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README.md
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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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{'env_id': 'FrozenLake-v1',
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'max_steps': 99,
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'n_training_episodes': 10000,
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'n_eval_episodes': 100,
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'eval_seed': [],
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'learning_rate': 0.7,
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'gamma': 0.95,
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'max_epsilon': 1.0,
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'min_epsilon': 0.05,
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'decay_rate': 0.0005,
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-
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[0.73509189, 0. , 0.81450625, 0.77378094],
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[0.77378094, 0.857375 , 0.77378094, 0.81450625],
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[0.81450625, 0. , 0.77378094, 0.77378094],
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[0.77378094, 0.81450625, 0. , 0.73509189],
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[0. , 0. , 0. , 0. ],
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[0. , 0.9025 , 0. , 0.81450625],
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[0. , 0. , 0. , 0. ],
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[0.81450625, 0. , 0.857375 , 0.77378094],
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[0.81450625, 0.9025 , 0.9025 , 0. ],
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[0.857375 , 0.95 , 0. , 0.857375 ],
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[0. , 0. , 0. , 0. ],
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[0. , 0. , 0. , 0. ],
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[0. , 0.9025 , 0.95 , 0.857375 ],
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[0.9025 , 0.95 , 1. , 0.9025 ],
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[0. , 0. , 0. , 0. ]])}
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verified: false
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---
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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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{'env_id': 'FrozenLake-v1',
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'max_steps': 99,
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+
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'n_training_episodes': 10000,
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'n_eval_episodes': 100,
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'eval_seed': [],
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'learning_rate': 0.7,
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'gamma': 0.95,
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'max_epsilon': 1.0,
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'min_epsilon': 0.05,
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'decay_rate': 0.0005,
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'qtable': array([[
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0.73509189, 0.77378094, 0.77378094, 0.73509189],
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[0.73509189, 0. , 0.81450625, 0.77378094],
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[0.77378094, 0.857375 , 0.77378094, 0.81450625],
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[0.81450625, 0. , 0.77378094, 0.77378094],
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[0.77378094, 0.81450625, 0. , 0.73509189],
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[0. , 0. , 0. , 0. ],
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[0. , 0.9025 , 0. , 0.81450625],
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[0. , 0. , 0. , 0. ],
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[0.81450625, 0. , 0.857375 , 0.77378094],
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[0.81450625, 0.9025 , 0.9025 , 0. ],
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[0.857375 , 0.95 , 0. , 0.857375 ],
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[0. , 0. , 0. , 0. ],
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[0. , 0. , 0. , 0. ],
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[0. , 0.9025 , 0.95 , 0.857375 ],
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[0.9025 , 0.95 , 1. , 0.9025 ],
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[0. , 0. , 0. , 0. ]])}
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