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Reinforcement Learning for Combinatorial Optimization: A Survey

Reinforcement Learning for Combinatorial Optimization: A Survey

7 March 2020
Nina Mazyavkina
S. Sviridov
Sergei Ivanov
Evgeny Burnaev
ArXivPDFHTML

Papers citing "Reinforcement Learning for Combinatorial Optimization: A Survey"

41 / 41 papers shown
Title
USPR: Learning a Unified Solver for Profiled Routing
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
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
99
0
0
09 Mar 2025
Reinforcement learning with combinatorial actions for coupled restless bandits
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
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
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
46
0
0
16 Feb 2025
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
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
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
Reinforcement Learning for Multi-Truck Vehicle Routing Problems
Randall Correll
Sean J. Weinberg
F. Sanches
Takanori Ide
Takafumi Suzuki
Alan Arai
23
2
0
31 Dec 2024
RL-MILP Solver: A Reinforcement Learning Approach for Solving Mixed-Integer Linear Programs with Graph Neural Networks
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
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
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
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
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
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
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
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
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
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
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
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
Machine Learning for Cutting Planes in Integer Programming: A Survey
Arnaud Deza
Elias Boutros Khalil
15
24
0
17 Feb 2023
Digital Twin Applications in Urban Logistics: An Overview
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
The intersection of machine learning with forecasting and optimisation: theory and applications
M. Abolghasemi
8
1
0
24 Nov 2022
Accelerating the Genetic Algorithm for Large-scale Traveling Salesman
  Problems by Cooperative Coevolutionary Pointer Network with Reinforcement
  Learning
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
13
2
0
27 Sep 2022
On Representing Linear Programs by Graph Neural Networks
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
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
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
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
Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration
Thomas D. Barrett
Christopher W. F. Parsonson
Alexandre Laterre
13
10
0
27 May 2022
Learning to Solve Vehicle Routing Problems: A Survey
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
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
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
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
Attention-Based Model and Deep Reinforcement Learning for Distribution of Event Processing Tasks
A. Mazayev
F. Al-Tam
N. Correia
18
5
0
07 Dec 2021
Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT
  Networks by Reinforcement Learning with Sequential Model
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
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
Constructions in combinatorics via neural networks
Adam Zsolt Wagner
BDL
16
50
0
29 Apr 2021
Deep Policy Dynamic Programming for Vehicle Routing Problems
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
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
Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization
D. Beloborodov
Alexander Ulanov
Jakob N. Foerster
Shimon Whiteson
A. I. L. R. Q. Center
25
21
0
11 Feb 2020
1