OnlineControlofUnknownTime-VaryingDynamical Systems

Neural Information Processing Systems 

In fact, our algorithm enjoys sublinearadaptive regret bounds, which is a strictly stronger metric than standard regret and is more appropriate fortime-varying systems.

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