Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret
Rui Sun,
Zhi Zheng,
Zhenkun Wang
Abstract:Deep-reinforcement-learning (DRL) based neural combinatorial optimization (NCO) methods have demonstrated efficiency without relying on the guidance of optimal solutions. As the most mainstream among them, the learning constructive heuristic (LCH) achieves high-quality solutions through a rapid autoregressive solution construction process. However, these LCH-based methods are deficient in convergency, and there is still a performance gap compared to the optimal. Intuitively, learning to regret some steps in th… Show more
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