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--- |
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tags: |
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- FrozenLake-v1-4x4 |
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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-FrozenLake-v1-4x4-Slippery_ex2 |
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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: FrozenLake-v1-4x4 |
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type: FrozenLake-v1-4x4 |
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metrics: |
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- type: mean_reward |
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value: 0.72 +/- 0.45 |
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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 **FrozenLake-v1** |
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This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** . |
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## Usage |
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```python |
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model = load_from_hub(repo_id="Gumibit/q-FrozenLake-v1-4x4-noSlippery_ex2", 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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