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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
Second Order Methods for Bandit Optimization and Control
Arun Suggala, Y. Jennifer Sun, Praneeth Netrapalli +1
Bandit convex optimization (BCO) is a general framework for online decision making under uncertainty. While tight regret bounds for general convex losses have been established, exi…