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