README.md

---
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: -26.75 +/- 72.19
      name: mean_reward
      verified: false
---

  # PPO Agent Playing LunarLander-v2

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

  # Hyperparameters
  ```python
  {'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}'}
  ```