Type
ArticleAuthors
Gomes, Diogo A.
Voskanyan, Vardan K.
KAUST Department
Applied Mathematics and Computational Science ProgramComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Date
2016-04-21Online Publication Date
2016-04-21Print Publication Date
2016-01Permanent link to this record
http://hdl.handle.net/10754/609458
Metadata
Show full item recordAbstract
In this paper, we consider mean-field games where the interaction of each player with the mean field takes into account not only the states of the players but also their collective behavior. To do so, we develop a random variable framework that is particularly convenient for these problems. We prove an existence result for extended mean-field games and establish uniqueness conditions. In the last section, we consider the Master Equation and discuss properties of its solutions.Citation
Extended Deterministic Mean-Field Games 2016, 54 (2):1030 SIAM Journal on Control and OptimizationSponsors
Both authors were supported by KAUST baseline and start-up funds and KAUST SRI, Center for Uncertainty Quantification in Computational Science and Engineering.arXiv
1305.2600Additional Links
http://epubs.siam.org/doi/10.1137/130944503ae974a485f413a2113503eed53cd6c53
10.1137/130944503