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20212025
most citedLearning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning

331 citations · 687 across the 5 of their papers we have counts for

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cs.LG2025

RRNCO: Towards Real-World Routing with Neural Combinatorial Optimization

Jiwoo Son, Zhikai Zhao, Federico Berto +4

The practical deployment of Neural Combinatorial Optimization (NCO) for Vehicle Routing Problems (VRPs) is hindered by a critical sim-to-real gap. This gap stems not only from trai…

cs.LG2023★ 23 cited

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark

Federico Berto, Chuanbo Hua, Junyoung Park +30

Combinatorial optimization (CO) is fundamental to several real-world applications, from logistics and scheduling to hardware design and resource allocation. Deep reinforcement lear…