Maxime Kuntz commited on
Commit
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1 Parent(s): 63eb488

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Files changed (3) hide show
  1. README.md +1 -1
  2. replay.mp4 +2 -2
  3. sf_log.txt +287 -0
README.md CHANGED
@@ -15,7 +15,7 @@ model-index:
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  type: doom_health_gathering_supreme
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  metrics:
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  - type: mean_reward
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- value: 10.17 +/- 5.48
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  name: mean_reward
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  verified: false
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  ---
 
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  type: doom_health_gathering_supreme
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  metrics:
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  - type: mean_reward
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+ value: 11.23 +/- 5.55
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  name: mean_reward
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  verified: false
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  ---
replay.mp4 CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:937a5b00dde95d6d650a495ba75f1d8f9952b86e88859fa53d7d44c595a9a55f
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- size 19700370
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:9d444faaf22d28822f809376d4fca172f5f4f1e9fbda5e2e663cc97d38b693fe
3
+ size 43558367
sf_log.txt CHANGED
@@ -1164,3 +1164,290 @@ main_loop: 1086.2690
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  [2023-02-26 17:50:44,402][00949] Avg episode rewards: #0: 22.567, true rewards: #0: 10.167
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  [2023-02-26 17:50:44,404][00949] Avg episode reward: 22.567, avg true_objective: 10.167
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  [2023-02-26 17:51:47,855][00949] Replay video saved to /content/train_dir/default_experiment/replay.mp4!
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  [2023-02-26 17:50:44,402][00949] Avg episode rewards: #0: 22.567, true rewards: #0: 10.167
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  [2023-02-26 17:50:44,404][00949] Avg episode reward: 22.567, avg true_objective: 10.167
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  [2023-02-26 17:51:47,855][00949] Replay video saved to /content/train_dir/default_experiment/replay.mp4!
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+ [2023-02-26 17:51:51,989][00949] The model has been pushed to https://huggingface.co/mktz/rl_course_vizdoom_health_gathering_supreme
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+ [2023-02-26 17:55:55,139][00949] Loading existing experiment configuration from /content/train_dir/default_experiment/config.json
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+ [2023-02-26 17:55:55,140][00949] Overriding arg 'num_workers' with value 2 passed from command line
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+ [2023-02-26 17:55:55,143][00949] Adding new argument 'no_render'=True that is not in the saved config file!
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+ [2023-02-26 17:55:55,146][00949] Adding new argument 'save_video'=True that is not in the saved config file!
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+ [2023-02-26 17:55:55,148][00949] Adding new argument 'video_frames'=1000000000.0 that is not in the saved config file!
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+ [2023-02-26 17:55:55,150][00949] Adding new argument 'video_name'=None that is not in the saved config file!
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+ [2023-02-26 17:55:55,152][00949] Adding new argument 'max_num_frames'=100000 that is not in the saved config file!
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+ [2023-02-26 17:55:55,154][00949] Adding new argument 'max_num_episodes'=20 that is not in the saved config file!
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+ [2023-02-26 17:55:55,156][00949] Adding new argument 'push_to_hub'=True that is not in the saved config file!
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+ [2023-02-26 17:55:55,157][00949] Adding new argument 'hf_repository'='mktz/rl_course_vizdoom_health_gathering_supreme' that is not in the saved config file!
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+ [2023-02-26 17:55:55,158][00949] Adding new argument 'policy_index'=0 that is not in the saved config file!
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+ [2023-02-26 17:55:55,159][00949] Adding new argument 'eval_deterministic'=False that is not in the saved config file!
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+ [2023-02-26 17:55:55,160][00949] Adding new argument 'train_script'=None that is not in the saved config file!
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+ [2023-02-26 17:55:55,161][00949] Adding new argument 'enjoy_script'=None that is not in the saved config file!
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+ [2023-02-26 17:55:55,162][00949] Using frameskip 1 and render_action_repeat=4 for evaluation
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+ [2023-02-26 17:55:55,186][00949] RunningMeanStd input shape: (3, 72, 128)
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+ [2023-02-26 17:55:55,189][00949] RunningMeanStd input shape: (1,)
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+ [2023-02-26 17:55:55,208][00949] ConvEncoder: input_channels=3
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+ [2023-02-26 17:55:55,253][00949] Conv encoder output size: 512
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+ [2023-02-26 17:55:55,254][00949] Policy head output size: 512
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+ [2023-02-26 17:55:55,278][00949] Loading state from checkpoint /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000000978_4005888.pth...
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+ [2023-02-26 17:55:55,726][00949] Num frames 100...
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+ [2023-02-26 17:55:55,873][00949] Num frames 200...
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+ [2023-02-26 17:55:56,036][00949] Num frames 300...
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+ [2023-02-26 17:55:56,199][00949] Num frames 400...
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+ [2023-02-26 17:55:56,376][00949] Num frames 500...
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+ [2023-02-26 17:55:56,535][00949] Num frames 600...
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+ [2023-02-26 17:55:56,697][00949] Num frames 700...
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+ [2023-02-26 17:55:56,866][00949] Num frames 800...
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+ [2023-02-26 17:55:57,028][00949] Num frames 900...
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+ [2023-02-26 17:55:57,191][00949] Num frames 1000...
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+ [2023-02-26 17:55:57,528][00949] Num frames 1200...
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+ [2023-02-26 17:55:57,694][00949] Num frames 1300...
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+ [2023-02-26 17:55:57,772][00949] Avg episode rewards: #0: 26.120, true rewards: #0: 13.120
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+ [2023-02-26 17:55:57,776][00949] Avg episode reward: 26.120, avg true_objective: 13.120
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+ [2023-02-26 17:55:57,917][00949] Num frames 1400...
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+ [2023-02-26 17:55:58,094][00949] Num frames 1500...
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+ [2023-02-26 17:55:59,085][00949] Num frames 2100...
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+ [2023-02-26 17:55:59,239][00949] Num frames 2200...
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+ [2023-02-26 17:55:59,353][00949] Num frames 2300...
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+ [2023-02-26 17:55:59,475][00949] Num frames 2400...
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+ [2023-02-26 17:55:59,568][00949] Avg episode rewards: #0: 26.660, true rewards: #0: 12.160
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+ [2023-02-26 17:55:59,570][00949] Avg episode reward: 26.660, avg true_objective: 12.160
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+ [2023-02-26 17:55:59,649][00949] Num frames 2500...
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+ [2023-02-26 17:56:00,111][00949] Num frames 2900...
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+ [2023-02-26 17:56:00,223][00949] Num frames 3000...
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+ [2023-02-26 17:56:00,336][00949] Num frames 3100...
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+ [2023-02-26 17:56:00,452][00949] Num frames 3200...
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+ [2023-02-26 17:56:00,572][00949] Num frames 3300...
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+ [2023-02-26 17:56:01,253][00949] Num frames 3900...
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+ [2023-02-26 17:56:01,378][00949] Num frames 4000...
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+ [2023-02-26 17:56:01,496][00949] Num frames 4100...
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+ [2023-02-26 17:56:01,606][00949] Num frames 4200...
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+ [2023-02-26 17:56:01,699][00949] Avg episode rewards: #0: 31.747, true rewards: #0: 14.080
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+ [2023-02-26 17:56:01,700][00949] Avg episode reward: 31.747, avg true_objective: 14.080
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+ [2023-02-26 17:56:01,789][00949] Num frames 4300...
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+ [2023-02-26 17:56:01,906][00949] Num frames 4400...
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+ [2023-02-26 17:56:02,473][00949] Num frames 4900...
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+ [2023-02-26 17:56:02,570][00949] Avg episode rewards: #0: 27.825, true rewards: #0: 12.325
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+ [2023-02-26 17:56:02,572][00949] Avg episode reward: 27.825, avg true_objective: 12.325
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+ [2023-02-26 17:56:02,653][00949] Num frames 5000...
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+ [2023-02-26 17:56:02,767][00949] Num frames 5100...
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+ [2023-02-26 17:56:02,888][00949] Num frames 5200...
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+ [2023-02-26 17:56:03,234][00949] Num frames 5500...
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+ [2023-02-26 17:56:03,303][00949] Avg episode rewards: #0: 24.224, true rewards: #0: 11.024
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+ [2023-02-26 17:56:03,305][00949] Avg episode reward: 24.224, avg true_objective: 11.024
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+ [2023-02-26 17:56:03,405][00949] Num frames 5600...
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+ [2023-02-26 17:56:05,240][00949] Avg episode rewards: #0: 24.647, true rewards: #0: 11.480
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+ [2023-02-26 17:56:05,242][00949] Avg episode reward: 24.647, avg true_objective: 11.480
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+ [2023-02-26 17:56:05,265][00949] Num frames 6900...
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+ [2023-02-26 17:56:08,321][00949] Num frames 8900...
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+ [2023-02-26 17:56:08,475][00949] Avg episode rewards: #0: 29.697, true rewards: #0: 12.840
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+ [2023-02-26 17:56:08,477][00949] Avg episode reward: 29.697, avg true_objective: 12.840
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+ [2023-02-26 17:56:09,668][00949] Avg episode rewards: #0: 28.020, true rewards: #0: 12.395
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+ [2023-02-26 17:56:09,669][00949] Avg episode reward: 28.020, avg true_objective: 12.395
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+ [2023-02-26 17:56:09,775][00949] Num frames 10000...
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+ [2023-02-26 17:56:10,443][00949] Avg episode rewards: #0: 25.915, true rewards: #0: 11.693
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+ [2023-02-26 17:56:10,445][00949] Avg episode reward: 25.915, avg true_objective: 11.693
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+ [2023-02-26 17:56:10,904][00949] Avg episode rewards: #0: 23.776, true rewards: #0: 10.876
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+ [2023-02-26 17:56:10,906][00949] Avg episode reward: 23.776, avg true_objective: 10.876
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+ [2023-02-26 17:56:11,758][00949] Avg episode rewards: #0: 23.061, true rewards: #0: 10.515
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+ [2023-02-26 17:56:11,760][00949] Avg episode reward: 23.061, avg true_objective: 10.515
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+ [2023-02-26 17:56:12,293][00949] Avg episode rewards: #0: 21.652, true rewards: #0: 9.986
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+ [2023-02-26 17:56:12,295][00949] Avg episode reward: 21.652, avg true_objective: 9.986
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+ [2023-02-26 17:56:13,907][00949] Avg episode rewards: #0: 22.611, true rewards: #0: 10.227
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+ [2023-02-26 17:56:13,909][00949] Avg episode reward: 22.611, avg true_objective: 10.227
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+ [2023-02-26 17:56:15,809][00949] Num frames 14900...
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+ [2023-02-26 17:56:15,978][00949] Avg episode rewards: #0: 23.851, true rewards: #0: 10.709
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+ [2023-02-26 17:56:15,983][00949] Avg episode reward: 23.851, avg true_objective: 10.709
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+ [2023-02-26 17:56:16,934][00949] Avg episode rewards: #0: 23.491, true rewards: #0: 10.491
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+ [2023-02-26 17:56:16,935][00949] Avg episode reward: 23.491, avg true_objective: 10.491
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+ [2023-02-26 17:56:17,016][00949] Num frames 15800...
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+ [2023-02-26 17:56:17,262][00949] Num frames 16000...
1379
+ [2023-02-26 17:56:17,384][00949] Num frames 16100...
1380
+ [2023-02-26 17:56:17,498][00949] Num frames 16200...
1381
+ [2023-02-26 17:56:17,613][00949] Num frames 16300...
1382
+ [2023-02-26 17:56:17,738][00949] Num frames 16400...
1383
+ [2023-02-26 17:56:17,912][00949] Num frames 16500...
1384
+ [2023-02-26 17:56:18,065][00949] Num frames 16600...
1385
+ [2023-02-26 17:56:18,219][00949] Num frames 16700...
1386
+ [2023-02-26 17:56:18,416][00949] Avg episode rewards: #0: 23.870, true rewards: #0: 10.495
1387
+ [2023-02-26 17:56:18,419][00949] Avg episode reward: 23.870, avg true_objective: 10.495
1388
+ [2023-02-26 17:56:18,433][00949] Num frames 16800...
1389
+ [2023-02-26 17:56:18,597][00949] Num frames 16900...
1390
+ [2023-02-26 17:56:18,755][00949] Num frames 17000...
1391
+ [2023-02-26 17:56:18,924][00949] Num frames 17100...
1392
+ [2023-02-26 17:56:19,080][00949] Num frames 17200...
1393
+ [2023-02-26 17:56:19,232][00949] Num frames 17300...
1394
+ [2023-02-26 17:56:19,388][00949] Num frames 17400...
1395
+ [2023-02-26 17:56:19,551][00949] Num frames 17500...
1396
+ [2023-02-26 17:56:19,715][00949] Num frames 17600...
1397
+ [2023-02-26 17:56:19,881][00949] Num frames 17700...
1398
+ [2023-02-26 17:56:20,052][00949] Num frames 17800...
1399
+ [2023-02-26 17:56:20,215][00949] Num frames 17900...
1400
+ [2023-02-26 17:56:20,384][00949] Num frames 18000...
1401
+ [2023-02-26 17:56:20,567][00949] Num frames 18100...
1402
+ [2023-02-26 17:56:20,745][00949] Num frames 18200...
1403
+ [2023-02-26 17:56:20,916][00949] Num frames 18300...
1404
+ [2023-02-26 17:56:21,091][00949] Num frames 18400...
1405
+ [2023-02-26 17:56:21,199][00949] Avg episode rewards: #0: 25.014, true rewards: #0: 10.838
1406
+ [2023-02-26 17:56:21,201][00949] Avg episode reward: 25.014, avg true_objective: 10.838
1407
+ [2023-02-26 17:56:21,310][00949] Num frames 18500...
1408
+ [2023-02-26 17:56:21,429][00949] Num frames 18600...
1409
+ [2023-02-26 17:56:21,542][00949] Num frames 18700...
1410
+ [2023-02-26 17:56:21,659][00949] Num frames 18800...
1411
+ [2023-02-26 17:56:21,772][00949] Num frames 18900...
1412
+ [2023-02-26 17:56:21,883][00949] Num frames 19000...
1413
+ [2023-02-26 17:56:22,006][00949] Num frames 19100...
1414
+ [2023-02-26 17:56:22,128][00949] Num frames 19200...
1415
+ [2023-02-26 17:56:22,245][00949] Num frames 19300...
1416
+ [2023-02-26 17:56:22,361][00949] Num frames 19400...
1417
+ [2023-02-26 17:56:22,483][00949] Num frames 19500...
1418
+ [2023-02-26 17:56:22,597][00949] Num frames 19600...
1419
+ [2023-02-26 17:56:22,712][00949] Num frames 19700...
1420
+ [2023-02-26 17:56:22,824][00949] Num frames 19800...
1421
+ [2023-02-26 17:56:22,939][00949] Num frames 19900...
1422
+ [2023-02-26 17:56:23,067][00949] Num frames 20000...
1423
+ [2023-02-26 17:56:23,186][00949] Avg episode rewards: #0: 25.920, true rewards: #0: 11.142
1424
+ [2023-02-26 17:56:23,188][00949] Avg episode reward: 25.920, avg true_objective: 11.142
1425
+ [2023-02-26 17:56:23,247][00949] Num frames 20100...
1426
+ [2023-02-26 17:56:23,360][00949] Num frames 20200...
1427
+ [2023-02-26 17:56:23,475][00949] Num frames 20300...
1428
+ [2023-02-26 17:56:23,621][00949] Avg episode rewards: #0: 24.829, true rewards: #0: 10.724
1429
+ [2023-02-26 17:56:23,623][00949] Avg episode reward: 24.829, avg true_objective: 10.724
1430
+ [2023-02-26 17:56:23,655][00949] Num frames 20400...
1431
+ [2023-02-26 17:56:23,767][00949] Num frames 20500...
1432
+ [2023-02-26 17:56:23,886][00949] Num frames 20600...
1433
+ [2023-02-26 17:56:24,003][00949] Num frames 20700...
1434
+ [2023-02-26 17:56:24,127][00949] Num frames 20800...
1435
+ [2023-02-26 17:56:24,241][00949] Num frames 20900...
1436
+ [2023-02-26 17:56:24,363][00949] Num frames 21000...
1437
+ [2023-02-26 17:56:24,477][00949] Num frames 21100...
1438
+ [2023-02-26 17:56:24,593][00949] Num frames 21200...
1439
+ [2023-02-26 17:56:24,702][00949] Num frames 21300...
1440
+ [2023-02-26 17:56:24,812][00949] Num frames 21400...
1441
+ [2023-02-26 17:56:24,931][00949] Num frames 21500...
1442
+ [2023-02-26 17:56:25,051][00949] Num frames 21600...
1443
+ [2023-02-26 17:56:25,173][00949] Num frames 21700...
1444
+ [2023-02-26 17:56:25,290][00949] Num frames 21800...
1445
+ [2023-02-26 17:56:25,409][00949] Num frames 21900...
1446
+ [2023-02-26 17:56:25,527][00949] Num frames 22000...
1447
+ [2023-02-26 17:56:25,638][00949] Num frames 22100...
1448
+ [2023-02-26 17:56:25,755][00949] Num frames 22200...
1449
+ [2023-02-26 17:56:25,868][00949] Num frames 22300...
1450
+ [2023-02-26 17:56:25,987][00949] Num frames 22400...
1451
+ [2023-02-26 17:56:26,129][00949] Avg episode rewards: #0: 26.334, true rewards: #0: 11.234
1452
+ [2023-02-26 17:56:26,132][00949] Avg episode reward: 26.334, avg true_objective: 11.234
1453
+ [2023-02-26 17:58:43,553][00949] Replay video saved to /content/train_dir/default_experiment/replay.mp4!