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JulioSnchezD
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Taxi-v3

Reinforcement Learning
FrozenLake-v1-4x4-no_slippery
q-learning
custom-implementation
Eval Results
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Q-Learning Agent playing1 FrozenLake-v1

This is a trained model of a Q-Learning agent playing FrozenLake-v1 .

Usage

model = load_from_hub(repo_id="JulioSnchezD/Taxi-v3", filename="q-learning.pkl")

Don't forget to check if you need to add additional attributes (is_slippery=False etc)

env = gym.make(model["env_id"])

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Reinforcement Learning
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Evaluation results

  • mean_reward on FrozenLake-v1-4x4-no_slippery
    self-reported
    1.00 +/- 0.00
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