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---
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: 65.54 +/- 73.90
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': 'main'
'seed': 1
'torch_deterministic': True
'cuda': False
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'LunarLander-v2'
'total_timesteps': 700000
'learning_rate': 0.0003
'num_envs': 16
'num_steps': 1024
'anneal_lr': True
'gae': True
'gamma': 0.999
'gae_lambda': 0.98
'num_minibatches': 256
'update_epochs': 2
'norm_adv': True
'clip_coef': 0.2
'clip_vloss': True
'ent_coef': 0.0
'vf_coef': 0.5
'max_grad_norm': 0.5
'target_kl': None
'repo_id': 'TikhonRadkevich/ppo_v2_LunarLander-v2'
'batch_size': 16384
'minibatch_size': 64}
```
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