摘要
代理人联盟是代理人协作和合作的一种重要方式。形成一个联盟,代理人能提高他们的能力解决问题并且获得更多的实用程序。在这份报纸,新奇多工联盟平行形成策略被介绍,并且多工联盟形成的过程是一个 Markov 决定过程的结论理论上被证明。而且,学习的加强被用来解决多工联盟平行的代理人行为策略,和这个过程形成被描述。在多工面向的领域,策略罐头有效地并且平行形式多工联盟。
Agent coalition is an important manner of agents' coordination and cooperation.Forming a coalition,agents can enhance their ability to solve problems and obtain more utilities.In this paper,a novel multi-task coalition parallel formation strategy is presented,and the conclusion that the process of multi-task coalition formation is a Markov decision process is testified theoretically.Moreover,reinforcement learning is used to solve agents' behavior strategy,and the process of multi-task coalition parallel formation is described.In multi-task oriented domains,the strategy can effectively and parallel form multi-task coalitions.
出处
《自动化学报》
EI
CSCD
北大核心
2008年第3期349-352,共4页
Acta Automatica Sinica
基金
Supported by National Natural Science Foundation of China(60474035),National Research Foundation for the Doctoral Program of Higher Education of China(20050359004),Natural Science Foundation of Anhui Province(070412035)
关键词
强化学习
多任务合并
平行排列
马尔可夫决策过程
Multi-task coalition
parallel formation
Markov decision process
reinforcement learning