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Model-based graph reinforcement learning for inductive traffic signal control


Aug 01, 2022
François-Xavier Devailly, Denis Larocque, Laurent Charlin

* 11 pages, 3 tables, 4 figures 

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Scaling the Number of Tasks in Continual Learning


Jul 10, 2022
Timothée Lesort, Oleksiy Ostapenko, Diganta Misra, Md Rifat Arefin, Pau Rodríguez, Laurent Charlin, Irina Rish


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Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation Learning


Jun 27, 2022
Max B. Paulus, Giulia Zarpellon, Andreas Krause, Laurent Charlin, Chris J. Maddison

* ICML 2022 

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Task-Agnostic Continual Reinforcement Learning: In Praise of a Simple Baseline


May 28, 2022
Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor


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Foundational Models for Continual Learning: An Empirical Study of Latent Replay


Apr 30, 2022
Oleksiy Ostapenko, Timothee Lesort, Pau Rodríguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin


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The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights


Mar 17, 2022
Maxime Gasse, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros Gleixner, Aleksandr M. Kazachkov, Elias Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Shengcheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Chen Binbin, He Minggui, Hao Hao, Zhang Zhiyu, An Zhiwu, Mao Kun

* Neurips 2021 competition. arXiv admin note: text overlap with arXiv:2112.12251 by other authors 

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A New Era: Intelligent Tutoring Systems Will Transform Online Learning for Millions


Mar 03, 2022
Francois St-Hilaire, Dung Do Vu, Antoine Frau, Nathan Burns, Farid Faraji, Joseph Potochny, Stephane Robert, Arnaud Roussel, Selene Zheng, Taylor Glazier, Junfel Vincent Romano, Robert Belfer, Muhammad Shayan, Ariella Smofsky, Tommy Delarosbil, Seulmin Ahn, Simon Eden-Walker, Kritika Sony, Ansona Onyi Ching, Sabina Elkins, Anush Stepanyan, Adela Matajova, Victor Chen, Hossein Sahraei, Robert Larson, Nadia Markova, Andrew Barkett, Laurent Charlin, Yoshua Bengio, Iulian Vlad Serban, Ekaterina Kochmar

* 9 pages, 6 figures 

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Continual Learning via Local Module Composition


Nov 15, 2021
Oleksiy Ostapenko, Pau Rodriguez, Massimo Caccia, Laurent Charlin

* NeurIPS 2021 

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Sequoia: A Software Framework to Unify Continual Learning Research


Aug 03, 2021
Fabrice Normandin, Florian Golemo, Oleksiy Ostapenko, Pau Rodriguez, Matthew D Riemer, Julio Hurtado, Khimya Khetarpal, Dominic Zhao, Ryan Lindeborg, Timothée Lesort, Laurent Charlin, Irina Rish, Massimo Caccia


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