Cover Image

A Globally Convergent Flow for Time-Dependent Mean Field Games and a Solver-Agnostic Framework for Inverse Problems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yan, Hanwei, Yang, Xianjin, Zhang, Jingguo
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Surrogate Potential Mean Field Games via Gaussian Processes: A Data-Driven Approach to Ill-Posed Inverse Problems
by: Zhang, Jingguo, et al.
Published: (2025)

Gaussian process policy iteration with additive Schwarz acceleration for forward and inverse HJB and mean field game problems
by: Yang, Xianjin, et al.
Published: (2025)

Inverse Problems for Mean Field Games
by: Liu, Hongyu, et al.
Published: (2025)

Equilibrium Correction Iteration for A Class of Mean-Field Game Inverse Problem
by: Yu, Jiajia, et al.
Published: (2025)

Convergence of Multi-Scale Reinforcement Q-Learning Algorithms for Mean Field Game and Control Problems
by: Angiuli, Andrea, et al.
Published: (2023)

A Bilevel Optimization Method for Inverse Mean-Field Games
by: Yu, Jiajia, et al.
Published: (2024)

On Inverse Problems for Mean Field Games with Common Noise via Carleman Estimate
by: Lü, Qi, et al.
Published: (2024)

Parallel-in-Time Preconditioning for Time-Dependent Variational Mean Field Games
by: Ljósheim, Heidi Wolles, et al.
Published: (2025)

Learning in Herding Mean Field Games: Single-Loop Algorithm with Finite-Time Convergence Analysis
by: Zeng, Sihan, et al.
Published: (2024)

On Discounted Infinite-Time Mean Field Games
by: Song, Yongsheng, et al.
Published: (2025)

Stochastic Mean-Field LQ Stackelberg Differential Games with Random Coefficients: Theory and a Deep FBSDE Picard Solver
by: Yang, Ying, et al.
Published: (2026)

Linear Quadratic Mean Field Games with Quantile-Dependent Cost Coefficients
by: Gao, Shuang, et al.
Published: (2024)

A Total Variation Flow Scheme for Ergodic Mean Field Games
by: Kalise, Dante, et al.
Published: (2024)

Convergence of Actor-Critic Learning for Mean Field Games and Mean Field Control in Continuous Spaces
by: Fouque, Jean-Pierre, et al.
Published: (2025)

Convergence of Potential Mean-Field Games via Lyapunov Methods
by: Höfer, Felix
Published: (2026)

Discrete-Time Mean Field Type Games: Probabilistic Setup
by: Lambrecht, Grégoire, et al.
Published: (2025)

$N$-Player Stochastic Differential Games with Regime Switching and Mean Field Convergence
by: Wang, Mingrui, et al.
Published: (2025)

Convergence Analysis and Acceleration of Fictitious Play for General Mean-Field Games via the Best Response
by: Yu, Jiajia, et al.
Published: (2024)

Mean Field Games with Major and Minor Agents: the Limiting Problem and Nash Equilibrium
by: Huang, Ziyu, et al.
Published: (2022)

Mean-Field Game for Gene Expression of Beetles
by: Jiang, Yiming, et al.
Published: (2025)

Mean Field Games and Control on Large Expander Graphs
by: Zhang, Tao, et al.
Published: (2026)

Dynamic Data Pricing: A Mean Field Stackelberg Game Approach
by: Bo, Lijun, et al.
Published: (2025)

Leader-Follower Mean Field LQG Games with Multiplicative Noise
by: Wang, Bing-Chang, et al.
Published: (2025)

State Constrained Optimal Control Problems With Control On The Acceleration. Applications To Kinetic Mean Field Games
by: Achdou, Yves
Published: (2025)

Mean-Field Games Under Model Uncertainty
by: Liang, Zongxia, et al.
Published: (2026)

Mean Field Games for Renewable Energy Development
by: Campi, Luciano, et al.
Published: (2026)

Mean Field Games of Control and Cryptocurrency Mining
by: Garcia, Nicolas, et al.
Published: (2025)

High-dimensional Mean-Field Games by Particle-based Flow Matching
by: Yu, Jiajia, et al.
Published: (2025)

Major-Minor Mean Field Game of Stopping: An Entropy Regularization Approach
by: Yu, Xiang, et al.
Published: (2025)

A New Framework for Modelling Liquidity Pools as Mean Field Games
by: González, Agustín Muñoz, et al.
Published: (2024)

Mean Field Games with Reflected Dynamics
by: Jarni, Imane, et al.
Published: (2025)

Mean Field Game and Control for Switching Hybrid Systems
by: C., Tejaswi K., et al.
Published: (2024)

Global Convergence and Error Propagation in Neural Gradient Flows: A Riemannian Optimization Framework
by: Zheng, Shixin, et al.
Published: (2026)

Liquidity Pools as Mean Field Games with Transaction Costs
by: González, Agustín Muñoz
Published: (2026)

Homogenization and Mean-Field Approximation for Multi-Player Games
by: Cont, Rama, et al.
Published: (2025)

Entropy Regularization in Mean-Field Games of Optimal Stopping
by: Dianetti, Jodi, et al.
Published: (2025)

On Time-Inconsistency in Mean Field Games
by: Bayraktar, Erhan, et al.
Published: (2023)

Mean Field Game with Reflected Jump Diffusion Dynamics: A Linear Programming Approach
by: Liang, Zongxia, et al.
Published: (2025)

Variational Contraction Conditions for Iterative Algorithms in Multi-Population Discrete-Time Regularized Mean-Field Games
by: Aydın, Uğur, et al.
Published: (2026)

Semi-Explicit Solution of Some Discrete-Time Mean-Field-Type Games with Higher-Order Costs
by: Barreiro-Gomez, Julian, et al.
Published: (2025)