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Case-based strategies in computer poker

机译：计算机扑克中基于案例的策略

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摘要

The state-of-the-art within Artificial Intelligence has directly benefited from research conducted within the computer poker domain. One such success has been the advancement of bottom up equilibrium finding algorithms via computational game theory. On the other hand, alternative top down approaches, that attempt to generalise decisions observed within a collection of data, have not received as much attention. In this work we employ a top down approach in order to construct case-based strategies within three computer poker domains. Our analysis begins within the simplest variation of Texas Hold'em poker, i.e. two-player, limit Hold'em. We trace the evolution of our case-based architecture and evaluate the effect that modifications have on strategy performance. The end result of our experimentation is a coherent framework for producing strong case-based strategies based on the observation and generalisation of expert decisions. The lessons learned within this domain offer valuable insights, that we use to apply the framework to the more complicated domains of two-player, no-limit Hold'em and multi-player, limit Hold'em. For each domain we present results obtained from the Annual Computer Poker Competition, where the best poker agents in the world are challenged against each other. We also present results against human opposition.
机译：人工智能领域的最新技术直接受益于在计算机扑克领域内进行的研究。这样的成功之一就是通过计算博弈论改进了自下而上的平衡发现算法。另一方面，试图概括从数据集合中观察到的决策的自上而下的替代方法并未引起足够的重视。在这项工作中，我们采用自上而下的方法，以便在三个计算机扑克域内构建基于案例的策略。我们的分析始于德州扑克的最简单变体，即两人限制德州扑克。我们跟踪基于案例的体系结构的演变，并评估修改对策略性能的影响。我们实验的最终结果是一个连贯的框架，该框架可基于对专家决策的观察和概括来产生基于案例的强大策略。在此领域中吸取的教训提供了宝贵的见解，我们将其用于将框架应用于两人无限注德州扑克和多人无限注德州扑克的较复杂领域。对于每个领域，我们都会展示从年度计算机扑克比赛中获得的结果，在这个比赛中，世界上最好的扑克经纪人将相互挑战。我们还提出了反对人类反对的结果。

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  • 来源
    《AI communications》 |2012年第1期|p.19-48|共30页
  • 作者

    Jonathan Rubin; Ian Watson;

  • 作者单位

    Department of Computer Science, University of Auckland Game AI Group, Auckland, New Zealand;

    Department of Computer Science, University of Auckland Game AI Group, Auckland, New Zealand;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    imperfect information games; game AI; case-based reasoning;

    机译：不完善的信息游戏;游戏AI;基于案例的推理;

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