Edit model card

PPO Agent Playing LunarLander-v2

This is a trained model of a PPO agent playing LunarLander-v2.

Hyperparameters

{'exp_name': 'main'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': True
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'LunarLander-v2'
'total_timesteps': 10000000
'learning_rate': 0.0005
'num_envs': 32
'num_steps': 256
'anneal_lr': True
'gamma': 0.99
'gae_lambda': 0.98
'num_minibatches': 4
'update_epochs': 8
'norm_adv': True
'clip_coef': 0.2
'clip_vloss': True
'ent_coef': 0.01
'vf_coef': 0.5
'max_grad_norm': 0.5
'target_kl': None
'repo_id': 'LOGQS/ppo-LunarLander-v2'
'batch_size': 8192
'minibatch_size': 2048}
Downloads last month

-

Downloads are not tracked for this model. How to track
Video Preview
loading

Evaluation results