Reconfiguring Multicast Sessions in EONs Adaptively with Deep Reinforcement Learning: (Invited Paper)

Abstract

We proposed a deep reinforcement learning (DRL) based approach to reconfigure the multicast sessions in an elastic optical network (EON) adaptively. Simulation results demonstrate that our proposal maintains the optimality of light-trees with less reconfigurations and reduces blocking probability.