arXiv · 1902.06223
Learning Linear-Quadratic Regulators Efficiently with only $\sqrt{T}$ Regret
Abstract
We present the first computationally-efficient algorithm with $\widetilde O(\sqrt{T})$ regret for learning in Linear Quadratic Control systems with unknown dynamics. By that, we resolve an open question of Abbasi-Yadkori and Szepesv\'ari (2011) and Dean, Mania, Matni, Recht, and Tu (2018).
Explore related subjects
Keep this discovery
Alon Cohen, Tomer Koren, Yishay Mansour. 2019-02-17. Learning Linear-Quadratic Regulators Efficiently with only $\sqrt{T}$ Regret. https://arxiv.org/abs/1902.06223
Cite the original work for its findings. Save a collection to share your selection of sources.