Alternating the Population and Control Neural Networks to Solve
High-Dimensional Stochastic Mean-Field Games

Alternating the Population and Control Neural Networks to Solve High-Dimensional Stochastic Mean-Field Games

24 February 2020

Wuchen Li

Stanley J. Osher

Papers citing "Alternating the Population and Control Neural Networks to Solve High-Dimensional Stochastic Mean-Field Games"

15 / 15 papers shown

Title
Gaussian Process Policy Iteration with Additive Schwarz Acceleration for Forward and Inverse HJB and Mean Field Game Problems Xianjin Yang Jingguo Zhang 24 0 0 01 May 2025
Score-based Neural Ordinary Differential Equations for Computing Mean Field Control Problems Mo Zhou Stanley Osher Wuchen Li 87 3 0 24 Sep 2024
In-Context Operator Learning with Data Prompts for Differential Equation Problems Liu Yang Siting Liu Tingwei Meng Stanley J. Osher 40 60 0 17 Apr 2023
Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme Alexander Vidal Samy Wu Fung Luis Tenorio Stanley Osher L. Nurbekyan 35 15 0 30 Nov 2022
Entropic Neural Optimal Transport via Diffusion Processes Nikita Gushchin Alexander Kolesov Alexander Korotin Dmitry Vetrov Evgeny Burnaev OT DiffM 42 37 0 02 Nov 2022
Mean-field neural networks: learning mappings on Wasserstein space H. Pham X. Warin 21 13 0 27 Oct 2022
Deep Generalized Schrödinger Bridge Guan-Horng Liu T. Chen Oswin So Evangelos A. Theodorou OT AI4CE 16 35 0 20 Sep 2022
Mean-Field Control Approach to Decentralized Stochastic Control with Finite-Dimensional Memories Takehiro Tottori Tetsuya J. Kobayashi 15 4 0 12 Sep 2022
Multi-Agent Shape Control with Optimal Transport A. Lin Stanley J. Osher OT 17 0 0 30 Jun 2022
Explainable AI via Learning to Optimize Howard Heaton Samy Wu Fung 32 14 0 29 Apr 2022
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games Chao Ma Lexing Ying MLT 34 11 0 15 Feb 2022
DeepParticle: learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method Zhongjian Wang Jack Xin Zhiwen Zhang 39 15 0 02 Nov 2021
JFB: Jacobian-Free Backpropagation for Implicit Networks Samy Wu Fung Howard Heaton Qiuwei Li Daniel McKenzie Stanley Osher W. Yin FedML 35 84 0 23 Mar 2021
An overview on deep learning-based approximation methods for partial differential equations C. Beck Martin Hutzenthaler Arnulf Jentzen Benno Kuckuck 30 146 0 22 Dec 2020
Mean-Field and Kinetic Descriptions of Neural Differential Equations Michael Herty T. Trimborn G. Visconti 36 6 0 07 Jan 2020