A Machine Learning Approach to Routing

TL;DR

This paper explores using deep reinforcement learning to automatically generate effective routing configurations, demonstrating promising results and encouraging further research in data-driven routing protocols.

Contribution

It introduces a novel application of deep reinforcement learning to routing configuration generation, showing its potential for high performance.

Findings

Deep reinforcement learning achieves high-quality routing configurations.

Data-driven approaches outperform traditional routing methods.

Results motivate further research in machine learning for routing.

Abstract

Can ideas and techniques from machine learning be leveraged to automatically generate "good" routing configurations? We investigate the power of data-driven routing protocols. Our results suggest that applying ideas and techniques from deep reinforcement learning to this context yields high performance, motivating further research along these lines.