首页|期刊导航|自动化学报(英文版)|QuadQ:Quadratic-Based Value Decomposition for Cooperative Policy Optimization in Multi-Agent Reinforcement Learning

QuadQ:Quadratic-Based Value Decomposition for Cooperative Policy Optimization in Multi-Agent Reinforcement LearningOA

QuadQ:Quadratic-Based Value Decomposition for Cooperative Policy Optimization in Multi-Agent Reinforcement Learning

Siying Wang;Ruoning Zhang;Yang Zhou;Jinliang Shao;Yuhua Cheng

School of Automation Engineering,University of Electronic Science and Technology of China,Chengdu 611731 ChinaSchool of Computer Science and Engineering (School of Cyber Security),University of Electronic Science and Technology of China,Chengdu 611731,ChinaSchool of Computer Science and Engineering (School of Cyber Security),University of Electronic Science and Technology of China,Chengdu 611731,ChinaSchool of Automation Engineering,University of Electronic Science and Technology of China,Chengdu 611731 and also with the Tianfu Jiangxi Laboratory,Sichuan 641419,ChinaSchool of Automation Engineering,University of Electronic Science and Technology of China,Chengdu 611731 China

《自动化学报(英文版)》 2026 (3)

728-730,3

This work was supported in part by the National Natural Science Foundation of China(62273077),the Natu-ral Science Foundation of Sichuan Province(2024NSFJQ0013),and the Sichuan Science and Technology Program(2025ZDZX0006).

10.1109/JAS.2025.125666

评论