%0 Journal Article
%T The Multi-Agent System Based on Reinforcement Learning<br>基于强化学习的多Agent系统
%A TANG Wen-Bin ZHU Miao-Liang
%A <br>唐文彬
%A 朱淼良
%J 计算机科学
%D 2003
%I 
%X Reinforcement learning allows agent that has no knowledge of an environment to cooperate more efficacious each other. This paper presents an approach for developing multi-agent reinforcement learning systems based on equation principle. The experiment shows agent can produces the desired behavior under all kinds of situation.
%K Agent
%K Reinforcement learning
%K EDP
%K Equation principle<br>多Agent系统
%K 人工智能
%K 强化学习
%K 学习算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=BCA447780F6FBF7D&yid=D43C4A19B2EE3C0A&vid=340AC2BF8E7AB4FD&iid=E158A972A605785F&sid=7801E6FC5AE9020C&eid=13553B2D12F347E8&journal_id=1002-137X&journal_name=计算机科学&referenced_num=4&reference_num=12