Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 6
1692-1696,1701

Cooperative multi-agent TD3 algorithm under security constraints

Hao Yuzhe
Wang Zhenlei
Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science & Technology, Shanghai 200237, China
DOI: 10.19734/j.issn.1001-3695.2022.08.0549

Abstract

In a cooperative Markov game, each intelligence not only has to achieve a common goal, but also needs to ensure that the joint actions can satisfy the set constraints. Therefore, this paper proposed a cooperative multi-agent TD3 algorithm(MACTD3) under security constraints. Firstly, it used the attention mechanism to coordinate the actions of individual intelligences with the decision process constraints. Then it constructed a modified cost function using Lagrange multipliers. Further, in order to ensure the convergence of the algorithm, it was ensured that each intelligent body could satisfy the pre-defined constraints with different time-scale sub-learning policies. The parameters of the Actor-Critic network perform gradient descent while Lagrangian parameters on the long time scale. Finally, experimental results in heterogeneous and homogeneous cooperative multi-intelligent environments show that the MACTD3 algorithm can always obtain the minimum penalty cost compared with other algorithms. The scalability experiments by number show that MACTD3 can still satisfy the constraints with different numbers of intelligences, proving the effectiveness and scalability of the algorithm.

Foundation Support

国家自然科学基金重大项目课题(62293502,62173147)
中央高校基本科研业务费专项资金资助项目(222202317006)
高等学校学科创新引智计划资助项目(B17017)
上海人工智能实验室资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.08.0549
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 6
Section: Algorithm Research & Explore
Pages: 1692-1696,1701
Serial Number: 1001-3695(2023)06-014-1692-05

Publish History

[2023-01-18] Accepted Paper
[2023-06-05] Printed Article

Cite This Article

郝禹哲, 王振雷. 安全约束下合作型多智能体TD3算法 [J]. 计算机应用研究, 2023, 40 (6): 1692-1696,1701. (Hao Yuzhe, Wang Zhenlei. Cooperative multi-agent TD3 algorithm under security constraints [J]. Application Research of Computers, 2023, 40 (6): 1692-1696,1701. )

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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