README.md

metadata

tags:
  - CartPole-v1
  - q-learning
  - reinforcement-learning
  - custom-implementation
model-index:
  - name: q_learning-Cartpole
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: CartPole-v1
          type: CartPole-v1
        metrics:
          - type: mean_reward
            value: 248.33 +/- 140.57
            name: mean_reward
            verified: false

Q-Learning Agent playing1 CartPole-v1

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

Usage

model = load_from_hub(repo_id="erfan1380/q_learning-Cartpole", 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"])