|
---
|
|
library_name: stable-baselines3
|
|
tags:
|
|
- LunarLander-v2
|
|
- deep-reinforcement-learning
|
|
- reinforcement-learning
|
|
- stable-baselines3
|
|
model-index:
|
|
- name: PPO
|
|
results:
|
|
- task:
|
|
type: reinforcement-learning
|
|
name: reinforcement-learning
|
|
dataset:
|
|
name: LunarLander-v2
|
|
type: LunarLander-v2
|
|
metrics:
|
|
- type: mean_reward
|
|
value: 279.31 +/- 15.70
|
|
name: mean_reward
|
|
verified: false
|
|
---
|
|
|
|
# **PPO** Agent playing **LunarLander-v2**
|
|
This is a trained model of a **PPO** agent playing **LunarLander-v2**
|
|
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
|
|
|
|
## Usage (with Stable-baselines3)
|
|
TODO: Add your code
|
|
|
|
|
|
```python
|
|
from stable_baselines3 import ...
|
|
from huggingface_sb3 import load_from_hub
|
|
|
|
...
|
|
```
|
|
|