Q-Learning Agent playing1 FrozenLake-v1

This is a trained model of a Q-Learning agent playing FrozenLake-v1 with no slippery. It leverages the Gymnasium environment, useful to get acquainted with Q-Learning. Very easy but useful to understand the basic concepts.

Usage

import gymnasium as gym

from huggingface_sb3 import load_from_hub

model = load_from_hub(repo_id="Mattizza/q-FrozenLake-v1-4x4-noSlippery_v0__DeepRLCourse", filename="q-learning.pkl")
env = gym.make(model["env_id"], is_slippery=False, map_name='4x4')
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Evaluation results

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