Rate-Optimal Online Convex Optimization in Adaptive Linear Control

Neural Information Processing Systems 

This general framework encapsulates numerous variations of learning in linear control that have been studied extensively in the literature. When the system parameters are known ahead of time and the costs are fixed and known (convex) quadratics, this amounts to the classical "planning"

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