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README.md

@@ -10,7 +10,7 @@ model-index:
   results:
   - metrics:
     - type: mean_reward
-      value: 0.43 +/- 0.50
+      value: 0.38 +/- 0.49
       name: mean_reward
     task:
       type: reinforcement-learning
@@ -20,13 +20,6 @@ model-index:
       type: FrozenLake-v1-8x8
 ---
 
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   # **Q-Learning** Agent playing1
   This is a trained model of a **Q-Learning** agent playing 
 
@@ -34,9 +27,9 @@ model-index:
 
   ```python
   
-  model = load_from_hub(repo_id="lucasbertola/q-FrozenLake-v1-4x4-noSlipper", filename="q-learning.pkl")
+  model = load_from_hub(repo_id="lucasbertola/q-FrozenLake-v1-8x8-Slipper", filename="q-learning.pkl")
 
-  # Don't forget to check if you need to add additional attributes (is_slippery=False etc)
+  # Don't forget to check if you need to add additional attributes (is_slippery=True etc)
   env = gym.make(model["env_id"])
   ```
   

results.json

@@ -1 +1 @@
-{"env_id": "FrozenLake-v1", "mean_reward": 0.43, "n_eval_episodes": 10, "eval_datetime": "2023-06-25T16:12:51.450606"}
+{"env_id": "FrozenLake-v1", "mean_reward": 0.37933333333333336, "n_eval_episodes": 1500, "eval_datetime": "2023-06-25T17:08:46.428335"}