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A Machine Learning Approach to Routing

Networking and Internet Architecture 2017-11-15 v2 Machine Learning
Authors: Asaf Valadarsky , Michael Schapira , Dafna Shahaf , Aviv Tamar
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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.

Keywords

machine learning reinforcement learning algorithm selection

Cite

@article{arxiv.1708.03074,
  title  = {A Machine Learning Approach to Routing},
  author = {Asaf Valadarsky and Michael Schapira and Dafna Shahaf and Aviv Tamar},
  journal= {arXiv preprint arXiv:1708.03074},
  year   = {2017}
}

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