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: -21.26 +/- 54.73
      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': 'ppo_lunarlander'

'seed': 1

'torch_deterministic': True

'cuda': True

'track': False

'wandb_project_name': 'cleanRL'

'wandb_entity': None

'capture_video': True

'env_id': 'LunarLander-v2'

'total_timesteps': 300000

'learning_rate': 0.00025

'num_envs': 4

'num_steps': 300

'anneal_lr': True

'gae': True

'gamma': 0.99

'gae_lambda': 0.95

'num_minibatches': 4

'update_epochs': 4

'norm_adv': True

'clip_coef': 0.2

'clip_vloss': True

'ent_coef': 0.01

'vf_coef': 0.5

'max_grad_norm': 0.5

'target_kl': None

'repo_id': 'pdx97/Lunarlander-v2_Unit8_part1'

'batch_size': 1200

'minibatch_size': 300}

  ```