Boosting for Control of Dynamical Systems
Naman Agarwal,u00a0Nataly Brukhim,u00a0Elad Hazan,u00a0Zhou Lu
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.
