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Conferences > OFC > 2020 > M1B > M1B.3

Exploiting Multi-Task Learning to Achieve Effective Transfer Deep Reinforcement Learning in Elastic Optical Networks

Xiaoliang Chen, Roberto Proietti, Che-Yu Liu, Zuqing Zhu, and S. J. Ben Yoo

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Abstract

We propose a multi-task-learning-aided knowledge transferring approach for effective and scalable deep reinforcement learning in EONs. Case studies with RMSA show that this approach can achieve ∼ 4× learning time reduction and ∼17.7% lower blocking probability.

© 2020 The Author(s)

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