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Topic: Learning-based Multi-agent Systems

A special issue of Intelligence & Robotics

ISSN 2770-3541 (Online)

Submission deadline: 31 Dec 2022

Guest Editor(s)

  • Prof. Xin Xu
    College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan, China.

    Website | E-mail

  • Prof. Zongzhang Zhang
    School of Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, China.

    Website | E-mail

  • Prof. Jianye Hao
    College of Intelligence and Computing, Tianjin University, Tianjin, China.

    Website | E-mail

Special Issue Introduction

Nowadays, artificial intelligence is moving from individual intelligence to collective intelligence. As the core research field of artificial intelligence, the development of multi-agent systems is a major thrust towards general artificial intelligence. The research on multi-agent learning is an interdisciplinary subject in different fields, such as cybernetics, machine learning, operations research, and game theory. A multi-agent system is composed of multiple agents, which interact in a shared environment to achieve common or conflicting goals and has a wide range of application prospects in the field of unmanned systems, such as unmanned vehicles, unmanned aircraft, unmanned ships, unmanned submarines, etc.

However, learning in multi-agent environments has to deal with challenging problems such as high-dimensionality, distributed incomplete information, complex cooperation mechanism, convergence to optimal solutions with nonstationary environments. As an emerging field, the multi-agent system based on learning has many research prospects in the theoretical basis of multi-agent systems, distributed optimization methods, and other theoretical methods, as well as the basic platform of multi-agent systems and innovative applications. The focus of this special issue is to bring together the research progress and ideas from different aspects in the field of multi-agent learning so that the research in this area can be effectively promoted.

Scope of the Special Issue
We invite submissions on all topics of research on the multi-agent system based on learning, including but not limited to:
● Multi-agent system decision-making and planning
● Learning methods for multi-agent sensing and positioning technology
● Multi-agent reinforcement learning
● Learning-based multi-agent cooperative control
● Deep reinforcement learning for multi-agent systems
● Interaction mechanisms for learning in multi-agent systems
● Learning for multi-agent communication
● Innovative application of multi-agent systems
● Applications of multi-agent learning in real-world problems

Submission Deadline

31 Dec 2022

Submission Information

Articles of special issue are free of charge for article processing.
For Author Instructions, please refer to
For Online Submission, please login at
Submission Deadline: 31 Dec 2022
Contacts: Jane Pang, Assistant Editor,

Published Articles

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