MAGC-RSA: multi-agent graph convolutional reinforcement learning for distributed routing and spectrum assignment in elastic optical networks
Résumé
This paper proposes MAGC-RSA, a Multi-Agent Graph Convolutional Reinforcement Learning approach, to solve the Routing and Spectrum Assignment (RSA) problem in a distributed manner. A blocking probability reduction of 80% can be achieved compared to the Shortest Path First-Fit approach.