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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
  • 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
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