PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
Hyperparameters
{'env_id': 'LunarLander-v2'
'seed': 1
'num_envs': 16
'pi_hidden_layers': (64
64)
'v_hidden_layers': (64
64)
'learning_rate': 0.0003
'anneal_lr': False
'total_timesteps': 1000000
'num_steps': 1024
'gamma': 0.999
'gae_lambda': 0.98
'num_minibatches': 256
'num_epochs': 4
'norm_advantage': False
'clip_coef': 0.2
'clip_vloss': False
'vf_coef': 1.0
'ent_coef': 0.01
'max_grad_norm': 0.5
'target_kl': None}
Evaluation results
- mean_reward on LunarLander-v2self-reported251.74 +/- 17.34