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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: 18.80 +/- 1.25 |
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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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## Get Started |
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To use this model, please install the `cleanrl` package with the following command: |
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``` |
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pip install "cleanrl[dqn_atari]" |
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python -m cleanrl_utils.enjoy --exp-name dqn_atari --env-id PongNoFrameskip-v4 |
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``` |
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Please refer to the [documentation](https://docs.cleanrl.dev/get-started/zoo/) for more detail. |
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## Command to reproduce the training |
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```bash |
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curl -OL https://huggingface.co/odiaz1066/PongNoFrameskip-v4-dqn_atari-seed1/raw/main/dqn_atari.py |
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curl -OL https://huggingface.co/odiaz1066/PongNoFrameskip-v4-dqn_atari-seed1/raw/main/pyproject.toml |
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curl -OL https://huggingface.co/odiaz1066/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 --env-id PongNoFrameskip-v4 --track --save-model --capture-video --resume --total-timesteps 0 --upload-model --seed 1 --hf-entity odiaz1066 |
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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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'checkpoint': False, |
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'checkpoint_frequency': 100000, |
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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': 'odiaz1066', |
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'initial_steps': 0, |
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'learning_rate': 0.0001, |
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'learning_starts': 80000, |
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'num_envs': 1, |
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'resume': True, |
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'rotate': False, |
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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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'tau': 1.0, |
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'torch_deterministic': True, |
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'total_timesteps': 0, |
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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': 'lagomorph'} |
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``` |
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