A learning algorithm for the Whittle index policy for scheduling web crawlers

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Sep 2019 France Publisher:IEEEJournal:2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton)

Authors: Avrachenkov, Konstantin; Borkar, Vivek;

doi: 10.1109/allerton.2019.8919743

A learning algorithm for the Whittle index policy for scheduling web crawlers

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Abstract

We revisit the Whittle index policy for scheduling web crawlers for ephemeral content proposed in Avrachenkov and Borkar, IEEE Trans. Control of Network Systems 5(1), 2016, and develop a reinforcement learning scheme for it based on LSPE(0). The scheme leverages the known structural properties of the Whittle index policy.

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Keywords

[INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI], [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]

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