Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Dabe/LunarLanderPPO2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Dabe/LunarLanderPPO2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Dabe/LunarLanderPPO2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download Lunar_Lander/system_info.txt from Dabe/LunarLanderPPO2: direct link, hf CLI and curl.
- Browser
- Download file 199 Bytes
-
https://huggingface.co/Dabe/LunarLanderPPO2/resolve/main/Lunar_Lander/system_info.txt
- Command line
-
hf download hf://Dabe/LunarLanderPPO2/Lunar_Lander/system_info.txt
-
curl -L -o system_info.txt https://huggingface.co/Dabe/LunarLanderPPO2/resolve/main/Lunar_Lander/system_info.txt
199 Bytes
| - OS: Linux-5.10.147+-x86_64-with-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022 | |
| - Python: 3.8.10 | |
| - Stable-Baselines3: 1.7.0 | |
| - PyTorch: 1.13.1+cu116 | |
| - GPU Enabled: True | |
| - Numpy: 1.22.4 | |
| - Gym: 0.21.0 | |