-06-04 06:44:53,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9693.9, 300 sec: 9330.6). Total num frames: 7897088. Throughput: 0: 9591.5. Samples: 7883776. Policy #0 lag: (min: 2.0, avg: 4.9, max: 66.0) +[2026-06-04 06:44:53,421][65146] Avg episode reward: [(0, '2755.600')] +[2026-06-04 06:44:58,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9284.3, 300 sec: 9219.5). Total num frames: 7929856. Throughput: 0: 9614.2. Samples: 7940608. Policy #0 lag: (min: 9.0, avg: 13.2, max: 73.0) +[2026-06-04 06:44:58,421][65146] Avg episode reward: [(0, '2709.500')] +[2026-06-04 06:44:58,925][75030] Updated weights for policy 0, policy_version 15520 (0.0012) +[2026-06-04 06:45:02,836][75030] Updated weights for policy 0, policy_version 15603 (0.0012) +[2026-06-04 06:45:03,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9330.6). Total num frames: 7995392. Throughput: 0: 9557.4. Samples: 7996416. Policy #0 lag: (min: 9.0, avg: 13.2, max: 73.0) +[2026-06-04 06:45:03,421][65146] Avg episode reward: [(0, '2610.800')] +[2026-06-04 06:45:06,470][75030] Updated weights for policy 0, policy_version 15674 (0.0017) +[2026-06-04 06:45:08,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9284.3, 300 sec: 9302.8). Total num frames: 8028160. Throughput: 0: 9602.9. Samples: 8026112. Policy #0 lag: (min: 9.0, avg: 13.2, max: 73.0) +[2026-06-04 06:45:08,422][65146] Avg episode reward: [(0, '2593.550')] +[2026-06-04 06:45:10,088][75030] Updated weights for policy 0, policy_version 15744 (0.0013) +[2026-06-04 06:45:13,420][65146] Fps is (10 sec: 9011.3, 60 sec: 9693.9, 300 sec: 9302.8). Total num frames: 8085504. Throughput: 0: 9602.9. Samples: 8081920. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:45:13,421][65146] Avg episode reward: [(0, '2631.650')] +[2026-06-04 06:45:16,819][75030] Updated weights for policy 0, policy_version 15856 (0.0014) +[2026-06-04 06:45:18,420][65146] Fps is (10 sec: 9830.6, 60 sec: 9420.9, 300 sec: 9330.6). Total num frames: 8126464. Throughput: 0: 9523.2. Samples: 8135168. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:45:18,421][65146] Avg episode reward: [(0, '2659.000')] +[2026-06-04 06:45:20,671][75030] Updated weights for policy 0, policy_version 15925 (0.0013) +[2026-06-04 06:45:23,420][65146] Fps is (10 sec: 8192.1, 60 sec: 9420.9, 300 sec: 9275.0). Total num frames: 8167424. Throughput: 0: 9455.0. Samples: 8161792. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0) +[2026-06-04 06:45:23,420][65146] Avg episode reward: [(0, '2718.200')] +[2026-06-04 06:45:23,880][75030] Updated weights for policy 0, policy_version 15996 (0.0012) +[2026-06-04 06:45:26,858][74443] Signal inference workers to stop experience collection... (750 times) +[2026-06-04 06:45:26,885][75030] InferenceWorker_p0-w0: stopping experience collection (750 times) +[2026-06-04 06:45:27,085][74443] Signal inference workers to resume experience collection... (750 times) +[2026-06-04 06:45:27,087][75030] InferenceWorker_p0-w0: resuming experience collection (750 times) +[2026-06-04 06:45:28,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9693.9, 300 sec: 9330.6). Total num frames: 8224768. Throughput: 0: 9443.6. Samples: 8222208. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0) +[2026-06-04 06:45:28,421][65146] Avg episode reward: [(0, '2813.700')] +[2026-06-04 06:45:28,427][74443] Saving new best policy, reward=2813.700! +[2026-06-04 06:45:30,816][75030] Updated weights for policy 0, policy_version 16080 (0.0012) +[2026-06-04 06:45:33,420][65146] Fps is (10 sec: 9010.9, 60 sec: 9284.3, 300 sec: 9330.6). Total num frames: 8257536. Throughput: 0: 9352.5. Samples: 8274944. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0) +[2026-06-04 06:45:33,422][65146] Avg episode reward: [(0, '2865.400')] +[2026-06-04 06:45:33,427][74443] Saving new best policy, reward=2865.400! +[2026-06-04 06:45:34,622][75030] Updated weights for policy 0, policy_version 16160 (0.0013) +[2026-06-04 06:45:38,278][75030] Updated weights for policy 0, policy_version 16224 (0.0011) +[2026-06-04 06:45:38,420][65146] Fps is (10 sec: 8192.0, 60 sec: 9557.3, 300 sec: 9275.1). Total num frames: 8306688. Throughput: 0: 9250.1. Samples: 8300032. Policy #0 lag: (min: 60.0, avg: 63.1, max: 124.0) +[2026-06-04 06:45:38,421][65146] Avg episode reward: [(0, '2959.500')] +[2026-06-04 06:45:38,699][74443] Saving new best policy, reward=2959.500! +[2026-06-04 06:45:41,949][75030] Updated weights for policy 0, policy_version 16289 (0.0012) +[2026-06-04 06:45:43,421][65146] Fps is (10 sec: 9830.0, 60 sec: 9284.2, 300 sec: 9330.5). Total num frames: 8355840. Throughput: 0: 9215.9. Samples: 8355328. Policy #0 lag: (min: 60.0, avg: 63.1, max: 124.0) +[2026-06-04 06:45:43,422][65146] Avg episode reward: [(0, '2871.450')] +[2026-06-04 06:45:45,652][75030] Updated weights for policy 0, policy_version 16370 (0.0015) +[2026-06-04 06:45:48,420][65146] Fps is (10 sec: 8191.9, 60 sec: 9284.2, 300 sec: 9247.3). Total num frames: 8388608. Throughput: 0: 9227.4. Samples: 8411648. Policy #0 lag: (min: 60.0, avg: 63.1, max: 124.0) +[2026-06-04 06:45:48,421][65146] Avg episode reward: [(0, '2830.550')] +[2026-06-04 06:45:49,246][75030] Updated weights for policy 0, policy_version 16445 (0.0015) +[2026-06-04 06:45:52,719][75030] Updated weights for policy 0, policy_version 16512 (0.0018) +[2026-06-04 06:45:53,420][65146] Fps is (10 sec: 9831.0, 60 sec: 9284.3, 300 sec: 9330.6). Total num frames: 8454144. Throughput: 0: 9181.9. Samples: 8439296. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 06:45:53,421][65146] Avg episode reward: [(0, '2845.550')] +[2026-06-04 06:45:58,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9284.2, 300 sec: 9330.6). Total num frames: 8486912. Throughput: 0: 9216.0. Samples: 8496640. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 06:45:58,421][65146] Avg episode reward: [(0, '2821.100')] +[2026-06-04 06:45:59,095][75030] Updated weights for policy 0, policy_version 16592 (0.0016) +[2026-06-04 06:46:03,045][75030] Updated weights for policy 0, policy_version 16688 (0.0016) +[2026-06-04 06:46:03,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9358.3). Total num frames: 8552448. Throughput: 0: 9272.9. Samples: 8552448. Policy #0 lag: (min: 9.0, avg: 11.9, max: 73.0) +[2026-06-04 06:46:03,421][65146] Avg episode reward: [(0, '2655.250')] +[2026-06-04 06:46:06,574][75030] Updated weights for policy 0, policy_version 16761 (0.0017) +[2026-06-04 06:46:08,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 9330.6). Total num frames: 8585216. Throughput: 0: 9318.4. Samples: 8581120. Policy #0 lag: (min: 9.0, avg: 11.9, max: 73.0) +[2026-06-04 06:46:08,421][65146] Avg episode reward: [(0, '2737.950')] +[2026-06-04 06:46:10,076][75030] Updated weights for policy 0, policy_version 16832 (0.0017) +[2026-06-04 06:46:13,420][65146] Fps is (10 sec: 9011.1, 60 sec: 9284.3, 300 sec: 9413.9). Total num frames: 8642560. Throughput: 0: 9250.1. Samples: 8638464. Policy #0 lag: (min: 9.0, avg: 11.9, max: 73.0) +[2026-06-04 06:46:13,422][65146] Avg episode reward: [(0, '2796.800')] +[2026-06-04 06:46:16,643][75030] Updated weights for policy 0, policy_version 16912 (0.0016) +[2026-06-04 06:46:18,421][65146] Fps is (10 sec: 9829.9, 60 sec: 9284.2, 300 sec: 9330.5). Total num frames: 8683520. Throughput: 0: 9272.8. Samples: 8692224. Policy #0 lag: (min: 7.0, avg: 10.1, max: 71.0) +[2026-06-04 06:46:18,422][65146] Avg episode reward: [(0, '2806.800')] +[2026-06-04 06:46:20,467][75030] Updated weights for policy 0, policy_version 17009 (0.0014) +[2026-06-04 06:46:23,420][65146] Fps is (10 sec: 8192.1, 60 sec: 9284.2, 300 sec: 9358.3). Total num frames: 8724480. Throughput: 0: 9341.2. Samples: 8720384. Policy #0 lag: (min: 7.0, avg: 10.1, max: 71.0) +[2026-06-04 06:46:23,421][65146] Avg episode reward: [(0, '2779.050')] +[2026-06-04 06:46:23,542][74443] Signal inference workers to stop experience collection... (800 times) +[2026-06-04 06:46:23,573][75030] InferenceWorker_p0-w0: stopping experience collection (800 times) +[2026-06-04 06:46:23,666][74443] Signal inference workers to resume experience collection... (800 times) +[2026-06-04 06:46:23,667][75030] InferenceWorker_p0-w0: resuming experience collection (800 times) +[2026-06-04 06:46:23,784][75030] Updated weights for policy 0, policy_version 17078 (0.0014) +[2026-06-04 06:46:27,219][75030] Updated weights for policy 0, policy_version 17142 (0.0013) +[2026-06-04 06:46:28,420][65146] Fps is (10 sec: 9831.0, 60 sec: 9284.3, 300 sec: 9358.3). Total num frames: 8781824. Throughput: 0: 9432.3. Samples: 8779776. Policy #0 lag: (min: 7.0, avg: 10.1, max: 71.0) +[2026-06-04 06:46:28,421][65146] Avg episode reward: [(0, '2870.900')] +[2026-06-04 06:46:30,718][75030] Updated weights for policy 0, policy_version 17212 (0.0013) +[2026-06-04 06:46:33,420][65146] Fps is (10 sec: 9011.0, 60 sec: 9284.3, 300 sec: 9330.5). Total num frames: 8814592. Throughput: 0: 9477.7. Samples: 8838144. Policy #0 lag: (min: 13.0, avg: 16.8, max: 77.0) +[2026-06-04 06:46:33,422][65146] Avg episode reward: [(0, '3011.250')] +[2026-06-04 06:46:33,427][74443] Saving new best policy, reward=3011.250! +[2026-06-04 06:46:34,179][75030] Updated weights for policy 0, policy_version 17280 (0.0012) +[2026-06-04 06:46:38,420][65146] Fps is (10 sec: 9830.1, 60 sec: 9557.3, 300 sec: 9441.6). Total num frames: 8880128. Throughput: 0: 9511.8. Samples: 8867328. Policy #0 lag: (min: 13.0, avg: 16.8, max: 77.0) +[2026-06-04 06:46:38,421][65146] Avg episode reward: [(0, '3025.850')] +[2026-06-04 06:46:38,426][74443] Saving new best policy, reward=3025.850! +[2026-06-04 06:46:40,487][75030] Updated weights for policy 0, policy_version 17376 (0.0012) +[2026-06-04 06:46:43,420][65146] Fps is (10 sec: 9830.6, 60 sec: 9284.4, 300 sec: 9330.5). Total num frames: 8912896. Throughput: 0: 9500.5. Samples: 8924160. Policy #0 lag: (min: 13.0, avg: 16.8, max: 77.0) +[2026-06-04 06:46:43,422][65146] Avg episode reward: [(0, '2943.100')] +[2026-06-04 06:46:44,151][75030] Updated weights for policy 0, policy_version 17441 (0.0013) +[2026-06-04 06:46:47,959][75030] Updated weights for policy 0, policy_version 17520 (0.0016) +[2026-06-04 06:46:48,420][65146] Fps is (10 sec: 9830.7, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 8978432. Throughput: 0: 9477.7. Samples: 8978944. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:46:48,421][65146] Avg episode reward: [(0, '3101.750')] +[2026-06-04 06:46:48,425][74443] Saving new best policy, reward=3101.750! +[2026-06-04 06:46:51,497][75030] Updated weights for policy 0, policy_version 17591 (0.0019) +[2026-06-04 06:46:53,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9358.3). Total num frames: 9011200. Throughput: 0: 9454.9. Samples: 9006592. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:46:53,421][65146] Avg episode reward: [(0, '3088.500')] +[2026-06-04 06:46:54,830][75030] Updated weights for policy 0, policy_version 17658 (0.0015) +[2026-06-04 06:46:58,158][75030] Updated weights for policy 0, policy_version 17723 (0.0013) +[2026-06-04 06:46:58,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 9076736. Throughput: 0: 9534.6. Samples: 9067520. Policy #0 lag: (min: 6.0, avg: 9.7, max: 70.0) +[2026-06-04 06:46:58,421][65146] Avg episode reward: [(0, '3056.600')] +[2026-06-04 06:47:03,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9441.6). Total num frames: 9109504. Throughput: 0: 9625.7. Samples: 9125376. Policy #0 lag: (min: 6.0, avg: 9.7, max: 70.0) +[2026-06-04 06:47:03,421][65146] Avg episode reward: [(0, '3289.700')] +[2026-06-04 06:47:03,427][74443] Saving new best policy, reward=3289.700! +[2026-06-04 06:47:04,451][75030] Updated weights for policy 0, policy_version 17808 (0.0012) +[2026-06-04 06:47:08,165][75030] Updated weights for policy 0, policy_version 17904 (0.0014) +[2026-06-04 06:47:08,420][65146] Fps is (10 sec: 9011.1, 60 sec: 9693.9, 300 sec: 9413.9). Total num frames: 9166848. Throughput: 0: 9591.5. Samples: 9152000. Policy #0 lag: (min: 6.0, avg: 9.7, max: 70.0) +[2026-06-04 06:47:08,421][65146] Avg episode reward: [(0, '3337.500')] +[2026-06-04 06:47:08,453][74443] Saving new best policy, reward=3337.500! +[2026-06-04 06:47:11,622][75030] Updated weights for policy 0, policy_version 17968 (0.0014) +[2026-06-04 06:47:13,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9420.8, 300 sec: 9441.6). Total num frames: 9207808. Throughput: 0: 9557.3. Samples: 9209856. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 06:47:13,421][65146] Avg episode reward: [(0, '3329.950')] +[2026-06-04 06:47:15,350][75030] Updated weights for policy 0, policy_version 18034 (0.0012) +[2026-06-04 06:47:18,420][65146] Fps is (10 sec: 8191.8, 60 sec: 9420.9, 300 sec: 9358.3). Total num frames: 9248768. Throughput: 0: 9489.1. Samples: 9265152. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 06:47:18,422][65146] Avg episode reward: [(0, '3397.650')] +[2026-06-04 06:47:18,698][74443] Saving new best policy, reward=3397.650! +[2026-06-04 06:47:18,842][75030] Updated weights for policy 0, policy_version 18101 (0.0011) +[2026-06-04 06:47:21,917][74443] Signal inference workers to stop experience collection... (850 times) +[2026-06-04 06:47:21,948][75030] InferenceWorker_p0-w0: stopping experience collection (850 times) +[2026-06-04 06:47:22,083][74443] Signal inference workers to resume experience collection... (850 times) +[2026-06-04 06:47:22,084][75030] InferenceWorker_p0-w0: resuming experience collection (850 times) +[2026-06-04 06:47:22,407][75030] Updated weights for policy 0, policy_version 18167 (0.0012) +[2026-06-04 06:47:23,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9693.8, 300 sec: 9441.6). Total num frames: 9306112. Throughput: 0: 9466.3. Samples: 9293312. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 06:47:23,422][65146] Avg episode reward: [(0, '3343.800')] +[2026-06-04 06:47:28,420][65146] Fps is (10 sec: 9011.3, 60 sec: 9284.2, 300 sec: 9386.1). Total num frames: 9338880. Throughput: 0: 9466.3. Samples: 9350144. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 06:47:28,422][65146] Avg episode reward: [(0, '3413.150')] +[2026-06-04 06:47:28,425][74443] Saving new best policy, reward=3413.150! +[2026-06-04 06:47:29,012][75030] Updated weights for policy 0, policy_version 18256 (0.0016) +[2026-06-04 06:47:32,639][75030] Updated weights for policy 0, policy_version 18337 (0.0012) +[2026-06-04 06:47:33,420][65146] Fps is (10 sec: 9830.7, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 9404416. Throughput: 0: 9477.7. Samples: 9405440. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 06:47:33,421][65146] Avg episode reward: [(0, '3336.050')] +[2026-06-04 06:47:36,089][75030] Updated weights for policy 0, policy_version 18416 (0.0015) +[2026-06-04 06:47:38,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 9441.6). Total num frames: 9437184. Throughput: 0: 9546.0. Samples: 9436160. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 06:47:38,421][65146] Avg episode reward: [(0, '3331.800')] +[2026-06-04 06:47:39,734][75030] Updated weights for policy 0, policy_version 18485 (0.0017) +[2026-06-04 06:47:43,420][65146] Fps is (10 sec: 9011.3, 60 sec: 9693.9, 300 sec: 9413.9). Total num frames: 9494528. Throughput: 0: 9432.2. Samples: 9491968. Policy #0 lag: (min: 14.0, avg: 17.1, max: 78.0) +[2026-06-04 06:47:43,421][65146] Avg episode reward: [(0, '3252.450')] +[2026-06-04 06:47:43,491][75030] Updated weights for policy 0, policy_version 18560 (0.0016) +[2026-06-04 06:47:46,929][75030] Updated weights for policy 0, policy_version 18624 (0.0012) +[2026-06-04 06:47:48,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9284.2, 300 sec: 9441.6). Total num frames: 9535488. Throughput: 0: 9375.3. Samples: 9547264. Policy #0 lag: (min: 14.0, avg: 17.1, max: 78.0) +[2026-06-04 06:47:48,422][65146] Avg episode reward: [(0, '3325.200')] +[2026-06-04 06:47:53,420][65146] Fps is (10 sec: 7372.6, 60 sec: 9284.3, 300 sec: 9330.5). Total num frames: 9568256. Throughput: 0: 9352.5. Samples: 9572864. Policy #0 lag: (min: 14.0, avg: 17.1, max: 78.0) +[2026-06-04 06:47:53,421][65146] Avg episode reward: [(0, '3484.800')] +[2026-06-04 06:47:53,718][74443] Saving new best policy, reward=3484.800! +[2026-06-04 06:47:53,876][75030] Updated weights for policy 0, policy_version 18736 (0.0015) +[2026-06-04 06:47:57,403][75030] Updated weights for policy 0, policy_version 18812 (0.0016) +[2026-06-04 06:47:58,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9284.2, 300 sec: 9441.6). Total num frames: 9633792. Throughput: 0: 9398.1. Samples: 9632768. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:47:58,423][65146] Avg episode reward: [(0, '3503.400')] +[2026-06-04 06:47:58,429][74443] Saving new best policy, reward=3503.400! +[2026-06-04 06:48:03,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9284.2, 300 sec: 9330.6). Total num frames: 9666560. Throughput: 0: 9432.2. Samples: 9689600. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:48:03,421][65146] Avg episode reward: [(0, '3575.800')] +[2026-06-04 06:48:03,554][75030] Updated weights for policy 0, policy_version 18896 (0.0020) +[2026-06-04 06:48:03,697][74443] Saving new best policy, reward=3575.800! +[2026-06-04 06:48:07,370][75030] Updated weights for policy 0, policy_version 18995 (0.0017) +[2026-06-04 06:48:08,421][65146] Fps is (10 sec: 9830.1, 60 sec: 9420.7, 300 sec: 9441.6). Total num frames: 9732096. Throughput: 0: 9420.8. Samples: 9717248. Policy #0 lag: (min: 14.0, avg: 18.3, max: 78.0) +[2026-06-04 06:48:08,423][65146] Avg episode reward: [(0, '3563.850')] +[2026-06-04 06:48:11,002][75030] Updated weights for policy 0, policy_version 19068 (0.0013) +[2026-06-04 06:48:13,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 9358.3). Total num frames: 9764864. Throughput: 0: 9420.8. Samples: 9774080. Policy #0 lag: (min: 14.0, avg: 18.3, max: 78.0) +[2026-06-04 06:48:13,421][65146] Avg episode reward: [(0, '3418.800')] +[2026-06-04 06:48:17,659][75030] Updated weights for policy 0, policy_version 19168 (0.0014) +[2026-06-04 06:48:18,421][65146] Fps is (10 sec: 9830.4, 60 sec: 9693.8, 300 sec: 9441.6). Total num frames: 9830400. Throughput: 0: 9466.2. Samples: 9831424. Policy #0 lag: (min: 14.0, avg: 18.3, max: 78.0) +[2026-06-04 06:48:18,422][65146] Avg episode reward: [(0, '3654.050')] +[2026-06-04 06:48:18,427][74443] Saving new best policy, reward=3654.050! +[2026-06-04 06:48:20,874][74443] Signal inference workers to stop experience collection... (900 times) +[2026-06-04 06:48:20,904][75030] InferenceWorker_p0-w0: stopping experience collection (900 times) +[2026-06-04 06:48:21,073][74443] Signal inference workers to resume experience collection... (900 times) +[2026-06-04 06:48:21,074][75030] InferenceWorker_p0-w0: resuming experience collection (900 times) +[2026-06-04 06:48:21,473][75030] Updated weights for policy 0, policy_version 19249 (0.0016) +[2026-06-04 06:48:23,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9284.3, 300 sec: 9441.6). Total num frames: 9863168. Throughput: 0: 9432.2. Samples: 9860608. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:48:23,421][65146] Avg episode reward: [(0, '3755.250')] +[2026-06-04 06:48:23,425][74443] Saving new best policy, reward=3755.250! +[2026-06-04 06:48:24,996][75030] Updated weights for policy 0, policy_version 19318 (0.0013) +[2026-06-04 06:48:28,420][65146] Fps is (10 sec: 9011.7, 60 sec: 9693.9, 300 sec: 9413.9). Total num frames: 9920512. Throughput: 0: 9420.8. Samples: 9915904. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:48:28,421][65146] Avg episode reward: [(0, '3716.400')] +[2026-06-04 06:48:28,438][75030] Updated weights for policy 0, policy_version 19387 (0.0015) +[2026-06-04 06:48:33,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9284.2, 300 sec: 9441.6). Total num frames: 9961472. Throughput: 0: 9454.9. Samples: 9972736. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:48:33,422][65146] Avg episode reward: [(0, '3806.000')] +[2026-06-04 06:48:33,427][74443] Saving new best policy, reward=3806.000! +[2026-06-04 06:48:34,842][75030] Updated weights for policy 0, policy_version 19472 (0.0015) +[2026-06-04 06:48:38,420][65146] Fps is (10 sec: 8191.9, 60 sec: 9420.8, 300 sec: 9358.3). Total num frames: 10002432. Throughput: 0: 9477.7. Samples: 9999360. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 06:48:38,421][65146] Avg episode reward: [(0, '3697.050')] +[2026-06-04 06:48:38,751][75030] Updated weights for policy 0, policy_version 19576 (0.0013) +[2026-06-04 06:48:42,452][75030] Updated weights for policy 0, policy_version 19647 (0.0012) +[2026-06-04 06:48:43,420][65146] Fps is (10 sec: 9830.6, 60 sec: 9420.8, 300 sec: 9441.6). Total num frames: 10059776. Throughput: 0: 9466.4. Samples: 10058752. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 06:48:43,421][65146] Avg episode reward: [(0, '3707.450')] +[2026-06-04 06:48:46,086][75030] Updated weights for policy 0, policy_version 19707 (0.0014) +[2026-06-04 06:48:48,420][65146] Fps is (10 sec: 9011.3, 60 sec: 9284.3, 300 sec: 9413.9). Total num frames: 10092544. Throughput: 0: 9409.5. Samples: 10113024. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 06:48:48,421][65146] Avg episode reward: [(0, '3961.450')] +[2026-06-04 06:48:48,425][74443] Saving new best policy, reward=3961.450! +[2026-06-04 06:48:49,556][75030] Updated weights for policy 0, policy_version 19774 (0.0017) +[2026-06-04 06:48:53,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 10158080. Throughput: 0: 9409.5. Samples: 10140672. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 06:48:53,421][65146] Avg episode reward: [(0, '3847.600')] +[2026-06-04 06:48:56,081][75030] Updated weights for policy 0, policy_version 19873 (0.0016) +[2026-06-04 06:48:58,420][65146] Fps is (10 sec: 9830.1, 60 sec: 9284.3, 300 sec: 9441.6). Total num frames: 10190848. Throughput: 0: 9363.9. Samples: 10195456. Policy #0 lag: (min: 15.0, avg: 20.1, max: 79.0) +[2026-06-04 06:48:58,422][65146] Avg episode reward: [(0, '3765.450')] +[2026-06-04 06:48:59,744][75030] Updated weights for policy 0, policy_version 19955 (0.0017) +[2026-06-04 06:49:03,420][65146] Fps is (10 sec: 9011.1, 60 sec: 9693.9, 300 sec: 9413.9). Total num frames: 10248192. Throughput: 0: 9409.5. Samples: 10254848. Policy #0 lag: (min: 7.0, avg: 10.5, max: 71.0) +[2026-06-04 06:49:03,422][65146] Avg episode reward: [(0, '3880.500')] +[2026-06-04 06:49:03,469][75030] Updated weights for policy 0, policy_version 20029 (0.0016) +[2026-06-04 06:49:08,420][65146] Fps is (10 sec: 9830.8, 60 sec: 9284.4, 300 sec: 9441.6). Total num frames: 10289152. Throughput: 0: 9386.7. Samples: 10283008. Policy #0 lag: (min: 7.0, avg: 10.5, max: 71.0) +[2026-06-04 06:49:08,421][65146] Avg episode reward: [(0, '3870.400')] +[2026-06-04 06:49:10,058][75030] Updated weights for policy 0, policy_version 20112 (0.0015) +[2026-06-04 06:49:13,420][65146] Fps is (10 sec: 7372.6, 60 sec: 9284.2, 300 sec: 9358.3). Total num frames: 10321920. Throughput: 0: 9341.1. Samples: 10336256. Policy #0 lag: (min: 7.0, avg: 10.5, max: 71.0) +[2026-06-04 06:49:13,422][65146] Avg episode reward: [(0, '3795.450')] +[2026-06-04 06:49:13,682][75030] Updated weights for policy 0, policy_version 20193 (0.0014) +[2026-06-04 06:49:16,998][74443] Signal inference workers to stop experience collection... (950 times) +[2026-06-04 06:49:17,031][75030] InferenceWorker_p0-w0: stopping experience collection (950 times) +[2026-06-04 06:49:17,154][74443] Signal inference workers to resume experience collection... (950 times) +[2026-06-04 06:49:17,156][75030] InferenceWorker_p0-w0: resuming experience collection (950 times) +[2026-06-04 06:49:17,195][75030] Updated weights for policy 0, policy_version 20273 (0.0014) +[2026-06-04 06:49:18,420][65146] Fps is (10 sec: 9830.1, 60 sec: 9284.3, 300 sec: 9441.6). Total num frames: 10387456. Throughput: 0: 9363.9. Samples: 10394112. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 06:49:18,422][65146] Avg episode reward: [(0, '3787.550')] +[2026-06-04 06:49:20,513][75030] Updated weights for policy 0, policy_version 20344 (0.0015) +[2026-06-04 06:49:23,420][65146] Fps is (10 sec: 9830.7, 60 sec: 9284.3, 300 sec: 9413.9). Total num frames: 10420224. Throughput: 0: 9420.8. Samples: 10423296. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 06:49:23,422][65146] Avg episode reward: [(0, '3683.750')] +[2026-06-04 06:49:24,040][75030] Updated weights for policy 0, policy_version 20413 (0.0017) +[2026-06-04 06:49:28,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9420.8, 300 sec: 9441.6). Total num frames: 10485760. Throughput: 0: 9500.4. Samples: 10486272. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 06:49:28,421][65146] Avg episode reward: [(0, '3606.450')] +[2026-06-04 06:49:30,013][75030] Updated weights for policy 0, policy_version 20496 (0.0014) +[2026-06-04 06:49:33,424][65146] Fps is (10 sec: 10645.8, 60 sec: 9420.2, 300 sec: 9469.3). Total num frames: 10526720. Throughput: 0: 9567.9. Samples: 10543616. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 06:49:33,426][65146] Avg episode reward: [(0, '3505.250')] +[2026-06-04 06:49:33,792][75030] Updated weights for policy 0, policy_version 20595 (0.0015) +[2026-06-04 06:49:37,089][75030] Updated weights for policy 0, policy_version 20661 (0.0010) +[2026-06-04 06:49:38,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9693.9, 300 sec: 9441.6). Total num frames: 10584064. Throughput: 0: 9602.8. Samples: 10572800. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 06:49:38,421][65146] Avg episode reward: [(0, '3520.200')] +[2026-06-04 06:49:40,342][75030] Updated weights for policy 0, policy_version 20723 (0.0015) +[2026-06-04 06:49:43,420][65146] Fps is (10 sec: 9833.9, 60 sec: 9420.8, 300 sec: 9469.4). Total num frames: 10625024. Throughput: 0: 9716.6. Samples: 10632704. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 06:49:43,422][65146] Avg episode reward: [(0, '3503.250')] +[2026-06-04 06:49:43,735][75030] Updated weights for policy 0, policy_version 20792 (0.0013) +[2026-06-04 06:49:47,189][75030] Updated weights for policy 0, policy_version 20863 (0.0012) +[2026-06-04 06:49:48,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 10682368. Throughput: 0: 9671.1. Samples: 10690048. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-04 06:49:48,421][65146] Avg episode reward: [(0, '3445.000')] +[2026-06-04 06:49:50,584][75030] Updated weights for policy 0, policy_version 20928 (0.0015) +[2026-06-04 06:49:53,420][65146] Fps is (10 sec: 10649.5, 60 sec: 9557.3, 300 sec: 9497.2). Total num frames: 10731520. Throughput: 0: 9705.2. Samples: 10719744. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:49:53,423][65146] Avg episode reward: [(0, '3509.400')] +[2026-06-04 06:49:53,701][75030] Updated weights for policy 0, policy_version 20992 (0.0016) +[2026-06-04 06:49:58,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9441.6). Total num frames: 10780672. Throughput: 0: 9898.7. Samples: 10781696. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:49:58,421][65146] Avg episode reward: [(0, '3547.600')] +[2026-06-04 06:49:59,889][75030] Updated weights for policy 0, policy_version 21072 (0.0017) +[2026-06-04 06:50:03,198][75030] Updated weights for policy 0, policy_version 21152 (0.0015) +[2026-06-04 06:50:03,421][65146] Fps is (10 sec: 10649.3, 60 sec: 9830.3, 300 sec: 9524.9). Total num frames: 10838016. Throughput: 0: 9966.9. Samples: 10842624. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:50:03,422][65146] Avg episode reward: [(0, '3659.450')] +[2026-06-04 06:50:06,370][75030] Updated weights for policy 0, policy_version 21216 (0.0018) +[2026-06-04 06:50:08,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9469.4). Total num frames: 10878976. Throughput: 0: 10001.0. Samples: 10873344. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 06:50:08,421][65146] Avg episode reward: [(0, '3747.050')] +[2026-06-04 06:50:09,769][75030] Updated weights for policy 0, policy_version 21299 (0.0015) +[2026-06-04 06:50:12,656][74443] Signal inference workers to stop experience collection... (1000 times) +[2026-06-04 06:50:12,689][75030] InferenceWorker_p0-w0: stopping experience collection (1000 times) +[2026-06-04 06:50:12,773][74443] Signal inference workers to resume experience collection... (1000 times) +[2026-06-04 06:50:12,774][75030] InferenceWorker_p0-w0: resuming experience collection (1000 times) +[2026-06-04 06:50:13,149][75030] Updated weights for policy 0, policy_version 21376 (0.0013) +[2026-06-04 06:50:13,420][65146] Fps is (10 sec: 10650.1, 60 sec: 10376.6, 300 sec: 9552.7). Total num frames: 10944512. Throughput: 0: 9910.1. Samples: 10932224. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 06:50:13,421][65146] Avg episode reward: [(0, '3952.550')] +[2026-06-04 06:50:18,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9524.9). Total num frames: 10977280. Throughput: 0: 10024.6. Samples: 10994688. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-04 06:50:18,421][65146] Avg episode reward: [(0, '4026.250')] +[2026-06-04 06:50:18,426][74443] Saving new best policy, reward=4026.250! +[2026-06-04 06:50:19,019][75030] Updated weights for policy 0, policy_version 21456 (0.0013) +[2026-06-04 06:50:22,627][75030] Updated weights for policy 0, policy_version 21554 (0.0014) +[2026-06-04 06:50:23,421][65146] Fps is (10 sec: 9830.0, 60 sec: 10376.5, 300 sec: 9552.7). Total num frames: 11042816. Throughput: 0: 10069.2. Samples: 11025920. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-04 06:50:23,424][65146] Avg episode reward: [(0, '4072.800')] +[2026-06-04 06:50:23,429][74443] Saving new best policy, reward=4072.800! +[2026-06-04 06:50:26,063][75030] Updated weights for policy 0, policy_version 21626 (0.0012) +[2026-06-04 06:50:28,420][65146] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 11075584. Throughput: 0: 10046.6. Samples: 11084800. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-04 06:50:28,421][65146] Avg episode reward: [(0, '4278.250')] +[2026-06-04 06:50:28,425][74443] Saving new best policy, reward=4278.250! +[2026-06-04 06:50:29,497][75030] Updated weights for policy 0, policy_version 21696 (0.0013) +[2026-06-04 06:50:33,420][65146] Fps is (10 sec: 9830.7, 60 sec: 10240.6, 300 sec: 9608.2). Total num frames: 11141120. Throughput: 0: 10069.3. Samples: 11143168. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-04 06:50:33,421][65146] Avg episode reward: [(0, '4647.050')] +[2026-06-04 06:50:33,427][74443] Saving new best policy, reward=4647.050! +[2026-06-04 06:50:35,582][75030] Updated weights for policy 0, policy_version 21776 (0.0013) +[2026-06-04 06:50:38,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 11173888. Throughput: 0: 10103.5. Samples: 11174400. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-04 06:50:38,421][65146] Avg episode reward: [(0, '4819.300')] +[2026-06-04 06:50:38,429][74443] Saving new best policy, reward=4819.300! +[2026-06-04 06:50:39,090][75030] Updated weights for policy 0, policy_version 21856 (0.0013) +[2026-06-04 06:50:42,635][75030] Updated weights for policy 0, policy_version 21942 (0.0013) +[2026-06-04 06:50:43,420][65146] Fps is (10 sec: 9830.4, 60 sec: 10240.0, 300 sec: 9663.8). Total num frames: 11239424. Throughput: 0: 10035.2. Samples: 11233280. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 06:50:43,421][65146] Avg episode reward: [(0, '4777.400')] +[2026-06-04 06:50:46,160][75030] Updated weights for policy 0, policy_version 22016 (0.0014) +[2026-06-04 06:50:48,420][65146] Fps is (10 sec: 9830.7, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 11272192. Throughput: 0: 9978.4. Samples: 11291648. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 06:50:48,421][65146] Avg episode reward: [(0, '4843.650')] +[2026-06-04 06:50:48,425][74443] Saving new best policy, reward=4843.650! +[2026-06-04 06:50:52,092][75030] Updated weights for policy 0, policy_version 22096 (0.0020) +[2026-06-04 06:50:53,420][65146] Fps is (10 sec: 9830.2, 60 sec: 10103.4, 300 sec: 9663.8). Total num frames: 11337728. Throughput: 0: 9989.7. Samples: 11322880. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-04 06:50:53,422][65146] Avg episode reward: [(0, '4747.550')] +[2026-06-04 06:50:55,499][75030] Updated weights for policy 0, policy_version 22176 (0.0016) +[2026-06-04 06:50:58,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9552.7). Total num frames: 11370496. Throughput: 0: 10001.1. Samples: 11382272. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 06:50:58,421][65146] Avg episode reward: [(0, '4725.550')] +[2026-06-04 06:50:59,018][75030] Updated weights for policy 0, policy_version 22256 (0.0016) +[2026-06-04 06:51:02,282][75030] Updated weights for policy 0, policy_version 22324 (0.0018) +[2026-06-04 06:51:03,420][65146] Fps is (10 sec: 9830.6, 60 sec: 9967.0, 300 sec: 9663.8). Total num frames: 11436032. Throughput: 0: 9944.2. Samples: 11442176. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 06:51:03,421][65146] Avg episode reward: [(0, '4606.750')] +[2026-06-04 06:51:05,883][75030] Updated weights for policy 0, policy_version 22390 (0.0015) +[2026-06-04 06:51:08,421][65146] Fps is (10 sec: 9829.5, 60 sec: 9830.3, 300 sec: 9580.4). Total num frames: 11468800. Throughput: 0: 9875.8. Samples: 11470336. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 06:51:08,423][65146] Avg episode reward: [(0, '4419.450')] +[2026-06-04 06:51:08,767][74443] Signal inference workers to stop experience collection... (1050 times) +[2026-06-04 06:51:08,798][75030] InferenceWorker_p0-w0: stopping experience collection (1050 times) +[2026-06-04 06:51:08,921][74443] Signal inference workers to resume experience collection... (1050 times) +[2026-06-04 06:51:08,922][75030] InferenceWorker_p0-w0: resuming experience collection (1050 times) +[2026-06-04 06:51:09,444][75030] Updated weights for policy 0, policy_version 22462 (0.0018) +[2026-06-04 06:51:12,770][75030] Updated weights for policy 0, policy_version 22528 (0.0015) +[2026-06-04 06:51:13,421][65146] Fps is (10 sec: 9829.9, 60 sec: 9830.3, 300 sec: 9663.8). Total num frames: 11534336. Throughput: 0: 9875.8. Samples: 11529216. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:51:13,424][65146] Avg episode reward: [(0, '4495.550')] +[2026-06-04 06:51:18,420][65146] Fps is (10 sec: 9831.2, 60 sec: 9830.4, 300 sec: 9636.0). Total num frames: 11567104. Throughput: 0: 9910.1. Samples: 11589120. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:51:18,421][65146] Avg episode reward: [(0, '4581.400')] +[2026-06-04 06:51:18,665][75030] Updated weights for policy 0, policy_version 22609 (0.0015) +[2026-06-04 06:51:21,707][75030] Updated weights for policy 0, policy_version 22657 (0.0012) +[2026-06-04 06:51:23,420][65146] Fps is (10 sec: 9831.1, 60 sec: 9830.5, 300 sec: 9663.8). Total num frames: 11632640. Throughput: 0: 9910.1. Samples: 11620352. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:51:23,421][65146] Avg episode reward: [(0, '4528.650')] +[2026-06-04 06:51:25,400][75030] Updated weights for policy 0, policy_version 22768 (0.0012) +[2026-06-04 06:51:28,420][65146] Fps is (10 sec: 12287.7, 60 sec: 10240.0, 300 sec: 9747.1). Total num frames: 11689984. Throughput: 0: 9966.9. Samples: 11681792. Policy #0 lag: (min: 0.0, avg: 4.8, max: 64.0) +[2026-06-04 06:51:28,422][65146] Avg episode reward: [(0, '4697.700')] +[2026-06-04 06:51:28,543][75030] Updated weights for policy 0, policy_version 22839 (0.0011) +[2026-06-04 06:51:32,043][75030] Updated weights for policy 0, policy_version 22908 (0.0013) +[2026-06-04 06:51:33,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 11730944. Throughput: 0: 9989.7. Samples: 11741184. Policy #0 lag: (min: 0.0, avg: 4.8, max: 64.0) +[2026-06-04 06:51:33,421][65146] Avg episode reward: [(0, '4677.950')] +[2026-06-04 06:51:35,623][75030] Updated weights for policy 0, policy_version 22976 (0.0013) +[2026-06-04 06:51:38,420][65146] Fps is (10 sec: 8192.1, 60 sec: 9966.9, 300 sec: 9691.5). Total num frames: 11771904. Throughput: 0: 9887.3. Samples: 11767808. Policy #0 lag: (min: 0.0, avg: 4.8, max: 64.0) +[2026-06-04 06:51:38,422][65146] Avg episode reward: [(0, '4825.700')] +[2026-06-04 06:51:41,931][75030] Updated weights for policy 0, policy_version 23072 (0.0018) +[2026-06-04 06:51:43,420][65146] Fps is (10 sec: 9830.1, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 11829248. Throughput: 0: 9932.7. Samples: 11829248. Policy #0 lag: (min: 0.0, avg: 4.8, max: 64.0) +[2026-06-04 06:51:43,422][65146] Avg episode reward: [(0, '4788.450')] +[2026-06-04 06:51:45,270][75030] Updated weights for policy 0, policy_version 23136 (0.0017) +[2026-06-04 06:51:48,420][65146] Fps is (10 sec: 9011.1, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 11862016. Throughput: 0: 9875.9. Samples: 11886592. Policy #0 lag: (min: 8.0, avg: 12.8, max: 72.0) +[2026-06-04 06:51:48,422][65146] Avg episode reward: [(0, '4729.300')] +[2026-06-04 06:51:48,936][75030] Updated weights for policy 0, policy_version 23219 (0.0017) +[2026-06-04 06:51:52,034][75030] Updated weights for policy 0, policy_version 23283 (0.0016) +[2026-06-04 06:51:53,420][65146] Fps is (10 sec: 9830.7, 60 sec: 9830.5, 300 sec: 9663.8). Total num frames: 11927552. Throughput: 0: 9910.2. Samples: 11916288. Policy #0 lag: (min: 8.0, avg: 12.8, max: 72.0) +[2026-06-04 06:51:53,421][65146] Avg episode reward: [(0, '4690.950')] +[2026-06-04 06:51:55,285][75030] Updated weights for policy 0, policy_version 23348 (0.0016) +[2026-06-04 06:51:58,420][65146] Fps is (10 sec: 11468.8, 60 sec: 10103.4, 300 sec: 9719.3). Total num frames: 11976704. Throughput: 0: 9967.0. Samples: 11977728. Policy #0 lag: (min: 8.0, avg: 12.8, max: 72.0) +[2026-06-04 06:51:58,421][65146] Avg episode reward: [(0, '4879.550')] +[2026-06-04 06:51:58,598][75030] Updated weights for policy 0, policy_version 23417 (0.0014) +[2026-06-04 06:51:58,689][74443] Saving new best policy, reward=4879.550! +[2026-06-04 06:52:01,608][74443] Signal inference workers to stop experience collection... (1100 times) +[2026-06-04 06:52:01,638][75030] InferenceWorker_p0-w0: stopping experience collection (1100 times) +[2026-06-04 06:52:01,757][74443] Signal inference workers to resume experience collection... (1100 times) +[2026-06-04 06:52:01,758][75030] InferenceWorker_p0-w0: resuming experience collection (1100 times) +[2026-06-04 06:52:01,953][75030] Updated weights for policy 0, policy_version 23487 (0.0015) +[2026-06-04 06:52:03,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9691.5). Total num frames: 12025856. Throughput: 0: 9944.2. Samples: 12036608. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 06:52:03,421][65146] Avg episode reward: [(0, '4629.850')] +[2026-06-04 06:52:08,420][65146] Fps is (10 sec: 8192.2, 60 sec: 9830.6, 300 sec: 9663.8). Total num frames: 12058624. Throughput: 0: 9830.4. Samples: 12062720. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 06:52:08,421][65146] Avg episode reward: [(0, '4547.650')] +[2026-06-04 06:52:08,537][75030] Updated weights for policy 0, policy_version 23568 (0.0013) +[2026-06-04 06:52:12,143][75030] Updated weights for policy 0, policy_version 23648 (0.0017) +[2026-06-04 06:52:13,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.5, 300 sec: 9747.1). Total num frames: 12124160. Throughput: 0: 9784.9. Samples: 12122112. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 06:52:13,422][65146] Avg episode reward: [(0, '4535.450')] +[2026-06-04 06:52:15,892][75030] Updated weights for policy 0, policy_version 23733 (0.0014) +[2026-06-04 06:52:18,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9663.8). Total num frames: 12156928. Throughput: 0: 9705.2. Samples: 12177920. Policy #0 lag: (min: 15.0, avg: 19.0, max: 79.0) +[2026-06-04 06:52:18,421][65146] Avg episode reward: [(0, '4675.050')] +[2026-06-04 06:52:19,279][75030] Updated weights for policy 0, policy_version 23805 (0.0014) +[2026-06-04 06:52:22,706][75030] Updated weights for policy 0, policy_version 23871 (0.0012) +[2026-06-04 06:52:23,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.3, 300 sec: 9774.9). Total num frames: 12222464. Throughput: 0: 9773.5. Samples: 12207616. Policy #0 lag: (min: 4.0, avg: 7.8, max: 68.0) +[2026-06-04 06:52:23,424][65146] Avg episode reward: [(0, '4657.250')] +[2026-06-04 06:52:25,913][75030] Updated weights for policy 0, policy_version 23933 (0.0011) +[2026-06-04 06:52:28,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9420.8, 300 sec: 9663.8). Total num frames: 12255232. Throughput: 0: 9750.8. Samples: 12268032. Policy #0 lag: (min: 4.0, avg: 7.8, max: 68.0) +[2026-06-04 06:52:28,421][65146] Avg episode reward: [(0, '4664.550')] +[2026-06-04 06:52:29,053][75030] Updated weights for policy 0, policy_version 23989 (0.0015) +[2026-06-04 06:52:32,278][75030] Updated weights for policy 0, policy_version 24060 (0.0015) +[2026-06-04 06:52:33,420][65146] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 12320768. Throughput: 0: 9773.5. Samples: 12326400. Policy #0 lag: (min: 4.0, avg: 7.8, max: 68.0) +[2026-06-04 06:52:33,421][65146] Avg episode reward: [(0, '4398.300')] +[2026-06-04 06:52:38,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9693.9, 300 sec: 9691.6). Total num frames: 12353536. Throughput: 0: 9773.5. Samples: 12356096. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:52:38,421][65146] Avg episode reward: [(0, '4576.700')] +[2026-06-04 06:52:38,558][75030] Updated weights for policy 0, policy_version 24144 (0.0010) +[2026-06-04 06:52:41,971][75030] Updated weights for policy 0, policy_version 24224 (0.0012) +[2026-06-04 06:52:43,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 12419072. Throughput: 0: 9784.9. Samples: 12418048. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:52:43,421][65146] Avg episode reward: [(0, '4745.650')] +[2026-06-04 06:52:45,340][75030] Updated weights for policy 0, policy_version 24304 (0.0015) +[2026-06-04 06:52:48,420][65146] Fps is (10 sec: 12288.0, 60 sec: 10240.0, 300 sec: 9858.2). Total num frames: 12476416. Throughput: 0: 9853.2. Samples: 12480000. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:52:48,421][65146] Avg episode reward: [(0, '5036.800')] +[2026-06-04 06:52:48,585][75030] Updated weights for policy 0, policy_version 24379 (0.0015) +[2026-06-04 06:52:48,652][74443] Saving new best policy, reward=5036.800! +[2026-06-04 06:52:51,936][75030] Updated weights for policy 0, policy_version 24448 (0.0013) +[2026-06-04 06:52:53,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 12517376. Throughput: 0: 9921.4. Samples: 12509184. Policy #0 lag: (min: 31.0, avg: 34.9, max: 95.0) +[2026-06-04 06:52:53,422][65146] Avg episode reward: [(0, '5018.400')] +[2026-06-04 06:52:57,886][74443] Signal inference workers to stop experience collection... (1150 times) +[2026-06-04 06:52:57,919][75030] InferenceWorker_p0-w0: stopping experience collection (1150 times) +[2026-06-04 06:52:57,926][75030] Updated weights for policy 0, policy_version 24529 (0.0013) +[2026-06-04 06:52:58,038][74443] Signal inference workers to resume experience collection... (1150 times) +[2026-06-04 06:52:58,039][75030] InferenceWorker_p0-w0: resuming experience collection (1150 times) +[2026-06-04 06:52:58,421][65146] Fps is (10 sec: 9830.4, 60 sec: 9967.0, 300 sec: 9858.2). Total num frames: 12574720. Throughput: 0: 9955.6. Samples: 12570112. Policy #0 lag: (min: 31.0, avg: 34.9, max: 95.0) +[2026-06-04 06:52:58,422][65146] Avg episode reward: [(0, '4991.450')] +[2026-06-04 06:53:01,946][75030] Updated weights for policy 0, policy_version 24624 (0.0017) +[2026-06-04 06:53:03,421][65146] Fps is (10 sec: 9830.0, 60 sec: 9830.3, 300 sec: 9774.9). Total num frames: 12615680. Throughput: 0: 9932.7. Samples: 12624896. Policy #0 lag: (min: 31.0, avg: 34.9, max: 95.0) +[2026-06-04 06:53:03,423][65146] Avg episode reward: [(0, '4918.700')] +[2026-06-04 06:53:05,440][75030] Updated weights for policy 0, policy_version 24689 (0.0013) +[2026-06-04 06:53:08,420][65146] Fps is (10 sec: 7372.8, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 12648448. Throughput: 0: 9887.4. Samples: 12652544. Policy #0 lag: (min: 31.0, avg: 34.9, max: 95.0) +[2026-06-04 06:53:08,421][65146] Avg episode reward: [(0, '5025.300')] +[2026-06-04 06:53:08,865][75030] Updated weights for policy 0, policy_version 24756 (0.0013) +[2026-06-04 06:53:12,273][75030] Updated weights for policy 0, policy_version 24823 (0.0015) +[2026-06-04 06:53:13,420][65146] Fps is (10 sec: 9831.1, 60 sec: 9830.5, 300 sec: 9774.9). Total num frames: 12713984. Throughput: 0: 9898.7. Samples: 12713472. Policy #0 lag: (min: 14.0, avg: 17.7, max: 78.0) +[2026-06-04 06:53:13,421][65146] Avg episode reward: [(0, '5116.000')] +[2026-06-04 06:53:13,424][74443] Saving new best policy, reward=5116.000! +[2026-06-04 06:53:15,854][75030] Updated weights for policy 0, policy_version 24896 (0.0016) +[2026-06-04 06:53:18,420][65146] Fps is (10 sec: 9830.1, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 12746752. Throughput: 0: 9841.7. Samples: 12769280. Policy #0 lag: (min: 14.0, avg: 17.7, max: 78.0) +[2026-06-04 06:53:18,421][65146] Avg episode reward: [(0, '5070.350')] +[2026-06-04 06:53:19,286][75030] Updated weights for policy 0, policy_version 24960 (0.0014) +[2026-06-04 06:53:23,420][65146] Fps is (10 sec: 9830.1, 60 sec: 9830.4, 300 sec: 9802.6). Total num frames: 12812288. Throughput: 0: 9841.7. Samples: 12798976. Policy #0 lag: (min: 14.0, avg: 17.7, max: 78.0) +[2026-06-04 06:53:23,422][65146] Avg episode reward: [(0, '5017.550')] +[2026-06-04 06:53:23,429][74443] Saving results/checkpoints_factor_sweeps/demon_attack/context_window/demon_attack_frame_stack_fixed_l4_fs4_seed11/checkpoint_p0/checkpoint_000025024_12812288.pth... +[2026-06-04 06:53:25,447][75030] Updated weights for policy 0, policy_version 25056 (0.0017) +[2026-06-04 06:53:28,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 12845056. Throughput: 0: 9727.9. Samples: 12855808. Policy #0 lag: (min: 0.0, avg: 4.7, max: 64.0) +[2026-06-04 06:53:28,422][65146] Avg episode reward: [(0, '4854.050')] +[2026-06-04 06:53:28,935][75030] Updated weights for policy 0, policy_version 25137 (0.0018) +[2026-06-04 06:53:32,424][75030] Updated weights for policy 0, policy_version 25207 (0.0016) +[2026-06-04 06:53:33,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9858.2). Total num frames: 12910592. Throughput: 0: 9659.7. Samples: 12914688. Policy #0 lag: (min: 0.0, avg: 4.7, max: 64.0) +[2026-06-04 06:53:33,422][65146] Avg episode reward: [(0, '4907.450')] +[2026-06-04 06:53:36,070][75030] Updated weights for policy 0, policy_version 25279 (0.0017) +[2026-06-04 06:53:38,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9774.9). Total num frames: 12943360. Throughput: 0: 9671.1. Samples: 12944384. Policy #0 lag: (min: 0.0, avg: 4.7, max: 64.0) +[2026-06-04 06:53:38,422][65146] Avg episode reward: [(0, '4918.350')] +[2026-06-04 06:53:42,537][75030] Updated weights for policy 0, policy_version 25360 (0.0017) +[2026-06-04 06:53:43,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 13008896. Throughput: 0: 9557.3. Samples: 13000192. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:53:43,421][65146] Avg episode reward: [(0, '4996.800')] +[2026-06-04 06:53:46,105][75030] Updated weights for policy 0, policy_version 25440 (0.0014) +[2026-06-04 06:53:48,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9420.8, 300 sec: 9774.9). Total num frames: 13041664. Throughput: 0: 9648.5. Samples: 13059072. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:53:48,422][65146] Avg episode reward: [(0, '4923.950')] +[2026-06-04 06:53:49,788][75030] Updated weights for policy 0, policy_version 25520 (0.0013) +[2026-06-04 06:53:53,171][75030] Updated weights for policy 0, policy_version 25591 (0.0013) +[2026-06-04 06:53:53,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 13107200. Throughput: 0: 9614.2. Samples: 13085184. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:53:53,422][65146] Avg episode reward: [(0, '4811.250')] +[2026-06-04 06:53:55,827][74443] Signal inference workers to stop experience collection... (1200 times) +[2026-06-04 06:53:55,858][75030] InferenceWorker_p0-w0: stopping experience collection (1200 times) +[2026-06-04 06:53:55,991][74443] Signal inference workers to resume experience collection... (1200 times) +[2026-06-04 06:53:55,992][75030] InferenceWorker_p0-w0: resuming experience collection (1200 times) +[2026-06-04 06:53:56,467][75030] Updated weights for policy 0, policy_version 25662 (0.0014) +[2026-06-04 06:53:58,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9420.8, 300 sec: 9802.6). Total num frames: 13139968. Throughput: 0: 9591.4. Samples: 13145088. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 06:53:58,421][65146] Avg episode reward: [(0, '4802.550')] +[2026-06-04 06:54:02,093][75030] Updated weights for policy 0, policy_version 25744 (0.0013) +[2026-06-04 06:54:03,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.5, 300 sec: 9885.9). Total num frames: 13205504. Throughput: 0: 9762.2. Samples: 13208576. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 06:54:03,422][65146] Avg episode reward: [(0, '4797.650')] +[2026-06-04 06:54:05,414][75030] Updated weights for policy 0, policy_version 25825 (0.0014) +[2026-06-04 06:54:08,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9830.3, 300 sec: 9885.9). Total num frames: 13238272. Throughput: 0: 9830.4. Samples: 13241344. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 06:54:08,422][65146] Avg episode reward: [(0, '4716.650')] +[2026-06-04 06:54:08,894][75030] Updated weights for policy 0, policy_version 25907 (0.0013) +[2026-06-04 06:54:12,378][75030] Updated weights for policy 0, policy_version 25984 (0.0014) +[2026-06-04 06:54:13,420][65146] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 13303808. Throughput: 0: 9944.2. Samples: 13303296. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 06:54:13,424][65146] Avg episode reward: [(0, '4603.400')] +[2026-06-04 06:54:18,420][65146] Fps is (10 sec: 10649.8, 60 sec: 9967.0, 300 sec: 9913.7). Total num frames: 13344768. Throughput: 0: 9921.5. Samples: 13361152. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-04 06:54:18,421][65146] Avg episode reward: [(0, '4702.700')] +[2026-06-04 06:54:18,454][75030] Updated weights for policy 0, policy_version 26080 (0.0016) +[2026-06-04 06:54:22,086][75030] Updated weights for policy 0, policy_version 26161 (0.0015) +[2026-06-04 06:54:23,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 13402112. Throughput: 0: 9932.8. Samples: 13391360. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:54:23,422][65146] Avg episode reward: [(0, '4800.700')] +[2026-06-04 06:54:25,646][75030] Updated weights for policy 0, policy_version 26235 (0.0018) +[2026-06-04 06:54:28,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9967.0, 300 sec: 9886.1). Total num frames: 13443072. Throughput: 0: 9989.7. Samples: 13449728. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:54:28,421][65146] Avg episode reward: [(0, '5036.900')] +[2026-06-04 06:54:28,864][75030] Updated weights for policy 0, policy_version 26303 (0.0017) +[2026-06-04 06:54:33,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 13500416. Throughput: 0: 9989.7. Samples: 13508608. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:54:33,421][65146] Avg episode reward: [(0, '5226.500')] +[2026-06-04 06:54:33,426][74443] Saving new best policy, reward=5226.500! +[2026-06-04 06:54:35,133][75030] Updated weights for policy 0, policy_version 26384 (0.0014) +[2026-06-04 06:54:38,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9966.9, 300 sec: 9885.9). Total num frames: 13541376. Throughput: 0: 10012.5. Samples: 13535744. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 06:54:38,421][65146] Avg episode reward: [(0, '5286.900')] +[2026-06-04 06:54:38,602][74443] Saving new best policy, reward=5286.900! +[2026-06-04 06:54:38,603][75030] Updated weights for policy 0, policy_version 26480 (0.0014) +[2026-06-04 06:54:42,090][75030] Updated weights for policy 0, policy_version 26549 (0.0016) +[2026-06-04 06:54:43,420][65146] Fps is (10 sec: 9830.1, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 13598720. Throughput: 0: 10092.0. Samples: 13599232. Policy #0 lag: (min: 13.0, avg: 17.0, max: 77.0) +[2026-06-04 06:54:43,422][65146] Avg episode reward: [(0, '5380.800')] +[2026-06-04 06:54:43,427][74443] Saving new best policy, reward=5380.800! +[2026-06-04 06:54:44,937][75030] Updated weights for policy 0, policy_version 26609 (0.0012) +[2026-06-04 06:54:48,072][74443] Signal inference workers to stop experience collection... (1250 times) +[2026-06-04 06:54:48,102][75030] InferenceWorker_p0-w0: stopping experience collection (1250 times) +[2026-06-04 06:54:48,210][74443] Signal inference workers to resume experience collection... (1250 times) +[2026-06-04 06:54:48,211][75030] InferenceWorker_p0-w0: resuming experience collection (1250 times) +[2026-06-04 06:54:48,404][75030] Updated weights for policy 0, policy_version 26684 (0.0015) +[2026-06-04 06:54:48,420][65146] Fps is (10 sec: 11468.6, 60 sec: 10240.0, 300 sec: 9913.7). Total num frames: 13656064. Throughput: 0: 10092.1. Samples: 13662720. Policy #0 lag: (min: 13.0, avg: 17.0, max: 77.0) +[2026-06-04 06:54:48,422][65146] Avg episode reward: [(0, '5442.550')] +[2026-06-04 06:54:48,441][74443] Saving new best policy, reward=5442.550! +[2026-06-04 06:54:53,420][65146] Fps is (10 sec: 9830.7, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 13697024. Throughput: 0: 9955.6. Samples: 13689344. Policy #0 lag: (min: 13.0, avg: 17.0, max: 77.0) +[2026-06-04 06:54:53,421][65146] Avg episode reward: [(0, '5371.750')] +[2026-06-04 06:54:54,522][75030] Updated weights for policy 0, policy_version 26768 (0.0016) +[2026-06-04 06:54:57,915][75030] Updated weights for policy 0, policy_version 26835 (0.0013) +[2026-06-04 06:54:58,420][65146] Fps is (10 sec: 10649.9, 60 sec: 10376.5, 300 sec: 9913.7). Total num frames: 13762560. Throughput: 0: 9932.8. Samples: 13750272. Policy #0 lag: (min: 13.0, avg: 17.0, max: 77.0) +[2026-06-04 06:54:58,422][65146] Avg episode reward: [(0, '5322.600')] +[2026-06-04 06:55:01,048][75030] Updated weights for policy 0, policy_version 26912 (0.0016) +[2026-06-04 06:55:03,420][65146] Fps is (10 sec: 9830.1, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 13795328. Throughput: 0: 10046.5. Samples: 13813248. Policy #0 lag: (min: 15.0, avg: 19.7, max: 79.0) +[2026-06-04 06:55:03,422][65146] Avg episode reward: [(0, '5236.050')] +[2026-06-04 06:55:04,173][75030] Updated weights for policy 0, policy_version 26977 (0.0017) +[2026-06-04 06:55:07,456][75030] Updated weights for policy 0, policy_version 27057 (0.0018) +[2026-06-04 06:55:08,420][65146] Fps is (10 sec: 9830.2, 60 sec: 10376.6, 300 sec: 9885.9). Total num frames: 13860864. Throughput: 0: 10069.3. Samples: 13844480. Policy #0 lag: (min: 15.0, avg: 19.7, max: 79.0) +[2026-06-04 06:55:08,421][65146] Avg episode reward: [(0, '5278.350')] +[2026-06-04 06:55:10,747][75030] Updated weights for policy 0, policy_version 27120 (0.0016) +[2026-06-04 06:55:13,420][65146] Fps is (10 sec: 9830.7, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 13893632. Throughput: 0: 10080.7. Samples: 13903360. Policy #0 lag: (min: 15.0, avg: 19.7, max: 79.0) +[2026-06-04 06:55:13,421][65146] Avg episode reward: [(0, '5339.150')] +[2026-06-04 06:55:14,388][75030] Updated weights for policy 0, policy_version 27193 (0.0016) +[2026-06-04 06:55:17,742][75030] Updated weights for policy 0, policy_version 27264 (0.0013) +[2026-06-04 06:55:18,420][65146] Fps is (10 sec: 9830.5, 60 sec: 10240.0, 300 sec: 9886.0). Total num frames: 13959168. Throughput: 0: 10080.7. Samples: 13962240. Policy #0 lag: (min: 15.0, avg: 19.7, max: 79.0) +[2026-06-04 06:55:18,421][65146] Avg episode reward: [(0, '5223.600')] +[2026-06-04 06:55:21,307][75030] Updated weights for policy 0, policy_version 27328 (0.0013) +[2026-06-04 06:55:23,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 13991936. Throughput: 0: 10149.0. Samples: 13992448. Policy #0 lag: (min: 6.0, avg: 10.1, max: 70.0) +[2026-06-04 06:55:23,421][65146] Avg episode reward: [(0, '5291.000')] +[2026-06-04 06:55:27,164][75030] Updated weights for policy 0, policy_version 27440 (0.0015) +[2026-06-04 06:55:28,420][65146] Fps is (10 sec: 9830.5, 60 sec: 10240.0, 300 sec: 9885.9). Total num frames: 14057472. Throughput: 0: 10137.7. Samples: 14055424. Policy #0 lag: (min: 6.0, avg: 10.1, max: 70.0) +[2026-06-04 06:55:28,421][65146] Avg episode reward: [(0, '5362.050')] +[2026-06-04 06:55:30,658][75030] Updated weights for policy 0, policy_version 27512 (0.0013) +[2026-06-04 06:55:33,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 14090240. Throughput: 0: 10012.4. Samples: 14113280. Policy #0 lag: (min: 6.0, avg: 10.1, max: 70.0) +[2026-06-04 06:55:33,423][65146] Avg episode reward: [(0, '5408.150')] +[2026-06-04 06:55:34,219][75030] Updated weights for policy 0, policy_version 27584 (0.0014) +[2026-06-04 06:55:38,421][65146] Fps is (10 sec: 9829.9, 60 sec: 10239.9, 300 sec: 9885.9). Total num frames: 14155776. Throughput: 0: 10057.9. Samples: 14141952. Policy #0 lag: (min: 6.0, avg: 10.1, max: 70.0) +[2026-06-04 06:55:38,422][65146] Avg episode reward: [(0, '5518.800')] +[2026-06-04 06:55:38,429][74443] Saving new best policy, reward=5518.800! +[2026-06-04 06:55:40,498][75030] Updated weights for policy 0, policy_version 27664 (0.0015) +[2026-06-04 06:55:43,420][65146] Fps is (10 sec: 9830.8, 60 sec: 9830.5, 300 sec: 9885.9). Total num frames: 14188544. Throughput: 0: 9966.9. Samples: 14198784. Policy #0 lag: (min: 15.0, avg: 19.8, max: 79.0) +[2026-06-04 06:55:43,421][65146] Avg episode reward: [(0, '5543.300')] +[2026-06-04 06:55:43,425][74443] Saving new best policy, reward=5543.300! +[2026-06-04 06:55:43,916][74443] Signal inference workers to stop experience collection... (1300 times) +[2026-06-04 06:55:43,947][75030] InferenceWorker_p0-w0: stopping experience collection (1300 times) +[2026-06-04 06:55:44,138][74443] Signal inference workers to resume experience collection... (1300 times) +[2026-06-04 06:55:44,140][75030] InferenceWorker_p0-w0: resuming experience collection (1300 times) +[2026-06-04 06:55:44,146][75030] Updated weights for policy 0, policy_version 27744 (0.0022) +[2026-06-04 06:55:47,869][75030] Updated weights for policy 0, policy_version 27827 (0.0015) +[2026-06-04 06:55:48,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9966.9, 300 sec: 9885.9). Total num frames: 14254080. Throughput: 0: 9830.4. Samples: 14255616. Policy #0 lag: (min: 15.0, avg: 19.8, max: 79.0) +[2026-06-04 06:55:48,422][65146] Avg episode reward: [(0, '5599.900')] +[2026-06-04 06:55:48,426][74443] Saving new best policy, reward=5599.900! +[2026-06-04 06:55:51,513][75030] Updated weights for policy 0, policy_version 27899 (0.0017) +[2026-06-04 06:55:53,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 14286848. Throughput: 0: 9773.5. Samples: 14284288. Policy #0 lag: (min: 15.0, avg: 19.8, max: 79.0) +[2026-06-04 06:55:53,421][65146] Avg episode reward: [(0, '5669.200')] +[2026-06-04 06:55:53,426][74443] Saving new best policy, reward=5669.200! +[2026-06-04 06:55:54,496][75030] Updated weights for policy 0, policy_version 27963 (0.0015) +[2026-06-04 06:55:57,817][75030] Updated weights for policy 0, policy_version 28032 (0.0015) +[2026-06-04 06:55:58,421][65146] Fps is (10 sec: 9830.2, 60 sec: 9830.3, 300 sec: 9885.9). Total num frames: 14352384. Throughput: 0: 9875.8. Samples: 14347776. Policy #0 lag: (min: 15.0, avg: 19.8, max: 79.0) +[2026-06-04 06:55:58,424][65146] Avg episode reward: [(0, '5671.650')] +[2026-06-04 06:55:58,430][74443] Saving new best policy, reward=5671.650! +[2026-06-04 06:56:03,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9886.0). Total num frames: 14385152. Throughput: 0: 9853.1. Samples: 14405632. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 06:56:03,421][65146] Avg episode reward: [(0, '5805.750')] +[2026-06-04 06:56:03,426][74443] Saving new best policy, reward=5805.750! +[2026-06-04 06:56:04,014][75030] Updated weights for policy 0, policy_version 28128 (0.0017) +[2026-06-04 06:56:07,573][75030] Updated weights for policy 0, policy_version 28208 (0.0013) +[2026-06-04 06:56:08,420][65146] Fps is (10 sec: 9830.8, 60 sec: 9830.4, 300 sec: 9886.0). Total num frames: 14450688. Throughput: 0: 9830.4. Samples: 14434816. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 06:56:08,422][65146] Avg episode reward: [(0, '5695.850')] +[2026-06-04 06:56:11,056][75030] Updated weights for policy 0, policy_version 28275 (0.0016) +[2026-06-04 06:56:13,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9830.3, 300 sec: 9885.9). Total num frames: 14483456. Throughput: 0: 9682.4. Samples: 14491136. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 06:56:13,422][65146] Avg episode reward: [(0, '5659.250')] +[2026-06-04 06:56:17,509][75030] Updated weights for policy 0, policy_version 28368 (0.0017) +[2026-06-04 06:56:18,420][65146] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 14548992. Throughput: 0: 9705.3. Samples: 14550016. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 06:56:18,421][65146] Avg episode reward: [(0, '5804.200')] +[2026-06-04 06:56:21,519][75030] Updated weights for policy 0, policy_version 28464 (0.0018) +[2026-06-04 06:56:23,420][65146] Fps is (10 sec: 9830.8, 60 sec: 9830.4, 300 sec: 9802.6). Total num frames: 14581760. Throughput: 0: 9671.2. Samples: 14577152. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 06:56:23,421][65146] Avg episode reward: [(0, '5843.400')] +[2026-06-04 06:56:23,424][74443] Saving new best policy, reward=5843.400! +[2026-06-04 06:56:25,215][75030] Updated weights for policy 0, policy_version 28534 (0.0016) +[2026-06-04 06:56:28,420][65146] Fps is (10 sec: 9010.8, 60 sec: 9693.8, 300 sec: 9858.2). Total num frames: 14639104. Throughput: 0: 9671.0. Samples: 14633984. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 06:56:28,422][65146] Avg episode reward: [(0, '5813.300')] +[2026-06-04 06:56:28,482][75030] Updated weights for policy 0, policy_version 28601 (0.0015) +[2026-06-04 06:56:31,859][75030] Updated weights for policy 0, policy_version 28672 (0.0017) +[2026-06-04 06:56:33,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9858.2). Total num frames: 14680064. Throughput: 0: 9728.1. Samples: 14693376. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 06:56:33,421][65146] Avg episode reward: [(0, '5884.450')] +[2026-06-04 06:56:33,427][74443] Saving new best policy, reward=5884.450! +[2026-06-04 06:56:34,927][75030] Updated weights for policy 0, policy_version 28736 (0.0016) +[2026-06-04 06:56:38,024][75030] Updated weights for policy 0, policy_version 28800 (0.0012) +[2026-06-04 06:56:38,420][65146] Fps is (10 sec: 10649.8, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 14745600. Throughput: 0: 9796.2. Samples: 14725120. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-04 06:56:38,422][65146] Avg episode reward: [(0, '5846.150')] +[2026-06-04 06:56:40,481][74443] Signal inference workers to stop experience collection... (1350 times) +[2026-06-04 06:56:40,508][75030] InferenceWorker_p0-w0: stopping experience collection (1350 times) +[2026-06-04 06:56:40,670][74443] Signal inference workers to resume experience collection... (1350 times) +[2026-06-04 06:56:40,671][75030] InferenceWorker_p0-w0: resuming experience collection (1350 times) +[2026-06-04 06:56:43,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9830.3, 300 sec: 9885.9). Total num frames: 14778368. Throughput: 0: 9762.2. Samples: 14787072. Policy #0 lag: (min: 2.0, avg: 5.2, max: 66.0) +[2026-06-04 06:56:43,422][65146] Avg episode reward: [(0, '5941.500')] +[2026-06-04 06:56:43,426][74443] Saving new best policy, reward=5941.500! +[2026-06-04 06:56:43,943][75030] Updated weights for policy 0, policy_version 28896 (0.0013) +[2026-06-04 06:56:47,301][75030] Updated weights for policy 0, policy_version 28976 (0.0013) +[2026-06-04 06:56:48,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 14843904. Throughput: 0: 9853.2. Samples: 14849024. Policy #0 lag: (min: 2.0, avg: 5.2, max: 66.0) +[2026-06-04 06:56:48,421][65146] Avg episode reward: [(0, '5923.350')] +[2026-06-04 06:56:50,656][75030] Updated weights for policy 0, policy_version 29054 (0.0013) +[2026-06-04 06:56:53,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9830.4). Total num frames: 14876672. Throughput: 0: 9875.9. Samples: 14879232. Policy #0 lag: (min: 2.0, avg: 5.2, max: 66.0) +[2026-06-04 06:56:53,422][65146] Avg episode reward: [(0, '5983.350')] +[2026-06-04 06:56:53,427][74443] Saving new best policy, reward=5983.350! +[2026-06-04 06:56:56,554][75030] Updated weights for policy 0, policy_version 29136 (0.0017) +[2026-06-04 06:56:58,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9830.5, 300 sec: 9885.9). Total num frames: 14942208. Throughput: 0: 10035.3. Samples: 14942720. Policy #0 lag: (min: 2.0, avg: 5.2, max: 66.0) +[2026-06-04 06:56:58,422][65146] Avg episode reward: [(0, '6125.200')] +[2026-06-04 06:56:58,425][74443] Saving new best policy, reward=6125.200! +[2026-06-04 06:57:00,085][75030] Updated weights for policy 0, policy_version 29217 (0.0014) +[2026-06-04 06:57:03,421][65146] Fps is (10 sec: 11468.2, 60 sec: 10103.4, 300 sec: 9941.4). Total num frames: 14991360. Throughput: 0: 10069.1. Samples: 15003136. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 06:57:03,423][65146] Avg episode reward: [(0, '6049.800')] +[2026-06-04 06:57:03,681][75030] Updated weights for policy 0, policy_version 29303 (0.0015) +[2026-06-04 06:57:07,255][75030] Updated weights for policy 0, policy_version 29376 (0.0013) +[2026-06-04 06:57:08,420][65146] Fps is (10 sec: 9830.1, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 15040512. Throughput: 0: 10057.9. Samples: 15029760. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 06:57:08,422][65146] Avg episode reward: [(0, '6105.900')] +[2026-06-04 06:57:13,277][75030] Updated weights for policy 0, policy_version 29456 (0.0013) +[2026-06-04 06:57:13,420][65146] Fps is (10 sec: 9831.0, 60 sec: 10103.5, 300 sec: 9941.5). Total num frames: 15089664. Throughput: 0: 10126.3. Samples: 15089664. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 06:57:13,422][65146] Avg episode reward: [(0, '6170.000')] +[2026-06-04 06:57:13,802][74443] Saving new best policy, reward=6170.000! +[2026-06-04 06:57:16,758][75030] Updated weights for policy 0, policy_version 29536 (0.0012) +[2026-06-04 06:57:18,420][65146] Fps is (10 sec: 9830.8, 60 sec: 9830.4, 300 sec: 9886.0). Total num frames: 15138816. Throughput: 0: 10103.5. Samples: 15148032. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 06:57:18,421][65146] Avg episode reward: [(0, '6184.850')] +[2026-06-04 06:57:18,425][74443] Saving new best policy, reward=6184.850! +[2026-06-04 06:57:20,284][75030] Updated weights for policy 0, policy_version 29617 (0.0014) +[2026-06-04 06:57:23,420][65146] Fps is (10 sec: 9830.5, 60 sec: 10103.4, 300 sec: 9941.5). Total num frames: 15187968. Throughput: 0: 10035.2. Samples: 15176704. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 06:57:23,422][65146] Avg episode reward: [(0, '6271.850')] +[2026-06-04 06:57:23,753][75030] Updated weights for policy 0, policy_version 29691 (0.0020) +[2026-06-04 06:57:23,801][74443] Saving new best policy, reward=6271.850! +[2026-06-04 06:57:27,259][75030] Updated weights for policy 0, policy_version 29760 (0.0018) +[2026-06-04 06:57:28,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9967.0, 300 sec: 9885.9). Total num frames: 15237120. Throughput: 0: 10023.8. Samples: 15238144. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 06:57:28,421][65146] Avg episode reward: [(0, '6371.200')] +[2026-06-04 06:57:28,425][74443] Saving new best policy, reward=6371.200! +[2026-06-04 06:57:33,421][65146] Fps is (10 sec: 8191.0, 60 sec: 9830.2, 300 sec: 9885.9). Total num frames: 15269888. Throughput: 0: 9898.4. Samples: 15294464. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 06:57:33,423][65146] Avg episode reward: [(0, '6266.000')] +[2026-06-04 06:57:33,676][74443] Signal inference workers to stop experience collection... (1400 times) +[2026-06-04 06:57:33,677][75030] Updated weights for policy 0, policy_version 29856 (0.0013) +[2026-06-04 06:57:33,707][75030] InferenceWorker_p0-w0: stopping experience collection (1400 times) +[2026-06-04 06:57:33,817][74443] Signal inference workers to resume experience collection... (1400 times) +[2026-06-04 06:57:33,817][75030] InferenceWorker_p0-w0: resuming experience collection (1400 times) +[2026-06-04 06:57:37,251][75030] Updated weights for policy 0, policy_version 29937 (0.0014) +[2026-06-04 06:57:38,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 15335424. Throughput: 0: 9841.8. Samples: 15322112. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 06:57:38,421][65146] Avg episode reward: [(0, '6212.850')] +[2026-06-04 06:57:40,694][75030] Updated weights for policy 0, policy_version 30007 (0.0013) +[2026-06-04 06:57:43,420][65146] Fps is (10 sec: 9831.8, 60 sec: 9830.5, 300 sec: 9802.6). Total num frames: 15368192. Throughput: 0: 9739.4. Samples: 15380992. Policy #0 lag: (min: 4.0, avg: 7.1, max: 68.0) +[2026-06-04 06:57:43,421][65146] Avg episode reward: [(0, '6104.500')] +[2026-06-04 06:57:43,947][75030] Updated weights for policy 0, policy_version 30079 (0.0016) +[2026-06-04 06:57:48,420][65146] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 15433728. Throughput: 0: 9682.7. Samples: 15438848. Policy #0 lag: (min: 4.0, avg: 7.1, max: 68.0) +[2026-06-04 06:57:48,421][65146] Avg episode reward: [(0, '6007.350')] +[2026-06-04 06:57:50,212][75030] Updated weights for policy 0, policy_version 30160 (0.0013) +[2026-06-04 06:57:53,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9802.6). Total num frames: 15466496. Throughput: 0: 9750.8. Samples: 15468544. Policy #0 lag: (min: 4.0, avg: 7.1, max: 68.0) +[2026-06-04 06:57:53,421][65146] Avg episode reward: [(0, '5994.250')] +[2026-06-04 06:57:53,691][75030] Updated weights for policy 0, policy_version 30240 (0.0013) +[2026-06-04 06:57:57,051][75030] Updated weights for policy 0, policy_version 30321 (0.0013) +[2026-06-04 06:57:58,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9886.0). Total num frames: 15532032. Throughput: 0: 9841.8. Samples: 15532544. Policy #0 lag: (min: 4.0, avg: 7.1, max: 68.0) +[2026-06-04 06:57:58,422][65146] Avg episode reward: [(0, '6078.450')] +[2026-06-04 06:58:00,333][75030] Updated weights for policy 0, policy_version 30387 (0.0014) +[2026-06-04 06:58:03,420][65146] Fps is (10 sec: 11468.7, 60 sec: 9830.5, 300 sec: 9941.5). Total num frames: 15581184. Throughput: 0: 9887.3. Samples: 15592960. Policy #0 lag: (min: 23.0, avg: 26.2, max: 87.0) +[2026-06-04 06:58:03,422][65146] Avg episode reward: [(0, '5917.850')] +[2026-06-04 06:58:03,582][75030] Updated weights for policy 0, policy_version 30456 (0.0013) +[2026-06-04 06:58:06,698][75030] Updated weights for policy 0, policy_version 30525 (0.0015) +[2026-06-04 06:58:08,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 15630336. Throughput: 0: 9944.2. Samples: 15624192. Policy #0 lag: (min: 23.0, avg: 26.2, max: 87.0) +[2026-06-04 06:58:08,422][65146] Avg episode reward: [(0, '6043.300')] +[2026-06-04 06:58:10,131][75030] Updated weights for policy 0, policy_version 30590 (0.0014) +[2026-06-04 06:58:13,420][65146] Fps is (10 sec: 10649.5, 60 sec: 9966.9, 300 sec: 9969.3). Total num frames: 15687680. Throughput: 0: 9910.0. Samples: 15684096. Policy #0 lag: (min: 23.0, avg: 26.2, max: 87.0) +[2026-06-04 06:58:13,422][65146] Avg episode reward: [(0, '6212.800')] +[2026-06-04 06:58:16,407][75030] Updated weights for policy 0, policy_version 30672 (0.0015) +[2026-06-04 06:58:18,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.3, 300 sec: 9885.9). Total num frames: 15728640. Throughput: 0: 9864.8. Samples: 15738368. Policy #0 lag: (min: 23.0, avg: 26.2, max: 87.0) +[2026-06-04 06:58:18,422][65146] Avg episode reward: [(0, '6352.850')] +[2026-06-04 06:58:20,316][75030] Updated weights for policy 0, policy_version 30768 (0.0016) +[2026-06-04 06:58:23,420][65146] Fps is (10 sec: 7372.8, 60 sec: 9557.3, 300 sec: 9885.9). Total num frames: 15761408. Throughput: 0: 9841.8. Samples: 15764992. Policy #0 lag: (min: 30.0, avg: 33.7, max: 94.0) +[2026-06-04 06:58:23,421][65146] Avg episode reward: [(0, '6390.650')] +[2026-06-04 06:58:23,698][74443] Saving new best policy, reward=6390.650! +[2026-06-04 06:58:24,030][75030] Updated weights for policy 0, policy_version 30837 (0.0015) +[2026-06-04 06:58:27,677][75030] Updated weights for policy 0, policy_version 30906 (0.0020) +[2026-06-04 06:58:28,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 15826944. Throughput: 0: 9807.6. Samples: 15822336. Policy #0 lag: (min: 30.0, avg: 33.7, max: 94.0) +[2026-06-04 06:58:28,422][65146] Avg episode reward: [(0, '6411.800')] +[2026-06-04 06:58:28,426][74443] Saving new best policy, reward=6411.800! +[2026-06-04 06:58:30,529][74443] Signal inference workers to stop experience collection... (1450 times) +[2026-06-04 06:58:30,564][75030] InferenceWorker_p0-w0: stopping experience collection (1450 times) +[2026-06-04 06:58:30,692][74443] Signal inference workers to resume experience collection... (1450 times) +[2026-06-04 06:58:30,693][75030] InferenceWorker_p0-w0: resuming experience collection (1450 times) +[2026-06-04 06:58:30,965][75030] Updated weights for policy 0, policy_version 30969 (0.0020) +[2026-06-04 06:58:33,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.6, 300 sec: 9885.9). Total num frames: 15859712. Throughput: 0: 9819.0. Samples: 15880704. Policy #0 lag: (min: 30.0, avg: 33.7, max: 94.0) +[2026-06-04 06:58:33,422][65146] Avg episode reward: [(0, '6306.600')] +[2026-06-04 06:58:37,023][75030] Updated weights for policy 0, policy_version 31056 (0.0015) +[2026-06-04 06:58:38,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 15925248. Throughput: 0: 9807.6. Samples: 15909888. Policy #0 lag: (min: 30.0, avg: 33.7, max: 94.0) +[2026-06-04 06:58:38,421][65146] Avg episode reward: [(0, '6106.650')] +[2026-06-04 06:58:40,381][75030] Updated weights for policy 0, policy_version 31136 (0.0014) +[2026-06-04 06:58:43,420][65146] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 15958016. Throughput: 0: 9762.2. Samples: 15971840. Policy #0 lag: (min: 31.0, avg: 35.1, max: 95.0) +[2026-06-04 06:58:43,421][65146] Avg episode reward: [(0, '6144.150')] +[2026-06-04 06:58:43,632][75030] Updated weights for policy 0, policy_version 31200 (0.0013) +[2026-06-04 06:58:46,970][75030] Updated weights for policy 0, policy_version 31280 (0.0015) +[2026-06-04 06:58:48,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 16023552. Throughput: 0: 9739.3. Samples: 16031232. Policy #0 lag: (min: 31.0, avg: 35.1, max: 95.0) +[2026-06-04 06:58:48,421][65146] Avg episode reward: [(0, '6083.650')] +[2026-06-04 06:58:50,439][75030] Updated weights for policy 0, policy_version 31347 (0.0016) +[2026-06-04 06:58:53,422][65146] Fps is (10 sec: 11468.7, 60 sec: 10103.5, 300 sec: 9941.5). Total num frames: 16072704. Throughput: 0: 9682.5. Samples: 16059904. Policy #0 lag: (min: 31.0, avg: 35.1, max: 95.0) +[2026-06-04 06:58:53,424][65146] Avg episode reward: [(0, '6022.450')] +[2026-06-04 06:58:53,752][75030] Updated weights for policy 0, policy_version 31424 (0.0015) +[2026-06-04 06:58:58,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 16121856. Throughput: 0: 9762.1. Samples: 16123392. Policy #0 lag: (min: 31.0, avg: 35.1, max: 95.0) +[2026-06-04 06:58:58,422][65146] Avg episode reward: [(0, '5894.100')] +[2026-06-04 06:58:59,898][75030] Updated weights for policy 0, policy_version 31504 (0.0013) +[2026-06-04 06:59:03,322][75030] Updated weights for policy 0, policy_version 31600 (0.0016) +[2026-06-04 06:59:03,420][65146] Fps is (10 sec: 10649.5, 60 sec: 9966.9, 300 sec: 9969.3). Total num frames: 16179200. Throughput: 0: 9910.1. Samples: 16184320. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 06:59:03,422][65146] Avg episode reward: [(0, '5879.750')] +[2026-06-04 06:59:06,527][75030] Updated weights for policy 0, policy_version 31672 (0.0015) +[2026-06-04 06:59:08,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 16220160. Throughput: 0: 10012.4. Samples: 16215552. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 06:59:08,421][65146] Avg episode reward: [(0, '6175.900')] +[2026-06-04 06:59:09,831][75030] Updated weights for policy 0, policy_version 31741 (0.0014) +[2026-06-04 06:59:13,110][75030] Updated weights for policy 0, policy_version 31808 (0.0015) +[2026-06-04 06:59:13,420][65146] Fps is (10 sec: 10649.8, 60 sec: 9967.0, 300 sec: 9969.3). Total num frames: 16285696. Throughput: 0: 10137.7. Samples: 16278528. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 06:59:13,421][65146] Avg episode reward: [(0, '6030.450')] +[2026-06-04 06:59:18,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 16318464. Throughput: 0: 10092.1. Samples: 16334848. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 06:59:18,422][65146] Avg episode reward: [(0, '6520.150')] +[2026-06-04 06:59:18,429][74443] Saving new best policy, reward=6520.150! +[2026-06-04 06:59:19,449][75030] Updated weights for policy 0, policy_version 31904 (0.0014) +[2026-06-04 06:59:23,046][75030] Updated weights for policy 0, policy_version 31986 (0.0015) +[2026-06-04 06:59:23,420][65146] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 9969.2). Total num frames: 16384000. Throughput: 0: 10046.6. Samples: 16361984. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-04 06:59:23,422][65146] Avg episode reward: [(0, '6460.500')] +[2026-06-04 06:59:25,932][74443] Signal inference workers to stop experience collection... (1500 times) +[2026-06-04 06:59:25,960][75030] InferenceWorker_p0-w0: stopping experience collection (1500 times) +[2026-06-04 06:59:26,140][74443] Signal inference workers to resume experience collection... (1500 times) +[2026-06-04 06:59:26,140][75030] InferenceWorker_p0-w0: resuming experience collection (1500 times) +[2026-06-04 06:59:26,623][75030] Updated weights for policy 0, policy_version 32060 (0.0012) +[2026-06-04 06:59:28,420][65146] Fps is (10 sec: 9830.8, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 16416768. Throughput: 0: 9955.6. Samples: 16419840. Policy #0 lag: (min: 2.0, avg: 6.0, max: 66.0) +[2026-06-04 06:59:28,421][65146] Avg episode reward: [(0, '6636.850')] +[2026-06-04 06:59:28,425][74443] Saving new best policy, reward=6636.850! +[2026-06-04 06:59:32,855][75030] Updated weights for policy 0, policy_version 32144 (0.0014) +[2026-06-04 06:59:33,420][65146] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 9969.2). Total num frames: 16482304. Throughput: 0: 9989.7. Samples: 16480768. Policy #0 lag: (min: 2.0, avg: 6.0, max: 66.0) +[2026-06-04 06:59:33,422][65146] Avg episode reward: [(0, '6761.050')] +[2026-06-04 06:59:33,426][74443] Saving new best policy, reward=6761.050! +[2026-06-04 06:59:36,368][75030] Updated weights for policy 0, policy_version 32224 (0.0013) +[2026-06-04 06:59:38,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 16515072. Throughput: 0: 9989.7. Samples: 16509440. Policy #0 lag: (min: 2.0, avg: 6.0, max: 66.0) +[2026-06-04 06:59:38,422][65146] Avg episode reward: [(0, '6927.650')] +[2026-06-04 06:59:38,427][74443] Saving new best policy, reward=6927.650! +[2026-06-04 06:59:39,911][75030] Updated weights for policy 0, policy_version 32311 (0.0015) +[2026-06-04 06:59:43,405][75030] Updated weights for policy 0, policy_version 32380 (0.0013) +[2026-06-04 06:59:43,420][65146] Fps is (10 sec: 9011.2, 60 sec: 10240.0, 300 sec: 9885.9). Total num frames: 16572416. Throughput: 0: 9864.6. Samples: 16567296. Policy #0 lag: (min: 2.0, avg: 6.0, max: 66.0) +[2026-06-04 06:59:43,422][65146] Avg episode reward: [(0, '6881.150')] +[2026-06-04 06:59:46,607][75030] Updated weights for policy 0, policy_version 32448 (0.0014) +[2026-06-04 06:59:48,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 16613376. Throughput: 0: 9887.3. Samples: 16629248. Policy #0 lag: (min: 2.0, avg: 6.0, max: 66.0) +[2026-06-04 06:59:48,421][65146] Avg episode reward: [(0, '6886.650')] +[2026-06-04 06:59:52,962][75030] Updated weights for policy 0, policy_version 32544 (0.0013) +[2026-06-04 06:59:53,420][65146] Fps is (10 sec: 10649.8, 60 sec: 10103.5, 300 sec: 9885.9). Total num frames: 16678912. Throughput: 0: 9853.2. Samples: 16658944. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 06:59:53,421][65146] Avg episode reward: [(0, '6762.000')] +[2026-06-04 06:59:56,498][75030] Updated weights for policy 0, policy_version 32627 (0.0012) +[2026-06-04 06:59:58,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 16711680. Throughput: 0: 9705.2. Samples: 16715264. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 06:59:58,421][65146] Avg episode reward: [(0, '6701.500')] +[2026-06-04 06:59:59,595][75030] Updated weights for policy 0, policy_version 32673 (0.0018) +[2026-06-04 07:00:03,116][75030] Updated weights for policy 0, policy_version 32753 (0.0013) +[2026-06-04 07:00:03,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9967.0, 300 sec: 9885.9). Total num frames: 16777216. Throughput: 0: 9807.7. Samples: 16776192. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 07:00:03,421][65146] Avg episode reward: [(0, '6820.900')] +[2026-06-04 07:00:06,469][75030] Updated weights for policy 0, policy_version 32822 (0.0015) +[2026-06-04 07:00:08,420][65146] Fps is (10 sec: 9830.1, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 16809984. Throughput: 0: 9864.5. Samples: 16805888. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-04 07:00:08,422][65146] Avg episode reward: [(0, '6596.350')] +[2026-06-04 07:00:09,696][75030] Updated weights for policy 0, policy_version 32886 (0.0013) +[2026-06-04 07:00:12,785][75030] Updated weights for policy 0, policy_version 32953 (0.0016) +[2026-06-04 07:00:13,420][65146] Fps is (10 sec: 9830.0, 60 sec: 9830.3, 300 sec: 9885.9). Total num frames: 16875520. Throughput: 0: 9978.2. Samples: 16868864. Policy #0 lag: (min: 13.0, avg: 18.2, max: 77.0) +[2026-06-04 07:00:13,422][65146] Avg episode reward: [(0, '6540.600')] +[2026-06-04 07:00:15,995][75030] Updated weights for policy 0, policy_version 33024 (0.0018) +[2026-06-04 07:00:18,420][65146] Fps is (10 sec: 9830.7, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 16908288. Throughput: 0: 9978.3. Samples: 16929792. Policy #0 lag: (min: 13.0, avg: 18.2, max: 77.0) +[2026-06-04 07:00:18,421][65146] Avg episode reward: [(0, '6587.800')] +[2026-06-04 07:00:18,882][74443] Signal inference workers to stop experience collection... (1550 times) +[2026-06-04 07:00:18,914][75030] InferenceWorker_p0-w0: stopping experience collection (1550 times) +[2026-06-04 07:00:19,044][74443] Signal inference workers to resume experience collection... (1550 times) +[2026-06-04 07:00:19,045][75030] InferenceWorker_p0-w0: resuming experience collection (1550 times) +[2026-06-04 07:00:22,108][75030] Updated weights for policy 0, policy_version 33104 (0.0015) +[2026-06-04 07:00:23,420][65146] Fps is (10 sec: 9830.7, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 16973824. Throughput: 0: 9989.7. Samples: 16958976. Policy #0 lag: (min: 13.0, avg: 18.2, max: 77.0) +[2026-06-04 07:00:23,422][65146] Avg episode reward: [(0, '6542.100')] +[2026-06-04 07:00:25,306][75030] Updated weights for policy 0, policy_version 33168 (0.0013) +[2026-06-04 07:00:28,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 17006592. Throughput: 0: 9989.7. Samples: 17016832. Policy #0 lag: (min: 13.0, avg: 18.2, max: 77.0) +[2026-06-04 07:00:28,422][65146] Avg episode reward: [(0, '6418.650')] +[2026-06-04 07:00:28,905][75030] Updated weights for policy 0, policy_version 33249 (0.0016) +[2026-06-04 07:00:32,138][75030] Updated weights for policy 0, policy_version 33329 (0.0013) +[2026-06-04 07:00:33,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9886.0). Total num frames: 17072128. Throughput: 0: 9989.7. Samples: 17078784. Policy #0 lag: (min: 13.0, avg: 18.2, max: 77.0) +[2026-06-04 07:00:33,422][65146] Avg episode reward: [(0, '6533.650')] +[2026-06-04 07:00:35,608][75030] Updated weights for policy 0, policy_version 33401 (0.0012) +[2026-06-04 07:00:38,420][65146] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 17104896. Throughput: 0: 9978.3. Samples: 17107968. Policy #0 lag: (min: 14.0, avg: 17.7, max: 78.0) +[2026-06-04 07:00:38,421][65146] Avg episode reward: [(0, '6509.450')] +[2026-06-04 07:00:39,345][75030] Updated weights for policy 0, policy_version 33466 (0.0015) +[2026-06-04 07:00:43,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9966.9, 300 sec: 9885.9). Total num frames: 17170432. Throughput: 0: 10012.4. Samples: 17165824. Policy #0 lag: (min: 14.0, avg: 17.7, max: 78.0) +[2026-06-04 07:00:43,421][65146] Avg episode reward: [(0, '6509.650')] +[2026-06-04 07:00:45,575][75030] Updated weights for policy 0, policy_version 33568 (0.0015) +[2026-06-04 07:00:48,420][65146] Fps is (10 sec: 9829.9, 60 sec: 9830.3, 300 sec: 9885.9). Total num frames: 17203200. Throughput: 0: 9966.8. Samples: 17224704. Policy #0 lag: (min: 14.0, avg: 17.7, max: 78.0) +[2026-06-04 07:00:48,422][65146] Avg episode reward: [(0, '6425.300')] +[2026-06-04 07:00:49,180][75030] Updated weights for policy 0, policy_version 33651 (0.0016) +[2026-06-04 07:00:52,495][75030] Updated weights for policy 0, policy_version 33715 (0.0012) +[2026-06-04 07:00:53,420][65146] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9886.0). Total num frames: 17268736. Throughput: 0: 9967.0. Samples: 17254400. Policy #0 lag: (min: 14.0, avg: 17.7, max: 78.0) +[2026-06-04 07:00:53,421][65146] Avg episode reward: [(0, '6522.500')] +[2026-06-04 07:00:55,653][75030] Updated weights for policy 0, policy_version 33786 (0.0013) +[2026-06-04 07:00:58,420][65146] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 17301504. Throughput: 0: 9887.3. Samples: 17313792. Policy #0 lag: (min: 14.0, avg: 17.7, max: 78.0) +[2026-06-04 07:00:58,422][65146] Avg episode reward: [(0, '6429.550')] +[2026-06-04 07:00:59,302][75030] Updated weights for policy 0, policy_version 33856 (0.0013) +[2026-06-04 07:01:02,675][75030] Updated weights for policy 0, policy_version 33920 (0.0014) +[2026-06-04 07:01:03,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 17367040. Throughput: 0: 9819.0. Samples: 17371648. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 07:01:03,421][65146] Avg episode reward: [(0, '6467.100')] +[2026-06-04 07:01:08,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 17399808. Throughput: 0: 9830.4. Samples: 17401344. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 07:01:08,422][65146] Avg episode reward: [(0, '6453.700')] +[2026-06-04 07:01:09,025][75030] Updated weights for policy 0, policy_version 34032 (0.0013) +[2026-06-04 07:01:12,421][75030] Updated weights for policy 0, policy_version 34097 (0.0013) +[2026-06-04 07:01:13,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9830.5, 300 sec: 9885.9). Total num frames: 17465344. Throughput: 0: 9853.2. Samples: 17460224. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 07:01:13,421][65146] Avg episode reward: [(0, '6428.900')] +[2026-06-04 07:01:15,354][74443] Signal inference workers to stop experience collection... (1600 times) +[2026-06-04 07:01:15,387][75030] InferenceWorker_p0-w0: stopping experience collection (1600 times) +[2026-06-04 07:01:15,475][74443] Signal inference workers to resume experience collection... (1600 times) +[2026-06-04 07:01:15,476][75030] InferenceWorker_p0-w0: resuming experience collection (1600 times) +[2026-06-04 07:01:15,764][75030] Updated weights for policy 0, policy_version 34166 (0.0016) +[2026-06-04 07:01:18,420][65146] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 17498112. Throughput: 0: 9841.8. Samples: 17521664. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 07:01:18,421][65146] Avg episode reward: [(0, '6596.350')] +[2026-06-04 07:01:19,051][75030] Updated weights for policy 0, policy_version 34240 (0.0013) +[2026-06-04 07:01:23,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9913.7). Total num frames: 17563648. Throughput: 0: 9830.4. Samples: 17550336. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 07:01:23,421][65146] Avg episode reward: [(0, '6595.950')] +[2026-06-04 07:01:24,882][75030] Updated weights for policy 0, policy_version 34320 (0.0015) +[2026-06-04 07:01:28,420][65146] Fps is (10 sec: 11468.9, 60 sec: 10103.5, 300 sec: 9941.5). Total num frames: 17612800. Throughput: 0: 9932.8. Samples: 17612800. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 07:01:28,421][65146] Avg episode reward: [(0, '6797.100')] +[2026-06-04 07:01:28,502][75030] Updated weights for policy 0, policy_version 34416 (0.0014) +[2026-06-04 07:01:31,680][75030] Updated weights for policy 0, policy_version 34486 (0.0014) +[2026-06-04 07:01:33,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 17661952. Throughput: 0: 10012.6. Samples: 17675264. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 07:01:33,421][65146] Avg episode reward: [(0, '6853.050')] +[2026-06-04 07:01:34,931][75030] Updated weights for policy 0, policy_version 34551 (0.0015) +[2026-06-04 07:01:38,168][75030] Updated weights for policy 0, policy_version 34623 (0.0013) +[2026-06-04 07:01:38,420][65146] Fps is (10 sec: 11468.4, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 17727488. Throughput: 0: 9989.6. Samples: 17703936. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 07:01:38,423][65146] Avg episode reward: [(0, '6994.900')] +[2026-06-04 07:01:38,431][74443] Saving new best policy, reward=6994.900! +[2026-06-04 07:01:43,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 17760256. Throughput: 0: 10137.6. Samples: 17769984. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 07:01:43,421][65146] Avg episode reward: [(0, '7011.650')] +[2026-06-04 07:01:43,425][74443] Saving new best policy, reward=7011.650! +[2026-06-04 07:01:43,636][75030] Updated weights for policy 0, policy_version 34704 (0.0013) +[2026-06-04 07:01:46,835][75030] Updated weights for policy 0, policy_version 34768 (0.0020) +[2026-06-04 07:01:48,420][65146] Fps is (10 sec: 9830.6, 60 sec: 10376.6, 300 sec: 9997.0). Total num frames: 17825792. Throughput: 0: 10228.6. Samples: 17831936. Policy #0 lag: (min: 57.0, avg: 61.5, max: 121.0) +[2026-06-04 07:01:48,421][65146] Avg episode reward: [(0, '7133.150')] +[2026-06-04 07:01:48,424][74443] Saving new best policy, reward=7133.150! +[2026-06-04 07:01:50,145][75030] Updated weights for policy 0, policy_version 34832 (0.0011) +[2026-06-04 07:01:53,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 17858560. Throughput: 0: 10251.4. Samples: 17862656. Policy #0 lag: (min: 57.0, avg: 61.5, max: 121.0) +[2026-06-04 07:01:53,421][65146] Avg episode reward: [(0, '6975.750')] +[2026-06-04 07:01:53,586][75030] Updated weights for policy 0, policy_version 34912 (0.0015) +[2026-06-04 07:01:56,993][75030] Updated weights for policy 0, policy_version 34992 (0.0014) +[2026-06-04 07:01:58,420][65146] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 9941.5). Total num frames: 17924096. Throughput: 0: 10319.6. Samples: 17924608. Policy #0 lag: (min: 57.0, avg: 61.5, max: 121.0) +[2026-06-04 07:01:58,422][65146] Avg episode reward: [(0, '7081.850')] +[2026-06-04 07:02:00,607][75030] Updated weights for policy 0, policy_version 35062 (0.0015) +[2026-06-04 07:02:03,426][65146] Fps is (10 sec: 9824.4, 60 sec: 9829.4, 300 sec: 9885.7). Total num frames: 17956864. Throughput: 0: 10193.1. Samples: 17980416. Policy #0 lag: (min: 57.0, avg: 61.5, max: 121.0) +[2026-06-04 07:02:03,429][65146] Avg episode reward: [(0, '7154.400')] +[2026-06-04 07:02:03,735][74443] Saving new best policy, reward=7154.400! +[2026-06-04 07:02:04,096][75030] Updated weights for policy 0, policy_version 35130 (0.0015) +[2026-06-04 07:02:07,265][75030] Updated weights for policy 0, policy_version 35198 (0.0014) +[2026-06-04 07:02:08,420][65146] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 9941.5). Total num frames: 18022400. Throughput: 0: 10251.3. Samples: 18011648. Policy #0 lag: (min: 4.0, avg: 8.2, max: 68.0) +[2026-06-04 07:02:08,422][65146] Avg episode reward: [(0, '7077.600')] +[2026-06-04 07:02:09,867][74443] Signal inference workers to stop experience collection... (1650 times) +[2026-06-04 07:02:09,898][75030] InferenceWorker_p0-w0: stopping experience collection (1650 times) +[2026-06-04 07:02:10,018][74443] Signal inference workers to resume experience collection... (1650 times) +[2026-06-04 07:02:10,018][75030] InferenceWorker_p0-w0: resuming experience collection (1650 times) +[2026-06-04 07:02:10,641][75030] Updated weights for policy 0, policy_version 35264 (0.0014) +[2026-06-04 07:02:13,420][65146] Fps is (10 sec: 11475.7, 60 sec: 10103.4, 300 sec: 9941.5). Total num frames: 18071552. Throughput: 0: 10171.7. Samples: 18070528. Policy #0 lag: (min: 4.0, avg: 8.2, max: 68.0) +[2026-06-04 07:02:13,421][65146] Avg episode reward: [(0, '7071.400')] +[2026-06-04 07:02:13,778][75030] Updated weights for policy 0, policy_version 35328 (0.0017) +[2026-06-04 07:02:18,420][65146] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9941.5). Total num frames: 18120704. Throughput: 0: 10137.5. Samples: 18131456. Policy #0 lag: (min: 4.0, avg: 8.2, max: 68.0) +[2026-06-04 07:02:18,422][65146] Avg episode reward: [(0, '7069.500')] +[2026-06-04 07:02:19,819][75030] Updated weights for policy 0, policy_version 35408 (0.0014) +[2026-06-04 07:02:23,356][75030] Updated weights for policy 0, policy_version 35488 (0.0017) +[2026-06-04 07:02:23,420][65146] Fps is (10 sec: 9830.3, 60 sec: 10103.4, 300 sec: 9941.5). Total num frames: 18169856. Throughput: 0: 10137.6. Samples: 18160128. Policy #0 lag: (min: 4.0, avg: 8.2, max: 68.0) +[2026-06-04 07:02:23,422][65146] Avg episode reward: [(0, '7019.650')] +[2026-06-04 07:02:26,651][75030] Updated weights for policy 0, policy_version 35553 (0.0017) +[2026-06-04 07:02:28,420][65146] Fps is (10 sec: 9830.4, 60 sec: 10103.4, 300 sec: 9997.1). Total num frames: 18219008. Throughput: 0: 10012.4. Samples: 18220544. Policy #0 lag: (min: 4.0, avg: 8.2, max: 68.0) +[2026-06-04 07:02:28,422][65146] Avg episode reward: [(0, '6994.400')] +[2026-06-04 07:02:29,953][75030] Updated weights for policy 0, policy_version 35635 (0.0017) +[2026-06-04 07:02:33,420][65146] Fps is (10 sec: 10649.8, 60 sec: 10240.0, 300 sec: 9969.3). Total num frames: 18276352. Throughput: 0: 10012.5. Samples: 18282496. Policy #0 lag: (min: 5.0, avg: 9.5, max: 69.0) +[2026-06-04 07:02:33,421][65146] Avg episode reward: [(0, '6915.850')] +[2026-06-04 07:02:33,469][75030] Updated weights for policy 0, policy_version 35706 (0.0014) +[2026-06-04 07:02:36,568][75030] Updated weights for policy 0, policy_version 35772 (0.0015) +[2026-06-04 07:02:38,420][65146] Fps is (10 sec: 9830.7, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 18317312. Throughput: 0: 10023.8. Samples: 18313728. Policy #0 lag: (min: 5.0, avg: 9.5, max: 69.0) +[2026-06-04 07:02:38,421][65146] Avg episode reward: [(0, '7009.050')] +[2026-06-04 07:02:39,933][75030] Updated weights for policy 0, policy_version 35838 (0.0015) +[2026-06-04 07:02:43,421][65146] Fps is (10 sec: 10649.1, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 18382848. Throughput: 0: 9966.9. Samples: 18373120. Policy #0 lag: (min: 5.0, avg: 9.5, max: 69.0) +[2026-06-04 07:02:43,425][65146] Avg episode reward: [(0, '7090.950')] +[2026-06-04 07:02:46,090][75030] Updated weights for policy 0, policy_version 35920 (0.0017) +[2026-06-04 07:02:48,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 18415616. Throughput: 0: 9991.0. Samples: 18429952. Policy #0 lag: (min: 5.0, avg: 9.5, max: 69.0) +[2026-06-04 07:02:48,421][65146] Avg episode reward: [(0, '7074.950')] +[2026-06-04 07:02:49,786][75030] Updated weights for policy 0, policy_version 36000 (0.0013) +[2026-06-04 07:02:53,140][75030] Updated weights for policy 0, policy_version 36064 (0.0015) +[2026-06-04 07:02:53,421][65146] Fps is (10 sec: 9011.1, 60 sec: 10239.9, 300 sec: 9969.2). Total num frames: 18472960. Throughput: 0: 9898.6. Samples: 18457088. Policy #0 lag: (min: 13.0, avg: 17.5, max: 77.0) +[2026-06-04 07:02:53,422][65146] Avg episode reward: [(0, '7239.450')] +[2026-06-04 07:02:53,547][74443] Saving new best policy, reward=7239.450! +[2026-06-04 07:02:56,738][75030] Updated weights for policy 0, policy_version 36145 (0.0014) +[2026-06-04 07:02:58,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9941.5). Total num frames: 18513920. Throughput: 0: 9887.3. Samples: 18515456. Policy #0 lag: (min: 13.0, avg: 17.5, max: 77.0) +[2026-06-04 07:02:58,421][65146] Avg episode reward: [(0, '7279.050')] +[2026-06-04 07:02:58,426][74443] Saving new best policy, reward=7279.050! +[2026-06-04 07:03:00,064][75030] Updated weights for policy 0, policy_version 36211 (0.0013) +[2026-06-04 07:03:03,373][74443] Signal inference workers to stop experience collection... (1700 times) +[2026-06-04 07:03:03,405][75030] InferenceWorker_p0-w0: stopping experience collection (1700 times) +[2026-06-04 07:03:03,420][65146] Fps is (10 sec: 9011.7, 60 sec: 10104.5, 300 sec: 9941.5). Total num frames: 18563072. Throughput: 0: 9841.9. Samples: 18574336. Policy #0 lag: (min: 13.0, avg: 17.5, max: 77.0) +[2026-06-04 07:03:03,421][65146] Avg episode reward: [(0, '7346.550')] +[2026-06-04 07:03:03,542][74443] Signal inference workers to resume experience collection... (1700 times) +[2026-06-04 07:03:03,542][75030] InferenceWorker_p0-w0: resuming experience collection (1700 times) +[2026-06-04 07:03:03,791][75030] Updated weights for policy 0, policy_version 36287 (0.0013) +[2026-06-04 07:03:03,796][74443] Saving new best policy, reward=7346.550! +[2026-06-04 07:03:08,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9913.7). Total num frames: 18612224. Throughput: 0: 9841.8. Samples: 18603008. Policy #0 lag: (min: 13.0, avg: 17.5, max: 77.0) +[2026-06-04 07:03:08,421][65146] Avg episode reward: [(0, '7419.150')] +[2026-06-04 07:03:08,425][74443] Saving new best policy, reward=7419.150! +[2026-06-04 07:03:09,884][75030] Updated weights for policy 0, policy_version 36354 (0.0013) +[2026-06-04 07:03:10,617][75030] Updated weights for policy 0, policy_version 36416 (0.0015) +[2026-06-04 07:03:13,420][65146] Fps is (10 sec: 9010.9, 60 sec: 9693.8, 300 sec: 9913.7). Total num frames: 18653184. Throughput: 0: 9762.1. Samples: 18659840. Policy #0 lag: (min: 13.0, avg: 17.5, max: 77.0) +[2026-06-04 07:03:13,422][65146] Avg episode reward: [(0, '7354.350')] +[2026-06-04 07:03:16,871][75030] Updated weights for policy 0, policy_version 36512 (0.0015) +[2026-06-04 07:03:18,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 18710528. Throughput: 0: 9682.4. Samples: 18718208. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 07:03:18,421][65146] Avg episode reward: [(0, '7392.100')] +[2026-06-04 07:03:20,354][75030] Updated weights for policy 0, policy_version 36592 (0.0011) +[2026-06-04 07:03:23,421][65146] Fps is (10 sec: 9011.3, 60 sec: 9557.3, 300 sec: 9885.9). Total num frames: 18743296. Throughput: 0: 9636.9. Samples: 18747392. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 07:03:23,422][65146] Avg episode reward: [(0, '7477.850')] +[2026-06-04 07:03:23,652][74443] Saving results/checkpoints_factor_sweeps/demon_attack/context_window/demon_attack_frame_stack_fixed_l4_fs4_seed11/checkpoint_p0/checkpoint_000036640_18759680.pth... +[2026-06-04 07:03:23,693][74443] Saving new best policy, reward=7477.850! +[2026-06-04 07:03:24,044][75030] Updated weights for policy 0, policy_version 36665 (0.0013) +[2026-06-04 07:03:27,624][75030] Updated weights for policy 0, policy_version 36736 (0.0012) +[2026-06-04 07:03:28,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 18808832. Throughput: 0: 9625.6. Samples: 18806272. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 07:03:28,422][65146] Avg episode reward: [(0, '7377.700')] +[2026-06-04 07:03:33,420][65146] Fps is (10 sec: 9830.7, 60 sec: 9420.8, 300 sec: 9885.9). Total num frames: 18841600. Throughput: 0: 9648.4. Samples: 18864128. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 07:03:33,421][65146] Avg episode reward: [(0, '7417.500')] +[2026-06-04 07:03:33,856][75030] Updated weights for policy 0, policy_version 36832 (0.0013) +[2026-06-04 07:03:37,326][75030] Updated weights for policy 0, policy_version 36915 (0.0014) +[2026-06-04 07:03:38,420][65146] Fps is (10 sec: 9830.7, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 18907136. Throughput: 0: 9705.3. Samples: 18893824. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 07:03:38,421][65146] Avg episode reward: [(0, '7453.650')] +[2026-06-04 07:03:40,911][75030] Updated weights for policy 0, policy_version 36986 (0.0012) +[2026-06-04 07:03:43,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9284.3, 300 sec: 9885.9). Total num frames: 18939904. Throughput: 0: 9671.2. Samples: 18950656. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 07:03:43,421][65146] Avg episode reward: [(0, '7249.750')] +[2026-06-04 07:03:44,435][75030] Updated weights for policy 0, policy_version 37056 (0.0014) +[2026-06-04 07:03:48,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9941.5). Total num frames: 19005440. Throughput: 0: 9671.1. Samples: 19009536. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 07:03:48,421][65146] Avg episode reward: [(0, '7261.000')] +[2026-06-04 07:03:50,731][75030] Updated weights for policy 0, policy_version 37152 (0.0012) +[2026-06-04 07:03:53,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9420.9, 300 sec: 9885.9). Total num frames: 19038208. Throughput: 0: 9693.9. Samples: 19039232. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 07:03:53,421][65146] Avg episode reward: [(0, '7279.800')] +[2026-06-04 07:03:54,428][75030] Updated weights for policy 0, policy_version 37232 (0.0012) +[2026-06-04 07:03:57,689][75030] Updated weights for policy 0, policy_version 37299 (0.0012) +[2026-06-04 07:03:58,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9913.7). Total num frames: 19103744. Throughput: 0: 9728.0. Samples: 19097600. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 07:03:58,421][65146] Avg episode reward: [(0, '7458.100')] +[2026-06-04 07:04:00,787][74443] Signal inference workers to stop experience collection... (1750 times) +[2026-06-04 07:04:00,817][75030] InferenceWorker_p0-w0: stopping experience collection (1750 times) +[2026-06-04 07:04:00,927][74443] Signal inference workers to resume experience collection... (1750 times) +[2026-06-04 07:04:00,928][75030] InferenceWorker_p0-w0: resuming experience collection (1750 times) +[2026-06-04 07:04:01,219][75030] Updated weights for policy 0, policy_version 37364 (0.0012) +[2026-06-04 07:04:03,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9557.3, 300 sec: 9885.9). Total num frames: 19136512. Throughput: 0: 9705.3. Samples: 19154944. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 07:04:03,421][65146] Avg episode reward: [(0, '7392.300')] +[2026-06-04 07:04:04,371][75030] Updated weights for policy 0, policy_version 37424 (0.0011) +[2026-06-04 07:04:08,045][75030] Updated weights for policy 0, policy_version 37495 (0.0016) +[2026-06-04 07:04:08,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 19202048. Throughput: 0: 9671.1. Samples: 19182592. Policy #0 lag: (min: 29.0, avg: 33.9, max: 93.0) +[2026-06-04 07:04:08,422][65146] Avg episode reward: [(0, '7395.450')] +[2026-06-04 07:04:11,339][75030] Updated weights for policy 0, policy_version 37558 (0.0012) +[2026-06-04 07:04:13,420][65146] Fps is (10 sec: 9830.1, 60 sec: 9693.9, 300 sec: 9885.9). Total num frames: 19234816. Throughput: 0: 9648.4. Samples: 19240448. Policy #0 lag: (min: 29.0, avg: 33.9, max: 93.0) +[2026-06-04 07:04:13,422][65146] Avg episode reward: [(0, '7553.100')] +[2026-06-04 07:04:13,428][74443] Saving new best policy, reward=7553.100! +[2026-06-04 07:04:14,536][75030] Updated weights for policy 0, policy_version 37632 (0.0014) +[2026-06-04 07:04:18,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 19300352. Throughput: 0: 9796.2. Samples: 19304960. Policy #0 lag: (min: 29.0, avg: 33.9, max: 93.0) +[2026-06-04 07:04:18,421][65146] Avg episode reward: [(0, '7599.850')] +[2026-06-04 07:04:18,427][74443] Saving new best policy, reward=7599.850! +[2026-06-04 07:04:20,267][75030] Updated weights for policy 0, policy_version 37712 (0.0013) +[2026-06-04 07:04:23,420][65146] Fps is (10 sec: 9830.8, 60 sec: 9830.5, 300 sec: 9885.9). Total num frames: 19333120. Throughput: 0: 9796.3. Samples: 19334656. Policy #0 lag: (min: 29.0, avg: 33.9, max: 93.0) +[2026-06-04 07:04:23,421][65146] Avg episode reward: [(0, '7718.450')] +[2026-06-04 07:04:23,624][75030] Updated weights for policy 0, policy_version 37776 (0.0010) +[2026-06-04 07:04:23,804][74443] Saving new best policy, reward=7718.450! +[2026-06-04 07:04:26,810][75030] Updated weights for policy 0, policy_version 37840 (0.0014) +[2026-06-04 07:04:28,420][65146] Fps is (10 sec: 9830.6, 60 sec: 9830.5, 300 sec: 9885.9). Total num frames: 19398656. Throughput: 0: 9932.8. Samples: 19397632. Policy #0 lag: (min: 29.0, avg: 33.9, max: 93.0) +[2026-06-04 07:04:28,421][65146] Avg episode reward: [(0, '7863.150')] +[2026-06-04 07:04:28,424][74443] Saving new best policy, reward=7863.150! +[2026-06-04 07:04:30,108][75030] Updated weights for policy 0, policy_version 37904 (0.0012) +[2026-06-04 07:04:33,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 19431424. Throughput: 0: 9932.8. Samples: 19456512. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 07:04:33,421][65146] Avg episode reward: [(0, '8098.150')] +[2026-06-04 07:04:33,639][74443] Saving new best policy, reward=8098.150! +[2026-06-04 07:04:33,642][75030] Updated weights for policy 0, policy_version 37984 (0.0014) +[2026-06-04 07:04:37,165][75030] Updated weights for policy 0, policy_version 38064 (0.0016) +[2026-06-04 07:04:38,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9913.7). Total num frames: 19496960. Throughput: 0: 9921.4. Samples: 19485696. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 07:04:38,421][65146] Avg episode reward: [(0, '8182.300')] +[2026-06-04 07:04:38,425][74443] Saving new best policy, reward=8182.300! +[2026-06-04 07:04:40,408][75030] Updated weights for policy 0, policy_version 38113 (0.0015) +[2026-06-04 07:04:43,420][65146] Fps is (10 sec: 10649.4, 60 sec: 9966.9, 300 sec: 9913.7). Total num frames: 19537920. Throughput: 0: 9932.8. Samples: 19544576. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 07:04:43,422][65146] Avg episode reward: [(0, '8260.200')] +[2026-06-04 07:04:43,595][74443] Saving new best policy, reward=8260.200! +[2026-06-04 07:04:43,860][75030] Updated weights for policy 0, policy_version 38205 (0.0012) +[2026-06-04 07:04:46,947][75030] Updated weights for policy 0, policy_version 38272 (0.0014) +[2026-06-04 07:04:48,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 19595264. Throughput: 0: 10069.3. Samples: 19608064. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 07:04:48,422][65146] Avg episode reward: [(0, '8224.450')] +[2026-06-04 07:04:52,617][75030] Updated weights for policy 0, policy_version 38352 (0.0019) +[2026-06-04 07:04:53,420][65146] Fps is (10 sec: 12288.1, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 19660800. Throughput: 0: 10126.2. Samples: 19638272. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 07:04:53,421][65146] Avg episode reward: [(0, '8130.700')] +[2026-06-04 07:04:55,598][74443] Signal inference workers to stop experience collection... (1800 times) +[2026-06-04 07:04:55,638][75030] InferenceWorker_p0-w0: stopping experience collection (1800 times) +[2026-06-04 07:04:55,771][74443] Signal inference workers to resume experience collection... (1800 times) +[2026-06-04 07:04:55,773][75030] InferenceWorker_p0-w0: resuming experience collection (1800 times) +[2026-06-04 07:04:55,933][75030] Updated weights for policy 0, policy_version 38432 (0.0013) +[2026-06-04 07:04:58,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 19693568. Throughput: 0: 10228.7. Samples: 19700736. Policy #0 lag: (min: 15.0, avg: 19.8, max: 79.0) +[2026-06-04 07:04:58,421][65146] Avg episode reward: [(0, '8150.600')] +[2026-06-04 07:04:59,505][75030] Updated weights for policy 0, policy_version 38517 (0.0016) +[2026-06-04 07:05:02,696][75030] Updated weights for policy 0, policy_version 38582 (0.0016) +[2026-06-04 07:05:03,420][65146] Fps is (10 sec: 9830.7, 60 sec: 10376.6, 300 sec: 9997.0). Total num frames: 19759104. Throughput: 0: 10160.4. Samples: 19762176. Policy #0 lag: (min: 15.0, avg: 19.8, max: 79.0) +[2026-06-04 07:05:03,421][65146] Avg episode reward: [(0, '8066.750')] +[2026-06-04 07:05:05,980][75030] Updated weights for policy 0, policy_version 38651 (0.0011) +[2026-06-04 07:05:08,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 19791872. Throughput: 0: 10194.4. Samples: 19793408. Policy #0 lag: (min: 15.0, avg: 19.8, max: 79.0) +[2026-06-04 07:05:08,422][65146] Avg episode reward: [(0, '8224.150')] +[2026-06-04 07:05:09,666][75030] Updated weights for policy 0, policy_version 38720 (0.0012) +[2026-06-04 07:05:13,420][65146] Fps is (10 sec: 9830.0, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 19857408. Throughput: 0: 10126.2. Samples: 19853312. Policy #0 lag: (min: 15.0, avg: 19.8, max: 79.0) +[2026-06-04 07:05:13,422][65146] Avg episode reward: [(0, '8331.900')] +[2026-06-04 07:05:13,426][74443] Saving new best policy, reward=8331.900! +[2026-06-04 07:05:15,677][75030] Updated weights for policy 0, policy_version 38800 (0.0015) +[2026-06-04 07:05:18,421][65146] Fps is (10 sec: 9829.8, 60 sec: 9830.3, 300 sec: 9885.9). Total num frames: 19890176. Throughput: 0: 10057.8. Samples: 19909120. Policy #0 lag: (min: 15.0, avg: 19.8, max: 79.0) +[2026-06-04 07:05:18,423][65146] Avg episode reward: [(0, '8202.900')] +[2026-06-04 07:05:19,243][75030] Updated weights for policy 0, policy_version 38880 (0.0010) +[2026-06-04 07:05:22,533][75030] Updated weights for policy 0, policy_version 38944 (0.0013) +[2026-06-04 07:05:23,420][65146] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 19955712. Throughput: 0: 10057.9. Samples: 19938304. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 07:05:23,422][65146] Avg episode reward: [(0, '8188.750')] +[2026-06-04 07:05:25,886][75030] Updated weights for policy 0, policy_version 39027 (0.0016) +[2026-06-04 07:05:28,420][65146] Fps is (10 sec: 9831.0, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 19988480. Throughput: 0: 10092.1. Samples: 19998720. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 07:05:28,422][65146] Avg episode reward: [(0, '8119.800')] +[2026-06-04 07:05:29,313][75030] Updated weights for policy 0, policy_version 39094 (0.0015) +[2026-06-04 07:05:32,601][75030] Updated weights for policy 0, policy_version 39162 (0.0012) +[2026-06-04 07:05:33,420][65146] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 9997.0). Total num frames: 20054016. Throughput: 0: 9978.3. Samples: 20057088. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 07:05:33,422][65146] Avg episode reward: [(0, '8042.150')] +[2026-06-04 07:05:35,833][75030] Updated weights for policy 0, policy_version 39232 (0.0012) +[2026-06-04 07:05:38,420][65146] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 20086784. Throughput: 0: 10001.1. Samples: 20088320. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 07:05:38,421][65146] Avg episode reward: [(0, '8028.600')] +[2026-06-04 07:05:41,690][75030] Updated weights for policy 0, policy_version 39312 (0.0014) +[2026-06-04 07:05:43,420][65146] Fps is (10 sec: 9830.5, 60 sec: 10240.0, 300 sec: 9997.0). Total num frames: 20152320. Throughput: 0: 10046.6. Samples: 20152832. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 07:05:43,422][65146] Avg episode reward: [(0, '8205.100')] +[2026-06-04 07:05:45,163][75030] Updated weights for policy 0, policy_version 39392 (0.0013) +[2026-06-04 07:05:48,420][65146] Fps is (10 sec: 10649.2, 60 sec: 9966.9, 300 sec: 9913.7). Total num frames: 20193280. Throughput: 0: 10012.3. Samples: 20212736. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 07:05:48,422][65146] Avg episode reward: [(0, '8275.600')] +[2026-06-04 07:05:48,437][74443] Signal inference workers to stop experience collection... (1850 times) +[2026-06-04 07:05:48,468][75030] InferenceWorker_p0-w0: stopping experience collection (1850 times) +[2026-06-04 07:05:48,609][74443] Signal inference workers to resume experience collection... (1850 times) +[2026-06-04 07:05:48,610][75030] InferenceWorker_p0-w0: resuming experience collection (1850 times) +[2026-06-04 07:05:48,612][75030] Updated weights for policy 0, policy_version 39472 (0.0012) +[2026-06-04 07:05:52,124][75030] Updated weights for policy 0, policy_version 39542 (0.0015) +[2026-06-04 07:05:53,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 20250624. Throughput: 0: 9944.2. Samples: 20240896. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 07:05:53,421][65146] Avg episode reward: [(0, '8301.050')] +[2026-06-04 07:05:58,420][65146] Fps is (10 sec: 9011.6, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 20283392. Throughput: 0: 9864.6. Samples: 20297216. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 07:05:58,421][65146] Avg episode reward: [(0, '8330.950')] +[2026-06-04 07:05:58,538][75030] Updated weights for policy 0, policy_version 39632 (0.0013) +[2026-06-04 07:06:01,802][75030] Updated weights for policy 0, policy_version 39696 (0.0014) +[2026-06-04 07:06:03,420][65146] Fps is (10 sec: 9830.1, 60 sec: 9830.3, 300 sec: 9997.0). Total num frames: 20348928. Throughput: 0: 9910.1. Samples: 20355072. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 07:06:03,422][65146] Avg episode reward: [(0, '8323.850')] +[2026-06-04 07:06:05,499][75030] Updated weights for policy 0, policy_version 39792 (0.0012) +[2026-06-04 07:06:08,421][65146] Fps is (10 sec: 9829.8, 60 sec: 9830.3, 300 sec: 9885.9). Total num frames: 20381696. Throughput: 0: 9921.4. Samples: 20384768. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 07:06:08,422][65146] Avg episode reward: [(0, '8347.100')] +[2026-06-04 07:06:08,638][74443] Saving new best policy, reward=8347.100! +[2026-06-04 07:06:09,000][75030] Updated weights for policy 0, policy_version 39864 (0.0012) +[2026-06-04 07:06:12,446][75030] Updated weights for policy 0, policy_version 39932 (0.0019) +[2026-06-04 07:06:13,420][65146] Fps is (10 sec: 9830.8, 60 sec: 9830.4, 300 sec: 9997.0). Total num frames: 20447232. Throughput: 0: 9944.2. Samples: 20446208. Policy #0 lag: (min: 15.0, avg: 19.2, max: 79.0) +[2026-06-04 07:06:13,421][65146] Avg episode reward: [(0, '8306.800')] +[2026-06-04 07:06:15,731][75030] Updated weights for policy 0, policy_version 39998 (0.0014) +[2026-06-04 07:06:18,421][65146] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 20480000. Throughput: 0: 9955.5. Samples: 20505088. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 07:06:18,422][65146] Avg episode reward: [(0, '8248.450')] +[2026-06-04 07:06:21,766][75030] Updated weights for policy 0, policy_version 40080 (0.0015) +[2026-06-04 07:06:23,422][65146] Fps is (10 sec: 9828.9, 60 sec: 9830.2, 300 sec: 9941.4). Total num frames: 20545536. Throughput: 0: 9875.6. Samples: 20532736. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 07:06:23,427][65146] Avg episode reward: [(0, '8136.300')] +[2026-06-04 07:06:25,448][75030] Updated weights for policy 0, policy_version 40176 (0.0014) +[2026-06-04 07:06:28,420][65146] Fps is (10 sec: 9831.0, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 20578304. Throughput: 0: 9716.7. Samples: 20590080. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 07:06:28,421][65146] Avg episode reward: [(0, '8189.000')] +[2026-06-04 07:06:29,119][75030] Updated weights for policy 0, policy_version 40242 (0.0012) +[2026-06-04 07:06:32,564][75030] Updated weights for policy 0, policy_version 40311 (0.0015) +[2026-06-04 07:06:33,420][65146] Fps is (10 sec: 9831.6, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 20643840. Throughput: 0: 9659.7. Samples: 20647424. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 07:06:33,422][65146] Avg episode reward: [(0, '7940.700')] +[2026-06-04 07:06:36,067][75030] Updated weights for policy 0, policy_version 40379 (0.0015) +[2026-06-04 07:06:38,420][65146] Fps is (10 sec: 9830.4, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 20676608. Throughput: 0: 9705.3. Samples: 20677632. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-04 07:06:38,421][65146] Avg episode reward: [(0, '8038.250')] +[2026-06-04 07:06:39,329][75030] Updated weights for policy 0, policy_version 40446 (0.0013) +[2026-06-04 07:06:43,420][65146] Fps is (10 sec: 9830.7, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 20742144. Throughput: 0: 9807.6. Samples: 20738560. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) +[2026-06-04 07:06:43,421][65146] Avg episode reward: [(0, '7928.200')] +[2026-06-04 07:06:45,350][74443] Signal inference workers to stop experience collection... (1900 times) +[2026-06-04 07:06:45,380][75030] InferenceWorker_p0-w0: stopping experience collection (1900 times) +[2026-06-04 07:06:45,397][75030] Updated weights for policy 0, policy_version 40529 (0.0014) +[2026-06-04 07:06:45,526][74443] Signal inference workers to resume experience collection... (1900 times) +[2026-06-04 07:06:45,527][75030] InferenceWorker_p0-w0: resuming experience collection (1900 times) +[2026-06-04 07:06:48,326][75030] Updated weights for policy 0, policy_version 40592 (0.0015) +[2026-06-04 07:06:48,420][65146] Fps is (10 sec: 10649.5, 60 sec: 9830.4, 300 sec: 9913.7). Total num frames: 20783104. Throughput: 0: 9910.1. Samples: 20801024. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) +[2026-06-04 07:06:48,421][65146] Avg episode reward: [(0, '7886.850')] +[2026-06-04 07:06:51,539][75030] Updated weights for policy 0, policy_version 40656 (0.0013) +[2026-06-04 07:06:53,420][65146] Fps is (10 sec: 9830.6, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 20840448. Throughput: 0: 9944.3. Samples: 20832256. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) +[2026-06-04 07:06:53,421][65146] Avg episode reward: [(0, '7888.350')] +[2026-06-04 07:06:55,194][75030] Updated weights for policy 0, policy_version 40752 (0.0013) +[2026-06-04 07:06:58,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9966.9, 300 sec: 9913.9). Total num frames: 20881408. Throughput: 0: 9830.3. Samples: 20888576. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) +[2026-06-04 07:06:58,422][65146] Avg episode reward: [(0, '7799.150')] +[2026-06-04 07:06:58,558][75030] Updated weights for policy 0, policy_version 40816 (0.0011) +[2026-06-04 07:07:01,734][75030] Updated weights for policy 0, policy_version 40886 (0.0013) +[2026-06-04 07:07:03,421][65146] Fps is (10 sec: 9829.8, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 20938752. Throughput: 0: 9910.1. Samples: 20951040. Policy #0 lag: (min: 15.0, avg: 20.0, max: 79.0) +[2026-06-04 07:07:03,424][65146] Avg episode reward: [(0, '7737.500')] +[2026-06-04 07:07:04,953][75030] Updated weights for policy 0, policy_version 40956 (0.0013) +[2026-06-04 07:07:08,413][75030] Updated weights for policy 0, policy_version 41024 (0.0014) +[2026-06-04 07:07:08,421][65146] Fps is (10 sec: 12287.9, 60 sec: 10376.6, 300 sec: 9941.5). Total num frames: 21004288. Throughput: 0: 10001.3. Samples: 20982784. Policy #0 lag: (min: 47.0, avg: 50.5, max: 111.0) +[2026-06-04 07:07:08,424][65146] Avg episode reward: [(0, '7839.500')] +[2026-06-04 07:07:13,420][65146] Fps is (10 sec: 9830.8, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 21037056. Throughput: 0: 10035.2. Samples: 21041664. Policy #0 lag: (min: 47.0, avg: 50.5, max: 111.0) +[2026-06-04 07:07:13,421][65146] Avg episode reward: [(0, '7949.400')] +[2026-06-04 07:07:14,379][75030] Updated weights for policy 0, policy_version 41104 (0.0014) +[2026-06-04 07:07:17,564][75030] Updated weights for policy 0, policy_version 41184 (0.0012) +[2026-06-04 07:07:18,420][65146] Fps is (10 sec: 9830.8, 60 sec: 10376.6, 300 sec: 9941.5). Total num frames: 21102592. Throughput: 0: 10149.1. Samples: 21104128. Policy #0 lag: (min: 47.0, avg: 50.5, max: 111.0) +[2026-06-04 07:07:18,421][65146] Avg episode reward: [(0, '8057.700')] +[2026-06-04 07:07:20,868][75030] Updated weights for policy 0, policy_version 41264 (0.0014) +[2026-06-04 07:07:23,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9830.6, 300 sec: 9885.9). Total num frames: 21135360. Throughput: 0: 10205.8. Samples: 21136896. Policy #0 lag: (min: 47.0, avg: 50.5, max: 111.0) +[2026-06-04 07:07:23,422][65146] Avg episode reward: [(0, '8161.700')] +[2026-06-04 07:07:24,277][75030] Updated weights for policy 0, policy_version 41333 (0.0014) +[2026-06-04 07:07:27,681][75030] Updated weights for policy 0, policy_version 41402 (0.0012) +[2026-06-04 07:07:28,420][65146] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 9913.7). Total num frames: 21200896. Throughput: 0: 10183.1. Samples: 21196800. Policy #0 lag: (min: 47.0, avg: 50.5, max: 111.0) +[2026-06-04 07:07:28,422][65146] Avg episode reward: [(0, '8152.950')] +[2026-06-04 07:07:31,124][75030] Updated weights for policy 0, policy_version 41470 (0.0016) +[2026-06-04 07:07:33,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 21233664. Throughput: 0: 10103.4. Samples: 21255680. Policy #0 lag: (min: 47.0, avg: 50.5, max: 111.0) +[2026-06-04 07:07:33,421][65146] Avg episode reward: [(0, '8408.700')] +[2026-06-04 07:07:33,427][74443] Saving new best policy, reward=8408.700! +[2026-06-04 07:07:37,200][75030] Updated weights for policy 0, policy_version 41568 (0.0017) +[2026-06-04 07:07:38,420][65146] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 9885.9). Total num frames: 21299200. Throughput: 0: 10046.5. Samples: 21284352. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 07:07:38,421][65146] Avg episode reward: [(0, '8512.900')] +[2026-06-04 07:07:38,425][74443] Saving new best policy, reward=8512.900! +[2026-06-04 07:07:40,311][74443] Signal inference workers to stop experience collection... (1950 times) +[2026-06-04 07:07:40,341][75030] InferenceWorker_p0-w0: stopping experience collection (1950 times) +[2026-06-04 07:07:40,479][74443] Signal inference workers to resume experience collection... (1950 times) +[2026-06-04 07:07:40,480][75030] InferenceWorker_p0-w0: resuming experience collection (1950 times) +[2026-06-04 07:07:40,906][75030] Updated weights for policy 0, policy_version 41652 (0.0014) +[2026-06-04 07:07:43,420][65146] Fps is (10 sec: 9830.8, 60 sec: 9830.4, 300 sec: 9886.0). Total num frames: 21331968. Throughput: 0: 10058.0. Samples: 21341184. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 07:07:43,420][65146] Avg episode reward: [(0, '8510.700')] +[2026-06-04 07:07:44,550][75030] Updated weights for policy 0, policy_version 41725 (0.0013) +[2026-06-04 07:07:48,420][65146] Fps is (10 sec: 9830.6, 60 sec: 10240.0, 300 sec: 9913.7). Total num frames: 21397504. Throughput: 0: 10001.2. Samples: 21401088. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 07:07:48,422][65146] Avg episode reward: [(0, '8868.000')] +[2026-06-04 07:07:48,427][74443] Saving new best policy, reward=8868.000! +[2026-06-04 07:07:50,359][75030] Updated weights for policy 0, policy_version 41808 (0.0013) +[2026-06-04 07:07:53,420][65146] Fps is (10 sec: 9830.2, 60 sec: 9830.4, 300 sec: 9885.9). Total num frames: 21430272. Throughput: 0: 9989.8. Samples: 21432320. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 07:07:53,421][65146] Avg episode reward: [(0, '8802.350')] +[2026-06-04 07:07:53,570][75030] Updated weights for policy 0, policy_version 41872 (0.0019) +[2026-06-04 07:07:56,870][75030] Updated weights for policy 0, policy_version 41952 (0.0016) +[2026-06-04 07:07:58,420][65146] Fps is (10 sec: 9830.5, 60 sec: 10240.1, 300 sec: 9941.5). Total num frames: 21495808. Throughput: 0: 10114.9. Samples: 21496832. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 07:07:58,421][65146] Avg episode reward: [(0, '8773.850')] +[2026-06-04 07:07:59,985][75030] Updated weights for policy 0, policy_version 42019 (0.0013) +[2026-06-04 07:08:02,802][75030] Updated weights for policy 0, policy_version 42097 (0.0011) +[2026-06-04 07:08:03,420][65146] Fps is (10 sec: 13107.3, 60 sec: 10376.6, 300 sec: 9997.0). Total num frames: 21561344. Throughput: 0: 10194.5. Samples: 21562880. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-04 07:08:03,421][65146] Avg episode reward: [(0, '8942.050')] +[2026-06-04 07:08:03,428][74443] Saving new best policy, reward=8942.050! +[2026-06-04 07:08:05,438][75030] Updated weights for policy 0, policy_version 42166 (0.0013) +[2026-06-04 07:08:08,250][75030] Updated weights for policy 0, policy_version 42233 (0.0014) +[2026-06-04 07:08:08,420][65146] Fps is (10 sec: 13107.2, 60 sec: 10376.6, 300 sec: 10080.3). Total num frames: 21626880. Throughput: 0: 10285.6. Samples: 21599744. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 07:08:08,421][65146] Avg episode reward: [(0, '8853.500')] +[2026-06-04 07:08:10,908][75030] Updated weights for policy 0, policy_version 42300 (0.0015) +[2026-06-04 07:08:13,420][65146] Fps is (10 sec: 11468.7, 60 sec: 10649.6, 300 sec: 10052.6). Total num frames: 21676032. Throughput: 0: 10592.7. Samples: 21673472. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 07:08:13,421][65146] Avg episode reward: [(0, '8945.400')] +[2026-06-04 07:08:13,784][74443] Saving new best policy, reward=8945.400! +[2026-06-04 07:08:15,928][75030] Updated weights for policy 0, policy_version 42384 (0.0012) +[2026-06-04 07:08:18,420][65146] Fps is (10 sec: 9830.1, 60 sec: 10376.5, 300 sec: 10108.1). Total num frames: 21725184. Throughput: 0: 10899.9. Samples: 21746176. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 07:08:18,422][65146] Avg episode reward: [(0, '8691.750')] +[2026-06-04 07:08:18,570][75030] Updated weights for policy 0, policy_version 42448 (0.0012) +[2026-06-04 07:08:21,517][75030] Updated weights for policy 0, policy_version 42529 (0.0012) +[2026-06-04 07:08:23,420][65146] Fps is (10 sec: 11468.8, 60 sec: 10922.7, 300 sec: 10108.1). Total num frames: 21790720. Throughput: 0: 11093.4. Samples: 21783552. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 07:08:23,421][65146] Avg episode reward: [(0, '8709.450')] +[2026-06-04 07:08:24,205][75030] Updated weights for policy 0, policy_version 42608 (0.0016) +[2026-06-04 07:08:26,732][74443] Signal inference workers to stop experience collection... (2000 times) +[2026-06-04 07:08:26,766][75030] InferenceWorker_p0-w0: stopping experience collection (2000 times) +[2026-06-04 07:08:26,872][74443] Signal inference workers to resume experience collection... (2000 times) +[2026-06-04 07:08:26,873][75030] InferenceWorker_p0-w0: resuming experience collection (2000 times) +[2026-06-04 07:08:26,987][75030] Updated weights for policy 0, policy_version 42678 (0.0017) +[2026-06-04 07:08:28,420][65146] Fps is (10 sec: 13107.2, 60 sec: 10922.7, 300 sec: 10219.2). Total num frames: 21856256. Throughput: 0: 11457.3. Samples: 21856768. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-04 07:08:28,422][65146] Avg episode reward: [(0, '8768.300')] +[2026-06-04 07:08:29,609][75030] Updated weights for policy 0, policy_version 42745 (0.0015) +[2026-06-04 07:08:32,164][75030] Updated weights for policy 0, policy_version 42807 (0.0011) +[2026-06-04 07:08:33,421][65146] Fps is (10 sec: 13106.8, 60 sec: 11468.8, 300 sec: 10219.2). Total num frames: 21921792. Throughput: 0: 11775.9. Samples: 21931008. Policy #0 lag: (min: 47.0, avg: 51.0, max: 111.0) +[2026-06-04 07:08:33,423][65146] Avg episode reward: [(0, '8700.200')] +[2026-06-04 07:08:35,023][75030] Updated weights for policy 0, policy_version 42878 (0.0011) +[2026-06-04 07:08:38,032][75030] Updated weights for policy 0, policy_version 42944 (0.0017) +[2026-06-04 07:08:38,420][65146] Fps is (10 sec: 13107.6, 60 sec: 11468.9, 300 sec: 10330.3). Total num frames: 21987328. Throughput: 0: 11832.9. Samples: 21964800. Policy #0 lag: (min: 47.0, avg: 51.0, max: 111.0) +[2026-06-04 07:08:38,421][65146] Avg episode reward: [(0, '8811.800')] +[2026-06-04 07:08:43,271][75030] Updated weights for policy 0, policy_version 43040 (0.0016) +[2026-06-04 07:08:43,420][65146] Fps is (10 sec: 12288.7, 60 sec: 11878.4, 300 sec: 10302.5). Total num frames: 22044672. Throughput: 0: 11923.9. Samples: 22033408. Policy #0 lag: (min: 47.0, avg: 51.0, max: 111.0) +[2026-06-04 07:08:43,420][65146] Avg episode reward: [(0, '8730.400')] +[2026-06-04 07:08:46,367][75030] Updated weights for policy 0, policy_version 43123 (0.0014) +[2026-06-04 07:08:48,420][65146] Fps is (10 sec: 9830.2, 60 sec: 11468.8, 300 sec: 10330.2). Total num frames: 22085632. Throughput: 0: 12060.4. Samples: 22105600. Policy #0 lag: (min: 47.0, avg: 51.0, max: 111.0) +[2026-06-04 07:08:48,421][65146] Avg episode reward: [(0, '8700.150')] +[2026-06-04 07:08:49,117][75030] Updated weights for policy 0, policy_version 43197 (0.0010) +[2026-06-04 07:08:51,841][75030] Updated weights for policy 0, policy_version 43264 (0.0014) +[2026-06-04 07:08:53,420][65146] Fps is (10 sec: 10649.5, 60 sec: 12015.0, 300 sec: 10330.3). Total num frames: 22151168. Throughput: 0: 12037.7. Samples: 22141440. Policy #0 lag: (min: 47.0, avg: 51.0, max: 111.0) +[2026-06-04 07:08:53,421][65146] Avg episode reward: [(0, '8727.850')] +[2026-06-04 07:08:56,692][75030] Updated weights for policy 0, policy_version 43344 (0.0011) +[2026-06-04 07:08:58,420][65146] Fps is (10 sec: 13107.4, 60 sec: 12014.9, 300 sec: 10441.3). Total num frames: 22216704. Throughput: 0: 12083.2. Samples: 22217216. Policy #0 lag: (min: 47.0, avg: 51.0, max: 111.0) +[2026-06-04 07:08:58,421][65146] Avg episode reward: [(0, '8912.400')] +[2026-06-04 07:08:59,449][75030] Updated weights for policy 0, policy_version 43424 (0.0014) +[2026-06-04 07:09:02,311][75030] Updated weights for policy 0, policy_version 43506 (0.0015) +[2026-06-04 07:09:03,420][65146] Fps is (10 sec: 13106.8, 60 sec: 12014.9, 300 sec: 10441.3). Total num frames: 22282240. Throughput: 0: 12049.1. Samples: 22288384. Policy #0 lag: (min: 31.0, avg: 35.5, max: 95.0) +[2026-06-04 07:09:03,422][65146] Avg episode reward: [(0, '9159.750')] +[2026-06-04 07:09:03,426][74443] Saving new best policy, reward=9159.750! +[2026-06-04 07:09:05,073][75030] Updated weights for policy 0, policy_version 43571 (0.0012) +[2026-06-04 07:09:07,750][75030] Updated weights for policy 0, policy_version 43642 (0.0012) +[2026-06-04 07:09:08,420][65146] Fps is (10 sec: 13107.2, 60 sec: 12014.9, 300 sec: 10552.4). Total num frames: 22347776. Throughput: 0: 12037.7. Samples: 22325248. Policy #0 lag: (min: 31.0, avg: 35.5, max: 95.0) +[2026-06-04 07:09:08,421][65146] Avg episode reward: [(0, '9200.350')] +[2026-06-04 07:09:08,426][74443] Saving new best policy, reward=9200.350! +[2026-06-04 07:09:12,696][74443] Signal inference workers to stop experience collection... (2050 times) +[2026-06-04 07:09:12,697][75030] Updated weights for policy 0, policy_version 43728 (0.0015) +[2026-06-04 07:09:12,729][75030] InferenceWorker_p0-w0: stopping experience collection (2050 times) +[2026-06-04 07:09:12,815][74443] Signal inference workers to resume experience collection... (2050 times) +[2026-06-04 07:09:12,816][75030] InferenceWorker_p0-w0: resuming experience collection (2050 times) +[2026-06-04 07:09:13,420][65146] Fps is (10 sec: 13107.5, 60 sec: 12288.0, 300 sec: 10552.4). Total num frames: 22413312. Throughput: 0: 12094.6. Samples: 22401024. Policy #0 lag: (min: 31.0, avg: 35.5, max: 95.0) +[2026-06-04 07:09:13,421][65146] Avg episode reward: [(0, '9414.350')] +[2026-06-04 07:09:13,425][74443] Saving new best policy, reward=9414.350! +[2026-06-04 07:09:15,373][75030] Updated weights for policy 0, policy_version 43810 (0.0013) +[2026-06-04 07:09:18,029][75030] Updated weights for policy 0, policy_version 43891 (0.0014) +[2026-06-04 07:09:18,420][65146] Fps is (10 sec: 13107.3, 60 sec: 12561.1, 300 sec: 10663.5). Total num frames: 22478848. Throughput: 0: 12174.4. Samples: 22478848. Policy #0 lag: (min: 31.0, avg: 35.5, max: 95.0) +[2026-06-04 07:09:18,421][65146] Avg episode reward: [(0, '9638.150')] +[2026-06-04 07:09:18,425][74443] Saving new best policy, reward=9638.150! +[2026-06-04 07:09:20,658][75030] Updated weights for policy 0, policy_version 43963 (0.0012) +[2026-06-04 07:09:23,420][65146] Fps is (10 sec: 12288.0, 60 sec: 12424.6, 300 sec: 10635.7). Total num frames: 22536192. Throughput: 0: 12197.0. Samples: 22513664. Policy #0 lag: (min: 31.0, avg: 35.5, max: 95.0) +[2026-06-04 07:09:23,421][65146] Avg episode reward: [(0, '9795.950')] +[2026-06-04 07:09:23,427][74443] Saving new best policy, reward=9795.950! +[2026-06-04 07:09:25,712][75030] Updated weights for policy 0, policy_version 44048 (0.0014) +[2026-06-04 07:09:28,421][65146] Fps is (10 sec: 9830.3, 60 sec: 12015.0, 300 sec: 10663.5). Total num frames: 22577152. Throughput: 0: 12288.0. Samples: 22586368. Policy #0 lag: (min: 31.0, avg: 35.5, max: 95.0) +[2026-06-04 07:09:28,423][65146] Avg episode reward: [(0, '9981.450')] +[2026-06-04 07:09:28,560][74443] Saving new best policy, reward=9981.450! +[2026-06-04 07:09:28,737][75030] Updated weights for policy 0, policy_version 44144 (0.0013) +[2026-06-04 07:09:31,565][75030] Updated weights for policy 0, policy_version 44209 (0.0015) +[2026-06-04 07:09:33,420][65146] Fps is (10 sec: 10649.7, 60 sec: 12015.0, 300 sec: 10663.5). Total num frames: 22642688. Throughput: 0: 12322.2. Samples: 22660096. Policy #0 lag: (min: 0.0, avg: 2.9, max: 64.0) +[2026-06-04 07:09:33,421][65146] Avg episode reward: [(0, '9960.350')] +[2026-06-04 07:09:34,272][75030] Updated weights for policy 0, policy_version 44279 (0.0012) +[2026-06-04 07:09:37,231][75030] Updated weights for policy 0, policy_version 44346 (0.0017) +[2026-06-04 07:09:38,420][65146] Fps is (10 sec: 13107.4, 60 sec: 12014.9, 300 sec: 10746.8). Total num frames: 22708224. Throughput: 0: 12310.8. Samples: 22695424. Policy #0 lag: (min: 0.0, avg: 2.9, max: 64.0) +[2026-06-04 07:09:38,421][65146] Avg episode reward: [(0, '9828.100')] +[2026-06-04 07:09:40,208][75030] Updated weights for policy 0, policy_version 44415 (0.0017) +[2026-06-04 07:09:43,420][65146] Fps is (10 sec: 13107.2, 60 sec: 12151.5, 300 sec: 10774.6). Total num frames: 22773760. Throughput: 0: 12083.2. Samples: 22760960. Policy #0 lag: (min: 0.0, avg: 2.9, max: 64.0) +[2026-06-04 07:09:43,421][65146] Avg episode reward: [(0, '9917.950')] +[2026-06-04 07:09:45,968][75030] Updated weights for policy 0, policy_version 44512 (0.0015) +[2026-06-04 07:09:48,420][65146] Fps is (10 sec: 9830.2, 60 sec: 12014.9, 300 sec: 10663.5). Total num frames: 22806528. Throughput: 0: 11901.2. Samples: 22823936. Policy #0 lag: (min: 0.0, avg: 2.9, max: 64.0) +[2026-06-04 07:09:48,421][65146] Avg episode reward: [(0, '10168.150')] +[2026-06-04 07:09:48,427][74443] Saving new best policy, reward=10168.150! +[2026-06-04 07:09:49,285][75030] Updated weights for policy 0, policy_version 44592 (0.0012) +[2026-06-04 07:09:52,676][75030] Updated weights for policy 0, policy_version 44670 (0.0013) +[2026-06-04 07:09:53,420][65146] Fps is (10 sec: 9830.4, 60 sec: 12014.9, 300 sec: 10774.6). Total num frames: 22872064. Throughput: 0: 11798.8. Samples: 22856192. Policy #0 lag: (min: 0.0, avg: 2.9, max: 64.0) +[2026-06-04 07:09:53,421][65146] Avg episode reward: [(0, '10154.150')] +[2026-06-04 07:09:55,969][75030] Updated weights for policy 0, policy_version 44736 (0.0012) +[2026-06-04 07:09:58,420][65146] Fps is (10 sec: 9830.4, 60 sec: 11468.8, 300 sec: 10663.5). Total num frames: 22904832. Throughput: 0: 11502.9. Samples: 22918656. Policy #0 lag: (min: 0.0, avg: 2.9, max: 64.0) +[2026-06-04 07:09:58,421][65146] Avg episode reward: [(0, '10192.700')] +[2026-06-04 07:09:58,427][74443] Saving new best policy, reward=10192.700! +[2026-06-04 07:10:01,703][74443] Signal inference workers to stop experience collection... (2100 times) +[2026-06-04 07:10:01,734][75030] InferenceWorker_p0-w0: stopping experience collection (2100 times) +[2026-06-04 07:10:01,910][74443] Signal inference workers to resume experience collection... (2100 times) +[2026-06-04 07:10:01,911][75030] InferenceWorker_p0-w0: resuming experience collection (2100 times) +[2026-06-04 07:10:01,915][75030] Updated weights for policy 0, policy_version 44816 (0.0012) +[2026-06-04 07:10:03,420][65146] Fps is (10 sec: 9830.2, 60 sec: 11468.8, 300 sec: 10774.6). Total num frames: 22970368. Throughput: 0: 11025.0. Samples: 22974976. Policy #0 lag: (min: 11.0, avg: 15.4, max: 75.0) +[2026-06-04 07:10:03,422][65146] Avg episode reward: [(0, '9887.750')] +[2026-06-04 07:10:05,436][75030] Updated weights for policy 0, policy_version 44896 (0.0017) +[2026-06-04 07:10:08,420][65146] Fps is (10 sec: 9830.4, 60 sec: 10922.6, 300 sec: 10663.5). Total num frames: 23003136. Throughput: 0: 10922.6. Samples: 23005184. Policy #0 lag: (min: 11.0, avg: 15.4, max: 75.0) +[2026-06-04 07:10:08,421][65146] Avg episode reward: [(0, '9616.250')] +[2026-06-04 07:10:08,963][75030] Updated weights for policy 0, policy_version 44977 (0.0016) +[2026-06-04 07:10:11,977][75030] Updated weights for policy 0, policy_version 45040 (0.0017) +[2026-06-04 07:10:13,421][65146] Fps is (10 sec: 9830.3, 60 sec: 10922.6, 300 sec: 10774.6). Total num frames: 23068672. Throughput: 0: 10740.6. Samples: 23069696. Policy #0 lag: (min: 11.0, avg: 15.4, max: 75.0) +[2026-06-04 07:10:13,423][65146] Avg episode reward: [(0, '9605.850')] +[2026-06-04 07:10:15,224][75030] Updated weights for policy 0, policy_version 45104 (0.0014) +[2026-06-04 07:10:18,420][65146] Fps is (10 sec: 12288.0, 60 sec: 10786.1, 300 sec: 10746.8). Total num frames: 23126016. Throughput: 0: 10433.4. Samples: 23129600. Policy #0 lag: (min: 11.0, avg: 15.4, max: 75.0) +[2026-06-04 07:10:18,422][65146] Avg episode reward: [(0, '9694.700')] +[2026-06-04 07:10:18,570][75030] Updated weights for policy 0, policy_version 45181 (0.0017) +[2026-06-04 07:10:21,853][75030] Updated weights for policy 0, policy_version 45248 (0.0013) +[2026-06-04 07:10:23,420][65146] Fps is (10 sec: 9830.5, 60 sec: 10513.0, 300 sec: 10774.6). Total num frames: 23166976. Throughput: 0: 10331.0. Samples: 23160320. Policy #0 lag: (min: 11.0, avg: 15.4, max: 75.0) +[2026-06-04 07:10:23,422][65146] Avg episode reward: [(0, '9863.800')] +[2026-06-04 07:10:27,598][75030] Updated weights for policy 0, policy_version 45328 (0.0014) +[2026-06-04 07:10:28,420][65146] Fps is (10 sec: 10649.7, 60 sec: 10922.7, 300 sec: 10774.6). Total num frames: 23232512. Throughput: 0: 10251.4. Samples: 23222272. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 07:10:28,421][65146] Avg episode reward: [(0, '10465.900')] +[2026-06-04 07:10:28,426][74443] Saving new best policy, reward=10465.900! +[2026-06-04 07:10:30,831][75030] Updated weights for policy 0, policy_version 45409 (0.0016) +[2026-06-04 07:10:33,420][65146] Fps is (10 sec: 9830.6, 60 sec: 10376.5, 300 sec: 10774.6). Total num frames: 23265280. Throughput: 0: 10217.3. Samples: 23283712. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 07:10:33,421][65146] Avg episode reward: [(0, '10315.000')] +[2026-06-04 07:10:34,278][75030] Updated weights for policy 0, policy_version 45496 (0.0017) +[2026-06-04 07:10:37,614][75030] Updated weights for policy 0, policy_version 45564 (0.0017) +[2026-06-04 07:10:38,420][65146] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10774.6). Total num frames: 23330816. Throughput: 0: 10240.0. Samples: 23316992. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 07:10:38,421][65146] Avg episode reward: [(0, '10338.900')] +[2026-06-04 07:10:40,772][75030] Updated weights for policy 0, policy_version 45626 (0.0014) +[2026-06-04 07:10:43,420][65146] Fps is (10 sec: 11468.6, 60 sec: 10103.4, 300 sec: 10802.3). Total num frames: 23379968. Throughput: 0: 10205.9. Samples: 23377920. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 07:10:43,421][65146] Avg episode reward: [(0, '10360.250')] +[2026-06-04 07:10:43,629][75030] Updated weights for policy 0, policy_version 45690 (0.0011) +[2026-06-04 07:10:46,715][75030] Updated weights for policy 0, policy_version 45755 (0.0015) +[2026-06-04 07:10:48,420][65146] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10774.6). Total num frames: 23429120. Throughput: 0: 10422.1. Samples: 23443968. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 07:10:48,421][65146] Avg episode reward: [(0, '10307.300')] +[2026-06-04 07:10:49,902][75030] Updated weights for policy 0, policy_version 45824 (0.0012) +[2026-06-04 07:10:52,625][74443] Signal inference workers to stop experience collection... (2150 times) +[2026-06-04 07:10:52,655][75030] InferenceWorker_p0-w0: stopping experience collection (2150 times) +[2026-06-04 07:10:52,790][74443] Signal inference workers to resume experience collection... (2150 times) +[2026-06-04 07:10:52,791][75030] InferenceWorker_p0-w0: resuming experience collection (2150 times) +[2026-06-04 07:10:53,420][65146] Fps is (10 sec: 11468.6, 60 sec: 10376.5, 300 sec: 10885.6). Total num frames: 23494656. Throughput: 0: 10467.5. Samples: 23476224. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 07:10:53,421][65146] Avg episode reward: [(0, '10768.900')] +[2026-06-04 07:10:53,429][74443] Saving new best policy, reward=10768.900! +[2026-06-04 07:10:55,675][75030] Updated weights for policy 0, policy_version 45904 (0.0014) +[2026-06-04 07:10:58,420][65146] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10774.6). Total num frames: 23527424. Throughput: 0: 10331.1. Samples: 23534592. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-04 07:10:58,422][65146] Avg episode reward: [(0, '10735.450')] +[2026-06-04 07:10:59,151][75030] Updated weights for policy 0, policy_version 45984 (0.0014) +[2026-06-04 07:11:02,306][75030] Updated weights for policy 0, policy_version 46048 (0.0015) +[2026-06-04 07:11:03,420][65146] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10885.7). Total num frames: 23592960. Throughput: 0: 10387.9. Samples: 23597056. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 07:11:03,422][65146] Avg episode reward: [(0, '10748.150')] +[2026-06-04 07:11:05,210][75030] Updated weights for policy 0, policy_version 46112 (0.0015) +[2026-06-04 07:11:08,420][65146] Fps is (10 sec: 10649.5, 60 sec: 10513.1, 300 sec: 10802.3). Total num frames: 23633920. Throughput: 0: 10422.0. Samples: 23629312. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 07:11:08,421][65146] Avg episode reward: [(0, '10791.450')] +[2026-06-04 07:11:08,690][75030] Updated weights for policy 0, policy_version 46196 (0.0014) +[2026-06-04 07:11:08,855][74443] Saving new best policy, reward=10791.450! +[2026-06-04 07:11:11,960][75030] Updated weights for policy 0, policy_version 46264 (0.0013) +[2026-06-04 07:11:13,420][65146] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10885.7). Total num frames: 23691264. Throughput: 0: 10456.1. Samples: 23692800. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 07:11:13,422][65146] Avg episode reward: [(0, '10995.600')] +[2026-06-04 07:11:13,425][74443] Saving new best policy, reward=10995.600! +[2026-06-04 07:11:15,296][75030] Updated weights for policy 0, policy_version 46331 (0.0015) +[2026-06-04 07:11:18,420][65146] Fps is (10 sec: 11468.8, 60 sec: 10376.5, 300 sec: 10857.9). Total num frames: 23748608. Throughput: 0: 10433.4. Samples: 23753216. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 07:11:18,421][65146] Avg episode reward: [(0, '10709.300')] +[2026-06-04 07:11:21,078][75030] Updated weights for policy 0, policy_version 46416 (0.0015) +[2026-06-04 07:11:23,420][65146] Fps is (10 sec: 9830.3, 60 sec: 10376.5, 300 sec: 10885.6). Total num frames: 23789568. Throughput: 0: 10410.5. Samples: 23785472. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 07:11:23,422][65146] Avg episode reward: [(0, '10530.300')] +[2026-06-04 07:11:24,260][75030] Updated weights for policy 0, policy_version 46481 (0.0016) +[2026-06-04 07:11:27,958][75030] Updated weights for policy 0, policy_version 46576 (0.0013) +[2026-06-04 07:11:28,420][65146] Fps is (10 sec: 10649.8, 60 sec: 10376.5, 300 sec: 10885.7). Total num frames: 23855104. Throughput: 0: 10399.3. Samples: 23845888. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-04 07:11:28,421][65146] Avg episode reward: [(0, '10399.550')] +[2026-06-04 07:11:31,342][75030] Updated weights for policy 0, policy_version 46650 (0.0014) +[2026-06-04 07:11:33,420][65146] Fps is (10 sec: 9830.7, 60 sec: 10376.5, 300 sec: 10885.6). Total num frames: 23887872. Throughput: 0: 10285.5. Samples: 23906816. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 07:11:33,422][65146] Avg episode reward: [(0, '10405.900')] +[2026-06-04 07:11:37,309][75030] Updated weights for policy 0, policy_version 46752 (0.0018) +[2026-06-04 07:11:38,421][65146] Fps is (10 sec: 9829.6, 60 sec: 10376.4, 300 sec: 10885.6). Total num frames: 23953408. Throughput: 0: 10183.0. Samples: 23934464. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 07:11:38,423][65146] Avg episode reward: [(0, '10503.450')] +[2026-06-04 07:11:40,604][75030] Updated weights for policy 0, policy_version 46832 (0.0014) +[2026-06-04 07:11:43,420][65146] Fps is (10 sec: 10649.7, 60 sec: 10240.0, 300 sec: 10885.6). Total num frames: 23994368. Throughput: 0: 10308.3. Samples: 23998464. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 07:11:43,422][65146] Avg episode reward: [(0, '10659.850')] +[2026-06-04 07:11:43,797][75030] Updated weights for policy 0, policy_version 46902 (0.0014) +[2026-06-04 07:11:46,496][74443] Signal inference workers to stop experience collection... (2200 times) +[2026-06-04 07:11:46,526][75030] InferenceWorker_p0-w0: stopping experience collection (2200 times) +[2026-06-04 07:11:46,665][74443] Signal inference workers to resume experience collection... (2200 times) +[2026-06-04 07:11:46,666][75030] InferenceWorker_p0-w0: resuming experience collection (2200 times) +[2026-06-04 07:11:48,420][65146] Fps is (10 sec: 9831.2, 60 sec: 10376.6, 300 sec: 10885.6). Total num frames: 24051712. Throughput: 0: 10319.7. Samples: 24061440. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 07:11:48,421][65146] Avg episode reward: [(0, '10928.500')] +[2026-06-04 07:11:49,626][75030] Updated weights for policy 0, policy_version 46977 (0.0015) +[2026-06-04 07:11:53,003][75030] Updated weights for policy 0, policy_version 47056 (0.0014) +[2026-06-04 07:11:53,420][65146] Fps is (10 sec: 11468.8, 60 sec: 10240.0, 300 sec: 10941.2). Total num frames: 24109056. Throughput: 0: 10308.3. Samples: 24093184. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 07:11:53,421][65146] Avg episode reward: [(0, '10675.900')] +[2026-06-04 07:11:56,667][75030] Updated weights for policy 0, policy_version 47152 (0.0018) +[2026-06-04 07:11:58,420][65146] Fps is (10 sec: 9830.2, 60 sec: 10376.5, 300 sec: 10885.6). Total num frames: 24150016. Throughput: 0: 10205.9. Samples: 24152064. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-04 07:11:58,422][65146] Avg episode reward: [(0, '10804.000')] +[2026-06-04 07:11:59,712][75030] Updated weights for policy 0, policy_version 47222 (0.0018) +[2026-06-04 07:12:03,136][75030] Updated weights for policy 0, policy_version 47288 (0.0015) +[2026-06-04 07:12:03,421][65146] Fps is (10 sec: 10648.9, 60 sec: 10376.4, 300 sec: 10885.6). Total num frames: 24215552. Throughput: 0: 10296.8. Samples: 24216576. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 07:12:03,423][65146] Avg episode reward: [(0, '11075.650')] +[2026-06-04 07:12:03,431][74443] Saving new best policy, reward=11075.650! +[2026-06-04 07:12:06,429][75030] Updated weights for policy 0, policy_version 47357 (0.0015) +[2026-06-04 07:12:08,420][65146] Fps is (10 sec: 9830.7, 60 sec: 10240.0, 300 sec: 10885.6). Total num frames: 24248320. Throughput: 0: 10251.5. Samples: 24246784. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 07:12:08,421][65146] Avg episode reward: [(0, '10714.300')] +[2026-06-04 07:12:09,568][75030] Updated weights for policy 0, policy_version 47423 (0.0015) +[2026-06-04 07:12:12,804][75030] Updated weights for policy 0, policy_version 47488 (0.0013) +[2026-06-04 07:12:13,421][65146] Fps is (10 sec: 9830.4, 60 sec: 10376.5, 300 sec: 10885.6). Total num frames: 24313856. Throughput: 0: 10262.6. Samples: 24307712. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 07:12:13,425][65146] Avg episode reward: [(0, '10860.350')] +[2026-06-04 07:12:18,420][65146] Fps is (10 sec: 9830.1, 60 sec: 9966.9, 300 sec: 10885.6). Total num frames: 24346624. Throughput: 0: 10262.7. Samples: 24368640. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 07:12:18,422][65146] Avg episode reward: [(0, '10862.400')] +[2026-06-04 07:12:19,071][75030] Updated weights for policy 0, policy_version 47600 (0.0018) +[2026-06-04 07:12:22,294][75030] Updated weights for policy 0, policy_version 47666 (0.0013) +[2026-06-04 07:12:23,429][65146] Fps is (10 sec: 9822.1, 60 sec: 10375.0, 300 sec: 10885.3). Total num frames: 24412160. Throughput: 0: 10317.7. Samples: 24398848. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 07:12:23,431][65146] Avg episode reward: [(0, '10864.500')] +[2026-06-04 07:12:25,601][75030] Updated weights for policy 0, policy_version 47732 (0.0012) +[2026-06-04 07:12:28,420][65146] Fps is (10 sec: 9830.3, 60 sec: 9830.4, 300 sec: 10885.6). Total num frames: 24444928. Throughput: 0: 10217.2. Samples: 24458240. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 07:12:28,422][65146] Avg episode reward: [(0, '11042.000')] +[2026-06-04 07:12:29,004][75030] Updated weights for policy 0, policy_version 47797 (0.0013) +[2026-06-04 07:12:32,399][75030] Updated weights for policy 0, policy_version 47871 (0.0011) +[2026-06-04 07:12:33,420][65146] Fps is (10 sec: 9839.4, 60 sec: 10376.6, 300 sec: 10885.6). Total num frames: 24510464. Throughput: 0: 10137.6. Samples: 24517632. Policy #0 lag: (min: 15.0, avg: 18.9, max: 79.0) +[2026-06-04 07:12:33,421][65146] Avg episode reward: [(0, '10870.750')] +[2026-06-04 07:12:38,003][75030] Updated weights for policy 0, policy_version 47952 (0.0012) +[2026-06-04 07:12:38,420][65146] Fps is (10 sec: 12288.4, 60 sec: 10240.2, 300 sec: 10968.9). Total num frames: 24567808. Throughput: 0: 10126.3. Samples: 24548864. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0) +[2026-06-04 07:12:38,421][65146] Avg episode reward: [(0, '10903.500')] +[2026-06-04 07:12:40,739][74443] Signal inference workers to stop experience collection... (2250 times) +[2026-06-04 07:12:40,767][75030] InferenceWorker_p0-w0: stopping experience collection (2250 times) +[2026-06-04 07:12:40,918][74443] Signal inference workers to resume experience collection... (2250 times) +[2026-06-04 07:12:40,920][75030] InferenceWorker_p0-w0: resuming experience collection (2250 times) +[2026-06-04 07:12:41,082][75030] Updated weights for policy 0, policy_version 48032 (0.0013) +[2026-06-04 07:12:43,420][65146] Fps is (10 sec: 9830.2, 60 sec: 10240.0, 300 sec: 10885.6). Total num frames: 24608768. Throughput: 0: 10262.8. Samples: 24613888. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0) +[2026-06-04 07:12:43,422][65146] Avg episode reward: [(0, '10711.200')] +[2026-06-04 07:12:44,269][75030] Updated weights for policy 0, policy_version 48112 (0.0015) +[2026-06-04 07:12:47,410][75030] Updated weights for policy 0, policy_version 48176 (0.0013) +[2026-06-04 07:12:48,420][65146] Fps is (10 sec: 10649.3, 60 sec: 10376.5, 300 sec: 10996.7). Total num frames: 24674304. Throughput: 0: 10274.2. Samples: 24678912. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0) +[2026-06-04 07:12:48,422][65146] Avg episode reward: [(0, '10673.050')] +[2026-06-04 07:12:50,694][75030] Updated weights for policy 0, policy_version 48248 (0.0010) +[2026-06-04 07:12:53,420][65146] Fps is (10 sec: 9830.5, 60 sec: 9966.9, 300 sec: 10885.6). Total num frames: 24707072. Throughput: 0: 10262.7. Samples: 24708608. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0) +[2026-06-04 07:12:53,422][65146] Avg episode reward: [(0, '10591.950')] +[2026-06-04 07:12:53,975][75030] Updated weights for policy 0, policy_version 48314 (0.0016) +[2026-06-04 07:12:57,206][75030] Updated weights for policy 0, policy_version 48381 (0.0016) +[2026-06-04 07:12:58,420][65146] Fps is (10 sec: 9830.5, 60 sec: 10376.5, 300 sec: 10885.6). Total num frames: 24772608. Throughput: 0: 10353.9. Samples: 24773632. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0) +[2026-06-04 07:12:58,422][65146] Avg episode reward: [(0, '10632.350')] +[2026-06-04 07:13:00,388][75030] Updated weights for policy 0, policy_version 48447 (0.0013) +[2026-06-04 07:13:03,420][65146] Fps is (10 sec: 13107.3, 60 sec: 10376.7, 300 sec: 10885.6). Total num frames: 24838144. Throughput: 0: 10399.3. Samples: 24836608. Policy #0 lag: (min: 15.0, avg: 19.9, max: 79.0) +[2026-06-04 07:13:03,421][65146] Avg episode reward: [(0, '10651.400')] +[2026-06-04 07:13:03,474][75030] Updated weights for policy 0, policy_version 48512 (0.0011) +[2026-06-04 07:13:08,420][65146] Fps is (10 sec: 9830.7, 60 sec: 10376.5, 300 sec: 10830.1). Total num frames: 24870912. Throughput: 0: 10469.7. Samples: 24869888. Policy #0 lag: (min: 7.0, avg: 11.3, max: 71.0) +[2026-06-04 07:13:08,421][65146] Avg episode reward: [(0, '10396.100')] +[2026-06-04 07:13:09,101][75030] Updated weights for policy 0, policy_version 48592 (0.0014) +[2026-06-04 07:13:12,509][75030] Updated weights for policy 0, policy_version 48672 (0.0014) +[2026-06-04 07:13:13,420][65146] Fps is (10 sec: 9830.2, 60 sec: 10376.6, 300 sec: 10885.6). Total num frames: 24936448. Throughput: 0: 10490.3. Samples: 24930304. Policy #0 lag: (min: 7.0, avg: 11.3, max: 71.0) +[2026-06-04 07:13:13,422][65146] Avg episode reward: [(0, '10844.800')] +[2026-06-04 07:13:15,860][75030] Updated weights for policy 0, policy_version 48737 (0.0012) +[2026-06-04 07:13:18,420][65146] Fps is (10 sec: 9830.3, 60 sec: 10376.6, 300 sec: 10774.6). Total num frames: 24969216. Throughput: 0: 10501.7. Samples: 24990208. Policy #0 lag: (min: 7.0, avg: 11.3, max: 71.0) +[2026-06-04 07:13:18,421][65146] Avg episode reward: [(0, '10769.400')] +[2026-06-04 07:13:18,938][75030] Updated weights for policy 0, policy_version 48800 (0.0012) +[2026-06-04 07:13:21,967][74443] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 +[2026-06-04 07:13:21,971][75031] Stopping RolloutWorker_w0... +[2026-06-04 07:13:21,971][74443] Stopping Batcher_0... +[2026-06-04 07:13:21,972][75031] Loop rollout_proc0_evt_loop terminating... +[2026-06-04 07:13:21,972][74443] Loop batcher_evt_loop terminating... +[2026-06-04 07:13:21,971][75030] Updated weights for policy 0, policy_version 48848 (0.0013) +[2026-06-04 07:13:21,971][65146] Component RolloutWorker_w0 stopped! +[2026-06-04 07:13:21,972][65146] Component Batcher_0 stopped! +[2026-06-04 07:13:22,074][74443] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 +[2026-06-04 07:13:22,076][74443] Saving results/checkpoints_factor_sweeps/demon_attack/context_window/demon_attack_frame_stack_fixed_l4_fs4_seed11/checkpoint_p0/checkpoint_000048864_25018368.pth... +[2026-06-04 07:13:22,156][75030] Weights refcount: 2 0 +[2026-06-04 07:13:22,158][75030] Stopping InferenceWorker_p0-w0... +[2026-06-04 07:13:22,158][75030] Loop inference_proc0-0_evt_loop terminating... +[2026-06-04 07:13:22,158][65146] Component InferenceWorker_p0-w0 stopped! +[2026-06-04 07:13:22,248][74443] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 +[2026-06-04 07:13:22,250][74443] Saving results/checkpoints_factor_sweeps/demon_attack/context_window/demon_attack_frame_stack_fixed_l4_fs4_seed11/checkpoint_p0/checkpoint_000048880_25026560.pth... +[2026-06-04 07:13:22,294][74443] Removing results/checkpoints_factor_sweeps/demon_attack/context_window/demon_attack_frame_stack_fixed_l4_fs4_seed11/checkpoint_p0/checkpoint_000003712_1900544.pth +[2026-06-04 07:13:22,299][74443] Stopping LearnerWorker_p0... +[2026-06-04 07:13:22,300][74443] Loop learner_proc0_evt_loop terminating... +[2026-06-04 07:13:22,299][65146] Component LearnerWorker_p0 stopped! +[2026-06-04 07:13:22,301][65146] Waiting for process learner_proc0 to stop... +[2026-06-04 07:13:25,505][65146] Waiting for process inference_proc0-0 to join... +[2026-06-04 07:13:25,506][65146] Waiting for process rollout_proc0 to join... +[2026-06-04 07:13:25,507][65146] Batcher 0 profile tree view: +batching: 1.9517, releasing_batches: 2.6359 +[2026-06-04 07:13:25,507][65146] InferenceWorker_p0-w0 profile tree view: +wait_policy: 0.0052 + wait_policy_total: 2161.2388 +update_model: 14.5590 + weight_update: 0.0013 +one_step: 0.0036 + handle_policy_step: 176.4157 + deserialize: 4.2591, stack: 0.1378, obs_to_device_normalize: 40.1732, forward: 86.9826, prepare_outputs: 29.0850, send_messages: 6.6401 +[2026-06-04 07:13:25,507][65146] Learner 0 profile tree view: +misc: 0.0232, prepare_batch: 67.7447 +train: 488.0724 + epoch_init: 0.1474, minibatch_init: 6.1075, losses_postprocess: 85.8214, kl_divergence: 82.7413, update: 189.2929, after_optimizer: 29.8481 + calculate_losses: 87.6543 + losses_init: 0.2139, forward_head: 31.5872, bptt_initial: 0.6250, bptt: 0.9337, tail: 20.9950, advantages_returns: 6.1760, losses: 21.6362 +[2026-06-04 07:13:25,507][65146] RolloutWorker_w0 profile tree view: +wait_for_trajectories: 0.0826, enqueue_policy_requests: 25.0312, process_policy_outputs: 9.8952, env_step: 2178.8958, finalize_trajectories: 0.1957, complete_rollouts: 0.1828 +post_env_step: 28.8199 + process_env_step: 9.2092 +[2026-06-04 07:13:25,508][65146] Loop Runner_EvtLoop terminating... +[2026-06-04 07:13:25,508][65146] Runner profile tree view: +main_loop: 2656.3196 +[2026-06-04 07:13:25,508][65146] Collected {0: 25026560}, FPS: 9421.5