RAGAM-AI: A Hybrid Reinforcement Learning based Agentic approach powered by Generative AI for Edge Resource Management
This work proposes RAGAM-AI, a hybrid framework that combines the capabilities of RL algorithms and Generative-AI for powering an Agentic AI workflow that optimizes resource allocation at the Multi-access Edge Computing (MEC) units.
Shreya K. Chari, John S. Vardakas, Kostas Ramantas et al.
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