Algorithm Research & Explore
|
2404-2410

Function approximation for policy gradients with parameter-based exploration

Zhao Tingting
Yang Mengnan
Chen Yarui
Wang Yuan
Yang Jucheng
College of Artificial Intelligence, Tianjin University of Science & Technology, Tianjin 300457, China

Abstract

Policy gradient algorithms suffer from the large variance of gradient estimation. the algorithm of policy gradient with parameter based exploration mitigates this problem to some extent. However, PGPE estimates its gradient based on the Monte Carlo, which requires a large number of samples to achieve the fairly stable policy update. And thus hinders its application in the real world problem. In order to further reduce the variance of policy gradient, the algorithm of function approximation for policy gradients with parameter-based exploration(PGPE-FA) implements the algorithm of PGPE in the Actor-Critic framework. More specifically, the proposed method utilized value function to estimate the policy gradient, instead of using trajectory samples to estimate the policy gradient as PGPE method does, thereby reducing the variance of gradient estimation. Finally, the experiment verifies that the proposed algorithm can reduce the variance of gradient estimation.

Foundation Support

国家自然科学基金资助项目(61976156)
天津市企业科技特派员资助项目(20YDTPJC00560)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.11.0781
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 8
Section: Algorithm Research & Explore
Pages: 2404-2410
Serial Number: 1001-3695(2023)08-025-2404-07

Publish History

[2023-03-08] Accepted Paper
[2023-08-05] Printed Article

Cite This Article

赵婷婷, 杨梦楠, 陈亚瑞, 等. 基于值函数估计的参数探索策略梯度算法 [J]. 计算机应用研究, 2023, 40 (8): 2404-2410. (Zhao Tingting, Yang Mengnan, Chen Yarui, et al. Function approximation for policy gradients with parameter-based exploration [J]. Application Research of Computers, 2023, 40 (8): 2404-2410. )

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.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)