README.md

metadata

tags:
  - BreakoutNoFrameskip-v4
  - dqn
  - reinforcement-learning
  - custom-implementation
model-index:
  - name: dqn-BreakoutNoFrameSkip-v4_cl
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: BreakoutNoFrameskip-v4
          type: BreakoutNoFrameskip-v4
        metrics:
          - type: mean_reward
            value: 4.10 +/- 2.34
            name: mean_reward
            verified: false

Q-Learning Agent playing1 BreakoutNoFrameskip-v4

This is a trained model of a Q-Learning agent playing BreakoutNoFrameskip-v4 .

Usage

model = load_from_hub(repo_id="Arch4ngel/dqn-BreakoutNoFrameSkip-v4_cl", filename="dqn.pkl")

# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = gym.make(model["env_id"])