AI Poker Agent based on Game Theory

机译：AI扑克代理基于博弈论

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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

机译：博弈论与战略互动决策的数学研究。在AI空间中最明显的领域领土中，游戏是一个突出突出的佼佼者。 AI系统掌握了国际象棋，危险和去的精彩信息游戏。然而，像扑克的没有限制德克萨斯州普拉姆的不完美信息游戏是对AI产业的挑战。在本文中，我们突出了博弈论的重要性以及博弈论和对手建模的概念在建模AI扑克代理时同样重要

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《International Conference on Advanced Technologies in Intelligent Control, Environment, Computing and Communication Engineering》|2019年|1 v.|共4页
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C. Nandini; Sachin Kumar; R Laasya;
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中图分类计算技术、计算机技术;
关键词
Games; Artificial intelligence; Nash equilibrium; Rivers; Mathematical model; Minimization;

机译：游戏;人工智能;纳什均衡;河流;数学模型;最小化;

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4. AI Poker Agent based on Game Theory [C] . C. Nandini, Sachin Kumar, R Laasya International Conference on Advanced Technologies in Intelligent Control, Environment, Computing and Communication Engineering . 2019

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5. Regret minimization in games and the development of champion multiplayer computer poker-playing agents. [D] . Gibson, Richard. 2014

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7. Building a No Limit Texas Hold’em Poker Agent Based on Game Logs using Supervised Learning [O] . Luís Filipe Teófilo, Luís Paulo Reis 2014

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AI Poker Agent based on Game Theory

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