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Poster
Boosting for Control of Dynamical Systems
Naman Agarwal · Nataly Brukhim · Elad Hazan · Zhou Lu

Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT) @
in Poster Session 2 »

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.

Keywords: Planning and Control · Boosting / Ensemble Methods · Online Learning / Bandits · Planning, Control, and Multiagent Learning

Author Information

Naman Agarwal (Google Research)
Nataly Brukhim (Princeton University)
Elad Hazan (Princeton University)
Zhou Lu (Princeton University)

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