Quantifying the Cost of Learning in Queueing Systems

Neural Information Processing Systems 

Queueing systems are widely applicable stochastic models with use cases in communication networks, healthcare, service systems, etc. Although their optimal control has been extensively studied, most existing approaches assume perfect knowledge of the system parameters.

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