Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents Research Article

Jian ZHAO, Youpeng ZHAO, Weixun WANG, Mingyu YANG, Xunhan HU, Wengang ZHOU, Jianye HAO, Houqiang LI

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7,   Pages 1032-1042 doi: 10.1631/FITEE.2100594

Keywords： Multi-agent system     Reinforcement learning     Unexpected crashed agents    

Multi-agent deep reinforcement learning for end–edge orchestrated resource allocation in industrial wireless Research Article

Xiaoyu LIU, Chi XU, Haibin YU, Peng ZENG,liuxiaoyu1@sia.cn,xuchi@sia.cn,yhb@sia.cn,zp@sia.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 1,   Pages 47-60 doi: 10.1631/FITEE.2100331

Keywords： Multi-agent deep reinforcement learning     End–edge orchestrated     Industrial wireless networks     Delay    

Multi-agent differential game based cooperative synchronization control using a data-driven method Research Article

Yu SHI, Yongzhao HUA, Jianglong YU, Xiwang DONG, Zhang REN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7,   Pages 1043-1056 doi: 10.1631/FITEE.2200001

Keywords： Multi-agent system     Differential game     Synchronization control     Data-driven     Reinforcement learning    

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7

Keywords： deep reinforcement learning     hyper parameter optimization     convolutional neural network     fault diagnosis    

Methods of Processing Ambiguity in Multi-Agent System

Wang Ziqiang,Feng Boqin

Strategic Study of Chinese Academy of Engineering 2003, Volume 5, Issue 9,   Pages 72-77

Keywords： multi-agent system     ambiguity     processing method     Kripke structure    

Optimal synchronization control for multi-agent systems with input saturation: a nonzero-sum game Research Article

Hongyang LI, Qinglai WEI

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7,   Pages 1010-1019 doi: 10.1631/FITEE.2200010

Keywords： Optimal synchronization control     Multi-agent systems     Nonzero-sum game     Adaptive dynamic programming     Input saturation     Off-policy reinforcement learning     Policy iteration    

Deep reinforcement learning-based critical element identification and demolition planning of frame structures

Frontiers of Structural and Civil Engineering   Pages 1397-1414 doi: 10.1007/s11709-022-0860-y

Keywords： progressive collapse     alternate load path     demolition planning     reinforcement learning     graph embedding    

The Application of Multi-agent Based Distributed Intelligent Control in VAV Air Conditioning System

Zhang Hongwei,Wu Aiguo,Sheng Tao

Strategic Study of Chinese Academy of Engineering 2006, Volume 8, Issue 7,   Pages 58-62

Keywords： VAV     agent     multi-agent system     distributed intelligent control    

Soft-HGRNs: soft hierarchical graph recurrent networks for multi-agent partially observable environments Research Article

Yixiang REN, Zhenhui YE, Yining CHEN, Xiaohong JIANG, Guanghua SONG,yixiangren@zju.edu.cn,zhenhuiye@zju.edu.cn,ch19930611@zju.edu.cn,ghsong@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 1,   Pages 117-130 doi: 10.1631/FITEE.2200073

Keywords： Deep reinforcement learning     Graph-based communication     Maximum-entropy learning     Partial observability    

Erratum to: Soft-HGRNs: soft hierarchical graph recurrent networks for multi-agent partially observable

Yixiang REN, Zhenhui YE, Yining CHEN, Xiaohong JIANG, Guanghua SONG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3,   Pages 480-480 doi: 10.1631/FITEE.22e0073

A Multi-agent Model Based on Cellular Automata for Simulating Human Behavior to Assess Building Design

Fang Weifeng,Yang Lizhong,Huang Rui

Strategic Study of Chinese Academy of Engineering 2003, Volume 5, Issue 3,   Pages 67-71

Keywords： Cellular automata model     multi-agent     human behavior     performance-based design    

Leader-following synchronization of a multi-agent system with heterogeneous delays Research Articles

Branislav Rehák, Volodymyr Lynnyk,rehakb@utia.cas.cz,volodymyr.lynnyk@utia.cas.cz

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000207

Keywords： Multi-agent system     Time delay     Linear matrix inequality    

Decentralized multi-agent reinforcement learning with networked agents: recent advances Review Article

Kaiqing Zhang, Zhuoran Yang, Tamer Başar,kzhang66@illinois.edu,zy6@princeton.edu,basar1@illinois.edu

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 6,   Pages 802-814 doi: 10.1631/FITEE.1900661

Keywords： 强化学习；多智能体系统；网络系统；一致性优化；分布式优化；博弈论    

Bipartite asynchronous impulsive tracking consensus for multi-agent systems Research Article

Lingzhong ZHANG, Yuanyuan LI, Jungang LOU, Jianquan LU

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 10,   Pages 1522-1532 doi: 10.1631/FITEE.2100122

Keywords： Bipartite tracking     Multi-agent systems     Asynchronous impulsive     Consensus    

Containment control for heterogeneous nonlinear multi-agent systems under distributed event-triggered Research Articles

Ya-ni Sun, Wen-cheng Zou, Jian Guo, Zheng-rong Xiang,xiangzr@njust.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000034

Keywords： Multi-agent systems     Distributed event-triggered control     Containment control     Heterogeneous nonlinear