Reinforcement Learning
stable-baselines3
LunarLander-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use DanTim05/study with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use DanTim05/study with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="DanTim05/study", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download results.json from DanTim05/study: direct link, hf CLI and curl.
- Browser
- Download file 165 Bytes
-
https://huggingface.co/DanTim05/study/resolve/main/results.json
- Command line
-
hf download hf://DanTim05/study/results.json
-
curl -L -o results.json https://huggingface.co/DanTim05/study/resolve/main/results.json
165 Bytes
| {"mean_reward": 261.29160450000006, "std_reward": 18.405498667104006, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2026-02-19T09:40:02.715993"} |