Edit model card
# PPO Agent Playing LunarLander-v2

This is a trained model of a PPO agent playing LunarLander-v2.
    
# 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': 'LunarLander-v2' 'total_timesteps': 5000000 'learning_rate': 0.001 'num_envs': 32 'num_steps': 512 'anneal_lr': True 'gae': True 'gamma': 0.999 'gae_lambda': 0.97 'num_minibatches': 128 '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': 'utyug1/ppo-LunarLander-v2' 'batch_size': 16384 'minibatch_size': 128} ```

Downloads last month
14
Video Preview
loading

Evaluation results