Imagen de Portada

Equilibrium Correction Iteration for A Class of Mean-Field Game Inverse Problem

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yu, Jiajia, Liu, Jian-Guo, Zhao, Hongkai
Formato:	Preprint
Publicado:	2025
Materias:	Optimization and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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

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

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

Joint Inference of Trajectory and Obstacle in Mean-Field Games via Bilevel Optimization
por: Huang, Han, et al.
Publicado: (2025)

Deep Policy Iteration for High-Dimensional Mean Field Games
por: Assouli, Mouhcine, et al.
Publicado: (2023)

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

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

A Globally Convergent Flow for Time-Dependent Mean Field Games and a Solver-Agnostic Framework for Inverse Problems
por: Yan, Hanwei, et al.
Publicado: (2026)

Median-of-Means for Nash Equilibrium Seeking in Heavy-Tailed Games
por: Sun, Chao, et al.
Publicado: (2026)

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

Iterative Schemes for Uniformly Nonconvex Equilibrium Problems
por: Hazaimah, Oday
Publicado: (2025)

Regularization of Inverse Problems: Deep Equilibrium Models versus Bilevel Learning
por: Riccio, Danilo, et al.
Publicado: (2022)

Policy Iteration Reinforcement Learning Method for Continuous-Time Linear-Quadratic Mean-Field Control Problems
por: Li, Na, et al.
Publicado: (2023)

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

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

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

Equilibrium for Time-inconsistent Mean Field Games: A Systematic Analysis by Entropy Regularization
por: Bayraktar, Erhan, et al.
Publicado: (2026)

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

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

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

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

Policy Iteration Achieves Regularized Equilibrium under Time Inconsistency
por: Huang, Yu-Jui, et al.
Publicado: (2026)

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

EV Charging in Smart Grids: Mean Field Equilibrium and Approximate Non-Cooperative and Cooperative Strategies
por: Bo, Lijun, et al.
Publicado: (2025)

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

Mean Field Game of Optimal Tracking Portfolio
por: Bo, Lijun, et al.
Publicado: (2025)

Iterative Methods for Navier--Stokes Inverse Problems
por: O'Connor, Liam, et al.
Publicado: (2024)

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

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

A Separation Principle for Conditional Mean-Field Type Linear Quadratic Optimal Control Problem
por: Guo, Zhongbin, et al.
Publicado: (2025)

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

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

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

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

A Mean Field Game for Capacity Expansion Modeling
por: Hubert, Emma, et al.
Publicado: (2025)

Mean Field Game of Controls with State Reflections: Existence and Limit Theory
por: Bo, Lijun, et al.
Publicado: (2025)

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

A note on first order quasi-stationary Mean Field Games
por: Camilli, Fabio, et al.
Publicado: (2024)

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