README.md

metadata

tags:
  - FrozenLake-v1-4x4
  - q-learning
  - reinforcement-learning
  - custom-implementation
model-index:
  - name: q-FrozenLake-v1-4x4-Slippery
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: FrozenLake-v1-4x4
          type: FrozenLake-v1-4x4
        metrics:
          - type: mean_reward
            value: 0.73 +/- 0.44
            name: mean_reward
            verified: false

Q-Learning Agent playing1 FrozenLake-v1

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

Usage

import gym
from huggingface_sb3 import load_from_hub 

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

env = gym.make("FrozenLake-v1", map_name="4x4", is_slippery=True)