典型文献
Cooperative planning of multi-agent systems based on task-oriented knowledge fusion with graph neural networks
文献摘要：
Cooperative planning is one of the critical problems in the field of multi-agent system gaming. This work focuses on cooperative planning when each agent has only a local observation range and local communication. We propose a novel cooperative planning architecture that combines a graph neural network with a task-oriented knowledge fusion sampling method. Two main contributions of this paper are based on the comparisons with previous work: (1) we realize feasible and dynamic adjacent information fusion using GraphSAGE (i.e., Graph SAmple and aggreGatE), which is the first time this method has been used to deal with the cooperative planning problem, and (2) a task-oriented sampling method is proposed to aggregate the available knowledge from a particular orientation, to obtain an effective and stable training process in our model. Experimental results demonstrate the good performance of our proposed method.
文献关键词：
中图分类号：
作者姓名：
Hanqi DAI;Weining LU;Xianglong LI;Jun YANG;Deshan MENG;Yanze LIU;Bin LIANG
作者机构：
Department of Automation,Tsinghua University,Beijing 100084,China;Beijing National Research Center for Information Science and Technology,Tsinghua University,Beijing 100084,China;Office of Science and Technology,Tianjin University,Tianjin 300350,China;School of Aeronautics and Astronautics,Sun Yat-sen University,Shenzhen 518107,China;Faculty Office of Electrical and Electronics Engineering,University of Nottingham,Ningbo 315154,China
文献出处：
引用格式：
[1]Hanqi DAI;Weining LU;Xianglong LI;Jun YANG;Deshan MENG;Yanze LIU;Bin LIANG-.Cooperative planning of multi-agent systems based on task-oriented knowledge fusion with graph neural networks)[J].信息与电子工程前沿（英文）,2022(07):1069-1076
A类：
SAmple,aggreGatE
B类：
Cooperative,planning,multi,agent,systems,task,oriented,knowledge,fusion,graph,neural,networks,one,critical,problems,field,gaming,This,focuses,cooperative,when,each,has,only,local,observation,range,communication,We,novel,architecture,that,combines,sampling,method,Two,main,contributions,this,paper,are,comparisons,previous,we,realize,feasible,dynamic,adjacent,information,using,GraphSAGE,which,first,been,used,deal,proposed,aggregate,available,from,particular,orientation,obtain,effective,stable,training,process,our,model,Experimental,results,demonstrate,good,performance
AB值：
0.553004
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机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
