Improving The Scalability Of Deep Reinforcement Learning-Based Routing With Control On Partial Nodes

Machine Learning (ML)-based routing optimization has been proposed to optimize the performance of flow routing for future networks, such as Software-Defined Networks (SDNs). However, existing studies are either hard to converge for large networks or vulne
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