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2011.06069
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Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers
11 November 2020
Antoine Prouvost
Justin Dumouchelle
Lara Scavuzzo
Maxime Gasse
Didier Chételat
Andrea Lodi
OffRL
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Papers citing
"Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers"
33 / 33 papers shown
A Markov Decision Process for Variable Selection in Branch & Bound
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Fanzeng Xia
340
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30 May 2025
STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization
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Jiexiang Yang
Jinghao Wang
Bo Peng
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Haibing Guan
240
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Towards Foundation Models for Mixed Integer Linear Programming
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Janardhan Kulkarni
Ishai Menache
Cathy Wu
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367
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24 Feb 2025
Learn2Aggregate: Supervised Generation of Chvátal-Gomory Cuts Using Graph Neural Networks
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Zhenan Fan
Zirui Zhou
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170
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RouteFinder: Towards Foundation Models for Vehicle Routing Problems
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Chuanbo Hua
Nayeli Gast Zepeda
André Hottung
N. Wouda
L. Lan
Kevin Tierney
Minjun Kim
Jinkyoo Park
562
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21 Jun 2024
Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion
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Jiaqi Wang
Avirup Das
Junying He
Kunpeng Han
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184
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Network Interdiction Goes Neural
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Zhiqian Chen
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349
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Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming
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Zhihai Wang
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Yufei Kuang
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223
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Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming
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K. Aardal
Andrea Lodi
Neil Yorke-Smith
245
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Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming
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Zhihai Wang
Jie Wang
345
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Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks
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Amin Banitalebi-Dehkordi
Zirui Zhou
Yong Zhang
281
9
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23 Nov 2023
Learning to Configure Separators in Branch-and-Cut
Sirui Li
Wenbin Ouyang
Max B. Paulus
Cathy Wu
262
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08 Nov 2023
Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation
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Yufei Kuang
Jie Wang
Xijun Li
Yongdong Zhang
Feng Wu
AAML
230
15
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22 Oct 2023
On Statistical Learning of Branch and Bound for Vehicle Routing Optimization
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Waleed A. Yousef
Issa Traoré
Mohammed Mamun
336
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15 Oct 2023
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability
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Zijie Geng
Xijun Li
Jie Wang
Xiao Li
Yongdong Zhang
Feng Wu
455
28
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04 Oct 2023
Automatic MILP Solver Configuration By Learning Problem Similarities
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Abdelrahman I. Hosny
Sherief Reda
333
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TreeDQN: Learning to minimize Branch-and-Bound tree
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A. Kostin
233
1
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Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
International Conference on Machine Learning (ICML), 2023
Taoan Huang
Aaron Ferber
Yuandong Tian
B. Dilkina
Benoit Steiner
238
45
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03 Feb 2023
Travel the Same Path: A Novel TSP Solving Strategy
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206
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0
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Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation Learning
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Max B. Paulus
Giulia Zarpellon
Andreas Krause
Laurent Charlin
Chris J. Maddison
254
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27 Jun 2022
Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch
International Conference on Pattern Recognition (ICPR), 2022
Tianyu Zhang
Amin Banitalebi-Dehkordi
Yong Zhang
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274
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0
14 Jun 2022
Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories
AAAI Conference on Artificial Intelligence (AAAI), 2022
Christopher W. F. Parsonson
Alexandre Laterre
Thomas D. Barrett
367
30
0
28 May 2022
DOGE-Train: Discrete Optimization on GPU with End-to-end Training
AAAI Conference on Artificial Intelligence (AAAI), 2022
Ahmed Abbas
Paul Swoboda
305
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23 May 2022
Learning to branch with Tree MDPs
Neural Information Processing Systems (NeurIPS), 2022
Lara Scavuzzo
F. Chen
Didier Chételat
Maxime Gasse
Andrea Lodi
Neil Yorke-Smith
K. Aardal
AI4CE
343
74
0
23 May 2022
A Survey for Solving Mixed Integer Programming via Machine Learning
Neurocomputing (Neurocomputing), 2022
Jiayi Zhang
Chang-rui Liu
Junchi Yan
Xijun Li
Hui-Ling Zhen
Mingxuan Yuan
AI4CE
270
118
0
06 Mar 2022
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights
Neural Information Processing Systems (NeurIPS), 2022
Maxime Gasse
Quentin Cappart
J. Charfreitag
Laurent Charlin
Didier Chételat
...
He Minggui
Hao Hao
Zhang Zhiyu
An Zhiwu
M. Kun
271
52
0
04 Mar 2022
Yordle: An Efficient Imitation Learning for Branch and Bound
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Xijun Li
Yunfan Zhou
410
4
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02 Feb 2022
An Improved Reinforcement Learning Algorithm for Learning to Branch
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Xijun Li
Yunfan Zhou
Jianguo Zeng
Mingxuan Yuan
Jie Wang
Jinhu Lv
Kexin Liu
K. Mao
OffRL
251
29
0
17 Jan 2022
OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems
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Dali Wang
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236
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0
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Combinatorial optimization and reasoning with graph neural networks
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Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
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634
460
0
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A Study of Learning Search Approximation in Mixed Integer Branch and Bound: Node Selection in SCIP
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217
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08 Jul 2020
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