Workshop on Mean Field Games on Networks

Mean Field Game (MFG) theory studies strategic decision problems in large populations of interacting agents, which is now widely applied in economics, financial markets, engineering, social science, and many other areas. The generalization of classical mean field game theory to the study of problems on networks that exhibit heterogeneity, bounded local connections, dynamic dependence, and uncertainties in structure is extremely important in terms of theoretical development and practical applications; it is the focus of the proposed workshop.

The objective of this workshop is to bring together researchers in applied mathematics, mean field games, network science, network games, and systems and control theory to exchange ideas and to work on the extensions of mean field game theory to dynamic game problems on heterogeneous large-scale networks. The expected outcome of the workshop is the significant development of the subject and consequently its enhanced progress in terms of mathematical theory, computational algorithms, and the applications methodologies of MFG on general networks. The workshop will offer a platform to present current results and stimulate discussions on the open challenges in this emerging field.

Title Speaker Datesort descending
Controlling Human Microbiota Yang-Yu Liu October 26, 2021 - 7:15am
Epidemic Model-Based Benchmark for Optimal Control on Networks Yaroslav V. Salii October 26, 2021 - 8:15am
Graphon mean field systems: large population and long time limits Erhan Bayraktar October 26, 2021 - 9:00am
Describing interacting particle systems via partial differential equations and graphons Fabio Coppini October 26, 2021 - 11:37am
Long time limits and concentration bounds for graphon mean field systems Ruoyu Wu October 26, 2021 - 12:30pm
Local dynamics for large sparse networks of interacting diffusions Daniel Lacker October 26, 2021 - 12:44pm
Networked Mean Field Games with Elements of Robustness and Learning Tamer Başar October 27, 2021 - 8:50am
Solving dynamic user equilibrium by mean field routing game with explicit congestion dynamics Theophile Cabannes October 27, 2021 - 11:30am
Linear quadratic evacuation mean-field game models with negative definite state cost matrices Roland Malhamé October 27, 2021 - 12:30pm
Understanding data and agents' interaction patterns in large networks using GNNs Joao Saude October 27, 2021 - 1:45pm
Weak solutions to the master equation of a potential mean field game François Delarue October 28, 2021 - 7:15am
Learning to control networked-coupled subsystems with unknown dynamics Aditya Mahajan October 28, 2021 - 8:15am
Graphon games within the framework of Fubini extensions René Carmona October 28, 2021 - 9:00am
Graphon Mean Field Games and the GMFG Equations Peter Caines October 28, 2021 - 11:30am
Gradient estimate of HJB and its applications in Graphon Mean Field Game Qingshuo Song October 28, 2021 - 12:30pm
On Critical nodes for Linear Quadratic Gaussian Graphon Mean Field Games Rinel Foguen Tchuendom October 28, 2021 - 1:30pm
Mean-Field Game for Collective Decision-Making in Honeybees via Switched Systems Dario Bauso October 29, 2021 - 7:15am
Featured Graphons with Applications to SIR Models Alex Dunyak October 29, 2021 - 8:15am
Graphon spectral decompositions for LQG control and games Shuang Gao October 29, 2021 - 9:15am
A case study on stochastic games on large graphs in mean field and sparse regimes Agathe Soret October 29, 2021 - 11:30am
On nonlocal interactions in mean field games - Part 1 Levon Nurbekyan October 29, 2021 - 12:30pm
On nonlocal interactions in mean field games - Part 2 Levon Nurbekyan October 29, 2021 - 12:30pm
Mitigating Epidemics: Perspectives from Stackelberg Mean Field Games and Graphon Games Mathieu Lauriere October 29, 2021 - 1:45pm