Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts 事件

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts arXiv:2605.26776v1 Announce Type: cross Abstract: In recent years, Deep Reinforcement Learning (DRL) has achieved substantial progress on Vehicle Routing Problems (VRPs). However, existing DRL-based methods are typically trained on instances generated from a uniform distribution, which limits their performance under real-world distribution shifts. In this paper, we aim to develop a generalization-oriente