Louis Gautier is a graduate student in data science from École Polytechnique. He is interested in the applications of data science for operations management and combinatorial optimization. He is supervised by Louis-Martin Rousseau and Quentin Cappart for a research internship centered on the “SeaPearl.jl” solver. This project consists in implementing a universal constraint programming solver using Deep Reinforcement Learning to speed up the search for solutions.
A Selection of Working Papers
Marty T, François T, Tessier P, Gautier L, Boisvert L, Rousseau L-M, Cappart Q, (2024), Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver.
Journal and Conference Publications - 2024
*Marty T, *François T, *Tessier P, *Gautier L, *Boisvert L, Rousseau L-M, Cappart Q, (2024), Learning and Fine-Tuning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver, Constraints.
2023
Marty T, François T, Tessier P, Gautier L, Cappart Q, Rousseau L-M, (2023), Learning a Generic Value-Selection Heuristic Inside a Generic Constraint Programming Solver, 29th International Conference on Principles and Practice of Constraint Programming LIPIcs, Volume 280, CP 2023.