IEEE - Institute of Electrical and Electronics Engineers, Inc. - Hierarchical Reinforcement Learning and Parallel Computing Applied to the k-server Problem

Author(s): Mademerson Leandro Costa ; Carlos Alberto Araujo Padilha ; Jorge Dantas Melo ; Adriao Duarte Doria Neto
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 October 2016
Volume: 14
Page(s): 4,351 - 4,357
ISSN (Paper): 1548-0992
DOI: 10.1109/TLA.2016.7786315
Regular:

In this paper was proposed an algorithm based on Hierarchical Reinforcement Learning (HRL) and Parallel Computing to solve an online computing problem, the K-Server Problem (KSP). The size of the... View More

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