Mathieu Lauriere
12 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (17) π Interdisciplinary Bridge π Conference Polyglot (6)
π
Academic Marathon
(5)
π
Cross-Pollinator
(13)
π
Keyword Champion
(7)
π
Century Club
(12)
π₯
Unstoppable
(6)
Conferences
AAAI (3)
ICML (3)
JMLR (2)
NIPS (2)
IJCAI (1)
L4DC (1)
Top co-authors
Keywords
mean field game
(7)
fictitious play
(6)
multi-agent system
(4)
nash equilibrium
(4)
reinforcement learning
(3)
neural network
(3)
multi-agent reinforcement learning
(2)
deep reinforcement learning
(2)
common noise
(2)
population distribution
(2)
policy learning
(2)
mean-field game
(2)
model-free learning
(2)
minimax framework
(1)
approximate equilibrium
(1)
galerkin method
(1)
flocking behavior
(1)
backward induction
(1)
adversarial formulation
(1)
mean-field control
(1)
Papers
Learning to Stop: Deep Learning for Mean Field Optimal Stopping
ICML 2025
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
Robust cooperative multi-agent reinforcement learning: A mean-field type game perspective
L4DC 2024
Learning Discrete-Time Major-Minor Mean Field Games
AAAI 2024
Deep Backward and Galerkin Methods for the Finite State Master Equation
JMLR 2024
On Imitation in Mean-field Games
NIPS 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
On the Convergence of Model Free Learning in Mean Field Games
AAAI 2020
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications
NIPS 2020