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  • 标题:Compound Reinforcement Learning
  • 本地全文:下载
  • 作者:Tohgoroh Matsui
  • 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:2011
  • 卷号:26
  • 期号:2
  • 页码:330-334
  • DOI:10.1527/tjsai.26.330
  • 出版社:The Japanese Society for Artificial Intelligence
  • 摘要:This paper describes a reinforcement learning framework based on compound returns, which is called compound reinforcement learning. Compound reinforcement learning maximizes the compound return in returns-based MDPs. We also describe compound Q-learning algorithm. We present experimental results using an ilustrative example, 2-armed bandit.
  • 关键词:reinforecement learning ; value functions ; compound returns ; Q-learning
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