2 papers
cs.LG2026
CADO: From Imitation to Cost Minimization for Heatmap-based Solvers in Combinatorial Optimization
Hyungseok Song, Deunsol Yoon, Kanghoon Lee +3
Heatmap-based solvers have emerged as a promising paradigm for Combinatorial Optimization (CO). However, we argue that the dominant Supervised Learning (SL) training paradigm suffe…
cs.LG2025
ARC: Leveraging Compositional Representations for Cross-Problem Learning on VRPs
Han-Seul Jeong, Youngjoon Park, Hyungseok Song +1
Vehicle Routing Problems (VRPs) with diverse real-world attributes have driven recent interest in cross-problem learning approaches that efficiently generalize across problem varia…