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: -40.01 +/- 76.54
      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': 42069
'capture_video': True
'learning_rate': 0.0003
'eps': 1e-05
'num_steps': 1024
'total_timesteps': 2500000
'anneal_lr': True
'gae': True
'gamma': 0.999
'gae_lambda': 0.95
'update_epochs': 4
'num_minibatches': 4
'clip_coef': 0.2
'norm_adv': True
'clip_vloss': True
'ent_coef': 0.01
'vf_coef': 0.5
'max_grad_norm': 0.5
'target_kl': None
'batch_size': 8192
'minibatch_size': 2048
'env_id': 'LunarLander-v2'}
  ```