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 done_lunar_lander_v2.zip from DanTim05/study: direct link, hf CLI and curl.
- Browser
- Download file 150 kB
-
https://huggingface.co/DanTim05/study/resolve/main/done_lunar_lander_v2.zip
- Command line
-
hf download hf://DanTim05/study/done_lunar_lander_v2.zip
-
curl -L -o done_lunar_lander_v2.zip https://huggingface.co/DanTim05/study/resolve/main/done_lunar_lander_v2.zip
150 kB
- Xet hash:
- e55fea83b89e358be66f36fe8ca4576b65017d696bdcf13d3c0c854ced09ffe8
- Size of remote file:
- 150 kB
- SHA256:
- 35a9a6272e94d4da67bc38597456824effe84e66c7c99c7df05d5a38d603e9b4
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