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 CAE 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    

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

Zhang Hongwei,Wu Aiguo,Sheng Tao

Strategic Study of CAE 2006, Volume 8, Issue 7,   Pages 58-62

Keywords： VAV     agent     multi-agent system     distributed intelligent control    

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

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    

Interactive medical image segmentation with self-adaptive confidence calibration

沈楚云,李文浩,徐琪森,胡斌,金博,蔡海滨,朱凤平,李郁欣,王祥丰

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1332-1348 doi: 10.1631/FITEE.2200299

Keywords： Medical image segmentation     Interactive segmentation     Multi-agent reinforcement learning     Confidence learning     Semi-supervised learning    

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 CAE 2003, Volume 5, Issue 3,   Pages 67-71

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

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

Shaojun ZHU; Makoto OHSAKI; Kazuki HAYASHI; Shaohan ZONG; Xiaonong GUO

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 11,   Pages 1397-1414 doi: 10.1007/s11709-022-0860-y

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

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