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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: -147.57 +/- 73.26
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'
'anneal_lr': True
'clip_vloss': True
'gae': True
'gamma': 0.99
'ent_coeff': 0.01
'val_coeff': 0.5
'max_grad_norm': 0.5
'target_kl': None
'gae_lambda': 0.95
'learning_rate': 0.0001
'seed': 1993
'n_envs': 4
'total_timesteps': 25000
'n_timesteps': 32
'capture_video': False
'norm_adv': True
'clip_coef': 0.2
'mini_batch_size': 4
'epochs': 4}
```
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