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README.md

@@ -7,7 +7,7 @@ model-index:
   - metrics:
     - name: mean_reward
       type: mean_reward
-      value: 273.11 +/- 18.97
+      value: 269.36 +/- 28.12
     task:
       name: LunarLander-v2
       type: reinforcement-learning
@@ -70,4 +70,4 @@ The model was trained using the following hyperparameters:
 ```
 
 ## Results
-The trained agent achieved a mean reward of 273.11 +/- 18.97 over 10 evaluation episodes. 
+The trained agent achieved a mean reward of 269.36 +/- 28.12 over 10 evaluation episodes. 

results.json

@@ -1,7 +1,7 @@
 {
   "env_id": "LunarLander-v2",
-  "mean_reward": 273.1133084,
-  "std_reward": 18.969926691445075,
+  "mean_reward": 269.35587849999996,
+  "std_reward": 28.121482914355596,
   "n_eval_episodes": 10,
-  "eval_datetime": "2024-09-23T21:37:57.911995"
+  "eval_datetime": "2024-09-23T22:23:46.583076"
 }