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作 者:殷璐嘉[1] 王西宝 Yin Lu-jia;Wang Xi-Bao(The 28th Research Institute of China Electronics Technology Group Corporation,Jiangsu Nanjing 210007)
机构地区:[1]中国电子科技集团第二十八研究所,江苏南京210007
出 处:《电子质量》2021年第6期85-91,共7页Electronics Quality
摘 要:近几年针对以深度学习、强化学习为代表的人工智能(AI)理论和技术,已经在许多博弈对抗领域获得成功和突破,通过组织AI之间基于游戏平台或者仿真平台开展竞技对战,展示技术实力成为了当下的热点。提出了基于容器的AI对抗竞赛框架,使用容器、Kubernetes、云计算等技术,解决短时间内组织大规模AI对战比赛存在的组织效率低、数据统计困难等问题。经过实际竞赛的验证,该框架功能完备、性能优异,可靠性高,大大提高了比赛组织效率。In recent years,artificial intelligence(AI)theory and technology,represented by deep learning and reinforcement learning,have achieved success and breakthrough in many game confrontation fields.It has become a hot spot to show technical strength by organizing AI to carry out competitive competition based on game platform or simulation platform.This paper proposes a framework of AI Game Based on container,which uses container,kubernetes,cloud computing and other technologies to solve the problems of low organization efficiency and difficult data statistics in organizing large-scale AI Game in a short time.Through the verification of the actual competition,the framework has complete functions,excellent performance,high reliability,and greatly improves the efficiency of competition organization.
分 类 号:TP393.09[自动化与计算机技术—计算机应用技术]
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