Cover Image

Data-Driven Network LQG Mean Field Games with Heterogeneous Populations via Integral Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Jean, Gao, Shuang
Format:	Preprint
Published:	2026
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data-Driven Mean Field Equilibrium Computation in Large-Population LQG Games
by: Xu, Zhenhui, et al.
Published: (2025)

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

LQG Risk-Sensitive Single-Agent and Major-Minor Mean-Field Game Systems: A Variational Framework
by: Liu, Hanchao, et al.
Published: (2023)

Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement Learning
by: Wu, Zida, et al.
Published: (2025)

Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
by: Wu, Zida, et al.
Published: (2024)

Continuous Aggregative LQG Games with Delayed Discrete Observations
by: Rajabali, Farid, et al.
Published: (2026)

Dynamic Population Games: A Tractable Intersection of Mean-Field Games and Population Games
by: Elokda, Ezzat, et al.
Published: (2021)

The Fragility of Learning LQG Controllers
by: Lee, Bruce D., et al.
Published: (2026)

Analysis of Multiscale Reinforcement Q-Learning Algorithms for Mean Field Control Games
by: Angiuli, Andrea, et al.
Published: (2024)

Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type Game Perspective
by: Zaman, Muhammad Aneeq uz, et al.
Published: (2024)

Stackelberg Meta-Learning Based Control for Guided Cooperative LQG Systems
by: Zhao, Yuhan, et al.
Published: (2022)

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

Price-Coordinated Mean Field Games with State Augmentation for Decentralized Battery Charging
by: Dandachly, Nour Al, et al.
Published: (2026)

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

Mean Field LQG Social Optimization: A Reinforcement Learning Approach
by: Xu, Zhenhui, et al.
Published: (2024)

AERO-LQG: Aerial-Enabled Robust Optimization for LQG-Based Quadrotor Flight Controller
by: Engelsman, Daniel, et al.
Published: (2025)

Stochastic Mean Field Game for Strategic Bidding of Consumers in Congested Distribution Networks
by: Silani, Amirreza, et al.
Published: (2024)

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

Stabilizing Traffic via Autonomous Vehicles: A Continuum Mean Field Game Approach
by: Huang, Kuang, et al.
Published: (2019)

Zero-Sum Games between Large-Population Teams: Reachability-based Analysis under Mean-Field Sharing
by: Guan, Yue, et al.
Published: (2023)

On the Gradient Domination of the LQG Problem
by: Fallah, Kasra, et al.
Published: (2025)

LQG Information Design
by: Miyashita, Masaki, et al.
Published: (2023)

MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games
by: Hu, Anran, et al.
Published: (2024)

Mean-Field Games with Constraints
by: Hu, Anran, et al.
Published: (2025)

Distributionally Robust LQG with Kullback-Leibler Ambiguity Sets
by: Fochesato, Marta, et al.
Published: (2025)

Model-free LQG Control with Chance Constraints
by: Naha, Arunava, et al.
Published: (2026)

Dynamic Trajectory and Power Control in Ultra-Dense UAV Networks: A Mean-Field Reinforcement Learning Approach
by: Song, Fei, et al.
Published: (2024)

Comparative Study of Q-Learning for State-Feedback LQG Control with an Unknown Model
by: Liu, Mingxiang, et al.
Published: (2025)

Robust Mean Field Social Control: A Unified Reinforcement Learning Framework
by: Xu, Zhenhui, et al.
Published: (2025)

Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation
by: Benjamin, Patrick, et al.
Published: (2024)

Networked Communication for Decentralised Agents in Mean-Field Games
by: Benjamin, Patrick, et al.
Published: (2023)

Distributionally Robust LQG control under Distributed Uncertainty
by: Falconi, Lucia, et al.
Published: (2023)

Reinforcement Learning for Discrete-time LQG Mean Field Social Control Problems with Unknown Dynamics
by: Zhang, Hanfang, et al.
Published: (2025)

Learning-Based Design of LQG Controllers in Quantum Coherent Feedback
by: Song, Chunxiang, et al.
Published: (2025)

Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics
by: Magnino, Lorenzo, et al.
Published: (2025)

Learning Equilibrium with Estimated Payoffs in Population Games
by: Park, Shinkyu
Published: (2024)

Privacy Preservation by Intermittent Transmission in Cooperative LQG Control Systems
by: Lin, Wenhao, et al.
Published: (2024)

An Extension of Major-Minor Mean Field Game Theory
by: González, Agustín Muñoz
Published: (2026)

The Control Plant as A Communication Channel: Implicit Communication for Decentralized LQG Control
by: Chen, Gongpu, et al.
Published: (2026)

Data-Driven Continuous-Time Linear Quadratic Regulator via Closed-Loop and Reinforcement Learning Parameterizations
by: Gießler, Armin, et al.
Published: (2026)