Workshop: Mean-field games

April 11-15, 2022

Program
 

Monday, April 11, 2022

Meeting room(s) : 6214/6254

09:20 - 09:30
Opening Remarks
09:30 - 10:30
Peter Edwin Caines
(McGill University)
Vertexon-Graphons and Embedded GMFG Systems
Abstract
10:30 - 11:00
Coffee break
Room(s) 6245
11:00 - 12:00
Daniel Lacker
(Columbia University)
A case study on stochastic games on large graphs in mean field and sparse regimes
Abstract

Presentation slides
12:00 - 14:00
Lunch
14:00 - 15:00
Asaf Cohen
(University of Michigan)
Markovian Equilibria In Ergodic Many-Player Games and Mean-Field Games
Abstract

Presentation slides
15:00 - 16:00
Charles Bertucci
(École Polytechnique - CNRS)
Monotone solutions for the mean field games master equations
Abstract

 

Tuesday, April 12, 2022

Meeting room(s) : 6214/6254

09:00 - 10:00
Pierre-Louis Lions
(Collège de France)
Complete" Analysis of the Master Equation: an Example
Presentation slides
10:00 - 10:10
Sarah Perrin
(Univ. Lille / Inria Scool)
Generalization in Mean Field Games by Learning Master Policies
Abstract
10:10 - 10:20
Zachary Bezemek
(Boston University)
Moderate deviations for fully coupled multiscale weakly interacting particle systems
Abstract

Presentation slides
10:20 - 10:30
Lane Chun Yeung
(Columbia University)
A non-asymptotic perspective on mean field control
Abstract

Presentation slides
10:30 - 11:00
Coffee break
Room(s) 6245
11:00 - 12:00
Daniela Tonon
(Università di Padova)
A comparison principle for Hamilton-Jacobi equations on infinite dimensional spaces
Abstract

Presentation slides
12:00 - 14:00
Lunch
14:00 - 15:00
Pierre Cardaliaguet
(Université Paris-Dauphine)
PDE approaches to mean field games with a common noise
Abstract
15:00 - 16:00
Rene Carmona
(Princeton U.)
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning
Abstract

 

Wednesday, April 13, 2022

Meeting room(s) : 6214/6254

09:00 - 10:00
Mathieu Laurière
(NYU Shanghai)
On machine learning methods for mean field master equations
Abstract
10:00 - 10:10
Joe Jackson
(The University of Texas at Austin)
An algebraic rate for the convergence problem in mean field control
Abstract

Presentation slides
10:10 - 10:20
Jiacheng Zhang
(UC berkeley)
A mean field framework for the Stackelberg game: algorithms and sensitivity analysis
Abstract

Presentation slides
10:30 - 11:00
Coffee break
Room(s) 6245
11:00 - 12:00
François Delarue
(Université Nice-Sophia Antipolis)
Common noise via rearranged stochastic heat equation
Abstract

Presentation slides
12:00 - 14:00
Lunch
14:00 - 15:00
Minyi Huang
(Carleton University )
Mean field Stackelberg games and time consistent strategies
Abstract

Presentation notes
15:00 - 15:45
Open problem session

 

Thursday, April 14, 2022

Meeting room(s) : 6214/6254

09:00 - 10:00
Mao Fabrice Djete
(Ecole Polytechnique)
Large population games with interactions through controls and common noise: the closed-loop case
Abstract
10:00 - 10:10
Gokce Dayanikli
(Princeton University)
Optimal Incentives in Mean Field Games: A numerical approach for the epidemic control problem
Abstract
10:10 - 10:20
Cristian Mendico
(University of Rome Tor Vergata)
Asymptotic behavior of solutions to first-order mean field games
Abstract
10:20 - 10:30
Giulia Livieri
(Scuola Normale Superiore)
N -player games and mean field games of moderate interactions
Abstract
10:30 - 11:00
Coffee break
Room(s) 6245
11:00 - 12:00
Ludovic Tangpi
(Princeton University)
Large population games in the weak formulation and their mean field game limits
Abstract
12:00 - 14:00
14:00 - 15:00
Wilfrid Gangbo
(UCLA)
Global well posedness of master equations Mean Field Games
Abstract
15:00 - 16:00
Yuchong Zhang
(University of Toronto)
A mean field game of sequential testing
Abstract

 

Friday, April 15, 2022

Meeting room(s) : 6214/6254

09:30 - 10:30
Alessio Porretta
(Università di Roma Tor Vergata)
Adjoint methods and coupling in time-decay estimates
Abstract
10:30 - 11:00
Coffee break
Room(s) 6245
11:00 - 12:00
Fernando Alvarez
(University of Chicago)
On the structure of the linearization of MFGs with impulse controls
Abstract
12:00 - 14:00
Lunch
14:00 - 15:00
Xin Guo
(UC Berkeley)
Mean field multi agent reinforcement learning: a decentralized network approach
Abstract
15:00 - 16:00
Pierre Cardaliaguet
(Université Paris-Dauphine)
(Colloquium) Some aspects of Mean Field Games
Abstract

Last modified : Tuesday, April 26, 2022 09:11