metadata
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: 238.02 +/- 15.91
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.
Usage (with Stable-baselines3)
TODO: Add code
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...
Training and Eval Notebook
The guided training and eval notebook to create this model can be found on my GitHub