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首页> 外文期刊>Computational Intelligence and AI in Games, IEEE Transactions on >A Distributed Agent for Computational Pool
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A Distributed Agent for Computational Pool

机译：分布式计算池代理

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摘要

Games with continuous state and action spaces present unique challenges from an artificial intelligence (AI) viewpoint. Billiards, or pool, is one such domain that has been the focus of several research efforts aimed at designing AI agents to play successfully. Due to the continuous nature of the actions, it is natural to believe that the more time an agent has to investigate actions, the better it will perform. This paper gives a thorough description of a successful agent with a novel distributed architecture, designed for being able to grant further time for shot simulation and analysis through the utilization of many CPUs. A brief analysis of the distributed component of the agent is presented, as well as how much the extra time thus obtained contributed to its success, especially when compared to its other novel components. The described agent, CueCard, won the Computer Olympiad computational pool tournament held in 2008.
机译：从人工智能（AI）的角度来看，具有连续状态和动作空间的游戏提出了独特的挑战。台球或台球就是这样的领域，这已成为旨在设计能够成功发挥作用的AI代理的多项研究工作的重点。由于这些行为具有连续性，因此自然可以相信，座席调查行为所花费的时间越长，执行效果就越好。本文全面介绍了具有新颖的分布式体系结构的成功代理，该体系结构旨在通过利用多个CPU来腾出更多时间进行镜头仿真和分析。简要分析了代理的分布式组件，以及由此获得的额外时间对成功的贡献有多大，特别是与其他新颖组件相比时。所述代理商CueCard赢得了2008年举行的计算机奥林匹克计算池比赛。

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