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2002.03282
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A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems
International Symposium on Intelligence Computation and Applications (ISICA), 2020
9 February 2020
Bo Peng
Jiahai Wang
Zizhen Zhang
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Papers citing
"A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems"
33 / 33 papers shown
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Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
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Di Wang
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Symmetry-preserving graph attention network to solve routing problems at multiple resolutions
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Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization
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Siyuan Chen
308
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22 Oct 2023
Using Reinforcement Learning for the Three-Dimensional Loading Capacitated Vehicle Routing Problem
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Stephen Mak
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211
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Multi-Start Team Orienteering Problem for UAS Mission Re-Planning with Data-Efficient Deep Reinforcement Learning
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09 Jan 2023
A deep learning Attention model to solve the Vehicle Routing Problem and the Pick-up and Delivery Problem with Time Windows
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294
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20 Dec 2022
Combining Constructive and Perturbative Deep Learning Algorithms for the Capacitated Vehicle Routing Problem
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Alitzel Adriana Macias-Infante
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Hugo Terashima-Marín
186
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Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation
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Jieyi Bi
Yining Ma
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Yuan Sun
Yeow Meng Chee
305
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14 Oct 2022
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
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Zhiqing Sun
Yiming Yang
391
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08 Oct 2022
How Good Is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem
IEEE Computational Intelligence Magazine (IEEE CIM), 2022
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Yu Zhang
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Xin Yao
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Deep-Steiner: Learning to Solve the Euclidean Steiner Tree Problem
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Yifan Wang
G. Tong
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Attention, Filling in The Gaps for Generalization in Routing Problems
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Jonas K. Falkner
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Sample-Efficient, Exploration-Based Policy Optimisation for Routing Problems
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Jeffrey Chan
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31 May 2022
Learning to Solve Vehicle Routing Problems: A Survey
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Meraryslan Meraliyev
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215
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Solving Dynamic Graph Problems with Multi-Attention Deep Reinforcement Learning
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18 Oct 2021
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem
IEEE/CAA Journal of Automatica Sinica (IEEE/CAA J. Autom. Sinica), 2021
Bingjie Li
Guohua Wu
Yongming He
Mingfeng Fan
Witold Pedrycz
321
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15 Jul 2021
Efficient Active Search for Combinatorial Optimization Problems
International Conference on Learning Representations (ICLR), 2021
André Hottung
Yeong-Dae Kwon
Kevin Tierney
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09 Jun 2021
A Deep Reinforcement Learning Approach for the Meal Delivery Problem
Knowledge-Based Systems (KBS), 2021
H. Jahanshahi
Aysun Bozanta
Mucahit Cevik
E. M. Kavuk
Ayse Tosun Misirli
Sibel B. Sonuc
Bilgin Kosucu
Ayse Basar
287
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24 Apr 2021
Where the Action is: Let's make Reinforcement Learning for Stochastic Dynamic Vehicle Routing Problems work!
Florentin D Hildebrandt
Barrett Thomas
M. Ulmer
175
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28 Feb 2021
Deep Policy Dynamic Programming for Vehicle Routing Problems
Integration of AI and OR Techniques in Constraint Programming (CPAIOR), 2021
W. Kool
H. V. Hoof
J. Gromicho
Max Welling
383
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23 Feb 2021
Analytics and Machine Learning in Vehicle Routing Research
International Journal of Production Research (IJPR), 2021
Ruibin Bai
Xinan Chen
Zhi-Long Chen
Tianxiang Cui
Shuhui Gong
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Jianfeng Ren
Paul Weng
Ning Xue
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349
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19 Feb 2021
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning
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Yeong-Dae Kwon
Jinho Choo
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Iljoo Yoon
Youngjune Gwon
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460
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Deep Reinforcement Learning and Transportation Research: A Comprehensive Review
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T. Ahamed
Limon Barua
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210
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Real-Time Neural Network Scheduling of Emergency Medical Mask Production during COVID-19
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Min-Hui Liao
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271
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Reinforcement Learning for Combinatorial Optimization: A Survey
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S. Sviridov
Sergei Ivanov
Evgeny Burnaev
540
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Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning
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255
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