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Reinforcement Learning for Solving the Vehicle Routing Problem

Reinforcement Learning for Solving the Vehicle Routing Problem

12 February 2018
M. Nazari
Afshin Oroojlooy
L. Snyder
Martin Takáč
ArXivPDFHTML

Papers citing "Reinforcement Learning for Solving the Vehicle Routing Problem"

50 / 110 papers shown
Title
Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic Programming
Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic Programming
Minori Narita
Ryo Kuroiwa
J. Christopher Beck
49
0
0
20 Mar 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
55
0
0
16 Mar 2025
Exploiting Edited Large Language Models as General Scientific Optimizers
Exploiting Edited Large Language Models as General Scientific Optimizers
Qitan Lv
T. Liu
Haoyu Wang
41
0
0
08 Mar 2025
Learning to Reduce Search Space for Generalizable Neural Routing Solver
Learning to Reduce Search Space for Generalizable Neural Routing Solver
Changliang Zhou
Xi Lin
Zhenkun Wang
Qingfu Zhang
114
1
0
05 Mar 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Chen Wang
Kaiyi Ji
Junyi Geng
Zhongqiang Ren
Taimeng Fu
...
Yi Du
Qihang Li
Yuqing Yang
Xiao Lin
Zhipeng Zhao
SSL
89
9
0
28 Jan 2025
GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep
  Reinforcement Learning
GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning
Heng Xiong
Changrong Guo
Jian Peng
Kai Ding
Wenjie Chen
Xuchong Qiu
Long Bai
Jianfeng Xu
OffRL
28
4
0
09 Sep 2024
Cooperative Path Planning with Asynchronous Multiagent Reinforcement
  Learning
Cooperative Path Planning with Asynchronous Multiagent Reinforcement Learning
Jiaming Yin
Weixiong Rao
Yu Xiao
Keshuang Tang
21
0
0
01 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
56
10
0
21 Jun 2024
GOAL: A Generalist Combinatorial Optimization Agent Learner
GOAL: A Generalist Combinatorial Optimization Agent Learner
Darko Drakulic
Sofia Michel
J. Andreoli
39
6
0
21 Jun 2024
Combinatorial Optimization with Automated Graph Neural Networks
Combinatorial Optimization with Automated Graph Neural Networks
Yang Liu
Peng Zhang
Yang Gao
Chuan Zhou
Zhao Li
Hongyang Chen
AI4CE
GNN
35
2
0
05 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
70
6
0
01 Jun 2024
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
Minsu Kim
Sanghyeok Choi
Hyeon-Seob Kim
Jiwoo Son
Jinkyoo Park
Yoshua Bengio
43
24
0
11 Mar 2024
RouteExplainer: An Explanation Framework for Vehicle Routing Problem
RouteExplainer: An Explanation Framework for Vehicle Routing Problem
Daisuke Kikuta
Hiroki Ikeuchi
Kengo Tajiri
Yuusuke Nakano
48
1
0
06 Mar 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
38
0
0
08 Jan 2024
On Statistical Learning of Branch and Bound for Vehicle Routing
  Optimization
On Statistical Learning of Branch and Bound for Vehicle Routing Optimization
Andrew Naguib
Waleed A. Yousef
Issa Traoré
Mohammed Mamun
18
0
0
15 Oct 2023
Deep reinforcement learning for machine scheduling: Methodology, the
  state-of-the-art, and future directions
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Maziyar Khadivi
Todd Charter
Marjan Yaghoubi
Masoud Jalayer
Maryam Ahang
Ardeshir Shojaeinasab
H. Najjaran
35
11
0
04 Oct 2023
Learning to Recharge: UAV Coverage Path Planning through Deep
  Reinforcement Learning
Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning
Mirco Theile
Harald Bayerlein
Marco Caccamo
Alberto L. Sangiovanni-Vincentelli
29
5
0
06 Sep 2023
Using Reinforcement Learning for the Three-Dimensional Loading
  Capacitated Vehicle Routing Problem
Using Reinforcement Learning for the Three-Dimensional Loading Capacitated Vehicle Routing Problem
Stefan Schoepf
Stephen Mak
J. Senoner
Liming Xu
Netland Torbjorn
Alexandra Brintrup
21
0
0
22 Jul 2023
Surge Routing: Event-informed Multiagent Reinforcement Learning for
  Autonomous Rideshare
Surge Routing: Event-informed Multiagent Reinforcement Learning for Autonomous Rideshare
Daniel Garces
Stephanie Gil
AI4TS
25
2
0
05 Jul 2023
Road Planning for Slums via Deep Reinforcement Learning
Road Planning for Slums via Deep Reinforcement Learning
Y. Zheng
Hongyuan Su
Jingtao Ding
Depeng Jin
Yong Li
9
13
0
22 May 2023
Flexible Job Shop Scheduling via Dual Attention Network Based
  Reinforcement Learning
Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning
Runqing Wang
G. Wang
Jian Sun
Fang Deng
Jie Chen
20
32
0
09 May 2023
Towards Practical Multi-Robot Hybrid Tasks Allocation for Autonomous
  Cleaning
Towards Practical Multi-Robot Hybrid Tasks Allocation for Autonomous Cleaning
Yabin Wang
Xiaopeng Hong
Zhiheng Ma
Tiedong Ma
B. Qin
Zhou Su
15
2
0
12 Mar 2023
Tile Networks: Learning Optimal Geometric Layout for Whole-page
  Recommendation
Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation
Shuai Xiao
Zaifan Jiang
Shuang Yang
14
3
0
03 Mar 2023
Multi-Start Team Orienteering Problem for UAS Mission Re-Planning with
  Data-Efficient Deep Reinforcement Learning
Multi-Start Team Orienteering Problem for UAS Mission Re-Planning with Data-Efficient Deep Reinforcement Learning
Dong Ho Lee
Jaemyung Ahn
22
6
0
02 Mar 2023
ASP: Learn a Universal Neural Solver!
ASP: Learn a Universal Neural Solver!
Chenguang Wang
Zhouliang Yu
Stephen Marcus McAleer
Tianshu Yu
Yao-Chun Yang
AAML
32
24
0
01 Mar 2023
Graph Reinforcement Learning for Operator Selection in the ALNS
  Metaheuristic
Graph Reinforcement Learning for Operator Selection in the ALNS Metaheuristic
Syu-Ning Johnn
Victor-Alexandru Darvariu
J. Handl
Joerg Kalcsics
13
2
0
28 Feb 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
Zhiqing Sun
Yiming Yang
DiffM
33
121
0
16 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
13
15
0
01 Feb 2023
Denoising Diffusion for Sampling SAT Solutions
Denoising Diffusion for Sampling SAT Solutions
Kārlis Freivalds
Sergejs Kozlovics
13
2
0
30 Nov 2022
Combining Constructive and Perturbative Deep Learning Algorithms for the
  Capacitated Vehicle Routing Problem
Combining Constructive and Perturbative Deep Learning Algorithms for the Capacitated Vehicle Routing Problem
Roberto García-Torres
Alitzel Adriana Macias-Infante
S. E. Conant-Pablos
J. C. Ortíz-Bayliss
Hugo Terashima-Marín
20
1
0
25 Nov 2022
Coordinating CAV Swarms at Intersections with a Deep Learning Model
Coordinating CAV Swarms at Intersections with a Deep Learning Model
Jiawei Zhang
Sheng Li
Li Li
34
26
0
10 Nov 2022
A Survey on Influence Maximization: From an ML-Based Combinatorial
  Optimization
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization
Yandi Li
Haobo Gao
Yunxuan Gao
Jianxiong Guo
Weili Wu
27
38
0
06 Nov 2022
Imitating Opponent to Win: Adversarial Policy Imitation Learning in
  Two-player Competitive Games
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games
Viet The Bui
Tien Mai
T. Nguyen
AAML
33
5
0
30 Oct 2022
DIMES: A Differentiable Meta Solver for Combinatorial Optimization
  Problems
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
Ruizhong Qiu
Zhiqing Sun
Yiming Yang
43
78
0
08 Oct 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
65
40
0
22 Sep 2022
Deep-Steiner: Learning to Solve the Euclidean Steiner Tree Problem
Deep-Steiner: Learning to Solve the Euclidean Steiner Tree Problem
Siqi Wang
Yifan Wang
G. Tong
30
1
0
20 Sep 2022
Learning to Solve Multiple-TSP with Time Window and Rejections via Deep
  Reinforcement Learning
Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning
Rongkai Zhang
Cong Zhang
Zhiguang Cao
Wen Song
Puay Siew Tan
Jie Zhang
B. Wen
Justin Dauwels
21
28
0
13 Sep 2022
Learning to Solve Soft-Constrained Vehicle Routing Problems with
  Lagrangian Relaxation
Learning to Solve Soft-Constrained Vehicle Routing Problems with Lagrangian Relaxation
Qiaoyue Tang
Yangzhe Kong
Lemeng Pan
Choon-woo Lee
30
3
0
20 Jul 2022
Simulation-guided Beam Search for Neural Combinatorial Optimization
Simulation-guided Beam Search for Neural Combinatorial Optimization
Jinho Choo
Yeong-Dae Kwon
Jihoon Kim
Jeongwoo Jae
André Hottung
Kevin Tierney
Youngjune Gwon
30
65
0
13 Jul 2022
The Real Deal: A Review of Challenges and Opportunities in Moving
  Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality
The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality
Rex Chen
Fei Fang
Norman M. Sadeh
35
8
0
23 Jun 2022
Hybridization of evolutionary algorithm and deep reinforcement learning
  for multi-objective orienteering optimization
Hybridization of evolutionary algorithm and deep reinforcement learning for multi-objective orienteering optimization
Wei Liu
Rui Wang
Tao Zhang
Kaiwen Li
Wenhua Li
H. Ishibuchi
26
25
0
21 Jun 2022
Machine learning-based patient selection in an emergency department
Machine learning-based patient selection in an emergency department
N. Furian
M. O'Sullivan
C. Walker
Melanie Reuter-Oppermann
14
0
0
08 Jun 2022
Neuro CROSS exchange: Learning to CROSS exchange to solve realistic
  vehicle routing problems
Neuro CROSS exchange: Learning to CROSS exchange to solve realistic vehicle routing problems
Minjun Kim
Junyoung Park
Jinkyoo Park
29
2
0
06 Jun 2022
Informable Multi-Objective and Multi-Directional RRT* System for Robot
  Path Planning
Informable Multi-Objective and Multi-Directional RRT* System for Robot Path Planning
Jiunn-Kai Huang
Yingjie Tan
Dongmyeong Lee
Vishnu R. Desaraju
J. Grizzle
46
10
0
30 May 2022
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Minsu Kim
Junyoung Park
Jinkyoo Park
76
80
0
26 May 2022
Equivariant quantum circuits for learning on weighted graphs
Equivariant quantum circuits for learning on weighted graphs
Andrea Skolik
Michele Cattelan
S. Yarkoni
Thomas Bäck
Vedran Dunjko
26
68
0
12 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
29
24
0
05 May 2022
Multi-objective Pointer Network for Combinatorial Optimization
Multi-objective Pointer Network for Combinatorial Optimization
Leon Gao
Rui Wang
Chuang Liu
Zhao-hong Jia
21
7
0
25 Apr 2022
Network Topology Optimization via Deep Reinforcement Learning
Network Topology Optimization via Deep Reinforcement Learning
Zhuoran Li
Xing Wang
L. Pan
Lin Zhu
Zhendong Wang
Junlan Feng
Chao Deng
Longbo Huang
26
12
0
19 Apr 2022
Learning to Solve Travelling Salesman Problem with Hardness-adaptive
  Curriculum
Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum
Zeyang Zhang
Ziwei Zhang
Xin Wang
Wenwu Zhu
26
42
0
07 Apr 2022
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