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Multi-agent reinforcement learning driven resource game optimization for network slicing in MEC-enabled HetNets

¹College of Artificial Intelligence, Chongqing Technology and Business University, Chongqing, 400067, China. maokai@ctbu.edu.cn.

Scientific Reports

|December 23, 2025

Summary

No abstract available in PubMed .

Keywords:

Evolutionary game theory (EGT)Intelligent optimization Mobile edge computing (MEC)Multi-intelligence reinforcement learning (MARL)Network slicing Quality of service (QoS)Resource allocation

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