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README.md

@@ -22,15 +22,14 @@ model-index:
 ---
 
 # sl_Sprout **Q-Learning** Agent playing **FrozenLake-v1**
-This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
+This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1**.
 
 ## Usage
 
 ```python
 
-model = load_from_hub(repo_id="AllIllusion/q-FrozenLake-v1-4x4-no_slippery", filename="sl_TabularModel_FrozenLake-v1.pkl")
+model = load_from_hub(repo_id="AllIllusion/q-FrozenLake-v1-4x4-no_slippery", filename="q-learning.pkl")
 
 # Don't forget to check if you need to add additional attributes (is_slippery=False etc)
 env = gym.make(model["FrozenLake-v1"])
-            ```
-        
+```

q-learning.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fbd5e77deacc03969fbd6275c3d53d1f691ce052db933634efde1d8176b77c65
+size 808

results.json

@@ -1 +1 @@
-{"env_id": "FrozenLake-v1", "numEpisode_Eval": 100, "mean_reward": 1.12, "std_reward": 0.0, "datetime_Eval": "2025-04-25T22:21:54.058547"}
+{"env_id": "FrozenLake-v1", "n_eval_episodes": 200, "mean_reward": 1.12, "std_reward": 0.0, "eval_datetime": "2025-05-01T14:12:35.983248"}

sl_TabularModel_FrozenLake-v1.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a3ff7ee3210604b83e7d4dbac64fb7448a6ea171d63c6ac8914696e91be84765
-size 808
+oid sha256:f916a52b48a4e5619425c8659f489f423d4836876a33786f67aee57833b8b5e2
+size 2333