Boosting for Control of Dynamical Systems

Naman Agarwal · Nataly Brukhim · Elad Hazan · Zhou Lu

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

[ Abstract ] [ Join Zoom
Please do not share or post zoom links


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.

Chat is not available.