SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning

18 February 2021

Félix Chalumeau

Ilan Coulon

Quentin Cappart

Louis-Martin Rousseau

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Papers citing "SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning"

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Title
Learning the Travelling Salesperson Problem Requires Rethinking Generalization Chaitanya K. Joshi Quentin Cappart Louis-Martin Rousseau T. Laurent 164 116 0 12 Jun 2020
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization Quentin Cappart Thierry Moisan Louis-Martin Rousseau Isabeau Prémont-Schwarz A. Ciré 56 140 0 02 Jun 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 85 289 0 07 May 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 389 939 0 02 Mar 2020
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 129 1,080 0 21 Feb 2020
Exact Combinatorial Optimization with Graph Convolutional Neural Networks Maxime Gasse Didier Chételat Nicola Ferroni Laurent Charlin Andrea Lodi GNN CML 131 483 0 04 Jun 2019
Guiding High-Performance SAT Solvers with Unsat-Core Predictions Daniel Selsam Nikolaj S. Bjørner NAI 55 121 0 12 Mar 2019
Fake News Detection on Social Media using Geometric Deep Learning Federico Monti Fabrizio Frasca D. Eynard Damon Mannion M. Bronstein GNN 76 464 0 10 Feb 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 672 8,496 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 995 5,493 0 20 Dec 2018
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Yoshua Bengio Andrea Lodi Antoine Prouvost 153 1,377 0 15 Nov 2018
Fashionable Modelling with Flux Mike Innes Elliot Saba Keno Fischer Dhairya Gandhi Marco Concetto Rudilosso Neethu Mariya Joy Tejan Karmali Avik Pal Viral B. Shah AI4CE 63 164 0 01 Nov 2018
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 36 1,471 0 11 Oct 2018
Attention, Learn to Solve Routing Problems! W. Kool H. V. Hoof Max Welling 112 1,202 0 22 Mar 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 436 20,089 0 30 Oct 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 120 2,805 0 19 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 446 18,931 0 20 Jul 2017
Learning Combinatorial Optimization Algorithms over Graphs H. Dai Elias Boutros Khalil Yuyu Zhang B. Dilkina Le Song 103 1,460 0 05 Apr 2017
Neural Combinatorial Optimization with Reinforcement Learning Irwan Bello Hieu H. Pham Quoc V. Le Mohammad Norouzi Samy Bengio 143 1,487 0 29 Nov 2016
Reinforcement learning based local search for grouping problems: A case study on graph coloring Yangming Zhou Jin-Kao Hao B. Duval 42 69 0 01 Apr 2016
Discriminative Embeddings of Latent Variable Models for Structured Data H. Dai Bo Dai Le Song BDL 117 695 0 17 Mar 2016
Molecular Graph Convolutions: Moving Beyond Fingerprints S. Kearnes Kevin McCloskey Marc Berndl Vijay S. Pande Patrick F. Riley GNN 137 1,449 0 02 Mar 2016
Pointer Networks Oriol Vinyals Meire Fortunato Navdeep Jaitly 115 3,048 0 09 Jun 2015
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 515 27,263 0 01 Sep 2014
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 117 12,201 0 19 Dec 2013