Author

John S. Vardakas

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#edge computing Preprint Nov 2026

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. · 0 citations

Jul 2026

Adaptive Offloading Control in 6G Cell-Free O-RAN Using Reinforcement Learning

Open Radio Access Networks (O-RAN) enable programmable radio access architectures in which learning-based intelligence at the RAN Intelligent Controller (RIC) supports adaptive resource management in future 6G systems. To address the dynamic and heterogeneous traffic conditions observed at the regional edge, we propose...

Pouya Mehdizadeh, Golshan Famitafreshi, John S. Vardakas et al. · International Symposium on C... · 0 citations