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: -157.06 +/- 48.98
      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'
'n_envs': 8
'n_steps': 128
'epochs': 4
'lr': 1e-05
'gamma': 0.99
'n_minibatches': 4
'batch_size': 1024
'minibatch_size': 256
'total_timesteps': 10000000
'n_iterations': 9765
'norm_adv': True
'epsilon': 0.2
'clip_vloss': True
'vf_coef': 0.5
'ent_coef': 0.01}
  ```