Mathieu Laurière
Mathieu Laurière
Postdoctoral Research Associate, Princeton University
Verified email at princeton.edu - 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
502014
On the system of partial differential equations arising in mean field type control
Y Achdou, M Lauriere
arXiv preprint arXiv:1503.05044, 2015
372015
Mean field type control with congestion
Y Achdou, M Laurière
Applied Mathematics & Optimization 73 (3), 393-418, 2016
222016
Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods
R Carmona, M Laurière, Z Tan
arXiv preprint arXiv:1910.04295, 2019
202019
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
arXiv preprint arXiv:1908.01613, 2019
202019
Convergence Analysis of Machine Learning Algorithms for the Numerical Solution of Mean Field Control and Games: I--The Ergodic Case
R Carmona, M Laurière
arXiv preprint arXiv:1907.05980, 2019
20*2019
COVID-19 pandemic control: balancing detection policy and lockdown intervention under ICU sustainability
A Charpentier, R Elie, M Laurière, VC Tran
arXiv preprint arXiv:2005.06526, 2020
162020
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
162016
Approximate Fictitious Play for Mean Field Games
R Elie, J Pérolat, M Laurière, M Geist, O Pietquin
arXiv preprint arXiv:1907.02633, 2019
132019
Dynamic programming for mean-field type control
M Laurière, O Pironneau
Journal of Optimization Theory and Applications 169 (3), 902-924, 2016
132016
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
122019
Mean field type control with congestion (II): An augmented Lagrangian method
Y Achdou, M Laurière
Applied Mathematics & Optimization 74 (3), 535-578, 2016
122016
Stochastic Graphon Games: I. The Static Case
R Carmona, D Cooney, C Graves, M Lauriere
arXiv preprint arXiv:1911.10664, 2019
112019
Mean field control and mean field game models with several populations
A Bensoussan, T Huang, M Laurière
arXiv preprint arXiv:1810.00783, 2018
112018
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
102019
A class of finite-dimensional numerically solvable McKean-Vlasov control problems
A Balata, C Huré, M Laurière, H Pham, I Pimentel
ESAIM: Proceedings and Surveys 65, 114-144, 2019
102019
Robust Bell inequalities from communication complexity
S Laplante, M Laurière, A Nolin, J Roland, G Senno
Quantum 2, 72, 2018
102018
A class of finite-dimensional numerically solvable McKean-Vlasov control problems
A Balata, C Huré, M Laurière, H Pham, I Pimentel
arXiv preprint arXiv:1803.00445, 2018
102018
Information cost of quantum communication protocols.
I Kerenidis, M Lauriere, F Le Gall, M Rennela
Quantum Information & Computation 16 (3&4), 181-196, 2016
102016
On the Convergence of Model Free Learning in Mean Field Games.
R Elie, J Pérolat, M Laurière, M Geist, O Pietquin
AAAI, 7143-7150, 2020
82020
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