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README.md
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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: Taxi-v3-Q-Learning
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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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# **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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## Usage
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```python
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model = load_from_hub(repo_id="majid2001/q-Taxi-v3", filename="q-learning.pkl")
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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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