Mathieu Lauriere
12 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (19) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🏆 Keyword Champion (10)
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
Top co-authors
Research topics
Reinforcement Learning
(10)
Methods
(10)
Artificial Intelligence
(9)
Core AI
(9)
Machine Learning
(7)
Learning Types · Machine Learning
(5)
Optimization & Theory
(4)
Deep Learning
(3)
Mathematics & Optimization
(3)
Optimization
(3)
Applications
(2)
Architectures
(2)
Learning Types · Deep Learning
(1)
Keywords
mean field game
(10)
fictitious play
(6)
neural network
(4)
nash equilibrium
(4)
multi-agent system
(4)
reinforcement learning
(4)
model-free learning
(2)
policy optimization
(2)
mean-field control
(2)
deep reinforcement learning
(2)
common noise
(2)
policy learning
(2)
population distribution
(2)
multi-agent reinforcement learning
(2)
backward induction
(2)
nash equilibria
(1)
stochastic control
(1)
value function
(1)
policy gradient
(1)
equilibrium learning
(1)
Papers
Actor-Critic learning for mean-field control in continuous time
JMLR 2025
Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean Field Games
ICML 2025
Learning to Stop: Deep Learning for Mean Field Optimal Stopping
ICML 2025
Deep Backward and Galerkin Methods for the Finite State Master Equation
JMLR 2024
Learning Discrete-Time Major-Minor Mean Field Games
AAAI 2024
Robust cooperative multi-agent reinforcement learning: A mean-field type game perspective
L4DC 2024
On Imitation in Mean-field Games
NeurIPS 2023
Generalization in Mean Field Games by Learning Master Policies
AAAI 2022
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games
ICML 2022
Mean Field Games Flock! The Reinforcement Learning Way
IJCAI 2021
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications
NeurIPS 2020
On the Convergence of Model Free Learning in Mean Field Games
AAAI 2020