Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 12
3656-3661

Research on collaborative strategy based on GAED-MADDPG multi-agent reinforcement learning

Zou Changjie
Zheng Jiaoling
Zhang Zhonglei
Software College, Chengdu University of Information Technology, Chengdu 610225, China
DOI: 10.19734/j.issn.1001-3695.2019.09.0546

Abstract

At present, multi-agent reinforcement learning algorithms mostly adopt frameworks that are centralized in learning and decentralized in action. These frameworks may take too long to converge or may not converge at all. In order to speed up the collective learning time of multi-agents, this paper proposed a novel multi-agent group learning strategy. It used recurrent neural network(RNN) to predict the grouping matrix of multi-agents to share the experience between them, resulting in improved learning efficiency within the multi-agents group. Meanwhile, this paper proposed the concept of information trace to remedy the problem that the agents could not share information brought by the grouping. In order to strengthen the retention of excellent experience within the group, this paper proposed the practice of delaying the death time of excellent agents in the group. Finally, the results show that, compared to MADDPG, the training time is reduced by 12% in the labyrinth experiment and by 17% in capture the flag experiment.

Foundation Support

国家自然科学基金资助项目(61772091,61802035)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.09.0546
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 12
Section: Algorithm Research & Explore
Pages: 3656-3661
Serial Number: 1001-3695(2020)12-027-3656-06

Publish History

[2020-12-05] Printed Article

Cite This Article

邹长杰, 郑皎凌, 张中雷. 基于GAED-MADDPG多智能体强化学习的协作策略研究 [J]. 计算机应用研究, 2020, 37 (12): 3656-3661. (Zou Changjie, Zheng Jiaoling, Zhang Zhonglei. Research on collaborative strategy based on GAED-MADDPG multi-agent reinforcement learning [J]. Application Research of Computers, 2020, 37 (12): 3656-3661. )

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  • Application Research of Computers Monthly Journal
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    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.

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