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.