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"terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} +{"done_reason": "terminated", "env_id": 174, "episode_idx": 25, "latency_raw_frames": 5, "length": 3241, "raw_frames": 22687, "raw_return": 11770.0, "return": 11770.0, "terminated": true, "time_limit_truncated": false, "timeout": false, "truncated": false, "vector_index": 0, "worker_index": 0} diff --git a/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:uniform_u2_6:fs4:obs8p57143:stride7:seed12/git.diff b/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:uniform_u2_6:fs4:obs8p57143:stride7:seed12/git.diff new file mode 100644 index 0000000000000000000000000000000000000000..29108e5b29266817ecd22d4ca51bcbe8f6aaa23b --- /dev/null +++ b/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:uniform_u2_6:fs4:obs8p57143:stride7:seed12/git.diff @@ -0,0 +1,7 @@ +diff --git a/starVLA b/starVLA +index ab3380d..9d8c567 160000 +--- a/starVLA ++++ b/starVLA +@@ -1 +1 @@ +-Subproject commit ab3380dfbd1de9649c15d154cc41b97788674537 ++Subproject commit 9d8c567188a3aa2a825296016cf17f3977101d8f diff --git a/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:uniform_u2_6:fs4:obs8p57143:stride7:seed12/sf_log.txt b/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:uniform_u2_6:fs4:obs8p57143:stride7:seed12/sf_log.txt new file mode 100644 index 0000000000000000000000000000000000000000..298f09830208704f2e0136f64ab3ab12d1dad74a --- /dev/null +++ b/factor_sweeps/demon_attack/observation_stride/train/factor_sweep:demon_attack:observation_stride:uniform_u2_6:fs4:obs8p57143:stride7:seed12/sf_log.txt @@ -0,0 +1,2537 @@ +[2026-06-06 18:03:47,314][186392] Saving configuration to results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride7_seed12/config.json... +[2026-06-06 18:03:47,431][186392] Using GPUs [0] for process 0 (actually maps to GPUs [0]) +[2026-06-06 18:03:47,432][186392] Rollout worker 0 uses device cuda:0 +[2026-06-06 18:03:48,950][186392] Using GPUs [0] for process 0 (actually maps to GPUs [0]) +[2026-06-06 18:03:48,951][186392] InferenceWorker_p0-w0: min num requests: 1 +[2026-06-06 18:03:48,960][186392] Using GPUs [0] for process 0 (actually maps to GPUs [0]) +[2026-06-06 18:03:48,962][186392] Starting all processes... +[2026-06-06 18:03:48,963][186392] Starting process learner_proc0 +[2026-06-06 18:03:51,447][186392] Starting all processes... +[2026-06-06 18:03:51,451][186392] Starting process inference_proc0-0 +[2026-06-06 18:03:51,451][186392] Starting process rollout_proc0 +[2026-06-06 18:03:51,966][187720] Using GPUs [0] for process 0 (actually maps to GPUs [0]) +[2026-06-06 18:03:51,966][187720] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for learning process 0 +[2026-06-06 18:03:51,966][187720] Num visible devices: 1 +[2026-06-06 18:03:51,967][187720] Setting fixed seed 12 +[2026-06-06 18:03:51,969][187720] Using GPUs [0] for process 0 (actually maps to GPUs [0]) +[2026-06-06 18:03:51,969][187720] Initializing actor-critic model on device cuda:0 +[2026-06-06 18:03:51,969][187720] RunningMeanStd input shape: (4, 84, 84) +[2026-06-06 18:03:52,002][187720] RunningMeanStd input shape: (1,) +[2026-06-06 18:03:52,012][187720] ConvEncoder: input_channels=4 +[2026-06-06 18:03:52,088][187720] Conv encoder output size: 512 +[2026-06-06 18:03:52,091][187720] Created Actor Critic model with architecture: +[2026-06-06 18:03:52,091][187720] ActorCriticSharedWeights( + (obs_normalizer): ObservationNormalizer( + (running_mean_std): RunningMeanStdDictInPlace( + (running_mean_std): ModuleDict( + (obs): RunningMeanStdInPlace() + ) + ) + ) + (returns_normalizer): RecursiveScriptModule(original_name=RunningMeanStdInPlace) + (encoder): MultiInputEncoder( + (encoders): ModuleDict( + (obs): ConvEncoder( + (enc): RecursiveScriptModule( + original_name=ConvEncoderImpl + (conv_head): RecursiveScriptModule( + original_name=Sequential + (0): RecursiveScriptModule(original_name=Conv2d) + (1): RecursiveScriptModule(original_name=ELU) + (2): RecursiveScriptModule(original_name=Conv2d) + (3): RecursiveScriptModule(original_name=ELU) + (4): RecursiveScriptModule(original_name=Conv2d) + (5): RecursiveScriptModule(original_name=ELU) + ) + (mlp_layers): RecursiveScriptModule( + original_name=Sequential + (0): RecursiveScriptModule(original_name=Linear) + (1): RecursiveScriptModule(original_name=ELU) + ) + ) + ) + ) + ) + (core): ModelCoreIdentity() + (decoder): MlpDecoder( + (mlp): Identity() + ) + (critic_linear): Linear(in_features=512, out_features=1, bias=True) + (action_parameterization): ActionParameterizationDefault( + (distribution_linear): Linear(in_features=512, out_features=6, bias=True) + ) +) +[2026-06-06 18:03:52,094][187720] Using optimizer +[2026-06-06 18:03:53,563][187720] No checkpoints found +[2026-06-06 18:03:53,563][187720] Did not load from checkpoint, starting from scratch! +[2026-06-06 18:03:53,564][187720] Initialized policy 0 weights for model version 0 +[2026-06-06 18:03:53,566][187720] LearnerWorker_p0 finished initialization! +[2026-06-06 18:03:53,567][187720] Using GPUs [0] for process 0 (actually maps to GPUs [0]) +[2026-06-06 18:03:54,511][187799] Using GPUs [0] for process 0 (actually maps to GPUs [0]) +[2026-06-06 18:03:54,511][187799] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for inference process 0 +[2026-06-06 18:03:54,512][187799] Num visible devices: 1 +[2026-06-06 18:03:54,514][187799] RunningMeanStd input shape: (4, 84, 84) +[2026-06-06 18:03:54,547][187799] RunningMeanStd input shape: (1,) +[2026-06-06 18:03:54,560][187799] ConvEncoder: input_channels=4 +[2026-06-06 18:03:54,562][187798] 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] +[2026-06-06 18:03:54,562][187798] Using GPUs [0] for process 0 (actually maps to GPUs [0]) +[2026-06-06 18:03:54,562][187798] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for actor process 0 +[2026-06-06 18:03:54,562][187798] Num visible devices: 1 +[2026-06-06 18:03:54,653][187799] Conv encoder output size: 512 +[2026-06-06 18:03:54,662][186392] Inference worker 0-0 is ready! +[2026-06-06 18:03:54,663][186392] All inference workers are ready! Signal rollout workers to start! +[2026-06-06 18:03:54,665][187798] EnvRunner 0-0 uses policy 0 +[2026-06-06 18:03:55,511][186392] 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) +[2026-06-06 18:04:00,511][186392] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 921.6. Samples: 4608. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0) +[2026-06-06 18:04:00,955][187720] Signal inference workers to stop experience collection... +[2026-06-06 18:04:00,983][187799] InferenceWorker_p0-w0: stopping experience collection +[2026-06-06 18:04:02,547][187720] Signal inference workers to resume experience collection... +[2026-06-06 18:04:02,548][187799] InferenceWorker_p0-w0: resuming experience collection +[2026-06-06 18:04:05,511][186392] Fps is (10 sec: 3276.8, 60 sec: 3276.8, 300 sec: 3276.8). Total num frames: 32768. Throughput: 0: 4044.8. Samples: 40448. Policy #0 lag: (min: 5.0, avg: 5.0, max: 5.0) +[2026-06-06 18:04:07,884][187799] Updated weights for policy 0, policy_version 112 (0.0050) +[2026-06-06 18:04:08,932][186392] Heartbeat connected on Batcher_0 +[2026-06-06 18:04:08,940][186392] Heartbeat connected on LearnerWorker_p0 +[2026-06-06 18:04:08,981][186392] Heartbeat connected on RolloutWorker_w0 +[2026-06-06 18:04:08,985][186392] Heartbeat connected on InferenceWorker_p0-w0 +[2026-06-06 18:04:10,510][186392] Fps is (10 sec: 6553.8, 60 sec: 4369.1, 300 sec: 4369.1). Total num frames: 65536. Throughput: 0: 5359.0. Samples: 80384. Policy #0 lag: (min: 3.0, avg: 5.9, max: 67.0) +[2026-06-06 18:04:10,512][186392] Avg episode reward: [(0, '40.000')] +[2026-06-06 18:04:13,168][187799] Updated weights for policy 0, policy_version 191 (0.0017) +[2026-06-06 18:04:15,511][186392] Fps is (10 sec: 6553.5, 60 sec: 4915.2, 300 sec: 4915.2). Total num frames: 98304. Throughput: 0: 4966.4. Samples: 99328. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:04:15,513][186392] Avg episode reward: [(0, '56.393')] +[2026-06-06 18:04:20,511][186392] Fps is (10 sec: 6553.5, 60 sec: 5242.9, 300 sec: 5242.9). Total num frames: 131072. Throughput: 0: 5365.8. Samples: 134144. Policy #0 lag: (min: 6.0, avg: 9.2, max: 70.0) +[2026-06-06 18:04:20,512][186392] Avg episode reward: [(0, '70.000')] +[2026-06-06 18:04:20,518][187720] Saving new best policy, reward=70.000! +[2026-06-06 18:04:24,180][187799] Updated weights for policy 0, policy_version 304 (0.0015) +[2026-06-06 18:04:25,510][186392] Fps is (10 sec: 6553.8, 60 sec: 5461.4, 300 sec: 5461.4). Total num frames: 163840. Throughput: 0: 5615.0. Samples: 168448. Policy #0 lag: (min: 7.0, avg: 9.7, max: 71.0) +[2026-06-06 18:04:25,512][186392] Avg episode reward: [(0, '89.200')] +[2026-06-06 18:04:25,517][187720] Saving new best policy, reward=89.200! +[2026-06-06 18:04:30,510][186392] Fps is (10 sec: 6553.7, 60 sec: 5617.4, 300 sec: 5617.4). Total num frames: 196608. Throughput: 0: 5354.1. Samples: 187392. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:04:30,512][186392] Avg episode reward: [(0, '98.500')] +[2026-06-06 18:04:30,518][187720] Saving new best policy, reward=98.500! +[2026-06-06 18:04:35,505][187799] Updated weights for policy 0, policy_version 400 (0.0024) +[2026-06-06 18:04:35,510][186392] Fps is (10 sec: 4096.1, 60 sec: 5120.1, 300 sec: 5120.1). Total num frames: 204800. Throughput: 0: 5504.1. Samples: 220160. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:04:35,511][186392] Avg episode reward: [(0, '114.700')] +[2026-06-06 18:04:35,834][187720] Saving new best policy, reward=114.700! +[2026-06-06 18:04:40,510][186392] Fps is (10 sec: 3276.9, 60 sec: 5097.3, 300 sec: 5097.3). Total num frames: 229376. Throughput: 0: 5597.9. Samples: 251904. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:04:40,511][186392] Avg episode reward: [(0, '124.950')] +[2026-06-06 18:04:40,514][187720] Saving new best policy, reward=124.950! +[2026-06-06 18:04:42,318][187799] Updated weights for policy 0, policy_version 502 (0.0014) +[2026-06-06 18:04:45,510][186392] Fps is (10 sec: 5734.4, 60 sec: 5242.9, 300 sec: 5242.9). Total num frames: 262144. Throughput: 0: 5814.1. Samples: 266240. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:04:45,511][186392] Avg episode reward: [(0, '135.250')] +[2026-06-06 18:04:45,516][187720] Saving new best policy, reward=135.250! +[2026-06-06 18:04:50,511][186392] Fps is (10 sec: 6553.4, 60 sec: 5362.0, 300 sec: 5362.0). Total num frames: 294912. Throughput: 0: 5757.2. Samples: 299520. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:04:50,512][186392] Avg episode reward: [(0, '133.400')] +[2026-06-06 18:04:53,848][187799] Updated weights for policy 0, policy_version 592 (0.0018) +[2026-06-06 18:04:55,511][186392] Fps is (10 sec: 6553.4, 60 sec: 5461.3, 300 sec: 5461.3). Total num frames: 327680. Throughput: 0: 5586.5. Samples: 331776. Policy #0 lag: (min: 5.0, avg: 7.8, max: 69.0) +[2026-06-06 18:04:55,512][186392] Avg episode reward: [(0, '137.100')] +[2026-06-06 18:04:55,515][187720] Saving new best policy, reward=137.100! +[2026-06-06 18:05:00,477][187799] Updated weights for policy 0, policy_version 699 (0.0020) +[2026-06-06 18:05:00,511][186392] Fps is (10 sec: 5734.3, 60 sec: 5870.9, 300 sec: 5419.3). Total num frames: 352256. Throughput: 0: 5552.4. Samples: 349184. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:05:00,512][186392] Avg episode reward: [(0, '147.700')] +[2026-06-06 18:05:00,546][187720] Saving new best policy, reward=147.700! +[2026-06-06 18:05:05,510][186392] Fps is (10 sec: 3276.9, 60 sec: 5461.4, 300 sec: 5149.3). Total num frames: 360448. Throughput: 0: 5495.5. Samples: 381440. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:05:05,511][186392] Avg episode reward: [(0, '142.250')] +[2026-06-06 18:05:10,511][186392] Fps is (10 sec: 4096.0, 60 sec: 5461.3, 300 sec: 5242.9). Total num frames: 393216. Throughput: 0: 5495.5. Samples: 415744. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:05:10,513][186392] Avg episode reward: [(0, '142.750')] +[2026-06-06 18:05:12,072][187799] Updated weights for policy 0, policy_version 816 (0.0016) +[2026-06-06 18:05:15,510][186392] Fps is (10 sec: 6553.6, 60 sec: 5461.4, 300 sec: 5324.8). Total num frames: 425984. Throughput: 0: 5404.5. Samples: 430592. Policy #0 lag: (min: 11.0, avg: 13.8, max: 75.0) +[2026-06-06 18:05:15,512][186392] Avg episode reward: [(0, '141.850')] +[2026-06-06 18:05:17,573][187799] Updated weights for policy 0, policy_version 883 (0.0016) +[2026-06-06 18:05:20,510][186392] Fps is (10 sec: 6553.7, 60 sec: 5461.4, 300 sec: 5397.1). Total num frames: 458752. Throughput: 0: 5529.6. Samples: 468992. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:05:20,512][186392] Avg episode reward: [(0, '156.600')] +[2026-06-06 18:05:20,517][187720] Saving new best policy, reward=156.600! +[2026-06-06 18:05:25,511][186392] Fps is (10 sec: 6553.5, 60 sec: 5461.3, 300 sec: 5461.3). Total num frames: 491520. Throughput: 0: 5666.1. Samples: 506880. Policy #0 lag: (min: 4.0, avg: 8.1, max: 68.0) +[2026-06-06 18:05:25,514][186392] Avg episode reward: [(0, '179.550')] +[2026-06-06 18:05:25,519][187720] Saving new best policy, reward=179.550! +[2026-06-06 18:05:27,815][187799] Updated weights for policy 0, policy_version 976 (0.0017) +[2026-06-06 18:05:30,511][186392] Fps is (10 sec: 6553.5, 60 sec: 5461.3, 300 sec: 5518.8). Total num frames: 524288. Throughput: 0: 5745.7. Samples: 524800. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:05:30,512][186392] Avg episode reward: [(0, '161.850')] +[2026-06-06 18:05:33,241][187720] Signal inference workers to stop experience collection... (50 times) +[2026-06-06 18:05:33,275][187799] InferenceWorker_p0-w0: stopping experience collection (50 times) +[2026-06-06 18:05:33,404][187720] Signal inference workers to resume experience collection... (50 times) +[2026-06-06 18:05:33,406][187799] InferenceWorker_p0-w0: resuming experience collection (50 times) +[2026-06-06 18:05:33,659][187799] Updated weights for policy 0, policy_version 1088 (0.0021) +[2026-06-06 18:05:35,510][186392] Fps is (10 sec: 6553.6, 60 sec: 5870.9, 300 sec: 5570.6). Total num frames: 557056. Throughput: 0: 5802.7. Samples: 560640. Policy #0 lag: (min: 10.0, avg: 12.6, max: 74.0) +[2026-06-06 18:05:35,512][186392] Avg episode reward: [(0, '158.850')] +[2026-06-06 18:05:40,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6007.5, 300 sec: 5617.4). Total num frames: 589824. Throughput: 0: 5859.6. Samples: 595456. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:05:40,511][186392] Avg episode reward: [(0, '161.550')] +[2026-06-06 18:05:44,562][187799] Updated weights for policy 0, policy_version 1200 (0.0018) +[2026-06-06 18:05:45,511][186392] Fps is (10 sec: 6553.6, 60 sec: 6007.4, 300 sec: 5659.9). Total num frames: 622592. Throughput: 0: 5905.1. Samples: 614912. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:05:45,512][186392] Avg episode reward: [(0, '168.350')] +[2026-06-06 18:05:50,151][187799] Updated weights for policy 0, policy_version 1280 (0.0015) +[2026-06-06 18:05:50,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6007.5, 300 sec: 5698.8). Total num frames: 655360. Throughput: 0: 6007.4. Samples: 651776. Policy #0 lag: (min: 14.0, avg: 16.9, max: 78.0) +[2026-06-06 18:05:50,513][186392] Avg episode reward: [(0, '176.400')] +[2026-06-06 18:05:55,511][186392] Fps is (10 sec: 4095.9, 60 sec: 5597.9, 300 sec: 5529.6). Total num frames: 663552. Throughput: 0: 5996.1. Samples: 685568. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:05:55,512][186392] Avg episode reward: [(0, '176.350')] +[2026-06-06 18:06:00,511][186392] Fps is (10 sec: 3276.8, 60 sec: 5597.9, 300 sec: 5505.0). Total num frames: 688128. Throughput: 0: 6041.6. Samples: 702464. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:06:00,513][186392] Avg episode reward: [(0, '183.000')] +[2026-06-06 18:06:00,520][187720] Saving new best policy, reward=183.000! +[2026-06-06 18:06:01,342][187799] Updated weights for policy 0, policy_version 1376 (0.0019) +[2026-06-06 18:06:05,511][186392] Fps is (10 sec: 5734.5, 60 sec: 6007.5, 300 sec: 5545.4). Total num frames: 720896. Throughput: 0: 5927.8. Samples: 735744. Policy #0 lag: (min: 9.0, avg: 12.6, max: 73.0) +[2026-06-06 18:06:05,513][186392] Avg episode reward: [(0, '181.650')] +[2026-06-06 18:06:07,745][187799] Updated weights for policy 0, policy_version 1472 (0.0016) +[2026-06-06 18:06:10,511][186392] Fps is (10 sec: 6553.6, 60 sec: 6007.5, 300 sec: 5582.7). Total num frames: 753664. Throughput: 0: 5802.7. Samples: 768000. Policy #0 lag: (min: 10.0, avg: 12.8, max: 74.0) +[2026-06-06 18:06:10,513][186392] Avg episode reward: [(0, '169.750')] +[2026-06-06 18:06:15,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6007.4, 300 sec: 5617.4). Total num frames: 786432. Throughput: 0: 5836.8. Samples: 787456. Policy #0 lag: (min: 10.0, avg: 12.8, max: 74.0) +[2026-06-06 18:06:15,512][186392] Avg episode reward: [(0, '167.650')] +[2026-06-06 18:06:18,587][187799] Updated weights for policy 0, policy_version 1592 (0.0018) +[2026-06-06 18:06:20,510][186392] Fps is (10 sec: 6553.8, 60 sec: 6007.5, 300 sec: 5649.7). Total num frames: 819200. Throughput: 0: 5814.1. Samples: 822272. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:06:20,511][186392] Avg episode reward: [(0, '163.350')] +[2026-06-06 18:06:25,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6007.5, 300 sec: 5679.8). Total num frames: 851968. Throughput: 0: 5802.7. Samples: 856576. Policy #0 lag: (min: 11.0, avg: 13.7, max: 75.0) +[2026-06-06 18:06:25,511][186392] Avg episode reward: [(0, '176.100')] +[2026-06-06 18:06:29,532][187799] Updated weights for policy 0, policy_version 1696 (0.0017) +[2026-06-06 18:06:30,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6007.5, 300 sec: 5708.0). Total num frames: 884736. Throughput: 0: 5791.3. Samples: 875520. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:06:30,512][186392] Avg episode reward: [(0, '196.150')] +[2026-06-06 18:06:30,516][187720] Saving new best policy, reward=196.150! +[2026-06-06 18:06:35,510][186392] Fps is (10 sec: 5734.4, 60 sec: 5870.9, 300 sec: 5683.2). Total num frames: 909312. Throughput: 0: 5723.0. Samples: 909312. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:06:35,512][186392] Avg episode reward: [(0, '194.750')] +[2026-06-06 18:06:35,786][187799] Updated weights for policy 0, policy_version 1792 (0.0015) +[2026-06-06 18:06:40,510][186392] Fps is (10 sec: 3276.8, 60 sec: 5461.3, 300 sec: 5560.6). Total num frames: 917504. Throughput: 0: 5757.2. Samples: 944640. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:06:40,512][186392] Avg episode reward: [(0, '176.150')] +[2026-06-06 18:06:45,510][186392] Fps is (10 sec: 4096.0, 60 sec: 5461.3, 300 sec: 5589.8). Total num frames: 950272. Throughput: 0: 5757.2. Samples: 961536. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:06:45,512][186392] Avg episode reward: [(0, '176.550')] +[2026-06-06 18:06:46,750][187799] Updated weights for policy 0, policy_version 1908 (0.0015) +[2026-06-06 18:06:50,511][186392] Fps is (10 sec: 6553.6, 60 sec: 5461.3, 300 sec: 5617.4). Total num frames: 983040. Throughput: 0: 5814.0. Samples: 997376. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:06:50,512][186392] Avg episode reward: [(0, '176.400')] +[2026-06-06 18:06:52,576][187799] Updated weights for policy 0, policy_version 1984 (0.0026) +[2026-06-06 18:06:55,511][186392] Fps is (10 sec: 6553.4, 60 sec: 5870.9, 300 sec: 5643.4). Total num frames: 1015808. Throughput: 0: 5882.3. Samples: 1032704. Policy #0 lag: (min: 2.0, avg: 4.8, max: 66.0) +[2026-06-06 18:06:55,512][186392] Avg episode reward: [(0, '177.850')] +[2026-06-06 18:07:00,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6007.5, 300 sec: 5668.0). Total num frames: 1048576. Throughput: 0: 5814.1. Samples: 1049088. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:07:00,511][186392] Avg episode reward: [(0, '201.650')] +[2026-06-06 18:07:00,517][187720] Saving new best policy, reward=201.650! +[2026-06-06 18:07:04,091][187799] Updated weights for policy 0, policy_version 2102 (0.0014) +[2026-06-06 18:07:05,511][186392] Fps is (10 sec: 6553.6, 60 sec: 6007.4, 300 sec: 5691.3). Total num frames: 1081344. Throughput: 0: 5779.8. Samples: 1082368. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:07:05,513][186392] Avg episode reward: [(0, '202.950')] +[2026-06-06 18:07:05,519][187720] Saving new best policy, reward=202.950! +[2026-06-06 18:07:09,584][187720] Signal inference workers to stop experience collection... (100 times) +[2026-06-06 18:07:09,614][187799] InferenceWorker_p0-w0: stopping experience collection (100 times) +[2026-06-06 18:07:09,754][187720] Signal inference workers to resume experience collection... (100 times) +[2026-06-06 18:07:09,755][187799] InferenceWorker_p0-w0: resuming experience collection (100 times) +[2026-06-06 18:07:10,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6007.5, 300 sec: 5713.4). Total num frames: 1114112. Throughput: 0: 5745.8. Samples: 1115136. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:07:10,512][186392] Avg episode reward: [(0, '207.900')] +[2026-06-06 18:07:10,519][187720] Saving new best policy, reward=207.900! +[2026-06-06 18:07:15,511][186392] Fps is (10 sec: 3276.8, 60 sec: 5461.3, 300 sec: 5570.6). Total num frames: 1114112. Throughput: 0: 5677.5. Samples: 1131008. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:07:15,513][186392] Avg episode reward: [(0, '194.400')] +[2026-06-06 18:07:15,626][187799] Updated weights for policy 0, policy_version 2192 (0.0018) +[2026-06-06 18:07:20,510][186392] Fps is (10 sec: 3276.8, 60 sec: 5461.3, 300 sec: 5594.5). Total num frames: 1146880. Throughput: 0: 5700.3. Samples: 1165824. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:07:20,512][186392] Avg episode reward: [(0, '200.900')] +[2026-06-06 18:07:21,750][187799] Updated weights for policy 0, policy_version 2295 (0.0017) +[2026-06-06 18:07:25,511][186392] Fps is (10 sec: 6553.8, 60 sec: 5461.3, 300 sec: 5617.4). Total num frames: 1179648. Throughput: 0: 5666.1. Samples: 1199616. Policy #0 lag: (min: 11.0, avg: 14.8, max: 75.0) +[2026-06-06 18:07:25,512][186392] Avg episode reward: [(0, '211.100')] +[2026-06-06 18:07:25,520][187720] Saving new best policy, reward=211.100! +[2026-06-06 18:07:30,511][186392] Fps is (10 sec: 6553.4, 60 sec: 5461.3, 300 sec: 5639.1). Total num frames: 1212416. Throughput: 0: 5654.7. Samples: 1216000. Policy #0 lag: (min: 2.0, avg: 5.6, max: 66.0) +[2026-06-06 18:07:30,512][186392] Avg episode reward: [(0, '210.450')] +[2026-06-06 18:07:33,095][187799] Updated weights for policy 0, policy_version 2416 (0.0018) +[2026-06-06 18:07:35,511][186392] Fps is (10 sec: 6553.7, 60 sec: 5597.9, 300 sec: 5659.9). Total num frames: 1245184. Throughput: 0: 5609.3. Samples: 1249792. Policy #0 lag: (min: 10.0, avg: 12.6, max: 74.0) +[2026-06-06 18:07:35,512][186392] Avg episode reward: [(0, '184.000')] +[2026-06-06 18:07:40,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6007.5, 300 sec: 5679.8). Total num frames: 1277952. Throughput: 0: 5620.6. Samples: 1285632. Policy #0 lag: (min: 4.0, avg: 6.7, max: 68.0) +[2026-06-06 18:07:40,512][186392] Avg episode reward: [(0, '190.450')] +[2026-06-06 18:07:44,070][187799] Updated weights for policy 0, policy_version 2512 (0.0023) +[2026-06-06 18:07:45,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6007.5, 300 sec: 5698.8). Total num frames: 1310720. Throughput: 0: 5666.1. Samples: 1304064. Policy #0 lag: (min: 5.0, avg: 7.7, max: 69.0) +[2026-06-06 18:07:45,512][186392] Avg episode reward: [(0, '205.800')] +[2026-06-06 18:07:50,511][186392] Fps is (10 sec: 5734.4, 60 sec: 5870.9, 300 sec: 5682.1). Total num frames: 1335296. Throughput: 0: 5654.8. Samples: 1336832. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0) +[2026-06-06 18:07:50,512][186392] Avg episode reward: [(0, '216.050')] +[2026-06-06 18:07:50,535][187720] Saving new best policy, reward=216.050! +[2026-06-06 18:07:50,577][187799] Updated weights for policy 0, policy_version 2624 (0.0016) +[2026-06-06 18:07:55,511][186392] Fps is (10 sec: 4095.9, 60 sec: 5597.9, 300 sec: 5632.0). Total num frames: 1351680. Throughput: 0: 5723.0. Samples: 1372672. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:07:55,512][186392] Avg episode reward: [(0, '215.250')] +[2026-06-06 18:08:00,510][186392] Fps is (10 sec: 4096.1, 60 sec: 5461.3, 300 sec: 5617.4). Total num frames: 1376256. Throughput: 0: 5757.2. Samples: 1390080. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:08:00,512][186392] Avg episode reward: [(0, '221.100')] +[2026-06-06 18:08:00,518][187720] Saving new best policy, reward=221.100! +[2026-06-06 18:08:01,419][187799] Updated weights for policy 0, policy_version 2742 (0.0021) +[2026-06-06 18:08:05,510][186392] Fps is (10 sec: 5734.5, 60 sec: 5461.4, 300 sec: 5636.1). Total num frames: 1409024. Throughput: 0: 5791.3. Samples: 1426432. Policy #0 lag: (min: 14.0, avg: 16.7, max: 78.0) +[2026-06-06 18:08:05,511][186392] Avg episode reward: [(0, '229.100')] +[2026-06-06 18:08:05,518][187720] Saving new best policy, reward=229.100! +[2026-06-06 18:08:10,510][186392] Fps is (10 sec: 6553.6, 60 sec: 5461.3, 300 sec: 5654.1). Total num frames: 1441792. Throughput: 0: 5927.9. Samples: 1466368. Policy #0 lag: (min: 1.0, avg: 3.7, max: 65.0) +[2026-06-06 18:08:10,511][186392] Avg episode reward: [(0, '230.850')] +[2026-06-06 18:08:10,516][187720] Saving new best policy, reward=230.850! +[2026-06-06 18:08:11,213][187799] Updated weights for policy 0, policy_version 2848 (0.0020) +[2026-06-06 18:08:15,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6007.5, 300 sec: 5671.4). Total num frames: 1474560. Throughput: 0: 5962.0. Samples: 1484288. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0) +[2026-06-06 18:08:15,511][186392] Avg episode reward: [(0, '250.500')] +[2026-06-06 18:08:15,516][187720] Saving new best policy, reward=250.500! +[2026-06-06 18:08:16,781][187799] Updated weights for policy 0, policy_version 2944 (0.0021) +[2026-06-06 18:08:20,511][186392] Fps is (10 sec: 6553.4, 60 sec: 6007.4, 300 sec: 5688.0). Total num frames: 1507328. Throughput: 0: 6087.1. Samples: 1523712. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:08:20,513][186392] Avg episode reward: [(0, '248.900')] +[2026-06-06 18:08:25,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6007.5, 300 sec: 5704.1). Total num frames: 1540096. Throughput: 0: 6155.4. Samples: 1562624. Policy #0 lag: (min: 12.0, avg: 14.7, max: 76.0) +[2026-06-06 18:08:25,512][186392] Avg episode reward: [(0, '249.450')] +[2026-06-06 18:08:26,703][187799] Updated weights for policy 0, policy_version 3060 (0.0020) +[2026-06-06 18:08:30,510][186392] Fps is (10 sec: 6553.8, 60 sec: 6007.5, 300 sec: 5719.5). Total num frames: 1572864. Throughput: 0: 6155.4. Samples: 1581056. Policy #0 lag: (min: 7.0, avg: 9.8, max: 71.0) +[2026-06-06 18:08:30,511][186392] Avg episode reward: [(0, '217.900')] +[2026-06-06 18:08:35,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6007.5, 300 sec: 5734.4). Total num frames: 1605632. Throughput: 0: 6314.7. Samples: 1620992. Policy #0 lag: (min: 1.0, avg: 3.7, max: 65.0) +[2026-06-06 18:08:35,511][186392] Avg episode reward: [(0, '215.600')] +[2026-06-06 18:08:36,817][187799] Updated weights for policy 0, policy_version 3168 (0.0019) +[2026-06-06 18:08:40,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6007.5, 300 sec: 5748.8). Total num frames: 1638400. Throughput: 0: 6348.8. Samples: 1658368. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:08:40,512][186392] Avg episode reward: [(0, '218.200')] +[2026-06-06 18:08:41,584][187720] Signal inference workers to stop experience collection... (150 times) +[2026-06-06 18:08:41,613][187799] InferenceWorker_p0-w0: stopping experience collection (150 times) +[2026-06-06 18:08:41,733][187720] Signal inference workers to resume experience collection... (150 times) +[2026-06-06 18:08:41,734][187799] InferenceWorker_p0-w0: resuming experience collection (150 times) +[2026-06-06 18:08:42,336][187799] Updated weights for policy 0, policy_version 3264 (0.0018) +[2026-06-06 18:08:45,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6007.5, 300 sec: 5762.7). Total num frames: 1671168. Throughput: 0: 6371.5. Samples: 1676800. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:08:45,512][186392] Avg episode reward: [(0, '229.800')] +[2026-06-06 18:08:50,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6144.0, 300 sec: 5776.1). Total num frames: 1703936. Throughput: 0: 6405.7. Samples: 1714688. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:08:50,514][186392] Avg episode reward: [(0, '229.300')] +[2026-06-06 18:08:52,635][187799] Updated weights for policy 0, policy_version 3380 (0.0016) +[2026-06-06 18:08:55,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6417.1, 300 sec: 5887.1). Total num frames: 1736704. Throughput: 0: 6394.3. Samples: 1754112. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:08:55,512][186392] Avg episode reward: [(0, '244.350')] +[2026-06-06 18:09:00,511][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 5887.1). Total num frames: 1769472. Throughput: 0: 6360.1. Samples: 1770496. Policy #0 lag: (min: 11.0, avg: 13.7, max: 75.0) +[2026-06-06 18:09:00,513][186392] Avg episode reward: [(0, '248.800')] +[2026-06-06 18:09:03,110][187799] Updated weights for policy 0, policy_version 3488 (0.0017) +[2026-06-06 18:09:05,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 5887.1). Total num frames: 1802240. Throughput: 0: 6280.6. Samples: 1806336. Policy #0 lag: (min: 13.0, avg: 15.8, max: 77.0) +[2026-06-06 18:09:05,512][186392] Avg episode reward: [(0, '274.300')] +[2026-06-06 18:09:05,518][187720] Saving new best policy, reward=274.300! +[2026-06-06 18:09:09,353][187799] Updated weights for policy 0, policy_version 3583 (0.0018) +[2026-06-06 18:09:10,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 5887.1). Total num frames: 1835008. Throughput: 0: 6166.8. Samples: 1840128. Policy #0 lag: (min: 12.0, avg: 14.7, max: 76.0) +[2026-06-06 18:09:10,512][186392] Avg episode reward: [(0, '278.550')] +[2026-06-06 18:09:10,516][187720] Saving new best policy, reward=278.550! +[2026-06-06 18:09:15,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6553.6, 300 sec: 5887.1). Total num frames: 1867776. Throughput: 0: 6178.1. Samples: 1859072. Policy #0 lag: (min: 9.0, avg: 11.8, max: 73.0) +[2026-06-06 18:09:15,512][186392] Avg episode reward: [(0, '295.500')] +[2026-06-06 18:09:15,518][187720] Saving new best policy, reward=295.500! +[2026-06-06 18:09:20,282][187799] Updated weights for policy 0, policy_version 3680 (0.0017) +[2026-06-06 18:09:20,510][186392] Fps is (10 sec: 5734.5, 60 sec: 6417.1, 300 sec: 5859.4). Total num frames: 1892352. Throughput: 0: 6053.0. Samples: 1893376. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:09:20,511][186392] Avg episode reward: [(0, '285.450')] +[2026-06-06 18:09:25,511][186392] Fps is (10 sec: 3276.8, 60 sec: 6007.5, 300 sec: 5776.1). Total num frames: 1900544. Throughput: 0: 5962.0. Samples: 1926656. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:09:25,512][186392] Avg episode reward: [(0, '279.600')] +[2026-06-06 18:09:26,433][187799] Updated weights for policy 0, policy_version 3767 (0.0014) +[2026-06-06 18:09:30,511][186392] Fps is (10 sec: 4095.9, 60 sec: 6007.5, 300 sec: 5859.4). Total num frames: 1933312. Throughput: 0: 5927.8. Samples: 1943552. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:09:30,512][186392] Avg episode reward: [(0, '280.200')] +[2026-06-06 18:09:35,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6007.5, 300 sec: 5887.1). Total num frames: 1966080. Throughput: 0: 5836.8. Samples: 1977344. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:09:35,513][186392] Avg episode reward: [(0, '271.900')] +[2026-06-06 18:09:37,774][187799] Updated weights for policy 0, policy_version 3872 (0.0016) +[2026-06-06 18:09:40,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6007.4, 300 sec: 5887.1). Total num frames: 1998848. Throughput: 0: 5700.2. Samples: 2010624. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:09:40,514][186392] Avg episode reward: [(0, '241.950')] +[2026-06-06 18:09:45,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6007.5, 300 sec: 5887.1). Total num frames: 2031616. Throughput: 0: 5757.2. Samples: 2029568. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0) +[2026-06-06 18:09:45,512][186392] Avg episode reward: [(0, '233.050')] +[2026-06-06 18:09:49,078][187799] Updated weights for policy 0, policy_version 3984 (0.0016) +[2026-06-06 18:09:50,510][186392] Fps is (10 sec: 6553.9, 60 sec: 6007.5, 300 sec: 5887.1). Total num frames: 2064384. Throughput: 0: 5711.7. Samples: 2063360. Policy #0 lag: (min: 5.0, avg: 7.8, max: 69.0) +[2026-06-06 18:09:50,512][186392] Avg episode reward: [(0, '249.000')] +[2026-06-06 18:09:55,407][187799] Updated weights for policy 0, policy_version 4087 (0.0019) +[2026-06-06 18:09:55,510][186392] Fps is (10 sec: 5734.4, 60 sec: 5871.0, 300 sec: 5887.1). Total num frames: 2088960. Throughput: 0: 5711.7. Samples: 2097152. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:09:55,512][186392] Avg episode reward: [(0, '279.950')] +[2026-06-06 18:10:00,510][186392] Fps is (10 sec: 3276.8, 60 sec: 5461.4, 300 sec: 5887.1). Total num frames: 2097152. Throughput: 0: 5643.4. Samples: 2113024. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:10:00,511][186392] Avg episode reward: [(0, '271.200')] +[2026-06-06 18:10:05,511][186392] Fps is (10 sec: 4095.9, 60 sec: 5461.3, 300 sec: 5887.1). Total num frames: 2129920. Throughput: 0: 5677.5. Samples: 2148864. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-06 18:10:05,512][186392] Avg episode reward: [(0, '254.700')] +[2026-06-06 18:10:06,598][187799] Updated weights for policy 0, policy_version 4192 (0.0022) +[2026-06-06 18:10:10,511][186392] Fps is (10 sec: 6553.3, 60 sec: 5461.3, 300 sec: 5887.1). Total num frames: 2162688. Throughput: 0: 5666.1. Samples: 2181632. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:10:10,513][186392] Avg episode reward: [(0, '259.350')] +[2026-06-06 18:10:12,334][187720] Signal inference workers to stop experience collection... (200 times) +[2026-06-06 18:10:12,366][187799] InferenceWorker_p0-w0: stopping experience collection (200 times) +[2026-06-06 18:10:12,519][187720] Signal inference workers to resume experience collection... (200 times) +[2026-06-06 18:10:12,520][187799] InferenceWorker_p0-w0: resuming experience collection (200 times) +[2026-06-06 18:10:15,511][186392] Fps is (10 sec: 6553.7, 60 sec: 5461.3, 300 sec: 5887.1). Total num frames: 2195456. Throughput: 0: 5654.8. Samples: 2198016. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0) +[2026-06-06 18:10:15,514][186392] Avg episode reward: [(0, '278.500')] +[2026-06-06 18:10:18,048][187799] Updated weights for policy 0, policy_version 4304 (0.0020) +[2026-06-06 18:10:20,511][186392] Fps is (10 sec: 6553.7, 60 sec: 5597.8, 300 sec: 5887.1). Total num frames: 2228224. Throughput: 0: 5643.4. Samples: 2231296. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:10:20,513][186392] Avg episode reward: [(0, '285.500')] +[2026-06-06 18:10:24,142][187799] Updated weights for policy 0, policy_version 4414 (0.0019) +[2026-06-06 18:10:25,511][186392] Fps is (10 sec: 6553.6, 60 sec: 6007.5, 300 sec: 5887.1). Total num frames: 2260992. Throughput: 0: 5700.3. Samples: 2267136. Policy #0 lag: (min: 5.0, avg: 7.6, max: 69.0) +[2026-06-06 18:10:25,512][186392] Avg episode reward: [(0, '294.700')] +[2026-06-06 18:10:30,511][186392] Fps is (10 sec: 6553.7, 60 sec: 6007.5, 300 sec: 5887.1). Total num frames: 2293760. Throughput: 0: 5666.1. Samples: 2284544. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-06 18:10:30,512][186392] Avg episode reward: [(0, '277.150')] +[2026-06-06 18:10:35,510][186392] Fps is (10 sec: 4915.3, 60 sec: 5734.4, 300 sec: 5831.6). Total num frames: 2310144. Throughput: 0: 5677.5. Samples: 2318848. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:10:35,511][186392] Avg episode reward: [(0, '310.600')] +[2026-06-06 18:10:35,564][187799] Updated weights for policy 0, policy_version 4528 (0.0019) +[2026-06-06 18:10:35,887][187720] Saving new best policy, reward=310.600! +[2026-06-06 18:10:40,511][186392] Fps is (10 sec: 3276.8, 60 sec: 5461.4, 300 sec: 5776.1). Total num frames: 2326528. Throughput: 0: 5700.2. Samples: 2353664. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:10:40,513][186392] Avg episode reward: [(0, '321.900')] +[2026-06-06 18:10:40,518][187720] Saving new best policy, reward=321.900! +[2026-06-06 18:10:45,511][186392] Fps is (10 sec: 4915.1, 60 sec: 5461.3, 300 sec: 5776.1). Total num frames: 2359296. Throughput: 0: 5734.4. Samples: 2371072. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:10:45,515][186392] Avg episode reward: [(0, '339.000')] +[2026-06-06 18:10:45,520][187720] Saving new best policy, reward=339.000! +[2026-06-06 18:10:46,253][187799] Updated weights for policy 0, policy_version 4624 (0.0019) +[2026-06-06 18:10:50,511][186392] Fps is (10 sec: 6553.6, 60 sec: 5461.3, 300 sec: 5859.4). Total num frames: 2392064. Throughput: 0: 5723.0. Samples: 2406400. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:10:50,512][186392] Avg episode reward: [(0, '329.000')] +[2026-06-06 18:10:52,375][187799] Updated weights for policy 0, policy_version 4733 (0.0017) +[2026-06-06 18:10:55,510][186392] Fps is (10 sec: 6553.9, 60 sec: 5597.9, 300 sec: 5887.1). Total num frames: 2424832. Throughput: 0: 5780.0. Samples: 2441728. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:10:55,511][186392] Avg episode reward: [(0, '362.450')] +[2026-06-06 18:10:55,516][187720] Saving new best policy, reward=362.450! +[2026-06-06 18:11:00,510][186392] Fps is (10 sec: 6553.8, 60 sec: 6007.5, 300 sec: 5887.1). Total num frames: 2457600. Throughput: 0: 5802.7. Samples: 2459136. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:11:00,511][186392] Avg episode reward: [(0, '356.300')] +[2026-06-06 18:11:03,264][187799] Updated weights for policy 0, policy_version 4848 (0.0022) +[2026-06-06 18:11:05,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6007.5, 300 sec: 5887.1). Total num frames: 2490368. Throughput: 0: 5859.6. Samples: 2494976. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:11:05,512][186392] Avg episode reward: [(0, '296.350')] +[2026-06-06 18:11:10,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6007.5, 300 sec: 5887.1). Total num frames: 2523136. Throughput: 0: 5859.6. Samples: 2530816. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:11:10,512][186392] Avg episode reward: [(0, '298.700')] +[2026-06-06 18:11:13,622][187799] Updated weights for policy 0, policy_version 4944 (0.0016) +[2026-06-06 18:11:15,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6007.5, 300 sec: 5887.1). Total num frames: 2555904. Throughput: 0: 5939.2. Samples: 2551808. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:11:15,513][186392] Avg episode reward: [(0, '289.050')] +[2026-06-06 18:11:19,498][187799] Updated weights for policy 0, policy_version 5052 (0.0016) +[2026-06-06 18:11:20,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6007.5, 300 sec: 5887.1). Total num frames: 2588672. Throughput: 0: 5996.1. Samples: 2588672. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:11:20,511][186392] Avg episode reward: [(0, '323.550')] +[2026-06-06 18:11:25,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6007.5, 300 sec: 5887.1). Total num frames: 2621440. Throughput: 0: 5996.1. Samples: 2623488. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0) +[2026-06-06 18:11:25,512][186392] Avg episode reward: [(0, '314.300')] +[2026-06-06 18:11:30,085][187799] Updated weights for policy 0, policy_version 5172 (0.0020) +[2026-06-06 18:11:30,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6007.5, 300 sec: 5914.9). Total num frames: 2654208. Throughput: 0: 6041.6. Samples: 2642944. Policy #0 lag: (min: 2.0, avg: 4.6, max: 66.0) +[2026-06-06 18:11:30,513][186392] Avg episode reward: [(0, '311.600')] +[2026-06-06 18:11:35,510][186392] Fps is (10 sec: 6553.8, 60 sec: 6280.5, 300 sec: 5998.2). Total num frames: 2686976. Throughput: 0: 6098.5. Samples: 2680832. Policy #0 lag: (min: 12.0, avg: 14.7, max: 76.0) +[2026-06-06 18:11:35,511][186392] Avg episode reward: [(0, '324.450')] +[2026-06-06 18:11:40,378][187799] Updated weights for policy 0, policy_version 5280 (0.0018) +[2026-06-06 18:11:40,510][186392] Fps is (10 sec: 4915.2, 60 sec: 6280.5, 300 sec: 5942.7). Total num frames: 2703360. Throughput: 0: 6132.6. Samples: 2717696. Policy #0 lag: (min: 10.0, avg: 12.8, max: 74.0) +[2026-06-06 18:11:40,512][186392] Avg episode reward: [(0, '369.650')] +[2026-06-06 18:11:40,791][187720] Saving new best policy, reward=369.650! +[2026-06-06 18:11:45,511][186392] Fps is (10 sec: 3276.7, 60 sec: 6007.5, 300 sec: 5887.1). Total num frames: 2719744. Throughput: 0: 6155.3. Samples: 2736128. Policy #0 lag: (min: 10.0, avg: 12.8, max: 74.0) +[2026-06-06 18:11:45,515][186392] Avg episode reward: [(0, '356.150')] +[2026-06-06 18:11:45,648][187720] Signal inference workers to stop experience collection... (250 times) +[2026-06-06 18:11:45,679][187799] InferenceWorker_p0-w0: stopping experience collection (250 times) +[2026-06-06 18:11:45,817][187720] Signal inference workers to resume experience collection... (250 times) +[2026-06-06 18:11:45,817][187799] InferenceWorker_p0-w0: resuming experience collection (250 times) +[2026-06-06 18:11:50,510][186392] Fps is (10 sec: 4915.2, 60 sec: 6007.5, 300 sec: 5887.1). Total num frames: 2752512. Throughput: 0: 6144.0. Samples: 2771456. Policy #0 lag: (min: 4.0, avg: 6.6, max: 68.0) +[2026-06-06 18:11:50,511][186392] Avg episode reward: [(0, '389.500')] +[2026-06-06 18:11:50,516][187720] Saving new best policy, reward=389.500! +[2026-06-06 18:11:51,400][187799] Updated weights for policy 0, policy_version 5408 (0.0016) +[2026-06-06 18:11:55,510][186392] Fps is (10 sec: 6553.8, 60 sec: 6007.4, 300 sec: 5887.1). Total num frames: 2785280. Throughput: 0: 6132.6. Samples: 2806784. Policy #0 lag: (min: 14.0, avg: 16.7, max: 78.0) +[2026-06-06 18:11:55,511][186392] Avg episode reward: [(0, '351.950')] +[2026-06-06 18:11:57,404][187799] Updated weights for policy 0, policy_version 5504 (0.0018) +[2026-06-06 18:12:00,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6007.4, 300 sec: 5887.1). Total num frames: 2818048. Throughput: 0: 6030.2. Samples: 2823168. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:12:00,514][186392] Avg episode reward: [(0, '382.400')] +[2026-06-06 18:12:05,511][186392] Fps is (10 sec: 6553.3, 60 sec: 6007.4, 300 sec: 5887.1). Total num frames: 2850816. Throughput: 0: 6018.8. Samples: 2859520. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:12:05,515][186392] Avg episode reward: [(0, '361.200')] +[2026-06-06 18:12:07,827][187799] Updated weights for policy 0, policy_version 5616 (0.0017) +[2026-06-06 18:12:10,511][186392] Fps is (10 sec: 6553.6, 60 sec: 6007.5, 300 sec: 5998.2). Total num frames: 2883584. Throughput: 0: 6098.5. Samples: 2897920. Policy #0 lag: (min: 31.0, avg: 33.7, max: 95.0) +[2026-06-06 18:12:10,512][186392] Avg episode reward: [(0, '343.850')] +[2026-06-06 18:12:15,511][186392] Fps is (10 sec: 6553.7, 60 sec: 6007.5, 300 sec: 5998.2). Total num frames: 2916352. Throughput: 0: 6087.1. Samples: 2916864. Policy #0 lag: (min: 63.0, avg: 66.7, max: 127.0) +[2026-06-06 18:12:15,514][186392] Avg episode reward: [(0, '341.000')] +[2026-06-06 18:12:18,141][187799] Updated weights for policy 0, policy_version 5712 (0.0018) +[2026-06-06 18:12:20,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6007.4, 300 sec: 5998.2). Total num frames: 2949120. Throughput: 0: 6030.2. Samples: 2952192. Policy #0 lag: (min: 63.0, avg: 66.7, max: 127.0) +[2026-06-06 18:12:20,512][186392] Avg episode reward: [(0, '345.550')] +[2026-06-06 18:12:24,014][187799] Updated weights for policy 0, policy_version 5824 (0.0015) +[2026-06-06 18:12:25,511][186392] Fps is (10 sec: 6553.7, 60 sec: 6007.5, 300 sec: 5998.2). Total num frames: 2981888. Throughput: 0: 6030.2. Samples: 2989056. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:12:25,512][186392] Avg episode reward: [(0, '365.400')] +[2026-06-06 18:12:30,511][186392] Fps is (10 sec: 6553.6, 60 sec: 6007.5, 300 sec: 5998.2). Total num frames: 3014656. Throughput: 0: 6075.7. Samples: 3009536. Policy #0 lag: (min: 32.0, avg: 34.6, max: 96.0) +[2026-06-06 18:12:30,513][186392] Avg episode reward: [(0, '375.050')] +[2026-06-06 18:12:34,163][187799] Updated weights for policy 0, policy_version 5936 (0.0018) +[2026-06-06 18:12:35,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6007.5, 300 sec: 5998.2). Total num frames: 3047424. Throughput: 0: 6144.0. Samples: 3047936. Policy #0 lag: (min: 32.0, avg: 34.6, max: 96.0) +[2026-06-06 18:12:35,511][186392] Avg episode reward: [(0, '399.850')] +[2026-06-06 18:12:35,518][187720] Saving new best policy, reward=399.850! +[2026-06-06 18:12:40,511][186392] Fps is (10 sec: 6553.6, 60 sec: 6280.5, 300 sec: 5998.2). Total num frames: 3080192. Throughput: 0: 6178.1. Samples: 3084800. Policy #0 lag: (min: 10.0, avg: 13.7, max: 74.0) +[2026-06-06 18:12:40,513][186392] Avg episode reward: [(0, '451.700')] +[2026-06-06 18:12:40,519][187720] Saving new best policy, reward=451.700! +[2026-06-06 18:12:44,434][187799] Updated weights for policy 0, policy_version 6032 (0.0019) +[2026-06-06 18:12:45,511][186392] Fps is (10 sec: 6553.2, 60 sec: 6553.6, 300 sec: 6026.0). Total num frames: 3112960. Throughput: 0: 6223.6. Samples: 3103232. Policy #0 lag: (min: 16.0, avg: 18.8, max: 80.0) +[2026-06-06 18:12:45,515][186392] Avg episode reward: [(0, '482.100')] +[2026-06-06 18:12:45,524][187720] Saving new best policy, reward=482.100! +[2026-06-06 18:12:50,510][186392] Fps is (10 sec: 5734.6, 60 sec: 6417.1, 300 sec: 6053.8). Total num frames: 3137536. Throughput: 0: 6201.0. Samples: 3138560. Policy #0 lag: (min: 31.0, avg: 33.8, max: 95.0) +[2026-06-06 18:12:50,511][186392] Avg episode reward: [(0, '456.850')] +[2026-06-06 18:12:50,568][187799] Updated weights for policy 0, policy_version 6139 (0.0015) +[2026-06-06 18:12:55,510][186392] Fps is (10 sec: 4096.2, 60 sec: 6144.0, 300 sec: 6026.0). Total num frames: 3153920. Throughput: 0: 6155.4. Samples: 3174912. Policy #0 lag: (min: 31.0, avg: 33.8, max: 95.0) +[2026-06-06 18:12:55,512][186392] Avg episode reward: [(0, '461.850')] +[2026-06-06 18:13:00,510][186392] Fps is (10 sec: 4096.0, 60 sec: 6007.5, 300 sec: 5998.2). Total num frames: 3178496. Throughput: 0: 6121.3. Samples: 3192320. Policy #0 lag: (min: 31.0, avg: 33.8, max: 95.0) +[2026-06-06 18:13:00,511][186392] Avg episode reward: [(0, '493.550')] +[2026-06-06 18:13:00,516][187720] Saving new best policy, reward=493.550! +[2026-06-06 18:13:01,111][187799] Updated weights for policy 0, policy_version 6240 (0.0015) +[2026-06-06 18:13:05,511][186392] Fps is (10 sec: 5734.3, 60 sec: 6007.5, 300 sec: 5998.2). Total num frames: 3211264. Throughput: 0: 6144.0. Samples: 3228672. Policy #0 lag: (min: 10.0, avg: 12.8, max: 74.0) +[2026-06-06 18:13:05,512][186392] Avg episode reward: [(0, '546.300')] +[2026-06-06 18:13:05,517][187720] Saving new best policy, reward=546.300! +[2026-06-06 18:13:06,823][187799] Updated weights for policy 0, policy_version 6332 (0.0017) +[2026-06-06 18:13:10,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6007.5, 300 sec: 5998.2). Total num frames: 3244032. Throughput: 0: 6132.6. Samples: 3265024. Policy #0 lag: (min: 63.0, avg: 65.8, max: 127.0) +[2026-06-06 18:13:10,512][186392] Avg episode reward: [(0, '524.800')] +[2026-06-06 18:13:15,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6007.5, 300 sec: 5998.2). Total num frames: 3276800. Throughput: 0: 6053.0. Samples: 3281920. Policy #0 lag: (min: 63.0, avg: 65.8, max: 127.0) +[2026-06-06 18:13:15,513][186392] Avg episode reward: [(0, '493.500')] +[2026-06-06 18:13:16,930][187720] Signal inference workers to stop experience collection... (300 times) +[2026-06-06 18:13:16,959][187799] InferenceWorker_p0-w0: stopping experience collection (300 times) +[2026-06-06 18:13:17,133][187720] Signal inference workers to resume experience collection... (300 times) +[2026-06-06 18:13:17,134][187799] InferenceWorker_p0-w0: resuming experience collection (300 times) +[2026-06-06 18:13:17,310][187799] Updated weights for policy 0, policy_version 6432 (0.0017) +[2026-06-06 18:13:20,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6007.5, 300 sec: 5998.2). Total num frames: 3309568. Throughput: 0: 6030.2. Samples: 3319296. Policy #0 lag: (min: 10.0, avg: 12.8, max: 74.0) +[2026-06-06 18:13:20,511][186392] Avg episode reward: [(0, '506.150')] +[2026-06-06 18:13:23,185][187799] Updated weights for policy 0, policy_version 6522 (0.0016) +[2026-06-06 18:13:25,511][186392] Fps is (10 sec: 6553.7, 60 sec: 6007.5, 300 sec: 5998.2). Total num frames: 3342336. Throughput: 0: 6007.5. Samples: 3355136. Policy #0 lag: (min: 51.0, avg: 53.8, max: 115.0) +[2026-06-06 18:13:25,512][186392] Avg episode reward: [(0, '442.900')] +[2026-06-06 18:13:30,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6007.5, 300 sec: 5998.2). Total num frames: 3375104. Throughput: 0: 6030.3. Samples: 3374592. Policy #0 lag: (min: 51.0, avg: 53.8, max: 115.0) +[2026-06-06 18:13:30,512][186392] Avg episode reward: [(0, '463.550')] +[2026-06-06 18:13:33,695][187799] Updated weights for policy 0, policy_version 6640 (0.0018) +[2026-06-06 18:13:35,511][186392] Fps is (10 sec: 6553.6, 60 sec: 6007.4, 300 sec: 5998.2). Total num frames: 3407872. Throughput: 0: 6018.8. Samples: 3409408. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:13:35,513][186392] Avg episode reward: [(0, '453.350')] +[2026-06-06 18:13:40,511][186392] Fps is (10 sec: 6553.4, 60 sec: 6007.4, 300 sec: 5998.2). Total num frames: 3440640. Throughput: 0: 6041.5. Samples: 3446784. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:13:40,513][186392] Avg episode reward: [(0, '491.850')] +[2026-06-06 18:13:40,519][187720] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride7_seed12/checkpoint_p0/checkpoint_000006720_3440640.pth... +[2026-06-06 18:13:43,757][187799] Updated weights for policy 0, policy_version 6736 (0.0013) +[2026-06-06 18:13:45,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6007.5, 300 sec: 5998.2). Total num frames: 3473408. Throughput: 0: 6109.8. Samples: 3467264. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-06 18:13:45,512][186392] Avg episode reward: [(0, '517.350')] +[2026-06-06 18:13:49,354][187799] Updated weights for policy 0, policy_version 6841 (0.0016) +[2026-06-06 18:13:50,511][186392] Fps is (10 sec: 6553.9, 60 sec: 6144.0, 300 sec: 5998.2). Total num frames: 3506176. Throughput: 0: 6178.1. Samples: 3506688. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-06 18:13:50,512][186392] Avg episode reward: [(0, '532.500')] +[2026-06-06 18:13:55,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6417.1, 300 sec: 5998.2). Total num frames: 3538944. Throughput: 0: 6144.0. Samples: 3541504. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:13:55,511][186392] Avg episode reward: [(0, '587.150')] +[2026-06-06 18:13:55,517][187720] Saving new best policy, reward=587.150! +[2026-06-06 18:13:59,578][187799] Updated weights for policy 0, policy_version 6944 (0.0020) +[2026-06-06 18:14:00,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 5998.2). Total num frames: 3571712. Throughput: 0: 6212.3. Samples: 3561472. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:14:00,511][186392] Avg episode reward: [(0, '607.450')] +[2026-06-06 18:14:00,515][187720] Saving new best policy, reward=607.450! +[2026-06-06 18:14:05,418][187799] Updated weights for policy 0, policy_version 7037 (0.0017) +[2026-06-06 18:14:05,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 5998.2). Total num frames: 3604480. Throughput: 0: 6212.3. Samples: 3598848. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:14:05,512][186392] Avg episode reward: [(0, '574.750')] +[2026-06-06 18:14:10,510][186392] Fps is (10 sec: 5734.4, 60 sec: 6417.1, 300 sec: 5970.4). Total num frames: 3629056. Throughput: 0: 6257.8. Samples: 3636736. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:14:10,512][186392] Avg episode reward: [(0, '616.850')] +[2026-06-06 18:14:10,608][187720] Saving new best policy, reward=616.850! +[2026-06-06 18:14:15,486][187799] Updated weights for policy 0, policy_version 7136 (0.0016) +[2026-06-06 18:14:15,511][186392] Fps is (10 sec: 4915.1, 60 sec: 6280.5, 300 sec: 5970.4). Total num frames: 3653632. Throughput: 0: 6212.3. Samples: 3654144. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:14:15,512][186392] Avg episode reward: [(0, '548.500')] +[2026-06-06 18:14:20,510][186392] Fps is (10 sec: 4096.0, 60 sec: 6007.5, 300 sec: 5998.2). Total num frames: 3670016. Throughput: 0: 6269.2. Samples: 3691520. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:14:20,512][186392] Avg episode reward: [(0, '613.350')] +[2026-06-06 18:14:21,242][187799] Updated weights for policy 0, policy_version 7232 (0.0013) +[2026-06-06 18:14:25,511][186392] Fps is (10 sec: 4915.1, 60 sec: 6007.4, 300 sec: 5998.2). Total num frames: 3702784. Throughput: 0: 6291.9. Samples: 3729920. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:14:25,513][186392] Avg episode reward: [(0, '562.550')] +[2026-06-06 18:14:30,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6007.5, 300 sec: 5998.2). Total num frames: 3735552. Throughput: 0: 6223.7. Samples: 3747328. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:14:30,511][186392] Avg episode reward: [(0, '611.050')] +[2026-06-06 18:14:31,429][187799] Updated weights for policy 0, policy_version 7351 (0.0014) +[2026-06-06 18:14:35,510][186392] Fps is (10 sec: 6553.8, 60 sec: 6007.5, 300 sec: 5998.2). Total num frames: 3768320. Throughput: 0: 6212.3. Samples: 3786240. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:14:35,511][186392] Avg episode reward: [(0, '555.650')] +[2026-06-06 18:14:40,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6007.5, 300 sec: 5998.2). Total num frames: 3801088. Throughput: 0: 6314.6. Samples: 3825664. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-06 18:14:40,512][186392] Avg episode reward: [(0, '569.750')] +[2026-06-06 18:14:41,182][187720] Signal inference workers to stop experience collection... (350 times) +[2026-06-06 18:14:41,214][187799] InferenceWorker_p0-w0: stopping experience collection (350 times) +[2026-06-06 18:14:41,338][187720] Signal inference workers to resume experience collection... (350 times) +[2026-06-06 18:14:41,340][187799] InferenceWorker_p0-w0: resuming experience collection (350 times) +[2026-06-06 18:14:41,343][187799] Updated weights for policy 0, policy_version 7472 (0.0015) +[2026-06-06 18:14:45,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6007.5, 300 sec: 5998.2). Total num frames: 3833856. Throughput: 0: 6291.9. Samples: 3844608. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-06 18:14:45,511][186392] Avg episode reward: [(0, '608.050')] +[2026-06-06 18:14:46,883][187799] Updated weights for policy 0, policy_version 7550 (0.0016) +[2026-06-06 18:14:50,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6007.5, 300 sec: 6026.0). Total num frames: 3866624. Throughput: 0: 6314.7. Samples: 3883008. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:14:50,511][186392] Avg episode reward: [(0, '652.950')] +[2026-06-06 18:14:50,517][187720] Saving new best policy, reward=652.950! +[2026-06-06 18:14:55,511][186392] Fps is (10 sec: 6553.3, 60 sec: 6007.4, 300 sec: 6109.3). Total num frames: 3899392. Throughput: 0: 6348.7. Samples: 3922432. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:14:55,513][186392] Avg episode reward: [(0, '668.800')] +[2026-06-06 18:14:55,518][187720] Saving new best policy, reward=668.800! +[2026-06-06 18:14:56,536][187799] Updated weights for policy 0, policy_version 7648 (0.0018) +[2026-06-06 18:15:00,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6007.5, 300 sec: 6109.3). Total num frames: 3932160. Throughput: 0: 6360.2. Samples: 3940352. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0) +[2026-06-06 18:15:00,511][186392] Avg episode reward: [(0, '647.350')] +[2026-06-06 18:15:02,315][187799] Updated weights for policy 0, policy_version 7731 (0.0017) +[2026-06-06 18:15:05,510][186392] Fps is (10 sec: 6553.8, 60 sec: 6007.5, 300 sec: 6109.3). Total num frames: 3964928. Throughput: 0: 6348.8. Samples: 3977216. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0) +[2026-06-06 18:15:05,512][186392] Avg episode reward: [(0, '665.800')] +[2026-06-06 18:15:07,882][187799] Updated weights for policy 0, policy_version 7806 (0.0019) +[2026-06-06 18:15:10,511][186392] Fps is (10 sec: 6553.3, 60 sec: 6144.0, 300 sec: 6109.3). Total num frames: 3997696. Throughput: 0: 6280.6. Samples: 4012544. Policy #0 lag: (min: 5.0, avg: 8.9, max: 69.0) +[2026-06-06 18:15:10,512][186392] Avg episode reward: [(0, '700.250')] +[2026-06-06 18:15:10,517][187720] Saving new best policy, reward=700.250! +[2026-06-06 18:15:15,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6280.5, 300 sec: 6109.3). Total num frames: 4030464. Throughput: 0: 6303.3. Samples: 4030976. Policy #0 lag: (min: 5.0, avg: 8.9, max: 69.0) +[2026-06-06 18:15:15,512][186392] Avg episode reward: [(0, '667.300')] +[2026-06-06 18:15:18,747][187799] Updated weights for policy 0, policy_version 7920 (0.0016) +[2026-06-06 18:15:20,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6109.3). Total num frames: 4063232. Throughput: 0: 6189.5. Samples: 4064768. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:15:20,511][186392] Avg episode reward: [(0, '670.500')] +[2026-06-06 18:15:24,321][187799] Updated weights for policy 0, policy_version 7994 (0.0017) +[2026-06-06 18:15:25,511][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6109.3). Total num frames: 4096000. Throughput: 0: 6144.0. Samples: 4102144. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:15:25,512][186392] Avg episode reward: [(0, '714.550')] +[2026-06-06 18:15:25,518][187720] Saving new best policy, reward=714.550! +[2026-06-06 18:15:30,511][186392] Fps is (10 sec: 6553.4, 60 sec: 6553.6, 300 sec: 6164.8). Total num frames: 4128768. Throughput: 0: 6189.5. Samples: 4123136. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-06 18:15:30,513][186392] Avg episode reward: [(0, '715.850')] +[2026-06-06 18:15:30,518][187720] Saving new best policy, reward=715.850! +[2026-06-06 18:15:33,808][187799] Updated weights for policy 0, policy_version 8096 (0.0014) +[2026-06-06 18:15:35,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6220.4). Total num frames: 4161536. Throughput: 0: 6200.9. Samples: 4162048. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-06 18:15:35,512][186392] Avg episode reward: [(0, '690.200')] +[2026-06-06 18:15:39,122][187799] Updated weights for policy 0, policy_version 8191 (0.0018) +[2026-06-06 18:15:40,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6220.4). Total num frames: 4194304. Throughput: 0: 6200.9. Samples: 4201472. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:15:40,512][186392] Avg episode reward: [(0, '712.400')] +[2026-06-06 18:15:45,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6220.4). Total num frames: 4227072. Throughput: 0: 6257.7. Samples: 4221952. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:15:45,511][186392] Avg episode reward: [(0, '701.400')] +[2026-06-06 18:15:48,593][187799] Updated weights for policy 0, policy_version 8288 (0.0020) +[2026-06-06 18:15:50,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6220.4). Total num frames: 4259840. Throughput: 0: 6326.0. Samples: 4261888. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:15:50,511][186392] Avg episode reward: [(0, '753.900')] +[2026-06-06 18:15:50,515][187720] Saving new best policy, reward=753.900! +[2026-06-06 18:15:53,610][187799] Updated weights for policy 0, policy_version 8383 (0.0016) +[2026-06-06 18:15:55,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6553.6, 300 sec: 6220.4). Total num frames: 4292608. Throughput: 0: 6473.9. Samples: 4303872. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:15:55,513][186392] Avg episode reward: [(0, '765.500')] +[2026-06-06 18:15:55,519][187720] Saving new best policy, reward=765.500! +[2026-06-06 18:16:00,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6220.4). Total num frames: 4325376. Throughput: 0: 6553.6. Samples: 4325888. Policy #0 lag: (min: 13.0, avg: 15.7, max: 77.0) +[2026-06-06 18:16:00,512][186392] Avg episode reward: [(0, '793.950')] +[2026-06-06 18:16:00,518][187720] Saving new best policy, reward=793.950! +[2026-06-06 18:16:02,921][187799] Updated weights for policy 0, policy_version 8480 (0.0018) +[2026-06-06 18:16:05,511][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6220.4). Total num frames: 4358144. Throughput: 0: 6656.0. Samples: 4364288. Policy #0 lag: (min: 13.0, avg: 15.7, max: 77.0) +[2026-06-06 18:16:05,512][186392] Avg episode reward: [(0, '786.550')] +[2026-06-06 18:16:07,678][187720] Signal inference workers to stop experience collection... (400 times) +[2026-06-06 18:16:07,712][187799] InferenceWorker_p0-w0: stopping experience collection (400 times) +[2026-06-06 18:16:07,805][187720] Signal inference workers to resume experience collection... (400 times) +[2026-06-06 18:16:07,807][187799] InferenceWorker_p0-w0: resuming experience collection (400 times) +[2026-06-06 18:16:08,188][187799] Updated weights for policy 0, policy_version 8574 (0.0016) +[2026-06-06 18:16:10,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6220.4). Total num frames: 4390912. Throughput: 0: 6735.7. Samples: 4405248. Policy #0 lag: (min: 2.0, avg: 5.6, max: 66.0) +[2026-06-06 18:16:10,511][186392] Avg episode reward: [(0, '813.450')] +[2026-06-06 18:16:10,515][187720] Saving new best policy, reward=813.450! +[2026-06-06 18:16:15,511][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6220.4). Total num frames: 4423680. Throughput: 0: 6712.9. Samples: 4425216. Policy #0 lag: (min: 2.0, avg: 5.6, max: 66.0) +[2026-06-06 18:16:15,513][186392] Avg episode reward: [(0, '777.950')] +[2026-06-06 18:16:17,742][187799] Updated weights for policy 0, policy_version 8688 (0.0018) +[2026-06-06 18:16:20,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6553.6, 300 sec: 6220.4). Total num frames: 4456448. Throughput: 0: 6724.3. Samples: 4464640. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0) +[2026-06-06 18:16:20,512][186392] Avg episode reward: [(0, '796.800')] +[2026-06-06 18:16:22,889][187799] Updated weights for policy 0, policy_version 8768 (0.0019) +[2026-06-06 18:16:25,511][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6220.4). Total num frames: 4489216. Throughput: 0: 6781.1. Samples: 4506624. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0) +[2026-06-06 18:16:25,512][186392] Avg episode reward: [(0, '852.950')] +[2026-06-06 18:16:25,517][187720] Saving new best policy, reward=852.950! +[2026-06-06 18:16:30,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6220.4). Total num frames: 4521984. Throughput: 0: 6735.7. Samples: 4525056. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-06 18:16:30,511][186392] Avg episode reward: [(0, '864.800')] +[2026-06-06 18:16:30,515][187720] Saving new best policy, reward=864.800! +[2026-06-06 18:16:32,555][187799] Updated weights for policy 0, policy_version 8880 (0.0017) +[2026-06-06 18:16:35,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6275.9). Total num frames: 4554752. Throughput: 0: 6712.9. Samples: 4563968. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-06 18:16:35,512][186392] Avg episode reward: [(0, '876.150')] +[2026-06-06 18:16:35,518][187720] Saving new best policy, reward=876.150! +[2026-06-06 18:16:40,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6553.6, 300 sec: 6331.4). Total num frames: 4587520. Throughput: 0: 6667.4. Samples: 4603904. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:16:40,512][186392] Avg episode reward: [(0, '878.150')] +[2026-06-06 18:16:40,518][187720] Saving new best policy, reward=878.150! +[2026-06-06 18:16:42,074][187799] Updated weights for policy 0, policy_version 8976 (0.0020) +[2026-06-06 18:16:45,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6331.4). Total num frames: 4620288. Throughput: 0: 6633.2. Samples: 4624384. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:16:45,512][186392] Avg episode reward: [(0, '864.700')] +[2026-06-06 18:16:47,578][187799] Updated weights for policy 0, policy_version 9083 (0.0017) +[2026-06-06 18:16:50,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6553.6, 300 sec: 6331.4). Total num frames: 4653056. Throughput: 0: 6633.3. Samples: 4662784. Policy #0 lag: (min: 5.0, avg: 7.8, max: 69.0) +[2026-06-06 18:16:50,512][186392] Avg episode reward: [(0, '932.800')] +[2026-06-06 18:16:50,518][187720] Saving new best policy, reward=932.800! +[2026-06-06 18:16:55,511][186392] Fps is (10 sec: 6553.1, 60 sec: 6553.5, 300 sec: 6331.4). Total num frames: 4685824. Throughput: 0: 6587.6. Samples: 4701696. Policy #0 lag: (min: 5.0, avg: 7.8, max: 69.0) +[2026-06-06 18:16:55,514][186392] Avg episode reward: [(0, '867.800')] +[2026-06-06 18:16:57,377][187799] Updated weights for policy 0, policy_version 9170 (0.0013) +[2026-06-06 18:17:00,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6331.5). Total num frames: 4718592. Throughput: 0: 6576.4. Samples: 4721152. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:17:00,512][186392] Avg episode reward: [(0, '891.300')] +[2026-06-06 18:17:02,590][187799] Updated weights for policy 0, policy_version 9275 (0.0015) +[2026-06-06 18:17:05,510][186392] Fps is (10 sec: 6554.1, 60 sec: 6553.6, 300 sec: 6331.4). Total num frames: 4751360. Throughput: 0: 6610.5. Samples: 4762112. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:17:05,512][186392] Avg episode reward: [(0, '878.350')] +[2026-06-06 18:17:10,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6331.4). Total num frames: 4784128. Throughput: 0: 6621.9. Samples: 4804608. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:17:10,512][186392] Avg episode reward: [(0, '928.900')] +[2026-06-06 18:17:11,748][187799] Updated weights for policy 0, policy_version 9378 (0.0015) +[2026-06-06 18:17:15,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6331.4). Total num frames: 4816896. Throughput: 0: 6678.7. Samples: 4825600. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:17:15,512][186392] Avg episode reward: [(0, '1012.400')] +[2026-06-06 18:17:15,517][187720] Saving new best policy, reward=1012.400! +[2026-06-06 18:17:16,914][187799] Updated weights for policy 0, policy_version 9472 (0.0017) +[2026-06-06 18:17:20,511][186392] Fps is (10 sec: 6553.4, 60 sec: 6553.6, 300 sec: 6331.4). Total num frames: 4849664. Throughput: 0: 6690.1. Samples: 4865024. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-06 18:17:20,513][186392] Avg episode reward: [(0, '1057.500')] +[2026-06-06 18:17:20,518][187720] Saving new best policy, reward=1057.500! +[2026-06-06 18:17:25,511][186392] Fps is (10 sec: 6553.4, 60 sec: 6553.6, 300 sec: 6331.4). Total num frames: 4882432. Throughput: 0: 6712.9. Samples: 4905984. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-06 18:17:25,513][186392] Avg episode reward: [(0, '1127.250')] +[2026-06-06 18:17:25,517][187720] Saving new best policy, reward=1127.250! +[2026-06-06 18:17:26,700][187799] Updated weights for policy 0, policy_version 9591 (0.0017) +[2026-06-06 18:17:30,510][186392] Fps is (10 sec: 6553.9, 60 sec: 6553.6, 300 sec: 6331.4). Total num frames: 4915200. Throughput: 0: 6667.4. Samples: 4924416. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:17:30,512][186392] Avg episode reward: [(0, '1175.150')] +[2026-06-06 18:17:30,517][187720] Saving new best policy, reward=1175.150! +[2026-06-06 18:17:30,829][187720] Signal inference workers to stop experience collection... (450 times) +[2026-06-06 18:17:30,859][187799] InferenceWorker_p0-w0: stopping experience collection (450 times) +[2026-06-06 18:17:31,005][187720] Signal inference workers to resume experience collection... (450 times) +[2026-06-06 18:17:31,006][187799] InferenceWorker_p0-w0: resuming experience collection (450 times) +[2026-06-06 18:17:35,511][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6331.4). Total num frames: 4947968. Throughput: 0: 6803.9. Samples: 4968960. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:17:35,512][186392] Avg episode reward: [(0, '1157.950')] +[2026-06-06 18:17:35,593][187799] Updated weights for policy 0, policy_version 9680 (0.0017) +[2026-06-06 18:17:40,511][186392] Fps is (10 sec: 9010.9, 60 sec: 6963.2, 300 sec: 6414.8). Total num frames: 5005312. Throughput: 0: 6895.0. Samples: 5011968. Policy #0 lag: (min: 13.0, avg: 16.7, max: 77.0) +[2026-06-06 18:17:40,513][186392] Avg episode reward: [(0, '1130.250')] +[2026-06-06 18:17:40,523][187799] Updated weights for policy 0, policy_version 9784 (0.0020) +[2026-06-06 18:17:45,510][186392] Fps is (10 sec: 9830.6, 60 sec: 7099.7, 300 sec: 6470.3). Total num frames: 5046272. Throughput: 0: 6917.7. Samples: 5032448. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0) +[2026-06-06 18:17:45,511][186392] Avg episode reward: [(0, '1178.700')] +[2026-06-06 18:17:45,517][187720] Saving new best policy, reward=1178.700! +[2026-06-06 18:17:49,684][187799] Updated weights for policy 0, policy_version 9904 (0.0021) +[2026-06-06 18:17:50,510][186392] Fps is (10 sec: 7373.0, 60 sec: 7099.8, 300 sec: 6525.8). Total num frames: 5079040. Throughput: 0: 6963.2. Samples: 5075456. Policy #0 lag: (min: 15.0, avg: 17.6, max: 79.0) +[2026-06-06 18:17:50,512][186392] Avg episode reward: [(0, '1100.250')] +[2026-06-06 18:17:55,511][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.8, 300 sec: 6553.6). Total num frames: 5111808. Throughput: 0: 6917.7. Samples: 5115904. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:17:55,513][186392] Avg episode reward: [(0, '1106.200')] +[2026-06-06 18:17:58,775][187799] Updated weights for policy 0, policy_version 10000 (0.0017) +[2026-06-06 18:18:00,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6553.6). Total num frames: 5144576. Throughput: 0: 6951.8. Samples: 5138432. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:18:00,512][186392] Avg episode reward: [(0, '1106.200')] +[2026-06-06 18:18:03,917][187799] Updated weights for policy 0, policy_version 10099 (0.0018) +[2026-06-06 18:18:05,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 6553.6). Total num frames: 5177344. Throughput: 0: 6986.0. Samples: 5179392. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:18:05,512][186392] Avg episode reward: [(0, '1189.800')] +[2026-06-06 18:18:05,518][187720] Saving new best policy, reward=1189.800! +[2026-06-06 18:18:08,886][187799] Updated weights for policy 0, policy_version 10176 (0.0017) +[2026-06-06 18:18:10,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 6553.6). Total num frames: 5210112. Throughput: 0: 6963.2. Samples: 5219328. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:18:10,513][186392] Avg episode reward: [(0, '1233.500')] +[2026-06-06 18:18:10,519][187720] Saving new best policy, reward=1233.500! +[2026-06-06 18:18:15,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 6553.6). Total num frames: 5242880. Throughput: 0: 7020.0. Samples: 5240320. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-06 18:18:15,513][186392] Avg episode reward: [(0, '1269.550')] +[2026-06-06 18:18:15,519][187720] Saving new best policy, reward=1269.550! +[2026-06-06 18:18:18,310][187799] Updated weights for policy 0, policy_version 10288 (0.0018) +[2026-06-06 18:18:20,511][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6553.6). Total num frames: 5275648. Throughput: 0: 6894.9. Samples: 5279232. Policy #0 lag: (min: 15.0, avg: 18.7, max: 79.0) +[2026-06-06 18:18:20,512][186392] Avg episode reward: [(0, '1325.950')] +[2026-06-06 18:18:20,517][187720] Saving new best policy, reward=1325.950! +[2026-06-06 18:18:23,410][187799] Updated weights for policy 0, policy_version 10365 (0.0018) +[2026-06-06 18:18:25,511][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6553.6). Total num frames: 5308416. Throughput: 0: 6883.6. Samples: 5321728. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:18:25,513][186392] Avg episode reward: [(0, '1385.000')] +[2026-06-06 18:18:25,518][187720] Saving new best policy, reward=1385.000! +[2026-06-06 18:18:30,511][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 6553.6). Total num frames: 5341184. Throughput: 0: 6872.2. Samples: 5341696. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:18:30,512][186392] Avg episode reward: [(0, '1485.950')] +[2026-06-06 18:18:30,518][187720] Saving new best policy, reward=1485.950! +[2026-06-06 18:18:32,630][187799] Updated weights for policy 0, policy_version 10464 (0.0015) +[2026-06-06 18:18:35,511][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 6553.6). Total num frames: 5373952. Throughput: 0: 6815.2. Samples: 5382144. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:18:35,512][186392] Avg episode reward: [(0, '1502.700')] +[2026-06-06 18:18:35,520][187720] Saving new best policy, reward=1502.700! +[2026-06-06 18:18:37,572][187799] Updated weights for policy 0, policy_version 10560 (0.0013) +[2026-06-06 18:18:40,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6690.1, 300 sec: 6553.6). Total num frames: 5406720. Throughput: 0: 6906.3. Samples: 5426688. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:18:40,513][186392] Avg episode reward: [(0, '1466.050')] +[2026-06-06 18:18:45,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6553.6). Total num frames: 5439488. Throughput: 0: 6849.4. Samples: 5446656. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:18:45,512][186392] Avg episode reward: [(0, '1478.950')] +[2026-06-06 18:18:46,379][187799] Updated weights for policy 0, policy_version 10640 (0.0016) +[2026-06-06 18:18:46,567][187720] Signal inference workers to stop experience collection... (500 times) +[2026-06-06 18:18:46,600][187799] InferenceWorker_p0-w0: stopping experience collection (500 times) +[2026-06-06 18:18:46,724][187720] Signal inference workers to resume experience collection... (500 times) +[2026-06-06 18:18:46,725][187799] InferenceWorker_p0-w0: resuming experience collection (500 times) +[2026-06-06 18:18:50,510][186392] Fps is (10 sec: 6553.8, 60 sec: 6553.6, 300 sec: 6553.6). Total num frames: 5472256. Throughput: 0: 6826.7. Samples: 5486592. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:18:50,511][186392] Avg episode reward: [(0, '1456.550')] +[2026-06-06 18:18:51,802][187799] Updated weights for policy 0, policy_version 10747 (0.0018) +[2026-06-06 18:18:55,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6553.6). Total num frames: 5505024. Throughput: 0: 6872.2. Samples: 5528576. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:18:55,512][186392] Avg episode reward: [(0, '1544.650')] +[2026-06-06 18:18:55,517][187720] Saving new best policy, reward=1544.650! +[2026-06-06 18:19:00,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6553.6, 300 sec: 6553.6). Total num frames: 5537792. Throughput: 0: 6838.1. Samples: 5548032. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:19:00,515][186392] Avg episode reward: [(0, '1613.200')] +[2026-06-06 18:19:00,521][187720] Saving new best policy, reward=1613.200! +[2026-06-06 18:19:01,028][187799] Updated weights for policy 0, policy_version 10832 (0.0019) +[2026-06-06 18:19:05,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6581.4). Total num frames: 5570560. Throughput: 0: 6895.0. Samples: 5589504. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-06 18:19:05,512][186392] Avg episode reward: [(0, '1795.000')] +[2026-06-06 18:19:05,517][187720] Saving new best policy, reward=1795.000! +[2026-06-06 18:19:06,333][187799] Updated weights for policy 0, policy_version 10939 (0.0019) +[2026-06-06 18:19:10,511][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6609.1). Total num frames: 5603328. Throughput: 0: 6849.5. Samples: 5629952. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-06 18:19:10,512][186392] Avg episode reward: [(0, '1840.850')] +[2026-06-06 18:19:10,518][187720] Saving new best policy, reward=1840.850! +[2026-06-06 18:19:15,511][186392] Fps is (10 sec: 6553.4, 60 sec: 6553.6, 300 sec: 6664.7). Total num frames: 5636096. Throughput: 0: 6826.6. Samples: 5648896. Policy #0 lag: (min: 12.0, avg: 14.7, max: 76.0) +[2026-06-06 18:19:15,512][186392] Avg episode reward: [(0, '1864.700')] +[2026-06-06 18:19:15,721][187720] Saving new best policy, reward=1864.700! +[2026-06-06 18:19:15,723][187799] Updated weights for policy 0, policy_version 11040 (0.0018) +[2026-06-06 18:19:20,510][186392] Fps is (10 sec: 7372.8, 60 sec: 6690.2, 300 sec: 6692.5). Total num frames: 5677056. Throughput: 0: 6838.1. Samples: 5689856. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-06 18:19:20,512][186392] Avg episode reward: [(0, '1869.850')] +[2026-06-06 18:19:20,711][187720] Saving new best policy, reward=1869.850! +[2026-06-06 18:19:20,915][187799] Updated weights for policy 0, policy_version 11131 (0.0018) +[2026-06-06 18:19:25,510][186392] Fps is (10 sec: 9011.5, 60 sec: 6963.2, 300 sec: 6748.0). Total num frames: 5726208. Throughput: 0: 6838.1. Samples: 5734400. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-06 18:19:25,511][186392] Avg episode reward: [(0, '1895.200')] +[2026-06-06 18:19:25,573][187720] Saving new best policy, reward=1895.200! +[2026-06-06 18:19:29,775][187799] Updated weights for policy 0, policy_version 11216 (0.0019) +[2026-06-06 18:19:30,510][186392] Fps is (10 sec: 9011.3, 60 sec: 7099.8, 300 sec: 6775.8). Total num frames: 5767168. Throughput: 0: 6815.3. Samples: 5753344. Policy #0 lag: (min: 13.0, avg: 16.4, max: 77.0) +[2026-06-06 18:19:30,512][186392] Avg episode reward: [(0, '1768.950')] +[2026-06-06 18:19:34,989][187799] Updated weights for policy 0, policy_version 11315 (0.0016) +[2026-06-06 18:19:35,511][186392] Fps is (10 sec: 7372.7, 60 sec: 7099.8, 300 sec: 6775.8). Total num frames: 5799936. Throughput: 0: 6838.0. Samples: 5794304. Policy #0 lag: (min: 13.0, avg: 16.4, max: 77.0) +[2026-06-06 18:19:35,515][186392] Avg episode reward: [(0, '1898.000')] +[2026-06-06 18:19:35,521][187720] Saving new best policy, reward=1898.000! +[2026-06-06 18:19:40,111][187799] Updated weights for policy 0, policy_version 11392 (0.0016) +[2026-06-06 18:19:40,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.8, 300 sec: 6775.8). Total num frames: 5832704. Throughput: 0: 6792.6. Samples: 5834240. Policy #0 lag: (min: 3.0, avg: 5.9, max: 67.0) +[2026-06-06 18:19:40,511][186392] Avg episode reward: [(0, '1969.500')] +[2026-06-06 18:19:40,515][187720] Saving new best policy, reward=1969.500! +[2026-06-06 18:19:45,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.8, 300 sec: 6775.8). Total num frames: 5865472. Throughput: 0: 6792.6. Samples: 5853696. Policy #0 lag: (min: 3.0, avg: 5.9, max: 67.0) +[2026-06-06 18:19:45,511][186392] Avg episode reward: [(0, '2056.350')] +[2026-06-06 18:19:45,517][187720] Saving new best policy, reward=2056.350! +[2026-06-06 18:19:49,820][187799] Updated weights for policy 0, policy_version 11488 (0.0019) +[2026-06-06 18:19:50,511][186392] Fps is (10 sec: 6553.2, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 5898240. Throughput: 0: 6781.1. Samples: 5894656. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:19:50,513][186392] Avg episode reward: [(0, '2099.450')] +[2026-06-06 18:19:50,520][187720] Saving new best policy, reward=2099.450! +[2026-06-06 18:19:54,700][187799] Updated weights for policy 0, policy_version 11568 (0.0014) +[2026-06-06 18:19:55,511][186392] Fps is (10 sec: 6553.4, 60 sec: 7099.7, 300 sec: 6775.7). Total num frames: 5931008. Throughput: 0: 6747.0. Samples: 5933568. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:19:55,512][186392] Avg episode reward: [(0, '2015.700')] +[2026-06-06 18:19:59,344][187799] Updated weights for policy 0, policy_version 11645 (0.0013) +[2026-06-06 18:20:00,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 5963776. Throughput: 0: 6826.7. Samples: 5956096. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-06 18:20:00,512][186392] Avg episode reward: [(0, '1958.000')] +[2026-06-06 18:20:05,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.8, 300 sec: 6775.8). Total num frames: 5996544. Throughput: 0: 6849.4. Samples: 5998080. Policy #0 lag: (min: 15.0, avg: 19.5, max: 79.0) +[2026-06-06 18:20:05,511][186392] Avg episode reward: [(0, '2035.050')] +[2026-06-06 18:20:08,203][187720] Signal inference workers to stop experience collection... (550 times) +[2026-06-06 18:20:08,238][187799] InferenceWorker_p0-w0: stopping experience collection (550 times) +[2026-06-06 18:20:08,349][187720] Signal inference workers to resume experience collection... (550 times) +[2026-06-06 18:20:08,350][187799] InferenceWorker_p0-w0: resuming experience collection (550 times) +[2026-06-06 18:20:08,352][187799] Updated weights for policy 0, policy_version 11744 (0.0020) +[2026-06-06 18:20:10,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 6029312. Throughput: 0: 6792.5. Samples: 6040064. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:20:10,512][186392] Avg episode reward: [(0, '2052.850')] +[2026-06-06 18:20:13,585][187799] Updated weights for policy 0, policy_version 11839 (0.0019) +[2026-06-06 18:20:15,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.8, 300 sec: 6775.8). Total num frames: 6062080. Throughput: 0: 6849.4. Samples: 6061568. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:20:15,511][186392] Avg episode reward: [(0, '2095.150')] +[2026-06-06 18:20:20,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6963.2, 300 sec: 6775.8). Total num frames: 6094848. Throughput: 0: 6815.3. Samples: 6100992. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:20:20,512][186392] Avg episode reward: [(0, '2126.100')] +[2026-06-06 18:20:20,517][187720] Saving new best policy, reward=2126.100! +[2026-06-06 18:20:22,582][187799] Updated weights for policy 0, policy_version 11936 (0.0015) +[2026-06-06 18:20:25,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6690.1, 300 sec: 6775.8). Total num frames: 6127616. Throughput: 0: 6872.2. Samples: 6143488. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:20:25,511][186392] Avg episode reward: [(0, '2282.000')] +[2026-06-06 18:20:25,515][187720] Saving new best policy, reward=2282.000! +[2026-06-06 18:20:27,730][187799] Updated weights for policy 0, policy_version 12028 (0.0015) +[2026-06-06 18:20:30,511][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 6160384. Throughput: 0: 6883.5. Samples: 6163456. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:20:30,512][186392] Avg episode reward: [(0, '2271.800')] +[2026-06-06 18:20:35,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 6193152. Throughput: 0: 6883.6. Samples: 6204416. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:20:35,512][186392] Avg episode reward: [(0, '2149.600')] +[2026-06-06 18:20:36,973][187799] Updated weights for policy 0, policy_version 12112 (0.0015) +[2026-06-06 18:20:40,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 6225920. Throughput: 0: 6906.3. Samples: 6244352. Policy #0 lag: (min: 11.0, avg: 14.2, max: 75.0) +[2026-06-06 18:20:40,512][186392] Avg episode reward: [(0, '2242.050')] +[2026-06-06 18:20:42,529][187799] Updated weights for policy 0, policy_version 12220 (0.0018) +[2026-06-06 18:20:45,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 6258688. Throughput: 0: 6803.9. Samples: 6262272. Policy #0 lag: (min: 11.0, avg: 14.2, max: 75.0) +[2026-06-06 18:20:45,511][186392] Avg episode reward: [(0, '2275.750')] +[2026-06-06 18:20:50,511][186392] Fps is (10 sec: 6553.4, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 6291456. Throughput: 0: 6758.3. Samples: 6302208. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:20:50,513][186392] Avg episode reward: [(0, '2366.750')] +[2026-06-06 18:20:50,518][187720] Saving new best policy, reward=2366.750! +[2026-06-06 18:20:52,254][187799] Updated weights for policy 0, policy_version 12320 (0.0016) +[2026-06-06 18:20:55,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 6324224. Throughput: 0: 6678.8. Samples: 6340608. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:20:55,512][186392] Avg episode reward: [(0, '2365.200')] +[2026-06-06 18:20:58,182][187799] Updated weights for policy 0, policy_version 12416 (0.0018) +[2026-06-06 18:21:00,511][186392] Fps is (10 sec: 6553.4, 60 sec: 6553.5, 300 sec: 6775.7). Total num frames: 6356992. Throughput: 0: 6587.6. Samples: 6358016. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:21:00,513][186392] Avg episode reward: [(0, '2597.350')] +[2026-06-06 18:21:00,519][187720] Saving new best policy, reward=2597.350! +[2026-06-06 18:21:05,511][186392] Fps is (10 sec: 6553.4, 60 sec: 6553.6, 300 sec: 6775.7). Total num frames: 6389760. Throughput: 0: 6542.2. Samples: 6395392. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:21:05,512][186392] Avg episode reward: [(0, '2660.650')] +[2026-06-06 18:21:05,519][187720] Saving new best policy, reward=2660.650! +[2026-06-06 18:21:08,133][187799] Updated weights for policy 0, policy_version 12531 (0.0019) +[2026-06-06 18:21:10,511][186392] Fps is (10 sec: 6553.8, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 6422528. Throughput: 0: 6473.9. Samples: 6434816. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0) +[2026-06-06 18:21:10,512][186392] Avg episode reward: [(0, '2698.200')] +[2026-06-06 18:21:10,520][187720] Saving new best policy, reward=2698.200! +[2026-06-06 18:21:13,531][187799] Updated weights for policy 0, policy_version 12608 (0.0014) +[2026-06-06 18:21:15,511][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 6455296. Throughput: 0: 6496.7. Samples: 6455808. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0) +[2026-06-06 18:21:15,512][186392] Avg episode reward: [(0, '2661.750')] +[2026-06-06 18:21:20,511][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 6488064. Throughput: 0: 6417.0. Samples: 6493184. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-06 18:21:20,517][186392] Avg episode reward: [(0, '2524.250')] +[2026-06-06 18:21:23,035][187799] Updated weights for policy 0, policy_version 12720 (0.0018) +[2026-06-06 18:21:25,510][186392] Fps is (10 sec: 6553.8, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 6520832. Throughput: 0: 6439.8. Samples: 6534144. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-06 18:21:25,511][186392] Avg episode reward: [(0, '2520.100')] +[2026-06-06 18:21:28,363][187799] Updated weights for policy 0, policy_version 12800 (0.0015) +[2026-06-06 18:21:30,511][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 6553600. Throughput: 0: 6485.3. Samples: 6554112. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:21:30,512][186392] Avg episode reward: [(0, '2518.050')] +[2026-06-06 18:21:32,395][187720] Signal inference workers to stop experience collection... (600 times) +[2026-06-06 18:21:32,425][187799] InferenceWorker_p0-w0: stopping experience collection (600 times) +[2026-06-06 18:21:32,575][187720] Signal inference workers to resume experience collection... (600 times) +[2026-06-06 18:21:32,576][187799] InferenceWorker_p0-w0: resuming experience collection (600 times) +[2026-06-06 18:21:35,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 6586368. Throughput: 0: 6485.4. Samples: 6594048. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:21:35,511][186392] Avg episode reward: [(0, '2541.550')] +[2026-06-06 18:21:37,807][187799] Updated weights for policy 0, policy_version 12896 (0.0020) +[2026-06-06 18:21:40,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 6619136. Throughput: 0: 6485.3. Samples: 6632448. Policy #0 lag: (min: 5.0, avg: 8.6, max: 69.0) +[2026-06-06 18:21:40,511][186392] Avg episode reward: [(0, '2575.350')] +[2026-06-06 18:21:43,035][187799] Updated weights for policy 0, policy_version 12986 (0.0017) +[2026-06-06 18:21:45,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 6651904. Throughput: 0: 6553.7. Samples: 6652928. Policy #0 lag: (min: 5.0, avg: 8.6, max: 69.0) +[2026-06-06 18:21:45,511][186392] Avg episode reward: [(0, '2781.650')] +[2026-06-06 18:21:45,514][187720] Saving new best policy, reward=2781.650! +[2026-06-06 18:21:50,511][186392] Fps is (10 sec: 6553.3, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 6684672. Throughput: 0: 6576.3. Samples: 6691328. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:21:50,513][186392] Avg episode reward: [(0, '2696.050')] +[2026-06-06 18:21:52,607][187799] Updated weights for policy 0, policy_version 13088 (0.0018) +[2026-06-06 18:21:55,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 6717440. Throughput: 0: 6610.5. Samples: 6732288. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:21:55,511][186392] Avg episode reward: [(0, '2755.250')] +[2026-06-06 18:21:57,948][187799] Updated weights for policy 0, policy_version 13175 (0.0016) +[2026-06-06 18:22:00,511][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6775.7). Total num frames: 6750208. Throughput: 0: 6576.3. Samples: 6751744. Policy #0 lag: (min: 9.0, avg: 11.8, max: 73.0) +[2026-06-06 18:22:00,514][186392] Avg episode reward: [(0, '2704.750')] +[2026-06-06 18:22:05,511][186392] Fps is (10 sec: 6553.4, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 6782976. Throughput: 0: 6644.6. Samples: 6792192. Policy #0 lag: (min: 9.0, avg: 11.8, max: 73.0) +[2026-06-06 18:22:05,513][186392] Avg episode reward: [(0, '2588.850')] +[2026-06-06 18:22:07,364][187799] Updated weights for policy 0, policy_version 13280 (0.0015) +[2026-06-06 18:22:10,511][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 6815744. Throughput: 0: 6610.4. Samples: 6831616. Policy #0 lag: (min: 11.0, avg: 13.9, max: 75.0) +[2026-06-06 18:22:10,512][186392] Avg episode reward: [(0, '2586.600')] +[2026-06-06 18:22:12,548][187799] Updated weights for policy 0, policy_version 13363 (0.0014) +[2026-06-06 18:22:15,510][186392] Fps is (10 sec: 6553.9, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 6848512. Throughput: 0: 6621.9. Samples: 6852096. Policy #0 lag: (min: 11.0, avg: 13.9, max: 75.0) +[2026-06-06 18:22:15,512][186392] Avg episode reward: [(0, '2743.950')] +[2026-06-06 18:22:20,511][186392] Fps is (10 sec: 6553.4, 60 sec: 6553.6, 300 sec: 6775.7). Total num frames: 6881280. Throughput: 0: 6587.6. Samples: 6890496. Policy #0 lag: (min: 8.0, avg: 11.7, max: 72.0) +[2026-06-06 18:22:20,513][186392] Avg episode reward: [(0, '2788.500')] +[2026-06-06 18:22:20,519][187720] Saving new best policy, reward=2788.500! +[2026-06-06 18:22:22,178][187799] Updated weights for policy 0, policy_version 13456 (0.0020) +[2026-06-06 18:22:25,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 6914048. Throughput: 0: 6656.0. Samples: 6931968. Policy #0 lag: (min: 8.0, avg: 11.7, max: 72.0) +[2026-06-06 18:22:25,512][186392] Avg episode reward: [(0, '2783.350')] +[2026-06-06 18:22:27,252][187799] Updated weights for policy 0, policy_version 13552 (0.0017) +[2026-06-06 18:22:30,511][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6775.7). Total num frames: 6946816. Throughput: 0: 6644.5. Samples: 6951936. Policy #0 lag: (min: 47.0, avg: 49.9, max: 111.0) +[2026-06-06 18:22:30,513][186392] Avg episode reward: [(0, '2898.450')] +[2026-06-06 18:22:30,518][187720] Saving new best policy, reward=2898.450! +[2026-06-06 18:22:32,293][187799] Updated weights for policy 0, policy_version 13617 (0.0016) +[2026-06-06 18:22:35,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6692.5). Total num frames: 6979584. Throughput: 0: 6713.0. Samples: 6993408. Policy #0 lag: (min: 47.0, avg: 49.9, max: 111.0) +[2026-06-06 18:22:35,512][186392] Avg episode reward: [(0, '2922.700')] +[2026-06-06 18:22:35,517][187720] Saving new best policy, reward=2922.700! +[2026-06-06 18:22:37,021][187799] Updated weights for policy 0, policy_version 13696 (0.0016) +[2026-06-06 18:22:40,511][186392] Fps is (10 sec: 6553.8, 60 sec: 6553.6, 300 sec: 6664.7). Total num frames: 7012352. Throughput: 0: 6712.8. Samples: 7034368. Policy #0 lag: (min: 47.0, avg: 49.9, max: 111.0) +[2026-06-06 18:22:40,513][186392] Avg episode reward: [(0, '2910.500')] +[2026-06-06 18:22:45,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6553.6, 300 sec: 6664.7). Total num frames: 7045120. Throughput: 0: 6667.4. Samples: 7051776. Policy #0 lag: (min: 13.0, avg: 15.8, max: 77.0) +[2026-06-06 18:22:45,512][186392] Avg episode reward: [(0, '2945.900')] +[2026-06-06 18:22:45,518][187720] Saving new best policy, reward=2945.900! +[2026-06-06 18:22:47,021][187799] Updated weights for policy 0, policy_version 13814 (0.0013) +[2026-06-06 18:22:50,511][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6664.7). Total num frames: 7077888. Throughput: 0: 6667.4. Samples: 7092224. Policy #0 lag: (min: 13.0, avg: 15.8, max: 77.0) +[2026-06-06 18:22:50,512][186392] Avg episode reward: [(0, '2938.600')] +[2026-06-06 18:22:51,584][187720] Signal inference workers to stop experience collection... (650 times) +[2026-06-06 18:22:51,611][187799] InferenceWorker_p0-w0: stopping experience collection (650 times) +[2026-06-06 18:22:51,742][187720] Signal inference workers to resume experience collection... (650 times) +[2026-06-06 18:22:51,743][187799] InferenceWorker_p0-w0: resuming experience collection (650 times) +[2026-06-06 18:22:55,511][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6664.7). Total num frames: 7110656. Throughput: 0: 6712.9. Samples: 7133696. Policy #0 lag: (min: 42.0, avg: 44.7, max: 106.0) +[2026-06-06 18:22:55,512][186392] Avg episode reward: [(0, '2996.850')] +[2026-06-06 18:22:55,516][187720] Saving new best policy, reward=2996.850! +[2026-06-06 18:22:56,188][187799] Updated weights for policy 0, policy_version 13904 (0.0015) +[2026-06-06 18:23:00,511][186392] Fps is (10 sec: 6553.4, 60 sec: 6553.6, 300 sec: 6664.7). Total num frames: 7143424. Throughput: 0: 6701.4. Samples: 7153664. Policy #0 lag: (min: 42.0, avg: 44.7, max: 106.0) +[2026-06-06 18:23:00,513][186392] Avg episode reward: [(0, '3007.150')] +[2026-06-06 18:23:00,519][187720] Saving new best policy, reward=3007.150! +[2026-06-06 18:23:01,138][187799] Updated weights for policy 0, policy_version 14004 (0.0016) +[2026-06-06 18:23:05,510][186392] Fps is (10 sec: 8192.1, 60 sec: 6826.7, 300 sec: 6720.2). Total num frames: 7192576. Throughput: 0: 6838.1. Samples: 7198208. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:23:05,512][186392] Avg episode reward: [(0, '2929.850')] +[2026-06-06 18:23:05,847][187799] Updated weights for policy 0, policy_version 14079 (0.0014) +[2026-06-06 18:23:10,511][186392] Fps is (10 sec: 9830.7, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 7241728. Throughput: 0: 6894.9. Samples: 7242240. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:23:10,512][186392] Avg episode reward: [(0, '2980.400')] +[2026-06-06 18:23:14,670][187799] Updated weights for policy 0, policy_version 14176 (0.0015) +[2026-06-06 18:23:15,511][186392] Fps is (10 sec: 8191.9, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 7274496. Throughput: 0: 6906.4. Samples: 7262720. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:23:15,514][186392] Avg episode reward: [(0, '3056.600')] +[2026-06-06 18:23:15,518][187720] Saving new best policy, reward=3056.600! +[2026-06-06 18:23:19,907][187799] Updated weights for policy 0, policy_version 14272 (0.0016) +[2026-06-06 18:23:20,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.8, 300 sec: 6775.8). Total num frames: 7307264. Throughput: 0: 6929.0. Samples: 7305216. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:23:20,512][186392] Avg episode reward: [(0, '2916.800')] +[2026-06-06 18:23:25,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 7340032. Throughput: 0: 6917.7. Samples: 7345664. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:23:25,512][186392] Avg episode reward: [(0, '2909.100')] +[2026-06-06 18:23:28,561][187799] Updated weights for policy 0, policy_version 14353 (0.0021) +[2026-06-06 18:23:30,512][186392] Fps is (10 sec: 6553.2, 60 sec: 7099.7, 300 sec: 6775.7). Total num frames: 7372800. Throughput: 0: 7031.3. Samples: 7368192. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:23:30,514][186392] Avg episode reward: [(0, '2952.900')] +[2026-06-06 18:23:33,411][187799] Updated weights for policy 0, policy_version 14460 (0.0017) +[2026-06-06 18:23:35,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 7405568. Throughput: 0: 7065.6. Samples: 7410176. Policy #0 lag: (min: 8.0, avg: 11.4, max: 72.0) +[2026-06-06 18:23:35,512][186392] Avg episode reward: [(0, '2929.450')] +[2026-06-06 18:23:40,511][186392] Fps is (10 sec: 6554.1, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 7438336. Throughput: 0: 7133.9. Samples: 7454720. Policy #0 lag: (min: 8.0, avg: 11.4, max: 72.0) +[2026-06-06 18:23:40,512][186392] Avg episode reward: [(0, '2916.000')] +[2026-06-06 18:23:40,524][187720] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride7_seed12/checkpoint_p0/checkpoint_000014528_7438336.pth... +[2026-06-06 18:23:42,104][187799] Updated weights for policy 0, policy_version 14560 (0.0014) +[2026-06-06 18:23:45,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 7471104. Throughput: 0: 7156.7. Samples: 7475712. Policy #0 lag: (min: 8.0, avg: 11.4, max: 72.0) +[2026-06-06 18:23:45,512][186392] Avg episode reward: [(0, '2912.400')] +[2026-06-06 18:23:46,866][187799] Updated weights for policy 0, policy_version 14644 (0.0015) +[2026-06-06 18:23:50,511][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 7503872. Throughput: 0: 7145.2. Samples: 7519744. Policy #0 lag: (min: 11.0, avg: 14.3, max: 75.0) +[2026-06-06 18:23:50,513][186392] Avg episode reward: [(0, '3013.500')] +[2026-06-06 18:23:51,728][187799] Updated weights for policy 0, policy_version 14719 (0.0015) +[2026-06-06 18:23:55,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 7536640. Throughput: 0: 7133.9. Samples: 7563264. Policy #0 lag: (min: 11.0, avg: 14.3, max: 75.0) +[2026-06-06 18:23:55,512][186392] Avg episode reward: [(0, '3143.600')] +[2026-06-06 18:23:55,517][187720] Saving new best policy, reward=3143.600! +[2026-06-06 18:24:00,511][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.8, 300 sec: 6775.8). Total num frames: 7569408. Throughput: 0: 7088.4. Samples: 7581696. Policy #0 lag: (min: 11.0, avg: 14.3, max: 75.0) +[2026-06-06 18:24:00,512][186392] Avg episode reward: [(0, '3175.300')] +[2026-06-06 18:24:00,676][187720] Saving new best policy, reward=3175.300! +[2026-06-06 18:24:00,680][187799] Updated weights for policy 0, policy_version 14816 (0.0018) +[2026-06-06 18:24:05,510][186392] Fps is (10 sec: 9011.3, 60 sec: 7236.3, 300 sec: 6859.1). Total num frames: 7626752. Throughput: 0: 7122.5. Samples: 7625728. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:24:05,512][186392] Avg episode reward: [(0, '3171.550')] +[2026-06-06 18:24:05,581][187799] Updated weights for policy 0, policy_version 14900 (0.0018) +[2026-06-06 18:24:09,928][187720] Signal inference workers to stop experience collection... (700 times) +[2026-06-06 18:24:09,964][187799] InferenceWorker_p0-w0: stopping experience collection (700 times) +[2026-06-06 18:24:10,066][187720] Signal inference workers to resume experience collection... (700 times) +[2026-06-06 18:24:10,067][187799] InferenceWorker_p0-w0: resuming experience collection (700 times) +[2026-06-06 18:24:10,510][186392] Fps is (10 sec: 9011.3, 60 sec: 6963.2, 300 sec: 6859.1). Total num frames: 7659520. Throughput: 0: 7156.6. Samples: 7667712. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:24:10,511][186392] Avg episode reward: [(0, '3169.300')] +[2026-06-06 18:24:10,563][187799] Updated weights for policy 0, policy_version 14976 (0.0020) +[2026-06-06 18:24:15,510][186392] Fps is (10 sec: 7372.8, 60 sec: 7099.7, 300 sec: 6859.1). Total num frames: 7700480. Throughput: 0: 7088.5. Samples: 7687168. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 18:24:15,512][186392] Avg episode reward: [(0, '3285.750')] +[2026-06-06 18:24:15,517][187720] Saving new best policy, reward=3285.750! +[2026-06-06 18:24:19,645][187799] Updated weights for policy 0, policy_version 15056 (0.0015) +[2026-06-06 18:24:20,511][186392] Fps is (10 sec: 7372.3, 60 sec: 7099.7, 300 sec: 6803.5). Total num frames: 7733248. Throughput: 0: 7065.5. Samples: 7728128. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 18:24:20,514][186392] Avg episode reward: [(0, '3266.200')] +[2026-06-06 18:24:24,833][187799] Updated weights for policy 0, policy_version 15154 (0.0013) +[2026-06-06 18:24:25,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 7766016. Throughput: 0: 6951.8. Samples: 7767552. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 18:24:25,512][186392] Avg episode reward: [(0, '3289.150')] +[2026-06-06 18:24:25,517][187720] Saving new best policy, reward=3289.150! +[2026-06-06 18:24:30,511][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.8, 300 sec: 6775.8). Total num frames: 7798784. Throughput: 0: 6974.5. Samples: 7789568. Policy #0 lag: (min: 10.0, avg: 12.8, max: 74.0) +[2026-06-06 18:24:30,514][186392] Avg episode reward: [(0, '3260.750')] +[2026-06-06 18:24:33,892][187799] Updated weights for policy 0, policy_version 15264 (0.0014) +[2026-06-06 18:24:35,511][186392] Fps is (10 sec: 6553.3, 60 sec: 7099.7, 300 sec: 6775.7). Total num frames: 7831552. Throughput: 0: 6940.4. Samples: 7832064. Policy #0 lag: (min: 10.0, avg: 12.8, max: 74.0) +[2026-06-06 18:24:35,514][186392] Avg episode reward: [(0, '3357.050')] +[2026-06-06 18:24:35,521][187720] Saving new best policy, reward=3357.050! +[2026-06-06 18:24:39,169][187799] Updated weights for policy 0, policy_version 15360 (0.0023) +[2026-06-06 18:24:40,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 6775.7). Total num frames: 7864320. Throughput: 0: 6849.4. Samples: 7871488. Policy #0 lag: (min: 10.0, avg: 12.8, max: 74.0) +[2026-06-06 18:24:40,513][186392] Avg episode reward: [(0, '3337.200')] +[2026-06-06 18:24:45,511][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 7897088. Throughput: 0: 6917.7. Samples: 7892992. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:24:45,512][186392] Avg episode reward: [(0, '3582.900')] +[2026-06-06 18:24:45,517][187720] Saving new best policy, reward=3582.900! +[2026-06-06 18:24:48,330][187799] Updated weights for policy 0, policy_version 15456 (0.0017) +[2026-06-06 18:24:50,511][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 7929856. Throughput: 0: 6838.0. Samples: 7933440. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:24:50,512][186392] Avg episode reward: [(0, '3637.300')] +[2026-06-06 18:24:50,522][187720] Saving new best policy, reward=3637.300! +[2026-06-06 18:24:53,304][187799] Updated weights for policy 0, policy_version 15540 (0.0016) +[2026-06-06 18:24:55,511][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 7962624. Throughput: 0: 6849.4. Samples: 7975936. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:24:55,513][186392] Avg episode reward: [(0, '3568.250')] +[2026-06-06 18:25:00,511][186392] Fps is (10 sec: 6553.4, 60 sec: 7099.7, 300 sec: 6775.7). Total num frames: 7995392. Throughput: 0: 6872.1. Samples: 7996416. Policy #0 lag: (min: 14.0, avg: 17.7, max: 78.0) +[2026-06-06 18:25:00,513][186392] Avg episode reward: [(0, '3640.550')] +[2026-06-06 18:25:00,523][187720] Saving new best policy, reward=3640.550! +[2026-06-06 18:25:02,607][187799] Updated weights for policy 0, policy_version 15648 (0.0021) +[2026-06-06 18:25:05,511][186392] Fps is (10 sec: 6553.6, 60 sec: 6690.1, 300 sec: 6775.8). Total num frames: 8028160. Throughput: 0: 6849.5. Samples: 8036352. Policy #0 lag: (min: 14.0, avg: 17.7, max: 78.0) +[2026-06-06 18:25:05,513][186392] Avg episode reward: [(0, '3669.450')] +[2026-06-06 18:25:05,518][187720] Saving new best policy, reward=3669.450! +[2026-06-06 18:25:07,582][187799] Updated weights for policy 0, policy_version 15737 (0.0016) +[2026-06-06 18:25:10,510][186392] Fps is (10 sec: 6553.9, 60 sec: 6690.1, 300 sec: 6775.8). Total num frames: 8060928. Throughput: 0: 6929.1. Samples: 8079360. Policy #0 lag: (min: 14.0, avg: 17.7, max: 78.0) +[2026-06-06 18:25:10,511][186392] Avg episode reward: [(0, '3655.350')] +[2026-06-06 18:25:15,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 8093696. Throughput: 0: 6872.2. Samples: 8098816. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0) +[2026-06-06 18:25:15,512][186392] Avg episode reward: [(0, '3910.900')] +[2026-06-06 18:25:15,516][187720] Saving new best policy, reward=3910.900! +[2026-06-06 18:25:16,938][187799] Updated weights for policy 0, policy_version 15840 (0.0019) +[2026-06-06 18:25:20,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6553.7, 300 sec: 6775.8). Total num frames: 8126464. Throughput: 0: 6826.7. Samples: 8139264. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0) +[2026-06-06 18:25:20,512][186392] Avg episode reward: [(0, '3788.850')] +[2026-06-06 18:25:22,071][187799] Updated weights for policy 0, policy_version 15922 (0.0023) +[2026-06-06 18:25:25,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 8159232. Throughput: 0: 6860.8. Samples: 8180224. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0) +[2026-06-06 18:25:25,511][186392] Avg episode reward: [(0, '3828.900')] +[2026-06-06 18:25:27,183][187799] Updated weights for policy 0, policy_version 16000 (0.0018) +[2026-06-06 18:25:30,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 8192000. Throughput: 0: 6815.3. Samples: 8199680. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:25:30,512][186392] Avg episode reward: [(0, '3899.000')] +[2026-06-06 18:25:31,044][187720] Signal inference workers to stop experience collection... (750 times) +[2026-06-06 18:25:31,073][187799] InferenceWorker_p0-w0: stopping experience collection (750 times) +[2026-06-06 18:25:31,230][187720] Signal inference workers to resume experience collection... (750 times) +[2026-06-06 18:25:31,231][187799] InferenceWorker_p0-w0: resuming experience collection (750 times) +[2026-06-06 18:25:35,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.7, 300 sec: 6775.8). Total num frames: 8224768. Throughput: 0: 6883.6. Samples: 8243200. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:25:35,511][186392] Avg episode reward: [(0, '3944.450')] +[2026-06-06 18:25:35,515][187720] Saving new best policy, reward=3944.450! +[2026-06-06 18:25:36,120][187799] Updated weights for policy 0, policy_version 16112 (0.0021) +[2026-06-06 18:25:40,510][186392] Fps is (10 sec: 7372.8, 60 sec: 6690.1, 300 sec: 6803.5). Total num frames: 8265728. Throughput: 0: 6895.0. Samples: 8286208. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:25:40,512][186392] Avg episode reward: [(0, '4014.450')] +[2026-06-06 18:25:40,815][187720] Saving new best policy, reward=4014.450! +[2026-06-06 18:25:41,032][187799] Updated weights for policy 0, policy_version 16184 (0.0014) +[2026-06-06 18:25:45,511][186392] Fps is (10 sec: 7372.4, 60 sec: 6690.1, 300 sec: 6803.5). Total num frames: 8298496. Throughput: 0: 6860.8. Samples: 8305152. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:25:45,513][186392] Avg episode reward: [(0, '3970.000')] +[2026-06-06 18:25:46,120][187799] Updated weights for policy 0, policy_version 16256 (0.0017) +[2026-06-06 18:25:50,510][186392] Fps is (10 sec: 7372.8, 60 sec: 6826.7, 300 sec: 6831.3). Total num frames: 8339456. Throughput: 0: 6906.3. Samples: 8347136. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:25:50,512][186392] Avg episode reward: [(0, '3728.200')] +[2026-06-06 18:25:55,225][187799] Updated weights for policy 0, policy_version 16352 (0.0022) +[2026-06-06 18:25:55,510][186392] Fps is (10 sec: 8192.2, 60 sec: 6963.2, 300 sec: 6859.1). Total num frames: 8380416. Throughput: 0: 6849.4. Samples: 8387584. Policy #0 lag: (min: 5.0, avg: 7.9, max: 69.0) +[2026-06-06 18:25:55,512][186392] Avg episode reward: [(0, '3860.400')] +[2026-06-06 18:26:00,338][187799] Updated weights for policy 0, policy_version 16448 (0.0021) +[2026-06-06 18:26:00,510][186392] Fps is (10 sec: 8192.0, 60 sec: 7099.8, 300 sec: 6886.8). Total num frames: 8421376. Throughput: 0: 6906.3. Samples: 8409600. Policy #0 lag: (min: 5.0, avg: 7.9, max: 69.0) +[2026-06-06 18:26:00,511][186392] Avg episode reward: [(0, '3780.200')] +[2026-06-06 18:26:05,510][186392] Fps is (10 sec: 7372.8, 60 sec: 7099.7, 300 sec: 6886.8). Total num frames: 8454144. Throughput: 0: 6894.9. Samples: 8449536. Policy #0 lag: (min: 5.0, avg: 7.9, max: 69.0) +[2026-06-06 18:26:05,512][186392] Avg episode reward: [(0, '3804.150')] +[2026-06-06 18:26:09,247][187799] Updated weights for policy 0, policy_version 16560 (0.0017) +[2026-06-06 18:26:10,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 6886.8). Total num frames: 8486912. Throughput: 0: 6917.7. Samples: 8491520. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:26:10,512][186392] Avg episode reward: [(0, '3831.350')] +[2026-06-06 18:26:14,138][187799] Updated weights for policy 0, policy_version 16638 (0.0015) +[2026-06-06 18:26:15,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 6886.8). Total num frames: 8519680. Throughput: 0: 6985.9. Samples: 8514048. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:26:15,512][186392] Avg episode reward: [(0, '3817.000')] +[2026-06-06 18:26:20,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.8, 300 sec: 6886.8). Total num frames: 8552448. Throughput: 0: 6940.4. Samples: 8555520. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:26:20,511][186392] Avg episode reward: [(0, '3936.300')] +[2026-06-06 18:26:22,893][187799] Updated weights for policy 0, policy_version 16720 (0.0017) +[2026-06-06 18:26:25,511][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6886.8). Total num frames: 8585216. Throughput: 0: 6906.3. Samples: 8596992. Policy #0 lag: (min: 1.0, avg: 4.9, max: 65.0) +[2026-06-06 18:26:25,513][186392] Avg episode reward: [(0, '4090.150')] +[2026-06-06 18:26:25,518][187720] Saving new best policy, reward=4090.150! +[2026-06-06 18:26:27,970][187799] Updated weights for policy 0, policy_version 16819 (0.0020) +[2026-06-06 18:26:30,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.8, 300 sec: 6886.8). Total num frames: 8617984. Throughput: 0: 6986.0. Samples: 8619520. Policy #0 lag: (min: 1.0, avg: 4.9, max: 65.0) +[2026-06-06 18:26:30,511][186392] Avg episode reward: [(0, '4280.450')] +[2026-06-06 18:26:30,516][187720] Saving new best policy, reward=4280.450! +[2026-06-06 18:26:35,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.7, 300 sec: 6886.8). Total num frames: 8650752. Throughput: 0: 6974.6. Samples: 8660992. Policy #0 lag: (min: 1.0, avg: 4.9, max: 65.0) +[2026-06-06 18:26:35,511][186392] Avg episode reward: [(0, '4400.550')] +[2026-06-06 18:26:35,515][187720] Saving new best policy, reward=4400.550! +[2026-06-06 18:26:36,912][187799] Updated weights for policy 0, policy_version 16912 (0.0024) +[2026-06-06 18:26:40,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6963.2, 300 sec: 6886.8). Total num frames: 8683520. Throughput: 0: 7042.9. Samples: 8704512. Policy #0 lag: (min: 2.0, avg: 4.8, max: 66.0) +[2026-06-06 18:26:40,511][186392] Avg episode reward: [(0, '4367.150')] +[2026-06-06 18:26:41,760][187799] Updated weights for policy 0, policy_version 17008 (0.0016) +[2026-06-06 18:26:45,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6963.2, 300 sec: 6886.8). Total num frames: 8716288. Throughput: 0: 7008.7. Samples: 8724992. Policy #0 lag: (min: 2.0, avg: 4.8, max: 66.0) +[2026-06-06 18:26:45,512][186392] Avg episode reward: [(0, '4525.250')] +[2026-06-06 18:26:45,518][187720] Saving new best policy, reward=4525.250! +[2026-06-06 18:26:46,202][187720] Signal inference workers to stop experience collection... (800 times) +[2026-06-06 18:26:46,233][187799] InferenceWorker_p0-w0: stopping experience collection (800 times) +[2026-06-06 18:26:46,362][187720] Signal inference workers to resume experience collection... (800 times) +[2026-06-06 18:26:46,363][187799] InferenceWorker_p0-w0: resuming experience collection (800 times) +[2026-06-06 18:26:50,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6826.7, 300 sec: 6886.8). Total num frames: 8749056. Throughput: 0: 7054.2. Samples: 8766976. Policy #0 lag: (min: 2.0, avg: 4.8, max: 66.0) +[2026-06-06 18:26:50,512][186392] Avg episode reward: [(0, '4408.700')] +[2026-06-06 18:26:50,860][187799] Updated weights for policy 0, policy_version 17104 (0.0018) +[2026-06-06 18:26:55,510][186392] Fps is (10 sec: 7373.1, 60 sec: 6826.7, 300 sec: 6914.6). Total num frames: 8790016. Throughput: 0: 7088.4. Samples: 8810496. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:26:55,511][186392] Avg episode reward: [(0, '4427.550')] +[2026-06-06 18:26:55,795][187799] Updated weights for policy 0, policy_version 17200 (0.0015) +[2026-06-06 18:27:00,511][186392] Fps is (10 sec: 9011.1, 60 sec: 6963.2, 300 sec: 6970.1). Total num frames: 8839168. Throughput: 0: 7054.2. Samples: 8831488. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:27:00,512][186392] Avg episode reward: [(0, '4522.500')] +[2026-06-06 18:27:00,595][187799] Updated weights for policy 0, policy_version 17280 (0.0016) +[2026-06-06 18:27:05,511][186392] Fps is (10 sec: 8191.7, 60 sec: 6963.2, 300 sec: 6970.1). Total num frames: 8871936. Throughput: 0: 7042.8. Samples: 8872448. Policy #0 lag: (min: 9.0, avg: 11.8, max: 73.0) +[2026-06-06 18:27:05,512][186392] Avg episode reward: [(0, '4455.500')] +[2026-06-06 18:27:10,430][187799] Updated weights for policy 0, policy_version 17399 (0.0016) +[2026-06-06 18:27:10,510][186392] Fps is (10 sec: 6553.8, 60 sec: 6963.2, 300 sec: 6970.1). Total num frames: 8904704. Throughput: 0: 7008.8. Samples: 8912384. Policy #0 lag: (min: 9.0, avg: 11.8, max: 73.0) +[2026-06-06 18:27:10,511][186392] Avg episode reward: [(0, '4507.950')] +[2026-06-06 18:27:15,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6963.2, 300 sec: 6970.2). Total num frames: 8937472. Throughput: 0: 6917.7. Samples: 8930816. Policy #0 lag: (min: 9.0, avg: 11.8, max: 73.0) +[2026-06-06 18:27:15,512][186392] Avg episode reward: [(0, '4535.750')] +[2026-06-06 18:27:15,680][187799] Updated weights for policy 0, policy_version 17471 (0.0015) +[2026-06-06 18:27:15,682][187720] Saving new best policy, reward=4535.750! +[2026-06-06 18:27:20,510][186392] Fps is (10 sec: 5734.4, 60 sec: 6826.7, 300 sec: 6942.4). Total num frames: 8962048. Throughput: 0: 6872.2. Samples: 8970240. Policy #0 lag: (min: 1.0, avg: 3.9, max: 65.0) +[2026-06-06 18:27:20,511][186392] Avg episode reward: [(0, '4472.700')] +[2026-06-06 18:27:25,510][186392] Fps is (10 sec: 6553.8, 60 sec: 6963.2, 300 sec: 6970.2). Total num frames: 9003008. Throughput: 0: 6747.0. Samples: 9008128. Policy #0 lag: (min: 1.0, avg: 3.9, max: 65.0) +[2026-06-06 18:27:25,512][186392] Avg episode reward: [(0, '4433.800')] +[2026-06-06 18:27:25,614][187799] Updated weights for policy 0, policy_version 17588 (0.0017) +[2026-06-06 18:27:30,510][186392] Fps is (10 sec: 7372.8, 60 sec: 6963.2, 300 sec: 6970.1). Total num frames: 9035776. Throughput: 0: 6735.7. Samples: 9028096. Policy #0 lag: (min: 1.0, avg: 3.9, max: 65.0) +[2026-06-06 18:27:30,512][186392] Avg episode reward: [(0, '4251.400')] +[2026-06-06 18:27:35,511][186392] Fps is (10 sec: 4915.0, 60 sec: 6690.1, 300 sec: 6914.6). Total num frames: 9052160. Throughput: 0: 6644.6. Samples: 9065984. Policy #0 lag: (min: 6.0, avg: 8.7, max: 70.0) +[2026-06-06 18:27:35,512][186392] Avg episode reward: [(0, '4251.050')] +[2026-06-06 18:27:35,645][187799] Updated weights for policy 0, policy_version 17696 (0.0019) +[2026-06-06 18:27:40,511][186392] Fps is (10 sec: 4095.9, 60 sec: 6553.6, 300 sec: 6886.8). Total num frames: 9076736. Throughput: 0: 6519.4. Samples: 9103872. Policy #0 lag: (min: 6.0, avg: 8.7, max: 70.0) +[2026-06-06 18:27:40,513][186392] Avg episode reward: [(0, '4140.100')] +[2026-06-06 18:27:41,524][187799] Updated weights for policy 0, policy_version 17792 (0.0017) +[2026-06-06 18:27:45,510][186392] Fps is (10 sec: 5734.6, 60 sec: 6553.6, 300 sec: 6886.8). Total num frames: 9109504. Throughput: 0: 6428.5. Samples: 9120768. Policy #0 lag: (min: 6.0, avg: 8.7, max: 70.0) +[2026-06-06 18:27:45,512][186392] Avg episode reward: [(0, '4036.000')] +[2026-06-06 18:27:50,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6886.8). Total num frames: 9142272. Throughput: 0: 6383.0. Samples: 9159680. Policy #0 lag: (min: 6.0, avg: 8.7, max: 70.0) +[2026-06-06 18:27:50,512][186392] Avg episode reward: [(0, '4161.750')] +[2026-06-06 18:27:51,658][187799] Updated weights for policy 0, policy_version 17904 (0.0020) +[2026-06-06 18:27:55,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6417.0, 300 sec: 6886.8). Total num frames: 9175040. Throughput: 0: 6303.3. Samples: 9196032. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0) +[2026-06-06 18:27:55,512][186392] Avg episode reward: [(0, '4257.550')] +[2026-06-06 18:27:57,347][187799] Updated weights for policy 0, policy_version 17984 (0.0018) +[2026-06-06 18:28:00,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6144.0, 300 sec: 6831.3). Total num frames: 9207808. Throughput: 0: 6303.3. Samples: 9214464. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0) +[2026-06-06 18:28:00,514][186392] Avg episode reward: [(0, '4243.850')] +[2026-06-06 18:28:05,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6144.0, 300 sec: 6775.8). Total num frames: 9240576. Throughput: 0: 6257.8. Samples: 9251840. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0) +[2026-06-06 18:28:05,512][186392] Avg episode reward: [(0, '4109.250')] +[2026-06-06 18:28:07,445][187799] Updated weights for policy 0, policy_version 18096 (0.0018) +[2026-06-06 18:28:10,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6144.0, 300 sec: 6775.8). Total num frames: 9273344. Throughput: 0: 6291.9. Samples: 9291264. Policy #0 lag: (min: 8.0, avg: 10.7, max: 72.0) +[2026-06-06 18:28:10,512][186392] Avg episode reward: [(0, '4128.900')] +[2026-06-06 18:28:12,115][187720] Signal inference workers to stop experience collection... (850 times) +[2026-06-06 18:28:12,148][187799] InferenceWorker_p0-w0: stopping experience collection (850 times) +[2026-06-06 18:28:12,256][187720] Signal inference workers to resume experience collection... (850 times) +[2026-06-06 18:28:12,257][187799] InferenceWorker_p0-w0: resuming experience collection (850 times) +[2026-06-06 18:28:12,716][187799] Updated weights for policy 0, policy_version 18176 (0.0014) +[2026-06-06 18:28:15,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6144.0, 300 sec: 6775.8). Total num frames: 9306112. Throughput: 0: 6257.8. Samples: 9309696. Policy #0 lag: (min: 8.0, avg: 10.7, max: 72.0) +[2026-06-06 18:28:15,512][186392] Avg episode reward: [(0, '4123.450')] +[2026-06-06 18:28:20,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6280.5, 300 sec: 6775.8). Total num frames: 9338880. Throughput: 0: 6291.9. Samples: 9349120. Policy #0 lag: (min: 8.0, avg: 10.7, max: 72.0) +[2026-06-06 18:28:20,512][186392] Avg episode reward: [(0, '4171.750')] +[2026-06-06 18:28:22,432][187799] Updated weights for policy 0, policy_version 18288 (0.0018) +[2026-06-06 18:28:25,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6144.0, 300 sec: 6775.8). Total num frames: 9371648. Throughput: 0: 6360.2. Samples: 9390080. Policy #0 lag: (min: 2.0, avg: 5.7, max: 66.0) +[2026-06-06 18:28:25,512][186392] Avg episode reward: [(0, '4258.350')] +[2026-06-06 18:28:30,510][186392] Fps is (10 sec: 6553.8, 60 sec: 6144.0, 300 sec: 6775.8). Total num frames: 9404416. Throughput: 0: 6417.1. Samples: 9409536. Policy #0 lag: (min: 2.0, avg: 5.7, max: 66.0) +[2026-06-06 18:28:30,513][186392] Avg episode reward: [(0, '4373.950')] +[2026-06-06 18:28:31,896][187799] Updated weights for policy 0, policy_version 18400 (0.0012) +[2026-06-06 18:28:35,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6417.1, 300 sec: 6775.8). Total num frames: 9437184. Throughput: 0: 6485.3. Samples: 9451520. Policy #0 lag: (min: 2.0, avg: 5.7, max: 66.0) +[2026-06-06 18:28:35,512][186392] Avg episode reward: [(0, '4145.500')] +[2026-06-06 18:28:36,944][187799] Updated weights for policy 0, policy_version 18481 (0.0014) +[2026-06-06 18:28:40,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 9469952. Throughput: 0: 6565.0. Samples: 9491456. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-06 18:28:40,511][186392] Avg episode reward: [(0, '4211.900')] +[2026-06-06 18:28:41,903][187799] Updated weights for policy 0, policy_version 18556 (0.0015) +[2026-06-06 18:28:45,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 9502720. Throughput: 0: 6621.9. Samples: 9512448. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-06 18:28:45,512][186392] Avg episode reward: [(0, '4320.300')] +[2026-06-06 18:28:50,510][186392] Fps is (10 sec: 6553.4, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 9535488. Throughput: 0: 6747.0. Samples: 9555456. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-06 18:28:50,512][186392] Avg episode reward: [(0, '4286.000')] +[2026-06-06 18:28:50,700][187799] Updated weights for policy 0, policy_version 18641 (0.0017) +[2026-06-06 18:28:55,510][186392] Fps is (10 sec: 8192.2, 60 sec: 6826.7, 300 sec: 6831.3). Total num frames: 9584640. Throughput: 0: 6826.7. Samples: 9598464. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-06 18:28:55,511][186392] Avg episode reward: [(0, '4119.000')] +[2026-06-06 18:28:55,622][187799] Updated weights for policy 0, policy_version 18738 (0.0015) +[2026-06-06 18:29:00,401][187799] Updated weights for policy 0, policy_version 18816 (0.0015) +[2026-06-06 18:29:00,510][186392] Fps is (10 sec: 9830.6, 60 sec: 7099.7, 300 sec: 6803.5). Total num frames: 9633792. Throughput: 0: 6849.4. Samples: 9617920. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-06 18:29:00,511][186392] Avg episode reward: [(0, '4099.200')] +[2026-06-06 18:29:05,510][186392] Fps is (10 sec: 8191.8, 60 sec: 7099.7, 300 sec: 6803.5). Total num frames: 9666560. Throughput: 0: 6951.8. Samples: 9661952. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:29:05,512][186392] Avg episode reward: [(0, '4158.350')] +[2026-06-06 18:29:09,455][187799] Updated weights for policy 0, policy_version 18932 (0.0017) +[2026-06-06 18:29:10,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 9699328. Throughput: 0: 6951.8. Samples: 9702912. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:29:10,511][186392] Avg episode reward: [(0, '4309.900')] +[2026-06-06 18:29:14,300][187799] Updated weights for policy 0, policy_version 19008 (0.0016) +[2026-06-06 18:29:15,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 9732096. Throughput: 0: 7031.5. Samples: 9725952. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:29:15,511][186392] Avg episode reward: [(0, '4369.450')] +[2026-06-06 18:29:20,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.8, 300 sec: 6775.8). Total num frames: 9764864. Throughput: 0: 7054.3. Samples: 9768960. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-06 18:29:20,511][186392] Avg episode reward: [(0, '4375.150')] +[2026-06-06 18:29:23,196][187799] Updated weights for policy 0, policy_version 19120 (0.0018) +[2026-06-06 18:29:25,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 9797632. Throughput: 0: 7088.3. Samples: 9810432. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-06 18:29:25,512][186392] Avg episode reward: [(0, '4339.550')] +[2026-06-06 18:29:27,833][187799] Updated weights for policy 0, policy_version 19193 (0.0017) +[2026-06-06 18:29:30,511][186392] Fps is (10 sec: 6553.4, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 9830400. Throughput: 0: 7122.5. Samples: 9832960. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-06 18:29:30,512][186392] Avg episode reward: [(0, '4420.100')] +[2026-06-06 18:29:31,593][187720] Signal inference workers to stop experience collection... (900 times) +[2026-06-06 18:29:31,622][187799] InferenceWorker_p0-w0: stopping experience collection (900 times) +[2026-06-06 18:29:31,739][187720] Signal inference workers to resume experience collection... (900 times) +[2026-06-06 18:29:31,740][187799] InferenceWorker_p0-w0: resuming experience collection (900 times) +[2026-06-06 18:29:35,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 9863168. Throughput: 0: 7145.3. Samples: 9876992. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-06 18:29:35,512][186392] Avg episode reward: [(0, '4444.750')] +[2026-06-06 18:29:36,557][187799] Updated weights for policy 0, policy_version 19296 (0.0018) +[2026-06-06 18:29:40,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 9895936. Throughput: 0: 7168.0. Samples: 9921024. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-06 18:29:40,511][186392] Avg episode reward: [(0, '4471.450')] +[2026-06-06 18:29:41,561][187799] Updated weights for policy 0, policy_version 19390 (0.0016) +[2026-06-06 18:29:45,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 9928704. Throughput: 0: 7168.0. Samples: 9940480. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-06 18:29:45,512][186392] Avg episode reward: [(0, '4544.150')] +[2026-06-06 18:29:45,519][187720] Saving new best policy, reward=4544.150! +[2026-06-06 18:29:50,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 9961472. Throughput: 0: 7088.3. Samples: 9980928. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-06 18:29:50,513][186392] Avg episode reward: [(0, '4579.550')] +[2026-06-06 18:29:50,518][187720] Saving new best policy, reward=4579.550! +[2026-06-06 18:29:50,971][187799] Updated weights for policy 0, policy_version 19488 (0.0018) +[2026-06-06 18:29:55,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6826.6, 300 sec: 6775.8). Total num frames: 9994240. Throughput: 0: 7111.1. Samples: 10022912. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-06 18:29:55,512][186392] Avg episode reward: [(0, '4750.750')] +[2026-06-06 18:29:55,803][187720] Saving new best policy, reward=4750.750! +[2026-06-06 18:29:56,028][187799] Updated weights for policy 0, policy_version 19568 (0.0015) +[2026-06-06 18:30:00,510][186392] Fps is (10 sec: 7372.9, 60 sec: 6690.1, 300 sec: 6803.5). Total num frames: 10035200. Throughput: 0: 7008.7. Samples: 10041344. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-06 18:30:00,512][186392] Avg episode reward: [(0, '4687.350')] +[2026-06-06 18:30:01,053][187799] Updated weights for policy 0, policy_version 19639 (0.0015) +[2026-06-06 18:30:05,510][186392] Fps is (10 sec: 7373.0, 60 sec: 6690.1, 300 sec: 6803.5). Total num frames: 10067968. Throughput: 0: 6974.6. Samples: 10082816. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-06 18:30:05,512][186392] Avg episode reward: [(0, '4590.150')] +[2026-06-06 18:30:10,285][187799] Updated weights for policy 0, policy_version 19728 (0.0016) +[2026-06-06 18:30:10,510][186392] Fps is (10 sec: 7373.0, 60 sec: 6826.7, 300 sec: 6831.3). Total num frames: 10108928. Throughput: 0: 6940.5. Samples: 10122752. Policy #0 lag: (min: 15.0, avg: 18.6, max: 79.0) +[2026-06-06 18:30:10,511][186392] Avg episode reward: [(0, '4757.150')] +[2026-06-06 18:30:10,918][187720] Saving new best policy, reward=4757.150! +[2026-06-06 18:30:15,510][186392] Fps is (10 sec: 8192.2, 60 sec: 6963.2, 300 sec: 6859.1). Total num frames: 10149888. Throughput: 0: 6860.9. Samples: 10141696. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-06 18:30:15,511][186392] Avg episode reward: [(0, '4851.050')] +[2026-06-06 18:30:15,547][187799] Updated weights for policy 0, policy_version 19827 (0.0018) +[2026-06-06 18:30:15,739][187720] Saving new best policy, reward=4851.050! +[2026-06-06 18:30:20,510][186392] Fps is (10 sec: 7372.6, 60 sec: 6963.2, 300 sec: 6859.1). Total num frames: 10182656. Throughput: 0: 6815.3. Samples: 10183680. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-06 18:30:20,511][186392] Avg episode reward: [(0, '4804.900')] +[2026-06-06 18:30:20,571][187799] Updated weights for policy 0, policy_version 19900 (0.0019) +[2026-06-06 18:30:25,510][186392] Fps is (10 sec: 7372.7, 60 sec: 7099.7, 300 sec: 6886.8). Total num frames: 10223616. Throughput: 0: 6747.0. Samples: 10224640. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-06 18:30:25,511][186392] Avg episode reward: [(0, '4800.400')] +[2026-06-06 18:30:29,546][187799] Updated weights for policy 0, policy_version 19984 (0.0015) +[2026-06-06 18:30:30,510][186392] Fps is (10 sec: 7372.8, 60 sec: 7099.8, 300 sec: 6886.8). Total num frames: 10256384. Throughput: 0: 6747.0. Samples: 10244096. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:30:30,512][186392] Avg episode reward: [(0, '4847.100')] +[2026-06-06 18:30:34,606][187799] Updated weights for policy 0, policy_version 20083 (0.0016) +[2026-06-06 18:30:35,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 6859.1). Total num frames: 10289152. Throughput: 0: 6803.9. Samples: 10287104. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:30:35,512][186392] Avg episode reward: [(0, '4827.200')] +[2026-06-06 18:30:39,537][187799] Updated weights for policy 0, policy_version 20160 (0.0016) +[2026-06-06 18:30:40,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6859.1). Total num frames: 10321920. Throughput: 0: 6758.4. Samples: 10327040. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:30:40,511][186392] Avg episode reward: [(0, '4813.650')] +[2026-06-06 18:30:45,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 6831.3). Total num frames: 10354688. Throughput: 0: 6849.4. Samples: 10349568. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:30:45,511][186392] Avg episode reward: [(0, '5047.200')] +[2026-06-06 18:30:45,517][187720] Saving new best policy, reward=5047.200! +[2026-06-06 18:30:48,689][187799] Updated weights for policy 0, policy_version 20256 (0.0015) +[2026-06-06 18:30:48,689][187720] Signal inference workers to stop experience collection... (950 times) +[2026-06-06 18:30:48,718][187799] InferenceWorker_p0-w0: stopping experience collection (950 times) +[2026-06-06 18:30:48,882][187720] Signal inference workers to resume experience collection... (950 times) +[2026-06-06 18:30:48,883][187799] InferenceWorker_p0-w0: resuming experience collection (950 times) +[2026-06-06 18:30:50,511][186392] Fps is (10 sec: 6553.3, 60 sec: 7099.7, 300 sec: 6803.5). Total num frames: 10387456. Throughput: 0: 6792.5. Samples: 10388480. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:30:50,513][186392] Avg episode reward: [(0, '5088.000')] +[2026-06-06 18:30:50,519][187720] Saving new best policy, reward=5088.000! +[2026-06-06 18:30:53,885][187799] Updated weights for policy 0, policy_version 20352 (0.0018) +[2026-06-06 18:30:55,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 6775.8). Total num frames: 10420224. Throughput: 0: 6826.6. Samples: 10429952. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:30:55,512][186392] Avg episode reward: [(0, '5065.500')] +[2026-06-06 18:31:00,510][186392] Fps is (10 sec: 6553.9, 60 sec: 6963.2, 300 sec: 6775.8). Total num frames: 10452992. Throughput: 0: 6872.2. Samples: 10450944. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:31:00,511][186392] Avg episode reward: [(0, '5149.000')] +[2026-06-06 18:31:00,519][187720] Saving new best policy, reward=5149.000! +[2026-06-06 18:31:03,252][187799] Updated weights for policy 0, policy_version 20464 (0.0016) +[2026-06-06 18:31:05,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6963.2, 300 sec: 6775.8). Total num frames: 10485760. Throughput: 0: 6826.7. Samples: 10490880. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:31:05,511][186392] Avg episode reward: [(0, '5111.000')] +[2026-06-06 18:31:08,357][187799] Updated weights for policy 0, policy_version 20541 (0.0014) +[2026-06-06 18:31:10,511][186392] Fps is (10 sec: 6553.4, 60 sec: 6826.6, 300 sec: 6775.8). Total num frames: 10518528. Throughput: 0: 6803.9. Samples: 10530816. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:31:10,513][186392] Avg episode reward: [(0, '5266.300')] +[2026-06-06 18:31:10,518][187720] Saving new best policy, reward=5266.300! +[2026-06-06 18:31:15,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6690.1, 300 sec: 6775.8). Total num frames: 10551296. Throughput: 0: 6849.4. Samples: 10552320. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:31:15,511][186392] Avg episode reward: [(0, '5306.850')] +[2026-06-06 18:31:15,518][187720] Saving new best policy, reward=5306.850! +[2026-06-06 18:31:17,831][187799] Updated weights for policy 0, policy_version 20624 (0.0019) +[2026-06-06 18:31:20,510][186392] Fps is (10 sec: 6553.8, 60 sec: 6690.1, 300 sec: 6775.8). Total num frames: 10584064. Throughput: 0: 6724.3. Samples: 10589696. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:31:20,511][186392] Avg episode reward: [(0, '5157.250')] +[2026-06-06 18:31:23,049][187799] Updated weights for policy 0, policy_version 20725 (0.0018) +[2026-06-06 18:31:25,514][186392] Fps is (10 sec: 6551.3, 60 sec: 6553.2, 300 sec: 6775.7). Total num frames: 10616832. Throughput: 0: 6769.3. Samples: 10631680. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:31:25,516][186392] Avg episode reward: [(0, '5051.800')] +[2026-06-06 18:31:30,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 10649600. Throughput: 0: 6690.1. Samples: 10650624. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0) +[2026-06-06 18:31:30,511][186392] Avg episode reward: [(0, '5239.950')] +[2026-06-06 18:31:32,650][187799] Updated weights for policy 0, policy_version 20832 (0.0022) +[2026-06-06 18:31:35,510][186392] Fps is (10 sec: 6555.8, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 10682368. Throughput: 0: 6724.3. Samples: 10691072. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0) +[2026-06-06 18:31:35,512][186392] Avg episode reward: [(0, '5353.900')] +[2026-06-06 18:31:35,517][187720] Saving new best policy, reward=5353.900! +[2026-06-06 18:31:37,594][187799] Updated weights for policy 0, policy_version 20926 (0.0015) +[2026-06-06 18:31:40,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 10715136. Throughput: 0: 6769.8. Samples: 10734592. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0) +[2026-06-06 18:31:40,512][186392] Avg episode reward: [(0, '5347.700')] +[2026-06-06 18:31:45,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6775.8). Total num frames: 10747904. Throughput: 0: 6735.7. Samples: 10754048. Policy #0 lag: (min: 20.0, avg: 22.9, max: 84.0) +[2026-06-06 18:31:45,511][186392] Avg episode reward: [(0, '5446.250')] +[2026-06-06 18:31:45,516][187720] Saving new best policy, reward=5446.250! +[2026-06-06 18:31:46,467][187799] Updated weights for policy 0, policy_version 21008 (0.0017) +[2026-06-06 18:31:50,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6553.6, 300 sec: 6748.0). Total num frames: 10780672. Throughput: 0: 6815.3. Samples: 10797568. Policy #0 lag: (min: 20.0, avg: 22.9, max: 84.0) +[2026-06-06 18:31:50,512][186392] Avg episode reward: [(0, '5324.100')] +[2026-06-06 18:31:51,280][187799] Updated weights for policy 0, policy_version 21088 (0.0019) +[2026-06-06 18:31:55,511][186392] Fps is (10 sec: 6553.0, 60 sec: 6553.5, 300 sec: 6692.4). Total num frames: 10813440. Throughput: 0: 6849.4. Samples: 10839040. Policy #0 lag: (min: 20.0, avg: 22.9, max: 84.0) +[2026-06-06 18:31:55,514][186392] Avg episode reward: [(0, '5472.100')] +[2026-06-06 18:31:55,521][187720] Saving new best policy, reward=5472.100! +[2026-06-06 18:31:56,385][187799] Updated weights for policy 0, policy_version 21171 (0.0013) +[2026-06-06 18:32:00,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6692.4). Total num frames: 10846208. Throughput: 0: 6781.1. Samples: 10857472. Policy #0 lag: (min: 45.0, avg: 48.8, max: 109.0) +[2026-06-06 18:32:00,512][186392] Avg episode reward: [(0, '5701.950')] +[2026-06-06 18:32:00,518][187720] Saving new best policy, reward=5701.950! +[2026-06-06 18:32:05,354][187799] Updated weights for policy 0, policy_version 21264 (0.0021) +[2026-06-06 18:32:05,511][186392] Fps is (10 sec: 8192.3, 60 sec: 6826.6, 300 sec: 6748.0). Total num frames: 10895360. Throughput: 0: 6917.6. Samples: 10900992. Policy #0 lag: (min: 45.0, avg: 48.8, max: 109.0) +[2026-06-06 18:32:05,512][186392] Avg episode reward: [(0, '5602.400')] +[2026-06-06 18:32:10,348][187720] Signal inference workers to stop experience collection... (1000 times) +[2026-06-06 18:32:10,382][187799] InferenceWorker_p0-w0: stopping experience collection (1000 times) +[2026-06-06 18:32:10,499][187720] Signal inference workers to resume experience collection... (1000 times) +[2026-06-06 18:32:10,500][187799] InferenceWorker_p0-w0: resuming experience collection (1000 times) +[2026-06-06 18:32:10,511][186392] Fps is (10 sec: 8191.7, 60 sec: 6826.7, 300 sec: 6748.0). Total num frames: 10928128. Throughput: 0: 6872.6. Samples: 10940928. Policy #0 lag: (min: 45.0, avg: 48.8, max: 109.0) +[2026-06-06 18:32:10,513][186392] Avg episode reward: [(0, '5743.250')] +[2026-06-06 18:32:10,925][187799] Updated weights for policy 0, policy_version 21374 (0.0017) +[2026-06-06 18:32:10,937][187720] Saving new best policy, reward=5743.250! +[2026-06-06 18:32:15,511][186392] Fps is (10 sec: 7372.9, 60 sec: 6963.2, 300 sec: 6803.5). Total num frames: 10969088. Throughput: 0: 6894.9. Samples: 10960896. Policy #0 lag: (min: 5.0, avg: 7.8, max: 69.0) +[2026-06-06 18:32:15,512][186392] Avg episode reward: [(0, '5814.050')] +[2026-06-06 18:32:15,673][187720] Saving new best policy, reward=5814.050! +[2026-06-06 18:32:20,329][187799] Updated weights for policy 0, policy_version 21488 (0.0016) +[2026-06-06 18:32:20,511][186392] Fps is (10 sec: 7372.9, 60 sec: 6963.2, 300 sec: 6775.7). Total num frames: 11001856. Throughput: 0: 6906.3. Samples: 11001856. Policy #0 lag: (min: 5.0, avg: 7.8, max: 69.0) +[2026-06-06 18:32:20,512][186392] Avg episode reward: [(0, '5765.100')] +[2026-06-06 18:32:25,372][187799] Updated weights for policy 0, policy_version 21568 (0.0016) +[2026-06-06 18:32:25,511][186392] Fps is (10 sec: 7372.6, 60 sec: 7100.1, 300 sec: 6803.5). Total num frames: 11042816. Throughput: 0: 6860.7. Samples: 11043328. Policy #0 lag: (min: 5.0, avg: 7.8, max: 69.0) +[2026-06-06 18:32:25,513][186392] Avg episode reward: [(0, '5805.050')] +[2026-06-06 18:32:30,511][186392] Fps is (10 sec: 7372.9, 60 sec: 7099.7, 300 sec: 6859.1). Total num frames: 11075584. Throughput: 0: 6883.5. Samples: 11063808. Policy #0 lag: (min: 38.0, avg: 40.7, max: 102.0) +[2026-06-06 18:32:30,512][186392] Avg episode reward: [(0, '5642.200')] +[2026-06-06 18:32:34,290][187799] Updated weights for policy 0, policy_version 21666 (0.0015) +[2026-06-06 18:32:35,511][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6886.8). Total num frames: 11108352. Throughput: 0: 6894.9. Samples: 11107840. Policy #0 lag: (min: 38.0, avg: 40.7, max: 102.0) +[2026-06-06 18:32:35,513][186392] Avg episode reward: [(0, '5535.300')] +[2026-06-06 18:32:39,433][187799] Updated weights for policy 0, policy_version 21756 (0.0013) +[2026-06-06 18:32:40,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 6886.8). Total num frames: 11141120. Throughput: 0: 6815.3. Samples: 11145728. Policy #0 lag: (min: 38.0, avg: 40.7, max: 102.0) +[2026-06-06 18:32:40,512][186392] Avg episode reward: [(0, '5623.050')] +[2026-06-06 18:32:45,511][186392] Fps is (10 sec: 6553.9, 60 sec: 7099.7, 300 sec: 6886.8). Total num frames: 11173888. Throughput: 0: 6883.6. Samples: 11167232. Policy #0 lag: (min: 38.0, avg: 40.7, max: 102.0) +[2026-06-06 18:32:45,512][186392] Avg episode reward: [(0, '5585.350')] +[2026-06-06 18:32:49,018][187799] Updated weights for policy 0, policy_version 21872 (0.0020) +[2026-06-06 18:32:50,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.7, 300 sec: 6886.8). Total num frames: 11206656. Throughput: 0: 6815.3. Samples: 11207680. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:32:50,512][186392] Avg episode reward: [(0, '5458.700')] +[2026-06-06 18:32:55,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.8, 300 sec: 6886.8). Total num frames: 11239424. Throughput: 0: 6804.0. Samples: 11247104. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:32:55,512][186392] Avg episode reward: [(0, '5380.850')] +[2026-06-06 18:32:58,547][187799] Updated weights for policy 0, policy_version 21968 (0.0016) +[2026-06-06 18:33:00,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 6886.8). Total num frames: 11272192. Throughput: 0: 6826.7. Samples: 11268096. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:33:00,513][186392] Avg episode reward: [(0, '5332.700')] +[2026-06-06 18:33:03,749][187799] Updated weights for policy 0, policy_version 22064 (0.0014) +[2026-06-06 18:33:05,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6826.7, 300 sec: 6886.8). Total num frames: 11304960. Throughput: 0: 6769.8. Samples: 11306496. Policy #0 lag: (min: 22.0, avg: 25.4, max: 86.0) +[2026-06-06 18:33:05,511][186392] Avg episode reward: [(0, '5542.850')] +[2026-06-06 18:33:10,511][186392] Fps is (10 sec: 6553.6, 60 sec: 6826.7, 300 sec: 6886.8). Total num frames: 11337728. Throughput: 0: 6826.7. Samples: 11350528. Policy #0 lag: (min: 22.0, avg: 25.4, max: 86.0) +[2026-06-06 18:33:10,513][186392] Avg episode reward: [(0, '5419.750')] +[2026-06-06 18:33:12,597][187799] Updated weights for policy 0, policy_version 22160 (0.0021) +[2026-06-06 18:33:15,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6690.1, 300 sec: 6886.8). Total num frames: 11370496. Throughput: 0: 6838.0. Samples: 11371520. Policy #0 lag: (min: 22.0, avg: 25.4, max: 86.0) +[2026-06-06 18:33:15,512][186392] Avg episode reward: [(0, '5477.850')] +[2026-06-06 18:33:17,651][187799] Updated weights for policy 0, policy_version 22259 (0.0016) +[2026-06-06 18:33:20,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6690.2, 300 sec: 6886.8). Total num frames: 11403264. Throughput: 0: 6792.6. Samples: 11413504. Policy #0 lag: (min: 22.0, avg: 25.4, max: 86.0) +[2026-06-06 18:33:20,512][186392] Avg episode reward: [(0, '5500.550')] +[2026-06-06 18:33:22,399][187799] Updated weights for policy 0, policy_version 22336 (0.0018) +[2026-06-06 18:33:25,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6886.8). Total num frames: 11436032. Throughput: 0: 6917.7. Samples: 11457024. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:33:25,512][186392] Avg episode reward: [(0, '5590.750')] +[2026-06-06 18:33:30,511][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6886.8). Total num frames: 11468800. Throughput: 0: 6929.1. Samples: 11479040. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:33:30,512][186392] Avg episode reward: [(0, '5581.150')] +[2026-06-06 18:33:30,680][187720] Signal inference workers to stop experience collection... (1050 times) +[2026-06-06 18:33:30,711][187799] InferenceWorker_p0-w0: stopping experience collection (1050 times) +[2026-06-06 18:33:30,877][187720] Signal inference workers to resume experience collection... (1050 times) +[2026-06-06 18:33:30,880][187799] InferenceWorker_p0-w0: resuming experience collection (1050 times) +[2026-06-06 18:33:31,053][187799] Updated weights for policy 0, policy_version 22432 (0.0017) +[2026-06-06 18:33:35,511][186392] Fps is (10 sec: 6553.4, 60 sec: 6553.6, 300 sec: 6886.8). Total num frames: 11501568. Throughput: 0: 6974.5. Samples: 11521536. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:33:35,512][186392] Avg episode reward: [(0, '5632.700')] +[2026-06-06 18:33:36,034][187799] Updated weights for policy 0, policy_version 22521 (0.0014) +[2026-06-06 18:33:40,511][186392] Fps is (10 sec: 8191.4, 60 sec: 6826.6, 300 sec: 6942.4). Total num frames: 11550720. Throughput: 0: 7065.5. Samples: 11565056. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-06 18:33:40,513][186392] Avg episode reward: [(0, '5656.350')] +[2026-06-06 18:33:40,867][187720] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride7_seed12/checkpoint_p0/checkpoint_000022592_11567104.pth... +[2026-06-06 18:33:45,177][187799] Updated weights for policy 0, policy_version 22624 (0.0016) +[2026-06-06 18:33:45,510][186392] Fps is (10 sec: 9011.4, 60 sec: 6963.2, 300 sec: 6970.1). Total num frames: 11591680. Throughput: 0: 7031.5. Samples: 11584512. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-06 18:33:45,512][186392] Avg episode reward: [(0, '5679.600')] +[2026-06-06 18:33:50,235][187799] Updated weights for policy 0, policy_version 22713 (0.0016) +[2026-06-06 18:33:50,510][186392] Fps is (10 sec: 8192.8, 60 sec: 7099.7, 300 sec: 6942.4). Total num frames: 11632640. Throughput: 0: 7122.5. Samples: 11627008. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-06 18:33:50,511][186392] Avg episode reward: [(0, '5702.450')] +[2026-06-06 18:33:55,511][186392] Fps is (10 sec: 6553.4, 60 sec: 6963.2, 300 sec: 6859.1). Total num frames: 11657216. Throughput: 0: 7008.7. Samples: 11665920. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-06 18:33:55,512][186392] Avg episode reward: [(0, '5490.950')] +[2026-06-06 18:33:59,610][187799] Updated weights for policy 0, policy_version 22800 (0.0019) +[2026-06-06 18:34:00,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.8, 300 sec: 6886.8). Total num frames: 11698176. Throughput: 0: 6974.6. Samples: 11685376. Policy #0 lag: (min: 8.0, avg: 11.7, max: 72.0) +[2026-06-06 18:34:00,511][186392] Avg episode reward: [(0, '5459.350')] +[2026-06-06 18:34:04,765][187799] Updated weights for policy 0, policy_version 22900 (0.0016) +[2026-06-06 18:34:05,511][186392] Fps is (10 sec: 7373.0, 60 sec: 7099.7, 300 sec: 6886.8). Total num frames: 11730944. Throughput: 0: 6985.9. Samples: 11727872. Policy #0 lag: (min: 8.0, avg: 11.7, max: 72.0) +[2026-06-06 18:34:05,513][186392] Avg episode reward: [(0, '5530.650')] +[2026-06-06 18:34:10,511][186392] Fps is (10 sec: 6553.3, 60 sec: 7099.7, 300 sec: 6886.8). Total num frames: 11763712. Throughput: 0: 6883.5. Samples: 11766784. Policy #0 lag: (min: 8.0, avg: 11.7, max: 72.0) +[2026-06-06 18:34:10,513][186392] Avg episode reward: [(0, '5423.200')] +[2026-06-06 18:34:14,008][187799] Updated weights for policy 0, policy_version 22992 (0.0019) +[2026-06-06 18:34:15,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 6886.8). Total num frames: 11796480. Throughput: 0: 6860.8. Samples: 11787776. Policy #0 lag: (min: 8.0, avg: 11.7, max: 72.0) +[2026-06-06 18:34:15,513][186392] Avg episode reward: [(0, '5607.750')] +[2026-06-06 18:34:19,087][187799] Updated weights for policy 0, policy_version 23088 (0.0014) +[2026-06-06 18:34:20,511][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 6886.8). Total num frames: 11829248. Throughput: 0: 6849.4. Samples: 11829760. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:34:20,514][186392] Avg episode reward: [(0, '5702.450')] +[2026-06-06 18:34:24,170][187799] Updated weights for policy 0, policy_version 23168 (0.0015) +[2026-06-06 18:34:25,511][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6886.8). Total num frames: 11862016. Throughput: 0: 6758.5. Samples: 11869184. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:34:25,513][186392] Avg episode reward: [(0, '5870.600')] +[2026-06-06 18:34:25,519][187720] Saving new best policy, reward=5870.600! +[2026-06-06 18:34:30,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.7, 300 sec: 6886.8). Total num frames: 11894784. Throughput: 0: 6792.5. Samples: 11890176. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:34:30,511][186392] Avg episode reward: [(0, '5989.650')] +[2026-06-06 18:34:30,516][187720] Saving new best policy, reward=5989.650! +[2026-06-06 18:34:33,570][187799] Updated weights for policy 0, policy_version 23284 (0.0019) +[2026-06-06 18:34:35,510][186392] Fps is (10 sec: 6553.9, 60 sec: 7099.8, 300 sec: 6886.8). Total num frames: 11927552. Throughput: 0: 6747.0. Samples: 11930624. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:34:35,511][186392] Avg episode reward: [(0, '6121.050')] +[2026-06-06 18:34:35,514][187720] Saving new best policy, reward=6121.050! +[2026-06-06 18:34:40,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6826.8, 300 sec: 6886.8). Total num frames: 11960320. Throughput: 0: 6826.7. Samples: 11973120. Policy #0 lag: (min: 2.0, avg: 4.8, max: 66.0) +[2026-06-06 18:34:40,512][186392] Avg episode reward: [(0, '6206.450')] +[2026-06-06 18:34:40,521][187720] Saving new best policy, reward=6206.450! +[2026-06-06 18:34:42,414][187799] Updated weights for policy 0, policy_version 23376 (0.0017) +[2026-06-06 18:34:45,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6690.1, 300 sec: 6886.8). Total num frames: 11993088. Throughput: 0: 6872.2. Samples: 11994624. Policy #0 lag: (min: 2.0, avg: 4.8, max: 66.0) +[2026-06-06 18:34:45,512][186392] Avg episode reward: [(0, '6253.850')] +[2026-06-06 18:34:45,518][187720] Saving new best policy, reward=6253.850! +[2026-06-06 18:34:47,174][187799] Updated weights for policy 0, policy_version 23441 (0.0019) +[2026-06-06 18:34:47,307][187720] Signal inference workers to stop experience collection... (1100 times) +[2026-06-06 18:34:47,337][187799] InferenceWorker_p0-w0: stopping experience collection (1100 times) +[2026-06-06 18:34:47,559][187720] Signal inference workers to resume experience collection... (1100 times) +[2026-06-06 18:34:47,561][187799] InferenceWorker_p0-w0: resuming experience collection (1100 times) +[2026-06-06 18:34:50,511][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6886.8). Total num frames: 12025856. Throughput: 0: 6872.2. Samples: 12037120. Policy #0 lag: (min: 2.0, avg: 4.8, max: 66.0) +[2026-06-06 18:34:50,512][186392] Avg episode reward: [(0, '6270.200')] +[2026-06-06 18:34:50,517][187720] Saving new best policy, reward=6270.200! +[2026-06-06 18:34:52,102][187799] Updated weights for policy 0, policy_version 23540 (0.0015) +[2026-06-06 18:34:55,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6690.2, 300 sec: 6859.1). Total num frames: 12058624. Throughput: 0: 6974.6. Samples: 12080640. Policy #0 lag: (min: 2.0, avg: 4.8, max: 66.0) +[2026-06-06 18:34:55,511][186392] Avg episode reward: [(0, '6432.600')] +[2026-06-06 18:34:55,517][187720] Saving new best policy, reward=6432.600! +[2026-06-06 18:34:57,019][187799] Updated weights for policy 0, policy_version 23615 (0.0018) +[2026-06-06 18:35:00,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6553.6, 300 sec: 6859.1). Total num frames: 12091392. Throughput: 0: 6986.0. Samples: 12102144. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-06 18:35:00,512][186392] Avg episode reward: [(0, '6337.250')] +[2026-06-06 18:35:05,478][187799] Updated weights for policy 0, policy_version 23728 (0.0016) +[2026-06-06 18:35:05,510][186392] Fps is (10 sec: 9011.3, 60 sec: 6963.2, 300 sec: 6914.6). Total num frames: 12148736. Throughput: 0: 7020.1. Samples: 12145664. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-06 18:35:05,511][186392] Avg episode reward: [(0, '6325.650')] +[2026-06-06 18:35:10,234][187799] Updated weights for policy 0, policy_version 23808 (0.0015) +[2026-06-06 18:35:10,511][186392] Fps is (10 sec: 9830.6, 60 sec: 7099.8, 300 sec: 6914.6). Total num frames: 12189696. Throughput: 0: 7145.3. Samples: 12190720. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-06 18:35:10,512][186392] Avg episode reward: [(0, '6234.200')] +[2026-06-06 18:35:15,510][186392] Fps is (10 sec: 7372.8, 60 sec: 7099.8, 300 sec: 6914.6). Total num frames: 12222464. Throughput: 0: 7156.6. Samples: 12212224. Policy #0 lag: (min: 6.0, avg: 8.9, max: 70.0) +[2026-06-06 18:35:15,511][186392] Avg episode reward: [(0, '6156.850')] +[2026-06-06 18:35:19,040][187799] Updated weights for policy 0, policy_version 23924 (0.0017) +[2026-06-06 18:35:20,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.8, 300 sec: 6886.8). Total num frames: 12255232. Throughput: 0: 7224.9. Samples: 12255744. Policy #0 lag: (min: 6.0, avg: 8.9, max: 70.0) +[2026-06-06 18:35:20,511][186392] Avg episode reward: [(0, '6120.100')] +[2026-06-06 18:35:25,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.8, 300 sec: 6886.8). Total num frames: 12288000. Throughput: 0: 7247.6. Samples: 12299264. Policy #0 lag: (min: 6.0, avg: 8.9, max: 70.0) +[2026-06-06 18:35:25,512][186392] Avg episode reward: [(0, '6143.100')] +[2026-06-06 18:35:27,684][187799] Updated weights for policy 0, policy_version 24032 (0.0019) +[2026-06-06 18:35:30,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 6886.8). Total num frames: 12320768. Throughput: 0: 7270.4. Samples: 12321792. Policy #0 lag: (min: 6.0, avg: 8.9, max: 70.0) +[2026-06-06 18:35:30,512][186392] Avg episode reward: [(0, '6128.350')] +[2026-06-06 18:35:32,400][187799] Updated weights for policy 0, policy_version 24119 (0.0017) +[2026-06-06 18:35:35,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.7, 300 sec: 6886.8). Total num frames: 12353536. Throughput: 0: 7304.6. Samples: 12365824. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:35:35,511][186392] Avg episode reward: [(0, '6089.250')] +[2026-06-06 18:35:37,023][187799] Updated weights for policy 0, policy_version 24192 (0.0018) +[2026-06-06 18:35:40,511][186392] Fps is (10 sec: 6553.3, 60 sec: 7099.7, 300 sec: 6886.8). Total num frames: 12386304. Throughput: 0: 7361.3. Samples: 12411904. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:35:40,513][186392] Avg episode reward: [(0, '6218.100')] +[2026-06-06 18:35:45,511][186392] Fps is (10 sec: 7372.6, 60 sec: 7236.2, 300 sec: 6914.6). Total num frames: 12427264. Throughput: 0: 7350.1. Samples: 12432896. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:35:45,514][186392] Avg episode reward: [(0, '6312.000')] +[2026-06-06 18:35:45,647][187799] Updated weights for policy 0, policy_version 24304 (0.0018) +[2026-06-06 18:35:50,169][187799] Updated weights for policy 0, policy_version 24376 (0.0018) +[2026-06-06 18:35:50,510][186392] Fps is (10 sec: 9830.9, 60 sec: 7645.9, 300 sec: 6997.9). Total num frames: 12484608. Throughput: 0: 7384.2. Samples: 12477952. Policy #0 lag: (min: 11.0, avg: 14.7, max: 75.0) +[2026-06-06 18:35:50,511][186392] Avg episode reward: [(0, '6313.250')] +[2026-06-06 18:35:55,511][186392] Fps is (10 sec: 9011.4, 60 sec: 7645.9, 300 sec: 6997.9). Total num frames: 12517376. Throughput: 0: 7361.4. Samples: 12521984. Policy #0 lag: (min: 11.0, avg: 14.7, max: 75.0) +[2026-06-06 18:35:55,512][186392] Avg episode reward: [(0, '6430.500')] +[2026-06-06 18:35:58,777][187799] Updated weights for policy 0, policy_version 24480 (0.0016) +[2026-06-06 18:36:00,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7645.9, 300 sec: 6997.9). Total num frames: 12550144. Throughput: 0: 7384.1. Samples: 12544512. Policy #0 lag: (min: 11.0, avg: 14.7, max: 75.0) +[2026-06-06 18:36:00,512][186392] Avg episode reward: [(0, '6348.850')] +[2026-06-06 18:36:02,823][187720] Signal inference workers to stop experience collection... (1150 times) +[2026-06-06 18:36:02,853][187799] InferenceWorker_p0-w0: stopping experience collection (1150 times) +[2026-06-06 18:36:02,960][187720] Signal inference workers to resume experience collection... (1150 times) +[2026-06-06 18:36:02,961][187799] InferenceWorker_p0-w0: resuming experience collection (1150 times) +[2026-06-06 18:36:03,389][187799] Updated weights for policy 0, policy_version 24576 (0.0019) +[2026-06-06 18:36:05,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7236.3, 300 sec: 6997.9). Total num frames: 12582912. Throughput: 0: 7395.5. Samples: 12588544. Policy #0 lag: (min: 11.0, avg: 14.7, max: 75.0) +[2026-06-06 18:36:05,511][186392] Avg episode reward: [(0, '6427.500')] +[2026-06-06 18:36:10,511][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6997.9). Total num frames: 12615680. Throughput: 0: 7486.6. Samples: 12636160. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0) +[2026-06-06 18:36:10,513][186392] Avg episode reward: [(0, '6481.800')] +[2026-06-06 18:36:10,520][187720] Saving new best policy, reward=6481.800! +[2026-06-06 18:36:11,830][187799] Updated weights for policy 0, policy_version 24672 (0.0015) +[2026-06-06 18:36:15,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 6997.9). Total num frames: 12648448. Throughput: 0: 7441.1. Samples: 12656640. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0) +[2026-06-06 18:36:15,513][186392] Avg episode reward: [(0, '6216.900')] +[2026-06-06 18:36:16,417][187799] Updated weights for policy 0, policy_version 24752 (0.0021) +[2026-06-06 18:36:20,510][186392] Fps is (10 sec: 8192.1, 60 sec: 7372.8, 300 sec: 7053.5). Total num frames: 12697600. Throughput: 0: 7486.6. Samples: 12702720. Policy #0 lag: (min: 6.0, avg: 8.8, max: 70.0) +[2026-06-06 18:36:20,512][186392] Avg episode reward: [(0, '6443.900')] +[2026-06-06 18:36:20,887][187799] Updated weights for policy 0, policy_version 24829 (0.0017) +[2026-06-06 18:36:25,511][186392] Fps is (10 sec: 9830.1, 60 sec: 7645.8, 300 sec: 7109.0). Total num frames: 12746752. Throughput: 0: 7441.1. Samples: 12746752. Policy #0 lag: (min: 10.0, avg: 12.9, max: 74.0) +[2026-06-06 18:36:25,514][186392] Avg episode reward: [(0, '6284.800')] +[2026-06-06 18:36:29,771][187799] Updated weights for policy 0, policy_version 24944 (0.0018) +[2026-06-06 18:36:30,510][186392] Fps is (10 sec: 8192.0, 60 sec: 7645.9, 300 sec: 7109.0). Total num frames: 12779520. Throughput: 0: 7429.7. Samples: 12767232. Policy #0 lag: (min: 10.0, avg: 12.9, max: 74.0) +[2026-06-06 18:36:30,512][186392] Avg episode reward: [(0, '6274.200')] +[2026-06-06 18:36:34,750][187799] Updated weights for policy 0, policy_version 25018 (0.0018) +[2026-06-06 18:36:35,511][186392] Fps is (10 sec: 6553.6, 60 sec: 7645.8, 300 sec: 7109.0). Total num frames: 12812288. Throughput: 0: 7395.5. Samples: 12810752. Policy #0 lag: (min: 10.0, avg: 12.9, max: 74.0) +[2026-06-06 18:36:35,513][186392] Avg episode reward: [(0, '6178.200')] +[2026-06-06 18:36:40,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7645.9, 300 sec: 7109.0). Total num frames: 12845056. Throughput: 0: 7293.1. Samples: 12850176. Policy #0 lag: (min: 10.0, avg: 12.9, max: 74.0) +[2026-06-06 18:36:40,512][186392] Avg episode reward: [(0, '6170.000')] +[2026-06-06 18:36:43,710][187799] Updated weights for policy 0, policy_version 25120 (0.0020) +[2026-06-06 18:36:45,511][186392] Fps is (10 sec: 6553.6, 60 sec: 7509.3, 300 sec: 7109.0). Total num frames: 12877824. Throughput: 0: 7304.5. Samples: 12873216. Policy #0 lag: (min: 0.0, avg: 2.7, max: 64.0) +[2026-06-06 18:36:45,513][186392] Avg episode reward: [(0, '6250.800')] +[2026-06-06 18:36:48,608][187799] Updated weights for policy 0, policy_version 25208 (0.0018) +[2026-06-06 18:36:50,511][186392] Fps is (10 sec: 6553.4, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 12910592. Throughput: 0: 7236.2. Samples: 12914176. Policy #0 lag: (min: 0.0, avg: 2.7, max: 64.0) +[2026-06-06 18:36:50,513][186392] Avg episode reward: [(0, '6353.050')] +[2026-06-06 18:36:53,773][187799] Updated weights for policy 0, policy_version 25280 (0.0020) +[2026-06-06 18:36:55,510][186392] Fps is (10 sec: 6554.0, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 12943360. Throughput: 0: 7077.0. Samples: 12954624. Policy #0 lag: (min: 0.0, avg: 2.7, max: 64.0) +[2026-06-06 18:36:55,511][186392] Avg episode reward: [(0, '6396.500')] +[2026-06-06 18:37:00,510][186392] Fps is (10 sec: 6553.9, 60 sec: 7099.8, 300 sec: 7053.5). Total num frames: 12976128. Throughput: 0: 7122.5. Samples: 12977152. Policy #0 lag: (min: 0.0, avg: 2.7, max: 64.0) +[2026-06-06 18:37:00,512][186392] Avg episode reward: [(0, '6524.600')] +[2026-06-06 18:37:00,524][187720] Saving new best policy, reward=6524.600! +[2026-06-06 18:37:02,557][187799] Updated weights for policy 0, policy_version 25360 (0.0017) +[2026-06-06 18:37:05,511][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7053.5). Total num frames: 13008896. Throughput: 0: 6986.0. Samples: 13017088. Policy #0 lag: (min: 9.0, avg: 13.3, max: 73.0) +[2026-06-06 18:37:05,512][186392] Avg episode reward: [(0, '6451.600')] +[2026-06-06 18:37:07,457][187799] Updated weights for policy 0, policy_version 25459 (0.0014) +[2026-06-06 18:37:10,511][186392] Fps is (10 sec: 6553.4, 60 sec: 7099.7, 300 sec: 7025.7). Total num frames: 13041664. Throughput: 0: 6986.0. Samples: 13061120. Policy #0 lag: (min: 9.0, avg: 13.3, max: 73.0) +[2026-06-06 18:37:10,512][186392] Avg episode reward: [(0, '6557.250')] +[2026-06-06 18:37:10,518][187720] Saving new best policy, reward=6557.250! +[2026-06-06 18:37:12,235][187799] Updated weights for policy 0, policy_version 25535 (0.0016) +[2026-06-06 18:37:15,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7025.7). Total num frames: 13074432. Throughput: 0: 6986.0. Samples: 13081600. Policy #0 lag: (min: 9.0, avg: 13.3, max: 73.0) +[2026-06-06 18:37:15,512][186392] Avg episode reward: [(0, '6814.250')] +[2026-06-06 18:37:15,516][187720] Saving new best policy, reward=6814.250! +[2026-06-06 18:37:20,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6826.7, 300 sec: 6997.9). Total num frames: 13107200. Throughput: 0: 6997.4. Samples: 13125632. Policy #0 lag: (min: 9.0, avg: 13.3, max: 73.0) +[2026-06-06 18:37:20,512][186392] Avg episode reward: [(0, '6930.600')] +[2026-06-06 18:37:20,517][187720] Saving new best policy, reward=6930.600! +[2026-06-06 18:37:20,618][187720] Signal inference workers to stop experience collection... (1200 times) +[2026-06-06 18:37:20,648][187799] InferenceWorker_p0-w0: stopping experience collection (1200 times) +[2026-06-06 18:37:20,780][187720] Signal inference workers to resume experience collection... (1200 times) +[2026-06-06 18:37:20,781][187799] InferenceWorker_p0-w0: resuming experience collection (1200 times) +[2026-06-06 18:37:20,933][187799] Updated weights for policy 0, policy_version 25632 (0.0018) +[2026-06-06 18:37:25,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6997.9). Total num frames: 13139968. Throughput: 0: 7065.6. Samples: 13168128. Policy #0 lag: (min: 10.0, avg: 12.8, max: 74.0) +[2026-06-06 18:37:25,512][186392] Avg episode reward: [(0, '6882.450')] +[2026-06-06 18:37:25,874][187799] Updated weights for policy 0, policy_version 25714 (0.0018) +[2026-06-06 18:37:30,510][186392] Fps is (10 sec: 9830.4, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 13205504. Throughput: 0: 7031.5. Samples: 13189632. Policy #0 lag: (min: 10.0, avg: 12.8, max: 74.0) +[2026-06-06 18:37:30,512][186392] Avg episode reward: [(0, '6893.050')] +[2026-06-06 18:37:34,524][187799] Updated weights for policy 0, policy_version 25824 (0.0020) +[2026-06-06 18:37:35,510][186392] Fps is (10 sec: 9830.3, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 13238272. Throughput: 0: 7111.2. Samples: 13234176. Policy #0 lag: (min: 10.0, avg: 12.8, max: 74.0) +[2026-06-06 18:37:35,512][186392] Avg episode reward: [(0, '6935.550')] +[2026-06-06 18:37:35,518][187720] Saving new best policy, reward=6935.550! +[2026-06-06 18:37:39,413][187799] Updated weights for policy 0, policy_version 25920 (0.0018) +[2026-06-06 18:37:40,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 13271040. Throughput: 0: 7168.0. Samples: 13277184. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:37:40,513][186392] Avg episode reward: [(0, '7059.100')] +[2026-06-06 18:37:40,517][187720] Saving new best policy, reward=7059.100! +[2026-06-06 18:37:45,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 13303808. Throughput: 0: 7168.0. Samples: 13299712. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:37:45,512][186392] Avg episode reward: [(0, '7073.900')] +[2026-06-06 18:37:45,517][187720] Saving new best policy, reward=7073.900! +[2026-06-06 18:37:48,186][187799] Updated weights for policy 0, policy_version 26016 (0.0020) +[2026-06-06 18:37:50,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 13336576. Throughput: 0: 7168.0. Samples: 13339648. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:37:50,512][186392] Avg episode reward: [(0, '6993.400')] +[2026-06-06 18:37:53,417][187799] Updated weights for policy 0, policy_version 26106 (0.0018) +[2026-06-06 18:37:55,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 13369344. Throughput: 0: 7145.3. Samples: 13382656. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:37:55,513][186392] Avg episode reward: [(0, '6791.800')] +[2026-06-06 18:38:00,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 13402112. Throughput: 0: 7133.9. Samples: 13402624. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 18:38:00,512][186392] Avg episode reward: [(0, '6725.700')] +[2026-06-06 18:38:02,482][187799] Updated weights for policy 0, policy_version 26210 (0.0017) +[2026-06-06 18:38:05,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 13434880. Throughput: 0: 7099.7. Samples: 13445120. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 18:38:05,512][186392] Avg episode reward: [(0, '6671.250')] +[2026-06-06 18:38:07,114][187799] Updated weights for policy 0, policy_version 26291 (0.0017) +[2026-06-06 18:38:10,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 13467648. Throughput: 0: 7179.4. Samples: 13491200. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 18:38:10,512][186392] Avg episode reward: [(0, '6717.900')] +[2026-06-06 18:38:11,730][187799] Updated weights for policy 0, policy_version 26368 (0.0014) +[2026-06-06 18:38:15,510][186392] Fps is (10 sec: 7372.9, 60 sec: 7236.3, 300 sec: 7136.8). Total num frames: 13508608. Throughput: 0: 7168.0. Samples: 13512192. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-06 18:38:15,513][186392] Avg episode reward: [(0, '6699.300')] +[2026-06-06 18:38:20,344][187799] Updated weights for policy 0, policy_version 26464 (0.0020) +[2026-06-06 18:38:20,511][186392] Fps is (10 sec: 9011.2, 60 sec: 7509.3, 300 sec: 7192.3). Total num frames: 13557760. Throughput: 0: 7156.6. Samples: 13556224. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-06 18:38:20,513][186392] Avg episode reward: [(0, '6633.700')] +[2026-06-06 18:38:25,162][187799] Updated weights for policy 0, policy_version 26551 (0.0016) +[2026-06-06 18:38:25,511][186392] Fps is (10 sec: 9011.0, 60 sec: 7645.8, 300 sec: 7220.1). Total num frames: 13598720. Throughput: 0: 7156.6. Samples: 13599232. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-06 18:38:25,512][186392] Avg episode reward: [(0, '6731.450')] +[2026-06-06 18:38:29,902][187799] Updated weights for policy 0, policy_version 26624 (0.0018) +[2026-06-06 18:38:30,510][186392] Fps is (10 sec: 7372.9, 60 sec: 7099.7, 300 sec: 7220.1). Total num frames: 13631488. Throughput: 0: 7156.6. Samples: 13621760. Policy #0 lag: (min: 3.0, avg: 5.8, max: 67.0) +[2026-06-06 18:38:30,511][186392] Avg episode reward: [(0, '6780.800')] +[2026-06-06 18:38:33,767][187720] Signal inference workers to stop experience collection... (1250 times) +[2026-06-06 18:38:33,803][187799] InferenceWorker_p0-w0: stopping experience collection (1250 times) +[2026-06-06 18:38:33,981][187720] Signal inference workers to resume experience collection... (1250 times) +[2026-06-06 18:38:33,983][187799] InferenceWorker_p0-w0: resuming experience collection (1250 times) +[2026-06-06 18:38:35,511][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 7164.5). Total num frames: 13664256. Throughput: 0: 7236.2. Samples: 13665280. Policy #0 lag: (min: 10.0, avg: 12.9, max: 74.0) +[2026-06-06 18:38:35,512][186392] Avg episode reward: [(0, '6965.750')] +[2026-06-06 18:38:38,761][187799] Updated weights for policy 0, policy_version 26736 (0.0023) +[2026-06-06 18:38:40,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.8, 300 sec: 7136.8). Total num frames: 13697024. Throughput: 0: 7156.7. Samples: 13704704. Policy #0 lag: (min: 10.0, avg: 12.9, max: 74.0) +[2026-06-06 18:38:40,511][186392] Avg episode reward: [(0, '6995.700')] +[2026-06-06 18:38:45,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 13729792. Throughput: 0: 7202.1. Samples: 13726720. Policy #0 lag: (min: 10.0, avg: 12.9, max: 74.0) +[2026-06-06 18:38:45,513][186392] Avg episode reward: [(0, '6953.100')] +[2026-06-06 18:38:48,299][187799] Updated weights for policy 0, policy_version 26832 (0.0017) +[2026-06-06 18:38:50,511][186392] Fps is (10 sec: 6553.4, 60 sec: 7099.7, 300 sec: 7136.8). Total num frames: 13762560. Throughput: 0: 7099.7. Samples: 13764608. Policy #0 lag: (min: 10.0, avg: 12.9, max: 74.0) +[2026-06-06 18:38:50,512][186392] Avg episode reward: [(0, '7135.050')] +[2026-06-06 18:38:50,517][187720] Saving new best policy, reward=7135.050! +[2026-06-06 18:38:53,393][187799] Updated weights for policy 0, policy_version 26932 (0.0021) +[2026-06-06 18:38:55,511][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 13795328. Throughput: 0: 7008.7. Samples: 13806592. Policy #0 lag: (min: 7.0, avg: 9.9, max: 71.0) +[2026-06-06 18:38:55,512][186392] Avg episode reward: [(0, '7121.900')] +[2026-06-06 18:39:00,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 13828096. Throughput: 0: 7042.9. Samples: 13829120. Policy #0 lag: (min: 7.0, avg: 9.9, max: 71.0) +[2026-06-06 18:39:00,511][186392] Avg episode reward: [(0, '7088.150')] +[2026-06-06 18:39:02,142][187799] Updated weights for policy 0, policy_version 27024 (0.0015) +[2026-06-06 18:39:05,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 13860864. Throughput: 0: 7020.1. Samples: 13872128. Policy #0 lag: (min: 7.0, avg: 9.9, max: 71.0) +[2026-06-06 18:39:05,512][186392] Avg episode reward: [(0, '7155.850')] +[2026-06-06 18:39:05,517][187720] Saving new best policy, reward=7155.850! +[2026-06-06 18:39:07,178][187799] Updated weights for policy 0, policy_version 27132 (0.0018) +[2026-06-06 18:39:10,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 13893632. Throughput: 0: 7020.2. Samples: 13915136. Policy #0 lag: (min: 7.0, avg: 9.9, max: 71.0) +[2026-06-06 18:39:10,511][186392] Avg episode reward: [(0, '7011.800')] +[2026-06-06 18:39:15,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6963.2, 300 sec: 7109.0). Total num frames: 13926400. Throughput: 0: 6963.2. Samples: 13935104. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:39:15,511][186392] Avg episode reward: [(0, '7030.350')] +[2026-06-06 18:39:16,164][187799] Updated weights for policy 0, policy_version 27232 (0.0016) +[2026-06-06 18:39:20,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6690.1, 300 sec: 7109.0). Total num frames: 13959168. Throughput: 0: 6951.9. Samples: 13978112. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:39:20,512][186392] Avg episode reward: [(0, '7112.450')] +[2026-06-06 18:39:21,121][187799] Updated weights for policy 0, policy_version 27318 (0.0019) +[2026-06-06 18:39:25,511][186392] Fps is (10 sec: 7372.2, 60 sec: 6690.1, 300 sec: 7136.7). Total num frames: 14000128. Throughput: 0: 7031.3. Samples: 14021120. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:39:25,513][186392] Avg episode reward: [(0, '7112.150')] +[2026-06-06 18:39:26,115][187799] Updated weights for policy 0, policy_version 27392 (0.0017) +[2026-06-06 18:39:30,511][186392] Fps is (10 sec: 8191.7, 60 sec: 6826.6, 300 sec: 7164.5). Total num frames: 14041088. Throughput: 0: 6997.3. Samples: 14041600. Policy #0 lag: (min: 11.0, avg: 13.9, max: 75.0) +[2026-06-06 18:39:30,512][186392] Avg episode reward: [(0, '7087.450')] +[2026-06-06 18:39:34,886][187799] Updated weights for policy 0, policy_version 27472 (0.0015) +[2026-06-06 18:39:35,510][186392] Fps is (10 sec: 8192.7, 60 sec: 6963.2, 300 sec: 7192.3). Total num frames: 14082048. Throughput: 0: 7088.4. Samples: 14083584. Policy #0 lag: (min: 11.0, avg: 13.9, max: 75.0) +[2026-06-06 18:39:35,511][186392] Avg episode reward: [(0, '7170.950')] +[2026-06-06 18:39:35,521][187720] Saving new best policy, reward=7170.950! +[2026-06-06 18:39:40,036][187799] Updated weights for policy 0, policy_version 27571 (0.0014) +[2026-06-06 18:39:40,510][186392] Fps is (10 sec: 8192.3, 60 sec: 7099.7, 300 sec: 7220.1). Total num frames: 14123008. Throughput: 0: 7054.3. Samples: 14124032. Policy #0 lag: (min: 11.0, avg: 13.9, max: 75.0) +[2026-06-06 18:39:40,511][186392] Avg episode reward: [(0, '7119.700')] +[2026-06-06 18:39:45,510][186392] Fps is (10 sec: 7372.8, 60 sec: 7099.8, 300 sec: 7220.1). Total num frames: 14155776. Throughput: 0: 6997.3. Samples: 14144000. Policy #0 lag: (min: 11.0, avg: 13.9, max: 75.0) +[2026-06-06 18:39:45,511][186392] Avg episode reward: [(0, '7197.700')] +[2026-06-06 18:39:45,516][187720] Saving new best policy, reward=7197.700! +[2026-06-06 18:39:49,297][187799] Updated weights for policy 0, policy_version 27680 (0.0018) +[2026-06-06 18:39:50,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7220.1). Total num frames: 14188544. Throughput: 0: 7020.1. Samples: 14188032. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:39:50,513][186392] Avg episode reward: [(0, '7201.300')] +[2026-06-06 18:39:50,517][187720] Saving new best policy, reward=7201.300! +[2026-06-06 18:39:53,843][187720] Signal inference workers to stop experience collection... (1300 times) +[2026-06-06 18:39:53,876][187799] InferenceWorker_p0-w0: stopping experience collection (1300 times) +[2026-06-06 18:39:54,016][187720] Signal inference workers to resume experience collection... (1300 times) +[2026-06-06 18:39:54,016][187799] InferenceWorker_p0-w0: resuming experience collection (1300 times) +[2026-06-06 18:39:54,381][187799] Updated weights for policy 0, policy_version 27770 (0.0015) +[2026-06-06 18:39:55,511][186392] Fps is (10 sec: 6553.4, 60 sec: 7099.7, 300 sec: 7220.1). Total num frames: 14221312. Throughput: 0: 6929.0. Samples: 14226944. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:39:55,512][186392] Avg episode reward: [(0, '7225.700')] +[2026-06-06 18:39:55,517][187720] Saving new best policy, reward=7225.700! +[2026-06-06 18:40:00,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7136.8). Total num frames: 14254080. Throughput: 0: 6974.6. Samples: 14248960. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:40:00,511][186392] Avg episode reward: [(0, '7268.550')] +[2026-06-06 18:40:00,517][187720] Saving new best policy, reward=7268.550! +[2026-06-06 18:40:03,445][187799] Updated weights for policy 0, policy_version 27856 (0.0016) +[2026-06-06 18:40:05,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 14286848. Throughput: 0: 6906.3. Samples: 14288896. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:40:05,512][186392] Avg episode reward: [(0, '7211.750')] +[2026-06-06 18:40:08,524][187799] Updated weights for policy 0, policy_version 27957 (0.0013) +[2026-06-06 18:40:10,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 14319616. Throughput: 0: 6872.3. Samples: 14330368. Policy #0 lag: (min: 13.0, avg: 16.7, max: 77.0) +[2026-06-06 18:40:10,512][186392] Avg episode reward: [(0, '7216.600')] +[2026-06-06 18:40:15,510][186392] Fps is (10 sec: 6553.9, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 14352384. Throughput: 0: 6917.8. Samples: 14352896. Policy #0 lag: (min: 13.0, avg: 16.7, max: 77.0) +[2026-06-06 18:40:15,511][186392] Avg episode reward: [(0, '7193.700')] +[2026-06-06 18:40:17,214][187799] Updated weights for policy 0, policy_version 28048 (0.0015) +[2026-06-06 18:40:20,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 14385152. Throughput: 0: 6951.8. Samples: 14396416. Policy #0 lag: (min: 13.0, avg: 16.7, max: 77.0) +[2026-06-06 18:40:20,512][186392] Avg episode reward: [(0, '7268.950')] +[2026-06-06 18:40:20,519][187720] Saving new best policy, reward=7268.950! +[2026-06-06 18:40:22,111][187799] Updated weights for policy 0, policy_version 28128 (0.0019) +[2026-06-06 18:40:25,510][186392] Fps is (10 sec: 6553.4, 60 sec: 6963.3, 300 sec: 7109.0). Total num frames: 14417920. Throughput: 0: 6974.6. Samples: 14437888. Policy #0 lag: (min: 13.0, avg: 16.7, max: 77.0) +[2026-06-06 18:40:25,512][186392] Avg episode reward: [(0, '7380.000')] +[2026-06-06 18:40:25,517][187720] Saving new best policy, reward=7380.000! +[2026-06-06 18:40:27,330][187799] Updated weights for policy 0, policy_version 28222 (0.0018) +[2026-06-06 18:40:30,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6826.7, 300 sec: 7109.0). Total num frames: 14450688. Throughput: 0: 6940.4. Samples: 14456320. Policy #0 lag: (min: 9.0, avg: 11.8, max: 73.0) +[2026-06-06 18:40:30,513][186392] Avg episode reward: [(0, '7348.150')] +[2026-06-06 18:40:35,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6690.1, 300 sec: 7109.0). Total num frames: 14483456. Throughput: 0: 6929.0. Samples: 14499840. Policy #0 lag: (min: 9.0, avg: 11.8, max: 73.0) +[2026-06-06 18:40:35,512][186392] Avg episode reward: [(0, '7482.650')] +[2026-06-06 18:40:35,517][187720] Saving new best policy, reward=7482.650! +[2026-06-06 18:40:36,320][187799] Updated weights for policy 0, policy_version 28322 (0.0017) +[2026-06-06 18:40:40,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6553.6, 300 sec: 7081.2). Total num frames: 14516224. Throughput: 0: 7020.1. Samples: 14542848. Policy #0 lag: (min: 9.0, avg: 11.8, max: 73.0) +[2026-06-06 18:40:40,512][186392] Avg episode reward: [(0, '7269.550')] +[2026-06-06 18:40:41,345][187799] Updated weights for policy 0, policy_version 28409 (0.0020) +[2026-06-06 18:40:45,511][186392] Fps is (10 sec: 7372.9, 60 sec: 6690.1, 300 sec: 7025.7). Total num frames: 14557184. Throughput: 0: 6974.6. Samples: 14562816. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-06 18:40:45,512][186392] Avg episode reward: [(0, '7228.700')] +[2026-06-06 18:40:46,160][187799] Updated weights for policy 0, policy_version 28480 (0.0017) +[2026-06-06 18:40:50,510][186392] Fps is (10 sec: 9011.5, 60 sec: 6963.2, 300 sec: 7081.2). Total num frames: 14606336. Throughput: 0: 7065.7. Samples: 14606848. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-06 18:40:50,513][186392] Avg episode reward: [(0, '7281.800')] +[2026-06-06 18:40:54,953][187799] Updated weights for policy 0, policy_version 28592 (0.0018) +[2026-06-06 18:40:55,511][186392] Fps is (10 sec: 9011.1, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 14647296. Throughput: 0: 7065.6. Samples: 14648320. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-06 18:40:55,512][186392] Avg episode reward: [(0, '7269.500')] +[2026-06-06 18:40:59,735][187799] Updated weights for policy 0, policy_version 28666 (0.0020) +[2026-06-06 18:41:00,510][186392] Fps is (10 sec: 7372.9, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 14680064. Throughput: 0: 7031.5. Samples: 14669312. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-06 18:41:00,511][186392] Avg episode reward: [(0, '7261.750')] +[2026-06-06 18:41:05,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 14712832. Throughput: 0: 7042.9. Samples: 14713344. Policy #0 lag: (min: 57.0, avg: 59.8, max: 121.0) +[2026-06-06 18:41:05,511][186392] Avg episode reward: [(0, '7269.300')] +[2026-06-06 18:41:08,996][187799] Updated weights for policy 0, policy_version 28784 (0.0017) +[2026-06-06 18:41:10,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 14745600. Throughput: 0: 6986.0. Samples: 14752256. Policy #0 lag: (min: 57.0, avg: 59.8, max: 121.0) +[2026-06-06 18:41:10,512][186392] Avg episode reward: [(0, '7387.750')] +[2026-06-06 18:41:13,079][187720] Signal inference workers to stop experience collection... (1350 times) +[2026-06-06 18:41:13,108][187799] InferenceWorker_p0-w0: stopping experience collection (1350 times) +[2026-06-06 18:41:13,232][187720] Signal inference workers to resume experience collection... (1350 times) +[2026-06-06 18:41:13,233][187799] InferenceWorker_p0-w0: resuming experience collection (1350 times) +[2026-06-06 18:41:13,830][187799] Updated weights for policy 0, policy_version 28863 (0.0019) +[2026-06-06 18:41:15,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7053.5). Total num frames: 14778368. Throughput: 0: 7088.4. Samples: 14775296. Policy #0 lag: (min: 57.0, avg: 59.8, max: 121.0) +[2026-06-06 18:41:15,512][186392] Avg episode reward: [(0, '7388.200')] +[2026-06-06 18:41:20,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6997.9). Total num frames: 14811136. Throughput: 0: 7042.9. Samples: 14816768. Policy #0 lag: (min: 57.0, avg: 59.8, max: 121.0) +[2026-06-06 18:41:20,511][186392] Avg episode reward: [(0, '7333.850')] +[2026-06-06 18:41:22,270][187799] Updated weights for policy 0, policy_version 28929 (0.0015) +[2026-06-06 18:41:25,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6997.9). Total num frames: 14843904. Throughput: 0: 7054.3. Samples: 14860288. Policy #0 lag: (min: 57.0, avg: 59.8, max: 121.0) +[2026-06-06 18:41:25,512][186392] Avg episode reward: [(0, '7372.950')] +[2026-06-06 18:41:27,574][187799] Updated weights for policy 0, policy_version 29040 (0.0017) +[2026-06-06 18:41:30,511][186392] Fps is (10 sec: 6553.4, 60 sec: 7099.7, 300 sec: 6997.9). Total num frames: 14876672. Throughput: 0: 7042.8. Samples: 14879744. Policy #0 lag: (min: 8.0, avg: 11.9, max: 72.0) +[2026-06-06 18:41:30,512][186392] Avg episode reward: [(0, '7362.800')] +[2026-06-06 18:41:32,383][187799] Updated weights for policy 0, policy_version 29114 (0.0016) +[2026-06-06 18:41:35,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.8, 300 sec: 6997.9). Total num frames: 14909440. Throughput: 0: 7008.7. Samples: 14922240. Policy #0 lag: (min: 8.0, avg: 11.9, max: 72.0) +[2026-06-06 18:41:35,511][186392] Avg episode reward: [(0, '7483.000')] +[2026-06-06 18:41:35,516][187720] Saving new best policy, reward=7483.000! +[2026-06-06 18:41:40,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.8, 300 sec: 6997.9). Total num frames: 14942208. Throughput: 0: 7077.0. Samples: 14966784. Policy #0 lag: (min: 8.0, avg: 11.9, max: 72.0) +[2026-06-06 18:41:40,511][186392] Avg episode reward: [(0, '7561.600')] +[2026-06-06 18:41:40,515][187720] Saving new best policy, reward=7561.600! +[2026-06-06 18:41:40,850][187799] Updated weights for policy 0, policy_version 29200 (0.0021) +[2026-06-06 18:41:45,510][186392] Fps is (10 sec: 9011.2, 60 sec: 7372.8, 300 sec: 7081.2). Total num frames: 14999552. Throughput: 0: 7111.1. Samples: 14989312. Policy #0 lag: (min: 8.0, avg: 11.9, max: 72.0) +[2026-06-06 18:41:45,512][186392] Avg episode reward: [(0, '7611.300')] +[2026-06-06 18:41:45,562][187799] Updated weights for policy 0, policy_version 29301 (0.0016) +[2026-06-06 18:41:45,728][187720] Saving new best policy, reward=7611.300! +[2026-06-06 18:41:50,155][187799] Updated weights for policy 0, policy_version 29376 (0.0018) +[2026-06-06 18:41:50,510][186392] Fps is (10 sec: 9830.4, 60 sec: 7236.3, 300 sec: 7109.0). Total num frames: 15040512. Throughput: 0: 7156.6. Samples: 15035392. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-06 18:41:50,512][186392] Avg episode reward: [(0, '7573.650')] +[2026-06-06 18:41:55,510][186392] Fps is (10 sec: 7372.9, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 15073280. Throughput: 0: 7281.8. Samples: 15079936. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-06 18:41:55,511][186392] Avg episode reward: [(0, '7595.450')] +[2026-06-06 18:41:58,750][187799] Updated weights for policy 0, policy_version 29472 (0.0016) +[2026-06-06 18:42:00,511][186392] Fps is (10 sec: 6553.4, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 15106048. Throughput: 0: 7236.2. Samples: 15100928. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-06 18:42:00,514][186392] Avg episode reward: [(0, '7694.950')] +[2026-06-06 18:42:00,519][187720] Saving new best policy, reward=7694.950! +[2026-06-06 18:42:03,373][187799] Updated weights for policy 0, policy_version 29555 (0.0016) +[2026-06-06 18:42:05,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 15138816. Throughput: 0: 7270.4. Samples: 15143936. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-06 18:42:05,511][186392] Avg episode reward: [(0, '7819.150')] +[2026-06-06 18:42:05,515][187720] Saving new best policy, reward=7819.150! +[2026-06-06 18:42:10,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 15171584. Throughput: 0: 7270.4. Samples: 15187456. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-06 18:42:10,511][186392] Avg episode reward: [(0, '7916.000')] +[2026-06-06 18:42:10,514][187720] Saving new best policy, reward=7916.000! +[2026-06-06 18:42:12,197][187799] Updated weights for policy 0, policy_version 29664 (0.0017) +[2026-06-06 18:42:15,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 15204352. Throughput: 0: 7316.0. Samples: 15208960. Policy #0 lag: (min: 8.0, avg: 10.7, max: 72.0) +[2026-06-06 18:42:15,511][186392] Avg episode reward: [(0, '8097.650')] +[2026-06-06 18:42:15,517][187720] Saving new best policy, reward=8097.650! +[2026-06-06 18:42:17,099][187799] Updated weights for policy 0, policy_version 29760 (0.0018) +[2026-06-06 18:42:20,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 15237120. Throughput: 0: 7350.0. Samples: 15252992. Policy #0 lag: (min: 8.0, avg: 10.7, max: 72.0) +[2026-06-06 18:42:20,512][186392] Avg episode reward: [(0, '8023.050')] +[2026-06-06 18:42:25,511][186392] Fps is (10 sec: 6553.4, 60 sec: 7099.7, 300 sec: 6997.9). Total num frames: 15269888. Throughput: 0: 7372.8. Samples: 15298560. Policy #0 lag: (min: 8.0, avg: 10.7, max: 72.0) +[2026-06-06 18:42:25,513][186392] Avg episode reward: [(0, '8069.200')] +[2026-06-06 18:42:25,726][187720] Signal inference workers to stop experience collection... (1400 times) +[2026-06-06 18:42:25,761][187799] InferenceWorker_p0-w0: stopping experience collection (1400 times) +[2026-06-06 18:42:25,862][187720] Signal inference workers to resume experience collection... (1400 times) +[2026-06-06 18:42:25,863][187799] InferenceWorker_p0-w0: resuming experience collection (1400 times) +[2026-06-06 18:42:25,866][187799] Updated weights for policy 0, policy_version 29872 (0.0019) +[2026-06-06 18:42:30,511][186392] Fps is (10 sec: 9011.0, 60 sec: 7509.3, 300 sec: 7081.2). Total num frames: 15327232. Throughput: 0: 7315.9. Samples: 15318528. Policy #0 lag: (min: 8.0, avg: 10.7, max: 72.0) +[2026-06-06 18:42:30,514][186392] Avg episode reward: [(0, '8139.250')] +[2026-06-06 18:42:30,520][187720] Saving new best policy, reward=8139.250! +[2026-06-06 18:42:30,524][187799] Updated weights for policy 0, policy_version 29952 (0.0015) +[2026-06-06 18:42:35,511][186392] Fps is (10 sec: 9830.4, 60 sec: 7645.8, 300 sec: 7109.0). Total num frames: 15368192. Throughput: 0: 7281.7. Samples: 15363072. Policy #0 lag: (min: 10.0, avg: 12.9, max: 74.0) +[2026-06-06 18:42:35,512][186392] Avg episode reward: [(0, '8099.000')] +[2026-06-06 18:42:39,538][187799] Updated weights for policy 0, policy_version 30064 (0.0015) +[2026-06-06 18:42:40,510][186392] Fps is (10 sec: 7373.0, 60 sec: 7645.9, 300 sec: 7109.0). Total num frames: 15400960. Throughput: 0: 7190.7. Samples: 15403520. Policy #0 lag: (min: 10.0, avg: 12.9, max: 74.0) +[2026-06-06 18:42:40,512][186392] Avg episode reward: [(0, '7942.750')] +[2026-06-06 18:42:45,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7236.3, 300 sec: 7109.0). Total num frames: 15433728. Throughput: 0: 7202.2. Samples: 15425024. Policy #0 lag: (min: 10.0, avg: 12.9, max: 74.0) +[2026-06-06 18:42:45,511][186392] Avg episode reward: [(0, '8011.350')] +[2026-06-06 18:42:48,820][187799] Updated weights for policy 0, policy_version 30160 (0.0022) +[2026-06-06 18:42:50,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 15466496. Throughput: 0: 7179.4. Samples: 15467008. Policy #0 lag: (min: 10.0, avg: 12.9, max: 74.0) +[2026-06-06 18:42:50,512][186392] Avg episode reward: [(0, '7917.150')] +[2026-06-06 18:42:53,872][187799] Updated weights for policy 0, policy_version 30256 (0.0018) +[2026-06-06 18:42:55,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 15499264. Throughput: 0: 7088.4. Samples: 15506432. Policy #0 lag: (min: 10.0, avg: 12.9, max: 74.0) +[2026-06-06 18:42:55,512][186392] Avg episode reward: [(0, '7979.200')] +[2026-06-06 18:42:59,057][187799] Updated weights for policy 0, policy_version 30327 (0.0019) +[2026-06-06 18:43:00,511][186392] Fps is (10 sec: 6553.4, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 15532032. Throughput: 0: 7088.3. Samples: 15527936. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-06 18:43:00,512][186392] Avg episode reward: [(0, '7895.800')] +[2026-06-06 18:43:04,019][187799] Updated weights for policy 0, policy_version 30400 (0.0015) +[2026-06-06 18:43:05,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 15564800. Throughput: 0: 6986.0. Samples: 15567360. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-06 18:43:05,511][186392] Avg episode reward: [(0, '7840.250')] +[2026-06-06 18:43:10,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.7, 300 sec: 7081.2). Total num frames: 15597568. Throughput: 0: 6849.5. Samples: 15606784. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-06 18:43:10,512][186392] Avg episode reward: [(0, '7748.500')] +[2026-06-06 18:43:13,306][187799] Updated weights for policy 0, policy_version 30512 (0.0017) +[2026-06-06 18:43:15,511][186392] Fps is (10 sec: 6553.2, 60 sec: 7099.7, 300 sec: 7025.7). Total num frames: 15630336. Throughput: 0: 6917.7. Samples: 15629824. Policy #0 lag: (min: 15.0, avg: 18.8, max: 79.0) +[2026-06-06 18:43:15,514][186392] Avg episode reward: [(0, '7913.350')] +[2026-06-06 18:43:18,846][187799] Updated weights for policy 0, policy_version 30592 (0.0021) +[2026-06-06 18:43:20,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6997.9). Total num frames: 15663104. Throughput: 0: 6735.7. Samples: 15666176. Policy #0 lag: (min: 23.0, avg: 25.8, max: 87.0) +[2026-06-06 18:43:20,512][186392] Avg episode reward: [(0, '8013.700')] +[2026-06-06 18:43:25,510][186392] Fps is (10 sec: 6554.0, 60 sec: 7099.8, 300 sec: 6997.9). Total num frames: 15695872. Throughput: 0: 6781.2. Samples: 15708672. Policy #0 lag: (min: 23.0, avg: 25.8, max: 87.0) +[2026-06-06 18:43:25,511][186392] Avg episode reward: [(0, '8169.650')] +[2026-06-06 18:43:25,516][187720] Saving new best policy, reward=8169.650! +[2026-06-06 18:43:27,827][187799] Updated weights for policy 0, policy_version 30688 (0.0015) +[2026-06-06 18:43:30,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6690.2, 300 sec: 6997.9). Total num frames: 15728640. Throughput: 0: 6758.4. Samples: 15729152. Policy #0 lag: (min: 23.0, avg: 25.8, max: 87.0) +[2026-06-06 18:43:30,511][186392] Avg episode reward: [(0, '8090.350')] +[2026-06-06 18:43:32,789][187799] Updated weights for policy 0, policy_version 30770 (0.0017) +[2026-06-06 18:43:35,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6553.6, 300 sec: 6997.9). Total num frames: 15761408. Throughput: 0: 6747.0. Samples: 15770624. Policy #0 lag: (min: 23.0, avg: 25.8, max: 87.0) +[2026-06-06 18:43:35,512][186392] Avg episode reward: [(0, '8279.250')] +[2026-06-06 18:43:35,518][187720] Saving new best policy, reward=8279.250! +[2026-06-06 18:43:40,511][186392] Fps is (10 sec: 6553.3, 60 sec: 6553.6, 300 sec: 6997.9). Total num frames: 15794176. Throughput: 0: 6838.0. Samples: 15814144. Policy #0 lag: (min: 23.0, avg: 25.8, max: 87.0) +[2026-06-06 18:43:40,513][186392] Avg episode reward: [(0, '8241.250')] +[2026-06-06 18:43:40,519][187720] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride7_seed12/checkpoint_p0/checkpoint_000030848_15794176.pth... +[2026-06-06 18:43:41,706][187799] Updated weights for policy 0, policy_version 30864 (0.0017) +[2026-06-06 18:43:45,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 6997.9). Total num frames: 15826944. Throughput: 0: 6804.0. Samples: 15834112. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-06 18:43:45,512][186392] Avg episode reward: [(0, '8159.050')] +[2026-06-06 18:43:46,348][187720] Signal inference workers to stop experience collection... (1450 times) +[2026-06-06 18:43:46,381][187799] InferenceWorker_p0-w0: stopping experience collection (1450 times) +[2026-06-06 18:43:46,514][187720] Signal inference workers to resume experience collection... (1450 times) +[2026-06-06 18:43:46,515][187799] InferenceWorker_p0-w0: resuming experience collection (1450 times) +[2026-06-06 18:43:46,724][187799] Updated weights for policy 0, policy_version 30964 (0.0022) +[2026-06-06 18:43:50,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6553.5, 300 sec: 6997.9). Total num frames: 15859712. Throughput: 0: 6872.1. Samples: 15876608. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-06 18:43:50,513][186392] Avg episode reward: [(0, '8302.100')] +[2026-06-06 18:43:50,520][187720] Saving new best policy, reward=8302.100! +[2026-06-06 18:43:55,401][187799] Updated weights for policy 0, policy_version 31056 (0.0017) +[2026-06-06 18:43:55,511][186392] Fps is (10 sec: 7372.6, 60 sec: 6690.1, 300 sec: 7025.7). Total num frames: 15900672. Throughput: 0: 6974.5. Samples: 15920640. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-06 18:43:55,513][186392] Avg episode reward: [(0, '8281.250')] +[2026-06-06 18:44:00,390][187799] Updated weights for policy 0, policy_version 31161 (0.0017) +[2026-06-06 18:44:00,510][186392] Fps is (10 sec: 9831.1, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 15958016. Throughput: 0: 6951.9. Samples: 15942656. Policy #0 lag: (min: 15.0, avg: 18.2, max: 79.0) +[2026-06-06 18:44:00,512][186392] Avg episode reward: [(0, '8252.900')] +[2026-06-06 18:44:05,511][186392] Fps is (10 sec: 9011.3, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 15990784. Throughput: 0: 7111.1. Samples: 15986176. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:44:05,513][186392] Avg episode reward: [(0, '8170.100')] +[2026-06-06 18:44:09,358][187799] Updated weights for policy 0, policy_version 31248 (0.0018) +[2026-06-06 18:44:10,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 16023552. Throughput: 0: 7031.5. Samples: 16025088. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:44:10,512][186392] Avg episode reward: [(0, '8045.500')] +[2026-06-06 18:44:15,041][187799] Updated weights for policy 0, policy_version 31356 (0.0015) +[2026-06-06 18:44:15,510][186392] Fps is (10 sec: 6553.9, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 16056320. Throughput: 0: 7042.9. Samples: 16046080. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:44:15,511][186392] Avg episode reward: [(0, '8037.900')] +[2026-06-06 18:44:20,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.8, 300 sec: 7081.2). Total num frames: 16089088. Throughput: 0: 7031.5. Samples: 16087040. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:44:20,511][186392] Avg episode reward: [(0, '8016.000')] +[2026-06-06 18:44:24,470][187799] Updated weights for policy 0, policy_version 31456 (0.0021) +[2026-06-06 18:44:25,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7053.5). Total num frames: 16121856. Throughput: 0: 6883.6. Samples: 16123904. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:44:25,511][186392] Avg episode reward: [(0, '8026.600')] +[2026-06-06 18:44:30,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7025.7). Total num frames: 16154624. Throughput: 0: 6963.2. Samples: 16147456. Policy #0 lag: (min: 6.0, avg: 8.6, max: 70.0) +[2026-06-06 18:44:30,512][186392] Avg episode reward: [(0, '7903.300')] +[2026-06-06 18:44:33,466][187799] Updated weights for policy 0, policy_version 31553 (0.0019) +[2026-06-06 18:44:35,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 6997.9). Total num frames: 16187392. Throughput: 0: 6951.9. Samples: 16189440. Policy #0 lag: (min: 6.0, avg: 8.6, max: 70.0) +[2026-06-06 18:44:35,513][186392] Avg episode reward: [(0, '7960.800')] +[2026-06-06 18:44:38,489][187799] Updated weights for policy 0, policy_version 31650 (0.0023) +[2026-06-06 18:44:40,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.8, 300 sec: 6997.9). Total num frames: 16220160. Throughput: 0: 6872.2. Samples: 16229888. Policy #0 lag: (min: 6.0, avg: 8.6, max: 70.0) +[2026-06-06 18:44:40,511][186392] Avg episode reward: [(0, '8068.000')] +[2026-06-06 18:44:43,642][187799] Updated weights for policy 0, policy_version 31731 (0.0018) +[2026-06-06 18:44:45,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6997.9). Total num frames: 16252928. Throughput: 0: 6872.2. Samples: 16251904. Policy #0 lag: (min: 6.0, avg: 8.6, max: 70.0) +[2026-06-06 18:44:45,512][186392] Avg episode reward: [(0, '8100.750')] +[2026-06-06 18:44:48,674][187799] Updated weights for policy 0, policy_version 31808 (0.0018) +[2026-06-06 18:44:50,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.8, 300 sec: 6997.9). Total num frames: 16285696. Throughput: 0: 6758.4. Samples: 16290304. Policy #0 lag: (min: 6.0, avg: 8.6, max: 70.0) +[2026-06-06 18:44:50,511][186392] Avg episode reward: [(0, '8227.100')] +[2026-06-06 18:44:55,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6963.2, 300 sec: 6997.9). Total num frames: 16318464. Throughput: 0: 6838.0. Samples: 16332800. Policy #0 lag: (min: 12.0, avg: 15.6, max: 76.0) +[2026-06-06 18:44:55,512][186392] Avg episode reward: [(0, '8258.600')] +[2026-06-06 18:44:57,467][187799] Updated weights for policy 0, policy_version 31906 (0.0021) +[2026-06-06 18:45:00,511][186392] Fps is (10 sec: 6553.3, 60 sec: 6553.6, 300 sec: 6997.9). Total num frames: 16351232. Throughput: 0: 6838.0. Samples: 16353792. Policy #0 lag: (min: 12.0, avg: 15.6, max: 76.0) +[2026-06-06 18:45:00,513][186392] Avg episode reward: [(0, '8490.100')] +[2026-06-06 18:45:00,518][187720] Saving new best policy, reward=8490.100! +[2026-06-06 18:45:02,342][187799] Updated weights for policy 0, policy_version 32000 (0.0020) +[2026-06-06 18:45:05,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6997.9). Total num frames: 16384000. Throughput: 0: 6894.9. Samples: 16397312. Policy #0 lag: (min: 12.0, avg: 15.6, max: 76.0) +[2026-06-06 18:45:05,512][186392] Avg episode reward: [(0, '8545.100')] +[2026-06-06 18:45:05,519][187720] Saving new best policy, reward=8545.100! +[2026-06-06 18:45:06,252][187720] Signal inference workers to stop experience collection... (1500 times) +[2026-06-06 18:45:06,279][187799] InferenceWorker_p0-w0: stopping experience collection (1500 times) +[2026-06-06 18:45:06,383][187720] Signal inference workers to resume experience collection... (1500 times) +[2026-06-06 18:45:06,384][187799] InferenceWorker_p0-w0: resuming experience collection (1500 times) +[2026-06-06 18:45:10,510][186392] Fps is (10 sec: 6553.8, 60 sec: 6553.6, 300 sec: 6997.9). Total num frames: 16416768. Throughput: 0: 7077.0. Samples: 16442368. Policy #0 lag: (min: 12.0, avg: 15.6, max: 76.0) +[2026-06-06 18:45:10,512][186392] Avg episode reward: [(0, '8514.950')] +[2026-06-06 18:45:11,232][187799] Updated weights for policy 0, policy_version 32112 (0.0016) +[2026-06-06 18:45:15,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6553.6, 300 sec: 6997.9). Total num frames: 16449536. Throughput: 0: 6997.3. Samples: 16462336. Policy #0 lag: (min: 12.0, avg: 15.6, max: 76.0) +[2026-06-06 18:45:15,513][186392] Avg episode reward: [(0, '8490.050')] +[2026-06-06 18:45:16,140][187799] Updated weights for policy 0, policy_version 32192 (0.0016) +[2026-06-06 18:45:20,510][186392] Fps is (10 sec: 9830.4, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 16515072. Throughput: 0: 7077.0. Samples: 16507904. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:45:20,512][186392] Avg episode reward: [(0, '8393.300')] +[2026-06-06 18:45:24,010][187799] Updated weights for policy 0, policy_version 32288 (0.0018) +[2026-06-06 18:45:25,510][186392] Fps is (10 sec: 9830.5, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 16547840. Throughput: 0: 7202.1. Samples: 16553984. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:45:25,511][186392] Avg episode reward: [(0, '8279.700')] +[2026-06-06 18:45:28,402][187799] Updated weights for policy 0, policy_version 32368 (0.0015) +[2026-06-06 18:45:30,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 16580608. Throughput: 0: 7247.7. Samples: 16578048. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:45:30,511][186392] Avg episode reward: [(0, '8244.400')] +[2026-06-06 18:45:33,171][187799] Updated weights for policy 0, policy_version 32447 (0.0017) +[2026-06-06 18:45:35,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 16613376. Throughput: 0: 7338.6. Samples: 16620544. Policy #0 lag: (min: 15.0, avg: 17.7, max: 79.0) +[2026-06-06 18:45:35,513][186392] Avg episode reward: [(0, '8140.500')] +[2026-06-06 18:45:40,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 7081.2). Total num frames: 16646144. Throughput: 0: 7372.8. Samples: 16664576. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:45:40,511][186392] Avg episode reward: [(0, '8061.250')] +[2026-06-06 18:45:41,703][187799] Updated weights for policy 0, policy_version 32528 (0.0018) +[2026-06-06 18:45:45,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.8, 300 sec: 7025.7). Total num frames: 16678912. Throughput: 0: 7395.6. Samples: 16686592. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:45:45,511][186392] Avg episode reward: [(0, '7971.900')] +[2026-06-06 18:45:46,361][187799] Updated weights for policy 0, policy_version 32628 (0.0017) +[2026-06-06 18:45:50,511][186392] Fps is (10 sec: 9010.9, 60 sec: 7509.3, 300 sec: 7081.2). Total num frames: 16736256. Throughput: 0: 7486.6. Samples: 16734208. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:45:50,513][186392] Avg episode reward: [(0, '8057.400')] +[2026-06-06 18:45:54,502][187799] Updated weights for policy 0, policy_version 32720 (0.0017) +[2026-06-06 18:45:55,510][186392] Fps is (10 sec: 9830.4, 60 sec: 7645.9, 300 sec: 7109.0). Total num frames: 16777216. Throughput: 0: 7486.6. Samples: 16779264. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:45:55,511][186392] Avg episode reward: [(0, '8246.750')] +[2026-06-06 18:45:59,081][187799] Updated weights for policy 0, policy_version 32816 (0.0023) +[2026-06-06 18:46:00,510][186392] Fps is (10 sec: 7373.0, 60 sec: 7645.9, 300 sec: 7109.0). Total num frames: 16809984. Throughput: 0: 7577.6. Samples: 16803328. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-06 18:46:00,511][186392] Avg episode reward: [(0, '8249.300')] +[2026-06-06 18:46:03,501][187799] Updated weights for policy 0, policy_version 32892 (0.0016) +[2026-06-06 18:46:05,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7645.9, 300 sec: 7109.0). Total num frames: 16842752. Throughput: 0: 7543.5. Samples: 16847360. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-06 18:46:05,511][186392] Avg episode reward: [(0, '8190.600')] +[2026-06-06 18:46:10,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7645.9, 300 sec: 7109.0). Total num frames: 16875520. Throughput: 0: 7441.1. Samples: 16888832. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-06 18:46:10,512][186392] Avg episode reward: [(0, '8101.450')] +[2026-06-06 18:46:12,711][187799] Updated weights for policy 0, policy_version 32992 (0.0014) +[2026-06-06 18:46:15,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7645.9, 300 sec: 7109.0). Total num frames: 16908288. Throughput: 0: 7361.4. Samples: 16909312. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-06 18:46:15,511][186392] Avg episode reward: [(0, '8110.650')] +[2026-06-06 18:46:17,466][187720] Signal inference workers to stop experience collection... (1550 times) +[2026-06-06 18:46:17,500][187799] InferenceWorker_p0-w0: stopping experience collection (1550 times) +[2026-06-06 18:46:17,592][187720] Signal inference workers to resume experience collection... (1550 times) +[2026-06-06 18:46:17,593][187799] InferenceWorker_p0-w0: resuming experience collection (1550 times) +[2026-06-06 18:46:17,809][187799] Updated weights for policy 0, policy_version 33088 (0.0021) +[2026-06-06 18:46:20,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 16941056. Throughput: 0: 7350.1. Samples: 16951296. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-06 18:46:20,511][186392] Avg episode reward: [(0, '7993.750')] +[2026-06-06 18:46:25,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 16973824. Throughput: 0: 7338.6. Samples: 16994816. Policy #0 lag: (min: 9.0, avg: 11.7, max: 73.0) +[2026-06-06 18:46:25,511][186392] Avg episode reward: [(0, '8022.150')] +[2026-06-06 18:46:26,540][187799] Updated weights for policy 0, policy_version 33168 (0.0021) +[2026-06-06 18:46:30,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 17006592. Throughput: 0: 7270.4. Samples: 17013760. Policy #0 lag: (min: 9.0, avg: 11.7, max: 73.0) +[2026-06-06 18:46:30,511][186392] Avg episode reward: [(0, '8071.400')] +[2026-06-06 18:46:31,421][187799] Updated weights for policy 0, policy_version 33264 (0.0017) +[2026-06-06 18:46:35,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 17039360. Throughput: 0: 7213.5. Samples: 17058816. Policy #0 lag: (min: 9.0, avg: 11.7, max: 73.0) +[2026-06-06 18:46:35,511][186392] Avg episode reward: [(0, '8593.150')] +[2026-06-06 18:46:35,841][187720] Saving new best policy, reward=8593.150! +[2026-06-06 18:46:36,232][187799] Updated weights for policy 0, policy_version 33339 (0.0014) +[2026-06-06 18:46:40,510][186392] Fps is (10 sec: 8191.8, 60 sec: 7372.8, 300 sec: 7081.2). Total num frames: 17088512. Throughput: 0: 7179.3. Samples: 17102336. Policy #0 lag: (min: 9.0, avg: 11.7, max: 73.0) +[2026-06-06 18:46:40,513][186392] Avg episode reward: [(0, '8461.150')] +[2026-06-06 18:46:40,940][187799] Updated weights for policy 0, policy_version 33408 (0.0015) +[2026-06-06 18:46:45,510][186392] Fps is (10 sec: 9830.2, 60 sec: 7645.8, 300 sec: 7109.0). Total num frames: 17137664. Throughput: 0: 7088.3. Samples: 17122304. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-06 18:46:45,512][186392] Avg episode reward: [(0, '8495.600')] +[2026-06-06 18:46:49,810][187799] Updated weights for policy 0, policy_version 33504 (0.0021) +[2026-06-06 18:46:50,510][186392] Fps is (10 sec: 8192.2, 60 sec: 7236.3, 300 sec: 7109.0). Total num frames: 17170432. Throughput: 0: 7077.0. Samples: 17165824. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-06 18:46:50,511][186392] Avg episode reward: [(0, '8916.750')] +[2026-06-06 18:46:50,517][187720] Saving new best policy, reward=8916.750! +[2026-06-06 18:46:54,869][187799] Updated weights for policy 0, policy_version 33595 (0.0020) +[2026-06-06 18:46:55,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 17203200. Throughput: 0: 7031.5. Samples: 17205248. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-06 18:46:55,511][186392] Avg episode reward: [(0, '8933.550')] +[2026-06-06 18:46:55,516][187720] Saving new best policy, reward=8933.550! +[2026-06-06 18:46:59,481][187799] Updated weights for policy 0, policy_version 33664 (0.0015) +[2026-06-06 18:47:00,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 17235968. Throughput: 0: 7122.4. Samples: 17229824. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-06 18:47:00,512][186392] Avg episode reward: [(0, '9016.200')] +[2026-06-06 18:47:00,517][187720] Saving new best policy, reward=9016.200! +[2026-06-06 18:47:05,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 17268736. Throughput: 0: 7065.6. Samples: 17269248. Policy #0 lag: (min: 15.0, avg: 19.3, max: 79.0) +[2026-06-06 18:47:05,512][186392] Avg episode reward: [(0, '9088.750')] +[2026-06-06 18:47:05,517][187720] Saving new best policy, reward=9088.750! +[2026-06-06 18:47:08,684][187799] Updated weights for policy 0, policy_version 33776 (0.0021) +[2026-06-06 18:47:10,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 17301504. Throughput: 0: 7031.5. Samples: 17311232. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:47:10,512][186392] Avg episode reward: [(0, '9219.350')] +[2026-06-06 18:47:10,516][187720] Saving new best policy, reward=9219.350! +[2026-06-06 18:47:13,310][187799] Updated weights for policy 0, policy_version 33852 (0.0015) +[2026-06-06 18:47:15,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 17334272. Throughput: 0: 7133.8. Samples: 17334784. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:47:15,512][186392] Avg episode reward: [(0, '9070.900')] +[2026-06-06 18:47:20,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 17367040. Throughput: 0: 7065.6. Samples: 17376768. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:47:20,513][186392] Avg episode reward: [(0, '8710.200')] +[2026-06-06 18:47:22,174][187799] Updated weights for policy 0, policy_version 33968 (0.0016) +[2026-06-06 18:47:25,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 7025.7). Total num frames: 17399808. Throughput: 0: 7065.6. Samples: 17420288. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:47:25,512][186392] Avg episode reward: [(0, '8890.300')] +[2026-06-06 18:47:27,096][187799] Updated weights for policy 0, policy_version 34048 (0.0021) +[2026-06-06 18:47:30,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6997.9). Total num frames: 17432576. Throughput: 0: 7077.0. Samples: 17440768. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:47:30,511][186392] Avg episode reward: [(0, '8952.900')] +[2026-06-06 18:47:35,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6997.9). Total num frames: 17465344. Throughput: 0: 7065.6. Samples: 17483776. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:47:35,512][186392] Avg episode reward: [(0, '8736.600')] +[2026-06-06 18:47:35,875][187720] Signal inference workers to stop experience collection... (1600 times) +[2026-06-06 18:47:35,905][187799] InferenceWorker_p0-w0: stopping experience collection (1600 times) +[2026-06-06 18:47:36,048][187720] Signal inference workers to resume experience collection... (1600 times) +[2026-06-06 18:47:36,049][187799] InferenceWorker_p0-w0: resuming experience collection (1600 times) +[2026-06-06 18:47:36,310][187799] Updated weights for policy 0, policy_version 34163 (0.0016) +[2026-06-06 18:47:40,510][186392] Fps is (10 sec: 7372.8, 60 sec: 6963.2, 300 sec: 7025.7). Total num frames: 17506304. Throughput: 0: 7133.9. Samples: 17526272. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:47:40,512][186392] Avg episode reward: [(0, '9121.700')] +[2026-06-06 18:47:41,147][187799] Updated weights for policy 0, policy_version 34240 (0.0016) +[2026-06-06 18:47:45,510][186392] Fps is (10 sec: 7372.9, 60 sec: 6690.2, 300 sec: 7025.7). Total num frames: 17539072. Throughput: 0: 7042.9. Samples: 17546752. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:47:45,511][186392] Avg episode reward: [(0, '9376.700')] +[2026-06-06 18:47:45,699][187720] Saving new best policy, reward=9376.700! +[2026-06-06 18:47:50,092][187799] Updated weights for policy 0, policy_version 34336 (0.0021) +[2026-06-06 18:47:50,510][186392] Fps is (10 sec: 8192.0, 60 sec: 6963.2, 300 sec: 7081.2). Total num frames: 17588224. Throughput: 0: 7111.1. Samples: 17589248. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:47:50,512][186392] Avg episode reward: [(0, '9541.150')] +[2026-06-06 18:47:50,533][187720] Saving new best policy, reward=9541.150! +[2026-06-06 18:47:55,271][187799] Updated weights for policy 0, policy_version 34430 (0.0021) +[2026-06-06 18:47:55,510][186392] Fps is (10 sec: 9011.2, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 17629184. Throughput: 0: 7088.3. Samples: 17630208. Policy #0 lag: (min: 9.0, avg: 11.7, max: 73.0) +[2026-06-06 18:47:55,512][186392] Avg episode reward: [(0, '9458.450')] +[2026-06-06 18:48:00,511][186392] Fps is (10 sec: 7372.8, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 17661952. Throughput: 0: 7065.6. Samples: 17652736. Policy #0 lag: (min: 9.0, avg: 11.7, max: 73.0) +[2026-06-06 18:48:00,513][186392] Avg episode reward: [(0, '9360.900')] +[2026-06-06 18:48:03,949][187799] Updated weights for policy 0, policy_version 34528 (0.0018) +[2026-06-06 18:48:05,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 17694720. Throughput: 0: 7077.0. Samples: 17695232. Policy #0 lag: (min: 9.0, avg: 11.7, max: 73.0) +[2026-06-06 18:48:05,512][186392] Avg episode reward: [(0, '9240.900')] +[2026-06-06 18:48:09,020][187799] Updated weights for policy 0, policy_version 34611 (0.0016) +[2026-06-06 18:48:10,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 17727488. Throughput: 0: 6997.3. Samples: 17735168. Policy #0 lag: (min: 9.0, avg: 11.7, max: 73.0) +[2026-06-06 18:48:10,513][186392] Avg episode reward: [(0, '9509.900')] +[2026-06-06 18:48:13,938][187799] Updated weights for policy 0, policy_version 34688 (0.0015) +[2026-06-06 18:48:15,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 17760256. Throughput: 0: 7031.5. Samples: 17757184. Policy #0 lag: (min: 9.0, avg: 11.7, max: 73.0) +[2026-06-06 18:48:15,511][186392] Avg episode reward: [(0, '9536.350')] +[2026-06-06 18:48:20,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 17793024. Throughput: 0: 6963.2. Samples: 17797120. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-06 18:48:20,512][186392] Avg episode reward: [(0, '9401.900')] +[2026-06-06 18:48:22,870][187799] Updated weights for policy 0, policy_version 34784 (0.0018) +[2026-06-06 18:48:25,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 17825792. Throughput: 0: 6985.9. Samples: 17840640. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-06 18:48:25,512][186392] Avg episode reward: [(0, '9464.750')] +[2026-06-06 18:48:27,751][187799] Updated weights for policy 0, policy_version 34867 (0.0017) +[2026-06-06 18:48:30,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 17858560. Throughput: 0: 6974.6. Samples: 17860608. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-06 18:48:30,512][186392] Avg episode reward: [(0, '9413.650')] +[2026-06-06 18:48:35,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 17891328. Throughput: 0: 6986.0. Samples: 17903616. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-06 18:48:35,512][186392] Avg episode reward: [(0, '9125.400')] +[2026-06-06 18:48:36,694][187799] Updated weights for policy 0, policy_version 34976 (0.0015) +[2026-06-06 18:48:40,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6963.2, 300 sec: 7109.0). Total num frames: 17924096. Throughput: 0: 7065.6. Samples: 17948160. Policy #0 lag: (min: 12.0, avg: 14.8, max: 76.0) +[2026-06-06 18:48:40,512][186392] Avg episode reward: [(0, '9196.700')] +[2026-06-06 18:48:41,377][187799] Updated weights for policy 0, policy_version 35065 (0.0022) +[2026-06-06 18:48:45,511][186392] Fps is (10 sec: 7372.7, 60 sec: 7099.7, 300 sec: 7136.8). Total num frames: 17965056. Throughput: 0: 7065.6. Samples: 17970688. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:48:45,513][186392] Avg episode reward: [(0, '9398.600')] +[2026-06-06 18:48:46,036][187799] Updated weights for policy 0, policy_version 35136 (0.0017) +[2026-06-06 18:48:50,510][186392] Fps is (10 sec: 9830.6, 60 sec: 7236.3, 300 sec: 7192.3). Total num frames: 18022400. Throughput: 0: 7111.1. Samples: 18015232. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:48:50,511][186392] Avg episode reward: [(0, '9412.850')] +[2026-06-06 18:48:54,349][187720] Signal inference workers to stop experience collection... (1650 times) +[2026-06-06 18:48:54,380][187799] InferenceWorker_p0-w0: stopping experience collection (1650 times) +[2026-06-06 18:48:54,486][187720] Signal inference workers to resume experience collection... (1650 times) +[2026-06-06 18:48:54,487][187799] InferenceWorker_p0-w0: resuming experience collection (1650 times) +[2026-06-06 18:48:54,922][187799] Updated weights for policy 0, policy_version 35254 (0.0022) +[2026-06-06 18:48:55,510][186392] Fps is (10 sec: 9011.3, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 18055168. Throughput: 0: 7145.3. Samples: 18056704. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:48:55,512][186392] Avg episode reward: [(0, '9313.250')] +[2026-06-06 18:48:59,783][187799] Updated weights for policy 0, policy_version 35328 (0.0016) +[2026-06-06 18:49:00,510][186392] Fps is (10 sec: 6553.4, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 18087936. Throughput: 0: 7168.0. Samples: 18079744. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:49:00,512][186392] Avg episode reward: [(0, '9394.700')] +[2026-06-06 18:49:05,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 18120704. Throughput: 0: 7190.8. Samples: 18120704. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-06 18:49:05,511][186392] Avg episode reward: [(0, '9120.700')] +[2026-06-06 18:49:09,112][187799] Updated weights for policy 0, policy_version 35424 (0.0015) +[2026-06-06 18:49:10,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 18153472. Throughput: 0: 7077.0. Samples: 18159104. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-06 18:49:10,513][186392] Avg episode reward: [(0, '9081.400')] +[2026-06-06 18:49:13,873][187799] Updated weights for policy 0, policy_version 35504 (0.0021) +[2026-06-06 18:49:15,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 18186240. Throughput: 0: 7133.9. Samples: 18181632. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-06 18:49:15,512][186392] Avg episode reward: [(0, '9059.500')] +[2026-06-06 18:49:18,534][187799] Updated weights for policy 0, policy_version 35577 (0.0014) +[2026-06-06 18:49:20,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 18219008. Throughput: 0: 7099.7. Samples: 18223104. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-06 18:49:20,511][186392] Avg episode reward: [(0, '8856.800')] +[2026-06-06 18:49:25,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 18251776. Throughput: 0: 7065.6. Samples: 18266112. Policy #0 lag: (min: 15.0, avg: 18.3, max: 79.0) +[2026-06-06 18:49:25,511][186392] Avg episode reward: [(0, '8985.900')] +[2026-06-06 18:49:27,250][187799] Updated weights for policy 0, policy_version 35649 (0.0016) +[2026-06-06 18:49:30,510][186392] Fps is (10 sec: 6553.4, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 18284544. Throughput: 0: 7020.1. Samples: 18286592. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:49:30,512][186392] Avg episode reward: [(0, '9111.350')] +[2026-06-06 18:49:32,416][187799] Updated weights for policy 0, policy_version 35760 (0.0020) +[2026-06-06 18:49:35,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 18317312. Throughput: 0: 6963.2. Samples: 18328576. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:49:35,513][186392] Avg episode reward: [(0, '9175.850')] +[2026-06-06 18:49:40,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 18350080. Throughput: 0: 6963.2. Samples: 18370048. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:49:40,512][186392] Avg episode reward: [(0, '9298.950')] +[2026-06-06 18:49:41,572][187799] Updated weights for policy 0, policy_version 35856 (0.0017) +[2026-06-06 18:49:45,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6963.2, 300 sec: 7109.0). Total num frames: 18382848. Throughput: 0: 6906.3. Samples: 18390528. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:49:45,512][186392] Avg episode reward: [(0, '9411.950')] +[2026-06-06 18:49:46,744][187799] Updated weights for policy 0, policy_version 35959 (0.0018) +[2026-06-06 18:49:50,511][186392] Fps is (10 sec: 6553.5, 60 sec: 6553.6, 300 sec: 7109.0). Total num frames: 18415616. Throughput: 0: 6917.7. Samples: 18432000. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:49:50,513][186392] Avg episode reward: [(0, '9570.400')] +[2026-06-06 18:49:50,518][187720] Saving new best policy, reward=9570.400! +[2026-06-06 18:49:55,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6553.6, 300 sec: 7109.0). Total num frames: 18448384. Throughput: 0: 7020.1. Samples: 18475008. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:49:55,512][186392] Avg episode reward: [(0, '9572.650')] +[2026-06-06 18:49:55,735][187720] Saving new best policy, reward=9572.650! +[2026-06-06 18:49:55,739][187799] Updated weights for policy 0, policy_version 36064 (0.0017) +[2026-06-06 18:50:00,510][186392] Fps is (10 sec: 8192.0, 60 sec: 6826.7, 300 sec: 7164.5). Total num frames: 18497536. Throughput: 0: 6985.9. Samples: 18496000. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:50:00,512][186392] Avg episode reward: [(0, '9660.700')] +[2026-06-06 18:50:00,723][187799] Updated weights for policy 0, policy_version 36152 (0.0017) +[2026-06-06 18:50:00,836][187720] Saving new best policy, reward=9660.700! +[2026-06-06 18:50:05,510][186392] Fps is (10 sec: 9830.3, 60 sec: 7099.7, 300 sec: 7220.1). Total num frames: 18546688. Throughput: 0: 7031.4. Samples: 18539520. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:50:05,512][186392] Avg episode reward: [(0, '9641.450')] +[2026-06-06 18:50:09,526][187720] Signal inference workers to stop experience collection... (1700 times) +[2026-06-06 18:50:09,527][187799] Updated weights for policy 0, policy_version 36256 (0.0014) +[2026-06-06 18:50:09,563][187799] InferenceWorker_p0-w0: stopping experience collection (1700 times) +[2026-06-06 18:50:09,733][187720] Signal inference workers to resume experience collection... (1700 times) +[2026-06-06 18:50:09,734][187799] InferenceWorker_p0-w0: resuming experience collection (1700 times) +[2026-06-06 18:50:10,510][186392] Fps is (10 sec: 8192.1, 60 sec: 7099.7, 300 sec: 7220.1). Total num frames: 18579456. Throughput: 0: 6997.3. Samples: 18580992. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:50:10,512][186392] Avg episode reward: [(0, '9607.750')] +[2026-06-06 18:50:14,825][187799] Updated weights for policy 0, policy_version 36350 (0.0018) +[2026-06-06 18:50:15,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 18612224. Throughput: 0: 7031.5. Samples: 18603008. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:50:15,513][186392] Avg episode reward: [(0, '9492.600')] +[2026-06-06 18:50:20,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 18644992. Throughput: 0: 7031.5. Samples: 18644992. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:50:20,512][186392] Avg episode reward: [(0, '9473.200')] +[2026-06-06 18:50:23,127][187799] Updated weights for policy 0, policy_version 36418 (0.0015) +[2026-06-06 18:50:25,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 18677760. Throughput: 0: 7065.6. Samples: 18688000. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:50:25,511][186392] Avg episode reward: [(0, '9341.700')] +[2026-06-06 18:50:27,891][187799] Updated weights for policy 0, policy_version 36512 (0.0016) +[2026-06-06 18:50:30,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 18710528. Throughput: 0: 7122.5. Samples: 18711040. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:50:30,511][186392] Avg episode reward: [(0, '9043.350')] +[2026-06-06 18:50:32,509][187799] Updated weights for policy 0, policy_version 36592 (0.0016) +[2026-06-06 18:50:35,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 18743296. Throughput: 0: 7168.0. Samples: 18754560. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:50:35,513][186392] Avg episode reward: [(0, '9079.100')] +[2026-06-06 18:50:37,045][187799] Updated weights for policy 0, policy_version 36667 (0.0016) +[2026-06-06 18:50:40,510][186392] Fps is (10 sec: 6553.4, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 18776064. Throughput: 0: 7224.9. Samples: 18800128. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:50:40,513][186392] Avg episode reward: [(0, '9378.650')] +[2026-06-06 18:50:45,324][187799] Updated weights for policy 0, policy_version 36768 (0.0014) +[2026-06-06 18:50:45,510][186392] Fps is (10 sec: 9011.4, 60 sec: 7509.4, 300 sec: 7109.0). Total num frames: 18833408. Throughput: 0: 7247.7. Samples: 18822144. Policy #0 lag: (min: 13.0, avg: 15.8, max: 77.0) +[2026-06-06 18:50:45,511][186392] Avg episode reward: [(0, '9478.900')] +[2026-06-06 18:50:49,693][187799] Updated weights for policy 0, policy_version 36834 (0.0016) +[2026-06-06 18:50:50,511][186392] Fps is (10 sec: 9830.3, 60 sec: 7645.9, 300 sec: 7109.0). Total num frames: 18874368. Throughput: 0: 7338.7. Samples: 18869760. Policy #0 lag: (min: 13.0, avg: 15.8, max: 77.0) +[2026-06-06 18:50:50,514][186392] Avg episode reward: [(0, '9620.800')] +[2026-06-06 18:50:54,097][187799] Updated weights for policy 0, policy_version 36920 (0.0017) +[2026-06-06 18:50:55,510][186392] Fps is (10 sec: 7372.7, 60 sec: 7645.9, 300 sec: 7109.0). Total num frames: 18907136. Throughput: 0: 7441.1. Samples: 18915840. Policy #0 lag: (min: 13.0, avg: 15.8, max: 77.0) +[2026-06-06 18:50:55,511][186392] Avg episode reward: [(0, '9535.900')] +[2026-06-06 18:51:00,511][186392] Fps is (10 sec: 6553.7, 60 sec: 7372.8, 300 sec: 7109.0). Total num frames: 18939904. Throughput: 0: 7497.9. Samples: 18940416. Policy #0 lag: (min: 13.0, avg: 15.8, max: 77.0) +[2026-06-06 18:51:00,513][186392] Avg episode reward: [(0, '9566.600')] +[2026-06-06 18:51:01,871][187799] Updated weights for policy 0, policy_version 37008 (0.0015) +[2026-06-06 18:51:05,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 18972672. Throughput: 0: 7623.1. Samples: 18988032. Policy #0 lag: (min: 13.0, avg: 15.8, max: 77.0) +[2026-06-06 18:51:05,512][186392] Avg episode reward: [(0, '9632.700')] +[2026-06-06 18:51:06,368][187799] Updated weights for policy 0, policy_version 37113 (0.0017) +[2026-06-06 18:51:10,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 19005440. Throughput: 0: 7657.3. Samples: 19032576. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:51:10,511][186392] Avg episode reward: [(0, '9742.650')] +[2026-06-06 18:51:10,795][187720] Saving new best policy, reward=9742.650! +[2026-06-06 18:51:11,281][187799] Updated weights for policy 0, policy_version 37184 (0.0017) +[2026-06-06 18:51:15,510][186392] Fps is (10 sec: 9011.1, 60 sec: 7509.3, 300 sec: 7192.3). Total num frames: 19062784. Throughput: 0: 7611.7. Samples: 19053568. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:51:15,512][186392] Avg episode reward: [(0, '9759.500')] +[2026-06-06 18:51:15,713][187720] Saving new best policy, reward=9759.500! +[2026-06-06 18:51:20,107][187799] Updated weights for policy 0, policy_version 37296 (0.0018) +[2026-06-06 18:51:20,510][186392] Fps is (10 sec: 9830.2, 60 sec: 7645.9, 300 sec: 7220.1). Total num frames: 19103744. Throughput: 0: 7611.7. Samples: 19097088. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:51:20,512][186392] Avg episode reward: [(0, '9895.650')] +[2026-06-06 18:51:20,517][187720] Saving new best policy, reward=9895.650! +[2026-06-06 18:51:24,627][187720] Signal inference workers to stop experience collection... (1750 times) +[2026-06-06 18:51:24,664][187799] InferenceWorker_p0-w0: stopping experience collection (1750 times) +[2026-06-06 18:51:24,782][187720] Signal inference workers to resume experience collection... (1750 times) +[2026-06-06 18:51:24,783][187799] InferenceWorker_p0-w0: resuming experience collection (1750 times) +[2026-06-06 18:51:25,260][187799] Updated weights for policy 0, policy_version 37376 (0.0018) +[2026-06-06 18:51:25,510][186392] Fps is (10 sec: 7373.0, 60 sec: 7645.9, 300 sec: 7220.1). Total num frames: 19136512. Throughput: 0: 7498.0. Samples: 19137536. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:51:25,511][186392] Avg episode reward: [(0, '9700.000')] +[2026-06-06 18:51:30,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7645.9, 300 sec: 7220.1). Total num frames: 19169280. Throughput: 0: 7486.6. Samples: 19159040. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:51:30,512][186392] Avg episode reward: [(0, '9766.200')] +[2026-06-06 18:51:34,180][187799] Updated weights for policy 0, policy_version 37488 (0.0019) +[2026-06-06 18:51:35,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7645.9, 300 sec: 7164.5). Total num frames: 19202048. Throughput: 0: 7395.6. Samples: 19202560. Policy #0 lag: (min: 5.0, avg: 7.9, max: 69.0) +[2026-06-06 18:51:35,512][186392] Avg episode reward: [(0, '9921.300')] +[2026-06-06 18:51:35,519][187720] Saving new best policy, reward=9921.300! +[2026-06-06 18:51:38,927][187799] Updated weights for policy 0, policy_version 37556 (0.0016) +[2026-06-06 18:51:40,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7645.9, 300 sec: 7109.0). Total num frames: 19234816. Throughput: 0: 7270.4. Samples: 19243008. Policy #0 lag: (min: 5.0, avg: 7.9, max: 69.0) +[2026-06-06 18:51:40,512][186392] Avg episode reward: [(0, '10122.350')] +[2026-06-06 18:51:40,517][187720] Saving new best policy, reward=10122.350! +[2026-06-06 18:51:45,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7236.3, 300 sec: 7109.0). Total num frames: 19267584. Throughput: 0: 7213.5. Samples: 19265024. Policy #0 lag: (min: 5.0, avg: 7.9, max: 69.0) +[2026-06-06 18:51:45,511][186392] Avg episode reward: [(0, '10145.950')] +[2026-06-06 18:51:45,517][187720] Saving new best policy, reward=10145.950! +[2026-06-06 18:51:47,892][187799] Updated weights for policy 0, policy_version 37648 (0.0016) +[2026-06-06 18:51:50,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 19300352. Throughput: 0: 7054.2. Samples: 19305472. Policy #0 lag: (min: 5.0, avg: 7.9, max: 69.0) +[2026-06-06 18:51:50,512][186392] Avg episode reward: [(0, '10332.200')] +[2026-06-06 18:51:50,517][187720] Saving new best policy, reward=10332.200! +[2026-06-06 18:51:52,952][187799] Updated weights for policy 0, policy_version 37747 (0.0017) +[2026-06-06 18:51:55,511][186392] Fps is (10 sec: 6553.3, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 19333120. Throughput: 0: 7031.4. Samples: 19348992. Policy #0 lag: (min: 5.0, avg: 7.9, max: 69.0) +[2026-06-06 18:51:55,513][186392] Avg episode reward: [(0, '10379.300')] +[2026-06-06 18:51:55,521][187720] Saving new best policy, reward=10379.300! +[2026-06-06 18:51:57,790][187799] Updated weights for policy 0, policy_version 37824 (0.0017) +[2026-06-06 18:52:00,511][186392] Fps is (10 sec: 6553.4, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 19365888. Throughput: 0: 7008.7. Samples: 19368960. Policy #0 lag: (min: 5.0, avg: 7.9, max: 69.0) +[2026-06-06 18:52:00,512][186392] Avg episode reward: [(0, '10944.000')] +[2026-06-06 18:52:00,518][187720] Saving new best policy, reward=10944.000! +[2026-06-06 18:52:05,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 19398656. Throughput: 0: 7031.5. Samples: 19413504. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:52:05,513][186392] Avg episode reward: [(0, '10964.400')] +[2026-06-06 18:52:05,520][187720] Saving new best policy, reward=10964.400! +[2026-06-06 18:52:06,430][187799] Updated weights for policy 0, policy_version 37936 (0.0017) +[2026-06-06 18:52:10,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 19431424. Throughput: 0: 7122.5. Samples: 19458048. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:52:10,511][186392] Avg episode reward: [(0, '11223.350')] +[2026-06-06 18:52:10,867][187720] Saving new best policy, reward=11223.350! +[2026-06-06 18:52:11,294][187799] Updated weights for policy 0, policy_version 38016 (0.0017) +[2026-06-06 18:52:15,511][186392] Fps is (10 sec: 9011.2, 60 sec: 7099.7, 300 sec: 7192.3). Total num frames: 19488768. Throughput: 0: 7111.1. Samples: 19479040. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:52:15,513][186392] Avg episode reward: [(0, '11125.350')] +[2026-06-06 18:52:20,294][187799] Updated weights for policy 0, policy_version 38128 (0.0019) +[2026-06-06 18:52:20,511][186392] Fps is (10 sec: 9010.9, 60 sec: 6963.2, 300 sec: 7192.3). Total num frames: 19521536. Throughput: 0: 7111.1. Samples: 19522560. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:52:20,512][186392] Avg episode reward: [(0, '10672.450')] +[2026-06-06 18:52:25,181][187799] Updated weights for policy 0, policy_version 38206 (0.0016) +[2026-06-06 18:52:25,510][186392] Fps is (10 sec: 7373.0, 60 sec: 7099.7, 300 sec: 7220.1). Total num frames: 19562496. Throughput: 0: 7122.5. Samples: 19563520. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:52:25,511][186392] Avg episode reward: [(0, '10630.750')] +[2026-06-06 18:52:29,964][187799] Updated weights for policy 0, policy_version 38272 (0.0014) +[2026-06-06 18:52:30,510][186392] Fps is (10 sec: 7372.9, 60 sec: 7099.7, 300 sec: 7220.1). Total num frames: 19595264. Throughput: 0: 7111.1. Samples: 19585024. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:52:30,512][186392] Avg episode reward: [(0, '10649.500')] +[2026-06-06 18:52:35,510][186392] Fps is (10 sec: 6553.4, 60 sec: 7099.7, 300 sec: 7192.3). Total num frames: 19628032. Throughput: 0: 7179.3. Samples: 19628544. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:52:35,512][186392] Avg episode reward: [(0, '10822.550')] +[2026-06-06 18:52:38,143][187799] Updated weights for policy 0, policy_version 38337 (0.0019) +[2026-06-06 18:52:40,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7192.3). Total num frames: 19660800. Throughput: 0: 7145.3. Samples: 19670528. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:52:40,512][186392] Avg episode reward: [(0, '11134.000')] +[2026-06-06 18:52:42,767][187720] Signal inference workers to stop experience collection... (1800 times) +[2026-06-06 18:52:42,795][187799] InferenceWorker_p0-w0: stopping experience collection (1800 times) +[2026-06-06 18:52:42,969][187720] Signal inference workers to resume experience collection... (1800 times) +[2026-06-06 18:52:42,970][187799] InferenceWorker_p0-w0: resuming experience collection (1800 times) +[2026-06-06 18:52:43,164][187799] Updated weights for policy 0, policy_version 38432 (0.0016) +[2026-06-06 18:52:45,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 7136.8). Total num frames: 19693568. Throughput: 0: 7202.2. Samples: 19693056. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:52:45,512][186392] Avg episode reward: [(0, '11377.300')] +[2026-06-06 18:52:45,518][187720] Saving new best policy, reward=11377.300! +[2026-06-06 18:52:48,428][187799] Updated weights for policy 0, policy_version 38523 (0.0019) +[2026-06-06 18:52:50,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 19726336. Throughput: 0: 7077.0. Samples: 19731968. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:52:50,512][186392] Avg episode reward: [(0, '11386.850')] +[2026-06-06 18:52:50,518][187720] Saving new best policy, reward=11386.850! +[2026-06-06 18:52:53,066][187799] Updated weights for policy 0, policy_version 38592 (0.0016) +[2026-06-06 18:52:55,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 19759104. Throughput: 0: 7065.6. Samples: 19776000. Policy #0 lag: (min: 14.0, avg: 16.8, max: 78.0) +[2026-06-06 18:52:55,511][186392] Avg episode reward: [(0, '11324.900')] +[2026-06-06 18:53:00,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 19791872. Throughput: 0: 7054.2. Samples: 19796480. Policy #0 lag: (min: 12.0, avg: 14.9, max: 76.0) +[2026-06-06 18:53:00,511][186392] Avg episode reward: [(0, '11003.750')] +[2026-06-06 18:53:01,739][187799] Updated weights for policy 0, policy_version 38688 (0.0013) +[2026-06-06 18:53:05,511][186392] Fps is (10 sec: 6553.4, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 19824640. Throughput: 0: 7042.9. Samples: 19839488. Policy #0 lag: (min: 12.0, avg: 14.9, max: 76.0) +[2026-06-06 18:53:05,512][186392] Avg episode reward: [(0, '10904.650')] +[2026-06-06 18:53:06,748][187799] Updated weights for policy 0, policy_version 38775 (0.0015) +[2026-06-06 18:53:10,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 19857408. Throughput: 0: 7088.3. Samples: 19882496. Policy #0 lag: (min: 12.0, avg: 14.9, max: 76.0) +[2026-06-06 18:53:10,512][186392] Avg episode reward: [(0, '11084.050')] +[2026-06-06 18:53:11,553][187799] Updated weights for policy 0, policy_version 38846 (0.0014) +[2026-06-06 18:53:15,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6690.2, 300 sec: 7109.0). Total num frames: 19890176. Throughput: 0: 7042.9. Samples: 19901952. Policy #0 lag: (min: 12.0, avg: 14.9, max: 76.0) +[2026-06-06 18:53:15,511][186392] Avg episode reward: [(0, '11553.500')] +[2026-06-06 18:53:15,758][187720] Saving new best policy, reward=11553.500! +[2026-06-06 18:53:20,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6690.2, 300 sec: 7109.0). Total num frames: 19922944. Throughput: 0: 6997.3. Samples: 19943424. Policy #0 lag: (min: 12.0, avg: 14.9, max: 76.0) +[2026-06-06 18:53:20,512][186392] Avg episode reward: [(0, '11780.000')] +[2026-06-06 18:53:20,795][187720] Saving new best policy, reward=11780.000! +[2026-06-06 18:53:21,051][187799] Updated weights for policy 0, policy_version 38960 (0.0016) +[2026-06-06 18:53:25,510][186392] Fps is (10 sec: 8192.0, 60 sec: 6826.7, 300 sec: 7164.5). Total num frames: 19972096. Throughput: 0: 7008.8. Samples: 19985920. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-06 18:53:25,512][186392] Avg episode reward: [(0, '11631.400')] +[2026-06-06 18:53:25,789][187799] Updated weights for policy 0, policy_version 39025 (0.0015) +[2026-06-06 18:53:30,510][186392] Fps is (10 sec: 8192.0, 60 sec: 6826.7, 300 sec: 7164.5). Total num frames: 20004864. Throughput: 0: 6929.1. Samples: 20004864. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-06 18:53:30,511][186392] Avg episode reward: [(0, '11580.650')] +[2026-06-06 18:53:30,897][187799] Updated weights for policy 0, policy_version 39102 (0.0018) +[2026-06-06 18:53:35,510][186392] Fps is (10 sec: 5734.2, 60 sec: 6690.1, 300 sec: 7136.8). Total num frames: 20029440. Throughput: 0: 6940.4. Samples: 20044288. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-06 18:53:35,512][186392] Avg episode reward: [(0, '11251.350')] +[2026-06-06 18:53:40,474][187799] Updated weights for policy 0, policy_version 39200 (0.0015) +[2026-06-06 18:53:40,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6826.7, 300 sec: 7136.8). Total num frames: 20070400. Throughput: 0: 6860.8. Samples: 20084736. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-06 18:53:40,512][186392] Avg episode reward: [(0, '11162.450')] +[2026-06-06 18:53:40,937][187720] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride7_seed12/checkpoint_p0/checkpoint_000039232_20086784.pth... +[2026-06-06 18:53:45,510][186392] Fps is (10 sec: 7373.0, 60 sec: 6826.7, 300 sec: 7053.5). Total num frames: 20103168. Throughput: 0: 6803.9. Samples: 20102656. Policy #0 lag: (min: 15.0, avg: 18.1, max: 79.0) +[2026-06-06 18:53:45,511][186392] Avg episode reward: [(0, '11355.950')] +[2026-06-06 18:53:45,840][187799] Updated weights for policy 0, policy_version 39287 (0.0021) +[2026-06-06 18:53:50,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6826.7, 300 sec: 7053.5). Total num frames: 20135936. Throughput: 0: 6724.3. Samples: 20142080. Policy #0 lag: (min: 31.0, avg: 33.9, max: 95.0) +[2026-06-06 18:53:50,512][186392] Avg episode reward: [(0, '11630.900')] +[2026-06-06 18:53:51,192][187799] Updated weights for policy 0, policy_version 39360 (0.0018) +[2026-06-06 18:53:55,511][186392] Fps is (10 sec: 6553.1, 60 sec: 6826.6, 300 sec: 7053.4). Total num frames: 20168704. Throughput: 0: 6701.4. Samples: 20184064. Policy #0 lag: (min: 31.0, avg: 33.9, max: 95.0) +[2026-06-06 18:53:55,513][186392] Avg episode reward: [(0, '11302.300')] +[2026-06-06 18:54:00,336][187720] Signal inference workers to stop experience collection... (1850 times) +[2026-06-06 18:54:00,337][187799] Updated weights for policy 0, policy_version 39456 (0.0019) +[2026-06-06 18:54:00,370][187799] InferenceWorker_p0-w0: stopping experience collection (1850 times) +[2026-06-06 18:54:00,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6826.7, 300 sec: 7053.5). Total num frames: 20201472. Throughput: 0: 6667.4. Samples: 20201984. Policy #0 lag: (min: 31.0, avg: 33.9, max: 95.0) +[2026-06-06 18:54:00,511][186392] Avg episode reward: [(0, '11835.500')] +[2026-06-06 18:54:00,566][187720] Signal inference workers to resume experience collection... (1850 times) +[2026-06-06 18:54:00,567][187799] InferenceWorker_p0-w0: resuming experience collection (1850 times) +[2026-06-06 18:54:00,838][187720] Saving new best policy, reward=11835.500! +[2026-06-06 18:54:05,492][187799] Updated weights for policy 0, policy_version 39545 (0.0013) +[2026-06-06 18:54:05,510][186392] Fps is (10 sec: 7373.2, 60 sec: 6963.2, 300 sec: 7081.2). Total num frames: 20242432. Throughput: 0: 6667.4. Samples: 20243456. Policy #0 lag: (min: 31.0, avg: 33.9, max: 95.0) +[2026-06-06 18:54:05,512][186392] Avg episode reward: [(0, '11857.400')] +[2026-06-06 18:54:05,590][187720] Saving new best policy, reward=11857.400! +[2026-06-06 18:54:10,510][186392] Fps is (10 sec: 8191.8, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 20283392. Throughput: 0: 6621.8. Samples: 20283904. Policy #0 lag: (min: 31.0, avg: 33.9, max: 95.0) +[2026-06-06 18:54:10,512][186392] Avg episode reward: [(0, '11700.300')] +[2026-06-06 18:54:14,455][187799] Updated weights for policy 0, policy_version 39632 (0.0022) +[2026-06-06 18:54:15,510][186392] Fps is (10 sec: 7372.7, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 20316160. Throughput: 0: 6667.4. Samples: 20304896. Policy #0 lag: (min: 31.0, avg: 33.9, max: 95.0) +[2026-06-06 18:54:15,512][186392] Avg episode reward: [(0, '11696.500')] +[2026-06-06 18:54:19,489][187799] Updated weights for policy 0, policy_version 39742 (0.0018) +[2026-06-06 18:54:20,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 20348928. Throughput: 0: 6758.4. Samples: 20348416. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-06 18:54:20,512][186392] Avg episode reward: [(0, '11416.500')] +[2026-06-06 18:54:25,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6826.6, 300 sec: 7109.0). Total num frames: 20381696. Throughput: 0: 6769.8. Samples: 20389376. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-06 18:54:25,512][186392] Avg episode reward: [(0, '11652.000')] +[2026-06-06 18:54:28,049][187799] Updated weights for policy 0, policy_version 39842 (0.0018) +[2026-06-06 18:54:30,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6826.7, 300 sec: 7109.0). Total num frames: 20414464. Throughput: 0: 6940.4. Samples: 20414976. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-06 18:54:30,512][186392] Avg episode reward: [(0, '11820.650')] +[2026-06-06 18:54:32,774][187799] Updated weights for policy 0, policy_version 39929 (0.0018) +[2026-06-06 18:54:35,510][186392] Fps is (10 sec: 6553.8, 60 sec: 6963.2, 300 sec: 7109.0). Total num frames: 20447232. Throughput: 0: 7008.7. Samples: 20457472. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-06 18:54:35,512][186392] Avg episode reward: [(0, '11708.850')] +[2026-06-06 18:54:40,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6826.7, 300 sec: 7109.0). Total num frames: 20480000. Throughput: 0: 7020.2. Samples: 20499968. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-06 18:54:40,511][186392] Avg episode reward: [(0, '11534.300')] +[2026-06-06 18:54:41,580][187799] Updated weights for policy 0, policy_version 40016 (0.0016) +[2026-06-06 18:54:45,510][186392] Fps is (10 sec: 6553.5, 60 sec: 6826.6, 300 sec: 7109.0). Total num frames: 20512768. Throughput: 0: 7077.0. Samples: 20520448. Policy #0 lag: (min: 0.0, avg: 2.8, max: 64.0) +[2026-06-06 18:54:45,512][186392] Avg episode reward: [(0, '11413.450')] +[2026-06-06 18:54:46,769][187799] Updated weights for policy 0, policy_version 40123 (0.0015) +[2026-06-06 18:54:50,510][186392] Fps is (10 sec: 6553.4, 60 sec: 6826.7, 300 sec: 7109.0). Total num frames: 20545536. Throughput: 0: 7099.7. Samples: 20562944. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:54:50,512][186392] Avg episode reward: [(0, '11354.300')] +[2026-06-06 18:54:55,510][186392] Fps is (10 sec: 6553.6, 60 sec: 6826.7, 300 sec: 7053.5). Total num frames: 20578304. Throughput: 0: 7133.9. Samples: 20604928. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:54:55,512][186392] Avg episode reward: [(0, '11273.000')] +[2026-06-06 18:54:56,060][187799] Updated weights for policy 0, policy_version 40224 (0.0019) +[2026-06-06 18:55:00,510][186392] Fps is (10 sec: 6553.7, 60 sec: 6826.7, 300 sec: 6997.9). Total num frames: 20611072. Throughput: 0: 7088.4. Samples: 20623872. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:55:00,511][186392] Avg episode reward: [(0, '11478.200')] +[2026-06-06 18:55:00,969][187799] Updated weights for policy 0, policy_version 40314 (0.0017) +[2026-06-06 18:55:05,510][186392] Fps is (10 sec: 8192.0, 60 sec: 6963.2, 300 sec: 7053.5). Total num frames: 20660224. Throughput: 0: 7099.7. Samples: 20667904. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:55:05,512][186392] Avg episode reward: [(0, '11889.600')] +[2026-06-06 18:55:05,784][187720] Saving new best policy, reward=11889.600! +[2026-06-06 18:55:09,886][187799] Updated weights for policy 0, policy_version 40400 (0.0019) +[2026-06-06 18:55:10,511][186392] Fps is (10 sec: 9830.0, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 20709376. Throughput: 0: 7111.1. Samples: 20709376. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:55:10,513][186392] Avg episode reward: [(0, '11919.650')] +[2026-06-06 18:55:10,520][187720] Saving new best policy, reward=11919.650! +[2026-06-06 18:55:14,445][187799] Updated weights for policy 0, policy_version 40480 (0.0019) +[2026-06-06 18:55:15,510][186392] Fps is (10 sec: 8192.0, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 20742144. Throughput: 0: 7042.8. Samples: 20731904. Policy #0 lag: (min: 12.0, avg: 15.4, max: 76.0) +[2026-06-06 18:55:15,513][186392] Avg episode reward: [(0, '12327.850')] +[2026-06-06 18:55:15,520][187720] Saving new best policy, reward=12327.850! +[2026-06-06 18:55:18,514][187720] Signal inference workers to stop experience collection... (1900 times) +[2026-06-06 18:55:18,546][187799] InferenceWorker_p0-w0: stopping experience collection (1900 times) +[2026-06-06 18:55:18,655][187720] Signal inference workers to resume experience collection... (1900 times) +[2026-06-06 18:55:18,656][187799] InferenceWorker_p0-w0: resuming experience collection (1900 times) +[2026-06-06 18:55:18,830][187799] Updated weights for policy 0, policy_version 40560 (0.0019) +[2026-06-06 18:55:20,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 20774912. Throughput: 0: 7099.7. Samples: 20776960. Policy #0 lag: (min: 12.0, avg: 15.4, max: 76.0) +[2026-06-06 18:55:20,511][186392] Avg episode reward: [(0, '12237.800')] +[2026-06-06 18:55:23,333][187799] Updated weights for policy 0, policy_version 40633 (0.0015) +[2026-06-06 18:55:25,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 20807680. Throughput: 0: 7145.2. Samples: 20821504. Policy #0 lag: (min: 12.0, avg: 15.4, max: 76.0) +[2026-06-06 18:55:25,511][186392] Avg episode reward: [(0, '12332.600')] +[2026-06-06 18:55:25,516][187720] Saving new best policy, reward=12332.600! +[2026-06-06 18:55:27,836][187799] Updated weights for policy 0, policy_version 40700 (0.0017) +[2026-06-06 18:55:30,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 20840448. Throughput: 0: 7179.4. Samples: 20843520. Policy #0 lag: (min: 12.0, avg: 15.4, max: 76.0) +[2026-06-06 18:55:30,511][186392] Avg episode reward: [(0, '12380.100')] +[2026-06-06 18:55:30,516][187720] Saving new best policy, reward=12380.100! +[2026-06-06 18:55:35,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 20873216. Throughput: 0: 7224.9. Samples: 20888064. Policy #0 lag: (min: 12.0, avg: 15.4, max: 76.0) +[2026-06-06 18:55:35,512][186392] Avg episode reward: [(0, '12285.650')] +[2026-06-06 18:55:36,142][187799] Updated weights for policy 0, policy_version 40785 (0.0018) +[2026-06-06 18:55:40,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7025.7). Total num frames: 20905984. Throughput: 0: 7281.8. Samples: 20932608. Policy #0 lag: (min: 12.0, avg: 15.4, max: 76.0) +[2026-06-06 18:55:40,511][186392] Avg episode reward: [(0, '12681.400')] +[2026-06-06 18:55:40,915][187720] Saving new best policy, reward=12681.400! +[2026-06-06 18:55:41,201][187799] Updated weights for policy 0, policy_version 40882 (0.0018) +[2026-06-06 18:55:45,510][186392] Fps is (10 sec: 9011.3, 60 sec: 7509.3, 300 sec: 7081.2). Total num frames: 20963328. Throughput: 0: 7338.7. Samples: 20954112. Policy #0 lag: (min: 11.0, avg: 14.6, max: 75.0) +[2026-06-06 18:55:45,512][186392] Avg episode reward: [(0, '12780.000')] +[2026-06-06 18:55:45,552][187799] Updated weights for policy 0, policy_version 40946 (0.0014) +[2026-06-06 18:55:45,759][187720] Saving new best policy, reward=12780.000! +[2026-06-06 18:55:50,137][187799] Updated weights for policy 0, policy_version 41024 (0.0017) +[2026-06-06 18:55:50,510][186392] Fps is (10 sec: 9830.4, 60 sec: 7645.9, 300 sec: 7109.0). Total num frames: 21004288. Throughput: 0: 7350.1. Samples: 20998656. Policy #0 lag: (min: 11.0, avg: 14.6, max: 75.0) +[2026-06-06 18:55:50,511][186392] Avg episode reward: [(0, '12940.050')] +[2026-06-06 18:55:50,516][187720] Saving new best policy, reward=12940.050! +[2026-06-06 18:55:55,510][186392] Fps is (10 sec: 7372.7, 60 sec: 7645.9, 300 sec: 7109.0). Total num frames: 21037056. Throughput: 0: 7361.5. Samples: 21040640. Policy #0 lag: (min: 11.0, avg: 14.6, max: 75.0) +[2026-06-06 18:55:55,512][186392] Avg episode reward: [(0, '12884.550')] +[2026-06-06 18:55:59,132][187799] Updated weights for policy 0, policy_version 41136 (0.0015) +[2026-06-06 18:56:00,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7645.8, 300 sec: 7109.0). Total num frames: 21069824. Throughput: 0: 7361.4. Samples: 21063168. Policy #0 lag: (min: 11.0, avg: 14.6, max: 75.0) +[2026-06-06 18:56:00,513][186392] Avg episode reward: [(0, '12573.400')] +[2026-06-06 18:56:03,745][187799] Updated weights for policy 0, policy_version 41205 (0.0020) +[2026-06-06 18:56:05,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7372.8, 300 sec: 7109.0). Total num frames: 21102592. Throughput: 0: 7304.5. Samples: 21105664. Policy #0 lag: (min: 11.0, avg: 14.6, max: 75.0) +[2026-06-06 18:56:05,511][186392] Avg episode reward: [(0, '12468.750')] +[2026-06-06 18:56:10,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.8, 300 sec: 7025.7). Total num frames: 21135360. Throughput: 0: 7281.7. Samples: 21149184. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-06 18:56:10,512][186392] Avg episode reward: [(0, '12572.550')] +[2026-06-06 18:56:12,104][187799] Updated weights for policy 0, policy_version 41296 (0.0016) +[2026-06-06 18:56:15,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6997.9). Total num frames: 21168128. Throughput: 0: 7304.5. Samples: 21172224. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-06 18:56:15,511][186392] Avg episode reward: [(0, '12402.750')] +[2026-06-06 18:56:16,812][187799] Updated weights for policy 0, policy_version 41392 (0.0019) +[2026-06-06 18:56:20,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 6997.9). Total num frames: 21200896. Throughput: 0: 7304.5. Samples: 21216768. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-06 18:56:20,512][186392] Avg episode reward: [(0, '12411.550')] +[2026-06-06 18:56:21,518][187799] Updated weights for policy 0, policy_version 41472 (0.0012) +[2026-06-06 18:56:25,511][186392] Fps is (10 sec: 7372.6, 60 sec: 7236.2, 300 sec: 7025.7). Total num frames: 21241856. Throughput: 0: 7327.3. Samples: 21262336. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-06 18:56:25,512][186392] Avg episode reward: [(0, '12421.850')] +[2026-06-06 18:56:30,393][187799] Updated weights for policy 0, policy_version 41584 (0.0019) +[2026-06-06 18:56:30,510][186392] Fps is (10 sec: 9011.3, 60 sec: 7509.3, 300 sec: 7081.2). Total num frames: 21291008. Throughput: 0: 7304.5. Samples: 21282816. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-06 18:56:30,511][186392] Avg episode reward: [(0, '12624.750')] +[2026-06-06 18:56:34,319][187720] Signal inference workers to stop experience collection... (1950 times) +[2026-06-06 18:56:34,346][187799] InferenceWorker_p0-w0: stopping experience collection (1950 times) +[2026-06-06 18:56:34,523][187720] Signal inference workers to resume experience collection... (1950 times) +[2026-06-06 18:56:34,525][187799] InferenceWorker_p0-w0: resuming experience collection (1950 times) +[2026-06-06 18:56:35,026][187799] Updated weights for policy 0, policy_version 41650 (0.0017) +[2026-06-06 18:56:35,511][186392] Fps is (10 sec: 9011.1, 60 sec: 7645.8, 300 sec: 7109.0). Total num frames: 21331968. Throughput: 0: 7315.9. Samples: 21327872. Policy #0 lag: (min: 13.0, avg: 16.9, max: 77.0) +[2026-06-06 18:56:35,512][186392] Avg episode reward: [(0, '12527.650')] +[2026-06-06 18:56:39,501][187799] Updated weights for policy 0, policy_version 41726 (0.0014) +[2026-06-06 18:56:40,510][186392] Fps is (10 sec: 7372.8, 60 sec: 7645.9, 300 sec: 7109.0). Total num frames: 21364736. Throughput: 0: 7315.9. Samples: 21369856. Policy #0 lag: (min: 13.0, avg: 16.9, max: 77.0) +[2026-06-06 18:56:40,512][186392] Avg episode reward: [(0, '12760.350')] +[2026-06-06 18:56:45,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7236.3, 300 sec: 7109.0). Total num frames: 21397504. Throughput: 0: 7304.5. Samples: 21391872. Policy #0 lag: (min: 13.0, avg: 16.9, max: 77.0) +[2026-06-06 18:56:45,511][186392] Avg episode reward: [(0, '12814.100')] +[2026-06-06 18:56:48,259][187799] Updated weights for policy 0, policy_version 41795 (0.0014) +[2026-06-06 18:56:50,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 21430272. Throughput: 0: 7270.4. Samples: 21432832. Policy #0 lag: (min: 13.0, avg: 16.9, max: 77.0) +[2026-06-06 18:56:50,511][186392] Avg episode reward: [(0, '12877.050')] +[2026-06-06 18:56:52,928][187799] Updated weights for policy 0, policy_version 41888 (0.0014) +[2026-06-06 18:56:55,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 21463040. Throughput: 0: 7293.2. Samples: 21477376. Policy #0 lag: (min: 13.0, avg: 16.9, max: 77.0) +[2026-06-06 18:56:55,511][186392] Avg episode reward: [(0, '13034.900')] +[2026-06-06 18:56:55,516][187720] Saving new best policy, reward=13034.900! +[2026-06-06 18:56:57,712][187799] Updated weights for policy 0, policy_version 41976 (0.0016) +[2026-06-06 18:57:00,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 21495808. Throughput: 0: 7259.0. Samples: 21498880. Policy #0 lag: (min: 13.0, avg: 16.9, max: 77.0) +[2026-06-06 18:57:00,512][186392] Avg episode reward: [(0, '13197.550')] +[2026-06-06 18:57:00,517][187720] Saving new best policy, reward=13197.550! +[2026-06-06 18:57:02,468][187799] Updated weights for policy 0, policy_version 42048 (0.0017) +[2026-06-06 18:57:05,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 21528576. Throughput: 0: 7236.3. Samples: 21542400. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:57:05,512][186392] Avg episode reward: [(0, '13191.500')] +[2026-06-06 18:57:10,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7025.7). Total num frames: 21561344. Throughput: 0: 7190.8. Samples: 21585920. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:57:10,512][186392] Avg episode reward: [(0, '13202.550')] +[2026-06-06 18:57:10,518][187720] Saving new best policy, reward=13202.550! +[2026-06-06 18:57:11,062][187799] Updated weights for policy 0, policy_version 42128 (0.0016) +[2026-06-06 18:57:15,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 7025.7). Total num frames: 21594112. Throughput: 0: 7190.7. Samples: 21606400. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:57:15,511][186392] Avg episode reward: [(0, '13278.100')] +[2026-06-06 18:57:15,711][187720] Saving new best policy, reward=13278.100! +[2026-06-06 18:57:15,924][187799] Updated weights for policy 0, policy_version 42224 (0.0016) +[2026-06-06 18:57:20,459][187799] Updated weights for policy 0, policy_version 42295 (0.0013) +[2026-06-06 18:57:20,510][186392] Fps is (10 sec: 9011.3, 60 sec: 7509.4, 300 sec: 7081.2). Total num frames: 21651456. Throughput: 0: 7190.8. Samples: 21651456. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:57:20,511][186392] Avg episode reward: [(0, '13924.750')] +[2026-06-06 18:57:20,538][187720] Saving new best policy, reward=13924.750! +[2026-06-06 18:57:24,753][187799] Updated weights for policy 0, policy_version 42368 (0.0016) +[2026-06-06 18:57:25,510][186392] Fps is (10 sec: 9830.3, 60 sec: 7509.3, 300 sec: 7109.0). Total num frames: 21692416. Throughput: 0: 7259.0. Samples: 21696512. Policy #0 lag: (min: 15.0, avg: 17.9, max: 79.0) +[2026-06-06 18:57:25,513][186392] Avg episode reward: [(0, '13845.850')] +[2026-06-06 18:57:30,511][186392] Fps is (10 sec: 7372.4, 60 sec: 7236.2, 300 sec: 7109.0). Total num frames: 21725184. Throughput: 0: 7327.2. Samples: 21721600. Policy #0 lag: (min: 18.0, avg: 21.8, max: 82.0) +[2026-06-06 18:57:30,513][186392] Avg episode reward: [(0, '14125.450')] +[2026-06-06 18:57:30,518][187720] Saving new best policy, reward=14125.450! +[2026-06-06 18:57:32,856][187799] Updated weights for policy 0, policy_version 42466 (0.0017) +[2026-06-06 18:57:35,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.8, 300 sec: 7109.0). Total num frames: 21757952. Throughput: 0: 7395.5. Samples: 21765632. Policy #0 lag: (min: 18.0, avg: 21.8, max: 82.0) +[2026-06-06 18:57:35,512][186392] Avg episode reward: [(0, '14079.450')] +[2026-06-06 18:57:37,407][187799] Updated weights for policy 0, policy_version 42554 (0.0017) +[2026-06-06 18:57:40,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.7, 300 sec: 7109.0). Total num frames: 21790720. Throughput: 0: 7452.4. Samples: 21812736. Policy #0 lag: (min: 18.0, avg: 21.8, max: 82.0) +[2026-06-06 18:57:40,512][186392] Avg episode reward: [(0, '13919.750')] +[2026-06-06 18:57:41,828][187799] Updated weights for policy 0, policy_version 42624 (0.0017) +[2026-06-06 18:57:45,511][186392] Fps is (10 sec: 7372.7, 60 sec: 7236.2, 300 sec: 7136.8). Total num frames: 21831680. Throughput: 0: 7463.8. Samples: 21834752. Policy #0 lag: (min: 18.0, avg: 21.8, max: 82.0) +[2026-06-06 18:57:45,512][186392] Avg episode reward: [(0, '14260.650')] +[2026-06-06 18:57:45,573][187720] Signal inference workers to stop experience collection... (2000 times) +[2026-06-06 18:57:45,605][187799] InferenceWorker_p0-w0: stopping experience collection (2000 times) +[2026-06-06 18:57:45,755][187720] Saving new best policy, reward=14260.650! +[2026-06-06 18:57:45,756][187720] Signal inference workers to resume experience collection... (2000 times) +[2026-06-06 18:57:45,758][187799] InferenceWorker_p0-w0: resuming experience collection (2000 times) +[2026-06-06 18:57:49,490][187799] Updated weights for policy 0, policy_version 42704 (0.0015) +[2026-06-06 18:57:50,510][186392] Fps is (10 sec: 9830.8, 60 sec: 7645.9, 300 sec: 7220.1). Total num frames: 21889024. Throughput: 0: 7566.3. Samples: 21882880. Policy #0 lag: (min: 18.0, avg: 21.8, max: 82.0) +[2026-06-06 18:57:50,511][186392] Avg episode reward: [(0, '14228.700')] +[2026-06-06 18:57:53,801][187799] Updated weights for policy 0, policy_version 42784 (0.0014) +[2026-06-06 18:57:55,510][186392] Fps is (10 sec: 9011.5, 60 sec: 7645.9, 300 sec: 7220.1). Total num frames: 21921792. Throughput: 0: 7645.9. Samples: 21929984. Policy #0 lag: (min: 18.0, avg: 21.8, max: 82.0) +[2026-06-06 18:57:55,511][186392] Avg episode reward: [(0, '14050.950')] +[2026-06-06 18:57:58,342][187799] Updated weights for policy 0, policy_version 42864 (0.0015) +[2026-06-06 18:58:00,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7645.9, 300 sec: 7220.1). Total num frames: 21954560. Throughput: 0: 7736.9. Samples: 21954560. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-06 18:58:00,512][186392] Avg episode reward: [(0, '14221.150')] +[2026-06-06 18:58:02,574][187799] Updated weights for policy 0, policy_version 42937 (0.0015) +[2026-06-06 18:58:05,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7645.9, 300 sec: 7220.1). Total num frames: 21987328. Throughput: 0: 7748.3. Samples: 22000128. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-06 18:58:05,512][186392] Avg episode reward: [(0, '14050.200')] +[2026-06-06 18:58:06,956][187799] Updated weights for policy 0, policy_version 43008 (0.0015) +[2026-06-06 18:58:10,510][186392] Fps is (10 sec: 7372.7, 60 sec: 7782.4, 300 sec: 7247.8). Total num frames: 22028288. Throughput: 0: 7805.2. Samples: 22047744. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-06 18:58:10,511][186392] Avg episode reward: [(0, '14509.000')] +[2026-06-06 18:58:10,776][187720] Saving new best policy, reward=14509.000! +[2026-06-06 18:58:14,980][187799] Updated weights for policy 0, policy_version 43104 (0.0014) +[2026-06-06 18:58:15,510][186392] Fps is (10 sec: 9830.4, 60 sec: 8192.0, 300 sec: 7331.1). Total num frames: 22085632. Throughput: 0: 7725.6. Samples: 22069248. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-06 18:58:15,512][186392] Avg episode reward: [(0, '14080.050')] +[2026-06-06 18:58:19,210][187799] Updated weights for policy 0, policy_version 43187 (0.0015) +[2026-06-06 18:58:20,510][186392] Fps is (10 sec: 9011.2, 60 sec: 7782.4, 300 sec: 7275.6). Total num frames: 22118400. Throughput: 0: 7850.7. Samples: 22118912. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-06 18:58:20,511][186392] Avg episode reward: [(0, '14033.000')] +[2026-06-06 18:58:23,886][187799] Updated weights for policy 0, policy_version 43262 (0.0016) +[2026-06-06 18:58:25,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7645.9, 300 sec: 7275.6). Total num frames: 22151168. Throughput: 0: 7759.7. Samples: 22161920. Policy #0 lag: (min: 15.0, avg: 18.4, max: 79.0) +[2026-06-06 18:58:25,512][186392] Avg episode reward: [(0, '14126.400')] +[2026-06-06 18:58:28,472][187799] Updated weights for policy 0, policy_version 43327 (0.0015) +[2026-06-06 18:58:30,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7645.9, 300 sec: 7303.4). Total num frames: 22183936. Throughput: 0: 7793.8. Samples: 22185472. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 18:58:30,511][186392] Avg episode reward: [(0, '14325.500')] +[2026-06-06 18:58:35,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7645.9, 300 sec: 7275.6). Total num frames: 22216704. Throughput: 0: 7611.7. Samples: 22225408. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 18:58:35,511][186392] Avg episode reward: [(0, '14485.100')] +[2026-06-06 18:58:36,970][187799] Updated weights for policy 0, policy_version 43408 (0.0015) +[2026-06-06 18:58:40,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7645.9, 300 sec: 7275.6). Total num frames: 22249472. Throughput: 0: 7554.8. Samples: 22269952. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 18:58:40,512][186392] Avg episode reward: [(0, '14749.600')] +[2026-06-06 18:58:40,518][187720] Saving new best policy, reward=14749.600! +[2026-06-06 18:58:41,764][187799] Updated weights for policy 0, policy_version 43488 (0.0015) +[2026-06-06 18:58:45,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7509.4, 300 sec: 7275.6). Total num frames: 22282240. Throughput: 0: 7475.2. Samples: 22290944. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 18:58:45,511][186392] Avg episode reward: [(0, '14022.250')] +[2026-06-06 18:58:46,177][187799] Updated weights for policy 0, policy_version 43570 (0.0016) +[2026-06-06 18:58:50,510][186392] Fps is (10 sec: 9011.1, 60 sec: 7509.3, 300 sec: 7358.9). Total num frames: 22339584. Throughput: 0: 7497.9. Samples: 22337536. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 18:58:50,512][186392] Avg episode reward: [(0, '14248.450')] +[2026-06-06 18:58:50,644][187799] Updated weights for policy 0, policy_version 43645 (0.0016) +[2026-06-06 18:58:55,510][186392] Fps is (10 sec: 9830.4, 60 sec: 7645.9, 300 sec: 7386.7). Total num frames: 22380544. Throughput: 0: 7418.3. Samples: 22381568. Policy #0 lag: (min: 63.0, avg: 66.6, max: 127.0) +[2026-06-06 18:58:55,513][186392] Avg episode reward: [(0, '14128.750')] +[2026-06-06 18:58:59,192][187720] Signal inference workers to stop experience collection... (2050 times) +[2026-06-06 18:58:59,226][187799] InferenceWorker_p0-w0: stopping experience collection (2050 times) +[2026-06-06 18:58:59,353][187720] Signal inference workers to resume experience collection... (2050 times) +[2026-06-06 18:58:59,353][187799] InferenceWorker_p0-w0: resuming experience collection (2050 times) +[2026-06-06 18:58:59,356][187799] Updated weights for policy 0, policy_version 43744 (0.0018) +[2026-06-06 18:59:00,510][186392] Fps is (10 sec: 7372.9, 60 sec: 7645.9, 300 sec: 7358.9). Total num frames: 22413312. Throughput: 0: 7418.3. Samples: 22403072. Policy #0 lag: (min: 63.0, avg: 66.6, max: 127.0) +[2026-06-06 18:59:00,512][186392] Avg episode reward: [(0, '14134.600')] +[2026-06-06 18:59:04,083][187799] Updated weights for policy 0, policy_version 43810 (0.0013) +[2026-06-06 18:59:05,511][186392] Fps is (10 sec: 6553.3, 60 sec: 7645.8, 300 sec: 7331.1). Total num frames: 22446080. Throughput: 0: 7281.7. Samples: 22446592. Policy #0 lag: (min: 63.0, avg: 66.6, max: 127.0) +[2026-06-06 18:59:05,512][186392] Avg episode reward: [(0, '13826.250')] +[2026-06-06 18:59:08,789][187799] Updated weights for policy 0, policy_version 43896 (0.0014) +[2026-06-06 18:59:10,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7509.3, 300 sec: 7331.1). Total num frames: 22478848. Throughput: 0: 7270.4. Samples: 22489088. Policy #0 lag: (min: 63.0, avg: 66.6, max: 127.0) +[2026-06-06 18:59:10,512][186392] Avg episode reward: [(0, '13771.100')] +[2026-06-06 18:59:13,484][187799] Updated weights for policy 0, policy_version 43968 (0.0016) +[2026-06-06 18:59:15,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.7, 300 sec: 7331.1). Total num frames: 22511616. Throughput: 0: 7259.0. Samples: 22512128. Policy #0 lag: (min: 63.0, avg: 66.6, max: 127.0) +[2026-06-06 18:59:15,512][186392] Avg episode reward: [(0, '13827.850')] +[2026-06-06 18:59:20,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7331.1). Total num frames: 22544384. Throughput: 0: 7315.9. Samples: 22554624. Policy #0 lag: (min: 63.0, avg: 66.6, max: 127.0) +[2026-06-06 18:59:20,512][186392] Avg episode reward: [(0, '14122.150')] +[2026-06-06 18:59:21,929][187799] Updated weights for policy 0, policy_version 44080 (0.0018) +[2026-06-06 18:59:25,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 7331.1). Total num frames: 22577152. Throughput: 0: 7350.1. Samples: 22600704. Policy #0 lag: (min: 63.0, avg: 66.6, max: 127.0) +[2026-06-06 18:59:25,511][186392] Avg episode reward: [(0, '14374.400')] +[2026-06-06 18:59:26,714][187799] Updated weights for policy 0, policy_version 44155 (0.0017) +[2026-06-06 18:59:30,510][186392] Fps is (10 sec: 7373.0, 60 sec: 7236.3, 300 sec: 7358.9). Total num frames: 22618112. Throughput: 0: 7350.0. Samples: 22621696. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:59:30,511][186392] Avg episode reward: [(0, '14321.700')] +[2026-06-06 18:59:35,186][187799] Updated weights for policy 0, policy_version 44240 (0.0020) +[2026-06-06 18:59:35,510][186392] Fps is (10 sec: 9011.1, 60 sec: 7509.3, 300 sec: 7414.4). Total num frames: 22667264. Throughput: 0: 7304.6. Samples: 22666240. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:59:35,513][186392] Avg episode reward: [(0, '14279.650')] +[2026-06-06 18:59:40,049][187799] Updated weights for policy 0, policy_version 44336 (0.0013) +[2026-06-06 18:59:40,510][186392] Fps is (10 sec: 9011.3, 60 sec: 7645.9, 300 sec: 7442.2). Total num frames: 22708224. Throughput: 0: 7270.4. Samples: 22708736. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:59:40,511][186392] Avg episode reward: [(0, '14494.850')] +[2026-06-06 18:59:44,679][187799] Updated weights for policy 0, policy_version 44409 (0.0016) +[2026-06-06 18:59:45,510][186392] Fps is (10 sec: 7372.8, 60 sec: 7645.9, 300 sec: 7442.2). Total num frames: 22740992. Throughput: 0: 7304.5. Samples: 22731776. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:59:45,511][186392] Avg episode reward: [(0, '14620.000')] +[2026-06-06 18:59:49,149][187799] Updated weights for policy 0, policy_version 44479 (0.0017) +[2026-06-06 18:59:50,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7236.3, 300 sec: 7442.2). Total num frames: 22773760. Throughput: 0: 7304.6. Samples: 22775296. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:59:50,511][186392] Avg episode reward: [(0, '15091.150')] +[2026-06-06 18:59:50,514][187720] Saving new best policy, reward=15091.150! +[2026-06-06 18:59:53,699][187799] Updated weights for policy 0, policy_version 44544 (0.0017) +[2026-06-06 18:59:55,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7442.2). Total num frames: 22806528. Throughput: 0: 7350.1. Samples: 22819840. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 18:59:55,511][186392] Avg episode reward: [(0, '14683.400')] +[2026-06-06 18:59:58,123][187799] Updated weights for policy 0, policy_version 44607 (0.0018) +[2026-06-06 19:00:00,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7386.7). Total num frames: 22839296. Throughput: 0: 7338.7. Samples: 22842368. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-06 19:00:00,512][186392] Avg episode reward: [(0, '15191.700')] +[2026-06-06 19:00:00,517][187720] Saving new best policy, reward=15191.700! +[2026-06-06 19:00:05,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.8, 300 sec: 7331.2). Total num frames: 22872064. Throughput: 0: 7384.2. Samples: 22886912. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-06 19:00:05,512][186392] Avg episode reward: [(0, '15474.000')] +[2026-06-06 19:00:05,516][187720] Saving new best policy, reward=15474.000! +[2026-06-06 19:00:05,905][187799] Updated weights for policy 0, policy_version 44673 (0.0014) +[2026-06-06 19:00:10,510][186392] Fps is (10 sec: 7372.8, 60 sec: 7236.3, 300 sec: 7358.9). Total num frames: 22913024. Throughput: 0: 7372.8. Samples: 22932480. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-06 19:00:10,512][186392] Avg episode reward: [(0, '15301.850')] +[2026-06-06 19:00:10,631][187799] Updated weights for policy 0, policy_version 44768 (0.0013) +[2026-06-06 19:00:14,458][187720] Signal inference workers to stop experience collection... (2100 times) +[2026-06-06 19:00:14,511][187799] InferenceWorker_p0-w0: stopping experience collection (2100 times) +[2026-06-06 19:00:14,659][187720] Signal inference workers to resume experience collection... (2100 times) +[2026-06-06 19:00:14,660][187799] InferenceWorker_p0-w0: resuming experience collection (2100 times) +[2026-06-06 19:00:14,848][187799] Updated weights for policy 0, policy_version 44833 (0.0011) +[2026-06-06 19:00:15,510][186392] Fps is (10 sec: 9830.5, 60 sec: 7645.9, 300 sec: 7442.2). Total num frames: 22970368. Throughput: 0: 7418.3. Samples: 22955520. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-06 19:00:15,512][186392] Avg episode reward: [(0, '15378.450')] +[2026-06-06 19:00:19,466][187799] Updated weights for policy 0, policy_version 44921 (0.0017) +[2026-06-06 19:00:20,510][186392] Fps is (10 sec: 9011.3, 60 sec: 7645.9, 300 sec: 7442.2). Total num frames: 23003136. Throughput: 0: 7486.6. Samples: 23003136. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-06 19:00:20,511][186392] Avg episode reward: [(0, '15034.250')] +[2026-06-06 19:00:25,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7645.9, 300 sec: 7442.2). Total num frames: 23035904. Throughput: 0: 7509.3. Samples: 23046656. Policy #0 lag: (min: 15.0, avg: 19.1, max: 79.0) +[2026-06-06 19:00:25,511][186392] Avg episode reward: [(0, '14920.300')] +[2026-06-06 19:00:27,942][187799] Updated weights for policy 0, policy_version 45008 (0.0016) +[2026-06-06 19:00:30,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7509.3, 300 sec: 7442.2). Total num frames: 23068672. Throughput: 0: 7486.6. Samples: 23068672. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-06 19:00:30,511][186392] Avg episode reward: [(0, '15151.300')] +[2026-06-06 19:00:32,747][187799] Updated weights for policy 0, policy_version 45089 (0.0015) +[2026-06-06 19:00:35,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7236.2, 300 sec: 7442.2). Total num frames: 23101440. Throughput: 0: 7429.7. Samples: 23109632. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-06 19:00:35,512][186392] Avg episode reward: [(0, '15139.150')] +[2026-06-06 19:00:37,804][187799] Updated weights for policy 0, policy_version 45175 (0.0016) +[2026-06-06 19:00:40,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7358.9). Total num frames: 23134208. Throughput: 0: 7384.2. Samples: 23152128. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-06 19:00:40,512][186392] Avg episode reward: [(0, '15025.400')] +[2026-06-06 19:00:42,493][187799] Updated weights for policy 0, policy_version 45248 (0.0016) +[2026-06-06 19:00:45,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7331.1). Total num frames: 23166976. Throughput: 0: 7338.7. Samples: 23172608. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-06 19:00:45,512][186392] Avg episode reward: [(0, '14848.150')] +[2026-06-06 19:00:50,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7331.1). Total num frames: 23199744. Throughput: 0: 7293.1. Samples: 23215104. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-06 19:00:50,513][186392] Avg episode reward: [(0, '14547.900')] +[2026-06-06 19:00:51,778][187799] Updated weights for policy 0, policy_version 45360 (0.0020) +[2026-06-06 19:00:55,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.8, 300 sec: 7331.2). Total num frames: 23232512. Throughput: 0: 7202.2. Samples: 23256576. Policy #0 lag: (min: 15.0, avg: 18.5, max: 79.0) +[2026-06-06 19:00:55,511][186392] Avg episode reward: [(0, '14519.950')] +[2026-06-06 19:00:56,829][187799] Updated weights for policy 0, policy_version 45435 (0.0017) +[2026-06-06 19:01:00,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7331.1). Total num frames: 23265280. Throughput: 0: 7099.7. Samples: 23275008. Policy #0 lag: (min: 31.0, avg: 33.9, max: 95.0) +[2026-06-06 19:01:00,512][186392] Avg episode reward: [(0, '14503.700')] +[2026-06-06 19:01:01,650][187799] Updated weights for policy 0, policy_version 45504 (0.0017) +[2026-06-06 19:01:05,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.8, 300 sec: 7331.2). Total num frames: 23298048. Throughput: 0: 6974.6. Samples: 23316992. Policy #0 lag: (min: 31.0, avg: 33.9, max: 95.0) +[2026-06-06 19:01:05,511][186392] Avg episode reward: [(0, '14221.850')] +[2026-06-06 19:01:10,510][186392] Fps is (10 sec: 7372.9, 60 sec: 7099.7, 300 sec: 7358.9). Total num frames: 23339008. Throughput: 0: 6974.6. Samples: 23360512. Policy #0 lag: (min: 31.0, avg: 33.9, max: 95.0) +[2026-06-06 19:01:10,511][186392] Avg episode reward: [(0, '14170.950')] +[2026-06-06 19:01:10,548][187799] Updated weights for policy 0, policy_version 45600 (0.0015) +[2026-06-06 19:01:15,190][187799] Updated weights for policy 0, policy_version 45681 (0.0017) +[2026-06-06 19:01:15,510][186392] Fps is (10 sec: 9830.3, 60 sec: 7099.7, 300 sec: 7442.2). Total num frames: 23396352. Throughput: 0: 6940.4. Samples: 23380992. Policy #0 lag: (min: 31.0, avg: 33.9, max: 95.0) +[2026-06-06 19:01:15,512][186392] Avg episode reward: [(0, '14057.200')] +[2026-06-06 19:01:20,020][187799] Updated weights for policy 0, policy_version 45754 (0.0019) +[2026-06-06 19:01:20,510][186392] Fps is (10 sec: 9011.2, 60 sec: 7099.7, 300 sec: 7414.5). Total num frames: 23429120. Throughput: 0: 7008.7. Samples: 23425024. Policy #0 lag: (min: 31.0, avg: 33.9, max: 95.0) +[2026-06-06 19:01:20,512][186392] Avg episode reward: [(0, '14679.850')] +[2026-06-06 19:01:25,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7358.9). Total num frames: 23461888. Throughput: 0: 6974.6. Samples: 23465984. Policy #0 lag: (min: 31.0, avg: 33.9, max: 95.0) +[2026-06-06 19:01:25,512][186392] Avg episode reward: [(0, '15261.000')] +[2026-06-06 19:01:28,805][187799] Updated weights for policy 0, policy_version 45856 (0.0015) +[2026-06-06 19:01:28,804][187720] Signal inference workers to stop experience collection... (2150 times) +[2026-06-06 19:01:28,834][187799] InferenceWorker_p0-w0: stopping experience collection (2150 times) +[2026-06-06 19:01:28,957][187720] Signal inference workers to resume experience collection... (2150 times) +[2026-06-06 19:01:28,957][187799] InferenceWorker_p0-w0: resuming experience collection (2150 times) +[2026-06-06 19:01:30,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7331.1). Total num frames: 23494656. Throughput: 0: 7065.6. Samples: 23490560. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 19:01:30,512][186392] Avg episode reward: [(0, '14964.750')] +[2026-06-06 19:01:33,854][187799] Updated weights for policy 0, policy_version 45938 (0.0014) +[2026-06-06 19:01:35,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7331.1). Total num frames: 23527424. Throughput: 0: 6986.0. Samples: 23529472. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 19:01:35,512][186392] Avg episode reward: [(0, '15082.550')] +[2026-06-06 19:01:40,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.8, 300 sec: 7331.1). Total num frames: 23560192. Throughput: 0: 7042.8. Samples: 23573504. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 19:01:40,512][186392] Avg episode reward: [(0, '14883.350')] +[2026-06-06 19:01:42,468][187799] Updated weights for policy 0, policy_version 46032 (0.0023) +[2026-06-06 19:01:45,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7331.1). Total num frames: 23592960. Throughput: 0: 7088.4. Samples: 23593984. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 19:01:45,512][186392] Avg episode reward: [(0, '15088.450')] +[2026-06-06 19:01:47,397][187799] Updated weights for policy 0, policy_version 46128 (0.0015) +[2026-06-06 19:01:50,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.8, 300 sec: 7331.1). Total num frames: 23625728. Throughput: 0: 7122.5. Samples: 23637504. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 19:01:50,512][186392] Avg episode reward: [(0, '14910.300')] +[2026-06-06 19:01:52,225][187799] Updated weights for policy 0, policy_version 46199 (0.0014) +[2026-06-06 19:01:55,511][186392] Fps is (10 sec: 6553.4, 60 sec: 7099.7, 300 sec: 7331.1). Total num frames: 23658496. Throughput: 0: 7099.7. Samples: 23680000. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 19:01:55,513][186392] Avg episode reward: [(0, '15068.350')] +[2026-06-06 19:01:56,890][187799] Updated weights for policy 0, policy_version 46271 (0.0017) +[2026-06-06 19:02:00,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7331.1). Total num frames: 23691264. Throughput: 0: 7122.5. Samples: 23701504. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 19:02:00,512][186392] Avg episode reward: [(0, '15808.900')] +[2026-06-06 19:02:00,519][187720] Saving new best policy, reward=15808.900! +[2026-06-06 19:02:05,445][187799] Updated weights for policy 0, policy_version 46370 (0.0019) +[2026-06-06 19:02:05,510][186392] Fps is (10 sec: 8192.3, 60 sec: 7372.8, 300 sec: 7386.7). Total num frames: 23740416. Throughput: 0: 7168.0. Samples: 23747584. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-06 19:02:05,512][186392] Avg episode reward: [(0, '16208.300')] +[2026-06-06 19:02:05,781][187720] Saving new best policy, reward=16208.300! +[2026-06-06 19:02:09,914][187799] Updated weights for policy 0, policy_version 46458 (0.0016) +[2026-06-06 19:02:10,510][186392] Fps is (10 sec: 9830.4, 60 sec: 7509.3, 300 sec: 7442.2). Total num frames: 23789568. Throughput: 0: 7236.3. Samples: 23791616. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-06 19:02:10,512][186392] Avg episode reward: [(0, '16353.800')] +[2026-06-06 19:02:10,517][187720] Saving new best policy, reward=16353.800! +[2026-06-06 19:02:15,510][186392] Fps is (10 sec: 8192.0, 60 sec: 7099.7, 300 sec: 7358.9). Total num frames: 23822336. Throughput: 0: 7236.3. Samples: 23816192. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-06 19:02:15,511][186392] Avg episode reward: [(0, '16609.700')] +[2026-06-06 19:02:15,518][187720] Saving new best policy, reward=16609.700! +[2026-06-06 19:02:17,674][187799] Updated weights for policy 0, policy_version 46544 (0.0017) +[2026-06-06 19:02:20,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7331.1). Total num frames: 23855104. Throughput: 0: 7384.2. Samples: 23861760. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-06 19:02:20,512][186392] Avg episode reward: [(0, '17183.700')] +[2026-06-06 19:02:20,517][187720] Saving new best policy, reward=17183.700! +[2026-06-06 19:02:22,319][187799] Updated weights for policy 0, policy_version 46626 (0.0014) +[2026-06-06 19:02:25,511][186392] Fps is (10 sec: 6553.4, 60 sec: 7099.7, 300 sec: 7331.2). Total num frames: 23887872. Throughput: 0: 7463.8. Samples: 23909376. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-06 19:02:25,513][186392] Avg episode reward: [(0, '17441.000')] +[2026-06-06 19:02:25,522][187720] Saving new best policy, reward=17441.000! +[2026-06-06 19:02:26,880][187799] Updated weights for policy 0, policy_version 46711 (0.0013) +[2026-06-06 19:02:30,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.8, 300 sec: 7331.2). Total num frames: 23920640. Throughput: 0: 7486.6. Samples: 23930880. Policy #0 lag: (min: 15.0, avg: 19.6, max: 79.0) +[2026-06-06 19:02:30,511][186392] Avg episode reward: [(0, '17162.350')] +[2026-06-06 19:02:31,572][187799] Updated weights for policy 0, policy_version 46784 (0.0013) +[2026-06-06 19:02:35,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.8, 300 sec: 7331.2). Total num frames: 23953408. Throughput: 0: 7475.2. Samples: 23973888. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 19:02:35,513][186392] Avg episode reward: [(0, '17236.950')] +[2026-06-06 19:02:40,302][187799] Updated weights for policy 0, policy_version 46880 (0.0016) +[2026-06-06 19:02:40,510][186392] Fps is (10 sec: 9011.1, 60 sec: 7509.3, 300 sec: 7386.7). Total num frames: 24010752. Throughput: 0: 7486.6. Samples: 24016896. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 19:02:40,512][186392] Avg episode reward: [(0, '17246.300')] +[2026-06-06 19:02:44,315][187720] Signal inference workers to stop experience collection... (2200 times) +[2026-06-06 19:02:44,346][187799] InferenceWorker_p0-w0: stopping experience collection (2200 times) +[2026-06-06 19:02:44,527][187720] Signal inference workers to resume experience collection... (2200 times) +[2026-06-06 19:02:44,529][187799] InferenceWorker_p0-w0: resuming experience collection (2200 times) +[2026-06-06 19:02:44,786][187799] Updated weights for policy 0, policy_version 46964 (0.0017) +[2026-06-06 19:02:45,511][186392] Fps is (10 sec: 9830.2, 60 sec: 7645.9, 300 sec: 7331.1). Total num frames: 24051712. Throughput: 0: 7509.3. Samples: 24039424. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 19:02:45,512][186392] Avg episode reward: [(0, '17549.050')] +[2026-06-06 19:02:45,519][187720] Saving new best policy, reward=17549.050! +[2026-06-06 19:02:49,086][187799] Updated weights for policy 0, policy_version 47040 (0.0018) +[2026-06-06 19:02:50,510][186392] Fps is (10 sec: 7372.8, 60 sec: 7645.9, 300 sec: 7331.1). Total num frames: 24084480. Throughput: 0: 7520.7. Samples: 24086016. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 19:02:50,511][186392] Avg episode reward: [(0, '17489.550')] +[2026-06-06 19:02:55,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7645.9, 300 sec: 7331.1). Total num frames: 24117248. Throughput: 0: 7577.6. Samples: 24132608. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 19:02:55,511][186392] Avg episode reward: [(0, '17969.650')] +[2026-06-06 19:02:55,518][187720] Saving new best policy, reward=17969.650! +[2026-06-06 19:02:57,332][187799] Updated weights for policy 0, policy_version 47136 (0.0017) +[2026-06-06 19:03:00,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7645.9, 300 sec: 7331.1). Total num frames: 24150016. Throughput: 0: 7498.0. Samples: 24153600. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 19:03:00,511][186392] Avg episode reward: [(0, '17678.150')] +[2026-06-06 19:03:02,310][187799] Updated weights for policy 0, policy_version 47225 (0.0016) +[2026-06-06 19:03:05,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7372.8, 300 sec: 7303.4). Total num frames: 24182784. Throughput: 0: 7475.2. Samples: 24198144. Policy #0 lag: (min: 12.0, avg: 15.7, max: 76.0) +[2026-06-06 19:03:05,512][186392] Avg episode reward: [(0, '17540.450')] +[2026-06-06 19:03:10,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7220.1). Total num frames: 24215552. Throughput: 0: 7429.8. Samples: 24243712. Policy #0 lag: (min: 12.0, avg: 15.7, max: 76.0) +[2026-06-06 19:03:10,511][186392] Avg episode reward: [(0, '17773.050')] +[2026-06-06 19:03:10,534][187799] Updated weights for policy 0, policy_version 47312 (0.0014) +[2026-06-06 19:03:15,498][187799] Updated weights for policy 0, policy_version 47416 (0.0013) +[2026-06-06 19:03:15,510][186392] Fps is (10 sec: 9011.2, 60 sec: 7509.3, 300 sec: 7303.4). Total num frames: 24272896. Throughput: 0: 7372.8. Samples: 24262656. Policy #0 lag: (min: 12.0, avg: 15.7, max: 76.0) +[2026-06-06 19:03:15,512][186392] Avg episode reward: [(0, '17575.300')] +[2026-06-06 19:03:20,511][186392] Fps is (10 sec: 9830.0, 60 sec: 7645.8, 300 sec: 7331.1). Total num frames: 24313856. Throughput: 0: 7429.6. Samples: 24308224. Policy #0 lag: (min: 12.0, avg: 15.7, max: 76.0) +[2026-06-06 19:03:20,514][186392] Avg episode reward: [(0, '17081.800')] +[2026-06-06 19:03:24,331][187799] Updated weights for policy 0, policy_version 47504 (0.0013) +[2026-06-06 19:03:25,510][186392] Fps is (10 sec: 7372.8, 60 sec: 7645.9, 300 sec: 7331.1). Total num frames: 24346624. Throughput: 0: 7372.8. Samples: 24348672. Policy #0 lag: (min: 12.0, avg: 15.7, max: 76.0) +[2026-06-06 19:03:25,512][186392] Avg episode reward: [(0, '17036.450')] +[2026-06-06 19:03:29,481][187799] Updated weights for policy 0, policy_version 47607 (0.0016) +[2026-06-06 19:03:30,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7645.8, 300 sec: 7331.1). Total num frames: 24379392. Throughput: 0: 7350.1. Samples: 24370176. Policy #0 lag: (min: 12.0, avg: 15.7, max: 76.0) +[2026-06-06 19:03:30,512][186392] Avg episode reward: [(0, '16854.750')] +[2026-06-06 19:03:33,955][187799] Updated weights for policy 0, policy_version 47680 (0.0013) +[2026-06-06 19:03:35,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7645.9, 300 sec: 7331.1). Total num frames: 24412160. Throughput: 0: 7293.2. Samples: 24414208. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 19:03:35,511][186392] Avg episode reward: [(0, '16974.700')] +[2026-06-06 19:03:40,510][186392] Fps is (10 sec: 6553.5, 60 sec: 7236.2, 300 sec: 7331.1). Total num frames: 24444928. Throughput: 0: 7236.2. Samples: 24458240. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 19:03:40,512][186392] Avg episode reward: [(0, '16992.400')] +[2026-06-06 19:03:40,521][187720] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride7_seed12/checkpoint_p0/checkpoint_000047744_24444928.pth... +[2026-06-06 19:03:40,563][187720] Removing results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride7_seed12/checkpoint_p0/checkpoint_000006720_3440640.pth +[2026-06-06 19:03:42,727][187799] Updated weights for policy 0, policy_version 47796 (0.0018) +[2026-06-06 19:03:45,511][186392] Fps is (10 sec: 6553.4, 60 sec: 7099.7, 300 sec: 7247.8). Total num frames: 24477696. Throughput: 0: 7247.6. Samples: 24479744. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 19:03:45,513][186392] Avg episode reward: [(0, '17131.300')] +[2026-06-06 19:03:47,538][187799] Updated weights for policy 0, policy_version 47872 (0.0016) +[2026-06-06 19:03:50,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7220.1). Total num frames: 24510464. Throughput: 0: 7213.5. Samples: 24522752. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 19:03:50,520][186392] Avg episode reward: [(0, '17155.400')] +[2026-06-06 19:03:55,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 7220.1). Total num frames: 24543232. Throughput: 0: 7190.7. Samples: 24567296. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 19:03:55,512][186392] Avg episode reward: [(0, '17322.150')] +[2026-06-06 19:03:56,553][187799] Updated weights for policy 0, policy_version 47988 (0.0018) +[2026-06-06 19:04:00,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.7, 300 sec: 7220.1). Total num frames: 24576000. Throughput: 0: 7168.0. Samples: 24585216. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 19:04:00,514][186392] Avg episode reward: [(0, '17624.250')] +[2026-06-06 19:04:00,613][187720] Signal inference workers to stop experience collection... (2250 times) +[2026-06-06 19:04:00,644][187799] InferenceWorker_p0-w0: stopping experience collection (2250 times) +[2026-06-06 19:04:00,818][187720] Signal inference workers to resume experience collection... (2250 times) +[2026-06-06 19:04:00,819][187799] InferenceWorker_p0-w0: resuming experience collection (2250 times) +[2026-06-06 19:04:05,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.7, 300 sec: 7220.1). Total num frames: 24608768. Throughput: 0: 7122.5. Samples: 24628736. Policy #0 lag: (min: 15.0, avg: 18.0, max: 79.0) +[2026-06-06 19:04:05,511][186392] Avg episode reward: [(0, '17321.150')] +[2026-06-06 19:04:05,532][187799] Updated weights for policy 0, policy_version 48080 (0.0016) +[2026-06-06 19:04:10,395][187799] Updated weights for policy 0, policy_version 48178 (0.0015) +[2026-06-06 19:04:10,510][186392] Fps is (10 sec: 9011.1, 60 sec: 7509.3, 300 sec: 7303.4). Total num frames: 24666112. Throughput: 0: 7213.5. Samples: 24673280. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 19:04:10,512][186392] Avg episode reward: [(0, '17469.550')] +[2026-06-06 19:04:15,150][187799] Updated weights for policy 0, policy_version 48256 (0.0019) +[2026-06-06 19:04:15,510][186392] Fps is (10 sec: 9830.4, 60 sec: 7236.3, 300 sec: 7331.1). Total num frames: 24707072. Throughput: 0: 7236.3. Samples: 24695808. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 19:04:15,512][186392] Avg episode reward: [(0, '17740.300')] +[2026-06-06 19:04:20,510][186392] Fps is (10 sec: 7372.9, 60 sec: 7099.8, 300 sec: 7331.1). Total num frames: 24739840. Throughput: 0: 7202.1. Samples: 24738304. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 19:04:20,512][186392] Avg episode reward: [(0, '17397.500')] +[2026-06-06 19:04:23,343][187799] Updated weights for policy 0, policy_version 48336 (0.0016) +[2026-06-06 19:04:25,510][186392] Fps is (10 sec: 6553.6, 60 sec: 7099.7, 300 sec: 7303.4). Total num frames: 24772608. Throughput: 0: 7179.4. Samples: 24781312. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 19:04:25,512][186392] Avg episode reward: [(0, '17694.050')] +[2026-06-06 19:04:28,359][187799] Updated weights for policy 0, policy_version 48432 (0.0016) +[2026-06-06 19:04:30,511][186392] Fps is (10 sec: 6553.5, 60 sec: 7099.7, 300 sec: 7247.8). Total num frames: 24805376. Throughput: 0: 7213.5. Samples: 24804352. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 19:04:30,514][186392] Avg episode reward: [(0, '17907.600')] +[2026-06-06 19:04:33,185][187799] Updated weights for policy 0, policy_version 48512 (0.0015) +[2026-06-06 19:04:35,511][186392] Fps is (10 sec: 6553.4, 60 sec: 7099.7, 300 sec: 7220.1). Total num frames: 24838144. Throughput: 0: 7156.6. Samples: 24844800. Policy #0 lag: (min: 15.0, avg: 17.8, max: 79.0) +[2026-06-06 19:04:35,512][186392] Avg episode reward: [(0, '18438.350')] +[2026-06-06 19:04:35,520][187720] Saving new best policy, reward=18438.350! +[2026-06-06 19:04:40,510][186392] Fps is (10 sec: 6553.8, 60 sec: 7099.8, 300 sec: 7220.1). Total num frames: 24870912. Throughput: 0: 7179.4. Samples: 24890368. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0) +[2026-06-06 19:04:40,511][186392] Avg episode reward: [(0, '18662.300')] +[2026-06-06 19:04:40,516][187720] Saving new best policy, reward=18662.300! +[2026-06-06 19:04:41,547][187799] Updated weights for policy 0, policy_version 48594 (0.0015) +[2026-06-06 19:04:45,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.8, 300 sec: 7220.1). Total num frames: 24903680. Throughput: 0: 7259.0. Samples: 24911872. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0) +[2026-06-06 19:04:45,511][186392] Avg episode reward: [(0, '18384.400')] +[2026-06-06 19:04:46,329][187799] Updated weights for policy 0, policy_version 48690 (0.0015) +[2026-06-06 19:04:50,510][186392] Fps is (10 sec: 6553.7, 60 sec: 7099.8, 300 sec: 7220.1). Total num frames: 24936448. Throughput: 0: 7293.2. Samples: 24956928. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0) +[2026-06-06 19:04:50,511][186392] Avg episode reward: [(0, '17948.550')] +[2026-06-06 19:04:51,316][187799] Updated weights for policy 0, policy_version 48767 (0.0015) +[2026-06-06 19:04:55,510][186392] Fps is (10 sec: 8192.0, 60 sec: 7372.8, 300 sec: 7275.6). Total num frames: 24985600. Throughput: 0: 7259.0. Samples: 24999936. Policy #0 lag: (min: 8.0, avg: 10.8, max: 72.0) +[2026-06-06 19:04:55,513][186392] Avg episode reward: [(0, '17866.550')] +[2026-06-06 19:04:55,984][187799] Updated weights for policy 0, policy_version 48832 (0.0018) +[2026-06-06 19:04:59,368][187720] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 +[2026-06-06 19:04:59,371][187720] Stopping Batcher_0... +[2026-06-06 19:04:59,371][187798] Stopping RolloutWorker_w0... +[2026-06-06 19:04:59,372][187798] Loop rollout_proc0_evt_loop terminating... +[2026-06-06 19:04:59,372][187720] Loop batcher_evt_loop terminating... +[2026-06-06 19:04:59,372][186392] Component RolloutWorker_w0 stopped! +[2026-06-06 19:04:59,373][186392] Component Batcher_0 stopped! +[2026-06-06 19:04:59,463][187720] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 +[2026-06-06 19:04:59,464][187720] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride7_seed12/checkpoint_p0/checkpoint_000048864_25018368.pth... +[2026-06-06 19:04:59,490][187799] Weights refcount: 2 0 +[2026-06-06 19:04:59,492][187799] Stopping InferenceWorker_p0-w0... +[2026-06-06 19:04:59,492][187799] Loop inference_proc0-0_evt_loop terminating... +[2026-06-06 19:04:59,492][186392] Component InferenceWorker_p0-w0 stopped! +[2026-06-06 19:04:59,496][187720] Removing results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride7_seed12/checkpoint_p0/checkpoint_000014528_7438336.pth +[2026-06-06 19:04:59,581][187720] Early stopping after 2 epochs (16 sgd steps), loss delta 0.0000000 +[2026-06-06 19:04:59,582][187720] Saving results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride7_seed12/checkpoint_p0/checkpoint_000048880_25026560.pth... +[2026-06-06 19:04:59,606][187720] Removing results/checkpoints_factor_sweeps/demon_attack/observation_stride/demon_attack_observation_stride_uniform_u2_6_stride7_seed12/checkpoint_p0/checkpoint_000022592_11567104.pth +[2026-06-06 19:04:59,610][187720] Stopping LearnerWorker_p0... +[2026-06-06 19:04:59,610][187720] Loop learner_proc0_evt_loop terminating... +[2026-06-06 19:04:59,610][186392] Component LearnerWorker_p0 stopped! +[2026-06-06 19:04:59,612][186392] Waiting for process learner_proc0 to stop... +[2026-06-06 19:05:01,743][186392] Waiting for process inference_proc0-0 to join... +[2026-06-06 19:05:01,745][186392] Waiting for process rollout_proc0 to join... +[2026-06-06 19:05:01,746][186392] Batcher 0 profile tree view: +batching: 2.1332, releasing_batches: 2.8016 +[2026-06-06 19:05:01,747][186392] InferenceWorker_p0-w0 profile tree view: +wait_policy: 0.0051 + wait_policy_total: 3111.5412 +update_model: 16.1110 + weight_update: 0.0018 +one_step: 0.0043 + handle_policy_step: 201.3672 + deserialize: 5.1158, stack: 0.1789, obs_to_device_normalize: 46.2117, forward: 102.2617, prepare_outputs: 30.8478, send_messages: 6.7062 +[2026-06-06 19:05:01,748][186392] Learner 0 profile tree view: +misc: 0.0231, prepare_batch: 65.9990 +train: 530.1417 + epoch_init: 0.1352, minibatch_init: 5.8747, losses_postprocess: 97.7719, kl_divergence: 97.5404, update: 203.6223, after_optimizer: 33.0638 + calculate_losses: 85.7379 + losses_init: 0.2146, forward_head: 30.8566, bptt_initial: 0.6054, bptt: 0.8094, tail: 20.6392, advantages_returns: 6.1459, losses: 21.2072 +[2026-06-06 19:05:01,748][186392] RolloutWorker_w0 profile tree view: +wait_for_trajectories: 0.0815, enqueue_policy_requests: 23.4764, process_policy_outputs: 10.2006, env_step: 3175.3807, finalize_trajectories: 0.2014, complete_rollouts: 0.1959 +post_env_step: 32.6837 + process_env_step: 11.4769 +[2026-06-06 19:05:01,750][186392] Loop Runner_EvtLoop terminating... +[2026-06-06 19:05:01,750][186392] Runner profile tree view: +main_loop: 3672.7885 +[2026-06-06 19:05:01,751][186392] Collected {0: 25026560}, FPS: 6814.0