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.gitattributes

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 *.safetensors filter=lfs diff=lfs merge=lfs -text
 saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+tags:
+- Taxi-v3
+- q-learning
+- reinforcement-learning
+- custom-implementation
+model-index:
+- name: Taxi_v3
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: Taxi-v3
+      type: Taxi-v3
+    metrics:
+    - type: mean_reward
+      value: 8.09 +/- 2.62
+      name: mean_reward
+      verified: false
+---
+
+    # **Q-Learning** Agent playing1 **Taxi-v3**
+    This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
+
+    ## Usage
+
+    ```python
+
+    model = load_from_hub(repo_id="WilliamADSP/Taxi_v3", filename="q-learning.pkl")
+
+    # Don't forget to check if you need to add additional attributes (is_slippery=False etc)
+    env = gym.make(model["env_id"])
+    ```
+    

q-learning.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:31bfb568013ad3b92591c2d8cb30adf854e13e4e56c1eb854dd0bb403b205c9f
+size 24356

results.json

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+{"env_id": "Taxi-v3", "mean_reward": 8.085, "n_eval_episodes": 200, "eval_datetime": "2023-04-26T12:54:28.460562"}