PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
Hyperparameters
{'seed': 1
'env_id': 'LunarLander-v2'
'total_timesteps': 100000
'num_envs': 8
'num_steps': 128
'gamma': 0.99
'gae_lambda': 0.95
'learning_rate': 0.0003
'clip_range': 0.2
'value_loss_coef': 0.5
'entropy_loss_coef': 0.01
'max_grad_norm': 0.5
'update_epochs': 4
'mini_batch_size': 64
'eval_freq': 10
'no_cuda': False
'repo_id': 'jrauch/ppo-{env}'}
Evaluation results
- mean_reward on LunarLander-v2self-reported-26.75 +/- 72.19