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--- |
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tags: |
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- PongNoFrameskip-v4 |
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- deep-reinforcement-learning |
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- reinforcement-learning |
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- custom-implementation |
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library_name: cleanrl |
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model-index: |
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- name: DQN |
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results: |
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- task: |
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type: reinforcement-learning |
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name: reinforcement-learning |
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dataset: |
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name: PongNoFrameskip-v4 |
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type: PongNoFrameskip-v4 |
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metrics: |
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- type: mean_reward |
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value: 17.80 +/- 1.83 |
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name: mean_reward |
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verified: false |
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--- |
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# (CleanRL) **DQN** Agent Playing **PongNoFrameskip-v4** |
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This is a trained model of a DQN agent playing PongNoFrameskip-v4. |
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The model was trained by using [CleanRL](https://github.com/vwxyzjn/cleanrl) and the most up-to-date training code can be |
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found [here](https://github.com/vwxyzjn/cleanrl/blob/master/cleanrl/dqn_atari.py). |
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## Command to reproduce the training |
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```bash |
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curl -OL https://huggingface.co/cleanrl/PongNoFrameskip-v4-dqn_atari-seed1/raw/main/dqn.py |
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curl -OL https://huggingface.co/cleanrl/PongNoFrameskip-v4-dqn_atari-seed1/raw/main/pyproject.toml |
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curl -OL https://huggingface.co/cleanrl/PongNoFrameskip-v4-dqn_atari-seed1/raw/main/poetry.lock |
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poetry install --all-extras |
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python dqn_atari.py --track --capture-video --save-model --upload-model --hf-entity cleanrl --env-id PongNoFrameskip-v4 --seed 1 |
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``` |
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# Hyperparameters |
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```python |
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{'batch_size': 32, |
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'buffer_size': 1000000, |
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'capture_video': True, |
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'cuda': True, |
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'end_e': 0.01, |
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'env_id': 'PongNoFrameskip-v4', |
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'exp_name': 'dqn_atari', |
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'exploration_fraction': 0.1, |
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'gamma': 0.99, |
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'hf_entity': 'cleanrl', |
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'learning_rate': 0.0001, |
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'learning_starts': 80000, |
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'save_model': True, |
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'seed': 1, |
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'start_e': 1, |
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'target_network_frequency': 1000, |
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'torch_deterministic': True, |
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'total_timesteps': 10000000, |
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'track': True, |
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'train_frequency': 4, |
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'upload_model': True, |
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'wandb_entity': None, |
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'wandb_project_name': 'cleanRL'} |
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``` |
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