Introduction to the special section on learning and security for multi-agent systems

Quanyan Zhu, Hideaki Ishii

Research output: Contribution to journalArticlepeer-review


This special section features six articles that provide an overview of the emerging research topics at the intersection learning, security, and multi-agent systems. Recent years have witnessed a surge in the number of works at their intersections, and they have appeared in system and control communities as well as many other communities in artificial intelligence, cyber–physical systems, and economics. The articles in this special section give accessible and comprehensive tutorials and surveys for a broad systems and control audience, covering topics including adversarial machine learning, multi-agent reinforcement learning, cyber resilience, resilient control systems, and game design. It is hopeful that this special section will spawn future interest and cross-disciplinary collaborations in this emerging transdisciplinary research area.

Original languageEnglish (US)
Pages (from-to)249-251
Number of pages3
JournalAnnual Reviews in Control
StatePublished - Jan 2022


  • Control system security
  • Machine learning
  • Mechanism design
  • Multi-agent systems
  • Reinforcement learning
  • Security and resilience

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering


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