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': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'LunarLander-v2'
'total_timesteps': 250000
'learning_rate': 0.0005
'num_envs': 10
'num_steps': 500
'anneal_lr': True
'gae': True
'gamma': 0.99
'gae_lambda': 0.95
'num_minibatches': 20
'update_epochs': 40
'norm_adv': True
'clip_coef': 0.2
'clip_vloss': True
'ent_coef': 0.01
'vf_coef': 0.5
'max_grad_norm': 0.2
'target_kl': 0.2
'repo_id': 'jrad98/lunar_lander_v2_unit8_part1'
'batch_size': 5000
'minibatch_size': 250}
Evaluation results
- mean_reward on LunarLander-v2self-reported81.91 +/- 175.33