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Survey on the Application of Deep Reinforcement Learning in Image Processing

     

摘要

feature representations from a large amount of data,and use reinforcement learning to learn the best strategy to complete the task.Through 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 vision.In this paper we have summarized the main techniques of deep reinforcement learning and its applications in image processing.

著录项

  • 来源
    《人工智能杂志(英文)》|2020年第1期|39-58|共20页
  • 作者

    Wei Fang; Lin Pang; Weinan Yi;

  • 作者单位

    School of Computer&Software,Jiangsu Engineering Center of Network Monitoring,Nanjing University of Information Science&Technology,Nanjing,China;

    State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing,China;

    Jiangsu Key Laboratory of Computer Information Process Technology,Soochow University,Suzhou,China;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 英语;
  • 关键词

    Reinforcement learning; image processing;

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