%0 Journal Article
%T Reinforcement Learning Technology in Multi-Agent System<br>多Agent系统中强化学习的研究现状和发展趋势
%A ZHAO Zhi-Hong GAO Yang LUO Bin CHEN Shi-Fu
%A <br>赵志宏
%A 高阳
%A 骆斌
%A 陈世福
%J 计算机科学
%D 2004
%I 
%X This paper introduces the key techniques,the current state of the research and the development tendency of the reinforcement learning and its applications in the multi-agent system. The content includes; (1) the structure of the reinforcement learning; (2) several representative reinforcement learning algorithms; (3) the applications and problems adopting reinforcement learning algorithms in the multi-agent system. Finally,the challenge that will be encountered when adopting reinforcement learning algorithms in the multi-agent system is discussed.
%K Multi-agent system
%K Reinforcement learning
%K Algorithm<br>人工智能
%K 多Agent系统
%K 元对策理论
%K 强化学习算法
%K POMDP模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=DD9922E8DB0E08F5&yid=D0E58B75BFD8E51C&vid=4AD960B5AD2D111A&iid=38B194292C032A66&sid=EA389574707BDED3&eid=DB817633AA4F79B9&journal_id=1002-137X&journal_name=计算机科学&referenced_num=6&reference_num=50