README.md

metadata

tags:
  - Taxi-v3-4x4
  - q-learning
  - reinforcement-learning
  - custom-implementation
model-index:
  - name: q-FrozenLake-v1-4x4-Slippery
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: Taxi-v3-4x4
          type: Taxi-v3-4x4
        metrics:
          - type: mean_reward
            value: 0.18 +/- 0.38
            name: mean_reward
            verified: false

Q-Learning Agent playing1 Taxi-v3

This is a trained model of a Q-Learning agent playing Taxi-v3 .

Usage

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