---
tag:
- LunarLander-v2
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: PPO
  results:
  - metrics:
    - type: mean_reward
      value: -121.77 +/- 30.58
      name: mean_reward
    task:
      type: reinforcement-learning
      name: reinforcement-learning
    dataset:
      name: LunarLander-v2
      type: LunarLander-v2
---

    # 使用PPO智能体来玩 LunarLander-v2
    
    这是一个使用PPO训练有素的模型玩 LunarLander-v2.
    要学习编写你自己的PPO智能体并训练它, 
    请查阅深度强化学习课程第8单元: https://github.com/huggingface/deep-rl-class/tree/main/unit8
    
    # 超参数
    ```python
    {'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': 50000
'learning_rate': 0.00025
'num_envs': 4
'num_steps': 128
'anneal_lr': True
'gae': True
'gamma': 0.99
'gae_lambda': 0.95
'num_minibatches': 4
'update_epochs': 4
'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': 'sun1638650145/PyTorch-PPO-LunarLander-v2'
'batch_size': 512
'minibatch_size': 128}
    ```