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- W2020681710 abstract "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." @default.
- W2020681710 created "2016-06-24" @default.
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- W2020681710 date "2014-01-01" @default.
- W2020681710 modified "2023-09-27" @default.
- W2020681710 title "Nonasymptotic Mean-Field Games" @default.
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- W2020681710 doi "https://doi.org/10.3182/20140824-6-za-1003.01869" @default.
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