paper

Learning Linear-Quadratic Regulators Efficiently with only Regret

arXiv:1902.06223

Abstract

We present the first computationally-efficient algorithm with regret for learning in Linear Quadratic Control systems with unknown dynamics. By that, we resolve an open question of Abbasi-Yadkori and Szepesvári (2011) and Dean, Mania, Matni, Recht, and Tu (2018).

Cited by in corpus (1)

Learning Linear-Quadratic Regulators Efficiently with only $\sqrt{T}$ Regret · wovepaper