Nonasymptotic mean-field games

Hamidou Tembine

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


Mean-field games have been studied under the assumption of very large number of players. For such large systems, the basic idea consists to approximate large games by a stylized game model with a continuum of players. The approach has been shown to be useful in some applications. However, the stylized game model with continuum of decision-makers is rarely observed in practice and the approximation proposed in the asymptotic regime is meaningless for networked systems with few entities. In this paper we propose a mean-field framework that is suitable not only for large systems but also for a small world with few number of entities. The applicability of the proposed framework is illustrated through a dynamic auction with asymmetric valuation distributions.
Original languageEnglish (US)
Title of host publicationIFAC Proceedings Volumes
PublisherElsevier BV
Number of pages6
ISBN (Print)9783902823625
StatePublished - Oct 8 2014

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01


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