摘要
总结了国内外人工智能技术在游戏领域的研究进展,分析了游戏领域的研究进步对于现实社会的意义。针对强化学习中免模型方法存在的仿真与真实的鸿沟、基于模型的方法缺乏通用性的问题,提出平行博弈的思想和方法,介绍了平行博弈在解决现有单角色博弈和多角色博弈问题上的先进之处。认为虚实结合的平行博弈方法将成为迈向通用人工智能的奠基石。
The domestic and overseas research progress of artificial intelligence technology in the field of games was summarized and the significance of the research progress in the field of games for real life was analyzed.In view of the gap between simulation and reality in model based methods and the lack of generality of the model-based approach in reinforcement learning,the idea and method of parallel game were put forward,and the advance of parallel game in solving the existing problems of single-role game and multi-role game was introduced.The parallel game method will be the cornerstone of the general artificial intelligence.
作者
沈宇
韩金朋
李灵犀
王飞跃
SHEN Yu;HAN Jinpeng;LI Lingxi;WANG Fei-Yue(School of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing 100049,China;The State Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China;School of Software Engineering,Xi’an Jiaotong University,Xi’an 710049,China;Department of Electrical and Computer Engineering,Indiana University-Purdue University Indianapolis,Indianapolis IN 46202,USA;Qingdao Academy of Intelligent Industries,Qingdao 266109,China)
出处
《智能科学与技术学报》
2020年第3期205-213,共9页
Chinese Journal of Intelligent Science and Technology
关键词
游戏智能
多角色博弈
平行博弈
深度强化学习
人工智能
game intelligence
multi-role game
parallel game
deep reinforcement learning
artificial intelligence
