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Reinforcement Learning for Integer Programming: Learning to Cut
11 June 2019
Yunhao Tang
Shipra Agrawal
Yuri Faenza
AI4CE
Re-assign community
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Papers citing
"Reinforcement Learning for Integer Programming: Learning to Cut"
15 / 15 papers shown
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Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids
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Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
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Andrea Lodi
Antoine Prouvost
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Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
Zhuwen Li
Qifeng Chen
V. Koltun
GNN
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25 Oct 2018
Learning to Branch
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Travis Dick
Tuomas Sandholm
Ellen Vitercik
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27 Mar 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
L. Espeholt
Hubert Soyer
Rémi Munos
Karen Simonyan
Volodymyr Mnih
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Vlad Firoiu
Tim Harley
Iain Dunning
Shane Legg
Koray Kavukcuoglu
220
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05 Feb 2018
Revised Note on Learning Algorithms for Quadratic Assignment with Graph Neural Networks
Alex W. Nowak
Soledad Villar
Afonso S. Bandeira
Joan Bruna
145
115
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22 Jun 2017
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
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12 Jun 2017
Learning Combinatorial Optimization Algorithms over Graphs
H. Dai
Elias Boutros Khalil
Yuyu Zhang
B. Dilkina
Le Song
111
1,469
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05 Apr 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
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Jonathan Ho
Xi Chen
Szymon Sidor
Ilya Sutskever
92
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10 Mar 2017
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
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04 Feb 2016
Pointer Networks
Oriol Vinyals
Meire Fortunato
Navdeep Jaitly
121
3,055
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09 Jun 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
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150,115
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22 Dec 2014
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
437
20,568
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10 Sep 2014
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