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Optical Network Routing by Deep Reinforcement Learning and Knowledge Distillation

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Abstract

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.

© 2021 The Author(s)

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