학술논문
AMAC: Attention-based Multi-Agent Cooperation for Smart Load Balancing
Document Type
Conference
Author
Source
NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium Network Operations and Management Symposium, NOMS 2023-2023 IEEE/IFIP. :1-7 May, 2023
Subject
Language
ISSN
2374-9709
Abstract
This paper proposes an Attention-based Multi-Agent Cooperation (AMAC) approach to reduce message exchange overhead in Multi-Agent Reinforcement Learning-based smart load balancing. AMAC shares only most relevant messages across agents to coordinate decision-making without degrading original performance. Experiments show that AMAC significantly lowers inter-agent communications overhead and learning complexity and outperforms multiple MARL benchmarks in Key Performance Indicators (KPIs) and Key Quality Indicators (KQIs).