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App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 1

Research on multi Agent computing offloading based on dual delay deep deterministic policy gradient algorithm

Wang Jing1a,1b
Yang Ke1a
Dan Wenshi1a
Yan Lingyu1a,1b
Tang Xing2
1. a. School of Computer Science, b. Hubei Provincial Key Laboratory of Green Intelligent Computing Power Network, Hubei University of Technology, Wuhan Hubei 430068, China
2. School of Computer Science & Artificial Intelligence, Wuhan University of Technology, Wuhan Hubei 430070, China
DOI: 10.19734/j.issn.1001-3695.2025.06.0186

Abstract

This paper proposed a multi-agent-based dual-delay deep deterministic policy gradient algorithm for vehicular computing offloading to achieve low latency and low energy consumption in scenarios with unpredictable task distributions and time-varying environmental states. It considered vehicle positions, connection times, communication resources, and available computing resources to establish a vehicular computing offloading model, and further formulates an optimization model to minimize the average execution cost of computing tasks. It formalized the problem as a multi-agent Markov decision process. It then proposed a multi-agent dual-delay deep deterministic policy gradient algorithm to solve the problem and achieve efficient task offloading optimization. Experimental results demonstrated that the proposed scheme exhibits greater robustness under time-varying network conditions. Moreover, it achieved an approximately 18% reduction in the weighted sum of latency and energy consumption compared to baseline algorithms. Comparative experiments and analyses demonstrate that the proposed scheme enables efficient computing offloading in complex dynamic networks while effectively balancing latency and energy consumption.

Foundation Support

国家自然科学基金资助项目(62272356,62302155,62472149)
湖北省自然科学基金面上类资助项目(2021CFB606)
湖北省教学研究资助项目(2022296)
湖北工业大学博士科研基金资助项目(BSQD2020062)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.06.0186
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 1

Publish History

[2025-09-14] Accepted Paper

Cite This Article

王菁, 杨柯, 但文诗, 等. 基于双延迟深度确定性策略梯度算法的多智能体计算卸载研究 [J]. 计算机应用研究, 2026, 43 (1). (2025-09-17). https://doi.org/10.19734/j.issn.1001-3695.2025.06.0186. (Wang Jing, Yang Ke, Dan Wenshi, et al. Research on multi Agent computing offloading based on dual delay deep deterministic policy gradient algorithm [J]. Application Research of Computers, 2026, 43 (1). (2025-09-17). https://doi.org/10.19734/j.issn.1001-3695.2025.06.0186. )

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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