A Machine Learning Approach to Routing
arXiv:1708.03074v240 citations
Originality Synthesis-oriented
AI Analysis
This addresses routing optimization for network systems, but it appears incremental as it builds on existing machine learning techniques.
The paper tackled the problem of automatically generating effective routing configurations by applying deep reinforcement learning, achieving high performance results.
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.