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--- |
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tags: |
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- MountainCarContinuous-v0 |
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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: DDPG |
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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: MountainCarContinuous-v0 |
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type: MountainCarContinuous-v0 |
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metrics: |
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- type: mean_reward |
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value: -1.00 +/- 0.04 |
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name: mean_reward |
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verified: false |
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--- |
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# (CleanRL) **DDPG** Agent Playing **MountainCarContinuous-v0** |
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This is a trained model of a DDPG agent playing MountainCarContinuous-v0. |
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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/ddpg_continuous_action.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[ddpg_continuous_action]" |
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python -m cleanrl_utils.enjoy --exp-name ddpg_continuous_action --env-id MountainCarContinuous-v0 |
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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/nsanghi/MountainCarContinuous-v0-ddpg_continuous_action-seed1/raw/main/ddpg_continuous_action.py |
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curl -OL https://huggingface.co/nsanghi/MountainCarContinuous-v0-ddpg_continuous_action-seed1/raw/main/pyproject.toml |
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curl -OL https://huggingface.co/nsanghi/MountainCarContinuous-v0-ddpg_continuous_action-seed1/raw/main/poetry.lock |
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poetry install --all-extras |
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python ddpg_continuous_action.py --no-cuda --total-timesteps 25000 --learning-starts 5000 --env-id MountainCarContinuous-v0 --track --hf-entity nsanghi --capture-video --save-model --upload-model |
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``` |
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# Hyperparameters |
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```python |
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{'batch_size': 256, |
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'buffer_size': 1000000, |
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'capture_video': True, |
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'cuda': False, |
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'env_id': 'MountainCarContinuous-v0', |
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'exp_name': 'ddpg_continuous_action', |
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'exploration_noise': 0.1, |
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'gamma': 0.99, |
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'hf_entity': 'nsanghi', |
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'learning_rate': 0.0003, |
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'learning_starts': 5000, |
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'noise_clip': 0.5, |
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'policy_frequency': 2, |
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'save_model': True, |
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'seed': 1, |
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'tau': 0.005, |
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'torch_deterministic': True, |
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'total_timesteps': 25000, |
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'track': True, |
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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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