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q-FrozenLake-v1-4x4-noSlippery

Reinforcement Learning
FrozenLake-v1-4x4-no_slippery
q-learning
custom-implementation
Eval Results (legacy)
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Q-Learning Agent playing FrozenLake-v1

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

Usage 

model = load_from_hub(repo_id="Jereeli/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")

# Muista lisätä samat asetukset joilla malli koulutettiin
env = gym.make(model["env_id"], map_name="4x4", is_slippery=False)
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Evaluation results

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