| [2023-02-23 09:42:48,897][11985] Saving configuration to /content/train_dir/default_experiment/config.json... | |
| [2023-02-23 09:42:48,905][11985] Rollout worker 0 uses device cpu | |
| [2023-02-23 09:42:48,906][11985] Rollout worker 1 uses device cpu | |
| [2023-02-23 09:42:48,908][11985] Rollout worker 2 uses device cpu | |
| [2023-02-23 09:42:48,909][11985] Rollout worker 3 uses device cpu | |
| [2023-02-23 09:42:48,912][11985] Rollout worker 4 uses device cpu | |
| [2023-02-23 09:42:48,919][11985] Rollout worker 5 uses device cpu | |
| [2023-02-23 09:42:48,923][11985] Rollout worker 6 uses device cpu | |
| [2023-02-23 09:42:48,924][11985] Rollout worker 7 uses device cpu | |
| [2023-02-23 09:42:49,107][11985] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-02-23 09:42:49,109][11985] InferenceWorker_p0-w0: min num requests: 2 | |
| [2023-02-23 09:42:49,154][11985] Starting all processes... | |
| [2023-02-23 09:42:49,156][11985] Starting process learner_proc0 | |
| [2023-02-23 09:42:49,248][11985] Starting all processes... | |
| [2023-02-23 09:42:49,259][11985] Starting process inference_proc0-0 | |
| [2023-02-23 09:42:49,260][11985] Starting process rollout_proc0 | |
| [2023-02-23 09:42:49,261][11985] Starting process rollout_proc1 | |
| [2023-02-23 09:42:49,261][11985] Starting process rollout_proc2 | |
| [2023-02-23 09:42:49,261][11985] Starting process rollout_proc3 | |
| [2023-02-23 09:42:49,261][11985] Starting process rollout_proc4 | |
| [2023-02-23 09:42:49,261][11985] Starting process rollout_proc5 | |
| [2023-02-23 09:42:49,261][11985] Starting process rollout_proc6 | |
| [2023-02-23 09:42:49,261][11985] Starting process rollout_proc7 | |
| [2023-02-23 09:42:54,027][12181] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-02-23 09:42:54,028][12181] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for learning process 0 | |
| [2023-02-23 09:42:54,488][12201] Worker 1 uses CPU cores [1] | |
| [2023-02-23 09:42:54,627][12195] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-02-23 09:42:54,627][12195] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for inference process 0 | |
| [2023-02-23 09:42:54,638][12203] Worker 3 uses CPU cores [3] | |
| [2023-02-23 09:42:54,878][12196] Worker 0 uses CPU cores [0] | |
| [2023-02-23 09:42:54,935][12204] Worker 4 uses CPU cores [0] | |
| [2023-02-23 09:42:54,984][12208] Worker 7 uses CPU cores [3] | |
| [2023-02-23 09:42:55,013][12206] Worker 6 uses CPU cores [2] | |
| [2023-02-23 09:42:55,026][12181] Num visible devices: 1 | |
| [2023-02-23 09:42:55,029][12195] Num visible devices: 1 | |
| [2023-02-23 09:42:55,048][12181] Starting seed is not provided | |
| [2023-02-23 09:42:55,048][12181] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-02-23 09:42:55,048][12181] Initializing actor-critic model on device cuda:0 | |
| [2023-02-23 09:42:55,049][12181] RunningMeanStd input shape: (3, 72, 128) | |
| [2023-02-23 09:42:55,050][12181] RunningMeanStd input shape: (1,) | |
| [2023-02-23 09:42:55,062][12205] Worker 5 uses CPU cores [1] | |
| [2023-02-23 09:42:55,063][12181] ConvEncoder: input_channels=3 | |
| [2023-02-23 09:42:55,066][12202] Worker 2 uses CPU cores [2] | |
| [2023-02-23 09:42:55,348][12181] Conv encoder output size: 512 | |
| [2023-02-23 09:42:55,349][12181] Policy head output size: 512 | |
| [2023-02-23 09:42:55,394][12181] Created Actor Critic model with architecture: | |
| [2023-02-23 09:42:55,394][12181] 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) | |
| ) | |
| ) | |
| [2023-02-23 09:43:02,976][12181] Using optimizer <class 'torch.optim.adam.Adam'> | |
| [2023-02-23 09:43:02,976][12181] No checkpoints found | |
| [2023-02-23 09:43:02,977][12181] Did not load from checkpoint, starting from scratch! | |
| [2023-02-23 09:43:02,977][12181] Initialized policy 0 weights for model version 0 | |
| [2023-02-23 09:43:02,979][12181] Using GPUs [0] for process 0 (actually maps to GPUs [0]) | |
| [2023-02-23 09:43:02,981][12181] LearnerWorker_p0 finished initialization! | |
| [2023-02-23 09:43:03,080][12195] RunningMeanStd input shape: (3, 72, 128) | |
| [2023-02-23 09:43:03,082][12195] RunningMeanStd input shape: (1,) | |
| [2023-02-23 09:43:03,098][12195] ConvEncoder: input_channels=3 | |
| [2023-02-23 09:43:03,199][12195] Conv encoder output size: 512 | |
| [2023-02-23 09:43:03,199][12195] Policy head output size: 512 | |
| [2023-02-23 09:43:04,449][11985] 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) | |
| [2023-02-23 09:43:05,356][11985] Inference worker 0-0 is ready! | |
| [2023-02-23 09:43:05,358][11985] All inference workers are ready! Signal rollout workers to start! | |
| [2023-02-23 09:43:05,406][12206] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-02-23 09:43:05,409][12196] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-02-23 09:43:05,409][12202] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-02-23 09:43:05,409][12201] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-02-23 09:43:05,410][12205] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-02-23 09:43:05,411][12204] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-02-23 09:43:05,408][12208] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-02-23 09:43:05,417][12203] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-02-23 09:43:05,842][12196] Decorrelating experience for 0 frames... | |
| [2023-02-23 09:43:05,842][12206] Decorrelating experience for 0 frames... | |
| [2023-02-23 09:43:05,890][12201] Decorrelating experience for 0 frames... | |
| [2023-02-23 09:43:05,895][12205] Decorrelating experience for 0 frames... | |
| [2023-02-23 09:43:06,179][12206] Decorrelating experience for 32 frames... | |
| [2023-02-23 09:43:06,304][12203] Decorrelating experience for 0 frames... | |
| [2023-02-23 09:43:06,465][12196] Decorrelating experience for 32 frames... | |
| [2023-02-23 09:43:06,464][12208] Decorrelating experience for 0 frames... | |
| [2023-02-23 09:43:06,568][12205] Decorrelating experience for 32 frames... | |
| [2023-02-23 09:43:06,614][12204] Decorrelating experience for 0 frames... | |
| [2023-02-23 09:43:06,709][12206] Decorrelating experience for 64 frames... | |
| [2023-02-23 09:43:06,738][12203] Decorrelating experience for 32 frames... | |
| [2023-02-23 09:43:07,174][12204] Decorrelating experience for 32 frames... | |
| [2023-02-23 09:43:07,198][12202] Decorrelating experience for 0 frames... | |
| [2023-02-23 09:43:07,332][12205] Decorrelating experience for 64 frames... | |
| [2023-02-23 09:43:07,338][12206] Decorrelating experience for 96 frames... | |
| [2023-02-23 09:43:07,386][12201] Decorrelating experience for 32 frames... | |
| [2023-02-23 09:43:07,388][12196] Decorrelating experience for 64 frames... | |
| [2023-02-23 09:43:07,461][12208] Decorrelating experience for 32 frames... | |
| [2023-02-23 09:43:07,517][12203] Decorrelating experience for 64 frames... | |
| [2023-02-23 09:43:07,771][12202] Decorrelating experience for 32 frames... | |
| [2023-02-23 09:43:07,890][12204] Decorrelating experience for 64 frames... | |
| [2023-02-23 09:43:08,094][12205] Decorrelating experience for 96 frames... | |
| [2023-02-23 09:43:08,226][12201] Decorrelating experience for 64 frames... | |
| [2023-02-23 09:43:08,279][12203] Decorrelating experience for 96 frames... | |
| [2023-02-23 09:43:08,298][12202] Decorrelating experience for 64 frames... | |
| [2023-02-23 09:43:08,300][12208] Decorrelating experience for 64 frames... | |
| [2023-02-23 09:43:08,542][12201] Decorrelating experience for 96 frames... | |
| [2023-02-23 09:43:08,597][12196] Decorrelating experience for 96 frames... | |
| [2023-02-23 09:43:08,679][12204] Decorrelating experience for 96 frames... | |
| [2023-02-23 09:43:08,775][12202] Decorrelating experience for 96 frames... | |
| [2023-02-23 09:43:08,813][12208] Decorrelating experience for 96 frames... | |
| [2023-02-23 09:43:09,087][11985] Heartbeat connected on Batcher_0 | |
| [2023-02-23 09:43:09,092][11985] Heartbeat connected on LearnerWorker_p0 | |
| [2023-02-23 09:43:09,116][11985] Heartbeat connected on RolloutWorker_w0 | |
| [2023-02-23 09:43:09,121][11985] Heartbeat connected on RolloutWorker_w1 | |
| [2023-02-23 09:43:09,127][11985] Heartbeat connected on RolloutWorker_w2 | |
| [2023-02-23 09:43:09,131][11985] Heartbeat connected on RolloutWorker_w3 | |
| [2023-02-23 09:43:09,136][11985] Heartbeat connected on RolloutWorker_w4 | |
| [2023-02-23 09:43:09,140][11985] Heartbeat connected on RolloutWorker_w5 | |
| [2023-02-23 09:43:09,145][11985] Heartbeat connected on RolloutWorker_w6 | |
| [2023-02-23 09:43:09,149][11985] Heartbeat connected on RolloutWorker_w7 | |
| [2023-02-23 09:43:09,449][11985] 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) | |
| [2023-02-23 09:43:11,163][11985] Heartbeat connected on InferenceWorker_p0-w0 | |
| [2023-02-23 09:43:12,330][12181] Signal inference workers to stop experience collection... | |
| [2023-02-23 09:43:12,338][12195] InferenceWorker_p0-w0: stopping experience collection | |
| [2023-02-23 09:43:14,449][11985] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 236.0. Samples: 2360. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0) | |
| [2023-02-23 09:43:14,451][11985] Avg episode reward: [(0, '2.158')] | |
| [2023-02-23 09:43:15,043][12181] Signal inference workers to resume experience collection... | |
| [2023-02-23 09:43:15,044][12195] InferenceWorker_p0-w0: resuming experience collection | |
| [2023-02-23 09:43:19,449][11985] Fps is (10 sec: 3276.7, 60 sec: 2184.5, 300 sec: 2184.5). Total num frames: 32768. Throughput: 0: 355.5. Samples: 5332. Policy #0 lag: (min: 0.0, avg: 0.2, max: 1.0) | |
| [2023-02-23 09:43:19,455][11985] Avg episode reward: [(0, '3.785')] | |
| [2023-02-23 09:43:20,203][12195] Updated weights for policy 0, policy_version 10 (0.0018) | |
| [2023-02-23 09:43:24,449][11985] Fps is (10 sec: 7782.3, 60 sec: 3891.2, 300 sec: 3891.2). Total num frames: 77824. Throughput: 0: 897.3. Samples: 17946. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:43:24,452][11985] Avg episode reward: [(0, '4.565')] | |
| [2023-02-23 09:43:24,722][12195] Updated weights for policy 0, policy_version 20 (0.0018) | |
| [2023-02-23 09:43:28,925][12195] Updated weights for policy 0, policy_version 30 (0.0015) | |
| [2023-02-23 09:43:29,449][11985] Fps is (10 sec: 9420.9, 60 sec: 5079.0, 300 sec: 5079.0). Total num frames: 126976. Throughput: 0: 1288.5. Samples: 32212. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2023-02-23 09:43:29,455][11985] Avg episode reward: [(0, '4.511')] | |
| [2023-02-23 09:43:29,458][12181] Saving new best policy, reward=4.511! | |
| [2023-02-23 09:43:34,348][12195] Updated weights for policy 0, policy_version 40 (0.0021) | |
| [2023-02-23 09:43:34,449][11985] Fps is (10 sec: 8601.6, 60 sec: 5461.3, 300 sec: 5461.3). Total num frames: 163840. Throughput: 0: 1276.1. Samples: 38282. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) | |
| [2023-02-23 09:43:34,452][11985] Avg episode reward: [(0, '4.379')] | |
| [2023-02-23 09:43:39,449][11985] Fps is (10 sec: 6963.2, 60 sec: 5617.4, 300 sec: 5617.4). Total num frames: 196608. Throughput: 0: 1386.5. Samples: 48528. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-02-23 09:43:39,453][11985] Avg episode reward: [(0, '4.551')] | |
| [2023-02-23 09:43:39,528][12181] Saving new best policy, reward=4.551! | |
| [2023-02-23 09:43:40,012][12195] Updated weights for policy 0, policy_version 50 (0.0012) | |
| [2023-02-23 09:43:44,449][11985] Fps is (10 sec: 7782.4, 60 sec: 6041.6, 300 sec: 6041.6). Total num frames: 241664. Throughput: 0: 1543.3. Samples: 61734. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:43:44,451][11985] Avg episode reward: [(0, '4.583')] | |
| [2023-02-23 09:43:44,459][12181] Saving new best policy, reward=4.583! | |
| [2023-02-23 09:43:44,641][12195] Updated weights for policy 0, policy_version 60 (0.0016) | |
| [2023-02-23 09:43:48,917][12195] Updated weights for policy 0, policy_version 70 (0.0015) | |
| [2023-02-23 09:43:49,449][11985] Fps is (10 sec: 9420.6, 60 sec: 6462.5, 300 sec: 6462.5). Total num frames: 290816. Throughput: 0: 1525.8. Samples: 68662. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-02-23 09:43:49,452][11985] Avg episode reward: [(0, '4.312')] | |
| [2023-02-23 09:43:54,449][11985] Fps is (10 sec: 8191.9, 60 sec: 6471.7, 300 sec: 6471.7). Total num frames: 323584. Throughput: 0: 1787.5. Samples: 80440. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:43:54,452][11985] Avg episode reward: [(0, '4.541')] | |
| [2023-02-23 09:43:54,599][12195] Updated weights for policy 0, policy_version 80 (0.0012) | |
| [2023-02-23 09:43:59,449][11985] Fps is (10 sec: 7372.8, 60 sec: 6628.1, 300 sec: 6628.1). Total num frames: 364544. Throughput: 0: 2003.7. Samples: 92528. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2023-02-23 09:43:59,451][11985] Avg episode reward: [(0, '4.515')] | |
| [2023-02-23 09:43:59,496][12195] Updated weights for policy 0, policy_version 90 (0.0017) | |
| [2023-02-23 09:44:03,900][12195] Updated weights for policy 0, policy_version 100 (0.0018) | |
| [2023-02-23 09:44:04,449][11985] Fps is (10 sec: 9011.3, 60 sec: 6894.9, 300 sec: 6894.9). Total num frames: 413696. Throughput: 0: 2092.9. Samples: 99514. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2023-02-23 09:44:04,452][11985] Avg episode reward: [(0, '4.543')] | |
| [2023-02-23 09:44:08,509][12195] Updated weights for policy 0, policy_version 110 (0.0023) | |
| [2023-02-23 09:44:09,449][11985] Fps is (10 sec: 9011.3, 60 sec: 7577.6, 300 sec: 6994.7). Total num frames: 454656. Throughput: 0: 2114.2. Samples: 113084. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2023-02-23 09:44:09,452][11985] Avg episode reward: [(0, '4.431')] | |
| [2023-02-23 09:44:14,269][12195] Updated weights for policy 0, policy_version 120 (0.0013) | |
| [2023-02-23 09:44:14,449][11985] Fps is (10 sec: 7782.4, 60 sec: 8192.0, 300 sec: 7021.7). Total num frames: 491520. Throughput: 0: 2036.9. Samples: 123874. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:44:14,454][11985] Avg episode reward: [(0, '4.407')] | |
| [2023-02-23 09:44:18,726][12195] Updated weights for policy 0, policy_version 130 (0.0017) | |
| [2023-02-23 09:44:19,449][11985] Fps is (10 sec: 8192.1, 60 sec: 8396.8, 300 sec: 7154.3). Total num frames: 536576. Throughput: 0: 2050.7. Samples: 130564. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:44:19,452][11985] Avg episode reward: [(0, '4.499')] | |
| [2023-02-23 09:44:23,056][12195] Updated weights for policy 0, policy_version 140 (0.0022) | |
| [2023-02-23 09:44:24,449][11985] Fps is (10 sec: 9011.2, 60 sec: 8396.8, 300 sec: 7270.4). Total num frames: 581632. Throughput: 0: 2137.7. Samples: 144726. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:44:24,451][11985] Avg episode reward: [(0, '4.272')] | |
| [2023-02-23 09:44:28,236][12195] Updated weights for policy 0, policy_version 150 (0.0018) | |
| [2023-02-23 09:44:29,449][11985] Fps is (10 sec: 8192.0, 60 sec: 8192.0, 300 sec: 7276.4). Total num frames: 618496. Throughput: 0: 2098.8. Samples: 156180. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-02-23 09:44:29,454][11985] Avg episode reward: [(0, '4.315')] | |
| [2023-02-23 09:44:33,827][12195] Updated weights for policy 0, policy_version 160 (0.0014) | |
| [2023-02-23 09:44:34,449][11985] Fps is (10 sec: 7782.4, 60 sec: 8260.3, 300 sec: 7327.3). Total num frames: 659456. Throughput: 0: 2062.5. Samples: 161476. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:44:34,452][11985] Avg episode reward: [(0, '4.735')] | |
| [2023-02-23 09:44:34,458][12181] Saving new best policy, reward=4.735! | |
| [2023-02-23 09:44:38,376][12195] Updated weights for policy 0, policy_version 170 (0.0022) | |
| [2023-02-23 09:44:39,449][11985] Fps is (10 sec: 8601.6, 60 sec: 8465.1, 300 sec: 7415.9). Total num frames: 704512. Throughput: 0: 2095.2. Samples: 174722. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:44:39,452][11985] Avg episode reward: [(0, '4.493')] | |
| [2023-02-23 09:44:42,750][12195] Updated weights for policy 0, policy_version 180 (0.0014) | |
| [2023-02-23 09:44:44,449][11985] Fps is (10 sec: 9011.2, 60 sec: 8465.1, 300 sec: 7495.7). Total num frames: 749568. Throughput: 0: 2125.3. Samples: 188168. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:44:44,451][11985] Avg episode reward: [(0, '4.674')] | |
| [2023-02-23 09:44:44,465][12181] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000183_749568.pth... | |
| [2023-02-23 09:44:48,389][12195] Updated weights for policy 0, policy_version 190 (0.0019) | |
| [2023-02-23 09:44:49,449][11985] Fps is (10 sec: 7782.4, 60 sec: 8192.0, 300 sec: 7450.8). Total num frames: 782336. Throughput: 0: 2086.6. Samples: 193412. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-02-23 09:44:49,454][11985] Avg episode reward: [(0, '4.532')] | |
| [2023-02-23 09:44:53,385][12195] Updated weights for policy 0, policy_version 200 (0.0019) | |
| [2023-02-23 09:44:54,449][11985] Fps is (10 sec: 7782.4, 60 sec: 8396.8, 300 sec: 7521.7). Total num frames: 827392. Throughput: 0: 2052.5. Samples: 205446. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:44:54,458][11985] Avg episode reward: [(0, '4.616')] | |
| [2023-02-23 09:44:57,684][12195] Updated weights for policy 0, policy_version 210 (0.0021) | |
| [2023-02-23 09:44:59,449][11985] Fps is (10 sec: 9420.7, 60 sec: 8533.3, 300 sec: 7622.1). Total num frames: 876544. Throughput: 0: 2129.0. Samples: 219680. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:44:59,452][11985] Avg episode reward: [(0, '4.569')] | |
| [2023-02-23 09:45:02,307][12195] Updated weights for policy 0, policy_version 220 (0.0019) | |
| [2023-02-23 09:45:04,449][11985] Fps is (10 sec: 8601.3, 60 sec: 8328.5, 300 sec: 7611.7). Total num frames: 913408. Throughput: 0: 2120.4. Samples: 225982. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2023-02-23 09:45:04,451][11985] Avg episode reward: [(0, '4.635')] | |
| [2023-02-23 09:45:08,111][12195] Updated weights for policy 0, policy_version 230 (0.0012) | |
| [2023-02-23 09:45:09,449][11985] Fps is (10 sec: 7372.8, 60 sec: 8260.3, 300 sec: 7602.2). Total num frames: 950272. Throughput: 0: 2042.0. Samples: 236614. Policy #0 lag: (min: 0.0, avg: 0.4, max: 1.0) | |
| [2023-02-23 09:45:09,452][11985] Avg episode reward: [(0, '4.648')] | |
| [2023-02-23 09:45:12,795][12195] Updated weights for policy 0, policy_version 240 (0.0016) | |
| [2023-02-23 09:45:14,449][11985] Fps is (10 sec: 8192.3, 60 sec: 8396.8, 300 sec: 7656.4). Total num frames: 995328. Throughput: 0: 2088.3. Samples: 250152. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:45:14,451][11985] Avg episode reward: [(0, '4.570')] | |
| [2023-02-23 09:45:17,063][12195] Updated weights for policy 0, policy_version 250 (0.0011) | |
| [2023-02-23 09:45:19,449][11985] Fps is (10 sec: 9420.9, 60 sec: 8465.1, 300 sec: 7736.9). Total num frames: 1044480. Throughput: 0: 2127.3. Samples: 257206. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:45:19,452][11985] Avg episode reward: [(0, '4.853')] | |
| [2023-02-23 09:45:19,461][12181] Saving new best policy, reward=4.853! | |
| [2023-02-23 09:45:22,106][12195] Updated weights for policy 0, policy_version 260 (0.0015) | |
| [2023-02-23 09:45:24,449][11985] Fps is (10 sec: 8601.6, 60 sec: 8328.5, 300 sec: 7723.9). Total num frames: 1081344. Throughput: 0: 2095.6. Samples: 269026. Policy #0 lag: (min: 0.0, avg: 0.4, max: 2.0) | |
| [2023-02-23 09:45:24,452][11985] Avg episode reward: [(0, '4.798')] | |
| [2023-02-23 09:45:27,692][12195] Updated weights for policy 0, policy_version 270 (0.0017) | |
| [2023-02-23 09:45:29,449][11985] Fps is (10 sec: 7782.4, 60 sec: 8396.8, 300 sec: 7740.0). Total num frames: 1122304. Throughput: 0: 2066.0. Samples: 281136. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:45:29,454][11985] Avg episode reward: [(0, '5.125')] | |
| [2023-02-23 09:45:29,458][12181] Saving new best policy, reward=5.125! | |
| [2023-02-23 09:45:32,104][12195] Updated weights for policy 0, policy_version 280 (0.0017) | |
| [2023-02-23 09:45:34,449][11985] Fps is (10 sec: 8601.6, 60 sec: 8465.1, 300 sec: 7782.4). Total num frames: 1167360. Throughput: 0: 2105.3. Samples: 288152. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:45:34,452][11985] Avg episode reward: [(0, '5.136')] | |
| [2023-02-23 09:45:34,459][12181] Saving new best policy, reward=5.136! | |
| [2023-02-23 09:45:36,400][12195] Updated weights for policy 0, policy_version 290 (0.0014) | |
| [2023-02-23 09:45:39,449][11985] Fps is (10 sec: 8601.6, 60 sec: 8396.8, 300 sec: 7795.6). Total num frames: 1208320. Throughput: 0: 2136.4. Samples: 301582. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-02-23 09:45:39,457][11985] Avg episode reward: [(0, '5.722')] | |
| [2023-02-23 09:45:39,461][12181] Saving new best policy, reward=5.722! | |
| [2023-02-23 09:45:41,934][12195] Updated weights for policy 0, policy_version 300 (0.0013) | |
| [2023-02-23 09:45:44,449][11985] Fps is (10 sec: 7782.4, 60 sec: 8260.3, 300 sec: 7782.4). Total num frames: 1245184. Throughput: 0: 2055.5. Samples: 312178. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-02-23 09:45:44,451][11985] Avg episode reward: [(0, '5.316')] | |
| [2023-02-23 09:45:47,191][12195] Updated weights for policy 0, policy_version 310 (0.0016) | |
| [2023-02-23 09:45:49,449][11985] Fps is (10 sec: 8192.0, 60 sec: 8465.1, 300 sec: 7819.6). Total num frames: 1290240. Throughput: 0: 2060.9. Samples: 318724. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:45:49,452][11985] Avg episode reward: [(0, '5.515')] | |
| [2023-02-23 09:45:51,437][12195] Updated weights for policy 0, policy_version 320 (0.0021) | |
| [2023-02-23 09:45:54,449][11985] Fps is (10 sec: 9011.3, 60 sec: 8465.1, 300 sec: 7854.7). Total num frames: 1335296. Throughput: 0: 2139.2. Samples: 332878. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:45:54,451][11985] Avg episode reward: [(0, '5.299')] | |
| [2023-02-23 09:45:55,929][12195] Updated weights for policy 0, policy_version 330 (0.0016) | |
| [2023-02-23 09:45:59,449][11985] Fps is (10 sec: 8601.6, 60 sec: 8328.5, 300 sec: 7864.3). Total num frames: 1376256. Throughput: 0: 2103.2. Samples: 344796. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-02-23 09:45:59,452][11985] Avg episode reward: [(0, '5.580')] | |
| [2023-02-23 09:46:01,522][12195] Updated weights for policy 0, policy_version 340 (0.0014) | |
| [2023-02-23 09:46:04,449][11985] Fps is (10 sec: 7782.3, 60 sec: 8328.6, 300 sec: 7850.7). Total num frames: 1413120. Throughput: 0: 2068.1. Samples: 350270. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:46:04,452][11985] Avg episode reward: [(0, '5.824')] | |
| [2023-02-23 09:46:04,461][12181] Saving new best policy, reward=5.824! | |
| [2023-02-23 09:46:06,311][12195] Updated weights for policy 0, policy_version 350 (0.0015) | |
| [2023-02-23 09:46:09,449][11985] Fps is (10 sec: 8601.5, 60 sec: 8533.3, 300 sec: 7904.2). Total num frames: 1462272. Throughput: 0: 2112.4. Samples: 364084. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:46:09,452][11985] Avg episode reward: [(0, '5.443')] | |
| [2023-02-23 09:46:10,588][12195] Updated weights for policy 0, policy_version 360 (0.0012) | |
| [2023-02-23 09:46:14,449][11985] Fps is (10 sec: 9420.9, 60 sec: 8533.3, 300 sec: 7933.3). Total num frames: 1507328. Throughput: 0: 2148.3. Samples: 377810. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-02-23 09:46:14,455][11985] Avg episode reward: [(0, '5.873')] | |
| [2023-02-23 09:46:14,464][12181] Saving new best policy, reward=5.873! | |
| [2023-02-23 09:46:15,362][12195] Updated weights for policy 0, policy_version 370 (0.0012) | |
| [2023-02-23 09:46:19,450][11985] Fps is (10 sec: 8191.6, 60 sec: 8328.4, 300 sec: 7918.9). Total num frames: 1544192. Throughput: 0: 2109.6. Samples: 383086. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:46:19,453][11985] Avg episode reward: [(0, '5.740')] | |
| [2023-02-23 09:46:20,916][12195] Updated weights for policy 0, policy_version 380 (0.0014) | |
| [2023-02-23 09:46:24,449][11985] Fps is (10 sec: 8191.8, 60 sec: 8465.0, 300 sec: 7946.2). Total num frames: 1589248. Throughput: 0: 2087.3. Samples: 395510. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-02-23 09:46:24,451][11985] Avg episode reward: [(0, '6.755')] | |
| [2023-02-23 09:46:24,466][12181] Saving new best policy, reward=6.755! | |
| [2023-02-23 09:46:25,310][12195] Updated weights for policy 0, policy_version 390 (0.0013) | |
| [2023-02-23 09:46:29,449][11985] Fps is (10 sec: 9011.8, 60 sec: 8533.3, 300 sec: 7972.2). Total num frames: 1634304. Throughput: 0: 2166.4. Samples: 409666. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:46:29,451][11985] Avg episode reward: [(0, '7.916')] | |
| [2023-02-23 09:46:29,462][12181] Saving new best policy, reward=7.916! | |
| [2023-02-23 09:46:29,693][12195] Updated weights for policy 0, policy_version 400 (0.0020) | |
| [2023-02-23 09:46:34,449][11985] Fps is (10 sec: 8601.7, 60 sec: 8465.1, 300 sec: 7977.4). Total num frames: 1675264. Throughput: 0: 2166.8. Samples: 416232. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2023-02-23 09:46:34,452][11985] Avg episode reward: [(0, '7.913')] | |
| [2023-02-23 09:46:34,768][12195] Updated weights for policy 0, policy_version 410 (0.0012) | |
| [2023-02-23 09:46:39,449][11985] Fps is (10 sec: 7782.4, 60 sec: 8396.8, 300 sec: 7963.4). Total num frames: 1712128. Throughput: 0: 2091.8. Samples: 427008. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:46:39,452][11985] Avg episode reward: [(0, '7.571')] | |
| [2023-02-23 09:46:40,104][12195] Updated weights for policy 0, policy_version 420 (0.0021) | |
| [2023-02-23 09:46:44,449][11985] Fps is (10 sec: 8192.0, 60 sec: 8533.3, 300 sec: 7987.2). Total num frames: 1757184. Throughput: 0: 2131.4. Samples: 440708. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:46:44,452][11985] Avg episode reward: [(0, '9.034')] | |
| [2023-02-23 09:46:44,503][12181] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000430_1761280.pth... | |
| [2023-02-23 09:46:44,510][12195] Updated weights for policy 0, policy_version 430 (0.0012) | |
| [2023-02-23 09:46:44,605][12181] Saving new best policy, reward=9.034! | |
| [2023-02-23 09:46:48,871][12195] Updated weights for policy 0, policy_version 440 (0.0019) | |
| [2023-02-23 09:46:49,449][11985] Fps is (10 sec: 9420.8, 60 sec: 8601.6, 300 sec: 8028.2). Total num frames: 1806336. Throughput: 0: 2165.1. Samples: 447698. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:46:49,452][11985] Avg episode reward: [(0, '9.109')] | |
| [2023-02-23 09:46:49,455][12181] Saving new best policy, reward=9.109! | |
| [2023-02-23 09:46:54,449][11985] Fps is (10 sec: 8192.1, 60 sec: 8396.8, 300 sec: 7996.1). Total num frames: 1839104. Throughput: 0: 2118.8. Samples: 459430. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:46:54,452][11985] Avg episode reward: [(0, '9.757')] | |
| [2023-02-23 09:46:54,465][12181] Saving new best policy, reward=9.757! | |
| [2023-02-23 09:46:54,465][12195] Updated weights for policy 0, policy_version 450 (0.0018) | |
| [2023-02-23 09:46:59,411][12195] Updated weights for policy 0, policy_version 460 (0.0016) | |
| [2023-02-23 09:46:59,449][11985] Fps is (10 sec: 7782.4, 60 sec: 8465.1, 300 sec: 8017.7). Total num frames: 1884160. Throughput: 0: 2085.8. Samples: 471672. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:46:59,451][11985] Avg episode reward: [(0, '11.222')] | |
| [2023-02-23 09:46:59,455][12181] Saving new best policy, reward=11.222! | |
| [2023-02-23 09:47:03,610][12195] Updated weights for policy 0, policy_version 470 (0.0015) | |
| [2023-02-23 09:47:04,449][11985] Fps is (10 sec: 9011.2, 60 sec: 8601.6, 300 sec: 8038.4). Total num frames: 1929216. Throughput: 0: 2128.4. Samples: 478862. Policy #0 lag: (min: 0.0, avg: 0.7, max: 1.0) | |
| [2023-02-23 09:47:04,451][11985] Avg episode reward: [(0, '10.488')] | |
| [2023-02-23 09:47:08,197][12195] Updated weights for policy 0, policy_version 480 (0.0020) | |
| [2023-02-23 09:47:09,449][11985] Fps is (10 sec: 9011.0, 60 sec: 8533.3, 300 sec: 8058.2). Total num frames: 1974272. Throughput: 0: 2154.6. Samples: 492468. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2023-02-23 09:47:09,452][11985] Avg episode reward: [(0, '11.818')] | |
| [2023-02-23 09:47:09,454][12181] Saving new best policy, reward=11.818! | |
| [2023-02-23 09:47:14,031][12195] Updated weights for policy 0, policy_version 490 (0.0016) | |
| [2023-02-23 09:47:14,450][11985] Fps is (10 sec: 7781.9, 60 sec: 8328.4, 300 sec: 8028.1). Total num frames: 2007040. Throughput: 0: 2077.1. Samples: 503138. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-02-23 09:47:14,455][11985] Avg episode reward: [(0, '12.534')] | |
| [2023-02-23 09:47:14,467][12181] Saving new best policy, reward=12.534! | |
| [2023-02-23 09:47:18,603][12195] Updated weights for policy 0, policy_version 500 (0.0012) | |
| [2023-02-23 09:47:19,449][11985] Fps is (10 sec: 8192.2, 60 sec: 8533.4, 300 sec: 8063.5). Total num frames: 2056192. Throughput: 0: 2078.4. Samples: 509760. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2023-02-23 09:47:19,451][11985] Avg episode reward: [(0, '13.720')] | |
| [2023-02-23 09:47:19,458][12181] Saving new best policy, reward=13.720! | |
| [2023-02-23 09:47:22,759][12195] Updated weights for policy 0, policy_version 510 (0.0016) | |
| [2023-02-23 09:47:24,449][11985] Fps is (10 sec: 9421.4, 60 sec: 8533.4, 300 sec: 8081.7). Total num frames: 2101248. Throughput: 0: 2161.0. Samples: 524252. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:47:24,451][11985] Avg episode reward: [(0, '16.638')] | |
| [2023-02-23 09:47:24,505][12181] Saving new best policy, reward=16.638! | |
| [2023-02-23 09:47:27,636][12195] Updated weights for policy 0, policy_version 520 (0.0014) | |
| [2023-02-23 09:47:29,449][11985] Fps is (10 sec: 8601.3, 60 sec: 8465.0, 300 sec: 8083.8). Total num frames: 2142208. Throughput: 0: 2120.6. Samples: 536134. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:47:29,452][11985] Avg episode reward: [(0, '17.176')] | |
| [2023-02-23 09:47:29,458][12181] Saving new best policy, reward=17.176! | |
| [2023-02-23 09:47:33,238][12195] Updated weights for policy 0, policy_version 530 (0.0015) | |
| [2023-02-23 09:47:34,449][11985] Fps is (10 sec: 7782.4, 60 sec: 8396.8, 300 sec: 8070.6). Total num frames: 2179072. Throughput: 0: 2087.7. Samples: 541644. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:47:34,451][11985] Avg episode reward: [(0, '16.530')] | |
| [2023-02-23 09:47:37,540][12195] Updated weights for policy 0, policy_version 540 (0.0013) | |
| [2023-02-23 09:47:39,449][11985] Fps is (10 sec: 8601.9, 60 sec: 8601.6, 300 sec: 8102.6). Total num frames: 2228224. Throughput: 0: 2133.3. Samples: 555430. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-02-23 09:47:39,452][11985] Avg episode reward: [(0, '17.124')] | |
| [2023-02-23 09:47:41,919][12195] Updated weights for policy 0, policy_version 550 (0.0025) | |
| [2023-02-23 09:47:44,449][11985] Fps is (10 sec: 9420.8, 60 sec: 8601.6, 300 sec: 8118.9). Total num frames: 2273280. Throughput: 0: 2160.5. Samples: 568896. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:47:44,455][11985] Avg episode reward: [(0, '20.636')] | |
| [2023-02-23 09:47:44,463][12181] Saving new best policy, reward=20.636! | |
| [2023-02-23 09:47:47,342][12195] Updated weights for policy 0, policy_version 560 (0.0019) | |
| [2023-02-23 09:47:49,453][11985] Fps is (10 sec: 7779.4, 60 sec: 8328.0, 300 sec: 8091.3). Total num frames: 2306048. Throughput: 0: 2115.3. Samples: 574058. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:47:49,455][11985] Avg episode reward: [(0, '21.991')] | |
| [2023-02-23 09:47:49,461][12181] Saving new best policy, reward=21.991! | |
| [2023-02-23 09:47:52,645][12195] Updated weights for policy 0, policy_version 570 (0.0026) | |
| [2023-02-23 09:47:54,449][11985] Fps is (10 sec: 7782.4, 60 sec: 8533.3, 300 sec: 8107.3). Total num frames: 2351104. Throughput: 0: 2082.1. Samples: 586162. Policy #0 lag: (min: 0.0, avg: 0.5, max: 1.0) | |
| [2023-02-23 09:47:54,454][11985] Avg episode reward: [(0, '21.684')] | |
| [2023-02-23 09:47:56,960][12195] Updated weights for policy 0, policy_version 580 (0.0022) | |
| [2023-02-23 09:47:59,449][11985] Fps is (10 sec: 9014.6, 60 sec: 8533.3, 300 sec: 8122.6). Total num frames: 2396160. Throughput: 0: 2161.1. Samples: 600384. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:47:59,451][11985] Avg episode reward: [(0, '20.133')] | |
| [2023-02-23 09:48:01,287][12195] Updated weights for policy 0, policy_version 590 (0.0027) | |
| [2023-02-23 09:48:04,457][11985] Fps is (10 sec: 8594.7, 60 sec: 8463.9, 300 sec: 8261.2). Total num frames: 2437120. Throughput: 0: 2155.1. Samples: 606756. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:48:04,460][11985] Avg episode reward: [(0, '19.120')] | |
| [2023-02-23 09:48:07,052][12195] Updated weights for policy 0, policy_version 600 (0.0012) | |
| [2023-02-23 09:48:09,449][11985] Fps is (10 sec: 7782.4, 60 sec: 8328.6, 300 sec: 8386.4). Total num frames: 2473984. Throughput: 0: 2070.9. Samples: 617442. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:48:09,452][11985] Avg episode reward: [(0, '19.500')] | |
| [2023-02-23 09:48:11,830][12195] Updated weights for policy 0, policy_version 610 (0.0010) | |
| [2023-02-23 09:48:14,449][11985] Fps is (10 sec: 8198.6, 60 sec: 8533.4, 300 sec: 8428.0). Total num frames: 2519040. Throughput: 0: 2114.1. Samples: 631268. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:48:14,453][11985] Avg episode reward: [(0, '19.848')] | |
| [2023-02-23 09:48:16,219][12195] Updated weights for policy 0, policy_version 620 (0.0012) | |
| [2023-02-23 09:48:19,449][11985] Fps is (10 sec: 9420.6, 60 sec: 8533.3, 300 sec: 8441.9). Total num frames: 2568192. Throughput: 0: 2149.9. Samples: 638392. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:48:19,454][11985] Avg episode reward: [(0, '20.705')] | |
| [2023-02-23 09:48:20,894][12195] Updated weights for policy 0, policy_version 630 (0.0014) | |
| [2023-02-23 09:48:24,449][11985] Fps is (10 sec: 8601.6, 60 sec: 8396.8, 300 sec: 8400.3). Total num frames: 2605056. Throughput: 0: 2103.4. Samples: 650084. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-02-23 09:48:24,452][11985] Avg episode reward: [(0, '19.771')] | |
| [2023-02-23 09:48:26,658][12195] Updated weights for policy 0, policy_version 640 (0.0015) | |
| [2023-02-23 09:48:29,449][11985] Fps is (10 sec: 7782.6, 60 sec: 8396.8, 300 sec: 8414.2). Total num frames: 2646016. Throughput: 0: 2072.8. Samples: 662174. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:48:29,454][11985] Avg episode reward: [(0, '20.309')] | |
| [2023-02-23 09:48:31,096][12195] Updated weights for policy 0, policy_version 650 (0.0019) | |
| [2023-02-23 09:48:34,449][11985] Fps is (10 sec: 8601.4, 60 sec: 8533.3, 300 sec: 8455.8). Total num frames: 2691072. Throughput: 0: 2115.9. Samples: 669266. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:48:34,452][11985] Avg episode reward: [(0, '20.493')] | |
| [2023-02-23 09:48:35,536][12195] Updated weights for policy 0, policy_version 660 (0.0024) | |
| [2023-02-23 09:48:39,449][11985] Fps is (10 sec: 8601.6, 60 sec: 8396.8, 300 sec: 8441.9). Total num frames: 2732032. Throughput: 0: 2142.2. Samples: 682562. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:48:39,452][11985] Avg episode reward: [(0, '20.372')] | |
| [2023-02-23 09:48:40,741][12195] Updated weights for policy 0, policy_version 670 (0.0013) | |
| [2023-02-23 09:48:44,449][11985] Fps is (10 sec: 7782.5, 60 sec: 8260.3, 300 sec: 8400.3). Total num frames: 2768896. Throughput: 0: 2059.5. Samples: 693062. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:48:44,452][11985] Avg episode reward: [(0, '20.828')] | |
| [2023-02-23 09:48:44,460][12181] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000676_2768896.pth... | |
| [2023-02-23 09:48:44,559][12181] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000183_749568.pth | |
| [2023-02-23 09:48:46,209][12195] Updated weights for policy 0, policy_version 680 (0.0014) | |
| [2023-02-23 09:48:49,449][11985] Fps is (10 sec: 8192.0, 60 sec: 8465.6, 300 sec: 8441.9). Total num frames: 2813952. Throughput: 0: 2065.5. Samples: 699688. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:48:49,453][11985] Avg episode reward: [(0, '21.928')] | |
| [2023-02-23 09:48:50,514][12195] Updated weights for policy 0, policy_version 690 (0.0021) | |
| [2023-02-23 09:48:54,449][11985] Fps is (10 sec: 9011.3, 60 sec: 8465.1, 300 sec: 8455.8). Total num frames: 2859008. Throughput: 0: 2143.3. Samples: 713892. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:48:54,452][11985] Avg episode reward: [(0, '23.629')] | |
| [2023-02-23 09:48:54,501][12181] Saving new best policy, reward=23.629! | |
| [2023-02-23 09:48:55,004][12195] Updated weights for policy 0, policy_version 700 (0.0017) | |
| [2023-02-23 09:48:59,449][11985] Fps is (10 sec: 8601.6, 60 sec: 8396.8, 300 sec: 8428.0). Total num frames: 2899968. Throughput: 0: 2095.2. Samples: 725554. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:48:59,452][11985] Avg episode reward: [(0, '23.590')] | |
| [2023-02-23 09:49:00,519][12195] Updated weights for policy 0, policy_version 710 (0.0021) | |
| [2023-02-23 09:49:04,449][11985] Fps is (10 sec: 8192.0, 60 sec: 8397.9, 300 sec: 8428.0). Total num frames: 2940928. Throughput: 0: 2061.2. Samples: 731146. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:49:04,451][11985] Avg episode reward: [(0, '22.421')] | |
| [2023-02-23 09:49:05,289][12195] Updated weights for policy 0, policy_version 720 (0.0013) | |
| [2023-02-23 09:49:09,449][11985] Fps is (10 sec: 8601.6, 60 sec: 8533.3, 300 sec: 8455.8). Total num frames: 2985984. Throughput: 0: 2117.2. Samples: 745360. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:49:09,452][11985] Avg episode reward: [(0, '22.684')] | |
| [2023-02-23 09:49:09,634][12195] Updated weights for policy 0, policy_version 730 (0.0012) | |
| [2023-02-23 09:49:14,394][12195] Updated weights for policy 0, policy_version 740 (0.0015) | |
| [2023-02-23 09:49:14,453][11985] Fps is (10 sec: 9007.6, 60 sec: 8532.8, 300 sec: 8455.7). Total num frames: 3031040. Throughput: 0: 2134.4. Samples: 758232. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:49:14,458][11985] Avg episode reward: [(0, '22.940')] | |
| [2023-02-23 09:49:19,449][11985] Fps is (10 sec: 7782.3, 60 sec: 8260.3, 300 sec: 8414.2). Total num frames: 3063808. Throughput: 0: 2094.2. Samples: 763504. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:49:19,452][11985] Avg episode reward: [(0, '25.597')] | |
| [2023-02-23 09:49:19,454][12181] Saving new best policy, reward=25.597! | |
| [2023-02-23 09:49:20,260][12195] Updated weights for policy 0, policy_version 750 (0.0014) | |
| [2023-02-23 09:49:24,449][11985] Fps is (10 sec: 7785.4, 60 sec: 8396.8, 300 sec: 8441.9). Total num frames: 3108864. Throughput: 0: 2071.9. Samples: 775796. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:49:24,455][11985] Avg episode reward: [(0, '25.070')] | |
| [2023-02-23 09:49:24,654][12195] Updated weights for policy 0, policy_version 760 (0.0024) | |
| [2023-02-23 09:49:29,028][12195] Updated weights for policy 0, policy_version 770 (0.0019) | |
| [2023-02-23 09:49:29,449][11985] Fps is (10 sec: 9420.9, 60 sec: 8533.3, 300 sec: 8469.7). Total num frames: 3158016. Throughput: 0: 2154.8. Samples: 790028. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-02-23 09:49:29,455][11985] Avg episode reward: [(0, '22.735')] | |
| [2023-02-23 09:49:34,129][12195] Updated weights for policy 0, policy_version 780 (0.0014) | |
| [2023-02-23 09:49:34,449][11985] Fps is (10 sec: 8601.7, 60 sec: 8396.8, 300 sec: 8441.9). Total num frames: 3194880. Throughput: 0: 2147.2. Samples: 796314. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:49:34,451][11985] Avg episode reward: [(0, '23.693')] | |
| [2023-02-23 09:49:39,449][11985] Fps is (10 sec: 7372.8, 60 sec: 8328.5, 300 sec: 8414.2). Total num frames: 3231744. Throughput: 0: 2070.2. Samples: 807052. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:49:39,451][11985] Avg episode reward: [(0, '25.573')] | |
| [2023-02-23 09:49:39,571][12195] Updated weights for policy 0, policy_version 790 (0.0018) | |
| [2023-02-23 09:49:43,817][12195] Updated weights for policy 0, policy_version 800 (0.0016) | |
| [2023-02-23 09:49:44,449][11985] Fps is (10 sec: 8601.5, 60 sec: 8533.3, 300 sec: 8469.7). Total num frames: 3280896. Throughput: 0: 2123.3. Samples: 821104. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:49:44,458][11985] Avg episode reward: [(0, '25.345')] | |
| [2023-02-23 09:49:48,188][12195] Updated weights for policy 0, policy_version 810 (0.0017) | |
| [2023-02-23 09:49:49,449][11985] Fps is (10 sec: 9420.8, 60 sec: 8533.3, 300 sec: 8469.7). Total num frames: 3325952. Throughput: 0: 2156.2. Samples: 828176. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:49:49,453][11985] Avg episode reward: [(0, '26.339')] | |
| [2023-02-23 09:49:49,463][12181] Saving new best policy, reward=26.339! | |
| [2023-02-23 09:49:53,630][12195] Updated weights for policy 0, policy_version 820 (0.0018) | |
| [2023-02-23 09:49:54,449][11985] Fps is (10 sec: 8192.1, 60 sec: 8396.8, 300 sec: 8428.0). Total num frames: 3362816. Throughput: 0: 2101.7. Samples: 839938. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:49:54,452][11985] Avg episode reward: [(0, '28.001')] | |
| [2023-02-23 09:49:54,466][12181] Saving new best policy, reward=28.001! | |
| [2023-02-23 09:49:58,602][12195] Updated weights for policy 0, policy_version 830 (0.0017) | |
| [2023-02-23 09:49:59,449][11985] Fps is (10 sec: 8192.0, 60 sec: 8465.1, 300 sec: 8455.8). Total num frames: 3407872. Throughput: 0: 2094.3. Samples: 852468. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:49:59,452][11985] Avg episode reward: [(0, '28.260')] | |
| [2023-02-23 09:49:59,454][12181] Saving new best policy, reward=28.260! | |
| [2023-02-23 09:50:02,897][12195] Updated weights for policy 0, policy_version 840 (0.0012) | |
| [2023-02-23 09:50:04,449][11985] Fps is (10 sec: 9011.1, 60 sec: 8533.3, 300 sec: 8483.6). Total num frames: 3452928. Throughput: 0: 2135.8. Samples: 859614. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2023-02-23 09:50:04,452][11985] Avg episode reward: [(0, '29.378')] | |
| [2023-02-23 09:50:04,461][12181] Saving new best policy, reward=29.378! | |
| [2023-02-23 09:50:07,221][12195] Updated weights for policy 0, policy_version 850 (0.0020) | |
| [2023-02-23 09:50:09,449][11985] Fps is (10 sec: 8601.6, 60 sec: 8465.1, 300 sec: 8469.7). Total num frames: 3493888. Throughput: 0: 2160.4. Samples: 873012. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:50:09,452][11985] Avg episode reward: [(0, '28.820')] | |
| [2023-02-23 09:50:12,931][12195] Updated weights for policy 0, policy_version 860 (0.0025) | |
| [2023-02-23 09:50:14,449][11985] Fps is (10 sec: 7782.5, 60 sec: 8329.1, 300 sec: 8428.0). Total num frames: 3530752. Throughput: 0: 2090.0. Samples: 884080. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:50:14,454][11985] Avg episode reward: [(0, '25.738')] | |
| [2023-02-23 09:50:17,653][12195] Updated weights for policy 0, policy_version 870 (0.0017) | |
| [2023-02-23 09:50:19,449][11985] Fps is (10 sec: 8601.4, 60 sec: 8601.6, 300 sec: 8469.7). Total num frames: 3579904. Throughput: 0: 2100.9. Samples: 890856. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:50:19,452][11985] Avg episode reward: [(0, '24.015')] | |
| [2023-02-23 09:50:21,905][12195] Updated weights for policy 0, policy_version 880 (0.0024) | |
| [2023-02-23 09:50:24,449][11985] Fps is (10 sec: 9830.2, 60 sec: 8669.9, 300 sec: 8497.5). Total num frames: 3629056. Throughput: 0: 2189.2. Samples: 905566. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:50:24,452][11985] Avg episode reward: [(0, '25.122')] | |
| [2023-02-23 09:50:26,457][12195] Updated weights for policy 0, policy_version 890 (0.0012) | |
| [2023-02-23 09:50:29,455][11985] Fps is (10 sec: 8596.4, 60 sec: 8464.2, 300 sec: 8469.5). Total num frames: 3665920. Throughput: 0: 2133.0. Samples: 917104. Policy #0 lag: (min: 0.0, avg: 0.5, max: 2.0) | |
| [2023-02-23 09:50:29,461][11985] Avg episode reward: [(0, '24.957')] | |
| [2023-02-23 09:50:32,106][12195] Updated weights for policy 0, policy_version 900 (0.0024) | |
| [2023-02-23 09:50:34,449][11985] Fps is (10 sec: 7782.3, 60 sec: 8533.3, 300 sec: 8469.7). Total num frames: 3706880. Throughput: 0: 2102.6. Samples: 922792. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:50:34,452][11985] Avg episode reward: [(0, '25.811')] | |
| [2023-02-23 09:50:36,509][12195] Updated weights for policy 0, policy_version 910 (0.0019) | |
| [2023-02-23 09:50:39,449][11985] Fps is (10 sec: 8607.0, 60 sec: 8669.9, 300 sec: 8497.5). Total num frames: 3751936. Throughput: 0: 2155.0. Samples: 936912. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:50:39,452][11985] Avg episode reward: [(0, '25.578')] | |
| [2023-02-23 09:50:40,826][12195] Updated weights for policy 0, policy_version 920 (0.0011) | |
| [2023-02-23 09:50:44,449][11985] Fps is (10 sec: 9011.4, 60 sec: 8601.6, 300 sec: 8497.5). Total num frames: 3796992. Throughput: 0: 2170.7. Samples: 950150. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:50:44,452][11985] Avg episode reward: [(0, '24.904')] | |
| [2023-02-23 09:50:44,462][12181] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000927_3796992.pth... | |
| [2023-02-23 09:50:44,563][12181] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000430_1761280.pth | |
| [2023-02-23 09:50:46,062][12195] Updated weights for policy 0, policy_version 930 (0.0011) | |
| [2023-02-23 09:50:49,449][11985] Fps is (10 sec: 7782.4, 60 sec: 8396.8, 300 sec: 8455.8). Total num frames: 3829760. Throughput: 0: 2123.5. Samples: 955170. Policy #0 lag: (min: 0.0, avg: 0.6, max: 1.0) | |
| [2023-02-23 09:50:49,452][11985] Avg episode reward: [(0, '25.615')] | |
| [2023-02-23 09:50:51,603][12195] Updated weights for policy 0, policy_version 940 (0.0015) | |
| [2023-02-23 09:50:54,449][11985] Fps is (10 sec: 7782.3, 60 sec: 8533.3, 300 sec: 8469.7). Total num frames: 3874816. Throughput: 0: 2094.1. Samples: 967248. Policy #0 lag: (min: 0.0, avg: 0.7, max: 2.0) | |
| [2023-02-23 09:50:54,451][11985] Avg episode reward: [(0, '27.631')] | |
| [2023-02-23 09:50:55,995][12195] Updated weights for policy 0, policy_version 950 (0.0022) | |
| [2023-02-23 09:50:59,449][11985] Fps is (10 sec: 9011.2, 60 sec: 8533.3, 300 sec: 8497.5). Total num frames: 3919872. Throughput: 0: 2166.4. Samples: 981568. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:50:59,451][11985] Avg episode reward: [(0, '28.712')] | |
| [2023-02-23 09:51:00,319][12195] Updated weights for policy 0, policy_version 960 (0.0012) | |
| [2023-02-23 09:51:04,451][11985] Fps is (10 sec: 8599.8, 60 sec: 8464.8, 300 sec: 8469.6). Total num frames: 3960832. Throughput: 0: 2158.0. Samples: 987970. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:51:04,453][11985] Avg episode reward: [(0, '28.934')] | |
| [2023-02-23 09:51:05,559][12195] Updated weights for policy 0, policy_version 970 (0.0016) | |
| [2023-02-23 09:51:09,449][11985] Fps is (10 sec: 8191.9, 60 sec: 8465.1, 300 sec: 8455.8). Total num frames: 4001792. Throughput: 0: 2082.8. Samples: 999292. Policy #0 lag: (min: 0.0, avg: 0.6, max: 2.0) | |
| [2023-02-23 09:51:09,452][11985] Avg episode reward: [(0, '27.953')] | |
| [2023-02-23 09:51:09,666][12181] Stopping Batcher_0... | |
| [2023-02-23 09:51:09,667][12181] Loop batcher_evt_loop terminating... | |
| [2023-02-23 09:51:09,673][11985] Component Batcher_0 stopped! | |
| [2023-02-23 09:51:09,678][12181] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000978_4005888.pth... | |
| [2023-02-23 09:51:09,686][11985] Component RolloutWorker_w1 stopped! | |
| [2023-02-23 09:51:09,688][11985] Component RolloutWorker_w3 stopped! | |
| [2023-02-23 09:51:09,686][12203] Stopping RolloutWorker_w3... | |
| [2023-02-23 09:51:09,690][11985] Component RolloutWorker_w7 stopped! | |
| [2023-02-23 09:51:09,692][12203] Loop rollout_proc3_evt_loop terminating... | |
| [2023-02-23 09:51:09,693][12201] Stopping RolloutWorker_w1... | |
| [2023-02-23 09:51:09,697][12201] Loop rollout_proc1_evt_loop terminating... | |
| [2023-02-23 09:51:09,687][12208] Stopping RolloutWorker_w7... | |
| [2023-02-23 09:51:09,699][12208] Loop rollout_proc7_evt_loop terminating... | |
| [2023-02-23 09:51:09,702][11985] Component RolloutWorker_w5 stopped! | |
| [2023-02-23 09:51:09,708][12204] Stopping RolloutWorker_w4... | |
| [2023-02-23 09:51:09,710][12204] Loop rollout_proc4_evt_loop terminating... | |
| [2023-02-23 09:51:09,711][12195] Weights refcount: 2 0 | |
| [2023-02-23 09:51:09,708][11985] Component RolloutWorker_w4 stopped! | |
| [2023-02-23 09:51:09,705][12205] Stopping RolloutWorker_w5... | |
| [2023-02-23 09:51:09,714][12205] Loop rollout_proc5_evt_loop terminating... | |
| [2023-02-23 09:51:09,715][12196] Stopping RolloutWorker_w0... | |
| [2023-02-23 09:51:09,716][12196] Loop rollout_proc0_evt_loop terminating... | |
| [2023-02-23 09:51:09,715][12195] Stopping InferenceWorker_p0-w0... | |
| [2023-02-23 09:51:09,715][11985] Component RolloutWorker_w0 stopped! | |
| [2023-02-23 09:51:09,717][12195] Loop inference_proc0-0_evt_loop terminating... | |
| [2023-02-23 09:51:09,717][11985] Component InferenceWorker_p0-w0 stopped! | |
| [2023-02-23 09:51:09,728][12206] Stopping RolloutWorker_w6... | |
| [2023-02-23 09:51:09,729][12206] Loop rollout_proc6_evt_loop terminating... | |
| [2023-02-23 09:51:09,728][11985] Component RolloutWorker_w6 stopped! | |
| [2023-02-23 09:51:09,741][12202] Stopping RolloutWorker_w2... | |
| [2023-02-23 09:51:09,741][12202] Loop rollout_proc2_evt_loop terminating... | |
| [2023-02-23 09:51:09,741][11985] Component RolloutWorker_w2 stopped! | |
| [2023-02-23 09:51:09,781][12181] Removing /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000676_2768896.pth | |
| [2023-02-23 09:51:09,788][12181] Saving /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000978_4005888.pth... | |
| [2023-02-23 09:51:09,905][12181] Stopping LearnerWorker_p0... | |
| [2023-02-23 09:51:09,905][11985] Component LearnerWorker_p0 stopped! | |
| [2023-02-23 09:51:09,907][12181] Loop learner_proc0_evt_loop terminating... | |
| [2023-02-23 09:51:09,911][11985] Waiting for process learner_proc0 to stop... | |
| [2023-02-23 09:51:11,333][11985] Waiting for process inference_proc0-0 to join... | |
| [2023-02-23 09:51:11,336][11985] Waiting for process rollout_proc0 to join... | |
| [2023-02-23 09:51:11,338][11985] Waiting for process rollout_proc1 to join... | |
| [2023-02-23 09:51:11,340][11985] Waiting for process rollout_proc2 to join... | |
| [2023-02-23 09:51:11,342][11985] Waiting for process rollout_proc3 to join... | |
| [2023-02-23 09:51:11,345][11985] Waiting for process rollout_proc4 to join... | |
| [2023-02-23 09:51:11,346][11985] Waiting for process rollout_proc5 to join... | |
| [2023-02-23 09:51:11,348][11985] Waiting for process rollout_proc6 to join... | |
| [2023-02-23 09:51:11,351][11985] Waiting for process rollout_proc7 to join... | |
| [2023-02-23 09:51:11,353][11985] Batcher 0 profile tree view: | |
| batching: 19.3320, releasing_batches: 0.0301 | |
| [2023-02-23 09:51:11,354][11985] InferenceWorker_p0-w0 profile tree view: | |
| wait_policy: 0.0001 | |
| wait_policy_total: 72.7663 | |
| update_model: 6.4008 | |
| weight_update: 0.0012 | |
| one_step: 0.0028 | |
| handle_policy_step: 376.2500 | |
| deserialize: 14.5737, stack: 2.6149, obs_to_device_normalize: 101.7087, forward: 165.2253, send_messages: 18.9011 | |
| prepare_outputs: 54.3567 | |
| to_cpu: 36.7975 | |
| [2023-02-23 09:51:11,356][11985] Learner 0 profile tree view: | |
| misc: 0.0058, prepare_batch: 13.4537 | |
| train: 60.3458 | |
| epoch_init: 0.0055, minibatch_init: 0.0060, losses_postprocess: 0.5459, kl_divergence: 0.4910, after_optimizer: 27.1247 | |
| calculate_losses: 20.4763 | |
| losses_init: 0.0036, forward_head: 1.0775, bptt_initial: 14.3494, tail: 0.8022, advantages_returns: 0.2661, losses: 1.9835 | |
| bptt: 1.7620 | |
| bptt_forward_core: 1.6849 | |
| update: 11.2384 | |
| clip: 1.2855 | |
| [2023-02-23 09:51:11,357][11985] RolloutWorker_w0 profile tree view: | |
| wait_for_trajectories: 0.2543, enqueue_policy_requests: 11.5761, env_step: 310.7096, overhead: 12.3420, complete_rollouts: 2.2334 | |
| save_policy_outputs: 11.3773 | |
| split_output_tensors: 5.6039 | |
| [2023-02-23 09:51:11,359][11985] RolloutWorker_w7 profile tree view: | |
| wait_for_trajectories: 0.2208, enqueue_policy_requests: 11.6518, env_step: 310.6223, overhead: 12.3694, complete_rollouts: 2.3541 | |
| save_policy_outputs: 11.4765 | |
| split_output_tensors: 5.6588 | |
| [2023-02-23 09:51:11,362][11985] Loop Runner_EvtLoop terminating... | |
| [2023-02-23 09:51:11,364][11985] Runner profile tree view: | |
| main_loop: 502.2108 | |
| [2023-02-23 09:51:11,366][11985] Collected {0: 4005888}, FPS: 7976.5 | |
| [2023-02-23 09:56:07,776][11985] Loading existing experiment configuration from /content/train_dir/default_experiment/config.json | |
| [2023-02-23 09:56:07,778][11985] Overriding arg 'num_workers' with value 1 passed from command line | |
| [2023-02-23 09:56:07,780][11985] Adding new argument 'no_render'=True that is not in the saved config file! | |
| [2023-02-23 09:56:07,782][11985] Adding new argument 'save_video'=True that is not in the saved config file! | |
| [2023-02-23 09:56:07,783][11985] Adding new argument 'video_frames'=1000000000.0 that is not in the saved config file! | |
| [2023-02-23 09:56:07,785][11985] Adding new argument 'video_name'=None that is not in the saved config file! | |
| [2023-02-23 09:56:07,787][11985] Adding new argument 'max_num_frames'=1000000000.0 that is not in the saved config file! | |
| [2023-02-23 09:56:07,789][11985] Adding new argument 'max_num_episodes'=10 that is not in the saved config file! | |
| [2023-02-23 09:56:07,791][11985] Adding new argument 'push_to_hub'=False that is not in the saved config file! | |
| [2023-02-23 09:56:07,793][11985] Adding new argument 'hf_repository'=None that is not in the saved config file! | |
| [2023-02-23 09:56:07,794][11985] Adding new argument 'policy_index'=0 that is not in the saved config file! | |
| [2023-02-23 09:56:07,796][11985] Adding new argument 'eval_deterministic'=False that is not in the saved config file! | |
| [2023-02-23 09:56:07,797][11985] Adding new argument 'train_script'=None that is not in the saved config file! | |
| [2023-02-23 09:56:07,800][11985] Adding new argument 'enjoy_script'=None that is not in the saved config file! | |
| [2023-02-23 09:56:07,802][11985] Using frameskip 1 and render_action_repeat=4 for evaluation | |
| [2023-02-23 09:56:07,818][11985] Doom resolution: 160x120, resize resolution: (128, 72) | |
| [2023-02-23 09:56:07,821][11985] RunningMeanStd input shape: (3, 72, 128) | |
| [2023-02-23 09:56:07,824][11985] RunningMeanStd input shape: (1,) | |
| [2023-02-23 09:56:07,839][11985] ConvEncoder: input_channels=3 | |
| [2023-02-23 09:56:08,547][11985] Conv encoder output size: 512 | |
| [2023-02-23 09:56:08,549][11985] Policy head output size: 512 | |
| [2023-02-23 09:56:10,819][11985] Loading state from checkpoint /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000978_4005888.pth... | |
| [2023-02-23 09:56:12,057][11985] Num frames 100... | |
| [2023-02-23 09:56:12,162][11985] Num frames 200... | |
| [2023-02-23 09:56:12,268][11985] Num frames 300... | |
| [2023-02-23 09:56:12,369][11985] Num frames 400... | |
| [2023-02-23 09:56:12,471][11985] Num frames 500... | |
| [2023-02-23 09:56:12,571][11985] Num frames 600... | |
| [2023-02-23 09:56:12,647][11985] Avg episode rewards: #0: 14.180, true rewards: #0: 6.180 | |
| [2023-02-23 09:56:12,649][11985] Avg episode reward: 14.180, avg true_objective: 6.180 | |
| [2023-02-23 09:56:12,745][11985] Num frames 700... | |
| [2023-02-23 09:56:12,844][11985] Num frames 800... | |
| [2023-02-23 09:56:12,949][11985] Num frames 900... | |
| [2023-02-23 09:56:13,070][11985] Num frames 1000... | |
| [2023-02-23 09:56:13,195][11985] Num frames 1100... | |
| [2023-02-23 09:56:13,307][11985] Num frames 1200... | |
| [2023-02-23 09:56:13,418][11985] Num frames 1300... | |
| [2023-02-23 09:56:13,532][11985] Num frames 1400... | |
| [2023-02-23 09:56:13,660][11985] Num frames 1500... | |
| [2023-02-23 09:56:13,784][11985] Num frames 1600... | |
| [2023-02-23 09:56:13,897][11985] Num frames 1700... | |
| [2023-02-23 09:56:14,009][11985] Num frames 1800... | |
| [2023-02-23 09:56:14,108][11985] Avg episode rewards: #0: 22.670, true rewards: #0: 9.170 | |
| [2023-02-23 09:56:14,111][11985] Avg episode reward: 22.670, avg true_objective: 9.170 | |
| [2023-02-23 09:56:14,200][11985] Num frames 1900... | |
| [2023-02-23 09:56:14,338][11985] Num frames 2000... | |
| [2023-02-23 09:56:14,456][11985] Num frames 2100... | |
| [2023-02-23 09:56:14,573][11985] Num frames 2200... | |
| [2023-02-23 09:56:14,695][11985] Num frames 2300... | |
| [2023-02-23 09:56:14,807][11985] Num frames 2400... | |
| [2023-02-23 09:56:14,922][11985] Num frames 2500... | |
| [2023-02-23 09:56:15,037][11985] Num frames 2600... | |
| [2023-02-23 09:56:15,148][11985] Num frames 2700... | |
| [2023-02-23 09:56:15,263][11985] Num frames 2800... | |
| [2023-02-23 09:56:15,376][11985] Num frames 2900... | |
| [2023-02-23 09:56:15,491][11985] Num frames 3000... | |
| [2023-02-23 09:56:15,630][11985] Avg episode rewards: #0: 23.607, true rewards: #0: 10.273 | |
| [2023-02-23 09:56:15,632][11985] Avg episode reward: 23.607, avg true_objective: 10.273 | |
| [2023-02-23 09:56:15,656][11985] Num frames 3100... | |
| [2023-02-23 09:56:15,765][11985] Num frames 3200... | |
| [2023-02-23 09:56:15,868][11985] Num frames 3300... | |
| [2023-02-23 09:56:15,971][11985] Num frames 3400... | |
| [2023-02-23 09:56:16,079][11985] Num frames 3500... | |
| [2023-02-23 09:56:16,183][11985] Num frames 3600... | |
| [2023-02-23 09:56:16,284][11985] Num frames 3700... | |
| [2023-02-23 09:56:16,392][11985] Num frames 3800... | |
| [2023-02-23 09:56:16,499][11985] Num frames 3900... | |
| [2023-02-23 09:56:16,606][11985] Num frames 4000... | |
| [2023-02-23 09:56:16,700][11985] Avg episode rewards: #0: 22.838, true rewards: #0: 10.087 | |
| [2023-02-23 09:56:16,703][11985] Avg episode reward: 22.838, avg true_objective: 10.087 | |
| [2023-02-23 09:56:16,775][11985] Num frames 4100... | |
| [2023-02-23 09:56:16,889][11985] Num frames 4200... | |
| [2023-02-23 09:56:16,995][11985] Num frames 4300... | |
| [2023-02-23 09:56:17,105][11985] Num frames 4400... | |
| [2023-02-23 09:56:17,213][11985] Num frames 4500... | |
| [2023-02-23 09:56:17,318][11985] Num frames 4600... | |
| [2023-02-23 09:56:17,420][11985] Num frames 4700... | |
| [2023-02-23 09:56:17,527][11985] Num frames 4800... | |
| [2023-02-23 09:56:17,602][11985] Avg episode rewards: #0: 21.636, true rewards: #0: 9.636 | |
| [2023-02-23 09:56:17,604][11985] Avg episode reward: 21.636, avg true_objective: 9.636 | |
| [2023-02-23 09:56:17,694][11985] Num frames 4900... | |
| [2023-02-23 09:56:17,807][11985] Num frames 5000... | |
| [2023-02-23 09:56:17,915][11985] Num frames 5100... | |
| [2023-02-23 09:56:18,017][11985] Num frames 5200... | |
| [2023-02-23 09:56:18,126][11985] Num frames 5300... | |
| [2023-02-23 09:56:18,237][11985] Num frames 5400... | |
| [2023-02-23 09:56:18,351][11985] Num frames 5500... | |
| [2023-02-23 09:56:18,457][11985] Num frames 5600... | |
| [2023-02-23 09:56:18,559][11985] Num frames 5700... | |
| [2023-02-23 09:56:18,664][11985] Num frames 5800... | |
| [2023-02-23 09:56:18,775][11985] Num frames 5900... | |
| [2023-02-23 09:56:18,877][11985] Num frames 6000... | |
| [2023-02-23 09:56:19,001][11985] Num frames 6100... | |
| [2023-02-23 09:56:19,110][11985] Num frames 6200... | |
| [2023-02-23 09:56:19,220][11985] Num frames 6300... | |
| [2023-02-23 09:56:19,334][11985] Num frames 6400... | |
| [2023-02-23 09:56:19,448][11985] Num frames 6500... | |
| [2023-02-23 09:56:19,553][11985] Num frames 6600... | |
| [2023-02-23 09:56:19,667][11985] Num frames 6700... | |
| [2023-02-23 09:56:19,795][11985] Num frames 6800... | |
| [2023-02-23 09:56:19,916][11985] Num frames 6900... | |
| [2023-02-23 09:56:19,993][11985] Avg episode rewards: #0: 27.697, true rewards: #0: 11.530 | |
| [2023-02-23 09:56:19,996][11985] Avg episode reward: 27.697, avg true_objective: 11.530 | |
| [2023-02-23 09:56:20,096][11985] Num frames 7000... | |
| [2023-02-23 09:56:20,206][11985] Num frames 7100... | |
| [2023-02-23 09:56:20,312][11985] Num frames 7200... | |
| [2023-02-23 09:56:20,421][11985] Num frames 7300... | |
| [2023-02-23 09:56:20,530][11985] Num frames 7400... | |
| [2023-02-23 09:56:20,637][11985] Num frames 7500... | |
| [2023-02-23 09:56:20,745][11985] Num frames 7600... | |
| [2023-02-23 09:56:20,846][11985] Num frames 7700... | |
| [2023-02-23 09:56:20,945][11985] Num frames 7800... | |
| [2023-02-23 09:56:21,047][11985] Num frames 7900... | |
| [2023-02-23 09:56:21,151][11985] Num frames 8000... | |
| [2023-02-23 09:56:21,258][11985] Num frames 8100... | |
| [2023-02-23 09:56:21,367][11985] Num frames 8200... | |
| [2023-02-23 09:56:21,480][11985] Num frames 8300... | |
| [2023-02-23 09:56:21,597][11985] Num frames 8400... | |
| [2023-02-23 09:56:21,707][11985] Num frames 8500... | |
| [2023-02-23 09:56:21,816][11985] Num frames 8600... | |
| [2023-02-23 09:56:21,921][11985] Num frames 8700... | |
| [2023-02-23 09:56:22,027][11985] Num frames 8800... | |
| [2023-02-23 09:56:22,129][11985] Avg episode rewards: #0: 31.203, true rewards: #0: 12.631 | |
| [2023-02-23 09:56:22,130][11985] Avg episode reward: 31.203, avg true_objective: 12.631 | |
| [2023-02-23 09:56:22,196][11985] Num frames 8900... | |
| [2023-02-23 09:56:22,302][11985] Num frames 9000... | |
| [2023-02-23 09:56:22,410][11985] Num frames 9100... | |
| [2023-02-23 09:56:22,516][11985] Num frames 9200... | |
| [2023-02-23 09:56:22,619][11985] Num frames 9300... | |
| [2023-02-23 09:56:22,729][11985] Num frames 9400... | |
| [2023-02-23 09:56:22,833][11985] Num frames 9500... | |
| [2023-02-23 09:56:22,938][11985] Num frames 9600... | |
| [2023-02-23 09:56:23,043][11985] Num frames 9700... | |
| [2023-02-23 09:56:23,152][11985] Num frames 9800... | |
| [2023-02-23 09:56:23,253][11985] Num frames 9900... | |
| [2023-02-23 09:56:23,342][11985] Avg episode rewards: #0: 30.162, true rewards: #0: 12.412 | |
| [2023-02-23 09:56:23,345][11985] Avg episode reward: 30.162, avg true_objective: 12.412 | |
| [2023-02-23 09:56:23,423][11985] Num frames 10000... | |
| [2023-02-23 09:56:23,529][11985] Num frames 10100... | |
| [2023-02-23 09:56:23,641][11985] Num frames 10200... | |
| [2023-02-23 09:56:23,750][11985] Num frames 10300... | |
| [2023-02-23 09:56:23,853][11985] Num frames 10400... | |
| [2023-02-23 09:56:23,981][11985] Avg episode rewards: #0: 27.971, true rewards: #0: 11.638 | |
| [2023-02-23 09:56:23,983][11985] Avg episode reward: 27.971, avg true_objective: 11.638 | |
| [2023-02-23 09:56:24,014][11985] Num frames 10500... | |
| [2023-02-23 09:56:24,119][11985] Num frames 10600... | |
| [2023-02-23 09:56:24,225][11985] Num frames 10700... | |
| [2023-02-23 09:56:24,329][11985] Num frames 10800... | |
| [2023-02-23 09:56:24,435][11985] Num frames 10900... | |
| [2023-02-23 09:56:24,541][11985] Num frames 11000... | |
| [2023-02-23 09:56:24,642][11985] Num frames 11100... | |
| [2023-02-23 09:56:24,746][11985] Num frames 11200... | |
| [2023-02-23 09:56:24,855][11985] Num frames 11300... | |
| [2023-02-23 09:56:24,966][11985] Num frames 11400... | |
| [2023-02-23 09:56:25,057][11985] Avg episode rewards: #0: 27.234, true rewards: #0: 11.434 | |
| [2023-02-23 09:56:25,060][11985] Avg episode reward: 27.234, avg true_objective: 11.434 | |
| [2023-02-23 09:57:03,493][11985] Replay video saved to /content/train_dir/default_experiment/replay.mp4! | |
| [2023-02-23 10:05:26,470][11985] Loading existing experiment configuration from /content/train_dir/default_experiment/config.json | |
| [2023-02-23 10:05:26,471][11985] Overriding arg 'num_workers' with value 1 passed from command line | |
| [2023-02-23 10:05:26,473][11985] Adding new argument 'no_render'=True that is not in the saved config file! | |
| [2023-02-23 10:05:26,474][11985] Adding new argument 'save_video'=True that is not in the saved config file! | |
| [2023-02-23 10:05:26,477][11985] Adding new argument 'video_frames'=1000000000.0 that is not in the saved config file! | |
| [2023-02-23 10:05:26,478][11985] Adding new argument 'video_name'=None that is not in the saved config file! | |
| [2023-02-23 10:05:26,479][11985] Adding new argument 'max_num_frames'=100000 that is not in the saved config file! | |
| [2023-02-23 10:05:26,481][11985] Adding new argument 'max_num_episodes'=10 that is not in the saved config file! | |
| [2023-02-23 10:05:26,483][11985] Adding new argument 'push_to_hub'=True that is not in the saved config file! | |
| [2023-02-23 10:05:26,485][11985] Adding new argument 'hf_repository'='moodlep/rl_course_vizdoom_health_gathering_supreme' that is not in the saved config file! | |
| [2023-02-23 10:05:26,486][11985] Adding new argument 'policy_index'=0 that is not in the saved config file! | |
| [2023-02-23 10:05:26,487][11985] Adding new argument 'eval_deterministic'=False that is not in the saved config file! | |
| [2023-02-23 10:05:26,488][11985] Adding new argument 'train_script'=None that is not in the saved config file! | |
| [2023-02-23 10:05:26,492][11985] Adding new argument 'enjoy_script'=None that is not in the saved config file! | |
| [2023-02-23 10:05:26,494][11985] Using frameskip 1 and render_action_repeat=4 for evaluation | |
| [2023-02-23 10:05:26,506][11985] RunningMeanStd input shape: (3, 72, 128) | |
| [2023-02-23 10:05:26,508][11985] RunningMeanStd input shape: (1,) | |
| [2023-02-23 10:05:26,523][11985] ConvEncoder: input_channels=3 | |
| [2023-02-23 10:05:26,558][11985] Conv encoder output size: 512 | |
| [2023-02-23 10:05:26,560][11985] Policy head output size: 512 | |
| [2023-02-23 10:05:26,577][11985] Loading state from checkpoint /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000978_4005888.pth... | |
| [2023-02-23 10:05:26,977][11985] Num frames 100... | |
| [2023-02-23 10:05:27,082][11985] Num frames 200... | |
| [2023-02-23 10:05:27,197][11985] Avg episode rewards: #0: 2.560, true rewards: #0: 2.560 | |
| [2023-02-23 10:05:27,199][11985] Avg episode reward: 2.560, avg true_objective: 2.560 | |
| [2023-02-23 10:05:27,249][11985] Num frames 300... | |
| [2023-02-23 10:05:27,355][11985] Num frames 400... | |
| [2023-02-23 10:05:27,463][11985] Num frames 500... | |
| [2023-02-23 10:05:27,561][11985] Num frames 600... | |
| [2023-02-23 10:05:27,658][11985] Num frames 700... | |
| [2023-02-23 10:05:27,764][11985] Num frames 800... | |
| [2023-02-23 10:05:27,882][11985] Avg episode rewards: #0: 6.805, true rewards: #0: 4.305 | |
| [2023-02-23 10:05:27,884][11985] Avg episode reward: 6.805, avg true_objective: 4.305 | |
| [2023-02-23 10:05:27,929][11985] Num frames 900... | |
| [2023-02-23 10:05:28,037][11985] Num frames 1000... | |
| [2023-02-23 10:05:28,145][11985] Num frames 1100... | |
| [2023-02-23 10:05:28,255][11985] Num frames 1200... | |
| [2023-02-23 10:05:28,358][11985] Num frames 1300... | |
| [2023-02-23 10:05:28,462][11985] Num frames 1400... | |
| [2023-02-23 10:05:28,565][11985] Num frames 1500... | |
| [2023-02-23 10:05:28,676][11985] Num frames 1600... | |
| [2023-02-23 10:05:28,778][11985] Num frames 1700... | |
| [2023-02-23 10:05:28,883][11985] Num frames 1800... | |
| [2023-02-23 10:05:28,990][11985] Num frames 1900... | |
| [2023-02-23 10:05:29,097][11985] Num frames 2000... | |
| [2023-02-23 10:05:29,205][11985] Num frames 2100... | |
| [2023-02-23 10:05:29,304][11985] Num frames 2200... | |
| [2023-02-23 10:05:29,414][11985] Num frames 2300... | |
| [2023-02-23 10:05:29,522][11985] Num frames 2400... | |
| [2023-02-23 10:05:29,635][11985] Num frames 2500... | |
| [2023-02-23 10:05:29,758][11985] Num frames 2600... | |
| [2023-02-23 10:05:29,885][11985] Num frames 2700... | |
| [2023-02-23 10:05:29,994][11985] Num frames 2800... | |
| [2023-02-23 10:05:30,104][11985] Num frames 2900... | |
| [2023-02-23 10:05:30,227][11985] Avg episode rewards: #0: 25.203, true rewards: #0: 9.870 | |
| [2023-02-23 10:05:30,229][11985] Avg episode reward: 25.203, avg true_objective: 9.870 | |
| [2023-02-23 10:05:30,273][11985] Num frames 3000... | |
| [2023-02-23 10:05:30,379][11985] Num frames 3100... | |
| [2023-02-23 10:05:30,482][11985] Num frames 3200... | |
| [2023-02-23 10:05:30,584][11985] Num frames 3300... | |
| [2023-02-23 10:05:30,685][11985] Num frames 3400... | |
| [2023-02-23 10:05:30,790][11985] Num frames 3500... | |
| [2023-02-23 10:05:30,893][11985] Num frames 3600... | |
| [2023-02-23 10:05:31,005][11985] Num frames 3700... | |
| [2023-02-23 10:05:31,107][11985] Num frames 3800... | |
| [2023-02-23 10:05:31,209][11985] Num frames 3900... | |
| [2023-02-23 10:05:31,319][11985] Num frames 4000... | |
| [2023-02-23 10:05:31,420][11985] Num frames 4100... | |
| [2023-02-23 10:05:31,532][11985] Avg episode rewards: #0: 25.630, true rewards: #0: 10.380 | |
| [2023-02-23 10:05:31,533][11985] Avg episode reward: 25.630, avg true_objective: 10.380 | |
| [2023-02-23 10:05:31,590][11985] Num frames 4200... | |
| [2023-02-23 10:05:31,703][11985] Num frames 4300... | |
| [2023-02-23 10:05:31,813][11985] Num frames 4400... | |
| [2023-02-23 10:05:31,914][11985] Num frames 4500... | |
| [2023-02-23 10:05:32,025][11985] Num frames 4600... | |
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| [2023-02-23 10:05:32,342][11985] Num frames 4900... | |
| [2023-02-23 10:05:32,450][11985] Num frames 5000... | |
| [2023-02-23 10:05:32,549][11985] Num frames 5100... | |
| [2023-02-23 10:05:32,656][11985] Num frames 5200... | |
| [2023-02-23 10:05:32,770][11985] Num frames 5300... | |
| [2023-02-23 10:05:32,881][11985] Num frames 5400... | |
| [2023-02-23 10:05:32,994][11985] Num frames 5500... | |
| [2023-02-23 10:05:33,109][11985] Num frames 5600... | |
| [2023-02-23 10:05:33,215][11985] Num frames 5700... | |
| [2023-02-23 10:05:33,323][11985] Num frames 5800... | |
| [2023-02-23 10:05:33,432][11985] Num frames 5900... | |
| [2023-02-23 10:05:33,539][11985] Num frames 6000... | |
| [2023-02-23 10:05:33,648][11985] Num frames 6100... | |
| [2023-02-23 10:05:33,800][11985] Avg episode rewards: #0: 32.900, true rewards: #0: 12.300 | |
| [2023-02-23 10:05:33,802][11985] Avg episode reward: 32.900, avg true_objective: 12.300 | |
| [2023-02-23 10:05:33,860][11985] Num frames 6200... | |
| [2023-02-23 10:05:33,969][11985] Num frames 6300... | |
| [2023-02-23 10:05:34,079][11985] Num frames 6400... | |
| [2023-02-23 10:05:34,186][11985] Num frames 6500... | |
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| [2023-02-23 10:05:34,659][11985] Num frames 6900... | |
| [2023-02-23 10:05:34,761][11985] Num frames 7000... | |
| [2023-02-23 10:05:34,869][11985] Num frames 7100... | |
| [2023-02-23 10:05:34,997][11985] Num frames 7200... | |
| [2023-02-23 10:05:35,127][11985] Num frames 7300... | |
| [2023-02-23 10:05:35,237][11985] Avg episode rewards: #0: 32.903, true rewards: #0: 12.237 | |
| [2023-02-23 10:05:35,238][11985] Avg episode reward: 32.903, avg true_objective: 12.237 | |
| [2023-02-23 10:05:35,304][11985] Num frames 7400... | |
| [2023-02-23 10:05:35,422][11985] Num frames 7500... | |
| [2023-02-23 10:05:35,535][11985] Num frames 7600... | |
| [2023-02-23 10:05:35,655][11985] Num frames 7700... | |
| [2023-02-23 10:05:35,764][11985] Num frames 7800... | |
| [2023-02-23 10:05:35,881][11985] Num frames 7900... | |
| [2023-02-23 10:05:35,992][11985] Num frames 8000... | |
| [2023-02-23 10:05:36,120][11985] Num frames 8100... | |
| [2023-02-23 10:05:36,240][11985] Num frames 8200... | |
| [2023-02-23 10:05:36,358][11985] Num frames 8300... | |
| [2023-02-23 10:05:36,476][11985] Num frames 8400... | |
| [2023-02-23 10:05:36,587][11985] Num frames 8500... | |
| [2023-02-23 10:05:36,698][11985] Num frames 8600... | |
| [2023-02-23 10:05:36,809][11985] Num frames 8700... | |
| [2023-02-23 10:05:36,926][11985] Num frames 8800... | |
| [2023-02-23 10:05:37,046][11985] Num frames 8900... | |
| [2023-02-23 10:05:37,161][11985] Num frames 9000... | |
| [2023-02-23 10:05:37,277][11985] Num frames 9100... | |
| [2023-02-23 10:05:37,387][11985] Num frames 9200... | |
| [2023-02-23 10:05:37,462][11985] Avg episode rewards: #0: 34.742, true rewards: #0: 13.171 | |
| [2023-02-23 10:05:37,463][11985] Avg episode reward: 34.742, avg true_objective: 13.171 | |
| [2023-02-23 10:05:37,550][11985] Num frames 9300... | |
| [2023-02-23 10:05:37,657][11985] Num frames 9400... | |
| [2023-02-23 10:05:37,760][11985] Num frames 9500... | |
| [2023-02-23 10:05:37,863][11985] Num frames 9600... | |
| [2023-02-23 10:05:37,968][11985] Num frames 9700... | |
| [2023-02-23 10:05:38,077][11985] Num frames 9800... | |
| [2023-02-23 10:05:38,182][11985] Num frames 9900... | |
| [2023-02-23 10:05:38,283][11985] Num frames 10000... | |
| [2023-02-23 10:05:38,432][11985] Avg episode rewards: #0: 32.605, true rewards: #0: 12.605 | |
| [2023-02-23 10:05:38,434][11985] Avg episode reward: 32.605, avg true_objective: 12.605 | |
| [2023-02-23 10:05:38,455][11985] Num frames 10100... | |
| [2023-02-23 10:05:38,561][11985] Num frames 10200... | |
| [2023-02-23 10:05:38,666][11985] Num frames 10300... | |
| [2023-02-23 10:05:38,776][11985] Num frames 10400... | |
| [2023-02-23 10:05:38,877][11985] Num frames 10500... | |
| [2023-02-23 10:05:38,979][11985] Num frames 10600... | |
| [2023-02-23 10:05:39,097][11985] Num frames 10700... | |
| [2023-02-23 10:05:39,209][11985] Num frames 10800... | |
| [2023-02-23 10:05:39,311][11985] Num frames 10900... | |
| [2023-02-23 10:05:39,420][11985] Num frames 11000... | |
| [2023-02-23 10:05:39,529][11985] Num frames 11100... | |
| [2023-02-23 10:05:39,637][11985] Num frames 11200... | |
| [2023-02-23 10:05:39,740][11985] Num frames 11300... | |
| [2023-02-23 10:05:39,842][11985] Num frames 11400... | |
| [2023-02-23 10:05:39,950][11985] Num frames 11500... | |
| [2023-02-23 10:05:40,040][11985] Avg episode rewards: #0: 33.483, true rewards: #0: 12.817 | |
| [2023-02-23 10:05:40,042][11985] Avg episode reward: 33.483, avg true_objective: 12.817 | |
| [2023-02-23 10:05:40,116][11985] Num frames 11600... | |
| [2023-02-23 10:05:40,224][11985] Num frames 11700... | |
| [2023-02-23 10:05:40,325][11985] Num frames 11800... | |
| [2023-02-23 10:05:40,434][11985] Num frames 11900... | |
| [2023-02-23 10:05:40,533][11985] Num frames 12000... | |
| [2023-02-23 10:05:40,635][11985] Num frames 12100... | |
| [2023-02-23 10:05:40,736][11985] Num frames 12200... | |
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| [2023-02-23 10:05:40,941][11985] Num frames 12400... | |
| [2023-02-23 10:05:41,045][11985] Num frames 12500... | |
| [2023-02-23 10:05:41,156][11985] Num frames 12600... | |
| [2023-02-23 10:05:41,266][11985] Num frames 12700... | |
| [2023-02-23 10:05:41,372][11985] Num frames 12800... | |
| [2023-02-23 10:05:41,475][11985] Num frames 12900... | |
| [2023-02-23 10:05:41,577][11985] Num frames 13000... | |
| [2023-02-23 10:05:41,682][11985] Num frames 13100... | |
| [2023-02-23 10:05:41,818][11985] Avg episode rewards: #0: 33.978, true rewards: #0: 13.178 | |
| [2023-02-23 10:05:41,820][11985] Avg episode reward: 33.978, avg true_objective: 13.178 | |
| [2023-02-23 10:06:25,487][11985] Replay video saved to /content/train_dir/default_experiment/replay.mp4! | |
| [2023-02-23 10:07:58,227][11985] Loading existing experiment configuration from /content/train_dir/default_experiment/config.json | |
| [2023-02-23 10:07:58,228][11985] Overriding arg 'num_workers' with value 1 passed from command line | |
| [2023-02-23 10:07:58,230][11985] Adding new argument 'no_render'=True that is not in the saved config file! | |
| [2023-02-23 10:07:58,232][11985] Adding new argument 'save_video'=True that is not in the saved config file! | |
| [2023-02-23 10:07:58,234][11985] Adding new argument 'video_frames'=1000000000.0 that is not in the saved config file! | |
| [2023-02-23 10:07:58,236][11985] Adding new argument 'video_name'=None that is not in the saved config file! | |
| [2023-02-23 10:07:58,237][11985] Adding new argument 'max_num_frames'=100000 that is not in the saved config file! | |
| [2023-02-23 10:07:58,240][11985] Adding new argument 'max_num_episodes'=10 that is not in the saved config file! | |
| [2023-02-23 10:07:58,241][11985] Adding new argument 'push_to_hub'=True that is not in the saved config file! | |
| [2023-02-23 10:07:58,242][11985] Adding new argument 'hf_repository'='moodlep/rl_course_vizdoom_health_gathering_supreme' that is not in the saved config file! | |
| [2023-02-23 10:07:58,245][11985] Adding new argument 'policy_index'=0 that is not in the saved config file! | |
| [2023-02-23 10:07:58,246][11985] Adding new argument 'eval_deterministic'=False that is not in the saved config file! | |
| [2023-02-23 10:07:58,248][11985] Adding new argument 'train_script'=None that is not in the saved config file! | |
| [2023-02-23 10:07:58,250][11985] Adding new argument 'enjoy_script'=None that is not in the saved config file! | |
| [2023-02-23 10:07:58,251][11985] Using frameskip 1 and render_action_repeat=4 for evaluation | |
| [2023-02-23 10:07:58,269][11985] RunningMeanStd input shape: (3, 72, 128) | |
| [2023-02-23 10:07:58,271][11985] RunningMeanStd input shape: (1,) | |
| [2023-02-23 10:07:58,284][11985] ConvEncoder: input_channels=3 | |
| [2023-02-23 10:07:58,318][11985] Conv encoder output size: 512 | |
| [2023-02-23 10:07:58,319][11985] Policy head output size: 512 | |
| [2023-02-23 10:07:58,340][11985] Loading state from checkpoint /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000978_4005888.pth... | |
| [2023-02-23 10:07:58,739][11985] Num frames 100... | |
| [2023-02-23 10:07:58,839][11985] Num frames 200... | |
| [2023-02-23 10:07:58,936][11985] Num frames 300... | |
| [2023-02-23 10:07:59,007][11985] Avg episode rewards: #0: 6.160, true rewards: #0: 3.160 | |
| [2023-02-23 10:07:59,009][11985] Avg episode reward: 6.160, avg true_objective: 3.160 | |
| [2023-02-23 10:07:59,101][11985] Num frames 400... | |
| [2023-02-23 10:07:59,205][11985] Num frames 500... | |
| [2023-02-23 10:07:59,304][11985] Num frames 600... | |
| [2023-02-23 10:07:59,413][11985] Num frames 700... | |
| [2023-02-23 10:07:59,514][11985] Num frames 800... | |
| [2023-02-23 10:07:59,626][11985] Num frames 900... | |
| [2023-02-23 10:07:59,728][11985] Num frames 1000... | |
| [2023-02-23 10:07:59,835][11985] Num frames 1100... | |
| [2023-02-23 10:07:59,973][11985] Avg episode rewards: #0: 14.400, true rewards: #0: 5.900 | |
| [2023-02-23 10:07:59,975][11985] Avg episode reward: 14.400, avg true_objective: 5.900 | |
| [2023-02-23 10:08:00,002][11985] Num frames 1200... | |
| [2023-02-23 10:08:00,108][11985] Num frames 1300... | |
| [2023-02-23 10:08:00,217][11985] Num frames 1400... | |
| [2023-02-23 10:08:00,318][11985] Num frames 1500... | |
| [2023-02-23 10:08:00,421][11985] Num frames 1600... | |
| [2023-02-23 10:08:00,530][11985] Num frames 1700... | |
| [2023-02-23 10:08:00,636][11985] Num frames 1800... | |
| [2023-02-23 10:08:00,738][11985] Num frames 1900... | |
| [2023-02-23 10:08:00,825][11985] Avg episode rewards: #0: 14.770, true rewards: #0: 6.437 | |
| [2023-02-23 10:08:00,827][11985] Avg episode reward: 14.770, avg true_objective: 6.437 | |
| [2023-02-23 10:08:00,904][11985] Num frames 2000... | |
| [2023-02-23 10:08:01,013][11985] Num frames 2100... | |
| [2023-02-23 10:08:01,114][11985] Num frames 2200... | |
| [2023-02-23 10:08:01,229][11985] Num frames 2300... | |
| [2023-02-23 10:08:01,332][11985] Num frames 2400... | |
| [2023-02-23 10:08:01,435][11985] Num frames 2500... | |
| [2023-02-23 10:08:01,546][11985] Num frames 2600... | |
| [2023-02-23 10:08:01,694][11985] Avg episode rewards: #0: 15.210, true rewards: #0: 6.710 | |
| [2023-02-23 10:08:01,696][11985] Avg episode reward: 15.210, avg true_objective: 6.710 | |
| [2023-02-23 10:08:01,716][11985] Num frames 2700... | |
| [2023-02-23 10:08:01,822][11985] Num frames 2800... | |
| [2023-02-23 10:08:01,943][11985] Num frames 2900... | |
| [2023-02-23 10:08:02,063][11985] Num frames 3000... | |
| [2023-02-23 10:08:02,176][11985] Num frames 3100... | |
| [2023-02-23 10:08:02,278][11985] Num frames 3200... | |
| [2023-02-23 10:08:02,379][11985] Num frames 3300... | |
| [2023-02-23 10:08:02,482][11985] Num frames 3400... | |
| [2023-02-23 10:08:02,592][11985] Num frames 3500... | |
| [2023-02-23 10:08:02,698][11985] Num frames 3600... | |
| [2023-02-23 10:08:02,800][11985] Num frames 3700... | |
| [2023-02-23 10:08:02,902][11985] Num frames 3800... | |
| [2023-02-23 10:08:03,008][11985] Num frames 3900... | |
| [2023-02-23 10:08:03,114][11985] Num frames 4000... | |
| [2023-02-23 10:08:03,222][11985] Num frames 4100... | |
| [2023-02-23 10:08:03,334][11985] Num frames 4200... | |
| [2023-02-23 10:08:03,450][11985] Num frames 4300... | |
| [2023-02-23 10:08:03,508][11985] Avg episode rewards: #0: 20.202, true rewards: #0: 8.602 | |
| [2023-02-23 10:08:03,510][11985] Avg episode reward: 20.202, avg true_objective: 8.602 | |
| [2023-02-23 10:08:03,615][11985] Num frames 4400... | |
| [2023-02-23 10:08:03,720][11985] Num frames 4500... | |
| [2023-02-23 10:08:03,829][11985] Num frames 4600... | |
| [2023-02-23 10:08:03,936][11985] Num frames 4700... | |
| [2023-02-23 10:08:04,043][11985] Num frames 4800... | |
| [2023-02-23 10:08:04,154][11985] Num frames 4900... | |
| [2023-02-23 10:08:04,281][11985] Num frames 5000... | |
| [2023-02-23 10:08:04,402][11985] Num frames 5100... | |
| [2023-02-23 10:08:04,515][11985] Num frames 5200... | |
| [2023-02-23 10:08:04,629][11985] Num frames 5300... | |
| [2023-02-23 10:08:04,735][11985] Num frames 5400... | |
| [2023-02-23 10:08:04,846][11985] Num frames 5500... | |
| [2023-02-23 10:08:04,953][11985] Num frames 5600... | |
| [2023-02-23 10:08:05,065][11985] Num frames 5700... | |
| [2023-02-23 10:08:05,172][11985] Num frames 5800... | |
| [2023-02-23 10:08:05,325][11985] Avg episode rewards: #0: 23.480, true rewards: #0: 9.813 | |
| [2023-02-23 10:08:05,327][11985] Avg episode reward: 23.480, avg true_objective: 9.813 | |
| [2023-02-23 10:08:05,342][11985] Num frames 5900... | |
| [2023-02-23 10:08:05,447][11985] Num frames 6000... | |
| [2023-02-23 10:08:05,547][11985] Num frames 6100... | |
| [2023-02-23 10:08:05,651][11985] Num frames 6200... | |
| [2023-02-23 10:08:05,751][11985] Num frames 6300... | |
| [2023-02-23 10:08:05,852][11985] Num frames 6400... | |
| [2023-02-23 10:08:05,958][11985] Num frames 6500... | |
| [2023-02-23 10:08:06,065][11985] Num frames 6600... | |
| [2023-02-23 10:08:06,170][11985] Num frames 6700... | |
| [2023-02-23 10:08:06,275][11985] Num frames 6800... | |
| [2023-02-23 10:08:06,402][11985] Num frames 6900... | |
| [2023-02-23 10:08:06,518][11985] Num frames 7000... | |
| [2023-02-23 10:08:06,635][11985] Num frames 7100... | |
| [2023-02-23 10:08:06,751][11985] Num frames 7200... | |
| [2023-02-23 10:08:06,866][11985] Num frames 7300... | |
| [2023-02-23 10:08:06,984][11985] Num frames 7400... | |
| [2023-02-23 10:08:07,105][11985] Num frames 7500... | |
| [2023-02-23 10:08:07,221][11985] Avg episode rewards: #0: 26.217, true rewards: #0: 10.789 | |
| [2023-02-23 10:08:07,223][11985] Avg episode reward: 26.217, avg true_objective: 10.789 | |
| [2023-02-23 10:08:07,284][11985] Num frames 7600... | |
| [2023-02-23 10:08:07,394][11985] Num frames 7700... | |
| [2023-02-23 10:08:07,512][11985] Num frames 7800... | |
| [2023-02-23 10:08:07,642][11985] Num frames 7900... | |
| [2023-02-23 10:08:07,762][11985] Num frames 8000... | |
| [2023-02-23 10:08:07,877][11985] Num frames 8100... | |
| [2023-02-23 10:08:07,989][11985] Num frames 8200... | |
| [2023-02-23 10:08:08,103][11985] Num frames 8300... | |
| [2023-02-23 10:08:08,218][11985] Num frames 8400... | |
| [2023-02-23 10:08:08,333][11985] Num frames 8500... | |
| [2023-02-23 10:08:08,445][11985] Num frames 8600... | |
| [2023-02-23 10:08:08,554][11985] Num frames 8700... | |
| [2023-02-23 10:08:08,666][11985] Num frames 8800... | |
| [2023-02-23 10:08:08,775][11985] Num frames 8900... | |
| [2023-02-23 10:08:08,888][11985] Num frames 9000... | |
| [2023-02-23 10:08:08,989][11985] Num frames 9100... | |
| [2023-02-23 10:08:09,108][11985] Num frames 9200... | |
| [2023-02-23 10:08:09,220][11985] Num frames 9300... | |
| [2023-02-23 10:08:09,328][11985] Num frames 9400... | |
| [2023-02-23 10:08:09,426][11985] Num frames 9500... | |
| [2023-02-23 10:08:09,537][11985] Num frames 9600... | |
| [2023-02-23 10:08:09,648][11985] Avg episode rewards: #0: 29.565, true rewards: #0: 12.065 | |
| [2023-02-23 10:08:09,650][11985] Avg episode reward: 29.565, avg true_objective: 12.065 | |
| [2023-02-23 10:08:09,703][11985] Num frames 9700... | |
| [2023-02-23 10:08:09,813][11985] Num frames 9800... | |
| [2023-02-23 10:08:09,922][11985] Num frames 9900... | |
| [2023-02-23 10:08:10,030][11985] Num frames 10000... | |
| [2023-02-23 10:08:10,133][11985] Num frames 10100... | |
| [2023-02-23 10:08:10,245][11985] Num frames 10200... | |
| [2023-02-23 10:08:10,356][11985] Num frames 10300... | |
| [2023-02-23 10:08:10,415][11985] Avg episode rewards: #0: 28.447, true rewards: #0: 11.447 | |
| [2023-02-23 10:08:10,417][11985] Avg episode reward: 28.447, avg true_objective: 11.447 | |
| [2023-02-23 10:08:10,517][11985] Num frames 10400... | |
| [2023-02-23 10:08:10,622][11985] Num frames 10500... | |
| [2023-02-23 10:08:10,733][11985] Num frames 10600... | |
| [2023-02-23 10:08:10,835][11985] Num frames 10700... | |
| [2023-02-23 10:08:10,941][11985] Num frames 10800... | |
| [2023-02-23 10:08:11,043][11985] Num frames 10900... | |
| [2023-02-23 10:08:11,147][11985] Num frames 11000... | |
| [2023-02-23 10:08:11,247][11985] Num frames 11100... | |
| [2023-02-23 10:08:11,358][11985] Num frames 11200... | |
| [2023-02-23 10:08:11,466][11985] Num frames 11300... | |
| [2023-02-23 10:08:11,574][11985] Num frames 11400... | |
| [2023-02-23 10:08:11,690][11985] Num frames 11500... | |
| [2023-02-23 10:08:11,796][11985] Num frames 11600... | |
| [2023-02-23 10:08:11,907][11985] Num frames 11700... | |
| [2023-02-23 10:08:12,012][11985] Num frames 11800... | |
| [2023-02-23 10:08:12,116][11985] Num frames 11900... | |
| [2023-02-23 10:08:12,219][11985] Num frames 12000... | |
| [2023-02-23 10:08:12,330][11985] Num frames 12100... | |
| [2023-02-23 10:08:12,413][11985] Avg episode rewards: #0: 30.325, true rewards: #0: 12.125 | |
| [2023-02-23 10:08:12,415][11985] Avg episode reward: 30.325, avg true_objective: 12.125 | |
| [2023-02-23 10:08:52,893][11985] Replay video saved to /content/train_dir/default_experiment/replay.mp4! | |