PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
Hyperparameters
{'exp_name': 'ppo'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': True
'wandb_project_name': 'ppo-LunarLander-v2'
'wandb_entity': 'sw32-seo'
'capture_video': False
'env_id': 'LunarLander-v2'
'total_timesteps': 50000
'learning_rate': 0.003
'num_envs': 4
'num_steps': 128
'anneal_lr': True
'gae': True
'gamma': 0.999
'gae_lambda': 0.98
'num_minibatches': 4
'update_epochs': 4
'norm_adv': False
'clip_coef': 0.2
'clip_vloss': False
'ent_coef': 0.01
'vf_coef': 0.5
'max_grad_norm': 0.5
'target_kl': None
'repo_id': 'sw32-seo/ppo-LunarLander-v2'
'batch_size': 512
'minibatch_size': 128}
Evaluation results
- mean_reward on LunarLander-v2self-reported62.98 +/- 67.06