Arthur Corrêa

Improving Cross-Problem Vehicle Routing with Locally Augmented Preferences and Representation Disentanglement

Multi-task vehicle routing problem (VRP) solvers seek to handle multiple VRP variants within a single unified model, avoiding the need to train a separate model for every variant. In spite of recent progress, current approaches remain limited on two fronts. On the training side, reinforcement learning suffers from rewa...