InMDev/q-FrozenLake-v1-4x4-noSlippery

Q-Learning Agent playing1 FrozenLake-v1

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

our Q-Learning agent is going to navigate from the starting state (S) to the goal state (G) by walking only on frozen tiles (F) and avoid holes (H).

Usage

model = load_from_hub(repo_id="InMDev/q-FrozenLake-v1-4x4-noSlippery", 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"])