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Mathieu Laurière — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Mathieu Laurière
10
papers ·
59
citations ·
21
h-index
Nanyang Technological University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning
2019 · 39 citations
Unified Reinforcement Q-Learning for Mean Field Game and Control Problems
2020 · 7 citations
Policy Optimization for Linear-Quadratic Zero-Sum Mean-Field Type Games
2020 · 7 citations
Reinforcement Learning for Mean Field Games, with Applications to Economics
2021 · 4 citations
Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
2024 · 1 citations
Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement Learning
2025
Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games
2025
Linear-Quadratic Zero-Sum Mean-Field Type Games: Optimality Conditions and Policy Optimization
2020
Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type Game Perspective
2024
Top co-authors
René Carmona
· 3
Zongjun Tan
· 3
Andrea Angiuli
· 2
Ankur Mehta
· 2
Jean‐Pierre Fouque
· 2
Kenza Hamidouche
· 2
Matthieu Geist
· 2
Olivier Pietquin
· 2
Zida Wu
· 2
Alec Koppel
· 1
Antonio Ocello
· 1
Daniil Tiapkin
· 1
Topics
Multi-Agent
Game AI
Model-Based RL
Policy Gradient
Value-Based