With breakthrough of AlphaGo, AI in human-computer game has become a very hot topic attracting researchers all around the world, which usually serves as an effective standard for testing artificial intelligence. Various game AI systems (AIs) have been developed such as Libratus, OpenAI Five and AlphaStar, beating professional human players. In this paper, we survey recent successful game AIs, covering board game AIs, card game AIs, first-person shooting game AIs and real time strategy game AIs. Through this survey, we 1) compare the main difficulties among different kinds of games for the intelligent decision making field ; 2) illustrate the mainstream frameworks and techniques for developing professional level AIs; 3) raise the challenges or drawbacks in the current AIs for intelligent decision making; and 4) try to propose future trends in the games and intelligent decision making techniques. Finally, we hope this brief review can provide an introduction for beginners, inspire insights for researchers in the filed of AI in games.
翻译:随着阿尔法戈的突破,人类计算机游戏中的AI成为吸引世界各地研究人员的一个非常热门的主题,通常成为测试人工智能的有效标准。已经开发了各种游戏AI系统,如Libratus、OpenAI 5和AlphaStar等,以殴打专业的人类玩家。在本文中,我们调查最近成功的游戏AI,包括游戏AI、卡游戏AI、第一人射击游戏AI和实时战略游戏AI。通过这次调查,我们 (1) 比较不同类型游戏中的主要困难,以利智能决策领域;(2) 说明开发专业AI的主流框架和技术;(3) 提出当前AI系统在智能决策方面的挑战或缺陷;(4) 试图提出游戏和智能决策技术的未来趋势。最后,我们希望这一简要审查能够为新手提供介绍,为在游戏中的AI归档的研究人员提供洞察力。