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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 12
3635-3639

Application research of multi-agent layered reinforcement learning in data location

Hong Zhuangzhuang
Wan Zhongbao
Zhang Wei
Huang Zhaohua
Dept. of Software Engineering, East China Jiaotong University, Nanchang 330013, China
DOI: 10.19734/j.issn.1001-3695.2019.09.0527

Abstract

In order to achieve data location in the domain text, this paper regarded the text as the environment. Aiming at the dynamic and uncertainty of the text environment, this paper proposed a data location method based on multi-agent hierarchical reinforcement learning. The method utilized the characteristics of the hierarchical structure to decompose the system tasks into multiple subtasks, and the individual agents respectively learnt the corresponding subtasks, thereby limiting the strategy update to the smaller local space. And simultaneously utilizing the multi-agent system the identity of a single agent with the system's long-term goals, introduced a policy coordination mechanism, exchanged information between agents to discover trend information, and used the sharing technique to dynamically acquire online dynamic knowledge. The agent conducted trending inspiration and speeded up the convergence of the agent. It applied the method to the judgment documents in the judicial field, and the practical application results show that the proposed method can efficiently and accurately locate the target data in a large-scale complex and unknown text environment, and the average accuracy and F value can reach 96.6% and 98.2%, and has a good convergence speed. Therefore, this method can well realize data location in domain text, which has great theoretical and practical significance.

Foundation Support

国家重点研发计划项目(2018YFC0831106)
江西省自然科学基金资助项目(20122BAB201040)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.09.0527
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 12
Section: Algorithm Research & Explore
Pages: 3635-3639
Serial Number: 1001-3695(2020)12-023-3635-05

Publish History

[2020-12-05] Printed Article

Cite This Article

洪壮壮, 万仲保, 张薇, 等. 多agent分层强化学习在数据定位中的应用研究 [J]. 计算机应用研究, 2020, 37 (12): 3635-3639. (Hong Zhuangzhuang, Wan Zhongbao, Zhang Wei, et al. Application research of multi-agent layered reinforcement learning in data location [J]. Application Research of Computers, 2020, 37 (12): 3635-3639. )

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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