Optical Network Routing by Deep Reinforcement Learning and Knowledge Distillation

We propose a knowledge distillation scheme for deep reinforcement learning-based optical networks. Distilling knowledge from the well-trained model of one traffic pattern to others traffic patterns, so that the latter's training more time-efficient and performance-effective.