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cs.LG2024
Tight Rates for Bandit Control Beyond Quadratics
Y. Jennifer Sun, Zhou Lu
Unlike classical control theory, such as Linear Quadratic Control (LQC), real-world control problems are highly complex. These problems often involve adversarial perturbations, ban…
cs.LG2024
Online Control in Population Dynamics
Noah Golowich, Elad Hazan, Zhou Lu +2
The study of population dynamics originated with early sociological works but has since extended into many fields, including biology, epidemiology, evolutionary game theory, and ec…
cs.LG2024
Adaptive Regret for Bandits Made Possible: Two Queries Suffice
Zhou Lu, Qiuyi Zhang, Xinyi Chen +3
Fast changing states or volatile environments pose a significant challenge to online optimization, which needs to perform rapid adaptation under limited observation. In this paper,…