Abstract
We first demonstrate a collaborative data-driven (using deep reinforcement learning) and model-driven (using experience knowledge) routing engine for cross-layer optimization in a real X-Haul testbed with a real dataset, which achieves 23% wavelength saving.
© 2022 The Author(s)
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