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Algorithm Research & Explore
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3661-3665

Improved algorithm for deep Q net

Xia Zongtao
Qin Jin
College of Computer Science & Technology, Guizhou University, Guiyang 550025, China

Abstract

There is a serious overestimation problem in deep Q net, which leads to reduce the ability of the agent to find the optimal strategy. In order to relieve the overestimation in deep Q net, this paper proposed a correction function to improve the evaluation function of deep Q net. When the selected action was the optimal action, the correction function was 1, and the current state-action value was not modified. When the selected action was not the optimal action, the correction function was less than 1, and the current state-action value was reduced. Thus the difference between non-optimal state-action values increased, reduced the impact of overestimation. Experiments show that the improved algorithm achieves better performance in Playing Atari 2600 and OpenAI Gym. It indicats that the improved algorithm can find a better strategy than deep Q net.

Foundation Support

国家自然科学基金资助项目(61562009)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0417
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Algorithm Research & Explore
Pages: 3661-3665
Serial Number: 1001-3695(2019)12-030-3661-05

Publish History

[2019-12-05] Printed Article

Cite This Article

夏宗涛, 秦进. 一种深度Q网络的改进算法 [J]. 计算机应用研究, 2019, 36 (12): 3661-3665. (Xia Zongtao, Qin Jin. Improved algorithm for deep Q net [J]. Application Research of Computers, 2019, 36 (12): 3661-3665. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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