readme: ---
  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': 'vwxyzjn/ppo2',
   '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'}
  ```
      