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: -30.85 +/- 140.48
      name: mean_reward
      verified: false
---

  # PPO Agent Playing LunarLander-v2

  This is a trained model of a PPO agent playing LunarLander-v2.
    
  # Hyperparameters
  ```python
  {'exp_name': 'debug'
'gym_id': 'LunarLander-v2'
'hface_repo': 'EExe/my_ppo_LunarLand'
'learning_rate': 0.00025
'seed': 42
'total_timesteps': 2000000
'num_envs': 4
'num_steps': 1024
'gamma': 0.999
'gae_lambda': 0.98
'num_minibatches': 64
'num_epochs': 10
'clip_coeff': 0.2
'ent_coeff': 0.1
'vf_coeff': 0.1
'max_gradient_norm': 0.5
'target_kl': 0.015}
  ```