Decoding mean field games from population and environment observations by Gaussian processes-Reference-Cited by-同舟云学术

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Decoding mean field games from population and environment observations by Gaussian processes

Published:2024-07 Issue: Volume:508 Page:112978
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Guo Jinyan,Mou Chenchen,Yang Xianjin^ORCID,Zhou Chao

Publisher

Elsevier BV

Reference56 articles.

1. Mean field games: numerical methods;Achdou;SIAM J. Numer. Anal.,2010

2. Mean field games and applications: numerical aspects;Achdou,2020

3. Iterative strategies for solving linearized discrete mean field games systems;Achdou;Netw. Heterog. Media,2012

4. Kernels for vector-valued functions: a review;Alvarez;Found. Trends Mach. Learn.,2012

5. On the implementation of a primal-dual algorithm for second order time-dependent mean field games with local couplings;Briceño-Arias;ESAIM Proc. Surv.,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A bilevel optimization method for inverse mean-field games^*;Inverse Problems;2024-09-13

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