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Guobin Zhu
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Personal Information
  • Supervisor of Doctorate Candidates
  • Supervisor of Master's Candidates
  • Name (Pinyin):Zhu Guobin
  • E-Mail:
  • Education Level:研究生毕业
  • Business Address:Room 1104, School of Cyber Science and Engineering, Wuhan University
  • Gender:Male
  • Contact Information:Tel. +86-27-68778916 Mobile: +86-18040500277 http://rsgis.whu.edu.cn/index.php?m=content&c=index&a=show&catid=127&id=6311
  • Academic Titles:Director of Dept. of Spatial Information & Digital Technology
  • Alma Mater:Ben-Gurion University of the Negev
  • Teacher College:School of Remote Sensing and Information Engineering
  • Discipline: Photogrammetry and Remote Sensing
  • Honors and Titles
      2018  elected:Honorary Title of Hubei Provincial Industrial Professors

      2017  elected:Honorary Title of Innovation & Creative Talent of Yangzhou City, Jiangsu Province

      2016  elected:Honorary Title of Outstanding Communist Party Member of Wuhan University

      2016  elected:Honorary Title of Progressive Individual for Major Evaluation at Wuhan University

      2015  elected:湖北省优秀学士论文指导教师

      2015  elected:Honorary Title of Outstanding Navigator for Students of Wuhan University

      2014  elected:Honorary Title of the Yellow Crane Talent of Wuhan City

      2013  elected:Honorary Title of Representatives of the CPC Congress of Wuhan University

      2013  elected:Honorary Title of Progressive Individual for Teaching and Educating at Wuhan University
Other Contact Information
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Current position: Home   >   Student Information

李不依

  • Date:2018-12-03
  • Hits:
  • Major: 

    Software Engineering
  • Research Focus: 

    金融信息工程
  • Personal Profile: 


    本文主要是利用对手模型设计并且实现了德州扑克牌手程序。德州扑克共有手牌、悬牌、转牌以及河牌四个阶段。在德州扑克手牌阶段,通过对两张手牌、玩家位置进行评估,结合其他玩家的下注策略,建立基于领域知识的对手模型,快速地作为决策。在悬牌阶段,三张公牌发下来,对玩家牌型有了决定性的影响,玩家处于成牌、听牌和咋唬三种状态之中。转牌和河牌阶段,通过建立概率统计和决策树算法的对手模型,对玩家手牌进行预测,进而评估分析赢得概率以及赔率,从而选择最有利的下注策略。
    本文实现的德州扑克牌手程序能够在手牌阶段快速地选择下注策略,在悬牌阶段使用概率统计模型能够很准确地计算出成牌概率、总注概率、下注概率、隐含概率。在转牌和河牌阶段,建立基于决策树的对手模型,找到每个游戏阶段最优的分类属性,为下注提供最优的策略指导。本文实现了基于对手模型的德州扑克牌手程序最接近人脑的思考流程,简单而且容易被理解,而基于决策树对手模型的不足在于游戏的翻牌次数很少,建立的决策树分类精度有影响。基于本文实现的德州扑克牌手程序参加了华为软件精英挑战赛,在武汉长沙赛区首先进入32强,接着打入前8强(第3名),最后进入前4强(第2名)。
  • Education Level: 

    研究生毕业
  • Degree: 

    硕士
  • Current Status: 

    离校
  • Graduation Thesis Title: 

    《基于对手模型的德州扑克牌手程序设计与实现》
  • Student ID: 

    2014282160034
  • Date of Registration: 

    2014-09-01
  • Date of Graduation: 

    2016-06-30