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2003.03600
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Reinforcement Learning for Combinatorial Optimization: A Survey
7 March 2020
Nina Mazyavkina
S. Sviridov
Sergei Ivanov
Evgeny Burnaev
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Papers citing
"Reinforcement Learning for Combinatorial Optimization: A Survey"
41 / 41 papers shown
Title
USPR: Learning a Unified Solver for Profiled Routing
Chuanbo Hua
Federico Berto
Zhikai Zhao
Jiwoo Son
Changhyun Kwon
Jinkyoo Park
44
0
0
08 May 2025
TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems
Arthur Corrêa
Cristóvão Silva
Liming Xu
Alexandra Brintrup
Samuel Moniz
53
0
0
16 Mar 2025
Causality Enhanced Origin-Destination Flow Prediction in Data-Scarce Cities
Tao Feng
Yunke Zhang
Huandong Wang
Yong Li
93
0
0
09 Mar 2025
Reinforcement learning with combinatorial actions for coupled restless bandits
Lily Xu
Bryan Wilder
Elias B. Khalil
Milind Tambe
67
1
0
01 Mar 2025
Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services
Zhao Li
Yang Liu
Chuan Zhou
Xuanwu Liu
Xuming Pan
Buqing Cao
Xindong Wu
60
0
0
17 Feb 2025
Solving Online Resource-Constrained Scheduling for Follow-Up Observation in Astronomy: a Reinforcement Learning Approach
Yajie Zhang
Ce Yu
Chao Sun
Jizeng Wei
Junhan Ju
Shanjiang Tang
44
0
0
16 Feb 2025
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
Shilong Zhang
Wenbo Li
Shoufa Chen
Chongjian Ge
Peize Sun
Y. Zhang
Yi-Xin Jiang
Zehuan Yuan
Binyue Peng
Ping Luo
DiffM
VGen
94
3
0
07 Feb 2025
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning
Jiapeng Zhu
Zichen Ding
Jianxiang Yu
Jiaqi Tan
Xiang Li
Weining Qian
OffRL
144
2
0
20 Jan 2025
Reinforcement Learning for Multi-Truck Vehicle Routing Problems
Randall Correll
Sean J. Weinberg
F. Sanches
Takanori Ide
Takafumi Suzuki
Alan Arai
21
2
0
31 Dec 2024
RL-MILP Solver: A Reinforcement Learning Approach for Solving Mixed-Integer Linear Programs with Graph Neural Networks
Tae-Hoon Lee
Min-Soo Kim
71
0
0
29 Nov 2024
Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling
Jesse van Remmerden
Z. Bukhsh
Yingqian Zhang
OffRL
OnRL
36
1
0
16 Sep 2024
RouteFinder: Towards Foundation Models for Vehicle Routing Problems
Federico Berto
Chuanbo Hua
Nayeli Gast Zepeda
André Hottung
N. Wouda
Leon Lan
Kevin Tierney
J. Park
Jinkyoo Park
48
10
0
21 Jun 2024
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Xuan Wu
Di Wang
Lijie Wen
Yubin Xiao
Chunguo Wu
Yuesong Wu
Chaoyu Yu
D. Maskell
You Zhou
60
4
0
01 Jun 2024
Model-based reinforcement learning for protein backbone design
Frederic Renard
Cyprien Courtot
Alfredo Reichlin
Oliver Bent
36
0
0
03 May 2024
Deep learning-driven scheduling algorithm for a single machine problem minimizing the total tardiness
Michal Bouška
P. Šůcha
A. Novák
Z. Hanzálek
28
9
0
19 Feb 2024
Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling
Jiawei Lu
Tinghan Ye
Wenbo Chen
Pascal Van Hentenryck
AI4TS
25
0
0
08 Jan 2024
GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
Haoran Ye
Jiarui Wang
Helan Liang
Zhiguang Cao
Yong Li
Fanzhang Li
21
31
0
13 Dec 2023
Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation
Wenjie Wu
Changjun Fan
Jin-Yu Huang
Zhong Liu
Junchi Yan
21
0
0
13 Dec 2023
The Expressive Power of Graph Neural Networks: A Survey
Bingxue Zhang
Changjun Fan
Shixuan Liu
Kuihua Huang
Xiang Zhao
Jin-Yu Huang
Zhong Liu
40
19
0
16 Aug 2023
The False Dawn: Reevaluating Google's Reinforcement Learning for Chip Macro Placement
I. Markov
24
5
0
16 Jun 2023
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks
George Watkins
Giovanni Montana
Juergen Branke
GNN
8
4
0
08 Apr 2023
Machine Learning for Cutting Planes in Integer Programming: A Survey
Arnaud Deza
Elias Boutros Khalil
13
24
0
17 Feb 2023
Digital Twin Applications in Urban Logistics: An Overview
Abdo Abouelrous
Laurens Bliek
Yingqian Zhang
AI4CE
11
15
0
01 Feb 2023
The intersection of machine learning with forecasting and optimisation: theory and applications
M. Abolghasemi
6
1
0
24 Nov 2022
Accelerating the Genetic Algorithm for Large-scale Traveling Salesman Problems by Cooperative Coevolutionary Pointer Network with Reinforcement Learning
Rui Zhong
En-zhan Zhang
M. Munetomo
11
2
0
27 Sep 2022
On Representing Linear Programs by Graph Neural Networks
Ziang Chen
Jialin Liu
Xinshang Wang
Jian Lu
W. Yin
AI4CE
42
31
0
25 Sep 2022
How Good Is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem
Shengcai Liu
Yu Zhang
K. Tang
Xin Yao
57
39
0
22 Sep 2022
Structured Q-learning For Antibody Design
Alexander I. Cowen-Rivers
P. Gorinski
Aivar Sootla
Asif R. Khan
Liu Furui
J. Wang
Jan Peters
H. Ammar
OffRL
OnRL
24
3
0
10 Sep 2022
Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS
Eleni Nisioti
Matéo Mahaut
Pierre-Yves Oudeyer
Ida Momennejad
Clément Moulin-Frier
13
9
0
10 Jun 2022
Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration
Thomas D. Barrett
Christopher W. F. Parsonson
Alexandre Laterre
11
10
0
27 May 2022
Learning to Solve Vehicle Routing Problems: A Survey
Aigerim Bogyrbayeva
Meraryslan Meraliyev
Taukekhan Mustakhov
Bissenbay Dauletbayev
19
23
0
05 May 2022
Fast Continuous and Integer L-shaped Heuristics Through Supervised Learning
Eric Larsen
Emma Frejinger
B. Gendron
Andrea Lodi
20
18
0
02 May 2022
Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP
Ishaan Mehta
Sharareh Taghipour
Sajad Saeedi
17
4
0
02 Mar 2022
Far-UVC Disinfection with Robotic Mobile Manipulator
Ishaan Mehta
Hao-Ya Hsueh
Nikolaos Kourtzanidis
Mateusz Brylka
Sajad Saeedi
12
7
0
02 Mar 2022
Attention-Based Model and Deep Reinforcement Learning for Distribution of Event Processing Tasks
A. Mazayev
F. Al-Tam
N. Correia
15
5
0
07 Dec 2021
Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT Networks by Reinforcement Learning with Sequential Model
Botao Zhu
E. Bedeer
Han Nguyen
Robert Barton
Jérôme Henry
17
29
0
01 Dec 2021
One model Packs Thousands of Items with Recurrent Conditional Query Learning
Dongda Li
Zhaoquan Gu
Yuexuan Wang
Changwei Ren
F. Lau
27
17
0
12 Nov 2021
Constructions in combinatorics via neural networks
Adam Zsolt Wagner
BDL
14
50
0
29 Apr 2021
Deep Policy Dynamic Programming for Vehicle Routing Problems
W. Kool
H. V. Hoof
J. Gromicho
Max Welling
26
114
0
23 Feb 2021
Combinatorial optimization and reasoning with graph neural networks
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
30
345
0
18 Feb 2021
Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization
D. Beloborodov
Alexander Ulanov
Jakob N. Foerster
Shimon Whiteson
A. I. L. R. Q. Center
20
21
0
11 Feb 2020
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