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文章基本信息

  • 标题:Revisiting CFR+ and Alternating Updates
  • 本地全文:下载
  • 作者:Neil Burch ; Matej Moravcik ; Martin Schmid
  • 期刊名称:Journal of Artificial Intelligence Research
  • 印刷版ISSN:1076-9757
  • 出版年度:2019
  • 卷号:64
  • 页码:429-443
  • DOI:10.1613/jair.1.11370
  • 出版社:American Association of Artificial
  • 摘要:The CFR+ algorithm for solving imperfect information games is a variant of the popular CFR algorithm, with faster empirical performance on a range of problems. It was introduced with a theoretical upper bound on solution error, but subsequent work showed an error in one step of the proof. We provide updated proofs to recover the original bound.
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