{"title":"AI Poker Agent based on Game Theory","authors":"C. Nandini, Sachin Kumar, R. Laasya","doi":"10.1109/ICATIECE45860.2019.9063819","DOIUrl":null,"url":null,"abstract":"Game Theory missions with the mathematical study of decision making via strategic interactions. Games are a standout amidst the most evident territories of advancement in the AI space. The splendid information games like Chess, Jeopardy and Go have been mastered by the AI Systems. However, Imperfect information games like No Limit Texas Hold’em variant of poker is further yet a challenge to the AI Industry. In this paper we highlight the importance of Game Theory and how the concepts of game theory and opponent modeling is equally important in modeling an AI poker agent","PeriodicalId":106496,"journal":{"name":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICATIECE45860.2019.9063819","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

Game Theory missions with the mathematical study of decision making via strategic interactions. Games are a standout amidst the most evident territories of advancement in the AI space. The splendid information games like Chess, Jeopardy and Go have been mastered by the AI Systems. However, Imperfect information games like No Limit Texas Hold’em variant of poker is further yet a challenge to the AI Industry. In this paper we highlight the importance of Game Theory and how the concepts of game theory and opponent modeling is equally important in modeling an AI poker agent
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基于博弈论的AI扑克代理
博弈论的任务是通过战略互动进行决策的数学研究。游戏是AI领域最明显的进步领域之一。国际象棋、危险边缘和围棋等精彩的信息游戏已经被人工智能系统掌握。然而,不完全信息游戏,如扑克的无限德州扑克变体,对人工智能行业来说是一个进一步的挑战。在本文中,我们强调了博弈论的重要性,以及博弈论和对手建模的概念如何在AI扑克代理建模中同等重要
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