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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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- - custom-implementation
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- model-index:
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- - name: Q-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: 7.56 +/- 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 playing1 **Taxi-v3**
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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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-
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- model = load_from_hub(repo_id="Arikkod/Q-Taxi-V3", 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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-