Lauriere, Mathieu

14 publications

JMLR 2025 Actor-Critic Learning for Mean-Field Control in Continuous Time Noufel Frikha, Maximilien Germain, Mathieu Lauriere, Huyen Pham, Xuanye Song

ICLRW 2025 An Efficient On-Policy Deep Learning Framework for Stochastic Optimal Control Mengjian Hua, Mathieu Lauriere, Eric Vanden-Eijnden

ICML 2025 Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean Field Games Antonio Ocello, Daniil Tiapkin, Lorenzo Mancini, Mathieu Lauriere, Eric Moulines

ICML 2025 Learning to Stop: Deep Learning for Mean Field Optimal Stopping Lorenzo Magnino, Yuchen Zhu, Mathieu Lauriere

NeurIPS 2025 Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics Lorenzo Magnino, Kai Shao, Zida Wu, Jiacheng Shen, Mathieu Lauriere

JMLR 2024 Deep Backward and Galerkin Methods for the Finite State Master Equation Asaf Cohen, Mathieu Laurière, Ethan Zell

AAAI 2024 Learning Discrete-Time Major-Minor Mean Field Games Kai Cui, Gökçe Dayanikli, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Heinz Koeppl

L4DC 2024 Robust Cooperative Multi-Agent Reinforcement Learning: A Mean-Field Type Game Perspective Muhammad Aneeq Uz Zaman, Mathieu Laurière, Alec Koppel, Tamer Başar

NeurIPS 2023 On Imitation in Mean-Field Games Giorgia Ramponi, Pavel Kolev, Olivier Pietquin, Niao He, Mathieu Lauriere, Matthieu Geist

AAAI 2022 Generalization in Mean Field Games by Learning Master Policies Sarah Perrin, Mathieu Laurière, Julien Pérolat, Romuald Élie, Matthieu Geist, Olivier Pietquin

ICML 2022 Scalable Deep Reinforcement Learning Algorithms for Mean Field Games Mathieu Lauriere, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Perolat, Romuald Elie, Olivier Pietquin, Matthieu Geist

IJCAI 2021 Mean Field Games Flock! the Reinforcement Learning Way Sarah Perrin, Mathieu Laurière, Julien Pérolat, Matthieu Geist, Romuald Élie, Olivier Pietquin

NeurIPS 2020 Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications Sarah Perrin, Julien Perolat, Mathieu Lauriere, Matthieu Geist, Romuald Elie, Olivier Pietquin

AAAI 2020 On the Convergence of Model Free Learning in Mean Field Games Romuald Elie, Julien Pérolat, Mathieu Laurière, Matthieu Geist, Olivier Pietquin