arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1906.04439cs.AI
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人工智能在纸牌游戏中的应用综述

Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass

University of Fribourg(弗里堡大学);Luleå University of Technology(吕勒奥理工大学)

Joel Niklaus, Michele Alberti, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki

摘要:

在过去的几十年里,我们见证了人工智能在游戏中的成功应用。在这项工作中,我们解决了具有挑战性的领域的游戏,特别是隐藏的信息和纸牌游戏。Jass是瑞士非常受欢迎的纸牌游戏,与瑞士文化密切相关。据我们所知,人工智能代理在Jass游戏中的表现还没有超过顶级玩家。我们对社会的贡献是双重的。首先,我们提供了一个概述的当前国家的最先进的人工智能方法一般的纸牌游戏。其次,我们讨论他们的应用程序的用例的瑞士纸牌游戏Jass。本文旨在成为经验丰富的研究人员和新的从业者谁想要加入Jass挑战的切入点。

英文摘要:

In the last decades we have witnessed the success of applications of Artificial Intelligence to playing games. In this work we address the challenging field of games with hidden information and card games in particular. Jass is a very popular card game in Switzerland and is closely connected with Swiss culture. To the best of our knowledge, performances of Artificial Intelligence agents in the game of Jass do not outperform top players yet. Our contribution to the community is two-fold. First, we provide an overview of the current state-of-the-art of Artificial Intelligence methods for card games in general. Second, we discuss their application to the use-case of the Swiss card game Jass. This paper aims to be an entry point for both seasoned researchers and new practitioners who want to join in the Jass challenge.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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