markeidsaune
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Browse files- README.md +6 -4
- replay.mp4 +0 -0
- results.json +1 -1
README.md
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verified: false
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---
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# **Q-Learning** Agent playing **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="markeidsaune/q-FrozenLake-v1-8x8-Slippery", 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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verified: false
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---
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# **Q-Learning** Agent playing **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="markeidsaune/q-FrozenLake-v1-8x8-Slippery", 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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evaluate_agent(env, model["max_steps"], model["n_eval_episodes"], model["qtable"], model["eval_seed"])
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```
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replay.mp4
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results.json
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{"env_id": "FrozenLake-v1", "mean_reward": 0.0, "n_eval_episodes": 100, "eval_datetime": "2023-03-
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{"env_id": "FrozenLake-v1", "mean_reward": 0.0, "n_eval_episodes": 100, "eval_datetime": "2023-03-29T15:01:05.046745"}
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