---
tags:
- LunarLander-v2
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
  results:
  - task:
      type: reinforcement-learning
      name: reinforcement-learning
    dataset:
      name: LunarLander-v2
      type: LunarLander-v2
    metrics:
    - type: mean_reward
      value: 251.74 +/- 17.34
      name: mean_reward
      verified: false
---

  # PPO Agent Playing LunarLander-v2

  This is a trained model of a PPO agent playing LunarLander-v2.
    
  # Hyperparameters
  ```python
  {'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}
  ```