HRL-VNEAP applies hierarchical RL to dynamic VNE with alternative topologies and reports up to 20.7% higher acceptance ratio than strong baselines on realistic networks.
Vne-hrl: A proactive virtual network embedding algorithm based on hierarchical reinforcement learning,
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Hierarchical Reinforcement Learning for the Dynamic VNE with Alternatives Problem
HRL-VNEAP applies hierarchical RL to dynamic VNE with alternative topologies and reports up to 20.7% higher acceptance ratio than strong baselines on realistic networks.