Survey on the Application of Deep Reinforcement Learning in Image Processing

作     者：Wei Fang Lin Pang Weinan Yi 

作者机构：School of Computer&SoftwareJiangsu Engineering Center of Network MonitoringNanjing University of Information Science&TechnologyNanjingChina State Key Laboratory for Novel Software TechnologyNanjing UniversityNanjingChina Jiangsu Key Laboratory of Computer Information Process TechnologySoochow UniversitySuzhouChina 

出 版 物：《Journal on Artificial Intelligence》 (人工智能杂志（英文）)

年 卷 期：2020年第2卷第1期

页      面：39-58页

学科分类：0502[文学-外国语言文学] 050201[文学-英语语言文学] 05[文学] 

基　　金：This work was supported in part by the Open Research Project of State Key Laboratory of Novel Software Technology under Grant KFKT2018B23 the Priority Academic Program Development of Jiangsu Higher Education Institutions,the 2018 Tiancheng Huizhi Innovation Promotion Education and Scientific Research Innovation Fund of the Ministry of Education under Grant 2018A03038 and the Open Project Program of the State Key Lab of CAD&CG(Grant No.A1916),Zhejiang University 

主　　题：Reinforcement learning image processing 

摘      要：feature representations from a large amount of data,and use reinforcement learning to learn the best strategy to complete the *** the combination of deep learning and reinforcement learning,end-to-end input and output can be achieved,and substantial breakthroughs have been made in many planning and decision-making systems with infinite states,such as games,in particular,AlphaGo,robotics,natural language processing,dialogue systems,machine translation,and computer *** this paper we have summarized the main techniques of deep reinforcement learning and its applications in image processing.