---
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: 213.83 +/- 3.18
      name: mean_reward
      verified: false
---

  # PPO Agent Playing LunarLander-v2

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

  # Hyperparameters
  hp_seed: 5678<br />hp_total_timesteps: 500000<br />hp_learning_rate: 0.001<br />hp_min_learning_rate: 1.5e-06<br />hp_num_envs: 12<br />hp_num_steps: 256<br />hp_anneal_lr: True<br />hp_gae: True<br />hp_gamma: 0.99<br />hp_gae_lambda: 0.95<br />hp_minibatch_size: 256<br />hp_update_epochs: 4<br />hp_norm_adv: True<br />hp_clip_coef: 0.2<br />hp_clip_vloss: True<br />hp_ent_coef: 0.01<br />hp_vf_coef: 0.5<br />hp_max_grad_norm: 0.5<br />hp_target_kl: None