IEEE - Institute of Electrical and Electronics Engineers, Inc. - Learning in Mean-Field Games

Author(s): Huibing Yin ; Prashant G. Mehta ; Sean P. Meyn ; Uday V. Shanbhag
Sponsor(s): IEEE Control Systems Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 March 2014
Volume: 59
Page Count: 16
Page(s): 629 - 644
ISSN (Paper): 0018-9286
ISSN (Online): 1558-2523
DOI: 10.1109/TAC.2013.2287733
Regular:

The purpose of this paper is to show how insight obtained from a mean-field model can be used to create an architecture for approximate dynamic programming (ADP) for a certain class of games... View More

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