Introduction to the Special Section on Learning-Based Modeling, Management, and Control for Computer and Communication Networks

Abstract

OMPUTER and communication networks are becoming larger and more complicated, generating a huge amount of run-time statistics data (such as traffic load, resource usages, etc.) every second. Meanwhile, emerging machine learning models and techniques, such as active learning, Deep Neural Networks (DNNs) and Deep Reinforcement Learning (DRL), have been shown to dramatically improve the state-of-the-art of many applications, including video/image processing, nat-ural language processing, game playing