Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Xxmlala/DRL-Course with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Xxmlala/DRL-Course with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Xxmlala/DRL-Course", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download ppo-LunarLander-v2/system_info.txt from Xxmlala/DRL-Course: direct link, hf CLI and curl.
- Browser
- Download file 248 Bytes
-
https://huggingface.co/Xxmlala/DRL-Course/resolve/main/ppo-LunarLander-v2/system_info.txt
- Command line
-
hf download hf://Xxmlala/DRL-Course/ppo-LunarLander-v2/system_info.txt
-
curl -L -o system_info.txt https://huggingface.co/Xxmlala/DRL-Course/resolve/main/ppo-LunarLander-v2/system_info.txt
248 Bytes
| - OS: Linux-5.15.109+-x86_64-with-glibc2.31 # 1 SMP Fri Jun 9 10:57:30 UTC 2023 | |
| - Python: 3.10.12 | |
| - Stable-Baselines3: 2.0.0a5 | |
| - PyTorch: 2.0.1+cu118 | |
| - GPU Enabled: True | |
| - Numpy: 1.22.4 | |
| - Cloudpickle: 2.2.1 | |
| - Gymnasium: 0.28.1 | |
| - OpenAI Gym: 0.25.2 | |