Regret of Queueing Bandits

NeurIPS 2016 Subhashini KrishnasamyRajat SenRamesh JohariSanjay Shakkottai

We consider a variant of the multiarmed bandit problem where jobs queue for service, and service rates of different servers may be unknown. We study algorithms that minimize queue-regret: the (expected) difference between the queue-lengths obtained by the algorithm, and those obtained by a genie-aided matching algorithm that knows exact service rates... (read more)

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