wlchee/ppo-LunarLander-v2

# PPO Agent Playing CartPole-v1

This is a trained model of a PPO agent playing CartPole-v1.

## Performance
- Mean Reward: 195.00
- Std Reward: 102.41

## Hyperparameters
```python
{'exp_name': 'ppo'

'seed': 1 'torch_deterministic': True 'cuda': True 'track': False 'wandb_project_name': 'cleanRL' 'wandb_entity': None 'capture_video': False 'env_id': 'CartPole-v1' 'total_timesteps': 50000 'learning_rate': 0.00025 'num_envs': 4 'num_steps': 128 'anneal_lr': True 'gae': True 'gamma': 0.99 'gae_lambda': 0.95 'num_minibatches': 4 'update_epochs': 4 'norm_adv': True 'clip_coef': 0.2 'clip_vloss': True 'ent_coef': 0.01 'vf_coef': 0.5 'max_grad_norm': 0.5 'target_kl': None 'repo_id': 'wlchee/ppo-LunarLander-v2' 'hf_token': None 'batch_size': 512 'minibatch_size': 128} ```