Reinforcement Learning for Combinatorial Optimization: A Survey

7 March 2020

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

22 / 72 papers shown

Title
Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP Ishaan Mehta Sharareh Taghipour Sajad Saeedi 27 4 0 02 Mar 2022
Far-UVC Disinfection with Robotic Mobile Manipulator Ishaan Mehta Hao-Ya Hsueh Nikolaos Kourtzanidis Mateusz Brylka Sajad Saeedi 28 7 0 02 Mar 2022
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone Aigerim Bogyrbayeva. Taehyun Yoon Taehyun Yoon Hanbum Ko Sungbin Lim Hyokun Yun C. Kwon 38 66 0 22 Dec 2021
Attention-Based Model and Deep Reinforcement Learning for Distribution of Event Processing Tasks A. Mazayev F. Al-Tam N. Correia 36 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 27 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
Predictive Machine Learning of Objective Boundaries for Solving COPs Helge Spieker A. Gotlieb 13 0 0 04 Nov 2021
Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs Truong-Son Hy Risi Kondor 42 1 0 02 Nov 2021
Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach Mohammad Ali Alomrani Reza Moravej Elias Boutros Khalil OffRL 39 22 0 21 Sep 2021
A New Constructive Heuristic driven by Machine Learning for the Traveling Salesman Problem U. Mele L. Gambardella R. Montemanni 27 13 0 17 Aug 2021
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey Zefang Zong Tao Feng Tong Xia Depeng Jin Yong Li 24 3 0 10 Aug 2021
MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization Yongxin Zhang Jiahai Wang Zizhen Zhang Yalan Zhou 16 21 0 16 Jul 2021
ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning Junyoung Park Sanjar Bakhtiyar Jinkyoo Park 21 38 0 06 Jun 2021
Constructions in combinatorics via neural networks Adam Zsolt Wagner BDL 32 50 0 29 Apr 2021
Qubit Routing using Graph Neural Network aided Monte Carlo Tree Search Animesh Sinha Utkarsh Azad Harjinder Singh 47 27 0 01 Apr 2021
Deep Policy Dynamic Programming for Vehicle Routing Problems W. Kool H. V. Hoof J. Gromicho Max Welling 42 115 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 37 352 0 18 Feb 2021
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks Sergei Ivanov Liudmila Prokhorenkova AI4CE 53 52 0 21 Jan 2021
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art Yun Peng Byron Choi Jianliang Xu 25 5 0 26 Aug 2020
Curriculum learning for multilevel budgeted combinatorial problems Adel Nabli Margarida Carvalho AI4CE 11 4 0 07 Jul 2020
Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time Iddo Drori Anant Kharkar William R. Sickinger Brandon Kates Qiang Ma Suwen Ge Eden Dolev Brenda L Dietrich David P. Williamson Madeleine Udell 22 82 0 06 Jun 2020
Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization D. Beloborodov Alexander Ulanov Jakob N. Foerster Shimon Whiteson A. I. L. R. Q. Center 46 21 0 11 Feb 2020