文章基本信息

标题：Multi User Learning Agent with Clustering
本地全文：下载
作者：Hidefumi Ohmura ; Daisuke Katagami ; Katsumi Nitta 等
期刊名称：人工知能学会論文誌
印刷版ISSN：1346-0714
电子版ISSN：1346-8030
出版年度：2007
卷号：22
期号：6
页码：621-630
DOI：10.1527/tjsai.22.621
出版社：The Japanese Society for Artificial Intelligence
摘要：In this paper, we propose a learning method for an agent to interact with other agents effectively. This method, MULA-C, improves efficiency of the learning, by clustering agents, and influences the learning experience of one agent to other agents which belong to the same cluster. Similarity among agents is evaluated by similarity among Q-values of agents. We give the detail explanation of learning method of MULA-C, and present the result of experiments which shows the effectiveness of MULA-C.
关键词：interaction ; learning ; agent