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README.md

@@ -17,7 +17,7 @@ model-index:
       type: HealthGatheringSupreme-v1
     metrics:
     - type: mean_reward
-      value: 0.25 +/- 0.51
+      value: 14.87 +/- 10.43
       name: mean_reward
       verified: false
 ---
@@ -32,7 +32,7 @@ model-index:
 'learning_rate': 0.0005
 'learning_rate_min': 1e-06
 'gamma': 0.99
-'gae_lambda': 0.95
+'gae_lambda': 0.99
 'clip_coef': 0.2
 'total_timesteps': 2000000
 'recurrence': 16

logs/events.out.tfevents.1722001744.tf-notebook-0.66842.0

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+size 433947

logs/events.out.tfevents.1722002228.tf-notebook-0.67002.0

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+size 1202971

model.pt

@@ -1,3 +1,3 @@
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 size 16108110

replay.mp4

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-size 15653
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+size 62297

results.json

@@ -1 +1 @@
-{"env_id": "HealthGatheringSupreme-v1", "mean_reward": 0.2476000040769577, "std_reward": 0.5117013454437256, "n_evaluation_episodes": 10, "eval_datetime": "2024-07-26T03:58:27.613666"}
+{"env_id": "HealthGatheringSupreme-v1", "mean_reward": 14.868197441101074, "std_reward": 10.425899505615234, "n_evaluation_episodes": 10, "eval_datetime": "2024-07-26T14:20:09.596163"}