PPO Agent Playing LunarLander-v3
This is a trained model of a PPO agent playing LunarLander-v3.
Mean reward: -159.71 +/- 101.60
Hyperparameters
{'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-v3',
'total_timesteps': 50000,
'learning_rate': 0.00025,
'num_envs': 4,
'num_steps': 64,
'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': 'J-76gbjhdfs/ppo-LunarLander-v3-custom'}