LunarLander-v2 ppo deep-reinforcement-learning reinforcement-learning custom-implementation deep-rl-course 
  # 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': True 'wandb_project_name': 'RL-Spacecraft' 'wandb_entity': 'romano-1783252' 'capture_video': False 'env_id': 'LunarLander-v2' 'total_timesteps': 1000000 'learning_rate': 0.001 'num_envs': 4 'num_steps': 1024 'anneal_lr': True 'gae': True 'gamma': 0.99 'gae_lambda': 0.95 'num_minibatches': 64 'update_epochs': 3 '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': 'MRNH/LunarLander-v2' 'batch_size': 4096 'minibatch_size': 64} ```