• Corpus ID: 239998492

Learning Collaborative Policies to Solve NP-hard Routing Problems

@article{Kim2021LearningCP,
  title={Learning Collaborative Policies to Solve NP-hard Routing Problems},
  author={Minsu Kim and Jinkyoo Park and Joungho Kim},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.13987}
}
Recently, deep reinforcement learning (DRL) frameworks have shown potential for solving NP-hard routing problems such as the traveling salesman problem (TSP) without problem-specific expert knowledge. Although DRL can be used to solve complex problems, DRL frameworks still struggle to compete with state-of-the-art heuristics showing a substantial performance gap. This paper proposes a novel hierarchical problem-solving strategy, termed learning collaborative policies (LCP), which can… 
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