2 papers
cs.LG2025
Reinforcement Learning-based Adaptive Path Selection for Programmable Networks
José Eduardo Zerna Torres, Marios Avgeris, Chrysa Papagianni +3
This work presents a proof-of-concept implementation of a distributed, in-network reinforcement learning (IN-RL) framework for adaptive path selection in programmable networks. By…
cs.IT2024
Cooperative Learning-Based Framework for VNF Caching and Placement Optimization over Low Earth Orbit Satellite Networks
Khai Doan, Marios Avgeris, Aris Leivadeas +2
Low Earth Orbit Satellite Networks (LSNs) are integral to supporting a broad range of modern applications, which are typically modeled as Service Function Chains (SFCs). Each SFC i…