Maxime Gasse

Maxime Gasse
Student Post-Doc
Maxime Gasse

Post-doctoral student under the supervision of Andrea Lodi and Laurent Charlin, I study how machine learning paradigms can be used for solving combinatorial optimization problems. I am particularly interested in the variable selection problem in “branch-and-bound” type algorithms, which naturally formulates as a Markov decision process.

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