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RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
v1v2v3v4v5 (latest)

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark

29 June 2023
Federico Berto
Chuanbo Hua
J. Park
Laurin Luttmann
Yining Ma
Fanchen Bu
Jiarui Wang
Haoran Ye
Minsu Kim
Sanghyeok Choi
Nayeli Gast Zepeda
André Hottung
Jianan Zhou
Jieyi Bi
Yu Hu
Fei Liu
Hyeon-Seob Kim
Jiwoo Son
Haeyeon Kim
Davide Angioni
Wouter Kool
Zhiguang Cao
Qingfu Zhang
Joungho Kim
Jie Zhang
Kijung Shin
Cathy Wu
SungSoo Ahn
Guojie Song
Changhyun Kwon
Kevin Tierney
Lin Xie
Jinkyoo Park
    OffRL
ArXiv (abs)PDFHTMLGithub (586★)

Papers citing "RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark"

24 / 24 papers shown
Title
Generalizable Heuristic Generation Through Large Language Models with Meta-Optimization
Generalizable Heuristic Generation Through Large Language Models with Meta-Optimization
Yiding Shi
Jianan Zhou
Wen Song
Jieyi Bi
Yaoxin Wu
Jie Zhang
79
0
0
27 May 2025
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
97
0
0
08 May 2025
Accelerating Vehicle Routing via AI-Initialized Genetic Algorithms
Accelerating Vehicle Routing via AI-Initialized Genetic Algorithms
Ido Greenberg
Piotr Sielski
Hugo Linsenmaier
Rajesh Gandham
Shie Mannor
Alex Fender
Gal Chechik
E. Meirom
54
1
0
08 Apr 2025
SED2AM: Solving Multi-Trip Time-Dependent Vehicle Routing Problem using Deep Reinforcement Learning
Arash Mozhdehi
Yansen Wang
Sun Sun
Xin Eric Wang
AI4TS
111
0
0
06 Mar 2025
Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
Ziwei Huang
Jianan Zhou
Zhiguang Cao
Yixin Xu
91
6
0
02 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
107
1
0
01 Mar 2025
Neural Deconstruction Search for Vehicle Routing Problems
Neural Deconstruction Search for Vehicle Routing Problems
André Hottung
Paula Wong-Chung
Kevin Tierney
91
1
0
08 Jan 2025
Multi-Agent Environments for Vehicle Routing Problems
Multi-Agent Environments for Vehicle Routing Problems
Ricardo Gama
Daniel Fuertes
Carlos R. del-Blanco
Hugo L. Fernandes
AI4CE
151
0
0
21 Nov 2024
Learn to Solve Vehicle Routing Problems ASAP: A Neural Optimization
  Approach for Time-Constrained Vehicle Routing Problems with Finite Vehicle
  Fleet
Learn to Solve Vehicle Routing Problems ASAP: A Neural Optimization Approach for Time-Constrained Vehicle Routing Problems with Finite Vehicle Fleet
Elija Deineko
Carina Kehrt
54
2
0
07 Nov 2024
Learning to Handle Complex Constraints for Vehicle Routing Problems
Learning to Handle Complex Constraints for Vehicle Routing Problems
Jieyi Bi
Yining Ma
Jianan Zhou
Wen Song
Zhiguang Cao
Yaoxin Wu
Jie Zhang
112
13
0
28 Oct 2024
Neural Solver Selection for Combinatorial Optimization
Neural Solver Selection for Combinatorial Optimization
Chengrui Gao
Haopu Shang
Ke Xue
Chao Qian
94
0
0
13 Oct 2024
Collaboration! Towards Robust Neural Methods for Routing Problems
Collaboration! Towards Robust Neural Methods for Routing Problems
Jianan Zhou
Yaoxin Wu
Zhiguang Cao
Wen Song
Jie Zhang
Zhiqi Shen
AAML
79
3
0
07 Oct 2024
Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization
Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization
Federico Berto
Chuanbo Hua
Laurin Luttmann
Jiwoo Son
Junyoung Park
Kyuree Ahn
Changhyun Kwon
Lin Xie
Jinkyoo Park
95
1
0
05 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
166
16
0
21 Jun 2024
Attention-Based Deep Reinforcement Learning for Qubit Allocation in
  Modular Quantum Architectures
Attention-Based Deep Reinforcement Learning for Qubit Allocation in Modular Quantum Architectures
Francesco Lo Presti
Maurizio Palesi
Davide Patti
Salvatore Filippone
V. Catania
68
4
0
17 Jun 2024
Tackling Prevalent Conditions in Unsupervised Combinatorial
  Optimization: Cardinality, Minimum, Covering, and More
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
Fanchen Bu
Hyeonsoo Jo
Soo Yong Lee
SungSoo Ahn
Kijung Shin
111
5
0
14 May 2024
ACEGEN: Reinforcement learning of generative chemical agents for drug
  discovery
ACEGEN: Reinforcement learning of generative chemical agents for drug discovery
Albert Bou
Morgan Thomas
Sebastian Dittert
Carles Navarro Ramírez
Maciej Majewski
...
Mazen Ahmad
Vincent Moens
Woody Sherman
Simone Sciabola
Gianni De Fabritiis
94
9
0
07 May 2024
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
Jianan Zhou
Zhiguang Cao
Yaoxin Wu
Wen Song
Yining Ma
Jie Zhang
Chi Xu
151
27
0
02 May 2024
Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
Huijie Tang
Federico Berto
Jinkyoo Park
106
4
0
12 Mar 2024
Large Language Models as Hyper-Heuristics for Combinatorial Optimization
Large Language Models as Hyper-Heuristics for Combinatorial Optimization
Haoran Ye
Jiarui Wang
Zhiguang Cao
Federico Berto
Chuanbo Hua
Haeyeon Kim
Jinkyoo Park
Guojie Song
116
66
0
02 Feb 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
91
42
0
13 Dec 2023
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
Chuanbo Hua
Federico Berto
Michael Poli
Stefano Massaroli
Jinkyoo Park
AI4TSAI4CE
59
5
0
25 Oct 2023
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
Haoran Ye
Jiarui Wang
Zhiguang Cao
Helan Liang
Yong Li
102
55
0
25 Sep 2023
Symmetric Replay Training: Enhancing Sample Efficiency in Deep
  Reinforcement Learning for Combinatorial Optimization
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
Hyeon-Seob Kim
Minsu Kim
SungSoo Ahn
Jinkyoo Park
OffRL
135
7
0
02 Jun 2023
1