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--- |
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tags: |
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- CartPole-v1 |
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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: CartPole-v1 |
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type: CartPole-v1 |
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metrics: |
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- type: mean_reward |
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value: 496.06 +/- 0.00 |
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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 **CartPole-v1** |
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This is a trained model of a DQN agent playing CartPole-v1. |
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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/CP_DQN_norm_40.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[CP_DQN_norm_40]" |
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python -m cleanrl_utils.enjoy --exp-name CP_DQN_norm_40 --env-id CartPole-v1 |
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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/pfunk/CartPole-v1-CP_DQN_norm_40-seed888/raw/main/dqn.py |
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curl -OL https://huggingface.co/pfunk/CartPole-v1-CP_DQN_norm_40-seed888/raw/main/pyproject.toml |
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curl -OL https://huggingface.co/pfunk/CartPole-v1-CP_DQN_norm_40-seed888/raw/main/poetry.lock |
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poetry install --all-extras |
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python dqn.py --track --wandb-entity pfunk --wandb-project-name dqpn --capture-video true --save-model true --upload-model true --hf-entity pfunk --exp-name CP_DQN_norm_40 --max-gradient-norm 40.0 --seed 888 |
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``` |
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# Hyperparameters |
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```python |
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{'alg_type': 'dqn.py', |
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'batch_size': 256, |
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'buffer_size': 300000, |
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'capture_video': True, |
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'cuda': True, |
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'end_e': 0.1, |
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'env_id': 'CartPole-v1', |
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'exp_name': 'CP_DQN_norm_40', |
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'exploration_fraction': 0.2, |
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'gamma': 1.0, |
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'hf_entity': 'pfunk', |
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'learning_rate': 0.0001, |
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'learning_starts': 1000, |
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'max_gradient_norm': 40.0, |
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'save_model': True, |
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'seed': 888, |
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'start_e': 1.0, |
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'target_network_frequency': 100, |
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'target_tau': 1.0, |
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'torch_deterministic': True, |
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'total_timesteps': 500000, |
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'track': True, |
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'train_frequency': 1, |
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'upload_model': True, |
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'wandb_entity': 'pfunk', |
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'wandb_project_name': 'dqpn'} |
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``` |
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