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  1. README.md +41 -0
  2. replay.mp4 +0 -0
  3. results.json +1 -0
README.md ADDED
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+ ---
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+ tags:
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+ - FrozenLake-v1-8x8
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+ - q-learning
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+ - reinforcement-learning
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+ - custom-implementation
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+ - Lucas_is_the_best
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+ model-index:
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+ - name: q-FrozenLake-v1-8x8-Slipper
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+ results:
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+ - metrics:
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+ - type: mean_reward
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+ value: 0.04 +/- 0.20
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+ name: mean_reward
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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: FrozenLake-v1-8x8
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+ type: FrozenLake-v1-8x8
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+ ---
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+
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+
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+
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+
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+
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+
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+
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+ # **Q-Learning** Agent playing1
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+ This is a trained model of a **Q-Learning** agent playing
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+
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+ ## Usage
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+
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+ ```python
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+
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+ model = load_from_hub(repo_id="lucasbertola/q-FrozenLake-v1-4x4-noSlipper", filename="q-learning.pkl")
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+
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+ # Don't forget to check if you need to add additional attributes (is_slippery=False etc)
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+ env = gym.make(model["env_id"])
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+ ```
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+
replay.mp4 ADDED
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results.json ADDED
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+ {"env_id": "FrozenLake-v1", "mean_reward": 0.04, "n_eval_episodes": 10, "eval_datetime": "2023-06-25T16:10:00.700770"}