3 papers
cs.NI2025
Towards Practical Operation of Deep Reinforcement Learning Agents in Real-World Network Management at Open RAN Edges
Haiyuan Li, Hari Madhukumar, Peizheng Li +6
Deep Reinforcement Learning (DRL) has emerged as a powerful solution for meeting the growing demands for connectivity, reliability, low latency and operational efficiency in advanc…
eess.SP2025
A Heuristic-Integrated DRL Approach for Phase Optimization in Large-Scale RISs
Wei Wang, Peizheng Li, Angela Doufexi +1
Optimizing discrete phase shifts in large-scale reconfigurable intelligent surfaces (RISs) is challenging due to their non-convex and non-linear nature. In this letter, we propose…
cs.LG2025
Green MLOps to Green GenOps: An Empirical Study of Energy Consumption in Discriminative and Generative AI Operations
Adrián Sánchez-Mompó, Ioannis Mavromatis, Peizheng Li +2
This study presents an empirical investigation into the energy consumption of Discriminative and Generative AI models within real-world MLOps pipelines. For Discriminative models,…