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Xueyong Xu

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2026

Learn to Recover: Deep Reinforcement Learning for Failure Recovery in Large Networks

Proactive link recovery approaches have been approved to be efficient by pre-calculating and installing backup routing paths in advance. Once a link failure happens, the switches on data plane directly change to next available pre-calculated path, saving time from communications and path re-calculations. However, exist...

Yan Lyu, Zhiyu Fan, Hong Ji et al. · 0 citations

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