metadata
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: >-
i used the PPO MlpPolicy model architecture, with the defaults from the
notebook
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metrics:
- type: mean_reward
value: 263.70 +/- 17.36
name: mean_reward
verified: false
i used the PPO MlpPolicy model architecture, with the defaults from the notebook Agent playing LunarLander-v2
This is a trained model of a i used the PPO MlpPolicy model architecture, with the defaults from the notebook agent playing LunarLander-v2 using the stable-baselines3 library.
Usage (with Stable-baselines3)
TODO: Add your code
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...