Mathieu Laurière

6 papers at tracked venues · 4 at CORE A* · active 2024–2025

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Venues

AAMAS ×2 ICML ×2 AAAI ×1 NeurIPS ×1

Frequent coauthors

Lorenzo Magnino

×2

Zida Wu

×2

Gökçe Dayanikli

×2

Matthieu Geist

×2

Olivier Pietquin

×2

Antonio Ocello

×1

Daniil Tiapkin

×1

Lorenzo Mancini

×1

Eric Moulines

×1

Yuchen Zhu

×1

Kai Shao

×1

Jiacheng Shen

×1

Papers

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean Field Games
ICML 2025 ·
Antonio Ocello
,
Daniil Tiapkin
,
Lorenzo Mancini
, Mathieu Laurière,
Eric Moulines
Learning to Stop: Deep Learning for Mean Field Optimal Stopping
ICML 2025 ·
Lorenzo Magnino
,
Yuchen Zhu
, Mathieu Laurière
Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics
NeurIPS 2025 ·
Lorenzo Magnino
,
Kai Shao
,
Zida Wu
,
Jiacheng Shen
, Mathieu Laurière
Deep Learning for Population-Dependent Controls in Mean Field Control Problems with Common Noise
AAMAS 2024 ·
Gökçe Dayanikli
, Mathieu Laurière,
Jiacheng Zhang
Learning Discrete-Time Major-Minor Mean Field Games
AAAI 2024 ·
Kai Cui
,
Gökçe Dayanikli
, Mathieu Laurière,
Matthieu Geist
,
Olivier Pietquin
,
Heinz Koeppl
Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
AAMAS 2024 ·
Zida Wu
, Mathieu Laurière,
Samuel Jia Cong Chua
,
Matthieu Geist
,
Olivier Pietquin
,
Ankur Mehta