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全站排名 #7,137

发表论文8 篇

平均评分5.8

年均产出4.0 篇/年

Mathieu Lauriere

Assistant Professor@New York University·法国·OpenReview

研究方向

multi-agent systems · reinforcement learning · deep learning · mean field games · optimal control · partial differential equations

Operator Learning for Families of Finite-State Mean-Field Games

ICLR 2026Rejected

$\alpha$-GFN: Generalized Mixing in GFlowNets for Better Exploration-Exploitation Trade-off

ICLR 2026Rejected

Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics

NeurIPS 2025Poster

Learning to Stop: Deep Learning for Mean Field Optimal Stopping

ICML 2025Poster

Deep Learning Algorithms for Mean Field Optimal Stopping in Finite Space and Discrete Time

ICLR 2025Rejected

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean Field Games

ICML 2025Poster

Reinforcement Learning for Finite Space Mean-Field Type Games

ICLR 2025Rejected

A Simulation-Free Deep Learning Approach to Stochastic Optimal Control

ICLR 2025Rejected

合作者 (20)

Lorenzo Magnino