# A Machine Learning Approach to Routing

arXiv: https://arxiv.org/abs/1708.03074 · HTML: https://mlsanity.com/paper/1708.03074/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 10 Aug 2017.

## Built on by (most cited first, 2 of 2)

- [LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations](https://mlsanity.com/paper/1808.07903/) (2018)
- [Using Deep Reinforcement Learning for mmWave Real-Time Scheduling](https://mlsanity.com/paper/2210.01423/) (2022)

## Abstract (arXiv)

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.