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(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'}
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