Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch-Reference-Cited by-同舟云学术

Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch

Published:2022-08-21 Issue: Volume: Page:
ISSN:
Container-title:2022 26th International Conference on Pattern Recognition (ICPR)
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Author:

Zhang Tianyu¹,Banitalebi-Dehkordi Amin²,Zhang Yong²

Affiliation:

1. University of Alberta,Edmonton,Canada

2. Huawei Technologies Canada Co., Ltd.,Vancouver,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9956007/9955631/09956256.pdf?arnumber=9956256

Reference39 articles.

1. Ml4co: Is gcnn all you need? graph convolutional neural networks produce strong baselines for combinatorial optimization problems, if tuned and trained properly, on appropriate data;banitalebi-dehkordi,2021

2. Ml4co-kida: Knowledge inheritance in dataset aggregation;cao,2022

3. A comparison of heuristics and relaxations for the capacitated plant location problem

4. Towards a universal test suite for combinatorial auction algorithms

5. Set covering algorithms using cutting planes, heuristics, and subgradient optimization: A computational study

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