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

15 November 2018

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

50 / 564 papers shown

Title
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 173 25 0 04 Apr 2021
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 494 291 0 23 Mar 2021
Set-to-Sequence Methods in Machine Learning: a ReviewJournal of Artificial Intelligence Research (JAIR), 2021 Mateusz Jurewicz Leon Derczynski BDL 163 10 0 17 Mar 2021
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 Xiaoyang Wang Jonathan D. Thomas Robert Piechocki S. Kapoor Raúl Santos-Rodríguez Arjun Parekh 109 27 0 03 Mar 2021
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 140 11 0 24 Feb 2021
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 271 98 0 19 Feb 2021
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 321 416 0 18 Feb 2021
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 152 23 0 18 Feb 2021
Planning and Learning Using Adaptive Entropy Tree SearchIEEE International Joint Conference on Neural Network (IJCNN), 2021 Piotr Kozakowski Mikolaj Pacek Piotr Milo's 162 3 0 12 Feb 2021
ReLU Neural Networks of Polynomial Size for Exact Maximum Flow ComputationConference on Integer Programming and Combinatorial Optimization (IPCO), 2021 Christoph Hertrich Leon Sering 214 13 0 12 Feb 2021
Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems Yiwei Bai Wenting Zhao Daniel Schwalbe-Koda 170 1 0 05 Feb 2021
Generative deep learning for decision making in gas networksMathematical Methods of Operations Research (MMOR), 2021 Lovis Anderson Mark Turner T. Koch AI4CE 121 8 0 03 Feb 2021
Reinforcement Learning for Freight Booking Control ProblemsJournal of Revenue and Pricing Management (JRPM), 2021 Justin Dumouchelle Emma Frejinger Andrea Lodi 176 2 0 29 Jan 2021
Variational Neural AnnealingNature Machine Intelligence (Nat. Mach. Intell.), 2021 Mohamed Hibat-Allah E. Inack R. Wiersema R. Melko Juan Carrasquilla DRL 225 96 0 25 Jan 2021
Learning to solve the single machine scheduling problem with release times and sum of completion times Axel Parmentier V. T’kindt 82 7 0 04 Jan 2021
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 364 285 0 23 Dec 2020
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 179 220 0 19 Dec 2020
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 381 11 0 16 Dec 2020
Learning from Survey Propagation: a Neural Network for MAX-E- $3$ -SAT Raffaele Marino 149 16 0 10 Dec 2020
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 AIFin AI4CE 339 79 0 19 Nov 2020
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 319 59 0 11 Nov 2020
Fast semidefinite programming with feedforward neural networks Tamás Kriváchy Yu Cai Joseph Bowles D. Cavalcanti N. Brunner 133 9 0 11 Nov 2020
Geometric Deep Reinforcement Learning for Dynamic DAG Scheduling Nathan Grinsztajn Olivier Beaumont E. Jeannot Philippe Preux 149 7 0 09 Nov 2020
A Reinforcement Learning Approach to the Orienteering Problem with Time Windows Ricardo Gama Hugo L. Fernandes 93 40 0 07 Nov 2020
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 254 461 0 30 Oct 2020
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 227 377 0 23 Oct 2020
Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing A. Delarue Ross Anderson Christian Tjandraatmadja 163 101 0 22 Oct 2020
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control Afshin Oroojlooy M. Nazari Davood Hajinezhad Jorge Silva 117 105 0 12 Oct 2020
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 268 63 0 12 Oct 2020
Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows Bo Lin Bissan Ghaddar J. Nathwani AI4TS 136 124 0 05 Oct 2020
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 283 250 0 02 Oct 2020
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 151 27 0 30 Sep 2020
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 150 50 0 29 Sep 2020
Flight-connection Prediction for Airline Crew Scheduling to Construct Initial Clusters for OR Optimizer Yassine Yaakoubi F. Soumis Damien Scieur 161 9 0 26 Sep 2020
Complex Vehicle Routing with Memory Augmented Neural NetworksIndustrial Cyber-Physical Systems (ICPS), 2020 Marijn van Knippenberg Mike Holenderski Vlado Menkovski 58 4 0 22 Sep 2020
Deep Momentum Uncertainty HashingPattern Recognition (Pattern Recognit.), 2020 Chaoyou Fu Guoli Wang Xiang Wu Qian Zhang Ran He 248 17 0 17 Sep 2020
Optimal training of integer-valued neural networks with mixed integer programmingPLoS ONE (PLOS ONE), 2020 Tómas Thorbjarnarson Neil Yorke-Smith 302 9 0 08 Sep 2020
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art Yun Peng Byron Choi Jianliang Xu 392 5 0 26 Aug 2020
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 Yijiang Lian Zhijie Chen Xin Pei Shuang Li Yifei Wang ... Liang Yuan Hanju Guan Ke-feng Zhang Zhigang Li Xiaochun Liu 150 3 0 05 Aug 2020
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 138 35 0 29 Jul 2020
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 131 39 0 28 Jul 2020
PackIt: A Virtual Environment for Geometric Planning Ankit Goyal Gaowen Liu 139 16 0 21 Jul 2020
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 AnalysisIEEE Journal on Selected Areas in Communications (JSAC), 2020 Yifei Shen Yuanming Shi Jun Zhang Khaled B. Letaief GNN 203 307 0 15 Jul 2020
Deep Learning for Abstract Argumentation SemanticsInternational Joint Conference on Artificial Intelligence (IJCAI), 2020 Dennis Craandijk Floris Bex SSeg 167 34 0 15 Jul 2020
Beyond Graph Neural Networks with Lifted Relational Neural NetworksMachine-mediated learning (ML), 2020 Gustav Sourek F. Železný Ondrej Kuzelka NAI 221 20 0 13 Jul 2020
A Study of Learning Search Approximation in Mixed Integer Branch and Bound: Node Selection in SCIPApplied Informatics (AI), 2020 Kaan Yilmaz Neil Yorke-Smith 161 28 0 08 Jul 2020
Learning Combined Set Covering and Traveling Salesman Problem Yuwen Yang J. Rajgopal 91 5 0 07 Jul 2020