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 results.json from yDiffraction/Reinforcement-Learning: direct link, hf CLI and curl.
- Browser
- Download file 164 Bytes
-
https://huggingface.co/yDiffraction/Reinforcement-Learning/resolve/main/results.json
- Command line
-
hf download hf://yDiffraction/Reinforcement-Learning/results.json
-
curl -L -o results.json https://huggingface.co/yDiffraction/Reinforcement-Learning/resolve/main/results.json
164 Bytes
| {"mean_reward": 266.8452047519139, "std_reward": 16.124903709684975, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2026-07-28T13:08:27.051388"} |