A Machine Learning Approach to Routing

August 10, 2017 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Asaf Valadarsky, Michael Schapira, Dafna Shahaf, Aviv Tamar arXiv ID 1708.03074 Category cs.NI: Networking & Internet Cross-listed cs.LG Citations 39 Venue arXiv.org Last Checked 6 months ago
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.
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