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…