Study and application of reinforcement learning based on DAI in cooperative strategy of robot soccer  

Study and application of reinforcement learning based on DAI in cooperative strategy of robot soccer

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作  者:郭琦 张达志 杨永田 

机构地区:[1]Dept.of Mathematics,Harbin Institute of Technology [2]Dept.of Computer Science and Engineering,Harbin Engineering University

出  处:《Journal of Harbin Institute of Technology(New Series)》2009年第4期513-519,共7页哈尔滨工业大学学报(英文版)

摘  要:A dynamic cooperation model of multi-agent is established by combining reinforcement learning with distributed artificial intelligence(DAI),in which the concept of individual optimization loses its meaning because of the dependence of repayment on each agent itself and the choice of other agents.Utilizing the idea of DAI,the intellectual unit of each robot and the change of task and environment,each agent can make decisions independently and finish various complicated tasks by communication and reciprocation between each other.The method is superior to other reinforcement learning methods commonly used in the multi-agent system.It can improve the convergence velocity of reinforcement learning,decrease requirements of computer memory,and enhance the capability of computing and logical ratiocinating for agent.The result of a simulated robot soccer match proves that the proposed cooperative strategy is valid.A dynamic cooperation model of multi-agent is established by combining reinforcement learning with distributed artificial intelligence(DAI),in which the concept of individual optimization loses its meaning because of the dependence of repayment on each agent itself and the choice of other agents.Utilizing the idea of DAI,the intellectual unit of each robot and the change of task and environment,each agent can make decisions independently and finish various complicated tasks by communication and reciprocation between each other.The method is superior to other reinforcement learning methods commonly used in the multi-agent system.It can improve the convergence velocity of reinforcement learning,decrease requirements of computer memory,and enhance the capability of computing and logical ratiocinating for agent.The result of a simulated robot soccer match proves that the proposed cooperative strategy is valid.

关 键 词:robot soccer reinforcement learning i cooperative strategy distributed artificial intelligence 

分 类 号:TP242.6[自动化与计算机技术—检测技术与自动化装置] TP18[自动化与计算机技术—控制科学与工程]

 

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