Reinforcement Learning
stable-baselines3
LunarLander-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use yDiffraction/Reinforcement-Learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use yDiffraction/Reinforcement-Learning with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="yDiffraction/Reinforcement-Learning", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download first/system_info.txt from yDiffraction/Reinforcement-Learning: direct link, hf CLI and curl.
- Browser
- Download file 245 Bytes
-
https://huggingface.co/yDiffraction/Reinforcement-Learning/resolve/main/first/system_info.txt
- Command line
-
hf download hf://yDiffraction/Reinforcement-Learning/first/system_info.txt
-
curl -L -o system_info.txt https://huggingface.co/yDiffraction/Reinforcement-Learning/resolve/main/first/system_info.txt
245 Bytes
| - OS: Linux-6.6.122+-x86_64-with-glibc2.35 # 1 SMP Thu Apr 30 18:17:14 UTC 2026 | |
| - Python: 3.12.13 | |
| - Stable-Baselines3: 2.9.0 | |
| - PyTorch: 2.11.0+cu128 | |
| - GPU Enabled: True | |
| - Numpy: 2.0.2 | |
| - Cloudpickle: 3.1.2 | |
| - Gymnasium: 1.3.0 | |
| - OpenAI Gym: 0.25.2 | |