Paper Info
Title
A learning algorithm for the Whittle index policy for scheduling web crawlers
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.
Year
DOI
Venue
2019
10.1109/ALLERTON.2019.8919743
2019 57TH ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING (ALLERTON)
Field
DocType
ISSN
Computer science,Scheduling (computing),Processor scheduling,Web crawler,Reinforcement learning,Distributed computing
Conference
2474-0195
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Konstantin Avrachenkov11250126.17
Vivek S. Borkar2974142.14