[2023-02-24 15:06:37,628][00176] Saving configuration to /content/train_dir/default_experiment/config.json... [2023-02-24 15:06:37,633][00176] Rollout worker 0 uses device cpu [2023-02-24 15:06:37,636][00176] Rollout worker 1 uses device cpu [2023-02-24 15:06:37,639][00176] Rollout worker 2 uses device cpu [2023-02-24 15:06:37,642][00176] Rollout worker 3 uses device cpu [2023-02-24 15:06:37,643][00176] Rollout worker 4 uses device cpu [2023-02-24 15:06:37,645][00176] Rollout worker 5 uses device cpu [2023-02-24 15:06:37,651][00176] Rollout worker 6 uses device cpu [2023-02-24 15:06:37,653][00176] Rollout worker 7 uses device cpu [2023-02-24 15:06:37,969][00176] Using GPUs [0] for process 0 (actually maps to GPUs [0]) [2023-02-24 15:06:37,975][00176] InferenceWorker_p0-w0: min num requests: 2 [2023-02-24 15:06:38,022][00176] Starting all processes... [2023-02-24 15:06:38,040][00176] Starting process learner_proc0 [2023-02-24 15:06:38,128][00176] Starting all processes... [2023-02-24 15:06:38,151][00176] Starting process inference_proc0-0 [2023-02-24 15:06:38,152][00176] Starting process rollout_proc0 [2023-02-24 15:06:38,152][00176] Starting process rollout_proc1 [2023-02-24 15:06:38,152][00176] Starting process rollout_proc2 [2023-02-24 15:06:38,152][00176] Starting process rollout_proc3 [2023-02-24 15:06:38,152][00176] Starting process rollout_proc4 [2023-02-24 15:06:38,160][00176] Starting process rollout_proc5 [2023-02-24 15:06:38,162][00176] Starting process rollout_proc6 [2023-02-24 15:06:38,162][00176] Starting process rollout_proc7 [2023-02-24 15:06:51,049][10355] Worker 3 uses CPU cores [1] [2023-02-24 15:06:51,236][10354] Worker 4 uses CPU cores [0] [2023-02-24 15:06:51,254][10336] Using GPUs [0] for process 0 (actually maps to GPUs [0]) [2023-02-24 15:06:51,257][10336] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for learning process 0 [2023-02-24 15:06:51,372][10352] Worker 1 uses CPU cores [1] [2023-02-24 15:06:51,376][10351] Worker 0 uses CPU cores [0] [2023-02-24 15:06:51,548][10357] Worker 7 uses CPU cores [1] [2023-02-24 15:06:51,675][10350] Using GPUs [0] for process 0 (actually maps to GPUs [0]) [2023-02-24 15:06:51,679][10350] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for inference process 0 [2023-02-24 15:06:51,779][10353] Worker 2 uses CPU cores [0] [2023-02-24 15:06:51,857][10356] Worker 5 uses CPU cores [1] [2023-02-24 15:06:51,913][10358] Worker 6 uses CPU cores [0] [2023-02-24 15:06:52,399][10350] Num visible devices: 1 [2023-02-24 15:06:52,398][10336] Num visible devices: 1 [2023-02-24 15:06:52,415][10336] Starting seed is not provided [2023-02-24 15:06:52,416][10336] Using GPUs [0] for process 0 (actually maps to GPUs [0]) [2023-02-24 15:06:52,416][10336] Initializing actor-critic model on device cuda:0 [2023-02-24 15:06:52,419][10336] RunningMeanStd input shape: (3, 72, 128) [2023-02-24 15:06:52,421][10336] RunningMeanStd input shape: (1,) [2023-02-24 15:06:52,433][10336] ConvEncoder: input_channels=3 [2023-02-24 15:06:52,733][10336] Conv encoder output size: 512 [2023-02-24 15:06:52,733][10336] Policy head output size: 512 [2023-02-24 15:06:52,788][10336] Created Actor Critic model with architecture: [2023-02-24 15:06:52,788][10336] ActorCriticSharedWeights( (obs_normalizer): ObservationNormalizer( (running_mean_std): RunningMeanStdDictInPlace( (running_mean_std): ModuleDict( (obs): RunningMeanStdInPlace() ) ) ) (returns_normalizer): RecursiveScriptModule(original_name=RunningMeanStdInPlace) (encoder): VizdoomEncoder( (basic_encoder): 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): ModelCoreRNN( (core): GRU(512, 512) ) (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=5, bias=True) ) ) [2023-02-24 15:06:57,959][00176] Heartbeat connected on Batcher_0 [2023-02-24 15:06:57,969][00176] Heartbeat connected on InferenceWorker_p0-w0 [2023-02-24 15:06:57,984][00176] Heartbeat connected on RolloutWorker_w0 [2023-02-24 15:06:57,989][00176] Heartbeat connected on RolloutWorker_w1 [2023-02-24 15:06:57,993][00176] Heartbeat connected on RolloutWorker_w2 [2023-02-24 15:06:57,999][00176] Heartbeat connected on RolloutWorker_w3 [2023-02-24 15:06:58,004][00176] Heartbeat connected on RolloutWorker_w4 [2023-02-24 15:06:58,012][00176] Heartbeat connected on RolloutWorker_w5 [2023-02-24 15:06:58,016][00176] Heartbeat connected on RolloutWorker_w6 [2023-02-24 15:06:58,022][00176] Heartbeat connected on RolloutWorker_w7 [2023-02-24 15:07:00,544][10336] Using optimizer [2023-02-24 15:07:00,545][10336] No checkpoints found [2023-02-24 15:07:00,546][10336] Did not load from checkpoint, starting from scratch! [2023-02-24 15:07:00,546][10336] Initialized policy 0 weights for model version 0 [2023-02-24 15:07:00,550][10336] LearnerWorker_p0 finished initialization! [2023-02-24 15:07:00,552][00176] Heartbeat connected on LearnerWorker_p0 [2023-02-24 15:07:00,550][10336] Using GPUs [0] for process 0 (actually maps to GPUs [0]) [2023-02-24 15:07:00,767][10350] RunningMeanStd input shape: (3, 72, 128) [2023-02-24 15:07:00,769][10350] RunningMeanStd input shape: (1,) [2023-02-24 15:07:00,781][10350] ConvEncoder: input_channels=3 [2023-02-24 15:07:00,883][10350] Conv encoder output size: 512 [2023-02-24 15:07:00,883][10350] Policy head output size: 512 [2023-02-24 15:07:03,476][00176] Inference worker 0-0 is ready! [2023-02-24 15:07:03,480][00176] All inference workers are ready! Signal rollout workers to start! [2023-02-24 15:07:03,581][10356] Doom resolution: 160x120, resize resolution: (128, 72) [2023-02-24 15:07:03,588][10355] Doom resolution: 160x120, resize resolution: (128, 72) [2023-02-24 15:07:03,612][10352] Doom resolution: 160x120, resize resolution: (128, 72) [2023-02-24 15:07:03,626][10357] Doom resolution: 160x120, resize resolution: (128, 72) [2023-02-24 15:07:03,769][10353] Doom resolution: 160x120, resize resolution: (128, 72) [2023-02-24 15:07:03,785][10358] Doom resolution: 160x120, resize resolution: (128, 72) [2023-02-24 15:07:03,790][10351] Doom resolution: 160x120, resize resolution: (128, 72) [2023-02-24 15:07:03,827][10354] Doom resolution: 160x120, resize resolution: (128, 72) [2023-02-24 15:07:05,219][10353] Decorrelating experience for 0 frames... [2023-02-24 15:07:05,299][10356] Decorrelating experience for 0 frames... [2023-02-24 15:07:05,309][10355] Decorrelating experience for 0 frames... [2023-02-24 15:07:05,311][10352] Decorrelating experience for 0 frames... [2023-02-24 15:07:05,333][10357] Decorrelating experience for 0 frames... [2023-02-24 15:07:05,447][00176] 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) [2023-02-24 15:07:06,475][10356] Decorrelating experience for 32 frames... [2023-02-24 15:07:06,478][10355] Decorrelating experience for 32 frames... [2023-02-24 15:07:06,501][10357] Decorrelating experience for 32 frames... [2023-02-24 15:07:06,824][10353] Decorrelating experience for 32 frames... [2023-02-24 15:07:06,938][10351] Decorrelating experience for 0 frames... [2023-02-24 15:07:07,986][10354] Decorrelating experience for 0 frames... [2023-02-24 15:07:08,031][10352] Decorrelating experience for 32 frames... [2023-02-24 15:07:08,237][10355] Decorrelating experience for 64 frames... [2023-02-24 15:07:08,240][10356] Decorrelating experience for 64 frames... [2023-02-24 15:07:08,427][10358] Decorrelating experience for 0 frames... [2023-02-24 15:07:08,488][10353] Decorrelating experience for 64 frames... [2023-02-24 15:07:09,475][10351] Decorrelating experience for 32 frames... [2023-02-24 15:07:09,638][10354] Decorrelating experience for 32 frames... [2023-02-24 15:07:09,734][10353] Decorrelating experience for 96 frames... [2023-02-24 15:07:09,788][10352] Decorrelating experience for 64 frames... [2023-02-24 15:07:09,827][10357] Decorrelating experience for 64 frames... [2023-02-24 15:07:09,946][10356] Decorrelating experience for 96 frames... [2023-02-24 15:07:10,073][10355] Decorrelating experience for 96 frames... [2023-02-24 15:07:10,447][00176] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0) [2023-02-24 15:07:10,592][10358] Decorrelating experience for 32 frames... [2023-02-24 15:07:11,016][10351] Decorrelating experience for 64 frames... [2023-02-24 15:07:11,260][10352] Decorrelating experience for 96 frames... [2023-02-24 15:07:11,261][10357] Decorrelating experience for 96 frames... [2023-02-24 15:07:11,586][10354] Decorrelating experience for 64 frames... [2023-02-24 15:07:11,713][10358] Decorrelating experience for 64 frames... [2023-02-24 15:07:12,476][10354] Decorrelating experience for 96 frames... [2023-02-24 15:07:12,480][10351] Decorrelating experience for 96 frames... [2023-02-24 15:07:12,651][10358] Decorrelating experience for 96 frames... [2023-02-24 15:07:15,447][00176] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 3.6. Samples: 36. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0) [2023-02-24 15:07:15,450][00176] Avg episode reward: [(0, '1.016')] [2023-02-24 15:07:16,357][10336] Signal inference workers to stop experience collection... [2023-02-24 15:07:16,369][10350] InferenceWorker_p0-w0: stopping experience collection [2023-02-24 15:07:19,005][10336] Signal inference workers to resume experience collection... [2023-02-24 15:07:19,006][10350] InferenceWorker_p0-w0: resuming experience collection [2023-02-24 15:07:20,448][00176] Fps is (10 sec: 409.6, 60 sec: 273.0, 300 sec: 273.0). Total num frames: 4096. Throughput: 0: 145.5. Samples: 2182. Policy #0 lag: (min: 0.0, avg: 0.0, max: 0.0) [2023-02-24 15:07:20,455][00176] Avg episode reward: [(0, '2.163')] [2023-02-24 15:07:25,447][00176] Fps is (10 sec: 2048.0, 60 sec: 1024.0, 300 sec: 1024.0). Total num frames: 20480. Throughput: 0: 254.7. Samples: 5094. Policy #0 lag: (min: 0.0, avg: 0.2, max: 1.0) [2023-02-24 15:07:25,450][00176] Avg episode reward: [(0, '3.569')] [2023-02-24 15:07:30,447][00176] Fps is (10 sec: 3277.2, 60 sec: 1474.6, 300 sec: 1474.6). Total num frames: 36864. Throughput: 0: 283.8. Samples: 7096. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:07:30,455][00176] Avg episode reward: [(0, '3.989')] [2023-02-24 15:07:31,130][10350] Updated weights for policy 0, policy_version 10 (0.0021) [2023-02-24 15:07:35,447][00176] Fps is (10 sec: 3686.4, 60 sec: 1911.5, 300 sec: 1911.5). Total num frames: 57344. Throughput: 0: 445.8. Samples: 13374. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:07:35,449][00176] Avg episode reward: [(0, '4.599')] [2023-02-24 15:07:40,453][00176] Fps is (10 sec: 4093.6, 60 sec: 2223.2, 300 sec: 2223.2). Total num frames: 77824. Throughput: 0: 550.4. Samples: 19268. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:07:40,456][00176] Avg episode reward: [(0, '4.412')] [2023-02-24 15:07:42,090][10350] Updated weights for policy 0, policy_version 20 (0.0012) [2023-02-24 15:07:45,447][00176] Fps is (10 sec: 3276.8, 60 sec: 2252.8, 300 sec: 2252.8). Total num frames: 90112. Throughput: 0: 532.1. Samples: 21286. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:07:45,450][00176] Avg episode reward: [(0, '4.251')] [2023-02-24 15:07:50,447][00176] Fps is (10 sec: 2868.9, 60 sec: 2366.6, 300 sec: 2366.6). Total num frames: 106496. Throughput: 0: 564.7. Samples: 25410. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:07:50,450][00176] Avg episode reward: [(0, '4.164')] [2023-02-24 15:07:50,459][10336] Saving new best policy, reward=4.164! [2023-02-24 15:07:54,034][10350] Updated weights for policy 0, policy_version 30 (0.0012) [2023-02-24 15:07:55,447][00176] Fps is (10 sec: 3686.4, 60 sec: 2539.5, 300 sec: 2539.5). Total num frames: 126976. Throughput: 0: 705.6. Samples: 31752. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:07:55,456][00176] Avg episode reward: [(0, '4.379')] [2023-02-24 15:07:55,461][10336] Saving new best policy, reward=4.379! [2023-02-24 15:08:00,452][00176] Fps is (10 sec: 3684.6, 60 sec: 2606.3, 300 sec: 2606.3). Total num frames: 143360. Throughput: 0: 770.1. Samples: 34694. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:08:00,454][00176] Avg episode reward: [(0, '4.446')] [2023-02-24 15:08:00,465][10336] Saving new best policy, reward=4.446! [2023-02-24 15:08:05,447][00176] Fps is (10 sec: 2867.1, 60 sec: 2594.1, 300 sec: 2594.1). Total num frames: 155648. Throughput: 0: 819.6. Samples: 39064. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:08:05,452][00176] Avg episode reward: [(0, '4.505')] [2023-02-24 15:08:05,455][10336] Saving new best policy, reward=4.505! [2023-02-24 15:08:07,110][10350] Updated weights for policy 0, policy_version 40 (0.0023) [2023-02-24 15:08:10,447][00176] Fps is (10 sec: 2868.6, 60 sec: 2867.2, 300 sec: 2646.6). Total num frames: 172032. Throughput: 0: 855.6. Samples: 43596. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:08:10,449][00176] Avg episode reward: [(0, '4.598')] [2023-02-24 15:08:10,474][10336] Saving new best policy, reward=4.598! [2023-02-24 15:08:15,447][00176] Fps is (10 sec: 4096.1, 60 sec: 3276.8, 300 sec: 2808.7). Total num frames: 196608. Throughput: 0: 882.0. Samples: 46786. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:08:15,449][00176] Avg episode reward: [(0, '4.561')] [2023-02-24 15:08:16,869][10350] Updated weights for policy 0, policy_version 50 (0.0024) [2023-02-24 15:08:20,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3549.9, 300 sec: 2894.5). Total num frames: 217088. Throughput: 0: 892.6. Samples: 53542. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:08:20,454][00176] Avg episode reward: [(0, '4.421')] [2023-02-24 15:08:25,447][00176] Fps is (10 sec: 3276.7, 60 sec: 3481.6, 300 sec: 2867.2). Total num frames: 229376. Throughput: 0: 859.4. Samples: 57936. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:08:25,450][00176] Avg episode reward: [(0, '4.346')] [2023-02-24 15:08:29,169][10350] Updated weights for policy 0, policy_version 60 (0.0023) [2023-02-24 15:08:30,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3549.9, 300 sec: 2939.5). Total num frames: 249856. Throughput: 0: 864.0. Samples: 60168. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:08:30,449][00176] Avg episode reward: [(0, '4.398')] [2023-02-24 15:08:30,459][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000061_249856.pth... [2023-02-24 15:08:35,448][00176] Fps is (10 sec: 4095.7, 60 sec: 3549.8, 300 sec: 3003.7). Total num frames: 270336. Throughput: 0: 904.3. Samples: 66106. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:08:35,455][00176] Avg episode reward: [(0, '4.458')] [2023-02-24 15:08:39,092][10350] Updated weights for policy 0, policy_version 70 (0.0012) [2023-02-24 15:08:40,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3482.0, 300 sec: 3018.1). Total num frames: 286720. Throughput: 0: 903.8. Samples: 72424. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:08:40,452][00176] Avg episode reward: [(0, '4.413')] [2023-02-24 15:08:45,447][00176] Fps is (10 sec: 3277.1, 60 sec: 3549.9, 300 sec: 3031.0). Total num frames: 303104. Throughput: 0: 887.4. Samples: 74624. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:08:45,456][00176] Avg episode reward: [(0, '4.439')] [2023-02-24 15:08:50,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3549.9, 300 sec: 3042.7). Total num frames: 319488. Throughput: 0: 891.3. Samples: 79170. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:08:50,454][00176] Avg episode reward: [(0, '4.506')] [2023-02-24 15:08:51,442][10350] Updated weights for policy 0, policy_version 80 (0.0032) [2023-02-24 15:08:55,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3618.1, 300 sec: 3127.9). Total num frames: 344064. Throughput: 0: 944.6. Samples: 86104. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:08:55,455][00176] Avg episode reward: [(0, '4.324')] [2023-02-24 15:09:00,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3686.7, 300 sec: 3169.9). Total num frames: 364544. Throughput: 0: 949.6. Samples: 89520. Policy #0 lag: (min: 0.0, avg: 0.3, max: 1.0) [2023-02-24 15:09:00,449][00176] Avg episode reward: [(0, '4.114')] [2023-02-24 15:09:01,288][10350] Updated weights for policy 0, policy_version 90 (0.0015) [2023-02-24 15:09:05,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3686.4, 300 sec: 3140.3). Total num frames: 376832. Throughput: 0: 904.7. Samples: 94254. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:09:05,450][00176] Avg episode reward: [(0, '4.275')] [2023-02-24 15:09:10,447][00176] Fps is (10 sec: 3276.7, 60 sec: 3754.7, 300 sec: 3178.5). Total num frames: 397312. Throughput: 0: 917.5. Samples: 99224. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:09:10,449][00176] Avg episode reward: [(0, '4.641')] [2023-02-24 15:09:10,463][10336] Saving new best policy, reward=4.641! [2023-02-24 15:09:12,770][10350] Updated weights for policy 0, policy_version 100 (0.0016) [2023-02-24 15:09:15,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3213.8). Total num frames: 417792. Throughput: 0: 942.6. Samples: 102584. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:09:15,454][00176] Avg episode reward: [(0, '4.671')] [2023-02-24 15:09:15,538][10336] Saving new best policy, reward=4.671! [2023-02-24 15:09:20,447][00176] Fps is (10 sec: 4096.1, 60 sec: 3686.4, 300 sec: 3246.5). Total num frames: 438272. Throughput: 0: 957.2. Samples: 109178. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:09:20,454][00176] Avg episode reward: [(0, '4.370')] [2023-02-24 15:09:24,135][10350] Updated weights for policy 0, policy_version 110 (0.0019) [2023-02-24 15:09:25,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3686.4, 300 sec: 3218.3). Total num frames: 450560. Throughput: 0: 912.0. Samples: 113464. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:09:25,450][00176] Avg episode reward: [(0, '4.443')] [2023-02-24 15:09:30,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3686.4, 300 sec: 3248.6). Total num frames: 471040. Throughput: 0: 908.4. Samples: 115504. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:09:30,449][00176] Avg episode reward: [(0, '4.420')] [2023-02-24 15:09:34,562][10350] Updated weights for policy 0, policy_version 120 (0.0023) [2023-02-24 15:09:35,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3754.7, 300 sec: 3304.1). Total num frames: 495616. Throughput: 0: 954.8. Samples: 122138. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:09:35,454][00176] Avg episode reward: [(0, '4.436')] [2023-02-24 15:09:40,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3754.7, 300 sec: 3303.2). Total num frames: 512000. Throughput: 0: 942.2. Samples: 128504. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:09:40,451][00176] Avg episode reward: [(0, '4.485')] [2023-02-24 15:09:45,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3754.7, 300 sec: 3302.4). Total num frames: 528384. Throughput: 0: 915.5. Samples: 130716. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:09:45,454][00176] Avg episode reward: [(0, '4.540')] [2023-02-24 15:09:46,450][10350] Updated weights for policy 0, policy_version 130 (0.0016) [2023-02-24 15:09:50,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3754.7, 300 sec: 3301.6). Total num frames: 544768. Throughput: 0: 912.1. Samples: 135298. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:09:50,452][00176] Avg episode reward: [(0, '4.527')] [2023-02-24 15:09:55,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3754.7, 300 sec: 3349.1). Total num frames: 569344. Throughput: 0: 954.3. Samples: 142166. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:09:55,453][00176] Avg episode reward: [(0, '4.596')] [2023-02-24 15:09:56,072][10350] Updated weights for policy 0, policy_version 140 (0.0022) [2023-02-24 15:10:00,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3754.7, 300 sec: 3370.4). Total num frames: 589824. Throughput: 0: 956.1. Samples: 145610. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:10:00,455][00176] Avg episode reward: [(0, '4.370')] [2023-02-24 15:10:05,447][00176] Fps is (10 sec: 3276.7, 60 sec: 3754.6, 300 sec: 3345.1). Total num frames: 602112. Throughput: 0: 910.5. Samples: 150150. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:10:05,452][00176] Avg episode reward: [(0, '4.304')] [2023-02-24 15:10:08,631][10350] Updated weights for policy 0, policy_version 150 (0.0021) [2023-02-24 15:10:10,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3754.7, 300 sec: 3365.4). Total num frames: 622592. Throughput: 0: 926.5. Samples: 155156. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:10:10,454][00176] Avg episode reward: [(0, '4.333')] [2023-02-24 15:10:15,447][00176] Fps is (10 sec: 4096.2, 60 sec: 3754.7, 300 sec: 3384.6). Total num frames: 643072. Throughput: 0: 958.9. Samples: 158654. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:10:15,455][00176] Avg episode reward: [(0, '4.476')] [2023-02-24 15:10:17,427][10350] Updated weights for policy 0, policy_version 160 (0.0017) [2023-02-24 15:10:20,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3754.7, 300 sec: 3402.8). Total num frames: 663552. Throughput: 0: 967.6. Samples: 165678. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:10:20,454][00176] Avg episode reward: [(0, '4.554')] [2023-02-24 15:10:25,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3822.9, 300 sec: 3399.7). Total num frames: 679936. Throughput: 0: 919.6. Samples: 169886. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:10:25,456][00176] Avg episode reward: [(0, '4.545')] [2023-02-24 15:10:30,303][10350] Updated weights for policy 0, policy_version 170 (0.0019) [2023-02-24 15:10:30,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3754.7, 300 sec: 3396.7). Total num frames: 696320. Throughput: 0: 917.8. Samples: 172018. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:10:30,450][00176] Avg episode reward: [(0, '4.549')] [2023-02-24 15:10:30,460][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000170_696320.pth... [2023-02-24 15:10:35,447][00176] Fps is (10 sec: 3686.3, 60 sec: 3686.4, 300 sec: 3413.3). Total num frames: 716800. Throughput: 0: 952.6. Samples: 178164. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:10:35,450][00176] Avg episode reward: [(0, '4.621')] [2023-02-24 15:10:40,245][10350] Updated weights for policy 0, policy_version 180 (0.0014) [2023-02-24 15:10:40,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3754.7, 300 sec: 3429.2). Total num frames: 737280. Throughput: 0: 938.4. Samples: 184396. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:10:40,454][00176] Avg episode reward: [(0, '4.674')] [2023-02-24 15:10:40,480][10336] Saving new best policy, reward=4.674! [2023-02-24 15:10:45,447][00176] Fps is (10 sec: 3276.9, 60 sec: 3686.4, 300 sec: 3407.1). Total num frames: 749568. Throughput: 0: 905.5. Samples: 186358. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:10:45,458][00176] Avg episode reward: [(0, '4.739')] [2023-02-24 15:10:45,466][10336] Saving new best policy, reward=4.739! [2023-02-24 15:10:50,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3686.4, 300 sec: 3404.2). Total num frames: 765952. Throughput: 0: 896.9. Samples: 190510. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:10:50,454][00176] Avg episode reward: [(0, '4.952')] [2023-02-24 15:10:50,465][10336] Saving new best policy, reward=4.952! [2023-02-24 15:10:52,883][10350] Updated weights for policy 0, policy_version 190 (0.0012) [2023-02-24 15:10:55,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3419.3). Total num frames: 786432. Throughput: 0: 928.2. Samples: 196924. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:10:55,451][00176] Avg episode reward: [(0, '5.015')] [2023-02-24 15:10:55,455][10336] Saving new best policy, reward=5.015! [2023-02-24 15:11:00,447][00176] Fps is (10 sec: 4095.9, 60 sec: 3618.1, 300 sec: 3433.7). Total num frames: 806912. Throughput: 0: 923.5. Samples: 200210. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:11:00,449][00176] Avg episode reward: [(0, '4.718')] [2023-02-24 15:11:04,376][10350] Updated weights for policy 0, policy_version 200 (0.0012) [2023-02-24 15:11:05,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3618.1, 300 sec: 3413.3). Total num frames: 819200. Throughput: 0: 868.2. Samples: 204746. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:11:05,452][00176] Avg episode reward: [(0, '4.754')] [2023-02-24 15:11:10,447][00176] Fps is (10 sec: 2048.0, 60 sec: 3413.3, 300 sec: 3377.1). Total num frames: 827392. Throughput: 0: 840.3. Samples: 207700. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:11:10,449][00176] Avg episode reward: [(0, '4.629')] [2023-02-24 15:11:15,447][00176] Fps is (10 sec: 3276.9, 60 sec: 3481.6, 300 sec: 3407.9). Total num frames: 851968. Throughput: 0: 851.6. Samples: 210340. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:11:15,448][00176] Avg episode reward: [(0, '4.682')] [2023-02-24 15:11:17,203][10350] Updated weights for policy 0, policy_version 210 (0.0014) [2023-02-24 15:11:20,447][00176] Fps is (10 sec: 4095.9, 60 sec: 3413.3, 300 sec: 3405.3). Total num frames: 868352. Throughput: 0: 862.3. Samples: 216968. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:11:20,453][00176] Avg episode reward: [(0, '4.584')] [2023-02-24 15:11:25,448][00176] Fps is (10 sec: 3276.5, 60 sec: 3413.3, 300 sec: 3402.8). Total num frames: 884736. Throughput: 0: 817.0. Samples: 221162. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:11:25,450][00176] Avg episode reward: [(0, '4.474')] [2023-02-24 15:11:29,869][10350] Updated weights for policy 0, policy_version 220 (0.0021) [2023-02-24 15:11:30,447][00176] Fps is (10 sec: 3276.9, 60 sec: 3413.3, 300 sec: 3400.5). Total num frames: 901120. Throughput: 0: 821.2. Samples: 223310. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:11:30,449][00176] Avg episode reward: [(0, '4.473')] [2023-02-24 15:11:35,447][00176] Fps is (10 sec: 3686.7, 60 sec: 3413.4, 300 sec: 3413.3). Total num frames: 921600. Throughput: 0: 871.6. Samples: 229730. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:11:35,454][00176] Avg episode reward: [(0, '4.608')] [2023-02-24 15:11:40,047][10350] Updated weights for policy 0, policy_version 230 (0.0017) [2023-02-24 15:11:40,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3413.3, 300 sec: 3425.7). Total num frames: 942080. Throughput: 0: 863.4. Samples: 235778. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:11:40,450][00176] Avg episode reward: [(0, '4.707')] [2023-02-24 15:11:45,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3413.3, 300 sec: 3408.5). Total num frames: 954368. Throughput: 0: 834.9. Samples: 237780. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:11:45,454][00176] Avg episode reward: [(0, '4.837')] [2023-02-24 15:11:50,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3413.3, 300 sec: 3406.1). Total num frames: 970752. Throughput: 0: 828.1. Samples: 242010. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:11:50,454][00176] Avg episode reward: [(0, '5.019')] [2023-02-24 15:11:50,464][10336] Saving new best policy, reward=5.019! [2023-02-24 15:11:52,534][10350] Updated weights for policy 0, policy_version 240 (0.0030) [2023-02-24 15:11:55,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3481.6, 300 sec: 3432.2). Total num frames: 995328. Throughput: 0: 905.3. Samples: 248440. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:11:55,455][00176] Avg episode reward: [(0, '4.939')] [2023-02-24 15:12:00,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3413.3, 300 sec: 3429.5). Total num frames: 1011712. Throughput: 0: 920.1. Samples: 251746. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:12:00,449][00176] Avg episode reward: [(0, '4.901')] [2023-02-24 15:12:04,341][10350] Updated weights for policy 0, policy_version 250 (0.0020) [2023-02-24 15:12:05,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3413.3, 300 sec: 3471.2). Total num frames: 1024000. Throughput: 0: 861.7. Samples: 255746. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:12:05,449][00176] Avg episode reward: [(0, '4.869')] [2023-02-24 15:12:10,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3549.9, 300 sec: 3526.7). Total num frames: 1040384. Throughput: 0: 868.0. Samples: 260220. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:12:10,449][00176] Avg episode reward: [(0, '4.874')] [2023-02-24 15:12:15,452][00176] Fps is (10 sec: 3684.6, 60 sec: 3481.3, 300 sec: 3582.2). Total num frames: 1060864. Throughput: 0: 893.0. Samples: 263498. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:12:15,454][00176] Avg episode reward: [(0, '4.930')] [2023-02-24 15:12:15,659][10350] Updated weights for policy 0, policy_version 260 (0.0029) [2023-02-24 15:12:20,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3549.9, 300 sec: 3596.1). Total num frames: 1081344. Throughput: 0: 894.8. Samples: 269996. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:12:20,453][00176] Avg episode reward: [(0, '4.822')] [2023-02-24 15:12:25,449][00176] Fps is (10 sec: 3277.8, 60 sec: 3481.5, 300 sec: 3582.2). Total num frames: 1093632. Throughput: 0: 853.1. Samples: 274168. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:12:25,452][00176] Avg episode reward: [(0, '4.772')] [2023-02-24 15:12:28,360][10350] Updated weights for policy 0, policy_version 270 (0.0013) [2023-02-24 15:12:30,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3549.9, 300 sec: 3582.3). Total num frames: 1114112. Throughput: 0: 856.4. Samples: 276318. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:12:30,450][00176] Avg episode reward: [(0, '4.853')] [2023-02-24 15:12:30,464][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000272_1114112.pth... [2023-02-24 15:12:30,584][10336] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000061_249856.pth [2023-02-24 15:12:35,447][00176] Fps is (10 sec: 4096.8, 60 sec: 3549.9, 300 sec: 3582.3). Total num frames: 1134592. Throughput: 0: 908.4. Samples: 282886. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:12:35,455][00176] Avg episode reward: [(0, '4.990')] [2023-02-24 15:12:37,373][10350] Updated weights for policy 0, policy_version 280 (0.0015) [2023-02-24 15:12:40,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3549.9, 300 sec: 3610.0). Total num frames: 1155072. Throughput: 0: 909.7. Samples: 289378. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:12:40,449][00176] Avg episode reward: [(0, '5.257')] [2023-02-24 15:12:40,463][10336] Saving new best policy, reward=5.257! [2023-02-24 15:12:45,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3610.0). Total num frames: 1171456. Throughput: 0: 882.5. Samples: 291460. Policy #0 lag: (min: 0.0, avg: 0.3, max: 1.0) [2023-02-24 15:12:45,453][00176] Avg episode reward: [(0, '5.545')] [2023-02-24 15:12:45,456][10336] Saving new best policy, reward=5.545! [2023-02-24 15:12:50,179][10350] Updated weights for policy 0, policy_version 290 (0.0016) [2023-02-24 15:12:50,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3618.1, 300 sec: 3596.1). Total num frames: 1187840. Throughput: 0: 886.1. Samples: 295620. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:12:50,450][00176] Avg episode reward: [(0, '5.773')] [2023-02-24 15:12:50,459][10336] Saving new best policy, reward=5.773! [2023-02-24 15:12:55,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3549.9, 300 sec: 3610.1). Total num frames: 1208320. Throughput: 0: 937.1. Samples: 302388. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:12:55,449][00176] Avg episode reward: [(0, '5.953')] [2023-02-24 15:12:55,525][10336] Saving new best policy, reward=5.953! [2023-02-24 15:12:59,402][10350] Updated weights for policy 0, policy_version 300 (0.0015) [2023-02-24 15:13:00,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3618.1, 300 sec: 3637.8). Total num frames: 1228800. Throughput: 0: 938.9. Samples: 305742. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:13:00,455][00176] Avg episode reward: [(0, '6.217')] [2023-02-24 15:13:00,466][10336] Saving new best policy, reward=6.217! [2023-02-24 15:13:05,454][00176] Fps is (10 sec: 3683.8, 60 sec: 3686.0, 300 sec: 3637.7). Total num frames: 1245184. Throughput: 0: 906.6. Samples: 310800. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:13:05,460][00176] Avg episode reward: [(0, '6.060')] [2023-02-24 15:13:10,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3686.4, 300 sec: 3610.0). Total num frames: 1261568. Throughput: 0: 922.7. Samples: 315686. Policy #0 lag: (min: 0.0, avg: 0.3, max: 1.0) [2023-02-24 15:13:10,452][00176] Avg episode reward: [(0, '6.427')] [2023-02-24 15:13:10,465][10336] Saving new best policy, reward=6.427! [2023-02-24 15:13:11,563][10350] Updated weights for policy 0, policy_version 310 (0.0027) [2023-02-24 15:13:15,447][00176] Fps is (10 sec: 4098.8, 60 sec: 3755.0, 300 sec: 3623.9). Total num frames: 1286144. Throughput: 0: 951.2. Samples: 319124. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:13:15,449][00176] Avg episode reward: [(0, '6.353')] [2023-02-24 15:13:20,447][00176] Fps is (10 sec: 4505.5, 60 sec: 3754.7, 300 sec: 3651.7). Total num frames: 1306624. Throughput: 0: 961.8. Samples: 326166. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:13:20,450][00176] Avg episode reward: [(0, '7.394')] [2023-02-24 15:13:20,466][10336] Saving new best policy, reward=7.394! [2023-02-24 15:13:21,189][10350] Updated weights for policy 0, policy_version 320 (0.0018) [2023-02-24 15:13:25,447][00176] Fps is (10 sec: 3276.9, 60 sec: 3754.8, 300 sec: 3623.9). Total num frames: 1318912. Throughput: 0: 916.3. Samples: 330612. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:13:25,455][00176] Avg episode reward: [(0, '7.900')] [2023-02-24 15:13:25,456][10336] Saving new best policy, reward=7.900! [2023-02-24 15:13:30,447][00176] Fps is (10 sec: 3276.9, 60 sec: 3754.7, 300 sec: 3623.9). Total num frames: 1339392. Throughput: 0: 917.9. Samples: 332766. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:13:30,454][00176] Avg episode reward: [(0, '8.028')] [2023-02-24 15:13:30,467][10336] Saving new best policy, reward=8.028! [2023-02-24 15:13:32,864][10350] Updated weights for policy 0, policy_version 330 (0.0029) [2023-02-24 15:13:35,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3822.9, 300 sec: 3651.7). Total num frames: 1363968. Throughput: 0: 969.6. Samples: 339254. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:13:35,454][00176] Avg episode reward: [(0, '7.876')] [2023-02-24 15:13:40,449][00176] Fps is (10 sec: 4095.2, 60 sec: 3754.5, 300 sec: 3651.7). Total num frames: 1380352. Throughput: 0: 963.5. Samples: 345748. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:13:40,455][00176] Avg episode reward: [(0, '8.004')] [2023-02-24 15:13:43,510][10350] Updated weights for policy 0, policy_version 340 (0.0012) [2023-02-24 15:13:45,450][00176] Fps is (10 sec: 3275.9, 60 sec: 3754.5, 300 sec: 3651.7). Total num frames: 1396736. Throughput: 0: 938.2. Samples: 347964. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:13:45,452][00176] Avg episode reward: [(0, '8.604')] [2023-02-24 15:13:45,454][10336] Saving new best policy, reward=8.604! [2023-02-24 15:13:50,447][00176] Fps is (10 sec: 3277.4, 60 sec: 3754.7, 300 sec: 3623.9). Total num frames: 1413120. Throughput: 0: 928.0. Samples: 352554. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:13:50,449][00176] Avg episode reward: [(0, '8.362')] [2023-02-24 15:13:54,063][10350] Updated weights for policy 0, policy_version 350 (0.0034) [2023-02-24 15:13:55,448][00176] Fps is (10 sec: 4096.6, 60 sec: 3822.8, 300 sec: 3637.8). Total num frames: 1437696. Throughput: 0: 972.9. Samples: 359466. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:13:55,451][00176] Avg episode reward: [(0, '8.281')] [2023-02-24 15:14:00,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3822.9, 300 sec: 3665.6). Total num frames: 1458176. Throughput: 0: 976.1. Samples: 363050. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:14:00,449][00176] Avg episode reward: [(0, '8.271')] [2023-02-24 15:14:05,007][10350] Updated weights for policy 0, policy_version 360 (0.0012) [2023-02-24 15:14:05,447][00176] Fps is (10 sec: 3687.0, 60 sec: 3823.4, 300 sec: 3651.7). Total num frames: 1474560. Throughput: 0: 931.3. Samples: 368076. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:14:05,451][00176] Avg episode reward: [(0, '8.705')] [2023-02-24 15:14:05,459][10336] Saving new best policy, reward=8.705! [2023-02-24 15:14:10,447][00176] Fps is (10 sec: 3276.7, 60 sec: 3822.9, 300 sec: 3637.8). Total num frames: 1490944. Throughput: 0: 942.0. Samples: 373004. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:14:10,452][00176] Avg episode reward: [(0, '9.088')] [2023-02-24 15:14:10,467][10336] Saving new best policy, reward=9.088! [2023-02-24 15:14:14,908][10350] Updated weights for policy 0, policy_version 370 (0.0015) [2023-02-24 15:14:15,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3822.9, 300 sec: 3651.7). Total num frames: 1515520. Throughput: 0: 972.8. Samples: 376542. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:14:15,454][00176] Avg episode reward: [(0, '9.149')] [2023-02-24 15:14:15,459][10336] Saving new best policy, reward=9.149! [2023-02-24 15:14:20,447][00176] Fps is (10 sec: 4505.7, 60 sec: 3823.0, 300 sec: 3679.5). Total num frames: 1536000. Throughput: 0: 978.2. Samples: 383274. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:14:20,453][00176] Avg episode reward: [(0, '8.977')] [2023-02-24 15:14:25,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3822.9, 300 sec: 3651.7). Total num frames: 1548288. Throughput: 0: 930.0. Samples: 387594. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:14:25,450][00176] Avg episode reward: [(0, '8.773')] [2023-02-24 15:14:27,066][10350] Updated weights for policy 0, policy_version 380 (0.0012) [2023-02-24 15:14:30,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3822.9, 300 sec: 3637.8). Total num frames: 1568768. Throughput: 0: 931.4. Samples: 389874. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:14:30,449][00176] Avg episode reward: [(0, '8.706')] [2023-02-24 15:14:30,462][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000383_1568768.pth... [2023-02-24 15:14:30,579][10336] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000170_696320.pth [2023-02-24 15:14:35,450][00176] Fps is (10 sec: 4094.7, 60 sec: 3754.5, 300 sec: 3651.6). Total num frames: 1589248. Throughput: 0: 975.1. Samples: 396438. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:14:35,454][00176] Avg episode reward: [(0, '9.716')] [2023-02-24 15:14:35,460][10336] Saving new best policy, reward=9.716! [2023-02-24 15:14:36,595][10350] Updated weights for policy 0, policy_version 390 (0.0016) [2023-02-24 15:14:40,449][00176] Fps is (10 sec: 4095.2, 60 sec: 3822.9, 300 sec: 3665.5). Total num frames: 1609728. Throughput: 0: 967.8. Samples: 403018. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:14:40,453][00176] Avg episode reward: [(0, '10.159')] [2023-02-24 15:14:40,465][10336] Saving new best policy, reward=10.159! [2023-02-24 15:14:45,447][00176] Fps is (10 sec: 3687.6, 60 sec: 3823.1, 300 sec: 3665.6). Total num frames: 1626112. Throughput: 0: 936.4. Samples: 405190. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:14:45,453][00176] Avg episode reward: [(0, '10.211')] [2023-02-24 15:14:45,455][10336] Saving new best policy, reward=10.211! [2023-02-24 15:14:48,948][10350] Updated weights for policy 0, policy_version 400 (0.0024) [2023-02-24 15:14:50,447][00176] Fps is (10 sec: 3277.5, 60 sec: 3822.9, 300 sec: 3637.8). Total num frames: 1642496. Throughput: 0: 920.5. Samples: 409498. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:14:50,459][00176] Avg episode reward: [(0, '9.854')] [2023-02-24 15:14:55,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3823.0, 300 sec: 3651.7). Total num frames: 1667072. Throughput: 0: 966.9. Samples: 416514. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:14:55,451][00176] Avg episode reward: [(0, '9.448')] [2023-02-24 15:14:57,918][10350] Updated weights for policy 0, policy_version 410 (0.0013) [2023-02-24 15:15:00,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3822.9, 300 sec: 3679.5). Total num frames: 1687552. Throughput: 0: 967.4. Samples: 420074. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:15:00,452][00176] Avg episode reward: [(0, '8.943')] [2023-02-24 15:15:05,448][00176] Fps is (10 sec: 3276.2, 60 sec: 3754.6, 300 sec: 3651.7). Total num frames: 1699840. Throughput: 0: 927.3. Samples: 425006. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:15:05,459][00176] Avg episode reward: [(0, '9.078')] [2023-02-24 15:15:10,356][10350] Updated weights for policy 0, policy_version 420 (0.0041) [2023-02-24 15:15:10,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3822.9, 300 sec: 3651.7). Total num frames: 1720320. Throughput: 0: 938.0. Samples: 429806. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:15:10,450][00176] Avg episode reward: [(0, '9.871')] [2023-02-24 15:15:15,447][00176] Fps is (10 sec: 4096.7, 60 sec: 3754.7, 300 sec: 3651.7). Total num frames: 1740800. Throughput: 0: 962.9. Samples: 433206. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:15:15,453][00176] Avg episode reward: [(0, '11.325')] [2023-02-24 15:15:15,458][10336] Saving new best policy, reward=11.325! [2023-02-24 15:15:19,769][10350] Updated weights for policy 0, policy_version 430 (0.0015) [2023-02-24 15:15:20,452][00176] Fps is (10 sec: 4094.0, 60 sec: 3754.4, 300 sec: 3665.5). Total num frames: 1761280. Throughput: 0: 963.7. Samples: 439804. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:15:20,459][00176] Avg episode reward: [(0, '12.014')] [2023-02-24 15:15:20,472][10336] Saving new best policy, reward=12.014! [2023-02-24 15:15:25,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3754.7, 300 sec: 3651.7). Total num frames: 1773568. Throughput: 0: 911.3. Samples: 444024. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:15:25,455][00176] Avg episode reward: [(0, '11.809')] [2023-02-24 15:15:30,447][00176] Fps is (10 sec: 2868.5, 60 sec: 3686.4, 300 sec: 3637.8). Total num frames: 1789952. Throughput: 0: 909.6. Samples: 446122. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:15:30,450][00176] Avg episode reward: [(0, '11.452')] [2023-02-24 15:15:32,252][10350] Updated weights for policy 0, policy_version 440 (0.0013) [2023-02-24 15:15:35,449][00176] Fps is (10 sec: 4095.2, 60 sec: 3754.7, 300 sec: 3651.7). Total num frames: 1814528. Throughput: 0: 954.8. Samples: 452468. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:15:35,451][00176] Avg episode reward: [(0, '11.161')] [2023-02-24 15:15:40,447][00176] Fps is (10 sec: 4096.2, 60 sec: 3686.5, 300 sec: 3665.6). Total num frames: 1830912. Throughput: 0: 937.6. Samples: 458708. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:15:40,457][00176] Avg episode reward: [(0, '12.067')] [2023-02-24 15:15:40,473][10336] Saving new best policy, reward=12.067! [2023-02-24 15:15:43,724][10350] Updated weights for policy 0, policy_version 450 (0.0018) [2023-02-24 15:15:45,447][00176] Fps is (10 sec: 3277.4, 60 sec: 3686.4, 300 sec: 3665.6). Total num frames: 1847296. Throughput: 0: 902.6. Samples: 460690. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:15:45,453][00176] Avg episode reward: [(0, '13.182')] [2023-02-24 15:15:45,457][10336] Saving new best policy, reward=13.182! [2023-02-24 15:15:50,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3686.4, 300 sec: 3651.7). Total num frames: 1863680. Throughput: 0: 882.6. Samples: 464722. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:15:50,449][00176] Avg episode reward: [(0, '13.703')] [2023-02-24 15:15:50,460][10336] Saving new best policy, reward=13.703! [2023-02-24 15:15:54,841][10350] Updated weights for policy 0, policy_version 460 (0.0016) [2023-02-24 15:15:55,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3651.7). Total num frames: 1884160. Throughput: 0: 921.7. Samples: 471282. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:15:55,454][00176] Avg episode reward: [(0, '12.973')] [2023-02-24 15:16:00,447][00176] Fps is (10 sec: 4095.9, 60 sec: 3618.1, 300 sec: 3679.5). Total num frames: 1904640. Throughput: 0: 919.2. Samples: 474570. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:16:00,450][00176] Avg episode reward: [(0, '12.507')] [2023-02-24 15:16:05,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3618.2, 300 sec: 3693.3). Total num frames: 1916928. Throughput: 0: 878.2. Samples: 479320. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:16:05,452][00176] Avg episode reward: [(0, '12.229')] [2023-02-24 15:16:07,345][10350] Updated weights for policy 0, policy_version 470 (0.0020) [2023-02-24 15:16:10,451][00176] Fps is (10 sec: 2866.2, 60 sec: 3549.6, 300 sec: 3665.5). Total num frames: 1933312. Throughput: 0: 884.9. Samples: 483846. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:16:10,453][00176] Avg episode reward: [(0, '12.371')] [2023-02-24 15:16:15,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3618.1, 300 sec: 3693.3). Total num frames: 1957888. Throughput: 0: 909.4. Samples: 487046. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:16:15,449][00176] Avg episode reward: [(0, '13.967')] [2023-02-24 15:16:15,452][10336] Saving new best policy, reward=13.967! [2023-02-24 15:16:17,140][10350] Updated weights for policy 0, policy_version 480 (0.0024) [2023-02-24 15:16:20,447][00176] Fps is (10 sec: 4097.5, 60 sec: 3550.1, 300 sec: 3693.4). Total num frames: 1974272. Throughput: 0: 916.2. Samples: 493696. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:16:20,451][00176] Avg episode reward: [(0, '13.896')] [2023-02-24 15:16:25,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3618.1, 300 sec: 3693.3). Total num frames: 1990656. Throughput: 0: 874.5. Samples: 498060. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:16:25,449][00176] Avg episode reward: [(0, '14.650')] [2023-02-24 15:16:25,462][10336] Saving new best policy, reward=14.650! [2023-02-24 15:16:30,027][10350] Updated weights for policy 0, policy_version 490 (0.0015) [2023-02-24 15:16:30,447][00176] Fps is (10 sec: 3276.9, 60 sec: 3618.2, 300 sec: 3679.5). Total num frames: 2007040. Throughput: 0: 877.2. Samples: 500162. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:16:30,454][00176] Avg episode reward: [(0, '15.207')] [2023-02-24 15:16:30,467][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000490_2007040.pth... [2023-02-24 15:16:30,581][10336] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000272_1114112.pth [2023-02-24 15:16:30,590][10336] Saving new best policy, reward=15.207! [2023-02-24 15:16:35,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3550.0, 300 sec: 3679.5). Total num frames: 2027520. Throughput: 0: 920.9. Samples: 506164. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:16:35,455][00176] Avg episode reward: [(0, '15.017')] [2023-02-24 15:16:39,631][10350] Updated weights for policy 0, policy_version 500 (0.0024) [2023-02-24 15:16:40,449][00176] Fps is (10 sec: 4095.1, 60 sec: 3618.0, 300 sec: 3707.2). Total num frames: 2048000. Throughput: 0: 918.7. Samples: 512626. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:16:40,454][00176] Avg episode reward: [(0, '15.067')] [2023-02-24 15:16:45,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3707.2). Total num frames: 2064384. Throughput: 0: 889.3. Samples: 514586. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:16:45,452][00176] Avg episode reward: [(0, '14.768')] [2023-02-24 15:16:50,447][00176] Fps is (10 sec: 3277.5, 60 sec: 3618.1, 300 sec: 3679.5). Total num frames: 2080768. Throughput: 0: 879.2. Samples: 518882. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:16:50,450][00176] Avg episode reward: [(0, '13.991')] [2023-02-24 15:16:52,124][10350] Updated weights for policy 0, policy_version 510 (0.0021) [2023-02-24 15:16:55,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3693.3). Total num frames: 2101248. Throughput: 0: 931.1. Samples: 525740. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:16:55,449][00176] Avg episode reward: [(0, '14.461')] [2023-02-24 15:17:00,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3686.4, 300 sec: 3735.0). Total num frames: 2125824. Throughput: 0: 938.5. Samples: 529278. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:17:00,449][00176] Avg episode reward: [(0, '15.694')] [2023-02-24 15:17:00,460][10336] Saving new best policy, reward=15.694! [2023-02-24 15:17:01,803][10350] Updated weights for policy 0, policy_version 520 (0.0022) [2023-02-24 15:17:05,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3686.4, 300 sec: 3721.1). Total num frames: 2138112. Throughput: 0: 900.2. Samples: 534204. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:17:05,449][00176] Avg episode reward: [(0, '15.333')] [2023-02-24 15:17:10,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3686.6, 300 sec: 3707.3). Total num frames: 2154496. Throughput: 0: 902.0. Samples: 538652. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:17:10,455][00176] Avg episode reward: [(0, '15.980')] [2023-02-24 15:17:10,470][10336] Saving new best policy, reward=15.980! [2023-02-24 15:17:13,603][10350] Updated weights for policy 0, policy_version 530 (0.0017) [2023-02-24 15:17:15,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3721.1). Total num frames: 2179072. Throughput: 0: 928.7. Samples: 541954. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:17:15,455][00176] Avg episode reward: [(0, '18.023')] [2023-02-24 15:17:15,458][10336] Saving new best policy, reward=18.023! [2023-02-24 15:17:20,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3754.7, 300 sec: 3748.9). Total num frames: 2199552. Throughput: 0: 947.1. Samples: 548782. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:17:20,449][00176] Avg episode reward: [(0, '18.002')] [2023-02-24 15:17:24,569][10350] Updated weights for policy 0, policy_version 540 (0.0016) [2023-02-24 15:17:25,453][00176] Fps is (10 sec: 3274.9, 60 sec: 3686.0, 300 sec: 3721.0). Total num frames: 2211840. Throughput: 0: 905.0. Samples: 553356. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:17:25,455][00176] Avg episode reward: [(0, '17.193')] [2023-02-24 15:17:30,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3686.4, 300 sec: 3707.2). Total num frames: 2228224. Throughput: 0: 908.0. Samples: 555446. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:17:30,450][00176] Avg episode reward: [(0, '17.293')] [2023-02-24 15:17:35,447][00176] Fps is (10 sec: 3688.6, 60 sec: 3686.4, 300 sec: 3707.2). Total num frames: 2248704. Throughput: 0: 946.9. Samples: 561492. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:17:35,450][00176] Avg episode reward: [(0, '17.517')] [2023-02-24 15:17:35,568][10350] Updated weights for policy 0, policy_version 550 (0.0014) [2023-02-24 15:17:40,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3686.5, 300 sec: 3721.1). Total num frames: 2269184. Throughput: 0: 939.4. Samples: 568014. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:17:40,453][00176] Avg episode reward: [(0, '17.162')] [2023-02-24 15:17:45,449][00176] Fps is (10 sec: 3685.7, 60 sec: 3686.3, 300 sec: 3721.1). Total num frames: 2285568. Throughput: 0: 907.9. Samples: 570136. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:17:45,454][00176] Avg episode reward: [(0, '17.778')] [2023-02-24 15:17:47,917][10350] Updated weights for policy 0, policy_version 560 (0.0012) [2023-02-24 15:17:50,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3686.4, 300 sec: 3707.2). Total num frames: 2301952. Throughput: 0: 897.7. Samples: 574602. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:17:50,449][00176] Avg episode reward: [(0, '17.625')] [2023-02-24 15:17:55,447][00176] Fps is (10 sec: 4096.8, 60 sec: 3754.7, 300 sec: 3721.1). Total num frames: 2326528. Throughput: 0: 946.0. Samples: 581222. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:17:55,449][00176] Avg episode reward: [(0, '17.829')] [2023-02-24 15:17:57,205][10350] Updated weights for policy 0, policy_version 570 (0.0012) [2023-02-24 15:18:00,460][00176] Fps is (10 sec: 4499.6, 60 sec: 3685.6, 300 sec: 3734.9). Total num frames: 2347008. Throughput: 0: 946.0. Samples: 584538. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:18:00,462][00176] Avg episode reward: [(0, '16.989')] [2023-02-24 15:18:05,449][00176] Fps is (10 sec: 3276.2, 60 sec: 3686.3, 300 sec: 3721.1). Total num frames: 2359296. Throughput: 0: 907.7. Samples: 589632. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:18:05,454][00176] Avg episode reward: [(0, '15.920')] [2023-02-24 15:18:09,706][10350] Updated weights for policy 0, policy_version 580 (0.0023) [2023-02-24 15:18:10,447][00176] Fps is (10 sec: 2870.9, 60 sec: 3686.4, 300 sec: 3693.3). Total num frames: 2375680. Throughput: 0: 908.0. Samples: 594212. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:18:10,455][00176] Avg episode reward: [(0, '15.754')] [2023-02-24 15:18:15,447][00176] Fps is (10 sec: 4096.8, 60 sec: 3686.4, 300 sec: 3707.2). Total num frames: 2400256. Throughput: 0: 933.7. Samples: 597464. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:18:15,449][00176] Avg episode reward: [(0, '16.175')] [2023-02-24 15:18:18,970][10350] Updated weights for policy 0, policy_version 590 (0.0031) [2023-02-24 15:18:20,449][00176] Fps is (10 sec: 4504.8, 60 sec: 3686.3, 300 sec: 3735.0). Total num frames: 2420736. Throughput: 0: 950.2. Samples: 604252. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:18:20,456][00176] Avg episode reward: [(0, '16.088')] [2023-02-24 15:18:25,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3686.8, 300 sec: 3707.2). Total num frames: 2433024. Throughput: 0: 905.2. Samples: 608748. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:18:25,451][00176] Avg episode reward: [(0, '15.463')] [2023-02-24 15:18:30,447][00176] Fps is (10 sec: 2867.8, 60 sec: 3686.4, 300 sec: 3679.5). Total num frames: 2449408. Throughput: 0: 905.4. Samples: 610876. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:18:30,454][00176] Avg episode reward: [(0, '16.494')] [2023-02-24 15:18:30,527][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000599_2453504.pth... [2023-02-24 15:18:30,651][10336] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000383_1568768.pth [2023-02-24 15:18:31,430][10350] Updated weights for policy 0, policy_version 600 (0.0015) [2023-02-24 15:18:35,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3754.7, 300 sec: 3707.3). Total num frames: 2473984. Throughput: 0: 949.1. Samples: 617310. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:18:35,449][00176] Avg episode reward: [(0, '15.955')] [2023-02-24 15:18:40,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3754.7, 300 sec: 3721.1). Total num frames: 2494464. Throughput: 0: 953.6. Samples: 624132. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:18:40,451][00176] Avg episode reward: [(0, '16.795')] [2023-02-24 15:18:40,943][10350] Updated weights for policy 0, policy_version 610 (0.0012) [2023-02-24 15:18:45,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3754.8, 300 sec: 3721.1). Total num frames: 2510848. Throughput: 0: 928.9. Samples: 626326. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:18:45,454][00176] Avg episode reward: [(0, '17.072')] [2023-02-24 15:18:50,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3754.7, 300 sec: 3693.4). Total num frames: 2527232. Throughput: 0: 912.1. Samples: 630676. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:18:50,448][00176] Avg episode reward: [(0, '16.411')] [2023-02-24 15:18:52,987][10350] Updated weights for policy 0, policy_version 620 (0.0022) [2023-02-24 15:18:55,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3686.4, 300 sec: 3693.3). Total num frames: 2547712. Throughput: 0: 955.1. Samples: 637190. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:18:55,449][00176] Avg episode reward: [(0, '16.674')] [2023-02-24 15:19:00,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3687.2, 300 sec: 3707.2). Total num frames: 2568192. Throughput: 0: 954.4. Samples: 640414. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:19:00,449][00176] Avg episode reward: [(0, '16.671')] [2023-02-24 15:19:04,331][10350] Updated weights for policy 0, policy_version 630 (0.0029) [2023-02-24 15:19:05,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3686.5, 300 sec: 3693.3). Total num frames: 2580480. Throughput: 0: 907.3. Samples: 645080. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:19:05,450][00176] Avg episode reward: [(0, '16.340')] [2023-02-24 15:19:10,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3686.4, 300 sec: 3665.6). Total num frames: 2596864. Throughput: 0: 903.1. Samples: 649388. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:19:10,449][00176] Avg episode reward: [(0, '16.733')] [2023-02-24 15:19:15,316][10350] Updated weights for policy 0, policy_version 640 (0.0026) [2023-02-24 15:19:15,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3679.5). Total num frames: 2621440. Throughput: 0: 928.7. Samples: 652666. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:19:15,454][00176] Avg episode reward: [(0, '17.228')] [2023-02-24 15:19:20,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3686.5, 300 sec: 3707.2). Total num frames: 2641920. Throughput: 0: 933.4. Samples: 659312. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:19:20,450][00176] Avg episode reward: [(0, '17.223')] [2023-02-24 15:19:25,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3686.4, 300 sec: 3679.5). Total num frames: 2654208. Throughput: 0: 878.1. Samples: 663646. Policy #0 lag: (min: 0.0, avg: 0.3, max: 1.0) [2023-02-24 15:19:25,449][00176] Avg episode reward: [(0, '17.123')] [2023-02-24 15:19:28,134][10350] Updated weights for policy 0, policy_version 650 (0.0035) [2023-02-24 15:19:30,447][00176] Fps is (10 sec: 2457.6, 60 sec: 3618.1, 300 sec: 3651.7). Total num frames: 2666496. Throughput: 0: 872.6. Samples: 665592. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:19:30,449][00176] Avg episode reward: [(0, '17.561')] [2023-02-24 15:19:35,448][00176] Fps is (10 sec: 3276.2, 60 sec: 3549.8, 300 sec: 3651.7). Total num frames: 2686976. Throughput: 0: 897.0. Samples: 671044. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:19:35,451][00176] Avg episode reward: [(0, '17.928')] [2023-02-24 15:19:38,736][10350] Updated weights for policy 0, policy_version 660 (0.0015) [2023-02-24 15:19:40,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3549.9, 300 sec: 3665.6). Total num frames: 2707456. Throughput: 0: 889.2. Samples: 677202. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:19:40,451][00176] Avg episode reward: [(0, '17.629')] [2023-02-24 15:19:45,447][00176] Fps is (10 sec: 3277.4, 60 sec: 3481.6, 300 sec: 3651.7). Total num frames: 2719744. Throughput: 0: 859.5. Samples: 679090. Policy #0 lag: (min: 0.0, avg: 0.3, max: 2.0) [2023-02-24 15:19:45,449][00176] Avg episode reward: [(0, '18.092')] [2023-02-24 15:19:45,462][10336] Saving new best policy, reward=18.092! [2023-02-24 15:19:50,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3481.6, 300 sec: 3623.9). Total num frames: 2736128. Throughput: 0: 845.4. Samples: 683124. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:19:50,454][00176] Avg episode reward: [(0, '18.011')] [2023-02-24 15:19:52,159][10350] Updated weights for policy 0, policy_version 670 (0.0026) [2023-02-24 15:19:55,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3481.6, 300 sec: 3623.9). Total num frames: 2756608. Throughput: 0: 884.7. Samples: 689198. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:19:55,456][00176] Avg episode reward: [(0, '17.848')] [2023-02-24 15:20:00,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3481.6, 300 sec: 3651.7). Total num frames: 2777088. Throughput: 0: 884.3. Samples: 692458. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:20:00,450][00176] Avg episode reward: [(0, '17.838')] [2023-02-24 15:20:02,899][10350] Updated weights for policy 0, policy_version 680 (0.0015) [2023-02-24 15:20:05,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3481.6, 300 sec: 3623.9). Total num frames: 2789376. Throughput: 0: 845.6. Samples: 697366. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:20:05,455][00176] Avg episode reward: [(0, '18.049')] [2023-02-24 15:20:10,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3481.6, 300 sec: 3610.0). Total num frames: 2805760. Throughput: 0: 844.9. Samples: 701666. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:20:10,456][00176] Avg episode reward: [(0, '17.611')] [2023-02-24 15:20:14,527][10350] Updated weights for policy 0, policy_version 690 (0.0015) [2023-02-24 15:20:15,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3413.3, 300 sec: 3610.1). Total num frames: 2826240. Throughput: 0: 873.6. Samples: 704904. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:20:15,451][00176] Avg episode reward: [(0, '19.120')] [2023-02-24 15:20:15,521][10336] Saving new best policy, reward=19.120! [2023-02-24 15:20:20,447][00176] Fps is (10 sec: 4095.9, 60 sec: 3413.3, 300 sec: 3637.8). Total num frames: 2846720. Throughput: 0: 893.9. Samples: 711270. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:20:20,454][00176] Avg episode reward: [(0, '18.417')] [2023-02-24 15:20:25,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3481.6, 300 sec: 3637.8). Total num frames: 2863104. Throughput: 0: 855.2. Samples: 715684. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:20:25,455][00176] Avg episode reward: [(0, '18.602')] [2023-02-24 15:20:26,963][10350] Updated weights for policy 0, policy_version 700 (0.0017) [2023-02-24 15:20:30,447][00176] Fps is (10 sec: 2867.3, 60 sec: 3481.6, 300 sec: 3596.2). Total num frames: 2875392. Throughput: 0: 858.3. Samples: 717714. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:20:30,455][00176] Avg episode reward: [(0, '19.921')] [2023-02-24 15:20:30,468][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000702_2875392.pth... [2023-02-24 15:20:30,598][10336] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000490_2007040.pth [2023-02-24 15:20:30,619][10336] Saving new best policy, reward=19.921! [2023-02-24 15:20:35,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3481.7, 300 sec: 3610.0). Total num frames: 2895872. Throughput: 0: 892.8. Samples: 723298. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:20:35,455][00176] Avg episode reward: [(0, '20.938')] [2023-02-24 15:20:35,458][10336] Saving new best policy, reward=20.938! [2023-02-24 15:20:37,668][10350] Updated weights for policy 0, policy_version 710 (0.0021) [2023-02-24 15:20:40,449][00176] Fps is (10 sec: 4095.3, 60 sec: 3481.5, 300 sec: 3623.9). Total num frames: 2916352. Throughput: 0: 899.1. Samples: 729658. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:20:40,460][00176] Avg episode reward: [(0, '20.946')] [2023-02-24 15:20:40,475][10336] Saving new best policy, reward=20.946! [2023-02-24 15:20:45,449][00176] Fps is (10 sec: 3276.2, 60 sec: 3481.5, 300 sec: 3610.0). Total num frames: 2928640. Throughput: 0: 870.1. Samples: 731612. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:20:45,458][00176] Avg episode reward: [(0, '20.403')] [2023-02-24 15:20:50,447][00176] Fps is (10 sec: 2867.7, 60 sec: 3481.6, 300 sec: 3596.1). Total num frames: 2945024. Throughput: 0: 852.1. Samples: 735712. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:20:50,450][00176] Avg episode reward: [(0, '20.740')] [2023-02-24 15:20:51,174][10350] Updated weights for policy 0, policy_version 720 (0.0030) [2023-02-24 15:20:55,447][00176] Fps is (10 sec: 3687.1, 60 sec: 3481.6, 300 sec: 3596.2). Total num frames: 2965504. Throughput: 0: 877.9. Samples: 741170. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:20:55,456][00176] Avg episode reward: [(0, '19.647')] [2023-02-24 15:21:00,452][00176] Fps is (10 sec: 3684.6, 60 sec: 3413.1, 300 sec: 3610.0). Total num frames: 2981888. Throughput: 0: 871.7. Samples: 744136. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:21:00,454][00176] Avg episode reward: [(0, '18.490')] [2023-02-24 15:21:02,154][10350] Updated weights for policy 0, policy_version 730 (0.0013) [2023-02-24 15:21:05,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3481.6, 300 sec: 3610.1). Total num frames: 2998272. Throughput: 0: 835.7. Samples: 748878. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:21:05,454][00176] Avg episode reward: [(0, '18.799')] [2023-02-24 15:21:10,447][00176] Fps is (10 sec: 2868.6, 60 sec: 3413.3, 300 sec: 3568.4). Total num frames: 3010560. Throughput: 0: 826.5. Samples: 752878. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:21:10,448][00176] Avg episode reward: [(0, '19.950')] [2023-02-24 15:21:14,767][10350] Updated weights for policy 0, policy_version 740 (0.0016) [2023-02-24 15:21:15,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3413.3, 300 sec: 3582.3). Total num frames: 3031040. Throughput: 0: 847.5. Samples: 755850. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:21:15,449][00176] Avg episode reward: [(0, '19.984')] [2023-02-24 15:21:20,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3413.4, 300 sec: 3596.1). Total num frames: 3051520. Throughput: 0: 864.3. Samples: 762192. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:21:20,456][00176] Avg episode reward: [(0, '20.511')] [2023-02-24 15:21:25,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3413.3, 300 sec: 3596.2). Total num frames: 3067904. Throughput: 0: 829.2. Samples: 766972. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:21:25,449][00176] Avg episode reward: [(0, '21.783')] [2023-02-24 15:21:25,454][10336] Saving new best policy, reward=21.783! [2023-02-24 15:21:26,827][10350] Updated weights for policy 0, policy_version 750 (0.0013) [2023-02-24 15:21:30,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3413.3, 300 sec: 3568.4). Total num frames: 3080192. Throughput: 0: 829.1. Samples: 768918. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:21:30,449][00176] Avg episode reward: [(0, '22.311')] [2023-02-24 15:21:30,460][10336] Saving new best policy, reward=22.311! [2023-02-24 15:21:35,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3413.3, 300 sec: 3568.4). Total num frames: 3100672. Throughput: 0: 853.0. Samples: 774096. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:21:35,450][00176] Avg episode reward: [(0, '21.299')] [2023-02-24 15:21:38,086][10350] Updated weights for policy 0, policy_version 760 (0.0016) [2023-02-24 15:21:40,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3413.4, 300 sec: 3582.3). Total num frames: 3121152. Throughput: 0: 873.1. Samples: 780460. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:21:40,449][00176] Avg episode reward: [(0, '21.718')] [2023-02-24 15:21:45,449][00176] Fps is (10 sec: 3276.2, 60 sec: 3413.3, 300 sec: 3568.4). Total num frames: 3133440. Throughput: 0: 855.9. Samples: 782650. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:21:45,455][00176] Avg episode reward: [(0, '21.804')] [2023-02-24 15:21:50,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3413.3, 300 sec: 3554.5). Total num frames: 3149824. Throughput: 0: 839.3. Samples: 786648. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:21:50,455][00176] Avg episode reward: [(0, '21.212')] [2023-02-24 15:21:51,372][10350] Updated weights for policy 0, policy_version 770 (0.0043) [2023-02-24 15:21:55,447][00176] Fps is (10 sec: 3687.1, 60 sec: 3413.3, 300 sec: 3540.6). Total num frames: 3170304. Throughput: 0: 879.9. Samples: 792472. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:21:55,449][00176] Avg episode reward: [(0, '19.755')] [2023-02-24 15:22:00,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3481.9, 300 sec: 3568.4). Total num frames: 3190784. Throughput: 0: 886.1. Samples: 795726. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:22:00,451][00176] Avg episode reward: [(0, '20.669')] [2023-02-24 15:22:01,347][10350] Updated weights for policy 0, policy_version 780 (0.0019) [2023-02-24 15:22:05,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3413.3, 300 sec: 3554.5). Total num frames: 3203072. Throughput: 0: 858.8. Samples: 800836. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:22:05,449][00176] Avg episode reward: [(0, '19.640')] [2023-02-24 15:22:10,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3481.6, 300 sec: 3526.7). Total num frames: 3219456. Throughput: 0: 849.0. Samples: 805176. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:22:10,449][00176] Avg episode reward: [(0, '18.488')] [2023-02-24 15:22:13,528][10350] Updated weights for policy 0, policy_version 790 (0.0024) [2023-02-24 15:22:15,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3549.9, 300 sec: 3540.6). Total num frames: 3244032. Throughput: 0: 877.6. Samples: 808408. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:22:15,454][00176] Avg episode reward: [(0, '16.955')] [2023-02-24 15:22:20,452][00176] Fps is (10 sec: 4503.4, 60 sec: 3549.6, 300 sec: 3568.4). Total num frames: 3264512. Throughput: 0: 914.6. Samples: 815258. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:22:20,455][00176] Avg episode reward: [(0, '17.644')] [2023-02-24 15:22:24,054][10350] Updated weights for policy 0, policy_version 800 (0.0039) [2023-02-24 15:22:25,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3549.9, 300 sec: 3568.4). Total num frames: 3280896. Throughput: 0: 880.9. Samples: 820102. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:22:25,458][00176] Avg episode reward: [(0, '17.961')] [2023-02-24 15:22:30,447][00176] Fps is (10 sec: 2868.6, 60 sec: 3549.9, 300 sec: 3540.6). Total num frames: 3293184. Throughput: 0: 880.4. Samples: 822266. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:22:30,449][00176] Avg episode reward: [(0, '18.023')] [2023-02-24 15:22:30,511][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000805_3297280.pth... [2023-02-24 15:22:30,628][10336] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000599_2453504.pth [2023-02-24 15:22:35,137][10350] Updated weights for policy 0, policy_version 810 (0.0014) [2023-02-24 15:22:35,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3554.5). Total num frames: 3317760. Throughput: 0: 921.5. Samples: 828116. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:22:35,452][00176] Avg episode reward: [(0, '19.403')] [2023-02-24 15:22:40,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3618.1, 300 sec: 3568.4). Total num frames: 3338240. Throughput: 0: 945.1. Samples: 835002. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:22:40,449][00176] Avg episode reward: [(0, '19.885')] [2023-02-24 15:22:45,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3686.5, 300 sec: 3568.4). Total num frames: 3354624. Throughput: 0: 921.6. Samples: 837196. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:22:45,449][00176] Avg episode reward: [(0, '17.740')] [2023-02-24 15:22:46,773][10350] Updated weights for policy 0, policy_version 820 (0.0011) [2023-02-24 15:22:50,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3618.1, 300 sec: 3526.7). Total num frames: 3366912. Throughput: 0: 905.3. Samples: 841574. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:22:50,449][00176] Avg episode reward: [(0, '18.553')] [2023-02-24 15:22:55,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3686.4, 300 sec: 3540.8). Total num frames: 3391488. Throughput: 0: 949.6. Samples: 847910. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:22:55,449][00176] Avg episode reward: [(0, '17.864')] [2023-02-24 15:22:56,776][10350] Updated weights for policy 0, policy_version 830 (0.0020) [2023-02-24 15:23:00,447][00176] Fps is (10 sec: 4505.5, 60 sec: 3686.4, 300 sec: 3568.4). Total num frames: 3411968. Throughput: 0: 953.4. Samples: 851312. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:23:00,449][00176] Avg episode reward: [(0, '18.292')] [2023-02-24 15:23:05,450][00176] Fps is (10 sec: 3685.3, 60 sec: 3754.5, 300 sec: 3568.3). Total num frames: 3428352. Throughput: 0: 915.5. Samples: 856454. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:23:05,458][00176] Avg episode reward: [(0, '19.240')] [2023-02-24 15:23:09,420][10350] Updated weights for policy 0, policy_version 840 (0.0031) [2023-02-24 15:23:10,447][00176] Fps is (10 sec: 3276.9, 60 sec: 3754.7, 300 sec: 3540.6). Total num frames: 3444736. Throughput: 0: 902.2. Samples: 860702. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:23:10,452][00176] Avg episode reward: [(0, '19.510')] [2023-02-24 15:23:15,447][00176] Fps is (10 sec: 3687.6, 60 sec: 3686.4, 300 sec: 3540.6). Total num frames: 3465216. Throughput: 0: 923.9. Samples: 863840. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:23:15,452][00176] Avg episode reward: [(0, '19.932')] [2023-02-24 15:23:18,827][10350] Updated weights for policy 0, policy_version 850 (0.0012) [2023-02-24 15:23:20,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3686.7, 300 sec: 3568.4). Total num frames: 3485696. Throughput: 0: 940.4. Samples: 870432. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:23:20,451][00176] Avg episode reward: [(0, '20.480')] [2023-02-24 15:23:25,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3618.1, 300 sec: 3554.5). Total num frames: 3497984. Throughput: 0: 892.8. Samples: 875180. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:23:25,456][00176] Avg episode reward: [(0, '20.163')] [2023-02-24 15:23:30,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3686.4, 300 sec: 3526.7). Total num frames: 3514368. Throughput: 0: 890.5. Samples: 877270. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:23:30,455][00176] Avg episode reward: [(0, '19.707')] [2023-02-24 15:23:31,794][10350] Updated weights for policy 0, policy_version 860 (0.0026) [2023-02-24 15:23:35,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3526.7). Total num frames: 3534848. Throughput: 0: 922.2. Samples: 883074. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:23:35,455][00176] Avg episode reward: [(0, '21.036')] [2023-02-24 15:23:40,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3618.1, 300 sec: 3540.6). Total num frames: 3555328. Throughput: 0: 931.3. Samples: 889820. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:23:40,453][00176] Avg episode reward: [(0, '21.649')] [2023-02-24 15:23:41,996][10350] Updated weights for policy 0, policy_version 870 (0.0012) [2023-02-24 15:23:45,450][00176] Fps is (10 sec: 3685.3, 60 sec: 3618.0, 300 sec: 3540.6). Total num frames: 3571712. Throughput: 0: 902.3. Samples: 891918. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:23:45,457][00176] Avg episode reward: [(0, '20.640')] [2023-02-24 15:23:50,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3686.4, 300 sec: 3526.7). Total num frames: 3588096. Throughput: 0: 884.3. Samples: 896246. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:23:50,452][00176] Avg episode reward: [(0, '21.998')] [2023-02-24 15:23:53,568][10350] Updated weights for policy 0, policy_version 880 (0.0011) [2023-02-24 15:23:55,447][00176] Fps is (10 sec: 4097.0, 60 sec: 3686.4, 300 sec: 3540.6). Total num frames: 3612672. Throughput: 0: 932.1. Samples: 902646. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:23:55,452][00176] Avg episode reward: [(0, '22.701')] [2023-02-24 15:23:55,457][10336] Saving new best policy, reward=22.701! [2023-02-24 15:24:00,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3686.4, 300 sec: 3568.4). Total num frames: 3633152. Throughput: 0: 936.6. Samples: 905986. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:24:00,457][00176] Avg episode reward: [(0, '22.623')] [2023-02-24 15:24:04,771][10350] Updated weights for policy 0, policy_version 890 (0.0014) [2023-02-24 15:24:05,447][00176] Fps is (10 sec: 3276.9, 60 sec: 3618.3, 300 sec: 3554.5). Total num frames: 3645440. Throughput: 0: 900.8. Samples: 910968. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:24:05,450][00176] Avg episode reward: [(0, '22.644')] [2023-02-24 15:24:10,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3618.1, 300 sec: 3526.7). Total num frames: 3661824. Throughput: 0: 887.5. Samples: 915116. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:24:10,448][00176] Avg episode reward: [(0, '22.341')] [2023-02-24 15:24:15,447][00176] Fps is (10 sec: 3686.3, 60 sec: 3618.1, 300 sec: 3526.7). Total num frames: 3682304. Throughput: 0: 911.4. Samples: 918282. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:24:15,453][00176] Avg episode reward: [(0, '22.628')] [2023-02-24 15:24:16,315][10350] Updated weights for policy 0, policy_version 900 (0.0017) [2023-02-24 15:24:20,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3618.1, 300 sec: 3554.5). Total num frames: 3702784. Throughput: 0: 925.4. Samples: 924718. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:24:20,452][00176] Avg episode reward: [(0, '24.079')] [2023-02-24 15:24:20,463][10336] Saving new best policy, reward=24.079! [2023-02-24 15:24:25,447][00176] Fps is (10 sec: 3276.9, 60 sec: 3618.1, 300 sec: 3554.5). Total num frames: 3715072. Throughput: 0: 875.2. Samples: 929206. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:24:25,455][00176] Avg episode reward: [(0, '23.331')] [2023-02-24 15:24:29,247][10350] Updated weights for policy 0, policy_version 910 (0.0022) [2023-02-24 15:24:30,452][00176] Fps is (10 sec: 2865.8, 60 sec: 3617.8, 300 sec: 3540.6). Total num frames: 3731456. Throughput: 0: 873.3. Samples: 931218. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:24:30,456][00176] Avg episode reward: [(0, '22.480')] [2023-02-24 15:24:30,473][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000911_3731456.pth... [2023-02-24 15:24:30,590][10336] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000702_2875392.pth [2023-02-24 15:24:35,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3618.1, 300 sec: 3540.6). Total num frames: 3751936. Throughput: 0: 897.9. Samples: 936650. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:24:35,456][00176] Avg episode reward: [(0, '21.606')] [2023-02-24 15:24:39,101][10350] Updated weights for policy 0, policy_version 920 (0.0018) [2023-02-24 15:24:40,447][00176] Fps is (10 sec: 4098.0, 60 sec: 3618.1, 300 sec: 3568.4). Total num frames: 3772416. Throughput: 0: 899.8. Samples: 943136. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:24:40,452][00176] Avg episode reward: [(0, '20.670')] [2023-02-24 15:24:45,449][00176] Fps is (10 sec: 3276.1, 60 sec: 3549.9, 300 sec: 3554.5). Total num frames: 3784704. Throughput: 0: 871.9. Samples: 945222. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:24:45,457][00176] Avg episode reward: [(0, '20.487')] [2023-02-24 15:24:50,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3549.9, 300 sec: 3540.6). Total num frames: 3801088. Throughput: 0: 849.9. Samples: 949212. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:24:50,449][00176] Avg episode reward: [(0, '19.980')] [2023-02-24 15:24:52,355][10350] Updated weights for policy 0, policy_version 930 (0.0030) [2023-02-24 15:24:55,447][00176] Fps is (10 sec: 3687.1, 60 sec: 3481.6, 300 sec: 3540.6). Total num frames: 3821568. Throughput: 0: 888.1. Samples: 955082. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:24:55,450][00176] Avg episode reward: [(0, '20.078')] [2023-02-24 15:25:00,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3481.6, 300 sec: 3568.4). Total num frames: 3842048. Throughput: 0: 891.5. Samples: 958398. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:25:00,454][00176] Avg episode reward: [(0, '21.629')] [2023-02-24 15:25:03,017][10350] Updated weights for policy 0, policy_version 940 (0.0038) [2023-02-24 15:25:05,450][00176] Fps is (10 sec: 3275.9, 60 sec: 3481.4, 300 sec: 3554.5). Total num frames: 3854336. Throughput: 0: 861.9. Samples: 963504. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:25:05,455][00176] Avg episode reward: [(0, '21.827')] [2023-02-24 15:25:10,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3481.6, 300 sec: 3540.6). Total num frames: 3870720. Throughput: 0: 855.7. Samples: 967714. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:25:10,453][00176] Avg episode reward: [(0, '21.789')] [2023-02-24 15:25:14,596][10350] Updated weights for policy 0, policy_version 950 (0.0017) [2023-02-24 15:25:15,447][00176] Fps is (10 sec: 3687.5, 60 sec: 3481.6, 300 sec: 3540.6). Total num frames: 3891200. Throughput: 0: 882.7. Samples: 970934. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:25:15,452][00176] Avg episode reward: [(0, '21.395')] [2023-02-24 15:25:20,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3481.6, 300 sec: 3554.5). Total num frames: 3911680. Throughput: 0: 912.4. Samples: 977708. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:25:20,449][00176] Avg episode reward: [(0, '22.035')] [2023-02-24 15:25:25,447][00176] Fps is (10 sec: 3686.2, 60 sec: 3549.8, 300 sec: 3568.4). Total num frames: 3928064. Throughput: 0: 871.9. Samples: 982372. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:25:25,455][00176] Avg episode reward: [(0, '21.789')] [2023-02-24 15:25:26,319][10350] Updated weights for policy 0, policy_version 960 (0.0013) [2023-02-24 15:25:30,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3550.2, 300 sec: 3554.5). Total num frames: 3944448. Throughput: 0: 872.8. Samples: 984496. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:25:30,449][00176] Avg episode reward: [(0, '21.186')] [2023-02-24 15:25:35,447][00176] Fps is (10 sec: 3686.6, 60 sec: 3549.9, 300 sec: 3554.5). Total num frames: 3964928. Throughput: 0: 916.4. Samples: 990452. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:25:35,449][00176] Avg episode reward: [(0, '20.673')] [2023-02-24 15:25:36,496][10350] Updated weights for policy 0, policy_version 970 (0.0027) [2023-02-24 15:25:40,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3618.1, 300 sec: 3596.2). Total num frames: 3989504. Throughput: 0: 939.3. Samples: 997348. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:25:40,453][00176] Avg episode reward: [(0, '21.109')] [2023-02-24 15:25:45,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3618.3, 300 sec: 3582.3). Total num frames: 4001792. Throughput: 0: 914.0. Samples: 999528. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:25:45,448][00176] Avg episode reward: [(0, '20.664')] [2023-02-24 15:25:48,709][10350] Updated weights for policy 0, policy_version 980 (0.0019) [2023-02-24 15:25:50,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3618.1, 300 sec: 3568.4). Total num frames: 4018176. Throughput: 0: 899.2. Samples: 1003964. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:25:50,450][00176] Avg episode reward: [(0, '20.195')] [2023-02-24 15:25:55,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3596.2). Total num frames: 4042752. Throughput: 0: 951.5. Samples: 1010530. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:25:55,453][00176] Avg episode reward: [(0, '19.917')] [2023-02-24 15:25:57,690][10350] Updated weights for policy 0, policy_version 990 (0.0015) [2023-02-24 15:26:00,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3686.4, 300 sec: 3610.0). Total num frames: 4063232. Throughput: 0: 959.2. Samples: 1014096. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:26:00,452][00176] Avg episode reward: [(0, '20.575')] [2023-02-24 15:26:05,448][00176] Fps is (10 sec: 3685.9, 60 sec: 3754.8, 300 sec: 3623.9). Total num frames: 4079616. Throughput: 0: 926.0. Samples: 1019380. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:26:05,456][00176] Avg episode reward: [(0, '20.724')] [2023-02-24 15:26:10,094][10350] Updated weights for policy 0, policy_version 1000 (0.0029) [2023-02-24 15:26:10,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3754.7, 300 sec: 3610.0). Total num frames: 4096000. Throughput: 0: 924.1. Samples: 1023958. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:26:10,449][00176] Avg episode reward: [(0, '20.052')] [2023-02-24 15:26:15,447][00176] Fps is (10 sec: 4096.6, 60 sec: 3822.9, 300 sec: 3623.9). Total num frames: 4120576. Throughput: 0: 956.4. Samples: 1027532. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:26:15,450][00176] Avg episode reward: [(0, '19.931')] [2023-02-24 15:26:18,545][10350] Updated weights for policy 0, policy_version 1010 (0.0015) [2023-02-24 15:26:20,447][00176] Fps is (10 sec: 4505.5, 60 sec: 3822.9, 300 sec: 3637.8). Total num frames: 4141056. Throughput: 0: 983.7. Samples: 1034720. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:26:20,455][00176] Avg episode reward: [(0, '20.749')] [2023-02-24 15:26:25,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3823.0, 300 sec: 3651.7). Total num frames: 4157440. Throughput: 0: 937.8. Samples: 1039550. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:26:25,449][00176] Avg episode reward: [(0, '20.364')] [2023-02-24 15:26:30,447][00176] Fps is (10 sec: 3276.9, 60 sec: 3822.9, 300 sec: 3637.8). Total num frames: 4173824. Throughput: 0: 937.4. Samples: 1041712. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:26:30,449][00176] Avg episode reward: [(0, '19.988')] [2023-02-24 15:26:30,461][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001019_4173824.pth... [2023-02-24 15:26:30,583][10336] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000805_3297280.pth [2023-02-24 15:26:30,789][10350] Updated weights for policy 0, policy_version 1020 (0.0012) [2023-02-24 15:26:35,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3891.2, 300 sec: 3651.7). Total num frames: 4198400. Throughput: 0: 982.1. Samples: 1048158. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:26:35,452][00176] Avg episode reward: [(0, '20.343')] [2023-02-24 15:26:39,763][10350] Updated weights for policy 0, policy_version 1030 (0.0015) [2023-02-24 15:26:40,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3822.9, 300 sec: 3679.5). Total num frames: 4218880. Throughput: 0: 990.3. Samples: 1055094. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:26:40,452][00176] Avg episode reward: [(0, '18.807')] [2023-02-24 15:26:45,456][00176] Fps is (10 sec: 3273.9, 60 sec: 3822.4, 300 sec: 3665.5). Total num frames: 4231168. Throughput: 0: 959.4. Samples: 1057276. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:26:45,462][00176] Avg episode reward: [(0, '18.852')] [2023-02-24 15:26:50,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3891.2, 300 sec: 3665.6). Total num frames: 4251648. Throughput: 0: 946.3. Samples: 1061964. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:26:50,449][00176] Avg episode reward: [(0, '19.625')] [2023-02-24 15:26:51,522][10350] Updated weights for policy 0, policy_version 1040 (0.0027) [2023-02-24 15:26:55,447][00176] Fps is (10 sec: 4509.6, 60 sec: 3891.2, 300 sec: 3679.5). Total num frames: 4276224. Throughput: 0: 1003.0. Samples: 1069092. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:26:55,449][00176] Avg episode reward: [(0, '21.409')] [2023-02-24 15:27:00,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3891.2, 300 sec: 3707.2). Total num frames: 4296704. Throughput: 0: 1002.1. Samples: 1072628. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:27:00,451][00176] Avg episode reward: [(0, '21.761')] [2023-02-24 15:27:01,544][10350] Updated weights for policy 0, policy_version 1050 (0.0011) [2023-02-24 15:27:05,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3823.0, 300 sec: 3693.3). Total num frames: 4308992. Throughput: 0: 944.8. Samples: 1077234. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:27:05,454][00176] Avg episode reward: [(0, '23.349')] [2023-02-24 15:27:10,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3959.5, 300 sec: 3693.3). Total num frames: 4333568. Throughput: 0: 964.9. Samples: 1082972. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:27:10,449][00176] Avg episode reward: [(0, '25.616')] [2023-02-24 15:27:10,464][10336] Saving new best policy, reward=25.616! [2023-02-24 15:27:12,037][10350] Updated weights for policy 0, policy_version 1060 (0.0023) [2023-02-24 15:27:15,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3891.2, 300 sec: 3693.4). Total num frames: 4354048. Throughput: 0: 993.8. Samples: 1086432. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:27:15,450][00176] Avg episode reward: [(0, '26.516')] [2023-02-24 15:27:15,452][10336] Saving new best policy, reward=26.516! [2023-02-24 15:27:20,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3823.0, 300 sec: 3693.3). Total num frames: 4370432. Throughput: 0: 985.9. Samples: 1092524. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:27:20,449][00176] Avg episode reward: [(0, '26.725')] [2023-02-24 15:27:20,458][10336] Saving new best policy, reward=26.725! [2023-02-24 15:27:23,994][10350] Updated weights for policy 0, policy_version 1070 (0.0015) [2023-02-24 15:27:25,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3822.9, 300 sec: 3707.2). Total num frames: 4386816. Throughput: 0: 923.0. Samples: 1096630. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:27:25,453][00176] Avg episode reward: [(0, '25.944')] [2023-02-24 15:27:30,448][00176] Fps is (10 sec: 3686.1, 60 sec: 3891.1, 300 sec: 3693.3). Total num frames: 4407296. Throughput: 0: 938.0. Samples: 1099480. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:27:30,450][00176] Avg episode reward: [(0, '23.575')] [2023-02-24 15:27:33,534][10350] Updated weights for policy 0, policy_version 1080 (0.0020) [2023-02-24 15:27:35,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3891.2, 300 sec: 3707.2). Total num frames: 4431872. Throughput: 0: 988.7. Samples: 1106456. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:27:35,452][00176] Avg episode reward: [(0, '22.781')] [2023-02-24 15:27:40,447][00176] Fps is (10 sec: 4096.4, 60 sec: 3822.9, 300 sec: 3707.2). Total num frames: 4448256. Throughput: 0: 950.6. Samples: 1111870. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:27:40,451][00176] Avg episode reward: [(0, '22.126')] [2023-02-24 15:27:45,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3823.5, 300 sec: 3707.2). Total num frames: 4460544. Throughput: 0: 922.0. Samples: 1114116. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:27:45,449][00176] Avg episode reward: [(0, '22.191')] [2023-02-24 15:27:45,600][10350] Updated weights for policy 0, policy_version 1090 (0.0025) [2023-02-24 15:27:50,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3891.2, 300 sec: 3707.2). Total num frames: 4485120. Throughput: 0: 952.0. Samples: 1120074. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:27:50,449][00176] Avg episode reward: [(0, '22.069')] [2023-02-24 15:27:54,446][10350] Updated weights for policy 0, policy_version 1100 (0.0012) [2023-02-24 15:27:55,448][00176] Fps is (10 sec: 4504.8, 60 sec: 3822.8, 300 sec: 3707.2). Total num frames: 4505600. Throughput: 0: 979.3. Samples: 1127042. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:27:55,453][00176] Avg episode reward: [(0, '22.633')] [2023-02-24 15:28:00,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3754.7, 300 sec: 3707.3). Total num frames: 4521984. Throughput: 0: 953.7. Samples: 1129350. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:28:00,449][00176] Avg episode reward: [(0, '22.652')] [2023-02-24 15:28:05,447][00176] Fps is (10 sec: 3277.4, 60 sec: 3822.9, 300 sec: 3707.2). Total num frames: 4538368. Throughput: 0: 913.9. Samples: 1133648. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:28:05,453][00176] Avg episode reward: [(0, '22.816')] [2023-02-24 15:28:06,587][10350] Updated weights for policy 0, policy_version 1110 (0.0024) [2023-02-24 15:28:10,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3822.9, 300 sec: 3721.1). Total num frames: 4562944. Throughput: 0: 978.2. Samples: 1140650. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:28:10,452][00176] Avg episode reward: [(0, '22.730')] [2023-02-24 15:28:15,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3822.9, 300 sec: 3721.1). Total num frames: 4583424. Throughput: 0: 992.5. Samples: 1144140. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:28:15,450][00176] Avg episode reward: [(0, '22.103')] [2023-02-24 15:28:16,444][10350] Updated weights for policy 0, policy_version 1120 (0.0014) [2023-02-24 15:28:20,447][00176] Fps is (10 sec: 3276.6, 60 sec: 3754.6, 300 sec: 3721.1). Total num frames: 4595712. Throughput: 0: 941.5. Samples: 1148826. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:28:20,450][00176] Avg episode reward: [(0, '23.531')] [2023-02-24 15:28:25,448][00176] Fps is (10 sec: 3276.5, 60 sec: 3822.9, 300 sec: 3735.0). Total num frames: 4616192. Throughput: 0: 940.6. Samples: 1154196. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:28:25,454][00176] Avg episode reward: [(0, '23.645')] [2023-02-24 15:28:27,485][10350] Updated weights for policy 0, policy_version 1130 (0.0020) [2023-02-24 15:28:30,450][00176] Fps is (10 sec: 4504.2, 60 sec: 3891.0, 300 sec: 3748.8). Total num frames: 4640768. Throughput: 0: 969.6. Samples: 1157750. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:28:30,457][00176] Avg episode reward: [(0, '22.710')] [2023-02-24 15:28:30,470][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001133_4640768.pth... [2023-02-24 15:28:30,608][10336] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000911_3731456.pth [2023-02-24 15:28:35,447][00176] Fps is (10 sec: 4096.4, 60 sec: 3754.7, 300 sec: 3735.0). Total num frames: 4657152. Throughput: 0: 977.2. Samples: 1164046. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:28:35,452][00176] Avg episode reward: [(0, '23.146')] [2023-02-24 15:28:39,077][10350] Updated weights for policy 0, policy_version 1140 (0.0013) [2023-02-24 15:28:40,448][00176] Fps is (10 sec: 2868.0, 60 sec: 3686.3, 300 sec: 3721.1). Total num frames: 4669440. Throughput: 0: 914.4. Samples: 1168190. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:28:40,451][00176] Avg episode reward: [(0, '23.144')] [2023-02-24 15:28:45,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3891.2, 300 sec: 3748.9). Total num frames: 4694016. Throughput: 0: 921.6. Samples: 1170824. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:28:45,449][00176] Avg episode reward: [(0, '21.710')] [2023-02-24 15:28:49,331][10350] Updated weights for policy 0, policy_version 1150 (0.0015) [2023-02-24 15:28:50,447][00176] Fps is (10 sec: 4506.0, 60 sec: 3822.9, 300 sec: 3735.0). Total num frames: 4714496. Throughput: 0: 969.4. Samples: 1177272. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:28:50,449][00176] Avg episode reward: [(0, '22.979')] [2023-02-24 15:28:55,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3686.5, 300 sec: 3707.2). Total num frames: 4726784. Throughput: 0: 922.8. Samples: 1182174. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:28:55,453][00176] Avg episode reward: [(0, '23.571')] [2023-02-24 15:29:00,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3686.4, 300 sec: 3721.1). Total num frames: 4743168. Throughput: 0: 888.7. Samples: 1184132. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:29:00,449][00176] Avg episode reward: [(0, '23.241')] [2023-02-24 15:29:02,263][10350] Updated weights for policy 0, policy_version 1160 (0.0050) [2023-02-24 15:29:05,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3754.7, 300 sec: 3735.0). Total num frames: 4763648. Throughput: 0: 906.3. Samples: 1189610. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:29:05,449][00176] Avg episode reward: [(0, '23.547')] [2023-02-24 15:29:10,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3735.0). Total num frames: 4784128. Throughput: 0: 930.5. Samples: 1196066. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:29:10,449][00176] Avg episode reward: [(0, '23.202')] [2023-02-24 15:29:13,015][10350] Updated weights for policy 0, policy_version 1170 (0.0017) [2023-02-24 15:29:15,452][00176] Fps is (10 sec: 3275.2, 60 sec: 3549.6, 300 sec: 3707.2). Total num frames: 4796416. Throughput: 0: 901.4. Samples: 1198316. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:29:15,454][00176] Avg episode reward: [(0, '24.870')] [2023-02-24 15:29:20,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3618.2, 300 sec: 3721.1). Total num frames: 4812800. Throughput: 0: 856.6. Samples: 1202594. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:29:20,457][00176] Avg episode reward: [(0, '24.461')] [2023-02-24 15:29:24,213][10350] Updated weights for policy 0, policy_version 1180 (0.0030) [2023-02-24 15:29:25,447][00176] Fps is (10 sec: 4098.0, 60 sec: 3686.5, 300 sec: 3748.9). Total num frames: 4837376. Throughput: 0: 909.4. Samples: 1209110. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:29:25,454][00176] Avg episode reward: [(0, '24.278')] [2023-02-24 15:29:30,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3550.1, 300 sec: 3735.0). Total num frames: 4853760. Throughput: 0: 924.1. Samples: 1212410. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:29:30,449][00176] Avg episode reward: [(0, '23.977')] [2023-02-24 15:29:35,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3549.9, 300 sec: 3721.1). Total num frames: 4870144. Throughput: 0: 886.6. Samples: 1217170. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:29:35,450][00176] Avg episode reward: [(0, '22.884')] [2023-02-24 15:29:36,033][10350] Updated weights for policy 0, policy_version 1190 (0.0027) [2023-02-24 15:29:40,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3686.5, 300 sec: 3748.9). Total num frames: 4890624. Throughput: 0: 896.0. Samples: 1222496. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:29:40,449][00176] Avg episode reward: [(0, '23.612')] [2023-02-24 15:29:45,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3618.1, 300 sec: 3762.8). Total num frames: 4911104. Throughput: 0: 929.0. Samples: 1225936. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:29:45,450][00176] Avg episode reward: [(0, '22.943')] [2023-02-24 15:29:45,482][10350] Updated weights for policy 0, policy_version 1200 (0.0012) [2023-02-24 15:29:50,454][00176] Fps is (10 sec: 4093.1, 60 sec: 3617.7, 300 sec: 3762.7). Total num frames: 4931584. Throughput: 0: 955.5. Samples: 1232612. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:29:50,457][00176] Avg episode reward: [(0, '23.677')] [2023-02-24 15:29:55,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3686.4, 300 sec: 3748.9). Total num frames: 4947968. Throughput: 0: 909.4. Samples: 1236988. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:29:55,456][00176] Avg episode reward: [(0, '22.802')] [2023-02-24 15:29:57,640][10350] Updated weights for policy 0, policy_version 1210 (0.0024) [2023-02-24 15:30:00,450][00176] Fps is (10 sec: 3687.9, 60 sec: 3754.5, 300 sec: 3776.7). Total num frames: 4968448. Throughput: 0: 917.5. Samples: 1239602. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:30:00,451][00176] Avg episode reward: [(0, '23.894')] [2023-02-24 15:30:05,447][00176] Fps is (10 sec: 4096.1, 60 sec: 3754.7, 300 sec: 3790.5). Total num frames: 4988928. Throughput: 0: 977.6. Samples: 1246588. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:30:05,449][00176] Avg episode reward: [(0, '24.380')] [2023-02-24 15:30:06,560][10350] Updated weights for policy 0, policy_version 1220 (0.0012) [2023-02-24 15:30:10,447][00176] Fps is (10 sec: 3687.4, 60 sec: 3686.4, 300 sec: 3776.6). Total num frames: 5005312. Throughput: 0: 954.2. Samples: 1252048. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:30:10,456][00176] Avg episode reward: [(0, '24.220')] [2023-02-24 15:30:15,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3755.0, 300 sec: 3762.8). Total num frames: 5021696. Throughput: 0: 928.1. Samples: 1254176. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:30:15,455][00176] Avg episode reward: [(0, '23.035')] [2023-02-24 15:30:18,624][10350] Updated weights for policy 0, policy_version 1230 (0.0026) [2023-02-24 15:30:20,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3891.2, 300 sec: 3790.5). Total num frames: 5046272. Throughput: 0: 950.4. Samples: 1259936. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:30:20,450][00176] Avg episode reward: [(0, '20.969')] [2023-02-24 15:30:25,447][00176] Fps is (10 sec: 4505.5, 60 sec: 3822.9, 300 sec: 3804.4). Total num frames: 5066752. Throughput: 0: 990.9. Samples: 1267086. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:30:25,455][00176] Avg episode reward: [(0, '20.846')] [2023-02-24 15:30:28,355][10350] Updated weights for policy 0, policy_version 1240 (0.0012) [2023-02-24 15:30:30,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3822.9, 300 sec: 3790.5). Total num frames: 5083136. Throughput: 0: 974.1. Samples: 1269772. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:30:30,449][00176] Avg episode reward: [(0, '20.371')] [2023-02-24 15:30:30,466][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001241_5083136.pth... [2023-02-24 15:30:30,642][10336] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001019_4173824.pth [2023-02-24 15:30:35,447][00176] Fps is (10 sec: 3276.9, 60 sec: 3822.9, 300 sec: 3762.8). Total num frames: 5099520. Throughput: 0: 925.5. Samples: 1274252. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:30:35,454][00176] Avg episode reward: [(0, '20.946')] [2023-02-24 15:30:39,352][10350] Updated weights for policy 0, policy_version 1250 (0.0021) [2023-02-24 15:30:40,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3891.2, 300 sec: 3804.4). Total num frames: 5124096. Throughput: 0: 975.6. Samples: 1280892. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:30:40,455][00176] Avg episode reward: [(0, '22.150')] [2023-02-24 15:30:45,448][00176] Fps is (10 sec: 4504.9, 60 sec: 3891.1, 300 sec: 3818.3). Total num frames: 5144576. Throughput: 0: 996.0. Samples: 1284422. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:30:45,453][00176] Avg episode reward: [(0, '22.537')] [2023-02-24 15:30:49,904][10350] Updated weights for policy 0, policy_version 1260 (0.0020) [2023-02-24 15:30:50,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3823.4, 300 sec: 3790.5). Total num frames: 5160960. Throughput: 0: 956.3. Samples: 1289622. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:30:50,451][00176] Avg episode reward: [(0, '22.703')] [2023-02-24 15:30:55,447][00176] Fps is (10 sec: 3277.3, 60 sec: 3822.9, 300 sec: 3776.7). Total num frames: 5177344. Throughput: 0: 947.2. Samples: 1294670. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:30:55,449][00176] Avg episode reward: [(0, '22.635')] [2023-02-24 15:30:59,985][10350] Updated weights for policy 0, policy_version 1270 (0.0019) [2023-02-24 15:31:00,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3891.4, 300 sec: 3804.4). Total num frames: 5201920. Throughput: 0: 977.8. Samples: 1298178. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:31:00,454][00176] Avg episode reward: [(0, '22.031')] [2023-02-24 15:31:05,447][00176] Fps is (10 sec: 4505.4, 60 sec: 3891.2, 300 sec: 3818.3). Total num frames: 5222400. Throughput: 0: 1004.7. Samples: 1305148. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:31:05,458][00176] Avg episode reward: [(0, '20.744')] [2023-02-24 15:31:10,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3891.2, 300 sec: 3790.5). Total num frames: 5238784. Throughput: 0: 945.3. Samples: 1309624. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:31:10,449][00176] Avg episode reward: [(0, '20.218')] [2023-02-24 15:31:11,503][10350] Updated weights for policy 0, policy_version 1280 (0.0023) [2023-02-24 15:31:15,447][00176] Fps is (10 sec: 3686.6, 60 sec: 3959.5, 300 sec: 3790.5). Total num frames: 5259264. Throughput: 0: 940.6. Samples: 1312100. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:31:15,449][00176] Avg episode reward: [(0, '22.566')] [2023-02-24 15:31:20,325][10350] Updated weights for policy 0, policy_version 1290 (0.0021) [2023-02-24 15:31:20,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3959.5, 300 sec: 3818.3). Total num frames: 5283840. Throughput: 0: 1002.3. Samples: 1319354. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:31:20,449][00176] Avg episode reward: [(0, '22.433')] [2023-02-24 15:31:25,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3891.2, 300 sec: 3818.3). Total num frames: 5300224. Throughput: 0: 986.7. Samples: 1325292. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:31:25,453][00176] Avg episode reward: [(0, '23.025')] [2023-02-24 15:31:30,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3891.2, 300 sec: 3790.5). Total num frames: 5316608. Throughput: 0: 958.2. Samples: 1327538. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:31:30,456][00176] Avg episode reward: [(0, '22.359')] [2023-02-24 15:31:32,405][10350] Updated weights for policy 0, policy_version 1300 (0.0019) [2023-02-24 15:31:35,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3959.5, 300 sec: 3790.5). Total num frames: 5337088. Throughput: 0: 963.6. Samples: 1332984. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:31:35,449][00176] Avg episode reward: [(0, '23.732')] [2023-02-24 15:31:40,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3959.5, 300 sec: 3832.3). Total num frames: 5361664. Throughput: 0: 1006.9. Samples: 1339980. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:31:40,449][00176] Avg episode reward: [(0, '22.680')] [2023-02-24 15:31:41,482][10350] Updated weights for policy 0, policy_version 1310 (0.0022) [2023-02-24 15:31:45,453][00176] Fps is (10 sec: 4093.6, 60 sec: 3890.9, 300 sec: 3818.2). Total num frames: 5378048. Throughput: 0: 993.6. Samples: 1342898. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:31:45,456][00176] Avg episode reward: [(0, '22.364')] [2023-02-24 15:31:50,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3822.9, 300 sec: 3776.7). Total num frames: 5390336. Throughput: 0: 935.6. Samples: 1347248. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:31:50,449][00176] Avg episode reward: [(0, '23.030')] [2023-02-24 15:31:53,721][10350] Updated weights for policy 0, policy_version 1320 (0.0014) [2023-02-24 15:31:55,447][00176] Fps is (10 sec: 3278.7, 60 sec: 3891.2, 300 sec: 3776.7). Total num frames: 5410816. Throughput: 0: 969.9. Samples: 1353270. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:31:55,448][00176] Avg episode reward: [(0, '22.457')] [2023-02-24 15:32:00,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3891.2, 300 sec: 3818.3). Total num frames: 5435392. Throughput: 0: 991.5. Samples: 1356716. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:32:00,451][00176] Avg episode reward: [(0, '22.320')] [2023-02-24 15:32:04,037][10350] Updated weights for policy 0, policy_version 1330 (0.0012) [2023-02-24 15:32:05,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3754.7, 300 sec: 3776.6). Total num frames: 5447680. Throughput: 0: 946.5. Samples: 1361948. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:32:05,453][00176] Avg episode reward: [(0, '22.208')] [2023-02-24 15:32:10,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3754.7, 300 sec: 3762.8). Total num frames: 5464064. Throughput: 0: 911.0. Samples: 1366286. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:32:10,450][00176] Avg episode reward: [(0, '21.646')] [2023-02-24 15:32:15,309][10350] Updated weights for policy 0, policy_version 1340 (0.0023) [2023-02-24 15:32:15,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3822.9, 300 sec: 3790.5). Total num frames: 5488640. Throughput: 0: 935.3. Samples: 1369628. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:32:15,449][00176] Avg episode reward: [(0, '21.216')] [2023-02-24 15:32:20,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3790.5). Total num frames: 5505024. Throughput: 0: 965.0. Samples: 1376408. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:32:20,450][00176] Avg episode reward: [(0, '21.252')] [2023-02-24 15:32:25,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3686.4, 300 sec: 3776.7). Total num frames: 5521408. Throughput: 0: 902.2. Samples: 1380578. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:32:25,452][00176] Avg episode reward: [(0, '22.518')] [2023-02-24 15:32:28,094][10350] Updated weights for policy 0, policy_version 1350 (0.0018) [2023-02-24 15:32:30,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3686.4, 300 sec: 3748.9). Total num frames: 5537792. Throughput: 0: 882.0. Samples: 1382584. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:32:30,449][00176] Avg episode reward: [(0, '22.510')] [2023-02-24 15:32:30,465][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001352_5537792.pth... [2023-02-24 15:32:30,600][10336] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001133_4640768.pth [2023-02-24 15:32:35,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3754.7, 300 sec: 3776.7). Total num frames: 5562368. Throughput: 0: 929.2. Samples: 1389062. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:32:35,454][00176] Avg episode reward: [(0, '21.793')] [2023-02-24 15:32:37,156][10350] Updated weights for policy 0, policy_version 1360 (0.0015) [2023-02-24 15:32:40,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3618.1, 300 sec: 3790.5). Total num frames: 5578752. Throughput: 0: 931.2. Samples: 1395172. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:32:40,457][00176] Avg episode reward: [(0, '20.646')] [2023-02-24 15:32:45,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3618.5, 300 sec: 3762.8). Total num frames: 5595136. Throughput: 0: 902.4. Samples: 1397326. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:32:45,450][00176] Avg episode reward: [(0, '20.105')] [2023-02-24 15:32:48,965][10350] Updated weights for policy 0, policy_version 1370 (0.0018) [2023-02-24 15:32:50,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3754.7, 300 sec: 3762.8). Total num frames: 5615616. Throughput: 0: 906.3. Samples: 1402730. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:32:50,457][00176] Avg episode reward: [(0, '21.111')] [2023-02-24 15:32:55,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3822.9, 300 sec: 3790.5). Total num frames: 5640192. Throughput: 0: 967.8. Samples: 1409836. Policy #0 lag: (min: 0.0, avg: 0.3, max: 1.0) [2023-02-24 15:32:55,456][00176] Avg episode reward: [(0, '21.046')] [2023-02-24 15:32:58,225][10350] Updated weights for policy 0, policy_version 1380 (0.0015) [2023-02-24 15:33:00,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3790.5). Total num frames: 5656576. Throughput: 0: 967.8. Samples: 1413178. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:33:00,452][00176] Avg episode reward: [(0, '20.584')] [2023-02-24 15:33:05,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3754.7, 300 sec: 3762.8). Total num frames: 5672960. Throughput: 0: 919.1. Samples: 1417766. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:33:05,453][00176] Avg episode reward: [(0, '21.200')] [2023-02-24 15:33:09,437][10350] Updated weights for policy 0, policy_version 1390 (0.0017) [2023-02-24 15:33:10,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3891.2, 300 sec: 3776.7). Total num frames: 5697536. Throughput: 0: 962.3. Samples: 1423880. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:33:10,454][00176] Avg episode reward: [(0, '23.609')] [2023-02-24 15:33:15,447][00176] Fps is (10 sec: 4505.7, 60 sec: 3822.9, 300 sec: 3804.4). Total num frames: 5718016. Throughput: 0: 996.9. Samples: 1427444. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:33:15,460][00176] Avg episode reward: [(0, '23.503')] [2023-02-24 15:33:19,634][10350] Updated weights for policy 0, policy_version 1400 (0.0022) [2023-02-24 15:33:20,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3822.9, 300 sec: 3790.5). Total num frames: 5734400. Throughput: 0: 983.4. Samples: 1433316. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:33:20,452][00176] Avg episode reward: [(0, '24.498')] [2023-02-24 15:33:25,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3822.9, 300 sec: 3762.8). Total num frames: 5750784. Throughput: 0: 950.9. Samples: 1437962. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:33:25,458][00176] Avg episode reward: [(0, '24.555')] [2023-02-24 15:33:30,236][10350] Updated weights for policy 0, policy_version 1410 (0.0015) [2023-02-24 15:33:30,454][00176] Fps is (10 sec: 4093.0, 60 sec: 3959.0, 300 sec: 3790.4). Total num frames: 5775360. Throughput: 0: 974.0. Samples: 1441162. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:33:30,456][00176] Avg episode reward: [(0, '24.709')] [2023-02-24 15:33:35,451][00176] Fps is (10 sec: 4913.2, 60 sec: 3959.2, 300 sec: 3832.1). Total num frames: 5799936. Throughput: 0: 1014.6. Samples: 1448392. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:33:35,457][00176] Avg episode reward: [(0, '22.913')] [2023-02-24 15:33:40,447][00176] Fps is (10 sec: 3689.1, 60 sec: 3891.2, 300 sec: 3790.5). Total num frames: 5812224. Throughput: 0: 970.5. Samples: 1453508. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:33:40,453][00176] Avg episode reward: [(0, '22.837')] [2023-02-24 15:33:40,991][10350] Updated weights for policy 0, policy_version 1420 (0.0011) [2023-02-24 15:33:45,447][00176] Fps is (10 sec: 2868.4, 60 sec: 3891.2, 300 sec: 3776.7). Total num frames: 5828608. Throughput: 0: 944.5. Samples: 1455682. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:33:45,453][00176] Avg episode reward: [(0, '20.973')] [2023-02-24 15:33:50,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3959.5, 300 sec: 3818.3). Total num frames: 5853184. Throughput: 0: 984.6. Samples: 1462072. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:33:50,456][00176] Avg episode reward: [(0, '21.231')] [2023-02-24 15:33:50,928][10350] Updated weights for policy 0, policy_version 1430 (0.0022) [2023-02-24 15:33:55,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3891.2, 300 sec: 3832.2). Total num frames: 5873664. Throughput: 0: 998.9. Samples: 1468830. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:33:55,452][00176] Avg episode reward: [(0, '22.009')] [2023-02-24 15:34:00,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3822.9, 300 sec: 3804.4). Total num frames: 5885952. Throughput: 0: 967.6. Samples: 1470986. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:34:00,453][00176] Avg episode reward: [(0, '21.958')] [2023-02-24 15:34:03,218][10350] Updated weights for policy 0, policy_version 1440 (0.0025) [2023-02-24 15:34:05,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3891.2, 300 sec: 3804.4). Total num frames: 5906432. Throughput: 0: 936.0. Samples: 1475438. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:34:05,454][00176] Avg episode reward: [(0, '22.495')] [2023-02-24 15:34:10,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3891.2, 300 sec: 3846.1). Total num frames: 5931008. Throughput: 0: 993.9. Samples: 1482686. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:34:10,449][00176] Avg episode reward: [(0, '23.272')] [2023-02-24 15:34:11,767][10350] Updated weights for policy 0, policy_version 1450 (0.0019) [2023-02-24 15:34:15,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3891.2, 300 sec: 3860.0). Total num frames: 5951488. Throughput: 0: 1002.4. Samples: 1486264. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:34:15,449][00176] Avg episode reward: [(0, '22.754')] [2023-02-24 15:34:20,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3891.2, 300 sec: 3832.2). Total num frames: 5967872. Throughput: 0: 946.0. Samples: 1490956. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:34:20,452][00176] Avg episode reward: [(0, '22.302')] [2023-02-24 15:34:23,565][10350] Updated weights for policy 0, policy_version 1460 (0.0025) [2023-02-24 15:34:25,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3959.5, 300 sec: 3846.1). Total num frames: 5988352. Throughput: 0: 957.2. Samples: 1496584. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:34:25,453][00176] Avg episode reward: [(0, '21.515')] [2023-02-24 15:34:30,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3891.7, 300 sec: 3860.0). Total num frames: 6008832. Throughput: 0: 986.8. Samples: 1500090. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:34:30,454][00176] Avg episode reward: [(0, '21.126')] [2023-02-24 15:34:30,473][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001467_6008832.pth... [2023-02-24 15:34:30,587][10336] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001241_5083136.pth [2023-02-24 15:34:32,822][10350] Updated weights for policy 0, policy_version 1470 (0.0012) [2023-02-24 15:34:35,447][00176] Fps is (10 sec: 3686.3, 60 sec: 3754.9, 300 sec: 3846.1). Total num frames: 6025216. Throughput: 0: 982.7. Samples: 1506292. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:34:35,450][00176] Avg episode reward: [(0, '20.610')] [2023-02-24 15:34:40,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3822.9, 300 sec: 3832.2). Total num frames: 6041600. Throughput: 0: 934.1. Samples: 1510864. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:34:40,451][00176] Avg episode reward: [(0, '20.546')] [2023-02-24 15:34:44,390][10350] Updated weights for policy 0, policy_version 1480 (0.0014) [2023-02-24 15:34:45,447][00176] Fps is (10 sec: 4096.1, 60 sec: 3959.5, 300 sec: 3846.2). Total num frames: 6066176. Throughput: 0: 952.7. Samples: 1513858. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:34:45,449][00176] Avg episode reward: [(0, '20.452')] [2023-02-24 15:34:50,447][00176] Fps is (10 sec: 4505.7, 60 sec: 3891.2, 300 sec: 3860.0). Total num frames: 6086656. Throughput: 0: 1009.6. Samples: 1520872. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:34:50,449][00176] Avg episode reward: [(0, '21.399')] [2023-02-24 15:34:55,054][10350] Updated weights for policy 0, policy_version 1490 (0.0013) [2023-02-24 15:34:55,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3822.9, 300 sec: 3846.1). Total num frames: 6103040. Throughput: 0: 963.3. Samples: 1526034. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:34:55,450][00176] Avg episode reward: [(0, '22.360')] [2023-02-24 15:35:00,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3822.9, 300 sec: 3818.3). Total num frames: 6115328. Throughput: 0: 931.0. Samples: 1528160. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:35:00,455][00176] Avg episode reward: [(0, '21.215')] [2023-02-24 15:35:05,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3891.2, 300 sec: 3846.1). Total num frames: 6139904. Throughput: 0: 953.0. Samples: 1533842. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:35:05,449][00176] Avg episode reward: [(0, '21.333')] [2023-02-24 15:35:05,993][10350] Updated weights for policy 0, policy_version 1500 (0.0016) [2023-02-24 15:35:10,451][00176] Fps is (10 sec: 4503.8, 60 sec: 3822.7, 300 sec: 3859.9). Total num frames: 6160384. Throughput: 0: 978.1. Samples: 1540604. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:35:10,453][00176] Avg episode reward: [(0, '23.437')] [2023-02-24 15:35:15,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3754.7, 300 sec: 3832.2). Total num frames: 6176768. Throughput: 0: 950.9. Samples: 1542880. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:35:15,451][00176] Avg episode reward: [(0, '24.864')] [2023-02-24 15:35:18,044][10350] Updated weights for policy 0, policy_version 1510 (0.0024) [2023-02-24 15:35:20,447][00176] Fps is (10 sec: 3278.1, 60 sec: 3754.7, 300 sec: 3818.3). Total num frames: 6193152. Throughput: 0: 905.2. Samples: 1547028. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:35:20,449][00176] Avg episode reward: [(0, '24.934')] [2023-02-24 15:35:25,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3754.7, 300 sec: 3832.2). Total num frames: 6213632. Throughput: 0: 948.8. Samples: 1553562. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:35:25,454][00176] Avg episode reward: [(0, '25.808')] [2023-02-24 15:35:27,610][10350] Updated weights for policy 0, policy_version 1520 (0.0014) [2023-02-24 15:35:30,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3754.7, 300 sec: 3846.1). Total num frames: 6234112. Throughput: 0: 958.9. Samples: 1557010. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:35:30,456][00176] Avg episode reward: [(0, '24.965')] [2023-02-24 15:35:35,451][00176] Fps is (10 sec: 3684.9, 60 sec: 3754.4, 300 sec: 3818.3). Total num frames: 6250496. Throughput: 0: 913.7. Samples: 1561994. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:35:35,457][00176] Avg episode reward: [(0, '24.620')] [2023-02-24 15:35:40,052][10350] Updated weights for policy 0, policy_version 1530 (0.0015) [2023-02-24 15:35:40,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3754.7, 300 sec: 3804.4). Total num frames: 6266880. Throughput: 0: 905.5. Samples: 1566780. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:35:40,456][00176] Avg episode reward: [(0, '23.192')] [2023-02-24 15:35:45,447][00176] Fps is (10 sec: 3687.9, 60 sec: 3686.4, 300 sec: 3818.3). Total num frames: 6287360. Throughput: 0: 932.9. Samples: 1570142. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:35:45,448][00176] Avg episode reward: [(0, '22.241')] [2023-02-24 15:35:49,421][10350] Updated weights for policy 0, policy_version 1540 (0.0035) [2023-02-24 15:35:50,454][00176] Fps is (10 sec: 4093.2, 60 sec: 3686.0, 300 sec: 3832.1). Total num frames: 6307840. Throughput: 0: 952.8. Samples: 1576724. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:35:50,456][00176] Avg episode reward: [(0, '22.874')] [2023-02-24 15:35:55,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3686.4, 300 sec: 3804.4). Total num frames: 6324224. Throughput: 0: 902.3. Samples: 1581202. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:35:55,449][00176] Avg episode reward: [(0, '23.110')] [2023-02-24 15:36:00,447][00176] Fps is (10 sec: 3688.9, 60 sec: 3822.9, 300 sec: 3804.4). Total num frames: 6344704. Throughput: 0: 903.8. Samples: 1583552. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:36:00,454][00176] Avg episode reward: [(0, '24.584')] [2023-02-24 15:36:01,196][10350] Updated weights for policy 0, policy_version 1550 (0.0025) [2023-02-24 15:36:05,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3754.7, 300 sec: 3818.3). Total num frames: 6365184. Throughput: 0: 964.9. Samples: 1590450. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:36:05,457][00176] Avg episode reward: [(0, '24.218')] [2023-02-24 15:36:10,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3686.6, 300 sec: 3804.4). Total num frames: 6381568. Throughput: 0: 946.4. Samples: 1596148. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:36:10,454][00176] Avg episode reward: [(0, '24.737')] [2023-02-24 15:36:12,205][10350] Updated weights for policy 0, policy_version 1560 (0.0020) [2023-02-24 15:36:15,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3686.4, 300 sec: 3776.7). Total num frames: 6397952. Throughput: 0: 917.1. Samples: 1598278. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:36:15,451][00176] Avg episode reward: [(0, '25.958')] [2023-02-24 15:36:20,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3754.7, 300 sec: 3790.5). Total num frames: 6418432. Throughput: 0: 920.0. Samples: 1603392. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:36:20,458][00176] Avg episode reward: [(0, '24.901')] [2023-02-24 15:36:22,824][10350] Updated weights for policy 0, policy_version 1570 (0.0021) [2023-02-24 15:36:25,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3754.7, 300 sec: 3804.4). Total num frames: 6438912. Throughput: 0: 962.0. Samples: 1610072. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:36:25,454][00176] Avg episode reward: [(0, '25.388')] [2023-02-24 15:36:30,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3686.4, 300 sec: 3790.5). Total num frames: 6455296. Throughput: 0: 948.9. Samples: 1612844. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:36:30,452][00176] Avg episode reward: [(0, '24.371')] [2023-02-24 15:36:30,466][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001576_6455296.pth... [2023-02-24 15:36:30,600][10336] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001352_5537792.pth [2023-02-24 15:36:35,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3618.4, 300 sec: 3748.9). Total num frames: 6467584. Throughput: 0: 897.3. Samples: 1617098. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:36:35,448][00176] Avg episode reward: [(0, '24.945')] [2023-02-24 15:36:35,515][10350] Updated weights for policy 0, policy_version 1580 (0.0015) [2023-02-24 15:36:40,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3754.7, 300 sec: 3776.7). Total num frames: 6492160. Throughput: 0: 929.2. Samples: 1623016. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:36:40,454][00176] Avg episode reward: [(0, '24.455')] [2023-02-24 15:36:44,627][10350] Updated weights for policy 0, policy_version 1590 (0.0012) [2023-02-24 15:36:45,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3754.7, 300 sec: 3804.4). Total num frames: 6512640. Throughput: 0: 950.3. Samples: 1626314. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:36:45,449][00176] Avg episode reward: [(0, '23.732')] [2023-02-24 15:36:50,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3686.8, 300 sec: 3790.5). Total num frames: 6529024. Throughput: 0: 917.2. Samples: 1631726. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:36:50,452][00176] Avg episode reward: [(0, '23.206')] [2023-02-24 15:36:55,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3686.4, 300 sec: 3762.8). Total num frames: 6545408. Throughput: 0: 892.3. Samples: 1636302. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:36:55,449][00176] Avg episode reward: [(0, '21.278')] [2023-02-24 15:36:56,703][10350] Updated weights for policy 0, policy_version 1600 (0.0020) [2023-02-24 15:37:00,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3754.7, 300 sec: 3804.4). Total num frames: 6569984. Throughput: 0: 924.1. Samples: 1639864. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:37:00,455][00176] Avg episode reward: [(0, '20.819')] [2023-02-24 15:37:05,451][00176] Fps is (10 sec: 4503.7, 60 sec: 3754.4, 300 sec: 3818.3). Total num frames: 6590464. Throughput: 0: 969.6. Samples: 1647026. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:37:05,454][00176] Avg episode reward: [(0, '21.277')] [2023-02-24 15:37:05,904][10350] Updated weights for policy 0, policy_version 1610 (0.0012) [2023-02-24 15:37:10,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3754.7, 300 sec: 3790.5). Total num frames: 6606848. Throughput: 0: 930.4. Samples: 1651940. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:37:10,449][00176] Avg episode reward: [(0, '21.839')] [2023-02-24 15:37:15,447][00176] Fps is (10 sec: 3278.1, 60 sec: 3754.7, 300 sec: 3790.5). Total num frames: 6623232. Throughput: 0: 919.3. Samples: 1654214. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:37:15,454][00176] Avg episode reward: [(0, '21.127')] [2023-02-24 15:37:17,375][10350] Updated weights for policy 0, policy_version 1620 (0.0029) [2023-02-24 15:37:20,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3822.9, 300 sec: 3818.3). Total num frames: 6647808. Throughput: 0: 971.4. Samples: 1660810. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:37:20,449][00176] Avg episode reward: [(0, '23.382')] [2023-02-24 15:37:25,449][00176] Fps is (10 sec: 4504.9, 60 sec: 3822.8, 300 sec: 3832.2). Total num frames: 6668288. Throughput: 0: 982.9. Samples: 1667250. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:37:25,451][00176] Avg episode reward: [(0, '23.770')] [2023-02-24 15:37:27,887][10350] Updated weights for policy 0, policy_version 1630 (0.0029) [2023-02-24 15:37:30,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3754.7, 300 sec: 3790.5). Total num frames: 6680576. Throughput: 0: 959.4. Samples: 1669486. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:37:30,453][00176] Avg episode reward: [(0, '23.636')] [2023-02-24 15:37:35,447][00176] Fps is (10 sec: 3277.4, 60 sec: 3891.2, 300 sec: 3804.4). Total num frames: 6701056. Throughput: 0: 949.8. Samples: 1674468. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:37:35,449][00176] Avg episode reward: [(0, '23.823')] [2023-02-24 15:37:38,083][10350] Updated weights for policy 0, policy_version 1640 (0.0015) [2023-02-24 15:37:40,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3891.2, 300 sec: 3832.2). Total num frames: 6725632. Throughput: 0: 1004.3. Samples: 1681494. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:37:40,448][00176] Avg episode reward: [(0, '24.427')] [2023-02-24 15:37:45,448][00176] Fps is (10 sec: 4095.3, 60 sec: 3822.8, 300 sec: 3818.3). Total num frames: 6742016. Throughput: 0: 1002.5. Samples: 1684976. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:37:45,451][00176] Avg episode reward: [(0, '23.706')] [2023-02-24 15:37:49,827][10350] Updated weights for policy 0, policy_version 1650 (0.0025) [2023-02-24 15:37:50,447][00176] Fps is (10 sec: 3276.6, 60 sec: 3822.9, 300 sec: 3790.5). Total num frames: 6758400. Throughput: 0: 937.1. Samples: 1689194. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:37:50,456][00176] Avg episode reward: [(0, '23.527')] [2023-02-24 15:37:55,447][00176] Fps is (10 sec: 3687.0, 60 sec: 3891.2, 300 sec: 3804.4). Total num frames: 6778880. Throughput: 0: 958.8. Samples: 1695088. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:37:55,454][00176] Avg episode reward: [(0, '23.307')] [2023-02-24 15:37:59,188][10350] Updated weights for policy 0, policy_version 1660 (0.0019) [2023-02-24 15:38:00,447][00176] Fps is (10 sec: 4505.9, 60 sec: 3891.2, 300 sec: 3832.2). Total num frames: 6803456. Throughput: 0: 986.1. Samples: 1698586. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:38:00,454][00176] Avg episode reward: [(0, '25.093')] [2023-02-24 15:38:05,447][00176] Fps is (10 sec: 4095.8, 60 sec: 3823.2, 300 sec: 3804.4). Total num frames: 6819840. Throughput: 0: 972.3. Samples: 1704566. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:38:05,454][00176] Avg episode reward: [(0, '24.437')] [2023-02-24 15:38:10,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3822.9, 300 sec: 3790.5). Total num frames: 6836224. Throughput: 0: 927.1. Samples: 1708968. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:38:10,457][00176] Avg episode reward: [(0, '23.325')] [2023-02-24 15:38:11,061][10350] Updated weights for policy 0, policy_version 1670 (0.0021) [2023-02-24 15:38:15,447][00176] Fps is (10 sec: 4096.2, 60 sec: 3959.5, 300 sec: 3818.3). Total num frames: 6860800. Throughput: 0: 951.9. Samples: 1712322. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:38:15,453][00176] Avg episode reward: [(0, '25.512')] [2023-02-24 15:38:19,733][10350] Updated weights for policy 0, policy_version 1680 (0.0024) [2023-02-24 15:38:20,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3891.2, 300 sec: 3832.2). Total num frames: 6881280. Throughput: 0: 999.8. Samples: 1719458. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:38:20,449][00176] Avg episode reward: [(0, '26.373')] [2023-02-24 15:38:25,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3823.1, 300 sec: 3804.5). Total num frames: 6897664. Throughput: 0: 959.6. Samples: 1724674. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:38:25,459][00176] Avg episode reward: [(0, '27.117')] [2023-02-24 15:38:25,465][10336] Saving new best policy, reward=27.117! [2023-02-24 15:38:30,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3891.2, 300 sec: 3776.7). Total num frames: 6914048. Throughput: 0: 931.0. Samples: 1726868. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:38:30,458][00176] Avg episode reward: [(0, '26.777')] [2023-02-24 15:38:30,470][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001688_6914048.pth... [2023-02-24 15:38:30,613][10336] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001467_6008832.pth [2023-02-24 15:38:31,522][10350] Updated weights for policy 0, policy_version 1690 (0.0026) [2023-02-24 15:38:35,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3959.5, 300 sec: 3818.3). Total num frames: 6938624. Throughput: 0: 982.7. Samples: 1733416. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:38:35,452][00176] Avg episode reward: [(0, '26.390')] [2023-02-24 15:38:40,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3891.2, 300 sec: 3832.2). Total num frames: 6959104. Throughput: 0: 1002.4. Samples: 1740194. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:38:40,451][00176] Avg episode reward: [(0, '25.245')] [2023-02-24 15:38:41,193][10350] Updated weights for policy 0, policy_version 1700 (0.0022) [2023-02-24 15:38:45,448][00176] Fps is (10 sec: 3686.0, 60 sec: 3891.2, 300 sec: 3804.4). Total num frames: 6975488. Throughput: 0: 972.7. Samples: 1742360. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:38:45,455][00176] Avg episode reward: [(0, '22.517')] [2023-02-24 15:38:50,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3891.2, 300 sec: 3790.5). Total num frames: 6991872. Throughput: 0: 947.3. Samples: 1747194. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:38:50,450][00176] Avg episode reward: [(0, '22.308')] [2023-02-24 15:38:52,467][10350] Updated weights for policy 0, policy_version 1710 (0.0028) [2023-02-24 15:38:55,447][00176] Fps is (10 sec: 4096.4, 60 sec: 3959.5, 300 sec: 3832.2). Total num frames: 7016448. Throughput: 0: 1001.8. Samples: 1754048. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:38:55,449][00176] Avg episode reward: [(0, '22.191')] [2023-02-24 15:39:00,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3822.9, 300 sec: 3818.3). Total num frames: 7032832. Throughput: 0: 1006.6. Samples: 1757620. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:39:00,453][00176] Avg episode reward: [(0, '21.057')] [2023-02-24 15:39:03,397][10350] Updated weights for policy 0, policy_version 1720 (0.0024) [2023-02-24 15:39:05,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3823.0, 300 sec: 3790.5). Total num frames: 7049216. Throughput: 0: 945.8. Samples: 1762020. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:39:05,450][00176] Avg episode reward: [(0, '21.072')] [2023-02-24 15:39:10,450][00176] Fps is (10 sec: 3685.3, 60 sec: 3891.0, 300 sec: 3790.5). Total num frames: 7069696. Throughput: 0: 958.2. Samples: 1767794. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:39:10,452][00176] Avg episode reward: [(0, '22.798')] [2023-02-24 15:39:13,228][10350] Updated weights for policy 0, policy_version 1730 (0.0021) [2023-02-24 15:39:15,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3891.2, 300 sec: 3818.3). Total num frames: 7094272. Throughput: 0: 989.0. Samples: 1771372. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:39:15,449][00176] Avg episode reward: [(0, '22.124')] [2023-02-24 15:39:20,447][00176] Fps is (10 sec: 4097.2, 60 sec: 3822.9, 300 sec: 3804.4). Total num frames: 7110656. Throughput: 0: 981.4. Samples: 1777578. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:39:20,451][00176] Avg episode reward: [(0, '21.341')] [2023-02-24 15:39:24,760][10350] Updated weights for policy 0, policy_version 1740 (0.0015) [2023-02-24 15:39:25,447][00176] Fps is (10 sec: 3276.7, 60 sec: 3822.9, 300 sec: 3790.5). Total num frames: 7127040. Throughput: 0: 929.8. Samples: 1782036. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:39:25,454][00176] Avg episode reward: [(0, '22.354')] [2023-02-24 15:39:30,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3959.5, 300 sec: 3818.3). Total num frames: 7151616. Throughput: 0: 949.7. Samples: 1785096. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:39:30,449][00176] Avg episode reward: [(0, '23.713')] [2023-02-24 15:39:33,900][10350] Updated weights for policy 0, policy_version 1750 (0.0018) [2023-02-24 15:39:35,447][00176] Fps is (10 sec: 4505.8, 60 sec: 3891.2, 300 sec: 3832.2). Total num frames: 7172096. Throughput: 0: 999.7. Samples: 1792182. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:39:35,455][00176] Avg episode reward: [(0, '24.257')] [2023-02-24 15:39:40,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3822.9, 300 sec: 3804.4). Total num frames: 7188480. Throughput: 0: 961.8. Samples: 1797330. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:39:40,453][00176] Avg episode reward: [(0, '24.761')] [2023-02-24 15:39:45,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3823.0, 300 sec: 3790.5). Total num frames: 7204864. Throughput: 0: 931.4. Samples: 1799534. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:39:45,449][00176] Avg episode reward: [(0, '24.859')] [2023-02-24 15:39:45,838][10350] Updated weights for policy 0, policy_version 1760 (0.0023) [2023-02-24 15:39:50,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3959.5, 300 sec: 3818.3). Total num frames: 7229440. Throughput: 0: 975.7. Samples: 1805928. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:39:50,449][00176] Avg episode reward: [(0, '26.462')] [2023-02-24 15:39:54,658][10350] Updated weights for policy 0, policy_version 1770 (0.0017) [2023-02-24 15:39:55,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3891.2, 300 sec: 3846.1). Total num frames: 7249920. Throughput: 0: 1002.8. Samples: 1812918. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:39:55,450][00176] Avg episode reward: [(0, '25.067')] [2023-02-24 15:40:00,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3891.2, 300 sec: 3818.3). Total num frames: 7266304. Throughput: 0: 972.9. Samples: 1815154. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:40:00,448][00176] Avg episode reward: [(0, '25.203')] [2023-02-24 15:40:05,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3959.5, 300 sec: 3818.4). Total num frames: 7286784. Throughput: 0: 943.9. Samples: 1820054. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:40:05,457][00176] Avg episode reward: [(0, '23.563')] [2023-02-24 15:40:06,222][10350] Updated weights for policy 0, policy_version 1780 (0.0028) [2023-02-24 15:40:10,447][00176] Fps is (10 sec: 4505.6, 60 sec: 4027.9, 300 sec: 3846.1). Total num frames: 7311360. Throughput: 0: 1006.6. Samples: 1827334. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:40:10,449][00176] Avg episode reward: [(0, '23.854')] [2023-02-24 15:40:15,449][00176] Fps is (10 sec: 4095.2, 60 sec: 3891.1, 300 sec: 3846.0). Total num frames: 7327744. Throughput: 0: 1018.0. Samples: 1830908. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:40:15,453][00176] Avg episode reward: [(0, '21.939')] [2023-02-24 15:40:15,754][10350] Updated weights for policy 0, policy_version 1790 (0.0011) [2023-02-24 15:40:20,447][00176] Fps is (10 sec: 3276.5, 60 sec: 3891.1, 300 sec: 3832.2). Total num frames: 7344128. Throughput: 0: 965.8. Samples: 1835642. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:40:20,450][00176] Avg episode reward: [(0, '23.375')] [2023-02-24 15:40:25,447][00176] Fps is (10 sec: 3687.1, 60 sec: 3959.5, 300 sec: 3832.2). Total num frames: 7364608. Throughput: 0: 976.7. Samples: 1841280. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:40:25,455][00176] Avg episode reward: [(0, '23.396')] [2023-02-24 15:40:26,605][10350] Updated weights for policy 0, policy_version 1800 (0.0013) [2023-02-24 15:40:30,447][00176] Fps is (10 sec: 4505.9, 60 sec: 3959.5, 300 sec: 3860.0). Total num frames: 7389184. Throughput: 0: 1006.9. Samples: 1844844. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:40:30,454][00176] Avg episode reward: [(0, '23.713')] [2023-02-24 15:40:30,474][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001804_7389184.pth... [2023-02-24 15:40:30,600][10336] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001576_6455296.pth [2023-02-24 15:40:35,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3891.2, 300 sec: 3860.0). Total num frames: 7405568. Throughput: 0: 1002.8. Samples: 1851052. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:40:35,450][00176] Avg episode reward: [(0, '22.452')] [2023-02-24 15:40:38,048][10350] Updated weights for policy 0, policy_version 1810 (0.0017) [2023-02-24 15:40:40,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3822.9, 300 sec: 3832.2). Total num frames: 7417856. Throughput: 0: 935.5. Samples: 1855014. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:40:40,456][00176] Avg episode reward: [(0, '23.899')] [2023-02-24 15:40:45,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3959.5, 300 sec: 3846.2). Total num frames: 7442432. Throughput: 0: 953.0. Samples: 1858038. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:40:45,454][00176] Avg episode reward: [(0, '21.782')] [2023-02-24 15:40:48,033][10350] Updated weights for policy 0, policy_version 1820 (0.0023) [2023-02-24 15:40:50,447][00176] Fps is (10 sec: 4505.7, 60 sec: 3891.2, 300 sec: 3860.0). Total num frames: 7462912. Throughput: 0: 994.6. Samples: 1864810. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:40:50,454][00176] Avg episode reward: [(0, '21.765')] [2023-02-24 15:40:55,451][00176] Fps is (10 sec: 3275.5, 60 sec: 3754.4, 300 sec: 3832.1). Total num frames: 7475200. Throughput: 0: 940.5. Samples: 1869662. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:40:55,456][00176] Avg episode reward: [(0, '21.905')] [2023-02-24 15:41:00,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3754.7, 300 sec: 3818.3). Total num frames: 7491584. Throughput: 0: 905.1. Samples: 1871634. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:41:00,456][00176] Avg episode reward: [(0, '22.514')] [2023-02-24 15:41:00,875][10350] Updated weights for policy 0, policy_version 1830 (0.0026) [2023-02-24 15:41:05,447][00176] Fps is (10 sec: 3687.8, 60 sec: 3754.7, 300 sec: 3832.2). Total num frames: 7512064. Throughput: 0: 925.4. Samples: 1877286. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:41:05,449][00176] Avg episode reward: [(0, '24.045')] [2023-02-24 15:41:10,447][00176] Fps is (10 sec: 4095.9, 60 sec: 3686.4, 300 sec: 3846.1). Total num frames: 7532544. Throughput: 0: 941.1. Samples: 1883630. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:41:10,454][00176] Avg episode reward: [(0, '25.345')] [2023-02-24 15:41:11,018][10350] Updated weights for policy 0, policy_version 1840 (0.0015) [2023-02-24 15:41:15,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3618.2, 300 sec: 3818.3). Total num frames: 7544832. Throughput: 0: 905.0. Samples: 1885570. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:41:15,453][00176] Avg episode reward: [(0, '23.906')] [2023-02-24 15:41:20,447][00176] Fps is (10 sec: 2867.3, 60 sec: 3618.2, 300 sec: 3804.4). Total num frames: 7561216. Throughput: 0: 858.0. Samples: 1889660. Policy #0 lag: (min: 0.0, avg: 0.7, max: 1.0) [2023-02-24 15:41:20,450][00176] Avg episode reward: [(0, '24.477')] [2023-02-24 15:41:23,482][10350] Updated weights for policy 0, policy_version 1850 (0.0037) [2023-02-24 15:41:25,449][00176] Fps is (10 sec: 4095.2, 60 sec: 3686.3, 300 sec: 3832.2). Total num frames: 7585792. Throughput: 0: 912.2. Samples: 1896064. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:41:25,457][00176] Avg episode reward: [(0, '24.944')] [2023-02-24 15:41:30,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3549.9, 300 sec: 3846.1). Total num frames: 7602176. Throughput: 0: 918.5. Samples: 1899372. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:41:30,452][00176] Avg episode reward: [(0, '24.647')] [2023-02-24 15:41:35,109][10350] Updated weights for policy 0, policy_version 1860 (0.0025) [2023-02-24 15:41:35,447][00176] Fps is (10 sec: 3277.4, 60 sec: 3549.9, 300 sec: 3818.3). Total num frames: 7618560. Throughput: 0: 871.7. Samples: 1904036. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:41:35,454][00176] Avg episode reward: [(0, '24.165')] [2023-02-24 15:41:40,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3618.1, 300 sec: 3804.4). Total num frames: 7634944. Throughput: 0: 874.3. Samples: 1909000. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:41:40,456][00176] Avg episode reward: [(0, '24.212')] [2023-02-24 15:41:45,195][10350] Updated weights for policy 0, policy_version 1870 (0.0018) [2023-02-24 15:41:45,447][00176] Fps is (10 sec: 4096.1, 60 sec: 3618.1, 300 sec: 3832.2). Total num frames: 7659520. Throughput: 0: 904.4. Samples: 1912330. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:41:45,451][00176] Avg episode reward: [(0, '24.596')] [2023-02-24 15:41:50,447][00176] Fps is (10 sec: 4095.7, 60 sec: 3549.8, 300 sec: 3832.2). Total num frames: 7675904. Throughput: 0: 926.1. Samples: 1918960. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:41:50,451][00176] Avg episode reward: [(0, '24.582')] [2023-02-24 15:41:55,447][00176] Fps is (10 sec: 3276.7, 60 sec: 3618.4, 300 sec: 3804.4). Total num frames: 7692288. Throughput: 0: 884.4. Samples: 1923428. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:41:55,453][00176] Avg episode reward: [(0, '24.260')] [2023-02-24 15:41:57,252][10350] Updated weights for policy 0, policy_version 1880 (0.0013) [2023-02-24 15:42:00,447][00176] Fps is (10 sec: 3686.7, 60 sec: 3686.4, 300 sec: 3804.5). Total num frames: 7712768. Throughput: 0: 895.9. Samples: 1925884. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:42:00,450][00176] Avg episode reward: [(0, '25.651')] [2023-02-24 15:42:05,447][00176] Fps is (10 sec: 4505.7, 60 sec: 3754.7, 300 sec: 3832.2). Total num frames: 7737344. Throughput: 0: 960.7. Samples: 1932890. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:42:05,449][00176] Avg episode reward: [(0, '25.249')] [2023-02-24 15:42:06,189][10350] Updated weights for policy 0, policy_version 1890 (0.0016) [2023-02-24 15:42:10,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3832.2). Total num frames: 7753728. Throughput: 0: 950.8. Samples: 1938846. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:42:10,453][00176] Avg episode reward: [(0, '24.928')] [2023-02-24 15:42:15,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3754.7, 300 sec: 3804.4). Total num frames: 7770112. Throughput: 0: 926.6. Samples: 1941068. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:42:15,449][00176] Avg episode reward: [(0, '26.066')] [2023-02-24 15:42:17,753][10350] Updated weights for policy 0, policy_version 1900 (0.0028) [2023-02-24 15:42:20,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3891.2, 300 sec: 3818.3). Total num frames: 7794688. Throughput: 0: 954.7. Samples: 1946998. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:42:20,450][00176] Avg episode reward: [(0, '24.642')] [2023-02-24 15:42:25,447][00176] Fps is (10 sec: 4505.5, 60 sec: 3823.0, 300 sec: 3846.1). Total num frames: 7815168. Throughput: 0: 1001.0. Samples: 1954044. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:42:25,450][00176] Avg episode reward: [(0, '24.821')] [2023-02-24 15:42:27,201][10350] Updated weights for policy 0, policy_version 1910 (0.0012) [2023-02-24 15:42:30,448][00176] Fps is (10 sec: 3685.8, 60 sec: 3822.8, 300 sec: 3832.2). Total num frames: 7831552. Throughput: 0: 982.9. Samples: 1956562. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:42:30,451][00176] Avg episode reward: [(0, '24.870')] [2023-02-24 15:42:30,466][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001912_7831552.pth... [2023-02-24 15:42:30,604][10336] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001688_6914048.pth [2023-02-24 15:42:35,447][00176] Fps is (10 sec: 3276.9, 60 sec: 3822.9, 300 sec: 3804.4). Total num frames: 7847936. Throughput: 0: 933.9. Samples: 1960984. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:42:35,449][00176] Avg episode reward: [(0, '25.118')] [2023-02-24 15:42:38,676][10350] Updated weights for policy 0, policy_version 1920 (0.0017) [2023-02-24 15:42:40,447][00176] Fps is (10 sec: 4096.7, 60 sec: 3959.5, 300 sec: 3832.2). Total num frames: 7872512. Throughput: 0: 983.6. Samples: 1967688. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:42:40,449][00176] Avg episode reward: [(0, '25.008')] [2023-02-24 15:42:45,447][00176] Fps is (10 sec: 4505.4, 60 sec: 3891.2, 300 sec: 3846.1). Total num frames: 7892992. Throughput: 0: 1008.7. Samples: 1971276. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:42:45,450][00176] Avg episode reward: [(0, '24.434')] [2023-02-24 15:42:48,752][10350] Updated weights for policy 0, policy_version 1930 (0.0016) [2023-02-24 15:42:50,450][00176] Fps is (10 sec: 3685.3, 60 sec: 3891.1, 300 sec: 3832.2). Total num frames: 7909376. Throughput: 0: 974.2. Samples: 1976730. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:42:50,457][00176] Avg episode reward: [(0, '25.113')] [2023-02-24 15:42:55,447][00176] Fps is (10 sec: 3277.0, 60 sec: 3891.2, 300 sec: 3804.4). Total num frames: 7925760. Throughput: 0: 946.1. Samples: 1981420. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:42:55,452][00176] Avg episode reward: [(0, '25.061')] [2023-02-24 15:42:59,294][10350] Updated weights for policy 0, policy_version 1940 (0.0014) [2023-02-24 15:43:00,447][00176] Fps is (10 sec: 4097.2, 60 sec: 3959.5, 300 sec: 3832.2). Total num frames: 7950336. Throughput: 0: 976.5. Samples: 1985010. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:43:00,453][00176] Avg episode reward: [(0, '23.560')] [2023-02-24 15:43:05,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3891.2, 300 sec: 3846.1). Total num frames: 7970816. Throughput: 0: 1003.2. Samples: 1992142. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:43:05,449][00176] Avg episode reward: [(0, '23.483')] [2023-02-24 15:43:10,449][00176] Fps is (10 sec: 3276.2, 60 sec: 3822.8, 300 sec: 3804.4). Total num frames: 7983104. Throughput: 0: 947.2. Samples: 1996668. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:43:10,454][00176] Avg episode reward: [(0, '24.075')] [2023-02-24 15:43:10,476][10350] Updated weights for policy 0, policy_version 1950 (0.0037) [2023-02-24 15:43:15,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3891.2, 300 sec: 3804.4). Total num frames: 8003584. Throughput: 0: 942.6. Samples: 1998978. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:43:15,450][00176] Avg episode reward: [(0, '24.368')] [2023-02-24 15:43:19,814][10350] Updated weights for policy 0, policy_version 1960 (0.0027) [2023-02-24 15:43:20,447][00176] Fps is (10 sec: 4506.5, 60 sec: 3891.2, 300 sec: 3832.2). Total num frames: 8028160. Throughput: 0: 999.8. Samples: 2005974. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:43:20,457][00176] Avg episode reward: [(0, '24.972')] [2023-02-24 15:43:25,447][00176] Fps is (10 sec: 4505.3, 60 sec: 3891.2, 300 sec: 3846.1). Total num frames: 8048640. Throughput: 0: 992.2. Samples: 2012338. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:43:25,456][00176] Avg episode reward: [(0, '26.806')] [2023-02-24 15:43:30,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3891.3, 300 sec: 3818.3). Total num frames: 8065024. Throughput: 0: 963.3. Samples: 2014626. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:43:30,454][00176] Avg episode reward: [(0, '25.967')] [2023-02-24 15:43:31,760][10350] Updated weights for policy 0, policy_version 1970 (0.0031) [2023-02-24 15:43:35,447][00176] Fps is (10 sec: 3686.6, 60 sec: 3959.5, 300 sec: 3818.3). Total num frames: 8085504. Throughput: 0: 961.9. Samples: 2020012. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:43:35,449][00176] Avg episode reward: [(0, '26.212')] [2023-02-24 15:43:40,405][10350] Updated weights for policy 0, policy_version 1980 (0.0018) [2023-02-24 15:43:40,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3959.5, 300 sec: 3846.1). Total num frames: 8110080. Throughput: 0: 1013.6. Samples: 2027034. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:43:40,450][00176] Avg episode reward: [(0, '26.478')] [2023-02-24 15:43:45,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3823.0, 300 sec: 3832.2). Total num frames: 8122368. Throughput: 0: 999.5. Samples: 2029988. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:43:45,454][00176] Avg episode reward: [(0, '26.925')] [2023-02-24 15:43:50,448][00176] Fps is (10 sec: 2866.9, 60 sec: 3823.1, 300 sec: 3804.4). Total num frames: 8138752. Throughput: 0: 936.1. Samples: 2034266. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:43:50,458][00176] Avg episode reward: [(0, '26.656')] [2023-02-24 15:43:52,712][10350] Updated weights for policy 0, policy_version 1990 (0.0016) [2023-02-24 15:43:55,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3959.5, 300 sec: 3832.2). Total num frames: 8163328. Throughput: 0: 972.9. Samples: 2040446. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:43:55,449][00176] Avg episode reward: [(0, '24.165')] [2023-02-24 15:44:00,447][00176] Fps is (10 sec: 4506.1, 60 sec: 3891.2, 300 sec: 3846.1). Total num frames: 8183808. Throughput: 0: 998.6. Samples: 2043914. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:44:00,449][00176] Avg episode reward: [(0, '25.339')] [2023-02-24 15:44:01,875][10350] Updated weights for policy 0, policy_version 2000 (0.0011) [2023-02-24 15:44:05,451][00176] Fps is (10 sec: 3685.0, 60 sec: 3822.7, 300 sec: 3832.2). Total num frames: 8200192. Throughput: 0: 975.0. Samples: 2049854. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:44:05,453][00176] Avg episode reward: [(0, '24.866')] [2023-02-24 15:44:10,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3891.3, 300 sec: 3804.4). Total num frames: 8216576. Throughput: 0: 934.1. Samples: 2054374. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:44:10,456][00176] Avg episode reward: [(0, '23.993')] [2023-02-24 15:44:13,358][10350] Updated weights for policy 0, policy_version 2010 (0.0017) [2023-02-24 15:44:15,447][00176] Fps is (10 sec: 4097.6, 60 sec: 3959.5, 300 sec: 3832.2). Total num frames: 8241152. Throughput: 0: 958.7. Samples: 2057766. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:44:15,455][00176] Avg episode reward: [(0, '22.257')] [2023-02-24 15:44:20,447][00176] Fps is (10 sec: 4915.2, 60 sec: 3959.5, 300 sec: 3860.0). Total num frames: 8265728. Throughput: 0: 1000.3. Samples: 2065024. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:44:20,451][00176] Avg episode reward: [(0, '23.098')] [2023-02-24 15:44:23,336][10350] Updated weights for policy 0, policy_version 2020 (0.0012) [2023-02-24 15:44:25,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3823.0, 300 sec: 3818.3). Total num frames: 8278016. Throughput: 0: 952.1. Samples: 2069878. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:44:25,449][00176] Avg episode reward: [(0, '24.243')] [2023-02-24 15:44:30,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3822.9, 300 sec: 3804.4). Total num frames: 8294400. Throughput: 0: 935.6. Samples: 2072088. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:44:30,449][00176] Avg episode reward: [(0, '22.454')] [2023-02-24 15:44:30,470][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000002025_8294400.pth... [2023-02-24 15:44:30,594][10336] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001804_7389184.pth [2023-02-24 15:44:34,360][10350] Updated weights for policy 0, policy_version 2030 (0.0016) [2023-02-24 15:44:35,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3891.2, 300 sec: 3832.2). Total num frames: 8318976. Throughput: 0: 978.0. Samples: 2078274. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:44:35,449][00176] Avg episode reward: [(0, '23.480')] [2023-02-24 15:44:40,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3754.7, 300 sec: 3832.2). Total num frames: 8335360. Throughput: 0: 980.6. Samples: 2084572. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:44:40,450][00176] Avg episode reward: [(0, '24.612')] [2023-02-24 15:44:45,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3822.9, 300 sec: 3804.4). Total num frames: 8351744. Throughput: 0: 953.7. Samples: 2086830. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:44:45,462][00176] Avg episode reward: [(0, '23.702')] [2023-02-24 15:44:46,011][10350] Updated weights for policy 0, policy_version 2040 (0.0018) [2023-02-24 15:44:50,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3891.3, 300 sec: 3804.4). Total num frames: 8372224. Throughput: 0: 930.3. Samples: 2091712. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:44:50,449][00176] Avg episode reward: [(0, '23.407')] [2023-02-24 15:44:55,225][10350] Updated weights for policy 0, policy_version 2050 (0.0019) [2023-02-24 15:44:55,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3891.2, 300 sec: 3832.2). Total num frames: 8396800. Throughput: 0: 987.3. Samples: 2098804. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:44:55,453][00176] Avg episode reward: [(0, '24.623')] [2023-02-24 15:45:00,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3822.9, 300 sec: 3818.3). Total num frames: 8413184. Throughput: 0: 989.9. Samples: 2102312. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:45:00,455][00176] Avg episode reward: [(0, '23.374')] [2023-02-24 15:45:05,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3823.2, 300 sec: 3790.5). Total num frames: 8429568. Throughput: 0: 930.7. Samples: 2106906. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:45:05,451][00176] Avg episode reward: [(0, '23.206')] [2023-02-24 15:45:07,293][10350] Updated weights for policy 0, policy_version 2060 (0.0018) [2023-02-24 15:45:10,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3891.2, 300 sec: 3804.4). Total num frames: 8450048. Throughput: 0: 952.0. Samples: 2112718. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:45:10,456][00176] Avg episode reward: [(0, '23.047')] [2023-02-24 15:45:15,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3891.2, 300 sec: 3832.2). Total num frames: 8474624. Throughput: 0: 980.4. Samples: 2116208. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:45:15,454][00176] Avg episode reward: [(0, '24.105')] [2023-02-24 15:45:15,860][10350] Updated weights for policy 0, policy_version 2070 (0.0016) [2023-02-24 15:45:20,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3754.7, 300 sec: 3818.3). Total num frames: 8491008. Throughput: 0: 985.0. Samples: 2122600. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:45:20,455][00176] Avg episode reward: [(0, '22.854')] [2023-02-24 15:45:25,447][00176] Fps is (10 sec: 3276.7, 60 sec: 3822.9, 300 sec: 3790.5). Total num frames: 8507392. Throughput: 0: 939.6. Samples: 2126856. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:45:25,457][00176] Avg episode reward: [(0, '22.503')] [2023-02-24 15:45:28,159][10350] Updated weights for policy 0, policy_version 2080 (0.0014) [2023-02-24 15:45:30,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3891.2, 300 sec: 3804.4). Total num frames: 8527872. Throughput: 0: 953.2. Samples: 2129722. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:45:30,449][00176] Avg episode reward: [(0, '23.969')] [2023-02-24 15:45:35,447][00176] Fps is (10 sec: 4505.8, 60 sec: 3891.2, 300 sec: 3846.1). Total num frames: 8552448. Throughput: 0: 997.1. Samples: 2136580. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:45:35,449][00176] Avg episode reward: [(0, '23.997')] [2023-02-24 15:45:37,870][10350] Updated weights for policy 0, policy_version 2090 (0.0022) [2023-02-24 15:45:40,447][00176] Fps is (10 sec: 3686.3, 60 sec: 3822.9, 300 sec: 3804.4). Total num frames: 8564736. Throughput: 0: 955.8. Samples: 2141814. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:45:40,449][00176] Avg episode reward: [(0, '24.302')] [2023-02-24 15:45:45,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3822.9, 300 sec: 3790.5). Total num frames: 8581120. Throughput: 0: 925.8. Samples: 2143972. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:45:45,453][00176] Avg episode reward: [(0, '23.056')] [2023-02-24 15:45:49,392][10350] Updated weights for policy 0, policy_version 2100 (0.0014) [2023-02-24 15:45:50,447][00176] Fps is (10 sec: 4096.1, 60 sec: 3891.2, 300 sec: 3832.2). Total num frames: 8605696. Throughput: 0: 956.8. Samples: 2149964. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:45:50,449][00176] Avg episode reward: [(0, '23.600')] [2023-02-24 15:45:55,449][00176] Fps is (10 sec: 4504.7, 60 sec: 3822.8, 300 sec: 3846.1). Total num frames: 8626176. Throughput: 0: 972.0. Samples: 2156460. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:45:55,452][00176] Avg episode reward: [(0, '24.053')] [2023-02-24 15:46:00,454][00176] Fps is (10 sec: 3274.5, 60 sec: 3754.2, 300 sec: 3818.2). Total num frames: 8638464. Throughput: 0: 939.2. Samples: 2158478. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:46:00,457][00176] Avg episode reward: [(0, '23.421')] [2023-02-24 15:46:01,546][10350] Updated weights for policy 0, policy_version 2110 (0.0015) [2023-02-24 15:46:05,447][00176] Fps is (10 sec: 2867.7, 60 sec: 3754.7, 300 sec: 3804.4). Total num frames: 8654848. Throughput: 0: 891.8. Samples: 2162732. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:46:05,456][00176] Avg episode reward: [(0, '23.415')] [2023-02-24 15:46:10,447][00176] Fps is (10 sec: 4098.9, 60 sec: 3822.9, 300 sec: 3846.1). Total num frames: 8679424. Throughput: 0: 947.6. Samples: 2169498. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:46:10,454][00176] Avg episode reward: [(0, '23.778')] [2023-02-24 15:46:11,275][10350] Updated weights for policy 0, policy_version 2120 (0.0016) [2023-02-24 15:46:15,449][00176] Fps is (10 sec: 4095.1, 60 sec: 3686.3, 300 sec: 3846.0). Total num frames: 8695808. Throughput: 0: 958.4. Samples: 2172854. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:46:15,453][00176] Avg episode reward: [(0, '24.230')] [2023-02-24 15:46:20,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3686.4, 300 sec: 3818.3). Total num frames: 8712192. Throughput: 0: 915.0. Samples: 2177754. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:46:20,455][00176] Avg episode reward: [(0, '22.937')] [2023-02-24 15:46:23,218][10350] Updated weights for policy 0, policy_version 2130 (0.0020) [2023-02-24 15:46:25,447][00176] Fps is (10 sec: 3687.2, 60 sec: 3754.7, 300 sec: 3832.2). Total num frames: 8732672. Throughput: 0: 920.2. Samples: 2183222. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:46:25,449][00176] Avg episode reward: [(0, '23.490')] [2023-02-24 15:46:30,447][00176] Fps is (10 sec: 4505.7, 60 sec: 3822.9, 300 sec: 3860.0). Total num frames: 8757248. Throughput: 0: 951.8. Samples: 2186802. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:46:30,456][00176] Avg episode reward: [(0, '23.095')] [2023-02-24 15:46:30,472][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000002138_8757248.pth... [2023-02-24 15:46:30,595][10336] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000001912_7831552.pth [2023-02-24 15:46:32,054][10350] Updated weights for policy 0, policy_version 2140 (0.0017) [2023-02-24 15:46:35,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3686.4, 300 sec: 3860.0). Total num frames: 8773632. Throughput: 0: 958.8. Samples: 2193108. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:46:35,450][00176] Avg episode reward: [(0, '24.446')] [2023-02-24 15:46:40,447][00176] Fps is (10 sec: 3276.7, 60 sec: 3754.7, 300 sec: 3832.2). Total num frames: 8790016. Throughput: 0: 912.4. Samples: 2197516. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:46:40,456][00176] Avg episode reward: [(0, '23.920')] [2023-02-24 15:46:43,910][10350] Updated weights for policy 0, policy_version 2150 (0.0045) [2023-02-24 15:46:45,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3822.9, 300 sec: 3846.1). Total num frames: 8810496. Throughput: 0: 931.9. Samples: 2200408. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:46:45,450][00176] Avg episode reward: [(0, '25.218')] [2023-02-24 15:46:50,447][00176] Fps is (10 sec: 4505.7, 60 sec: 3822.9, 300 sec: 3873.8). Total num frames: 8835072. Throughput: 0: 991.0. Samples: 2207326. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:46:50,450][00176] Avg episode reward: [(0, '26.535')] [2023-02-24 15:46:54,242][10350] Updated weights for policy 0, policy_version 2160 (0.0013) [2023-02-24 15:46:55,452][00176] Fps is (10 sec: 3684.6, 60 sec: 3686.2, 300 sec: 3846.0). Total num frames: 8847360. Throughput: 0: 960.5. Samples: 2212726. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:46:55,454][00176] Avg episode reward: [(0, '25.956')] [2023-02-24 15:47:00,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3755.1, 300 sec: 3818.3). Total num frames: 8863744. Throughput: 0: 933.1. Samples: 2214842. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:47:00,450][00176] Avg episode reward: [(0, '26.081')] [2023-02-24 15:47:05,341][10350] Updated weights for policy 0, policy_version 2170 (0.0030) [2023-02-24 15:47:05,447][00176] Fps is (10 sec: 4098.0, 60 sec: 3891.2, 300 sec: 3846.1). Total num frames: 8888320. Throughput: 0: 949.3. Samples: 2220472. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:47:05,450][00176] Avg episode reward: [(0, '25.599')] [2023-02-24 15:47:10,451][00176] Fps is (10 sec: 4503.8, 60 sec: 3822.7, 300 sec: 3859.9). Total num frames: 8908800. Throughput: 0: 974.5. Samples: 2227080. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:47:10,454][00176] Avg episode reward: [(0, '26.117')] [2023-02-24 15:47:15,447][00176] Fps is (10 sec: 3276.7, 60 sec: 3754.8, 300 sec: 3818.3). Total num frames: 8921088. Throughput: 0: 948.4. Samples: 2229482. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:47:15,449][00176] Avg episode reward: [(0, '25.090')] [2023-02-24 15:47:17,397][10350] Updated weights for policy 0, policy_version 2180 (0.0013) [2023-02-24 15:47:20,449][00176] Fps is (10 sec: 2867.7, 60 sec: 3754.5, 300 sec: 3804.4). Total num frames: 8937472. Throughput: 0: 904.9. Samples: 2233832. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:47:20,451][00176] Avg episode reward: [(0, '23.891')] [2023-02-24 15:47:25,447][00176] Fps is (10 sec: 4096.1, 60 sec: 3822.9, 300 sec: 3832.2). Total num frames: 8962048. Throughput: 0: 948.8. Samples: 2240210. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:47:25,450][00176] Avg episode reward: [(0, '23.700')] [2023-02-24 15:47:27,309][10350] Updated weights for policy 0, policy_version 2190 (0.0022) [2023-02-24 15:47:30,448][00176] Fps is (10 sec: 4506.2, 60 sec: 3754.6, 300 sec: 3846.1). Total num frames: 8982528. Throughput: 0: 956.5. Samples: 2243452. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:47:30,451][00176] Avg episode reward: [(0, '23.957')] [2023-02-24 15:47:35,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3686.4, 300 sec: 3804.4). Total num frames: 8994816. Throughput: 0: 916.4. Samples: 2248564. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:47:35,457][00176] Avg episode reward: [(0, '23.586')] [2023-02-24 15:47:39,582][10350] Updated weights for policy 0, policy_version 2200 (0.0035) [2023-02-24 15:47:40,447][00176] Fps is (10 sec: 3277.1, 60 sec: 3754.7, 300 sec: 3804.4). Total num frames: 9015296. Throughput: 0: 904.9. Samples: 2253440. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:47:40,449][00176] Avg episode reward: [(0, '21.691')] [2023-02-24 15:47:45,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3822.9, 300 sec: 3832.2). Total num frames: 9039872. Throughput: 0: 936.7. Samples: 2256992. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:47:45,449][00176] Avg episode reward: [(0, '22.918')] [2023-02-24 15:47:47,936][10350] Updated weights for policy 0, policy_version 2210 (0.0021) [2023-02-24 15:47:50,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3754.7, 300 sec: 3846.1). Total num frames: 9060352. Throughput: 0: 975.5. Samples: 2264368. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:47:50,451][00176] Avg episode reward: [(0, '23.076')] [2023-02-24 15:47:55,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3755.0, 300 sec: 3804.4). Total num frames: 9072640. Throughput: 0: 930.1. Samples: 2268932. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:47:55,450][00176] Avg episode reward: [(0, '23.007')] [2023-02-24 15:47:59,621][10350] Updated weights for policy 0, policy_version 2220 (0.0025) [2023-02-24 15:48:00,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3891.2, 300 sec: 3818.3). Total num frames: 9097216. Throughput: 0: 930.7. Samples: 2271364. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:48:00,451][00176] Avg episode reward: [(0, '22.353')] [2023-02-24 15:48:05,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3822.9, 300 sec: 3846.1). Total num frames: 9117696. Throughput: 0: 994.2. Samples: 2278568. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:48:05,449][00176] Avg episode reward: [(0, '22.329')] [2023-02-24 15:48:08,381][10350] Updated weights for policy 0, policy_version 2230 (0.0020) [2023-02-24 15:48:10,447][00176] Fps is (10 sec: 4095.9, 60 sec: 3823.2, 300 sec: 3846.1). Total num frames: 9138176. Throughput: 0: 996.0. Samples: 2285028. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:48:10,453][00176] Avg episode reward: [(0, '21.680')] [2023-02-24 15:48:15,447][00176] Fps is (10 sec: 3686.3, 60 sec: 3891.2, 300 sec: 3818.3). Total num frames: 9154560. Throughput: 0: 972.5. Samples: 2287216. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:48:15,454][00176] Avg episode reward: [(0, '20.437')] [2023-02-24 15:48:19,746][10350] Updated weights for policy 0, policy_version 2240 (0.0032) [2023-02-24 15:48:20,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3959.6, 300 sec: 3818.3). Total num frames: 9175040. Throughput: 0: 980.8. Samples: 2292698. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:48:20,456][00176] Avg episode reward: [(0, '21.258')] [2023-02-24 15:48:25,447][00176] Fps is (10 sec: 4505.7, 60 sec: 3959.5, 300 sec: 3846.1). Total num frames: 9199616. Throughput: 0: 1034.6. Samples: 2299996. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:48:25,449][00176] Avg episode reward: [(0, '20.419')] [2023-02-24 15:48:29,503][10350] Updated weights for policy 0, policy_version 2250 (0.0012) [2023-02-24 15:48:30,449][00176] Fps is (10 sec: 4095.2, 60 sec: 3891.1, 300 sec: 3832.2). Total num frames: 9216000. Throughput: 0: 1023.2. Samples: 2303036. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:48:30,453][00176] Avg episode reward: [(0, '20.873')] [2023-02-24 15:48:30,467][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000002250_9216000.pth... [2023-02-24 15:48:30,632][10336] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000002025_8294400.pth [2023-02-24 15:48:35,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3959.5, 300 sec: 3804.4). Total num frames: 9232384. Throughput: 0: 957.4. Samples: 2307450. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:48:35,453][00176] Avg episode reward: [(0, '21.148')] [2023-02-24 15:48:40,282][10350] Updated weights for policy 0, policy_version 2260 (0.0027) [2023-02-24 15:48:40,447][00176] Fps is (10 sec: 4096.8, 60 sec: 4027.7, 300 sec: 3846.1). Total num frames: 9256960. Throughput: 0: 995.3. Samples: 2313722. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:48:40,455][00176] Avg episode reward: [(0, '21.700')] [2023-02-24 15:48:45,447][00176] Fps is (10 sec: 4505.5, 60 sec: 3959.4, 300 sec: 3860.0). Total num frames: 9277440. Throughput: 0: 1018.7. Samples: 2317206. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:48:45,450][00176] Avg episode reward: [(0, '22.385')] [2023-02-24 15:48:50,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3891.2, 300 sec: 3832.2). Total num frames: 9293824. Throughput: 0: 989.2. Samples: 2323084. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:48:50,449][00176] Avg episode reward: [(0, '23.205')] [2023-02-24 15:48:51,098][10350] Updated weights for policy 0, policy_version 2270 (0.0013) [2023-02-24 15:48:55,447][00176] Fps is (10 sec: 3276.9, 60 sec: 3959.5, 300 sec: 3818.3). Total num frames: 9310208. Throughput: 0: 946.9. Samples: 2327638. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:48:55,449][00176] Avg episode reward: [(0, '22.796')] [2023-02-24 15:49:00,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3959.5, 300 sec: 3846.1). Total num frames: 9334784. Throughput: 0: 977.0. Samples: 2331180. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:49:00,455][00176] Avg episode reward: [(0, '22.602')] [2023-02-24 15:49:00,959][10350] Updated weights for policy 0, policy_version 2280 (0.0020) [2023-02-24 15:49:05,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3959.5, 300 sec: 3860.0). Total num frames: 9355264. Throughput: 0: 1011.2. Samples: 2338204. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:49:05,449][00176] Avg episode reward: [(0, '23.241')] [2023-02-24 15:49:10,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3891.2, 300 sec: 3832.2). Total num frames: 9371648. Throughput: 0: 959.5. Samples: 2343174. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) [2023-02-24 15:49:10,457][00176] Avg episode reward: [(0, '23.061')] [2023-02-24 15:49:12,519][10350] Updated weights for policy 0, policy_version 2290 (0.0018) [2023-02-24 15:49:15,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3959.5, 300 sec: 3818.3). Total num frames: 9392128. Throughput: 0: 943.0. Samples: 2345470. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:49:15,455][00176] Avg episode reward: [(0, '22.023')] [2023-02-24 15:49:20,447][00176] Fps is (10 sec: 4505.6, 60 sec: 4027.7, 300 sec: 3860.0). Total num frames: 9416704. Throughput: 0: 999.2. Samples: 2352416. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) [2023-02-24 15:49:20,454][00176] Avg episode reward: [(0, '22.200')] [2023-02-24 15:49:21,360][10350] Updated weights for policy 0, policy_version 2300 (0.0029) [2023-02-24 15:49:25,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3959.5, 300 sec: 3873.8). Total num frames: 9437184. Throughput: 0: 1009.7. Samples: 2359160. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:49:25,450][00176] Avg episode reward: [(0, '22.111')] [2023-02-24 15:49:30,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3891.3, 300 sec: 3832.2). Total num frames: 9449472. Throughput: 0: 982.2. Samples: 2361404. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:49:30,449][00176] Avg episode reward: [(0, '21.794')] [2023-02-24 15:49:33,040][10350] Updated weights for policy 0, policy_version 2310 (0.0017) [2023-02-24 15:49:35,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3959.5, 300 sec: 3846.1). Total num frames: 9469952. Throughput: 0: 966.3. Samples: 2366568. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:49:35,452][00176] Avg episode reward: [(0, '21.789')] [2023-02-24 15:49:40,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3959.5, 300 sec: 3873.8). Total num frames: 9494528. Throughput: 0: 1027.4. Samples: 2373872. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) [2023-02-24 15:49:40,453][00176] Avg episode reward: [(0, '21.855')] [2023-02-24 15:49:41,704][10350] Updated weights for policy 0, policy_version 2320 (0.0012) [2023-02-24 15:49:45,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3891.2, 300 sec: 3860.0). Total num frames: 9510912. Throughput: 0: 1020.0. Samples: 2377078. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:49:45,449][00176] Avg episode reward: [(0, '22.830')] [2023-02-24 15:49:50,448][00176] Fps is (10 sec: 3276.5, 60 sec: 3891.1, 300 sec: 3832.2). Total num frames: 9527296. Throughput: 0: 957.8. Samples: 2381308. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:49:50,454][00176] Avg episode reward: [(0, '22.800')] [2023-02-24 15:49:54,031][10350] Updated weights for policy 0, policy_version 2330 (0.0014) [2023-02-24 15:49:55,447][00176] Fps is (10 sec: 3686.2, 60 sec: 3959.4, 300 sec: 3846.1). Total num frames: 9547776. Throughput: 0: 969.0. Samples: 2386778. Policy #0 lag: (min: 0.0, avg: 0.3, max: 1.0) [2023-02-24 15:49:55,449][00176] Avg episode reward: [(0, '22.547')] [2023-02-24 15:50:00,447][00176] Fps is (10 sec: 4506.0, 60 sec: 3959.5, 300 sec: 3873.8). Total num frames: 9572352. Throughput: 0: 993.2. Samples: 2390162. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:50:00,449][00176] Avg episode reward: [(0, '23.268')] [2023-02-24 15:50:04,444][10350] Updated weights for policy 0, policy_version 2340 (0.0014) [2023-02-24 15:50:05,448][00176] Fps is (10 sec: 3686.1, 60 sec: 3822.9, 300 sec: 3846.1). Total num frames: 9584640. Throughput: 0: 967.5. Samples: 2395956. Policy #0 lag: (min: 0.0, avg: 0.3, max: 2.0) [2023-02-24 15:50:05,450][00176] Avg episode reward: [(0, '21.232')] [2023-02-24 15:50:10,447][00176] Fps is (10 sec: 2867.2, 60 sec: 3822.9, 300 sec: 3818.3). Total num frames: 9601024. Throughput: 0: 912.9. Samples: 2400242. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:50:10,456][00176] Avg episode reward: [(0, '21.579')] [2023-02-24 15:50:15,330][10350] Updated weights for policy 0, policy_version 2350 (0.0011) [2023-02-24 15:50:15,447][00176] Fps is (10 sec: 4096.5, 60 sec: 3891.2, 300 sec: 3846.1). Total num frames: 9625600. Throughput: 0: 938.0. Samples: 2403616. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:50:15,449][00176] Avg episode reward: [(0, '22.401')] [2023-02-24 15:50:20,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3822.9, 300 sec: 3860.0). Total num frames: 9646080. Throughput: 0: 983.1. Samples: 2410806. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) [2023-02-24 15:50:20,449][00176] Avg episode reward: [(0, '22.420')] [2023-02-24 15:50:25,449][00176] Fps is (10 sec: 3685.5, 60 sec: 3754.5, 300 sec: 3846.0). Total num frames: 9662464. Throughput: 0: 938.7. Samples: 2416116. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:50:25,456][00176] Avg episode reward: [(0, '21.895')] [2023-02-24 15:50:25,937][10350] Updated weights for policy 0, policy_version 2360 (0.0016) [2023-02-24 15:50:30,447][00176] Fps is (10 sec: 3276.8, 60 sec: 3822.9, 300 sec: 3818.3). Total num frames: 9678848. Throughput: 0: 918.7. Samples: 2418418. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:50:30,455][00176] Avg episode reward: [(0, '22.123')] [2023-02-24 15:50:30,476][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000002364_9682944.pth... [2023-02-24 15:50:30,601][10336] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000002138_8757248.pth [2023-02-24 15:50:35,447][00176] Fps is (10 sec: 4097.0, 60 sec: 3891.2, 300 sec: 3860.0). Total num frames: 9703424. Throughput: 0: 969.4. Samples: 2424932. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:50:35,449][00176] Avg episode reward: [(0, '19.803')] [2023-02-24 15:50:35,634][10350] Updated weights for policy 0, policy_version 2370 (0.0021) [2023-02-24 15:50:40,447][00176] Fps is (10 sec: 4915.2, 60 sec: 3891.2, 300 sec: 3887.7). Total num frames: 9728000. Throughput: 0: 1004.9. Samples: 2431996. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:50:40,450][00176] Avg episode reward: [(0, '18.273')] [2023-02-24 15:50:45,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3822.9, 300 sec: 3846.1). Total num frames: 9740288. Throughput: 0: 981.0. Samples: 2434306. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:50:45,456][00176] Avg episode reward: [(0, '18.393')] [2023-02-24 15:50:46,788][10350] Updated weights for policy 0, policy_version 2380 (0.0011) [2023-02-24 15:50:50,447][00176] Fps is (10 sec: 3276.7, 60 sec: 3891.2, 300 sec: 3846.1). Total num frames: 9760768. Throughput: 0: 961.2. Samples: 2439210. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:50:50,449][00176] Avg episode reward: [(0, '19.665')] [2023-02-24 15:50:55,447][00176] Fps is (10 sec: 4505.6, 60 sec: 3959.5, 300 sec: 3887.8). Total num frames: 9785344. Throughput: 0: 1027.4. Samples: 2446474. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:50:55,449][00176] Avg episode reward: [(0, '20.621')] [2023-02-24 15:50:55,762][10350] Updated weights for policy 0, policy_version 2390 (0.0018) [2023-02-24 15:51:00,452][00176] Fps is (10 sec: 4503.5, 60 sec: 3890.9, 300 sec: 3901.5). Total num frames: 9805824. Throughput: 0: 1031.0. Samples: 2450018. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:51:00,454][00176] Avg episode reward: [(0, '20.705')] [2023-02-24 15:51:05,447][00176] Fps is (10 sec: 3686.3, 60 sec: 3959.5, 300 sec: 3873.8). Total num frames: 9822208. Throughput: 0: 982.4. Samples: 2455016. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:51:05,457][00176] Avg episode reward: [(0, '21.493')] [2023-02-24 15:51:07,483][10350] Updated weights for policy 0, policy_version 2400 (0.0015) [2023-02-24 15:51:10,447][00176] Fps is (10 sec: 3688.2, 60 sec: 4027.7, 300 sec: 3887.8). Total num frames: 9842688. Throughput: 0: 986.8. Samples: 2460518. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:51:10,456][00176] Avg episode reward: [(0, '20.776')] [2023-02-24 15:51:15,447][00176] Fps is (10 sec: 4096.1, 60 sec: 3959.5, 300 sec: 3901.6). Total num frames: 9863168. Throughput: 0: 1009.1. Samples: 2463828. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:51:15,448][00176] Avg episode reward: [(0, '22.349')] [2023-02-24 15:51:16,290][10350] Updated weights for policy 0, policy_version 2410 (0.0013) [2023-02-24 15:51:20,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3959.5, 300 sec: 3901.6). Total num frames: 9883648. Throughput: 0: 1011.2. Samples: 2470436. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:51:20,453][00176] Avg episode reward: [(0, '24.572')] [2023-02-24 15:51:25,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3959.6, 300 sec: 3873.8). Total num frames: 9900032. Throughput: 0: 949.8. Samples: 2474736. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:51:25,452][00176] Avg episode reward: [(0, '24.008')] [2023-02-24 15:51:28,566][10350] Updated weights for policy 0, policy_version 2420 (0.0017) [2023-02-24 15:51:30,447][00176] Fps is (10 sec: 3686.4, 60 sec: 4027.7, 300 sec: 3887.7). Total num frames: 9920512. Throughput: 0: 958.0. Samples: 2477418. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) [2023-02-24 15:51:30,449][00176] Avg episode reward: [(0, '25.073')] [2023-02-24 15:51:35,447][00176] Fps is (10 sec: 4096.0, 60 sec: 3959.5, 300 sec: 3901.6). Total num frames: 9940992. Throughput: 0: 995.2. Samples: 2483992. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:51:35,451][00176] Avg episode reward: [(0, '25.775')] [2023-02-24 15:51:38,770][10350] Updated weights for policy 0, policy_version 2430 (0.0012) [2023-02-24 15:51:40,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3822.9, 300 sec: 3887.7). Total num frames: 9957376. Throughput: 0: 954.3. Samples: 2489418. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:51:40,455][00176] Avg episode reward: [(0, '26.642')] [2023-02-24 15:51:45,449][00176] Fps is (10 sec: 2866.6, 60 sec: 3822.8, 300 sec: 3846.0). Total num frames: 9969664. Throughput: 0: 922.1. Samples: 2491512. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) [2023-02-24 15:51:45,455][00176] Avg episode reward: [(0, '25.594')] [2023-02-24 15:51:50,154][10350] Updated weights for policy 0, policy_version 2440 (0.0018) [2023-02-24 15:51:50,447][00176] Fps is (10 sec: 3686.4, 60 sec: 3891.2, 300 sec: 3887.8). Total num frames: 9994240. Throughput: 0: 939.6. Samples: 2497296. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) [2023-02-24 15:51:50,452][00176] Avg episode reward: [(0, '24.406')] [2023-02-24 15:51:52,717][00176] Component Batcher_0 stopped! [2023-02-24 15:51:52,714][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000002443_10006528.pth... [2023-02-24 15:51:52,717][10336] Stopping Batcher_0... [2023-02-24 15:51:52,726][10336] Loop batcher_evt_loop terminating... [2023-02-24 15:51:52,768][10350] Weights refcount: 2 0 [2023-02-24 15:51:52,772][00176] Component InferenceWorker_p0-w0 stopped! [2023-02-24 15:51:52,771][10350] Stopping InferenceWorker_p0-w0... [2023-02-24 15:51:52,779][10350] Loop inference_proc0-0_evt_loop terminating... [2023-02-24 15:51:52,792][00176] Component RolloutWorker_w3 stopped! [2023-02-24 15:51:52,791][10355] Stopping RolloutWorker_w3... [2023-02-24 15:51:52,799][10355] Loop rollout_proc3_evt_loop terminating... [2023-02-24 15:51:52,826][00176] Component RolloutWorker_w4 stopped! [2023-02-24 15:51:52,828][00176] Component RolloutWorker_w1 stopped! [2023-02-24 15:51:52,826][10352] Stopping RolloutWorker_w1... [2023-02-24 15:51:52,834][10352] Loop rollout_proc1_evt_loop terminating... [2023-02-24 15:51:52,833][10354] Stopping RolloutWorker_w4... [2023-02-24 15:51:52,835][10354] Loop rollout_proc4_evt_loop terminating... [2023-02-24 15:51:52,841][10357] Stopping RolloutWorker_w7... [2023-02-24 15:51:52,842][10357] Loop rollout_proc7_evt_loop terminating... [2023-02-24 15:51:52,841][00176] Component RolloutWorker_w7 stopped! [2023-02-24 15:51:52,854][00176] Component RolloutWorker_w0 stopped! [2023-02-24 15:51:52,856][10351] Stopping RolloutWorker_w0... [2023-02-24 15:51:52,859][00176] Component RolloutWorker_w2 stopped! [2023-02-24 15:51:52,861][10353] Stopping RolloutWorker_w2... [2023-02-24 15:51:52,862][10353] Loop rollout_proc2_evt_loop terminating... [2023-02-24 15:51:52,869][00176] Component RolloutWorker_w6 stopped! [2023-02-24 15:51:52,873][10358] Stopping RolloutWorker_w6... [2023-02-24 15:51:52,877][10351] Loop rollout_proc0_evt_loop terminating... [2023-02-24 15:51:52,881][10358] Loop rollout_proc6_evt_loop terminating... [2023-02-24 15:51:52,885][10356] Stopping RolloutWorker_w5... [2023-02-24 15:51:52,885][00176] Component RolloutWorker_w5 stopped! [2023-02-24 15:51:52,886][10356] Loop rollout_proc5_evt_loop terminating... [2023-02-24 15:51:52,922][10336] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000002250_9216000.pth [2023-02-24 15:51:52,938][10336] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000002443_10006528.pth... [2023-02-24 15:51:53,107][00176] Component LearnerWorker_p0 stopped! [2023-02-24 15:51:53,116][00176] Waiting for process learner_proc0 to stop... [2023-02-24 15:51:53,122][10336] Stopping LearnerWorker_p0... [2023-02-24 15:51:53,123][10336] Loop learner_proc0_evt_loop terminating... [2023-02-24 15:51:55,102][00176] Waiting for process inference_proc0-0 to join... [2023-02-24 15:51:55,448][00176] Waiting for process rollout_proc0 to join... [2023-02-24 15:51:56,057][00176] Waiting for process rollout_proc1 to join... [2023-02-24 15:51:56,062][00176] Waiting for process rollout_proc2 to join... [2023-02-24 15:51:56,064][00176] Waiting for process rollout_proc3 to join... [2023-02-24 15:51:56,066][00176] Waiting for process rollout_proc4 to join... [2023-02-24 15:51:56,070][00176] Waiting for process rollout_proc5 to join... [2023-02-24 15:51:56,071][00176] Waiting for process rollout_proc6 to join... [2023-02-24 15:51:56,079][00176] Waiting for process rollout_proc7 to join... [2023-02-24 15:51:56,081][00176] Batcher 0 profile tree view: batching: 61.9047, releasing_batches: 0.0641 [2023-02-24 15:51:56,083][00176] InferenceWorker_p0-w0 profile tree view: wait_policy: 0.0000 wait_policy_total: 1324.5226 update_model: 19.0534 weight_update: 0.0023 one_step: 0.0075 handle_policy_step: 1246.7841 deserialize: 36.3188, stack: 7.2857, obs_to_device_normalize: 280.5484, forward: 596.0528, send_messages: 64.8147 prepare_outputs: 199.0643 to_cpu: 122.1314 [2023-02-24 15:51:56,084][00176] Learner 0 profile tree view: misc: 0.0164, prepare_batch: 33.0225 train: 184.7091 epoch_init: 0.0184, minibatch_init: 0.0190, losses_postprocess: 1.5733, kl_divergence: 1.4860, after_optimizer: 81.6772 calculate_losses: 65.3079 losses_init: 0.0188, forward_head: 4.0963, bptt_initial: 43.1596, tail: 2.6864, advantages_returns: 0.7219, losses: 8.4585 bptt: 5.3761 bptt_forward_core: 5.1987 update: 33.0925 clip: 3.4745 [2023-02-24 15:51:56,086][00176] RolloutWorker_w0 profile tree view: wait_for_trajectories: 0.8548, enqueue_policy_requests: 358.1753, env_step: 2037.5542, overhead: 53.3986, complete_rollouts: 17.0397 save_policy_outputs: 49.7973 split_output_tensors: 24.1047 [2023-02-24 15:51:56,087][00176] RolloutWorker_w7 profile tree view: wait_for_trajectories: 0.7938, enqueue_policy_requests: 368.7011, env_step: 2029.1945, overhead: 50.1468, complete_rollouts: 17.2880 save_policy_outputs: 49.5113 split_output_tensors: 23.7072 [2023-02-24 15:51:56,090][00176] Loop Runner_EvtLoop terminating... [2023-02-24 15:51:56,092][00176] Runner profile tree view: main_loop: 2718.0707 [2023-02-24 15:51:56,093][00176] Collected {0: 10006528}, FPS: 3681.5 [2023-02-24 15:51:56,333][00176] Loading existing experiment configuration from /content/train_dir/default_experiment/config.json [2023-02-24 15:51:56,337][00176] Overriding arg 'num_workers' with value 1 passed from command line [2023-02-24 15:51:56,340][00176] Adding new argument 'no_render'=True that is not in the saved config file! [2023-02-24 15:51:56,341][00176] Adding new argument 'save_video'=True that is not in the saved config file! [2023-02-24 15:51:56,343][00176] Adding new argument 'video_frames'=1000000000.0 that is not in the saved config file! [2023-02-24 15:51:56,345][00176] Adding new argument 'video_name'=None that is not in the saved config file! [2023-02-24 15:51:56,347][00176] Adding new argument 'max_num_frames'=1000000000.0 that is not in the saved config file! [2023-02-24 15:51:56,348][00176] Adding new argument 'max_num_episodes'=10 that is not in the saved config file! [2023-02-24 15:51:56,349][00176] Adding new argument 'push_to_hub'=False that is not in the saved config file! [2023-02-24 15:51:56,351][00176] Adding new argument 'hf_repository'=None that is not in the saved config file! [2023-02-24 15:51:56,352][00176] Adding new argument 'policy_index'=0 that is not in the saved config file! [2023-02-24 15:51:56,353][00176] Adding new argument 'eval_deterministic'=False that is not in the saved config file! [2023-02-24 15:51:56,354][00176] Adding new argument 'train_script'=None that is not in the saved config file! [2023-02-24 15:51:56,355][00176] Adding new argument 'enjoy_script'=None that is not in the saved config file! [2023-02-24 15:51:56,357][00176] Using frameskip 1 and render_action_repeat=4 for evaluation [2023-02-24 15:51:56,389][00176] Doom resolution: 160x120, resize resolution: (128, 72) [2023-02-24 15:51:56,392][00176] RunningMeanStd input shape: (3, 72, 128) [2023-02-24 15:51:56,395][00176] RunningMeanStd input shape: (1,) [2023-02-24 15:51:56,417][00176] ConvEncoder: input_channels=3 [2023-02-24 15:51:57,242][00176] Conv encoder output size: 512 [2023-02-24 15:51:57,247][00176] Policy head output size: 512 [2023-02-24 15:52:00,038][00176] Loading state from checkpoint /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000002443_10006528.pth... [2023-02-24 15:52:01,395][00176] Num frames 100... [2023-02-24 15:52:01,507][00176] Num frames 200... [2023-02-24 15:52:01,619][00176] Num frames 300... [2023-02-24 15:52:01,743][00176] Num frames 400... [2023-02-24 15:52:01,857][00176] Num frames 500... [2023-02-24 15:52:01,971][00176] Num frames 600... [2023-02-24 15:52:02,088][00176] Num frames 700... [2023-02-24 15:52:02,209][00176] Num frames 800... [2023-02-24 15:52:02,273][00176] Avg episode rewards: #0: 15.050, true rewards: #0: 8.050 [2023-02-24 15:52:02,275][00176] Avg episode reward: 15.050, avg true_objective: 8.050 [2023-02-24 15:52:02,383][00176] Num frames 900... [2023-02-24 15:52:02,505][00176] Num frames 1000... [2023-02-24 15:52:02,627][00176] Num frames 1100... [2023-02-24 15:52:02,745][00176] Num frames 1200... [2023-02-24 15:52:02,865][00176] Num frames 1300... [2023-02-24 15:52:02,977][00176] Num frames 1400... [2023-02-24 15:52:03,083][00176] Avg episode rewards: #0: 12.725, true rewards: #0: 7.225 [2023-02-24 15:52:03,087][00176] Avg episode reward: 12.725, avg true_objective: 7.225 [2023-02-24 15:52:03,153][00176] Num frames 1500... [2023-02-24 15:52:03,266][00176] Num frames 1600... [2023-02-24 15:52:03,382][00176] Num frames 1700... [2023-02-24 15:52:03,492][00176] Num frames 1800... [2023-02-24 15:52:03,604][00176] Num frames 1900... [2023-02-24 15:52:03,726][00176] Num frames 2000... [2023-02-24 15:52:03,838][00176] Num frames 2100... [2023-02-24 15:52:03,948][00176] Num frames 2200... [2023-02-24 15:52:04,066][00176] Num frames 2300... [2023-02-24 15:52:04,177][00176] Num frames 2400... [2023-02-24 15:52:04,296][00176] Num frames 2500... [2023-02-24 15:52:04,418][00176] Num frames 2600... [2023-02-24 15:52:04,528][00176] Num frames 2700... [2023-02-24 15:52:04,649][00176] Num frames 2800... [2023-02-24 15:52:04,784][00176] Num frames 2900... [2023-02-24 15:52:04,900][00176] Num frames 3000... [2023-02-24 15:52:05,028][00176] Num frames 3100... [2023-02-24 15:52:05,163][00176] Avg episode rewards: #0: 22.570, true rewards: #0: 10.570 [2023-02-24 15:52:05,165][00176] Avg episode reward: 22.570, avg true_objective: 10.570 [2023-02-24 15:52:05,200][00176] Num frames 3200... [2023-02-24 15:52:05,307][00176] Num frames 3300... [2023-02-24 15:52:05,422][00176] Num frames 3400... [2023-02-24 15:52:05,532][00176] Num frames 3500... [2023-02-24 15:52:05,645][00176] Num frames 3600... [2023-02-24 15:52:05,768][00176] Num frames 3700... [2023-02-24 15:52:05,892][00176] Num frames 3800... [2023-02-24 15:52:06,010][00176] Num frames 3900... [2023-02-24 15:52:06,136][00176] Num frames 4000... [2023-02-24 15:52:06,238][00176] Avg episode rewards: #0: 21.337, true rewards: #0: 10.087 [2023-02-24 15:52:06,241][00176] Avg episode reward: 21.337, avg true_objective: 10.087 [2023-02-24 15:52:06,328][00176] Num frames 4100... [2023-02-24 15:52:06,448][00176] Num frames 4200... [2023-02-24 15:52:06,566][00176] Num frames 4300... [2023-02-24 15:52:06,688][00176] Num frames 4400... [2023-02-24 15:52:06,809][00176] Num frames 4500... [2023-02-24 15:52:06,929][00176] Num frames 4600... [2023-02-24 15:52:07,042][00176] Num frames 4700... [2023-02-24 15:52:07,153][00176] Num frames 4800... [2023-02-24 15:52:07,273][00176] Num frames 4900... [2023-02-24 15:52:07,369][00176] Avg episode rewards: #0: 21.068, true rewards: #0: 9.868 [2023-02-24 15:52:07,372][00176] Avg episode reward: 21.068, avg true_objective: 9.868 [2023-02-24 15:52:07,450][00176] Num frames 5000... [2023-02-24 15:52:07,564][00176] Num frames 5100... [2023-02-24 15:52:07,676][00176] Num frames 5200... [2023-02-24 15:52:07,800][00176] Num frames 5300... [2023-02-24 15:52:07,899][00176] Avg episode rewards: #0: 19.062, true rewards: #0: 8.895 [2023-02-24 15:52:07,901][00176] Avg episode reward: 19.062, avg true_objective: 8.895 [2023-02-24 15:52:07,976][00176] Num frames 5400... [2023-02-24 15:52:08,097][00176] Num frames 5500... [2023-02-24 15:52:08,210][00176] Num frames 5600... [2023-02-24 15:52:08,329][00176] Num frames 5700... [2023-02-24 15:52:08,449][00176] Num frames 5800... [2023-02-24 15:52:08,563][00176] Num frames 5900... [2023-02-24 15:52:08,702][00176] Num frames 6000... [2023-02-24 15:52:08,873][00176] Num frames 6100... [2023-02-24 15:52:09,033][00176] Num frames 6200... [2023-02-24 15:52:09,196][00176] Num frames 6300... [2023-02-24 15:52:09,350][00176] Num frames 6400... [2023-02-24 15:52:09,507][00176] Num frames 6500... [2023-02-24 15:52:09,671][00176] Num frames 6600... [2023-02-24 15:52:09,831][00176] Num frames 6700... [2023-02-24 15:52:09,993][00176] Num frames 6800... [2023-02-24 15:52:10,154][00176] Num frames 6900... [2023-02-24 15:52:10,341][00176] Avg episode rewards: #0: 21.691, true rewards: #0: 9.977 [2023-02-24 15:52:10,344][00176] Avg episode reward: 21.691, avg true_objective: 9.977 [2023-02-24 15:52:10,380][00176] Num frames 7000... [2023-02-24 15:52:10,545][00176] Num frames 7100... [2023-02-24 15:52:10,700][00176] Num frames 7200... [2023-02-24 15:52:10,864][00176] Num frames 7300... [2023-02-24 15:52:11,035][00176] Num frames 7400... [2023-02-24 15:52:11,199][00176] Num frames 7500... [2023-02-24 15:52:11,361][00176] Num frames 7600... [2023-02-24 15:52:11,563][00176] Avg episode rewards: #0: 20.735, true rewards: #0: 9.610 [2023-02-24 15:52:11,566][00176] Avg episode reward: 20.735, avg true_objective: 9.610 [2023-02-24 15:52:11,599][00176] Num frames 7700... [2023-02-24 15:52:11,713][00176] Num frames 7800... [2023-02-24 15:52:11,832][00176] Num frames 7900... [2023-02-24 15:52:11,950][00176] Num frames 8000... [2023-02-24 15:52:12,067][00176] Num frames 8100... [2023-02-24 15:52:12,178][00176] Num frames 8200... [2023-02-24 15:52:12,297][00176] Num frames 8300... [2023-02-24 15:52:12,406][00176] Num frames 8400... [2023-02-24 15:52:12,523][00176] Num frames 8500... [2023-02-24 15:52:12,637][00176] Num frames 8600... [2023-02-24 15:52:12,750][00176] Num frames 8700... [2023-02-24 15:52:12,867][00176] Num frames 8800... [2023-02-24 15:52:12,984][00176] Num frames 8900... [2023-02-24 15:52:13,116][00176] Avg episode rewards: #0: 21.853, true rewards: #0: 9.964 [2023-02-24 15:52:13,118][00176] Avg episode reward: 21.853, avg true_objective: 9.964 [2023-02-24 15:52:13,159][00176] Num frames 9000... [2023-02-24 15:52:13,272][00176] Num frames 9100... [2023-02-24 15:52:13,384][00176] Num frames 9200... [2023-02-24 15:52:13,499][00176] Num frames 9300... [2023-02-24 15:52:13,633][00176] Num frames 9400... [2023-02-24 15:52:13,748][00176] Num frames 9500... [2023-02-24 15:52:13,869][00176] Num frames 9600... [2023-02-24 15:52:13,995][00176] Num frames 9700... [2023-02-24 15:52:14,110][00176] Num frames 9800... [2023-02-24 15:52:14,232][00176] Num frames 9900... [2023-02-24 15:52:14,348][00176] Num frames 10000... [2023-02-24 15:52:14,468][00176] Num frames 10100... [2023-02-24 15:52:14,626][00176] Avg episode rewards: #0: 22.384, true rewards: #0: 10.184 [2023-02-24 15:52:14,629][00176] Avg episode reward: 22.384, avg true_objective: 10.184 [2023-02-24 15:53:14,955][00176] Replay video saved to /content/train_dir/default_experiment/replay.mp4! [2023-02-24 15:53:15,645][00176] Loading existing experiment configuration from /content/train_dir/default_experiment/config.json [2023-02-24 15:53:15,647][00176] Overriding arg 'num_workers' with value 1 passed from command line [2023-02-24 15:53:15,650][00176] Adding new argument 'no_render'=True that is not in the saved config file! [2023-02-24 15:53:15,652][00176] Adding new argument 'save_video'=True that is not in the saved config file! [2023-02-24 15:53:15,655][00176] Adding new argument 'video_frames'=1000000000.0 that is not in the saved config file! [2023-02-24 15:53:15,660][00176] Adding new argument 'video_name'=None that is not in the saved config file! [2023-02-24 15:53:15,662][00176] Adding new argument 'max_num_frames'=100000 that is not in the saved config file! [2023-02-24 15:53:15,664][00176] Adding new argument 'max_num_episodes'=10 that is not in the saved config file! [2023-02-24 15:53:15,665][00176] Adding new argument 'push_to_hub'=True that is not in the saved config file! [2023-02-24 15:53:15,666][00176] Adding new argument 'hf_repository'='mnavas/rl_course_vizdoom_health_gathering_supreme' that is not in the saved config file! [2023-02-24 15:53:15,669][00176] Adding new argument 'policy_index'=0 that is not in the saved config file! [2023-02-24 15:53:15,670][00176] Adding new argument 'eval_deterministic'=False that is not in the saved config file! [2023-02-24 15:53:15,671][00176] Adding new argument 'train_script'=None that is not in the saved config file! [2023-02-24 15:53:15,672][00176] Adding new argument 'enjoy_script'=None that is not in the saved config file! [2023-02-24 15:53:15,673][00176] Using frameskip 1 and render_action_repeat=4 for evaluation [2023-02-24 15:53:15,708][00176] RunningMeanStd input shape: (3, 72, 128) [2023-02-24 15:53:15,710][00176] RunningMeanStd input shape: (1,) [2023-02-24 15:53:15,732][00176] ConvEncoder: input_channels=3 [2023-02-24 15:53:15,806][00176] Conv encoder output size: 512 [2023-02-24 15:53:15,810][00176] Policy head output size: 512 [2023-02-24 15:53:15,840][00176] Loading state from checkpoint /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000002443_10006528.pth... [2023-02-24 15:53:16,553][00176] Num frames 100... [2023-02-24 15:53:16,709][00176] Num frames 200... [2023-02-24 15:53:16,867][00176] Num frames 300... [2023-02-24 15:53:17,018][00176] Num frames 400... [2023-02-24 15:53:17,174][00176] Num frames 500... [2023-02-24 15:53:17,299][00176] Avg episode rewards: #0: 7.440, true rewards: #0: 5.440 [2023-02-24 15:53:17,301][00176] Avg episode reward: 7.440, avg true_objective: 5.440 [2023-02-24 15:53:17,422][00176] Num frames 600... [2023-02-24 15:53:17,611][00176] Num frames 700... [2023-02-24 15:53:17,785][00176] Num frames 800... [2023-02-24 15:53:17,964][00176] Num frames 900... [2023-02-24 15:53:18,128][00176] Num frames 1000... [2023-02-24 15:53:18,291][00176] Num frames 1100... [2023-02-24 15:53:18,467][00176] Num frames 1200... [2023-02-24 15:53:18,656][00176] Num frames 1300... [2023-02-24 15:53:18,860][00176] Num frames 1400... [2023-02-24 15:53:19,046][00176] Num frames 1500... [2023-02-24 15:53:19,223][00176] Avg episode rewards: #0: 15.860, true rewards: #0: 7.860 [2023-02-24 15:53:19,226][00176] Avg episode reward: 15.860, avg true_objective: 7.860 [2023-02-24 15:53:19,284][00176] Num frames 1600... [2023-02-24 15:53:19,469][00176] Num frames 1700... [2023-02-24 15:53:19,641][00176] Num frames 1800... [2023-02-24 15:53:19,813][00176] Num frames 1900... [2023-02-24 15:53:19,990][00176] Num frames 2000... [2023-02-24 15:53:20,169][00176] Num frames 2100... [2023-02-24 15:53:20,355][00176] Num frames 2200... [2023-02-24 15:53:20,553][00176] Num frames 2300... [2023-02-24 15:53:20,729][00176] Num frames 2400... [2023-02-24 15:53:20,895][00176] Num frames 2500... [2023-02-24 15:53:21,070][00176] Num frames 2600... [2023-02-24 15:53:21,250][00176] Num frames 2700... [2023-02-24 15:53:21,435][00176] Num frames 2800... [2023-02-24 15:53:21,631][00176] Num frames 2900... [2023-02-24 15:53:21,717][00176] Avg episode rewards: #0: 22.053, true rewards: #0: 9.720 [2023-02-24 15:53:21,719][00176] Avg episode reward: 22.053, avg true_objective: 9.720 [2023-02-24 15:53:21,875][00176] Num frames 3000... [2023-02-24 15:53:22,037][00176] Num frames 3100... [2023-02-24 15:53:22,217][00176] Num frames 3200... [2023-02-24 15:53:22,430][00176] Num frames 3300... [2023-02-24 15:53:22,645][00176] Num frames 3400... [2023-02-24 15:53:22,839][00176] Num frames 3500... [2023-02-24 15:53:23,028][00176] Num frames 3600... [2023-02-24 15:53:23,229][00176] Num frames 3700... [2023-02-24 15:53:23,353][00176] Avg episode rewards: #0: 20.850, true rewards: #0: 9.350 [2023-02-24 15:53:23,355][00176] Avg episode reward: 20.850, avg true_objective: 9.350 [2023-02-24 15:53:23,460][00176] Num frames 3800... [2023-02-24 15:53:23,635][00176] Num frames 3900... [2023-02-24 15:53:23,881][00176] Avg episode rewards: #0: 17.192, true rewards: #0: 7.992 [2023-02-24 15:53:23,884][00176] Avg episode reward: 17.192, avg true_objective: 7.992 [2023-02-24 15:53:23,894][00176] Num frames 4000... [2023-02-24 15:53:24,064][00176] Num frames 4100... [2023-02-24 15:53:24,234][00176] Num frames 4200... [2023-02-24 15:53:24,410][00176] Num frames 4300... [2023-02-24 15:53:24,594][00176] Num frames 4400... [2023-02-24 15:53:24,788][00176] Num frames 4500... [2023-02-24 15:53:24,963][00176] Num frames 4600... [2023-02-24 15:53:25,118][00176] Num frames 4700... [2023-02-24 15:53:25,279][00176] Num frames 4800... [2023-02-24 15:53:25,439][00176] Num frames 4900... [2023-02-24 15:53:25,612][00176] Num frames 5000... [2023-02-24 15:53:25,766][00176] Avg episode rewards: #0: 18.253, true rewards: #0: 8.420 [2023-02-24 15:53:25,769][00176] Avg episode reward: 18.253, avg true_objective: 8.420 [2023-02-24 15:53:25,847][00176] Num frames 5100... [2023-02-24 15:53:26,027][00176] Num frames 5200... [2023-02-24 15:53:26,211][00176] Num frames 5300... [2023-02-24 15:53:26,378][00176] Num frames 5400... [2023-02-24 15:53:26,492][00176] Num frames 5500... [2023-02-24 15:53:26,607][00176] Num frames 5600... [2023-02-24 15:53:26,721][00176] Num frames 5700... [2023-02-24 15:53:26,834][00176] Num frames 5800... [2023-02-24 15:53:26,952][00176] Num frames 5900... [2023-02-24 15:53:27,068][00176] Num frames 6000... [2023-02-24 15:53:27,183][00176] Num frames 6100... [2023-02-24 15:53:27,297][00176] Num frames 6200... [2023-02-24 15:53:27,411][00176] Num frames 6300... [2023-02-24 15:53:27,526][00176] Num frames 6400... [2023-02-24 15:53:27,644][00176] Num frames 6500... [2023-02-24 15:53:27,756][00176] Num frames 6600... [2023-02-24 15:53:27,870][00176] Num frames 6700... [2023-02-24 15:53:27,986][00176] Num frames 6800... [2023-02-24 15:53:28,125][00176] Avg episode rewards: #0: 23.251, true rewards: #0: 9.823 [2023-02-24 15:53:28,127][00176] Avg episode reward: 23.251, avg true_objective: 9.823 [2023-02-24 15:53:28,160][00176] Num frames 6900... [2023-02-24 15:53:28,274][00176] Num frames 7000... [2023-02-24 15:53:28,383][00176] Num frames 7100... [2023-02-24 15:53:28,492][00176] Num frames 7200... [2023-02-24 15:53:28,607][00176] Num frames 7300... [2023-02-24 15:53:28,727][00176] Num frames 7400... [2023-02-24 15:53:28,842][00176] Num frames 7500... [2023-02-24 15:53:28,954][00176] Num frames 7600... [2023-02-24 15:53:29,074][00176] Num frames 7700... [2023-02-24 15:53:29,187][00176] Num frames 7800... [2023-02-24 15:53:29,300][00176] Num frames 7900... [2023-02-24 15:53:29,411][00176] Num frames 8000... [2023-02-24 15:53:29,527][00176] Num frames 8100... [2023-02-24 15:53:29,649][00176] Num frames 8200... [2023-02-24 15:53:29,769][00176] Num frames 8300... [2023-02-24 15:53:29,887][00176] Num frames 8400... [2023-02-24 15:53:30,000][00176] Num frames 8500... [2023-02-24 15:53:30,132][00176] Num frames 8600... [2023-02-24 15:53:30,289][00176] Num frames 8700... [2023-02-24 15:53:30,451][00176] Num frames 8800... [2023-02-24 15:53:30,615][00176] Num frames 8900... [2023-02-24 15:53:30,709][00176] Avg episode rewards: #0: 27.030, true rewards: #0: 11.155 [2023-02-24 15:53:30,711][00176] Avg episode reward: 27.030, avg true_objective: 11.155 [2023-02-24 15:53:30,855][00176] Num frames 9000... [2023-02-24 15:53:31,014][00176] Num frames 9100... [2023-02-24 15:53:31,178][00176] Num frames 9200... [2023-02-24 15:53:31,353][00176] Num frames 9300... [2023-02-24 15:53:31,529][00176] Num frames 9400... [2023-02-24 15:53:31,718][00176] Num frames 9500... [2023-02-24 15:53:31,905][00176] Num frames 9600... [2023-02-24 15:53:32,080][00176] Num frames 9700... [2023-02-24 15:53:32,252][00176] Num frames 9800... [2023-02-24 15:53:32,426][00176] Num frames 9900... [2023-02-24 15:53:32,607][00176] Num frames 10000... [2023-02-24 15:53:32,796][00176] Num frames 10100... [2023-02-24 15:53:32,989][00176] Num frames 10200... [2023-02-24 15:53:33,170][00176] Num frames 10300... [2023-02-24 15:53:33,333][00176] Num frames 10400... [2023-02-24 15:53:33,502][00176] Num frames 10500... [2023-02-24 15:53:33,720][00176] Avg episode rewards: #0: 28.994, true rewards: #0: 11.772 [2023-02-24 15:53:33,723][00176] Avg episode reward: 28.994, avg true_objective: 11.772 [2023-02-24 15:53:33,734][00176] Num frames 10600... [2023-02-24 15:53:33,895][00176] Num frames 10700... [2023-02-24 15:53:34,069][00176] Num frames 10800... [2023-02-24 15:53:34,234][00176] Num frames 10900... [2023-02-24 15:53:34,403][00176] Num frames 11000... [2023-02-24 15:53:34,537][00176] Num frames 11100... [2023-02-24 15:53:34,650][00176] Num frames 11200... [2023-02-24 15:53:34,748][00176] Avg episode rewards: #0: 27.135, true rewards: #0: 11.235 [2023-02-24 15:53:34,749][00176] Avg episode reward: 27.135, avg true_objective: 11.235 [2023-02-24 15:54:38,715][00176] Replay video saved to /content/train_dir/default_experiment/replay.mp4! [2023-02-24 16:00:49,305][00176] Loading existing experiment configuration from /content/train_dir/default_experiment/config.json [2023-02-24 16:00:49,308][00176] Overriding arg 'num_workers' with value 1 passed from command line [2023-02-24 16:00:49,310][00176] Adding new argument 'no_render'=True that is not in the saved config file! [2023-02-24 16:00:49,312][00176] Adding new argument 'save_video'=True that is not in the saved config file! [2023-02-24 16:00:49,315][00176] Adding new argument 'video_frames'=1000000000.0 that is not in the saved config file! [2023-02-24 16:00:49,317][00176] Adding new argument 'video_name'=None that is not in the saved config file! [2023-02-24 16:00:49,320][00176] Adding new argument 'max_num_frames'=100000 that is not in the saved config file! [2023-02-24 16:00:49,321][00176] Adding new argument 'max_num_episodes'=10 that is not in the saved config file! [2023-02-24 16:00:49,322][00176] Adding new argument 'push_to_hub'=True that is not in the saved config file! [2023-02-24 16:00:49,326][00176] Adding new argument 'hf_repository'='mnavas/rl_course_vizdoom_health_gathering_supreme' that is not in the saved config file! [2023-02-24 16:00:49,327][00176] Adding new argument 'policy_index'=0 that is not in the saved config file! [2023-02-24 16:00:49,328][00176] Adding new argument 'eval_deterministic'=False that is not in the saved config file! [2023-02-24 16:00:49,329][00176] Adding new argument 'train_script'=None that is not in the saved config file! [2023-02-24 16:00:49,330][00176] Adding new argument 'enjoy_script'=None that is not in the saved config file! [2023-02-24 16:00:49,331][00176] Using frameskip 1 and render_action_repeat=4 for evaluation [2023-02-24 16:00:49,361][00176] RunningMeanStd input shape: (3, 72, 128) [2023-02-24 16:00:49,365][00176] RunningMeanStd input shape: (1,) [2023-02-24 16:00:49,384][00176] ConvEncoder: input_channels=3 [2023-02-24 16:00:49,442][00176] Conv encoder output size: 512 [2023-02-24 16:00:49,445][00176] Policy head output size: 512 [2023-02-24 16:00:49,473][00176] Loading state from checkpoint /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000002443_10006528.pth... [2023-02-24 16:00:50,143][00176] Num frames 100... [2023-02-24 16:00:50,297][00176] Num frames 200... [2023-02-24 16:00:50,447][00176] Num frames 300... [2023-02-24 16:00:50,772][00176] Avg episode rewards: #0: 3.840, true rewards: #0: 3.840 [2023-02-24 16:00:50,775][00176] Avg episode reward: 3.840, avg true_objective: 3.840 [2023-02-24 16:00:50,839][00176] Num frames 400... [2023-02-24 16:00:51,173][00176] Num frames 500... [2023-02-24 16:00:51,465][00176] Num frames 600... [2023-02-24 16:00:51,828][00176] Num frames 700... [2023-02-24 16:00:52,142][00176] Num frames 800... [2023-02-24 16:00:52,368][00176] Num frames 900... [2023-02-24 16:00:52,578][00176] Num frames 1000... [2023-02-24 16:00:52,779][00176] Num frames 1100... [2023-02-24 16:00:53,017][00176] Num frames 1200... [2023-02-24 16:00:53,205][00176] Num frames 1300... [2023-02-24 16:00:53,421][00176] Num frames 1400... [2023-02-24 16:00:53,654][00176] Num frames 1500... [2023-02-24 16:00:53,833][00176] Num frames 1600... [2023-02-24 16:00:54,208][00176] Num frames 1700... [2023-02-24 16:00:54,434][00176] Num frames 1800... [2023-02-24 16:00:54,607][00176] Num frames 1900... [2023-02-24 16:00:54,895][00176] Num frames 2000... [2023-02-24 16:00:55,104][00176] Num frames 2100... [2023-02-24 16:00:55,225][00176] Num frames 2200... [2023-02-24 16:00:55,335][00176] Num frames 2300... [2023-02-24 16:00:55,432][00176] Avg episode rewards: #0: 28.179, true rewards: #0: 11.680 [2023-02-24 16:00:55,434][00176] Avg episode reward: 28.179, avg true_objective: 11.680 [2023-02-24 16:00:55,514][00176] Num frames 2400... [2023-02-24 16:00:55,638][00176] Num frames 2500... [2023-02-24 16:00:55,755][00176] Num frames 2600... [2023-02-24 16:00:55,874][00176] Num frames 2700... [2023-02-24 16:00:56,016][00176] Num frames 2800... [2023-02-24 16:00:56,132][00176] Num frames 2900... [2023-02-24 16:00:56,249][00176] Num frames 3000... [2023-02-24 16:00:56,357][00176] Num frames 3100... [2023-02-24 16:00:56,480][00176] Num frames 3200... [2023-02-24 16:00:56,591][00176] Num frames 3300... [2023-02-24 16:00:56,713][00176] Num frames 3400... [2023-02-24 16:00:56,838][00176] Num frames 3500... [2023-02-24 16:00:56,960][00176] Num frames 3600... [2023-02-24 16:00:57,107][00176] Avg episode rewards: #0: 29.266, true rewards: #0: 12.267 [2023-02-24 16:00:57,109][00176] Avg episode reward: 29.266, avg true_objective: 12.267 [2023-02-24 16:00:57,136][00176] Num frames 3700... [2023-02-24 16:00:57,256][00176] Num frames 3800... [2023-02-24 16:00:57,370][00176] Num frames 3900... [2023-02-24 16:00:57,484][00176] Num frames 4000... [2023-02-24 16:00:57,613][00176] Num frames 4100... [2023-02-24 16:00:57,737][00176] Num frames 4200... [2023-02-24 16:00:57,864][00176] Num frames 4300... [2023-02-24 16:00:57,990][00176] Num frames 4400... [2023-02-24 16:00:58,122][00176] Num frames 4500... [2023-02-24 16:00:58,249][00176] Num frames 4600... [2023-02-24 16:00:58,368][00176] Num frames 4700... [2023-02-24 16:00:58,489][00176] Num frames 4800... [2023-02-24 16:00:58,614][00176] Num frames 4900... [2023-02-24 16:00:58,735][00176] Num frames 5000... [2023-02-24 16:00:58,858][00176] Num frames 5100... [2023-02-24 16:00:58,985][00176] Num frames 5200... [2023-02-24 16:00:59,106][00176] Num frames 5300... [2023-02-24 16:00:59,230][00176] Num frames 5400... [2023-02-24 16:00:59,352][00176] Num frames 5500... [2023-02-24 16:00:59,468][00176] Num frames 5600... [2023-02-24 16:00:59,600][00176] Num frames 5700... [2023-02-24 16:00:59,748][00176] Avg episode rewards: #0: 35.450, true rewards: #0: 14.450 [2023-02-24 16:00:59,750][00176] Avg episode reward: 35.450, avg true_objective: 14.450 [2023-02-24 16:00:59,782][00176] Num frames 5800... [2023-02-24 16:00:59,906][00176] Num frames 5900... [2023-02-24 16:01:00,032][00176] Num frames 6000... [2023-02-24 16:01:00,147][00176] Num frames 6100... [2023-02-24 16:01:00,273][00176] Num frames 6200... [2023-02-24 16:01:00,397][00176] Num frames 6300... [2023-02-24 16:01:00,526][00176] Num frames 6400... [2023-02-24 16:01:00,650][00176] Num frames 6500... [2023-02-24 16:01:00,773][00176] Num frames 6600... [2023-02-24 16:01:00,888][00176] Num frames 6700... [2023-02-24 16:01:01,025][00176] Num frames 6800... [2023-02-24 16:01:01,138][00176] Num frames 6900... [2023-02-24 16:01:01,251][00176] Num frames 7000... [2023-02-24 16:01:01,366][00176] Num frames 7100... [2023-02-24 16:01:01,479][00176] Num frames 7200... [2023-02-24 16:01:01,557][00176] Avg episode rewards: #0: 35.634, true rewards: #0: 14.434 [2023-02-24 16:01:01,559][00176] Avg episode reward: 35.634, avg true_objective: 14.434 [2023-02-24 16:01:01,658][00176] Num frames 7300... [2023-02-24 16:01:01,788][00176] Num frames 7400... [2023-02-24 16:01:01,914][00176] Num frames 7500... [2023-02-24 16:01:02,058][00176] Num frames 7600... [2023-02-24 16:01:02,223][00176] Num frames 7700... [2023-02-24 16:01:02,419][00176] Num frames 7800... [2023-02-24 16:01:02,612][00176] Num frames 7900... [2023-02-24 16:01:02,797][00176] Num frames 8000... [2023-02-24 16:01:02,971][00176] Num frames 8100... [2023-02-24 16:01:03,144][00176] Num frames 8200... [2023-02-24 16:01:03,311][00176] Num frames 8300... [2023-02-24 16:01:03,478][00176] Num frames 8400... [2023-02-24 16:01:03,642][00176] Num frames 8500... [2023-02-24 16:01:03,812][00176] Num frames 8600... [2023-02-24 16:01:03,970][00176] Num frames 8700... [2023-02-24 16:01:04,147][00176] Num frames 8800... [2023-02-24 16:01:04,215][00176] Avg episode rewards: #0: 36.340, true rewards: #0: 14.673 [2023-02-24 16:01:04,218][00176] Avg episode reward: 36.340, avg true_objective: 14.673 [2023-02-24 16:01:04,384][00176] Num frames 8900... [2023-02-24 16:01:04,561][00176] Num frames 9000... [2023-02-24 16:01:04,736][00176] Num frames 9100... [2023-02-24 16:01:04,915][00176] Num frames 9200... [2023-02-24 16:01:05,083][00176] Num frames 9300... [2023-02-24 16:01:05,258][00176] Num frames 9400... [2023-02-24 16:01:05,414][00176] Num frames 9500... [2023-02-24 16:01:05,576][00176] Num frames 9600... [2023-02-24 16:01:05,665][00176] Avg episode rewards: #0: 33.455, true rewards: #0: 13.741 [2023-02-24 16:01:05,667][00176] Avg episode reward: 33.455, avg true_objective: 13.741 [2023-02-24 16:01:05,812][00176] Num frames 9700... [2023-02-24 16:01:05,956][00176] Num frames 9800... [2023-02-24 16:01:06,078][00176] Num frames 9900... [2023-02-24 16:01:06,198][00176] Num frames 10000... [2023-02-24 16:01:06,317][00176] Num frames 10100... [2023-02-24 16:01:06,437][00176] Num frames 10200... [2023-02-24 16:01:06,548][00176] Num frames 10300... [2023-02-24 16:01:06,663][00176] Num frames 10400... [2023-02-24 16:01:06,787][00176] Num frames 10500... [2023-02-24 16:01:06,904][00176] Num frames 10600... [2023-02-24 16:01:07,026][00176] Num frames 10700... [2023-02-24 16:01:07,141][00176] Num frames 10800... [2023-02-24 16:01:07,261][00176] Num frames 10900... [2023-02-24 16:01:07,376][00176] Num frames 11000... [2023-02-24 16:01:07,488][00176] Num frames 11100... [2023-02-24 16:01:07,588][00176] Avg episode rewards: #0: 33.922, true rewards: #0: 13.922 [2023-02-24 16:01:07,589][00176] Avg episode reward: 33.922, avg true_objective: 13.922 [2023-02-24 16:01:07,671][00176] Num frames 11200... [2023-02-24 16:01:07,787][00176] Num frames 11300... [2023-02-24 16:01:07,857][00176] Avg episode rewards: #0: 30.345, true rewards: #0: 12.568 [2023-02-24 16:01:07,859][00176] Avg episode reward: 30.345, avg true_objective: 12.568 [2023-02-24 16:01:07,964][00176] Num frames 11400... [2023-02-24 16:01:08,078][00176] Num frames 11500... [2023-02-24 16:01:08,201][00176] Num frames 11600... [2023-02-24 16:01:08,314][00176] Num frames 11700... [2023-02-24 16:01:08,429][00176] Num frames 11800... [2023-02-24 16:01:08,540][00176] Num frames 11900... [2023-02-24 16:01:08,665][00176] Num frames 12000... [2023-02-24 16:01:08,789][00176] Num frames 12100... [2023-02-24 16:01:08,903][00176] Num frames 12200... [2023-02-24 16:01:09,018][00176] Num frames 12300... [2023-02-24 16:01:09,137][00176] Num frames 12400... [2023-02-24 16:01:09,253][00176] Num frames 12500... [2023-02-24 16:01:09,371][00176] Num frames 12600... [2023-02-24 16:01:09,480][00176] Num frames 12700... [2023-02-24 16:01:09,591][00176] Num frames 12800... [2023-02-24 16:01:09,719][00176] Num frames 12900... [2023-02-24 16:01:09,839][00176] Num frames 13000... [2023-02-24 16:01:09,948][00176] Num frames 13100... [2023-02-24 16:01:10,044][00176] Avg episode rewards: #0: 32.035, true rewards: #0: 13.135 [2023-02-24 16:01:10,046][00176] Avg episode reward: 32.035, avg true_objective: 13.135 [2023-02-24 16:02:29,126][00176] Replay video saved to /content/train_dir/default_experiment/replay.mp4!