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基于Markov对策的多智能体协调方法及其在Robot Soccer中的应用
引用本文:范波,潘泉,张洪才.基于Markov对策的多智能体协调方法及其在Robot Soccer中的应用[J].机器人,2005,27(1):46-51.
作者姓名:范波  潘泉  张洪才
作者单位:西北工业大学自动控制系,陕西,西安,710072;西北工业大学自动控制系,陕西,西安,710072;西北工业大学自动控制系,陕西,西安,710072
摘    要:提出了一种分层的基于Markov对策的多智能体协调方法,根据多智能体之间的竞争和合作的关系,高层采用零和Markov对策解决与对手之间的竞争,低层采用团队Markov对策完成与团队内部的合作.通过在Robot Soccer中的应用和实验,说明了基于Markov对策的多智能体协调方法优于传统的多智能体学习.

关 键 词:多智能体  Markov对策  零和Markov对策  团队Markov对策  Robot  Soccer
文章编号:1002-0446(2005)01-0046-06
收稿时间:2004-03-15

A Multi-agent Coordination Method Based on Markov Game and Application to Robot Soccer
FAN Bo,PAN Quan,ZHANG Hong-cai.A Multi-agent Coordination Method Based on Markov Game and Application to Robot Soccer[J].Robot,2005,27(1):46-51.
Authors:FAN Bo  PAN Quan  ZHANG Hong-cai
Abstract:A layered multi-agent coordination method based on Markov games is presented. According to the relationship of competition and cooperation among the multiple agents, this method adopts the zero-sum Markov game in high layer to compete with the opponent and adopts the team Markov game in low layer to accomplish cooperation in the team. With the application and experiment in Robot Soccer, it is shown that this method is better than the traditional multi-agent learning method.
Keywords:multi-agent  Markov game  zero-sum Markov game  team Markov game  Robot Soccer
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