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Machine-Learning-Aided Service Provisioning in Multi-Domain Optical Networks

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This paper discusses testbed experiments and algorithms for machine-learning-aided service provisioning in multi-domain optical networks. Experimental results of hierarchical learning for QoT estimation of end-to-end lightpaths and a multi-agent DRL-based RMSA algorithm are presented.

© 2019 The Author(s)

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