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arXiv · 1902.08721

Online Control with Adversarial Disturbances

Naman Agarwal·Brian Bullins·Elad Hazan·Sham M. Kakade·Karan Singh
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Abstract

We study the control of a linear dynamical system with adversarial disturbances (as opposed to statistical noise). The objective we consider is one of regret: we desire an online control procedure that can do nearly as well as that of a procedure that has full knowledge of the disturbances in hindsight. Our main result is an efficient algorithm that provides nearly tight regret bounds for this problem. From a technical standpoint, this work generalizes upon previous work in two main aspects: our model allows for adversarial noise in the dynamics, and allows for general convex costs.

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BibTeXRIS

Naman Agarwal, Brian Bullins, Elad Hazan, Sham M. Kakade, Karan Singh. 2019-02-23. Online Control with Adversarial Disturbances. https://arxiv.org/abs/1902.08721

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