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.gitattributes

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 *.zip 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_Example_v02
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: Taxi-v3
+      type: Taxi-v3
+    metrics:
+    - type: mean_reward
+      value: 7.56 +/- 2.71
+      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="yobellee/Taxi-v3_Example_v02", 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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+oid sha256:a58b15d1966cb5e220c83c7e4bcf9c8d52f856700b6d8afcd93a00e2b9feb11f
+size 24573

replay.mp4

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+oid sha256:7747c27384c2c86e9950d35cb7708a7ce3768806e64f4c0ee7cdf3dce3f7328e
+size 126939

results.json

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+{"env_id": "Taxi-v3", "mean_reward": 7.56, "n_eval_episodes": 100, "eval_datetime": "2025-06-07T12:41:23.930105"}