README.md

metadata

tags:
  - BreakoutNoFrameskip-v4
  - deep-reinforcement-learning
  - reinforcement-learning
  - custom-implementation
model-index:
  - name: DQN
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: BreakoutNoFrameskip-v4
          type: BreakoutNoFrameskip-v4
        metrics:
          - type: mean_reward
            value: 2.70 +/- 4.12
            name: mean_reward
            verified: false

(CleanRL) DQN Agent Playing BreakoutNoFrameskip-v4

This is a trained model of a DQN agent playing BreakoutNoFrameskip-v4. The model was trained by using CleanRL and the training code can be found here.

Hyperparameters

{'batch_size': 32,
 'buffer_size': 1000000,
 'capture_video': False,
 'cuda': True,
 'end_e': 0.01,
 'env_id': 'BreakoutNoFrameskip-v4',
 'exp_name': 'dqn_atari',
 'exploration_fraction': 0.1,
 'gamma': 0.99,
 'hf_entity': '',
 'learning_rate': 0.0001,
 'learning_starts': 80000,
 'save_model': True,
 'seed': 1,
 'start_e': 1,
 'target_network_frequency': 1000,
 'torch_deterministic': True,
 'total_timesteps': 10000,
 'track': False,
 'train_frequency': 4,
 'upload_model': True,
 'wandb_entity': None,
 'wandb_project_name': 'cleanRL'}