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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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--- |
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# (CleanRL) **PPO** Agent Playing **CartPole-v1** |
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This is a trained model of a PPO agent playing CartPole-v1. |
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The model was trained by using [CleanRL](https://github.com/vwxyzjn/cleanrl) and the training code can be |
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found [here](https://github.com/vwxyzjn/cleanrl/blob/master/cleanrl/ppo.py). |
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# Hyperparameters |
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```python |
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{'anneal_lr': True, |
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'batch_size': 512, |
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'capture_video': True, |
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'clip_coef': 0.2, |
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'clip_vloss': True, |
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'cuda': False, |
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'ent_coef': 0.01, |
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'env_id': 'CartPole-v1', |
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'exp_name': 'ppo', |
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'gae_lambda': 0.95, |
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'gamma': 0.99, |
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'hf_repo_id': 'cleanrl/ppo', |
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'learning_rate': 0.00025, |
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'max_grad_norm': 0.5, |
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'minibatch_size': 128, |
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'norm_adv': True, |
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'num_envs': 4, |
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'num_minibatches': 4, |
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'num_steps': 128, |
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'save_model': True, |
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'seed': 1, |
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'target_kl': None, |
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'torch_deterministic': True, |
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'total_timesteps': 500000, |
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'track': False, |
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'update_epochs': 4, |
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'vf_coef': 0.5, |
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'wandb_entity': None, |
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'wandb_project_name': 'cleanRL'} |
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``` |
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