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# PPO Agent Playing LunarLander-v2

This is a trained model of a PPO agent playing LunarLander-v2.
    
# Hyperparameters
```python
{'exp_name': 'ppo'

'gym_id': 'LunarLander-v2' 'learning_rate': 0.00025 'seed': 1 'total_timesteps': 200000 'torch_deterministic': True 'cuda': True 'track': True 'wandb_project_name': 'ppo-implementation-details' 'wandb_entity': None 'capture_video': True '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': 'dfm794/ppo-LunarLander-v2-unit8' 'batch_size': 512 'minibatch_size': 128} ```

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