ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1811.06128
  4. Cited By
Machine Learning for Combinatorial Optimization: a Methodological Tour
  d'Horizon
v1v2 (latest)

Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon

15 November 2018
Yoshua Bengio
Andrea Lodi
Antoine Prouvost
ArXiv (abs)PDFHTML

Papers citing "Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon"

50 / 567 papers shown
AutoGL: A Library for Automated Graph Learning
AutoGL: A Library for Automated Graph Learning
Ziwei Zhang
Yijian Qin
Zeyang Zhang
Chaoyu Guan
Jie Cai
...
Beini Xie
Yang Yao
Yipeng Zhang
Xin Eric Wang
Wenwu Zhu
381
31
0
11 Apr 2021
A Reinforcement Learning Environment For Job-Shop Scheduling
A Reinforcement Learning Environment For Job-Shop Scheduling
Pierre Tassel
Martin Gebser
Konstantin Schekotihin
OffRL
154
64
0
08 Apr 2021
Ecole: A Library for Learning Inside MILP Solvers
Ecole: A Library for Learning Inside MILP Solvers
Antoine Prouvost
Justin Dumouchelle
Maxime Gasse
Didier Chételat
Andrea Lodi
100
4
0
06 Apr 2021
SOLO: Search Online, Learn Offline for Combinatorial Optimization
  Problems
SOLO: Search Online, Learn Offline for Combinatorial Optimization ProblemsSymposium on Combinatorial Search (SoCS), 2021
J. Oren
Chana Ross
Maksym Lefarov
Felix Richter
Ayal Taitler
Zohar Feldman
Christian Daniel
Dotan Di Castro
OffRL
216
25
0
04 Apr 2021
Learning to Optimize: A Primer and A Benchmark
Learning to Optimize: A Primer and A BenchmarkJournal of machine learning research (JMLR), 2021
Tianlong Chen
Xiaohan Chen
Wuyang Chen
Howard Heaton
Jialin Liu
Zinan Lin
W. Yin
585
303
0
23 Mar 2021
Set-to-Sequence Methods in Machine Learning: a Review
Set-to-Sequence Methods in Machine Learning: a ReviewJournal of Artificial Intelligence Research (JAIR), 2021
Mateusz Jurewicz
Leon Derczynski
BDL
213
10
0
17 Mar 2021
A Two-stage Framework and Reinforcement Learning-based Optimization
  Algorithms for Complex Scheduling Problems
A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems
Yongming He
Guohua Wu
Yingwu Chen
Witold Pedrycz
45
8
0
10 Mar 2021
Self-play Learning Strategies for Resource Assignment in Open-RAN
  Networks
Self-play Learning Strategies for Resource Assignment in Open-RAN Networks
Xiaoyang Wang
Jonathan D. Thomas
Robert Piechocki
S. Kapoor
Raúl Santos-Rodríguez
Arjun Parekh
141
27
0
03 Mar 2021
Fast Approximate Solutions using Reinforcement Learning for Dynamic
  Capacitated Vehicle Routing with Time Windows
Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows
Nazneen N. Sultana
Vinita Baniwal
Ansuma Basumatary
P. Mittal
Supratim Ghosh
H. Khadilkar
197
11
0
24 Feb 2021
Analytics and Machine Learning in Vehicle Routing Research
Analytics and Machine Learning in Vehicle Routing ResearchInternational Journal of Production Research (IJPR), 2021
Ruibin Bai
Xinan Chen
Zhi-Long Chen
Tianxiang Cui
Shuhui Gong
...
Zhengyong Lu
Jianfeng Ren
Paul Weng
Ning Xue
Huayan Zhang
297
102
0
19 Feb 2021
Combinatorial optimization and reasoning with graph neural networks
Combinatorial optimization and reasoning with graph neural networksInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
479
431
0
18 Feb 2021
SeaPearl: A Constraint Programming Solver guided by Reinforcement
  Learning
SeaPearl: A Constraint Programming Solver guided by Reinforcement LearningIntegration of AI and OR Techniques in Constraint Programming (CPAIOR), 2021
Félix Chalumeau
Ilan Coulon
Quentin Cappart
Louis-Martin Rousseau
155
24
0
18 Feb 2021
Planning and Learning Using Adaptive Entropy Tree Search
Planning and Learning Using Adaptive Entropy Tree SearchIEEE International Joint Conference on Neural Network (IJCNN), 2021
Piotr Kozakowski
Mikolaj Pacek
Piotr Milo's
199
3
0
12 Feb 2021
ReLU Neural Networks of Polynomial Size for Exact Maximum Flow
  Computation
ReLU Neural Networks of Polynomial Size for Exact Maximum Flow ComputationConference on Integer Programming and Combinatorial Optimization (IPCO), 2021
Christoph Hertrich
Leon Sering
343
13
0
12 Feb 2021
Zero Training Overhead Portfolios for Learning to Solve Combinatorial
  Problems
Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems
Yiwei Bai
Wenting Zhao
Daniel Schwalbe-Koda
234
1
0
05 Feb 2021
Generative deep learning for decision making in gas networks
Generative deep learning for decision making in gas networksMathematical Methods of Operations Research (MMOR), 2021
Lovis Anderson
Mark Turner
T. Koch
AI4CE
144
8
0
03 Feb 2021
Reinforcement Learning for Freight Booking Control Problems
Reinforcement Learning for Freight Booking Control ProblemsJournal of Revenue and Pricing Management (JRPM), 2021
Justin Dumouchelle
Emma Frejinger
Andrea Lodi
194
2
0
29 Jan 2021
Variational Neural Annealing
Variational Neural AnnealingNature Machine Intelligence (Nat. Mach. Intell.), 2021
Mohamed Hibat-Allah
E. Inack
R. Wiersema
R. Melko
Juan Carrasquilla
DRL
254
99
0
25 Jan 2021
Learning to solve the single machine scheduling problem with release
  times and sum of completion times
Learning to solve the single machine scheduling problem with release times and sum of completion times
Axel Parmentier
V. T’kindt
94
8
0
04 Jan 2021
Solving Mixed Integer Programs Using Neural Networks
Solving Mixed Integer Programs Using Neural Networks
Vinod Nair
Sergey Bartunov
Felix Gimeno
Ingrid von Glehn
Pawel Lichocki
...
Pushmeet Kohli
Ira Ktena
Yujia Li
Oriol Vinyals
Yori Zwols
451
293
0
23 Dec 2020
Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances
Generalize a Small Pre-trained Model to Arbitrarily Large TSP InstancesAAAI Conference on Artificial Intelligence (AAAI), 2020
Zhang-Hua Fu
K. Qiu
H. Zha
TPM
269
227
0
19 Dec 2020
Revocable Deep Reinforcement Learning with Affinity Regularization for
  Outlier-Robust Graph Matching
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph MatchingInternational Conference on Learning Representations (ICLR), 2020
Chang-rui Liu
Zetian Jiang
Runzhong Wang
Junchi Yan
Lingxiao Huang
Pinyan Lu
468
11
0
16 Dec 2020
Learning from Survey Propagation: a Neural Network for MAX-E-$3$-SAT
Learning from Survey Propagation: a Neural Network for MAX-E-333-SAT
Raffaele Marino
176
16
0
10 Dec 2020
Metaheuristics "In the Large"
Metaheuristics "In the Large"European Journal of Operational Research (EJOR), 2020
J. Swan
Steven Adriaensen
Alexander E. I. Brownlee
K. Hammond
Colin G. Johnson
...
Pablo García-Sánchez
K. Sorensen
S. Voß
Markus Wagner
D. White
AIFinAI4CE
375
79
0
19 Nov 2020
Ecole: A Gym-like Library for Machine Learning in Combinatorial
  Optimization Solvers
Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers
Antoine Prouvost
Justin Dumouchelle
Lara Scavuzzo
Maxime Gasse
Didier Chételat
Andrea Lodi
OffRL
383
60
0
11 Nov 2020
Fast semidefinite programming with feedforward neural networks
Fast semidefinite programming with feedforward neural networks
Tamás Kriváchy
Yu Cai
Joseph Bowles
D. Cavalcanti
N. Brunner
183
9
0
11 Nov 2020
Geometric Deep Reinforcement Learning for Dynamic DAG Scheduling
Geometric Deep Reinforcement Learning for Dynamic DAG Scheduling
Nathan Grinsztajn
Olivier Beaumont
E. Jeannot
Philippe Preux
173
7
0
09 Nov 2020
A Reinforcement Learning Approach to the Orienteering Problem with Time
  Windows
A Reinforcement Learning Approach to the Orienteering Problem with Time Windows
Ricardo Gama
Hugo L. Fernandes
133
44
0
07 Nov 2020
POMO: Policy Optimization with Multiple Optima for Reinforcement
  Learning
POMO: Policy Optimization with Multiple Optima for Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2020
Yeong-Dae Kwon
Jinho Choo
Byoungjip Kim
Iljoo Yoon
Youngjune Gwon
Seungjai Min
379
490
0
30 Oct 2020
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement
  Learning
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2020
Cong Zhang
Wen Song
Zhiguang Cao
Jie Zhang
Puay Siew Tan
Chi Xu
289
388
0
23 Oct 2020
Reinforcement Learning with Combinatorial Actions: An Application to
  Vehicle Routing
Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing
A. Delarue
Ross Anderson
Christian Tjandraatmadja
259
104
0
22 Oct 2020
AttendLight: Universal Attention-Based Reinforcement Learning Model for
  Traffic Signal Control
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control
Afshin Oroojlooy
M. Nazari
Davood Hajinezhad
Jorge Silva
137
107
0
12 Oct 2020
Bridging Machine Learning and Mechanism Design towards Algorithmic
  Fairness
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness
Jessie Finocchiaro
R. Maio
F. Monachou
Gourab K. Patro
Manish Raghavan
Ana-Andreea Stoica
Stratis Tsirtsis
FaML
321
65
0
12 Oct 2020
Deep Reinforcement Learning for Electric Vehicle Routing Problem with
  Time Windows
Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows
Bo Lin
Bissan Ghaddar
J. Nathwani
AI4TS
193
135
0
05 Oct 2020
The Surprising Power of Graph Neural Networks with Random Node
  Initialization
The Surprising Power of Graph Neural Networks with Random Node InitializationInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
Ralph Abboud
.Ismail .Ilkan Ceylan
Martin Grohe
Thomas Lukasiewicz
353
253
0
02 Oct 2020
Machine Learning in Airline Crew Pairing to Construct Initial Clusters
  for Dynamic Constraint Aggregation
Machine Learning in Airline Crew Pairing to Construct Initial Clusters for Dynamic Constraint AggregationEURO Journal on Transportation and Logistics (JETL), 2020
Yassine Yaakoubi
F. Soumis
Damien Scieur
AI4TS
164
27
0
30 Sep 2020
A Comprehensive Survey of Machine Learning Applied to Radar Signal
  Processing
A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing
Ping Lang
Xiongjun Fu
M. Martorella
Jian Dong
Rui Qin
Xianpeng Meng
M. Xie
182
50
0
29 Sep 2020
Flight-connection Prediction for Airline Crew Scheduling to Construct
  Initial Clusters for OR Optimizer
Flight-connection Prediction for Airline Crew Scheduling to Construct Initial Clusters for OR Optimizer
Yassine Yaakoubi
F. Soumis
Damien Scieur
173
10
0
26 Sep 2020
Complex Vehicle Routing with Memory Augmented Neural Networks
Complex Vehicle Routing with Memory Augmented Neural NetworksIndustrial Cyber-Physical Systems (ICPS), 2020
Marijn van Knippenberg
Mike Holenderski
Vlado Menkovski
74
4
0
22 Sep 2020
Deep Momentum Uncertainty Hashing
Deep Momentum Uncertainty HashingPattern Recognition (Pattern Recognit.), 2020
Chaoyou Fu
Guoli Wang
Xiang Wu
Qian Zhang
Ran He
303
17
0
17 Sep 2020
Optimal training of integer-valued neural networks with mixed integer
  programming
Optimal training of integer-valued neural networks with mixed integer programmingPLoS ONE (PLOS ONE), 2020
Tómas Thorbjarnarson
Neil Yorke-Smith
331
9
0
08 Sep 2020
Graph Learning for Combinatorial Optimization: A Survey of
  State-of-the-Art
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art
Yun Peng
Byron Choi
Jianliang Xu
543
5
0
26 Aug 2020
Learning (Re-)Starting Solutions for Vehicle Routing Problems
Learning (Re-)Starting Solutions for Vehicle Routing Problems
Xingwen Zhang
Shuang Yang
61
0
0
08 Aug 2020
Optimizing AD Pruning of Sponsored Search with Reinforcement Learning
Optimizing AD Pruning of Sponsored Search with Reinforcement Learning
Yijiang Lian
Zhijie Chen
Xin Pei
Shuang Li
Yifei Wang
...
Liang Yuan
Hanju Guan
Ke-feng Zhang
Zhigang Li
Xiaochun Liu
159
4
0
05 Aug 2020
Boosting Ant Colony Optimization via Solution Prediction and Machine
  Learning
Boosting Ant Colony Optimization via Solution Prediction and Machine LearningComputers & Operations Research (Comput. Oper. Res.), 2020
Yuan Sun
Sheng Wang
Yunzhuang Shen
Xiaodong Li
Andreas T. Ernst
M. Kirley
185
36
0
29 Jul 2020
Real-Time Neural Network Scheduling of Emergency Medical Mask Production
  during COVID-19
Real-Time Neural Network Scheduling of Emergency Medical Mask Production during COVID-19Applied Soft Computing (ASC), 2020
Chen-Xin Wu
Min-Hui Liao
M. Karatas
Shengyong Chen
Yujun Zheng
207
41
0
28 Jul 2020
PackIt: A Virtual Environment for Geometric Planning
PackIt: A Virtual Environment for Geometric Planning
Ankit Goyal
Gaowen Liu
172
16
0
21 Jul 2020
On the Use of AI for Satellite Communications
On the Use of AI for Satellite Communications
Miguel Ángel Vázquez
P. Henarejos
Ana I. Pérez-Neira
E. Grechi
Andreas Voight
J. Gil
I. Pappalardo
Federico Di Credico
R. M. Lancellotti
98
6
0
15 Jul 2020
Graph Neural Networks for Scalable Radio Resource Management:
  Architecture Design and Theoretical Analysis
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical AnalysisIEEE Journal on Selected Areas in Communications (JSAC), 2020
Yifei Shen
Yuanming Shi
Jun Zhang
Khaled B. Letaief
GNN
251
307
0
15 Jul 2020
Deep Learning for Abstract Argumentation Semantics
Deep Learning for Abstract Argumentation SemanticsInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
Dennis Craandijk
Floris Bex
SSeg
199
34
0
15 Jul 2020
Previous
123...1011129
Next
Page 10 of 12
Pageof 12