tags:

• FrozenLake-v1-4x4-no_slippery
• q-learning
• reinforcement-learning
• custom-implementation
  model-index:
• name: q-FrozenLake-v1-4x4-noSlippery
  results:
  • task:
    type: reinforcement-learning
    name: reinforcement-learning
    dataset:
    name: FrozenLake-v1-4x4-no_slippery
    type: FrozenLake-v1-4x4-no_slippery
    metrics:
    • type: mean_reward
      value: 1.00 +/- 0.00
      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

model = load_from_hub(repo_id="SafetyMary/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"])