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cs.NE2025
UCPO: A Universal Constrained Combinatorial Optimization Method via Preference Optimization
Zhanhong Fang, Debing Wang, Jinbiao Chen +2
Neural solvers have demonstrated remarkable success in combinatorial optimization, often surpassing traditional heuristics in speed, solution quality, and generalization. However,…
cs.LG2025
BOPO: Neural Combinatorial Optimization via Best-anchored and Objective-guided Preference Optimization
Zijun Liao, Jinbiao Chen, Debing Wang +2
Neural Combinatorial Optimization (NCO) has emerged as a promising approach for NP-hard problems. However, prevailing RL-based methods suffer from low sample efficiency due to spar…