Buckets:
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: 247.66 +/- 27.25
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 your code
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...
Xet Storage Details
- Size:
- 784 Bytes
- Xet hash:
- f5cdc5d6416379ea3c7b2807fb79a6d9fc9793e0dd55b270d2eb79bb8f6fc108
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.