PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
Hyperparameters
{'experiment_name': 'final3'
'env_name': 'LunarLander-v2'
'learning_rate': 0.0003
'seed': 1
'total_timesteps': 125000
'num_envs': 4
'num_steps': 128
'torch_deterministic': True
'cuda': True
'anneal_lr': True
'gae': True
'gamma': 0.99
'gae_lambda': 0.95
'num_minibatches': 4
'update_epochs': 10
'norm_adv': True
'clip_coef': 0.2
'clip_vloss': True
'ent_coef': 0.01
'vf_coef': 0.5
'max_grad_norm': 0.5
'save_video': True
'batch_size': 512
'mini_batch_size': 128}
Evaluation results
- mean_reward on LunarLander-v2self-reported96.70 +/- 99.97