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Upload folder using huggingface_hub

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  1. .gitattributes +1 -0
  2. README.md +35 -0
  3. q-learning.pkl +3 -0
  4. replay.mp4 +3 -0
  5. results.json +1 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ replay.mp4 filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ tags:
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+ - Taxi-v3
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+ - q-learning
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+ - reinforcement-learning
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+ - gymnasium
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+ - custom-implementation
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+ model-index:
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+ - name: Q-Learning-Taxi-v3
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+ results:
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+ - task:
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+ type: reinforcement-learning
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+ name: reinforcement-learning
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+ dataset:
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+ name: Taxi-v3
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+ type: Taxi-v3
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+ metrics:
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+ - type: mean_reward
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+ value: 7.54 +/- 2.71
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+ name: mean_reward
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+ verified: false
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+ ---
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+
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+ # Q-Learning Agent Playing Taxi-v3
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+
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+ This is a trained model of a **Q-Learning** agent playing **Taxi-v3**.
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+
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+ ## Usage
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+
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+ ```python
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+ model = load_from_hub(repo_id="giansimone/Q-Learning-Taxi-v3", filename="q-learning.pkl")
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+
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+ env = gym.make(model["env_id"]=", render_mode="rgb_array")
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+ ```
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+
q-learning.pkl ADDED
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+ size 24572
replay.mp4 ADDED
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+ oid sha256:4ec84da946bfef69c77c0680a6fc1c8dc4c1d686bef2c6f3c87fe83fba1cb07f
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+ size 112093
results.json ADDED
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+ {"env_id": "Taxi-v3", "mean_reward": 7.54, "n_eval_episodes": 100, "eval_datetime": "2025-10-03T17:37:53.495016"}