Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers. - Antoine Prouvost; Justin Dumouchelle; Lara Scavuzzo; Maxime Gasse; Didier Chételat; Andrea Lodi 001 (CoRR, 2020)

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. - Maxime Gasse; Simon Bowly; Quentin Cappart; Jonas Charfreitag; Laurent Charlin; Didier Chételat; Antonia Chmiela; Justin Dumouchelle; Ambros M. Gleixner; Aleksandr M. Kazachkov; Elias B. Khalil; Pawel Lichocki; et al. (NeurIPS (Competition and Demos), 2021)

Ecole: A Library for Learning Inside MILP Solvers. - Antoine Prouvost; Justin Dumouchelle; Maxime Gasse; Didier Chételat; Andrea Lodi 001 (CoRR, 2021)

Machine learning for combinatorial optimization: A methodological tour d'horizon. - Yoshua Bengio; Andrea Lodi 001; Antoine Prouvost (Eur. J. Oper. Res., 2021)

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. - Maxime Gasse; Quentin Cappart; Jonas Charfreitag; Laurent Charlin; Didier Chételat; Antonia Chmiela; Justin Dumouchelle; Ambros M. Gleixner; Aleksandr M. Kazachkov; Elias B. Khalil; Pawel Lichocki; Andrea Lodi 001; et al. (CoRR, 2022)