articleJournal of Automation and IntelligenceFeb 17, 2024DIAMOND OA

A survey on multi-agent reinforcement learning and its application

ZNZepeng NingLXLihua Xie

Nanyang Technological University

Indexed incrossrefdoaj

Abstract

Multi-agent reinforcement learning (MARL) has been a rapidly evolving field. This paper presents a comprehensive survey of MARL and its applications. We trace the historical evolution of MARL, highlight its progress, and discuss related survey works. Then, we review the existing works addressing inherent challenges and those focusing on diverse applications. Some representative stochastic games, MARL means, spatial forms of MARL, and task classification are revisited. We then conduct an in-depth exploration of a variety of challenges encountered in MARL applications. We also address critical operational aspects, such as hyperparameter tuning and computational complexity, which are pivotal in practical…

Citation impact

120
total citations
FWCI
38.13
Percentile
100%
References
266
Citations per year

Authors

2

Topics & keywords

Topics
Keywords
  • Marl
  • Reinforcement learning
  • Benchmark (surveying)
  • Computer science
  • Task (project management)
  • Implementation
  • Data science
  • Artificial intelligence
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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