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《Computer Engineering and Applications》 2008-24
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Modified reinforcement learning based on experience konwledge and its application in MAS

MAO Jun-jie,LIU Guo-dong School of Communications and Control Engineering,Jiangnan University,Wuxi,Jiangsu 214122,China  
In order to increase the speed of the agent learning,which is deficient in the triditional reinforcement learing in MAS.The experience konwledge is used in it,and the conception of intrinsic motivation from psychology is introduced.The intrinsic reinforcement,together with extrinsic reinforcement signal act on the whole process of the learning.At last,this algorithm is used for RoboCup simulation,the results of experiment show that the modified algorithm has faster speed to converge and better performance.
【CateGory Index】: TP181
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