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kcdharma
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q-FrozenLake-v1-4x4-noSlippery

Reinforcement Learning
FrozenLake-v1-4x4-no_slippery
q-learning
Eval Results
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# **Q-Learning** agent playing **FrozenLake-v1**
## Usage
model = load_from_hub(repo_id="kcdharma/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
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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