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›› 2004, Vol. 30 ›› Issue (03): 44-.

• 论文 • 上一篇    下一篇

强化学习对信息融合系统的改进

范波,潘泉,张洪才,程咏梅   

  1. 西北工业大学自动控制系,西北工业大学自动控制系,西北工业大学自动控制系,西北工业大学自动控制系 西安 710072
  • 发布日期:2004-02-15

Information Fusion System Improvement Based on Reinforcement Learning

FAN Bo,PAN Quan,ZHANG Hongcai,CHENG Yongmei   

  1. ( Dept. of Automatic Control, Northwestern Poly-technology University, Xi'an 710072)
  • Published:2004-02-15

摘要: 通过分析和研究强化学习的结构和算法,将其引入到信息融合系统中,提出了基于强化学习的信息融合系统,并讨论了它的应用和发展。通过对多智能技术的借鉴,使信息融合系统有进一步的发展。

关键词: 信息融合, 强化学习, 多智能体系统

Abstract: In this paper, the reinforcement learnings architecture and algorithm are analyzed and introduced to information fusion system. It presents the information fusion system based on reinforcement learning and discusses its application and development. With the use for reference from multi-agent technology, information fusion system will make a great progress.

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