A Design Framework for Scalable and Adaptive Multi-Agent Coordination in Dynamic Environments: Addressing Concurrent Agent and Environment Interactions

In dynamic environments, such as box-pushing tasks, multi-agent systems (MAS) face significant challenges in coordinating agents within high-density settings while managing uncertainties arising from fluctuations in agent configurations and environmental dynamics. In this study, we explore the integ...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Raza Muhammad Kazim, Guoxin Wang, Zhenjun Ming, Jinhui Cao, Janet K. Allen, Farrokh Mistree
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Multi-agent reinforcement learning adaptive learning rate box-pushing task multi-agent system dynamic environments scalability
Online Access:	https://ieeexplore.ieee.org/document/10965637/