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biwako/q-FrozenLake-v1-4x4-noSlippery
q-FrozenLake-v1-4x4-noSlippery is a reinforcement learning model from biwako. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product.
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
Downloads · 30 days
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Updated Apr 29, 2023
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From the Hugging Face model README
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
{'env_id': 'FrozenLake-v1',
'max_steps': 99,
'n_training_episodes': 10000,
'n_eval_episodes': 100,
'eval_seed': [],
'learning_rate': 0.7,
'gamma': 0.95,
'max_epsilon': 1.0,
'min_epsilon': 0.05,
'decay_rate': 0.0005,
'qtable': array([[
0.73509189, 0.77378094, 0.77378094, 0.73509189],
[0.73509189, 0. , 0.81450625, 0.77378094],
[0.77378094, 0.857375 , 0.77378094, 0.81450625],
[0.81450625, 0. , 0.77378094, 0.77378094],
[0.77378094, 0.81450625, 0. , 0.73509189],
[0. , 0. , 0. , 0. ],
[0. , 0.9025 , 0. , 0.81450625],
[0. , 0. , 0. , 0. ],
[0.81450625, 0. , 0.857375 , 0.77378094],
[0.81450625, 0.9025 , 0.9025 , 0. ],
[0.857375 , 0.95 , 0. , 0.857375 ],
[0. , 0. , 0. , 0. ],
[0. , 0. , 0. , 0. ],
[0. , 0.9025 , 0.95 , 0.857375 ],
[0.9025 , 0.95 , 1. , 0.9025 ],
[0. , 0. , 0. , 0. ]])}