Guardado en:
| Autores principales: | Zhu, Jean, Gao, Shuang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2602.14339 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Data-Driven Mean Field Equilibrium Computation in Large-Population LQG Games
por: Xu, Zhenhui, et al.
Publicado: (2025)
por: Xu, Zhenhui, et al.
Publicado: (2025)
Linear Quadratic Mean Field Games with Quantile-Dependent Cost Coefficients
por: Gao, Shuang, et al.
Publicado: (2024)
por: Gao, Shuang, et al.
Publicado: (2024)
LQG Risk-Sensitive Single-Agent and Major-Minor Mean-Field Game Systems: A Variational Framework
por: Liu, Hanchao, et al.
Publicado: (2023)
por: Liu, Hanchao, et al.
Publicado: (2023)
Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
por: Wu, Zida, et al.
Publicado: (2024)
por: Wu, Zida, et al.
Publicado: (2024)
Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement Learning
por: Wu, Zida, et al.
Publicado: (2025)
por: Wu, Zida, et al.
Publicado: (2025)
Dynamic Population Games: A Tractable Intersection of Mean-Field Games and Population Games
por: Elokda, Ezzat, et al.
Publicado: (2021)
por: Elokda, Ezzat, et al.
Publicado: (2021)
Continuous Aggregative LQG Games with Delayed Discrete Observations
por: Rajabali, Farid, et al.
Publicado: (2026)
por: Rajabali, Farid, et al.
Publicado: (2026)
Analysis of Multiscale Reinforcement Q-Learning Algorithms for Mean Field Control Games
por: Angiuli, Andrea, et al.
Publicado: (2024)
por: Angiuli, Andrea, et al.
Publicado: (2024)
The Fragility of Learning LQG Controllers
por: Lee, Bruce D., et al.
Publicado: (2026)
por: Lee, Bruce D., et al.
Publicado: (2026)
Price-Coordinated Mean Field Games with State Augmentation for Decentralized Battery Charging
por: Dandachly, Nour Al, et al.
Publicado: (2026)
por: Dandachly, Nour Al, et al.
Publicado: (2026)
Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type Game Perspective
por: Zaman, Muhammad Aneeq uz, et al.
Publicado: (2024)
por: Zaman, Muhammad Aneeq uz, et al.
Publicado: (2024)
Stackelberg Meta-Learning Based Control for Guided Cooperative LQG Systems
por: Zhao, Yuhan, et al.
Publicado: (2022)
por: Zhao, Yuhan, et al.
Publicado: (2022)
Leader-Follower Mean Field LQG Games with Multiplicative Noise
por: Wang, Bing-Chang, et al.
Publicado: (2025)
por: Wang, Bing-Chang, et al.
Publicado: (2025)
Mean Field LQG Social Optimization: A Reinforcement Learning Approach
por: Xu, Zhenhui, et al.
Publicado: (2024)
por: Xu, Zhenhui, et al.
Publicado: (2024)
Variational Contraction Conditions for Iterative Algorithms in Multi-Population Discrete-Time Regularized Mean-Field Games
por: Aydın, Uğur, et al.
Publicado: (2026)
por: Aydın, Uğur, et al.
Publicado: (2026)
AERO-LQG: Aerial-Enabled Robust Optimization for LQG-Based Quadrotor Flight Controller
por: Engelsman, Daniel, et al.
Publicado: (2025)
por: Engelsman, Daniel, et al.
Publicado: (2025)
On the Gradient Domination of the LQG Problem
por: Fallah, Kasra, et al.
Publicado: (2025)
por: Fallah, Kasra, et al.
Publicado: (2025)
MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games
por: Hu, Anran, et al.
Publicado: (2024)
por: Hu, Anran, et al.
Publicado: (2024)
Mean Field Game and Control for Switching Hybrid Systems
por: C., Tejaswi K., et al.
Publicado: (2024)
por: C., Tejaswi K., et al.
Publicado: (2024)
LQG Information Design
por: Miyashita, Masaki, et al.
Publicado: (2023)
por: Miyashita, Masaki, et al.
Publicado: (2023)
Stabilizing Traffic via Autonomous Vehicles: A Continuum Mean Field Game Approach
por: Huang, Kuang, et al.
Publicado: (2019)
por: Huang, Kuang, et al.
Publicado: (2019)
Stochastic Mean Field Game for Strategic Bidding of Consumers in Congested Distribution Networks
por: Silani, Amirreza, et al.
Publicado: (2024)
por: Silani, Amirreza, et al.
Publicado: (2024)
Zero-Sum Games between Large-Population Teams: Reachability-based Analysis under Mean-Field Sharing
por: Guan, Yue, et al.
Publicado: (2023)
por: Guan, Yue, et al.
Publicado: (2023)
Mean-Field Games with Constraints
por: Hu, Anran, et al.
Publicado: (2025)
por: Hu, Anran, et al.
Publicado: (2025)
Distributionally Robust LQG with Kullback-Leibler Ambiguity Sets
por: Fochesato, Marta, et al.
Publicado: (2025)
por: Fochesato, Marta, et al.
Publicado: (2025)
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation
por: Benjamin, Patrick, et al.
Publicado: (2024)
por: Benjamin, Patrick, et al.
Publicado: (2024)
Networked Communication for Decentralised Agents in Mean-Field Games
por: Benjamin, Patrick, et al.
Publicado: (2023)
por: Benjamin, Patrick, et al.
Publicado: (2023)
Model-free LQG Control with Chance Constraints
por: Naha, Arunava, et al.
Publicado: (2026)
por: Naha, Arunava, et al.
Publicado: (2026)
Comparative Study of Q-Learning for State-Feedback LQG Control with an Unknown Model
por: Liu, Mingxiang, et al.
Publicado: (2025)
por: Liu, Mingxiang, et al.
Publicado: (2025)
Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics
por: Magnino, Lorenzo, et al.
Publicado: (2025)
por: Magnino, Lorenzo, et al.
Publicado: (2025)
Learning-Based Design of LQG Controllers in Quantum Coherent Feedback
por: Song, Chunxiang, et al.
Publicado: (2025)
por: Song, Chunxiang, et al.
Publicado: (2025)
Distributionally Robust LQG control under Distributed Uncertainty
por: Falconi, Lucia, et al.
Publicado: (2023)
por: Falconi, Lucia, et al.
Publicado: (2023)
Dynamic Trajectory and Power Control in Ultra-Dense UAV Networks: A Mean-Field Reinforcement Learning Approach
por: Song, Fei, et al.
Publicado: (2024)
por: Song, Fei, et al.
Publicado: (2024)
Reinforcement Learning for Discrete-time LQG Mean Field Social Control Problems with Unknown Dynamics
por: Zhang, Hanfang, et al.
Publicado: (2025)
por: Zhang, Hanfang, et al.
Publicado: (2025)
Robust Mean Field Social Control: A Unified Reinforcement Learning Framework
por: Xu, Zhenhui, et al.
Publicado: (2025)
por: Xu, Zhenhui, et al.
Publicado: (2025)
An Extension of Major-Minor Mean Field Game Theory
por: González, Agustín Muñoz
Publicado: (2026)
por: González, Agustín Muñoz
Publicado: (2026)
Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation
por: Zhang, Chenyu, et al.
Publicado: (2024)
por: Zhang, Chenyu, et al.
Publicado: (2024)
Privacy Preservation by Intermittent Transmission in Cooperative LQG Control Systems
por: Lin, Wenhao, et al.
Publicado: (2024)
por: Lin, Wenhao, et al.
Publicado: (2024)
Learning Equilibrium with Estimated Payoffs in Population Games
por: Park, Shinkyu
Publicado: (2024)
por: Park, Shinkyu
Publicado: (2024)
The Control Plant as A Communication Channel: Implicit Communication for Decentralized LQG Control
por: Chen, Gongpu, et al.
Publicado: (2026)
por: Chen, Gongpu, et al.
Publicado: (2026)
Ejemplares similares
-
Data-Driven Mean Field Equilibrium Computation in Large-Population LQG Games
por: Xu, Zhenhui, et al.
Publicado: (2025) -
Linear Quadratic Mean Field Games with Quantile-Dependent Cost Coefficients
por: Gao, Shuang, et al.
Publicado: (2024) -
LQG Risk-Sensitive Single-Agent and Major-Minor Mean-Field Game Systems: A Variational Framework
por: Liu, Hanchao, et al.
Publicado: (2023) -
Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
por: Wu, Zida, et al.
Publicado: (2024) -
Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement Learning
por: Wu, Zida, et al.
Publicado: (2025)