Im, Sungjin, Moseley, Benjamin, Xu, Chenyang, and Zhang, Ruilong. Online State Exploration: Competitive Worst Case and Learning-Augmented Algorithms. Retrieved from https://par.nsf.gov/biblio/10479863.
Im, Sungjin, Moseley, Benjamin, Xu, Chenyang, and Zhang, Ruilong.
"Online State Exploration: Competitive Worst Case and Learning-Augmented Algorithms". Country unknown/Code not available: Machine Learning and Knowledge Discovery in Databases. https://par.nsf.gov/biblio/10479863.
@article{osti_10479863,
place = {Country unknown/Code not available},
title = {Online State Exploration: Competitive Worst Case and Learning-Augmented Algorithms},
url = {https://par.nsf.gov/biblio/10479863},
abstractNote = {},
journal = {},
publisher = {Machine Learning and Knowledge Discovery in Databases},
author = {Im, Sungjin and Moseley, Benjamin and Xu, Chenyang and Zhang, Ruilong},
}
Warning: Leaving National Science Foundation Website
You are now leaving the National Science Foundation website to go to a non-government website.
Website:
NSF takes no responsibility for and exercises no control over the views expressed or the accuracy of
the information contained on this site. Also be aware that NSF's privacy policy does not apply to this site.