| 多智能体分层协作规划及在RoboCup中的应用 |
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| 引用本文： | 陈荣亚,陈小平.多智能体分层协作规划及在RoboCup中的应用[J].计算机系统应用,2016,25(1):17-23. |
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| 作者姓名： | 陈荣亚 陈小平 |
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| 作者单位： | 中国科学技术大学计算机科学与技术学院, 合肥 230027,中国科学技术大学计算机科学与技术学院, 合肥 230027 |
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| 摘 要： | 为了更好地解决一类通讯受限环境中多智能体任务协作规划问题,提出了基于MAXQ-OP的多智能体在线规划方法,并在RoboCup仿真2D足球比赛的人墙站位和多球员传球问题中对算法进行了实验.实验结果表明,这个方法使智能体在需要协作配合的环境中的表现比传统方法有了明显提升.
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| 关 键 词： | 多智能体决策 机器人世界杯 马尔科夫决策过程 MAXQ分层分解 |
| 收稿时间： | 2015/4/11 0:00:00 |
| 修稿时间： | 2015/5/28 0:00:00 |
Multi-Agent Decomposition Collaborative Planning and the Application in RoboCup |
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| CHEN Rong-Ya and CHEN Xiao-Ping.Multi-Agent Decomposition Collaborative Planning and the Application in RoboCup[J].Computer Systems& Applications,2016,25(1):17-23. |
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| Authors: | CHEN Rong-Ya and CHEN Xiao-Ping |
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| Affiliation: | School of Computer Science and Technology, University of Science and Technology, Hefei 2300274, China and School of Computer Science and Technology, University of Science and Technology, Hefei 2300274, China |
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| Abstract: | For solving a kind of multi-agent collaboration task planning problems with limited communication environment, this paper proposes a multi-agent online planning method based on MAXQ-OP. And in the Robocup soccer simulation 2D Wall Station and many players pass the ball to the algorithm in question did an experiment. The experiment shows intelligent agent in this method than the traditional algorithm has increased significantly in the scenario which cooperation is needed. |
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| Keywords: | multi-agent decision-making RoboCup Markov decision process MAXQ hierarchical decomposition |
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