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---
library_name: stable-baselines3
tags:
- LunarLander-v3
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v3
type: LunarLander-v3
metrics:
- type: mean_reward
value: 279.56 +/- 18.47
name: mean_reward
verified: false
---
# **PPO** Agent playing **LunarLander-v3**
This is a trained model of a **PPO** agent playing **LunarLander-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
```python
from stable_baselines3 import PPO
from huggingface_sb3 import load_from_hub
model_filename = load_from_hub(your_repo_id, your_filename)
model = PPO.load(model_filename)
env = gym.make({env_id}, render_mode="human")
obs, info = env.reset()
done = False
while not done:
action, _states = model.predict(obs, deterministic=True)
obs, rewards, done, truncated, info = env.step(action)
env.render()
env.close()
```
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