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《Journal of Liaoning Agricultural College》 2008-05
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Q-Learning in Multi-Agent Systems

ZHAN Zhong-li1,WANG Qiang1,WANG Peixia2 (1.Jilin Technology University of Electric Information,Jilin 132012,China 2.Liaoning Agricultural College,Yingkou,115009,China)  
Reinforcement Learning(RL)is an important branch of machine learning and Q-learning is a typical RL.The learning process adjusts its actions according to external signals from interactions with the environment.I proposed a improved Multi-Agent System Reinforcement Learning Algorithm,which can extend Q-Learning Algorithm to Multi-Agent System via sharing all of Agents' information.
【CateGory Index】: TP18
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【Citations】
Chinese Journal Full-text Database 3 Hits
1 ZHANG Shujun1, MENG Qingchun1,2, SONG Changhong1,ZHANG Yan1, ZHANG Wen1(1. Dept. of Computer Science Department, Ocean University of China, s, Tsinghua University, Beijing 100084, China);Cooperation and negotiation in MAS, hybrid intelligent learning algorithm and application in robot soccer[J];Journal of Harbin Institute of Technology;2003-09
2 Zhang Rubo(Dept.of Computer Science,Harbin Engineering University,Harbin150001);Research on the Method to Improve Reinforcement Learning Speed[J];Computer Engineering and Applications;2001-22
3 TANG Wen-Bin ZHU Miao-Liang (Institute of Artificial Intelligence, Zhejiang University, Hangzhou 310027);The Multi-Agent System Based on Reinforcement Learning[J];Computer Science;2003-04
【Co-citations】
Chinese Journal Full-text Database 7 Hits
1 ZHONG Mao-sheng 1,2 ,LIAO Hui-chuan3,XIE Yong1 (1.Department of Computer Science and Engineering,Shanghai Jiaotong University,Shanghai 200030,China; 2.School of Information Engineering,East China Jiaotong University,Nanchang 330013,China);Web Information Filtering System Based on User-Oriented Interests[J];Journal of Guangxi Normal University(Natural Science Edition);2006-04
2 GUO Xiaojun1,YANG Jianjun2,LI Hongwei3 (1.Department of Control Engineering;2.Graduate Students’ Brigade of NAE,Yantai,Shandong,264001; 3.Graduate Department of Xi’an Communication Engineering Institute,Xi’an,Shanxi,710000);A hybrid learning algorithm with prior knowledge and a hybrid architecture model in agent-based simulation[J];Journal of Naval Aeronautical Engineering Institute;2007-02
3 ZHANG Yun,LIU Jian-ping(College of Mechatronical Engineering&Automation of National University of Defense Technology,Changsha Hunan 410073,China);Research on Improvement of Q-Learning and Its Simulation Experiments[J];Computer Simulation;2007-10
4 WANG Na,WANG Guo-yu,MENG Qing-chun,YIN Bo(College of Information Science & Engineering,Ocean University of China,Qingdao Shandong 266071,China);Model of Agent-based Intelligent Traffic Control System[J];Application Research of Computers;2007-01
5 MENG Wei,HAN Xue-dong.1.Information School,Beijing Forestry University,Beijing 100083,China 2.706 Institute of China Aerospace Science and Industry Corporation,Beijing 100854,China;Parallel reinforcement learning algorithm and its application[J];Computer Engineering and Applications;2009-34
6 HE Tao~(1,2),BAI Zhenxing~1(1.Engineering Institute,Air Force University of Engineering,Xi′an,710038,China;2.Section One of Air Force Testing and Training Base,Jiuquan,735018,China);Research on Key Techniques for Designing Multi-Agent System[J];Modern Electronics Technique;2006-14
7 SONG Qing-kun,HU Zi-ying(Automation,Harbin Univ.Sci.Tech.,Harbin 150080,China);Q-Learning based on the Experience knowledge[J];Techniques of Automation and Applications;2006-11
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