Mathieu Laurière
Mathieu Laurière
Visiting Faculty Researcher, Google Brain, Brain Team
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Dynamic programming for mean-field type control
M Laurière, O Pironneau
Comptes Rendus Mathematique 352 (9), 707-713, 2014
612014
On the system of partial differential equations arising in mean field type control
Y Achdou, M Lauriere
arXiv preprint arXiv:1503.05044, 2015
442015
Convergence Analysis of Machine Learning Algorithms for the Numerical Solution of Mean Field Control and Games I: The Ergodic Case
R Carmona, M Laurière
SIAM Journal on Numerical Analysis 59 (3), 1455-1485, 2021
43*2021
Convergence Analysis of Machine Learning Algorithms for the Numerical Solution of Mean Field Control and Games: II -- The Finite Horizon Case
R Carmona, M Laurière
To appear in Annals of Applied Probability (https://arxiv.org/abs/1908.01613), 2019
392019
COVID-19 pandemic control: balancing detection policy and lockdown intervention under ICU sustainability
A Charpentier, R Elie, M Laurière, VC Tran
Mathematical Modelling of Natural Phenomena 15, 57, 2020
362020
Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods
R Carmona, M Laurière, Z Tan
arXiv preprint arXiv:1910.04295, 2019
342019
Mean field type control with congestion
Y Achdou, M Laurière
Applied Mathematics & Optimization 73 (3), 393-418, 2016
302016
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning
R Carmona, M Laurière, Z Tan
arXiv preprint arXiv:1910.12802, 2019
252019
On the implementation of a primal-dual algorithm for second order time-dependent mean field games with local couplings
L Briceño-Arias, D Kalise, Z Kobeissi, M Laurière, AM González, FJ Silva
ESAIM: Proceedings and Surveys 65, 330-348, 2019
242019
On the convergence of model free learning in mean field games
R Elie, J Perolat, M Laurière, M Geist, O Pietquin
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7143-7150, 2020
222020
Mean field games and applications: Numerical aspects
Y Achdou, M Laurière
Mean Field Games, 249-307, 2020
192020
Mean field type control with congestion (II): An augmented Lagrangian method
Y Achdou, M Laurière
Applied Mathematics & Optimization 74 (3), 535-578, 2016
192016
Approximate Fictitious Play for Mean Field Games
R Elie, J Pérolat, M Laurière, M Geist, O Pietquin
arXiv preprint arXiv:1907.02633, 2019
182019
Mean field control and mean field game models with several populations
A Bensoussan, T Huang, M Laurière
arXiv preprint arXiv:1810.00783, 2018
182018
Relative discrepancy does not separate information and communication complexity
L Fontes, R Jain, I Kerenidis, S Laplante, M Laurière, J Roland
ACM Transactions on Computation Theory (TOCT) 9 (1), 4, 2016
172016
Dynamic programming for mean-field type control
M Laurière, O Pironneau
Journal of Optimization Theory and Applications 169 (3), 902-924, 2016
172016
Convergence of large population games to mean field games with interaction through the controls
M Laurière, L Tangpi
arXiv preprint arXiv:2004.08351, 2020
162020
Stochastic Graphon Games: I. The Static Case
R Carmona, D Cooney, C Graves, M Lauriere
arXiv preprint arXiv:1911.10664, 2019
162019
Multipartite Generalization of Quantum Discord
C Radhakrishnan, M Laurière, T Byrnes
Physical Review Letters 124 (11), 110401, 2020
152020
Fictitious play for mean field games: Continuous time analysis and applications
S Perrin, J Pérolat, M Laurière, M Geist, R Elie, O Pietquin
Advances in Neural Information Processing Systems 33, 2020
152020
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