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README.md

@@ -15,7 +15,7 @@ model-index:
       type: doom_health_gathering_supreme
     metrics:
     - type: mean_reward
-      value: 16.78 +/- 4.67
+      value: 14.73 +/- 4.56
       name: mean_reward
       verified: false
 ---

replay.mp4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:21ca11d2ad2dfa15a797f79297af88482451bf6965fdfb8bc144d90614787b39
-size 32950546
+oid sha256:222bc36f66fe45af3bd2c7b3626e94d418d48d3a903ab89d1ca2799d53f273c9
+size 28961573

sf_log.txt

@@ -5442,3 +5442,193 @@ vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has be
 [2023-02-25 21:30:00,554][00219] Avg episode rewards: #0: 44.874, true rewards: #0: 16.775
 [2023-02-25 21:30:00,557][00219] Avg episode reward: 44.874, avg true_objective: 16.775
 [2023-02-25 21:31:35,010][00219] Replay video saved to /content/train_dir/default_experiment/replay.mp4!
+[2023-02-25 21:31:38,070][00219] The model has been pushed to https://huggingface.co/msgerasyov/rl_course_vizdoom_health_gathering_supreme
+[2023-02-25 21:31:40,245][00219] Loading existing experiment configuration from /content/train_dir/default_experiment/config.json
+[2023-02-25 21:31:40,247][00219] Overriding arg 'num_workers' with value 1 passed from command line
+[2023-02-25 21:31:40,250][00219] Adding new argument 'no_render'=True that is not in the saved config file!
+[2023-02-25 21:31:40,253][00219] Adding new argument 'save_video'=True that is not in the saved config file!
+[2023-02-25 21:31:40,254][00219] Adding new argument 'video_frames'=1000000000.0 that is not in the saved config file!
+[2023-02-25 21:31:40,260][00219] Adding new argument 'video_name'=None that is not in the saved config file!
+[2023-02-25 21:31:40,261][00219] Adding new argument 'max_num_frames'=100000 that is not in the saved config file!
+[2023-02-25 21:31:40,263][00219] Adding new argument 'max_num_episodes'=10 that is not in the saved config file!
+[2023-02-25 21:31:40,264][00219] Adding new argument 'push_to_hub'=True that is not in the saved config file!
+[2023-02-25 21:31:40,268][00219] Adding new argument 'hf_repository'='msgerasyov/rl_course_vizdoom_health_gathering_supreme' that is not in the saved config file!
+[2023-02-25 21:31:40,269][00219] Adding new argument 'policy_index'=0 that is not in the saved config file!
+[2023-02-25 21:31:40,271][00219] Adding new argument 'eval_deterministic'=False that is not in the saved config file!
+[2023-02-25 21:31:40,272][00219] Adding new argument 'train_script'=None that is not in the saved config file!
+[2023-02-25 21:31:40,274][00219] Adding new argument 'enjoy_script'=None that is not in the saved config file!
+[2023-02-25 21:31:40,275][00219] Using frameskip 1 and render_action_repeat=4 for evaluation
+[2023-02-25 21:31:40,303][00219] RunningMeanStd input shape: (3, 72, 128)
+[2023-02-25 21:31:40,306][00219] RunningMeanStd input shape: (1,)
+[2023-02-25 21:31:40,337][00219] ConvEncoder: input_channels=3
+[2023-02-25 21:31:40,431][00219] Conv encoder output size: 512
+[2023-02-25 21:31:40,437][00219] Policy head output size: 512
+[2023-02-25 21:31:40,468][00219] Loading state from checkpoint /content/train_dir/default_experiment/checkpoint_p0/checkpoint_000007466_30580736.pth...
+[2023-02-25 21:31:40,958][00219] Num frames 100...
+[2023-02-25 21:31:41,067][00219] Num frames 200...
+[2023-02-25 21:31:41,184][00219] Num frames 300...
+[2023-02-25 21:31:41,296][00219] Num frames 400...
+[2023-02-25 21:31:41,424][00219] Num frames 500...
+[2023-02-25 21:31:41,540][00219] Num frames 600...
+[2023-02-25 21:31:41,674][00219] Num frames 700...
+[2023-02-25 21:31:41,841][00219] Avg episode rewards: #0: 17.680, true rewards: #0: 7.680
+[2023-02-25 21:31:41,844][00219] Avg episode reward: 17.680, avg true_objective: 7.680
+[2023-02-25 21:31:41,903][00219] Num frames 800...
+[2023-02-25 21:31:42,013][00219] Num frames 900...
+[2023-02-25 21:31:42,126][00219] Num frames 1000...
+[2023-02-25 21:31:42,245][00219] Num frames 1100...
+[2023-02-25 21:31:42,363][00219] Num frames 1200...
+[2023-02-25 21:31:42,483][00219] Num frames 1300...
+[2023-02-25 21:31:42,597][00219] Num frames 1400...
+[2023-02-25 21:31:42,716][00219] Num frames 1500...
+[2023-02-25 21:31:42,838][00219] Num frames 1600...
+[2023-02-25 21:31:42,958][00219] Num frames 1700...
+[2023-02-25 21:31:43,070][00219] Num frames 1800...
+[2023-02-25 21:31:43,184][00219] Num frames 1900...
+[2023-02-25 21:31:43,337][00219] Avg episode rewards: #0: 21.920, true rewards: #0: 9.920
+[2023-02-25 21:31:43,339][00219] Avg episode reward: 21.920, avg true_objective: 9.920
+[2023-02-25 21:31:43,361][00219] Num frames 2000...
+[2023-02-25 21:31:43,483][00219] Num frames 2100...
+[2023-02-25 21:31:43,597][00219] Num frames 2200...
+[2023-02-25 21:31:43,760][00219] Num frames 2300...
+[2023-02-25 21:31:43,976][00219] Num frames 2400...
+[2023-02-25 21:31:44,140][00219] Num frames 2500...
+[2023-02-25 21:31:44,397][00219] Num frames 2600...
+[2023-02-25 21:31:44,588][00219] Num frames 2700...
+[2023-02-25 21:31:44,865][00219] Num frames 2800...
+[2023-02-25 21:31:45,077][00219] Num frames 2900...
+[2023-02-25 21:31:45,278][00219] Num frames 3000...
+[2023-02-25 21:31:45,462][00219] Num frames 3100...
+[2023-02-25 21:31:45,688][00219] Num frames 3200...
+[2023-02-25 21:31:45,936][00219] Num frames 3300...
+[2023-02-25 21:31:46,118][00219] Num frames 3400...
+[2023-02-25 21:31:46,292][00219] Num frames 3500...
+[2023-02-25 21:31:46,470][00219] Num frames 3600...
+[2023-02-25 21:31:46,639][00219] Num frames 3700...
+[2023-02-25 21:31:46,967][00219] Num frames 3800...
+[2023-02-25 21:31:47,107][00219] Avg episode rewards: #0: 32.713, true rewards: #0: 12.713
+[2023-02-25 21:31:47,112][00219] Avg episode reward: 32.713, avg true_objective: 12.713
+[2023-02-25 21:31:47,420][00219] Num frames 3900...
+[2023-02-25 21:31:47,881][00219] Num frames 4000...
+[2023-02-25 21:31:48,301][00219] Num frames 4100...
+[2023-02-25 21:31:48,730][00219] Num frames 4200...
+[2023-02-25 21:31:49,382][00219] Num frames 4300...
+[2023-02-25 21:31:49,744][00219] Num frames 4400...
+[2023-02-25 21:31:50,103][00219] Num frames 4500...
+[2023-02-25 21:31:50,485][00219] Num frames 4600...
+[2023-02-25 21:31:50,894][00219] Num frames 4700...
+[2023-02-25 21:31:51,299][00219] Num frames 4800...
+[2023-02-25 21:31:51,492][00219] Num frames 4900...
+[2023-02-25 21:31:51,638][00219] Avg episode rewards: #0: 31.097, true rewards: #0: 12.347
+[2023-02-25 21:31:51,644][00219] Avg episode reward: 31.097, avg true_objective: 12.347
+[2023-02-25 21:31:51,772][00219] Num frames 5000...
+[2023-02-25 21:31:51,964][00219] Num frames 5100...
+[2023-02-25 21:31:52,190][00219] Num frames 5200...
+[2023-02-25 21:31:52,325][00219] Num frames 5300...
+[2023-02-25 21:31:52,436][00219] Num frames 5400...
+[2023-02-25 21:31:52,558][00219] Num frames 5500...
+[2023-02-25 21:31:52,674][00219] Num frames 5600...
+[2023-02-25 21:31:52,795][00219] Num frames 5700...
+[2023-02-25 21:31:52,908][00219] Num frames 5800...
+[2023-02-25 21:31:53,023][00219] Num frames 5900...
+[2023-02-25 21:31:53,161][00219] Avg episode rewards: #0: 30.140, true rewards: #0: 11.940
+[2023-02-25 21:31:53,163][00219] Avg episode reward: 30.140, avg true_objective: 11.940
+[2023-02-25 21:31:53,206][00219] Num frames 6000...
+[2023-02-25 21:31:53,334][00219] Num frames 6100...
+[2023-02-25 21:31:53,453][00219] Num frames 6200...
+[2023-02-25 21:31:53,573][00219] Num frames 6300...
+[2023-02-25 21:31:53,686][00219] Num frames 6400...
+[2023-02-25 21:31:53,819][00219] Num frames 6500...
+[2023-02-25 21:31:53,930][00219] Num frames 6600...
+[2023-02-25 21:31:54,047][00219] Num frames 6700...
+[2023-02-25 21:31:54,159][00219] Num frames 6800...
+[2023-02-25 21:31:54,276][00219] Num frames 6900...
+[2023-02-25 21:31:54,389][00219] Num frames 7000...
+[2023-02-25 21:31:54,505][00219] Num frames 7100...
+[2023-02-25 21:31:54,623][00219] Num frames 7200...
+[2023-02-25 21:31:54,744][00219] Num frames 7300...
+[2023-02-25 21:31:54,864][00219] Num frames 7400...
+[2023-02-25 21:31:54,984][00219] Num frames 7500...
+[2023-02-25 21:31:55,105][00219] Num frames 7600...
+[2023-02-25 21:31:55,226][00219] Num frames 7700...
+[2023-02-25 21:31:55,345][00219] Num frames 7800...
+[2023-02-25 21:31:55,461][00219] Num frames 7900...
+[2023-02-25 21:31:55,583][00219] Num frames 8000...
+[2023-02-25 21:31:55,719][00219] Avg episode rewards: #0: 34.283, true rewards: #0: 13.450
+[2023-02-25 21:31:55,721][00219] Avg episode reward: 34.283, avg true_objective: 13.450
+[2023-02-25 21:31:55,769][00219] Num frames 8100...
+[2023-02-25 21:31:55,886][00219] Num frames 8200...
+[2023-02-25 21:31:55,998][00219] Num frames 8300...
+[2023-02-25 21:31:56,114][00219] Num frames 8400...
+[2023-02-25 21:31:56,229][00219] Num frames 8500...
+[2023-02-25 21:31:56,357][00219] Num frames 8600...
+[2023-02-25 21:31:56,469][00219] Num frames 8700...
+[2023-02-25 21:31:56,578][00219] Num frames 8800...
+[2023-02-25 21:31:56,693][00219] Num frames 8900...
+[2023-02-25 21:31:56,812][00219] Num frames 9000...
+[2023-02-25 21:31:56,930][00219] Num frames 9100...
+[2023-02-25 21:31:57,042][00219] Num frames 9200...
+[2023-02-25 21:31:57,159][00219] Num frames 9300...
+[2023-02-25 21:31:57,270][00219] Num frames 9400...
+[2023-02-25 21:31:57,388][00219] Num frames 9500...
+[2023-02-25 21:31:57,501][00219] Num frames 9600...
+[2023-02-25 21:31:57,618][00219] Num frames 9700...
+[2023-02-25 21:31:57,730][00219] Num frames 9800...
+[2023-02-25 21:31:57,808][00219] Avg episode rewards: #0: 36.454, true rewards: #0: 14.026
+[2023-02-25 21:31:57,810][00219] Avg episode reward: 36.454, avg true_objective: 14.026
+[2023-02-25 21:31:57,909][00219] Num frames 9900...
+[2023-02-25 21:31:58,021][00219] Num frames 10000...
+[2023-02-25 21:31:58,136][00219] Num frames 10100...
+[2023-02-25 21:31:58,248][00219] Num frames 10200...
+[2023-02-25 21:31:58,365][00219] Num frames 10300...
+[2023-02-25 21:31:58,478][00219] Num frames 10400...
+[2023-02-25 21:31:58,589][00219] Num frames 10500...
+[2023-02-25 21:31:58,707][00219] Num frames 10600...
+[2023-02-25 21:31:58,829][00219] Num frames 10700...
+[2023-02-25 21:31:58,943][00219] Num frames 10800...
+[2023-02-25 21:31:59,057][00219] Num frames 10900...
+[2023-02-25 21:31:59,175][00219] Num frames 11000...
+[2023-02-25 21:31:59,290][00219] Num frames 11100...
+[2023-02-25 21:31:59,408][00219] Num frames 11200...
+[2023-02-25 21:31:59,520][00219] Num frames 11300...
+[2023-02-25 21:31:59,631][00219] Num frames 11400...
+[2023-02-25 21:31:59,742][00219] Num frames 11500...
+[2023-02-25 21:31:59,854][00219] Avg episode rewards: #0: 38.057, true rewards: #0: 14.432
+[2023-02-25 21:31:59,856][00219] Avg episode reward: 38.057, avg true_objective: 14.432
+[2023-02-25 21:31:59,920][00219] Num frames 11600...
+[2023-02-25 21:32:00,036][00219] Num frames 11700...
+[2023-02-25 21:32:00,147][00219] Num frames 11800...
+[2023-02-25 21:32:00,267][00219] Num frames 11900...
+[2023-02-25 21:32:00,382][00219] Num frames 12000...
+[2023-02-25 21:32:00,494][00219] Num frames 12100...
+[2023-02-25 21:32:00,607][00219] Num frames 12200...
+[2023-02-25 21:32:00,736][00219] Num frames 12300...
+[2023-02-25 21:32:00,861][00219] Num frames 12400...
+[2023-02-25 21:32:00,975][00219] Num frames 12500...
+[2023-02-25 21:32:01,094][00219] Num frames 12600...
+[2023-02-25 21:32:01,207][00219] Num frames 12700...
+[2023-02-25 21:32:01,340][00219] Num frames 12800...
+[2023-02-25 21:32:01,503][00219] Num frames 12900...
+[2023-02-25 21:32:01,670][00219] Num frames 13000...
+[2023-02-25 21:32:01,840][00219] Num frames 13100...
+[2023-02-25 21:32:02,001][00219] Num frames 13200...
+[2023-02-25 21:32:02,171][00219] Num frames 13300...
+[2023-02-25 21:32:02,341][00219] Num frames 13400...
+[2023-02-25 21:32:02,519][00219] Num frames 13500...
+[2023-02-25 21:32:02,695][00219] Num frames 13600...
+[2023-02-25 21:32:02,826][00219] Avg episode rewards: #0: 39.828, true rewards: #0: 15.162
+[2023-02-25 21:32:02,828][00219] Avg episode reward: 39.828, avg true_objective: 15.162
+[2023-02-25 21:32:02,941][00219] Num frames 13700...
+[2023-02-25 21:32:03,101][00219] Num frames 13800...
+[2023-02-25 21:32:03,269][00219] Num frames 13900...
+[2023-02-25 21:32:03,443][00219] Num frames 14000...
+[2023-02-25 21:32:03,620][00219] Num frames 14100...
+[2023-02-25 21:32:03,789][00219] Num frames 14200...
+[2023-02-25 21:32:03,988][00219] Num frames 14300...
+[2023-02-25 21:32:04,170][00219] Num frames 14400...
+[2023-02-25 21:32:04,353][00219] Num frames 14500...
+[2023-02-25 21:32:04,530][00219] Num frames 14600...
+[2023-02-25 21:32:04,716][00219] Num frames 14700...
+[2023-02-25 21:32:04,839][00219] Avg episode rewards: #0: 38.834, true rewards: #0: 14.734
+[2023-02-25 21:32:04,842][00219] Avg episode reward: 38.834, avg true_objective: 14.734
+[2023-02-25 21:33:34,041][00219] Replay video saved to /content/train_dir/default_experiment/replay.mp4!