@inproceedings{4e74c1ca5a1c41489b750795cc1d2199,
title = "Boosting for control of dynamical systems",
abstract = "We study the question of how to aggregate controllers for dynamical systems in order to improve their performance. To this end, we propose a framework of boosting for online control. Our main result is an efficient boosting algorithm that combines weak controllers into a provably more accurate one. Empirical evaluation on a host of control settings supports our theoretical findings.",
author = "Naman Agarwal and Nataly Brukhim and Elad Hazan and Zhou Lu",
note = "Publisher Copyright: {\textcopyright} ICML 2020. All rights reserved.; 37th International Conference on Machine Learning, ICML 2020 ; Conference date: 13-07-2020 Through 18-07-2020",
year = "2020",
language = "English (US)",
series = "37th International Conference on Machine Learning, ICML 2020",
publisher = "International Machine Learning Society (IMLS)",
pages = "84--91",
editor = "Hal Daume and Aarti Singh",
booktitle = "37th International Conference on Machine Learning, ICML 2020",
}