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Reinforcement Learning for Integer Programming: Learning to Cut
v1v2v3 (latest)

Reinforcement Learning for Integer Programming: Learning to Cut

11 June 2019
Yunhao Tang
Shipra Agrawal
Yuri Faenza
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Reinforcement Learning for Integer Programming: Learning to Cut"

15 / 15 papers shown
Title
Code Retrieval for MILP Instance Generation
Code Retrieval for MILP Instance Generation
Tianxing Yang
Huigen Ye
Hua Xu
185
0
0
11 May 2025
Towards Foundation Models for Mixed Integer Linear Programming
Towards Foundation Models for Mixed Integer Linear Programming
Sirui Li
Janardhan Kulkarni
Ishai Menache
Cathy Wu
Beibin Li
106
7
0
24 Feb 2025
Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids
Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids
Caio Fabio Oliveira da Silva
Azita Dabiri
B. de Schutter
70
4
0
17 Sep 2024
Machine Learning for Combinatorial Optimization: a Methodological Tour
  d'Horizon
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
Yoshua Bengio
Andrea Lodi
Antoine Prouvost
155
1,389
0
15 Nov 2018
Combinatorial Optimization with Graph Convolutional Networks and Guided
  Tree Search
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
Zhuwen Li
Qifeng Chen
V. Koltun
GNN
94
475
0
25 Oct 2018
Learning to Branch
Learning to Branch
Maria-Florina Balcan
Travis Dick
Tuomas Sandholm
Ellen Vitercik
70
174
0
27 Mar 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted
  Actor-Learner Architectures
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
L. Espeholt
Hubert Soyer
Rémi Munos
Karen Simonyan
Volodymyr Mnih
...
Vlad Firoiu
Tim Harley
Iain Dunning
Shane Legg
Koray Kavukcuoglu
220
1,600
0
05 Feb 2018
Revised Note on Learning Algorithms for Quadratic Assignment with Graph
  Neural Networks
Revised Note on Learning Algorithms for Quadratic Assignment with Graph Neural Networks
Alex W. Nowak
Soledad Villar
Afonso S. Bandeira
Joan Bruna
145
115
0
22 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
713
131,652
0
12 Jun 2017
Learning Combinatorial Optimization Algorithms over Graphs
Learning Combinatorial Optimization Algorithms over Graphs
H. Dai
Elias Boutros Khalil
Yuyu Zhang
B. Dilkina
Le Song
111
1,469
0
05 Apr 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Tim Salimans
Jonathan Ho
Xi Chen
Szymon Sidor
Ilya Sutskever
92
1,541
0
10 Mar 2017
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
199
8,859
0
04 Feb 2016
Pointer Networks
Pointer Networks
Oriol Vinyals
Meire Fortunato
Navdeep Jaitly
121
3,055
0
09 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
437
20,568
0
10 Sep 2014
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