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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: q-Taxi-v3
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: Taxi-v3
+      type: Taxi-v3
+    metrics:
+    - type: mean_reward
+      value: 7.52 +/- 2.62
+      name: mean_reward
+      verified: false
+---
+
+# **Q-Learning** Agent playing **Taxi-v3**
+This is a trained model of a **Q-Learning** agent playing **Taxi-v3**.
+
+## Usage
+
+```python
+model = load_from_hub(repo_id="0xtimi/q-Taxi-v3", filename="q-learning.pkl")
+
+env = gym.make(model["env_id"])
+```

q-learning.pkl

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+oid sha256:9a17cb08c35de5c8e94178da7ea6e8f21fb0d8b314dabbabc5c2febe8f11bb0c
+size 24570

replay.mp4

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+oid sha256:a616792ec3531d1906b81408382d1c51b42c428441d9e7dfcb84fe2080cd5bd1
+size 123547

results.json

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+{"env_id": "Taxi-v3", "mean_reward": 7.52, "n_eval_episodes": 100, "eval_datetime": "2025-09-03T19:00:15.222612"}