README.md

metadata

tags:
  - FrozenLake-v1-8x8
  - q-learning
  - reinforcement-learning
  - custom-implementation
model-index:
  - name: q-FrozenLake-v1-8x8
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: FrozenLake-v1-8x8
          type: FrozenLake-v1-8x8
        metrics:
          - type: mean_reward
            value: 0.47 +/- 0.50
            name: mean_reward
            verified: false

Q-Learning Agent playing FrozenLake-v1-8x8

This is a trained model of a Q-Learning agent playing FrozenLake-v1-8x8 .

Usage

model = load_from_hub(repo_id="ws11yrin/q-FrozenLake-v1-8x8", 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"])