CORAIL is a research group focusing on the design of efficient and accessible methods for solving challenging combinatorial problems. Specifically, we develop innovative hybrid algorithms that combine techniques from artificial intelligence, such as logical reasoning, machine learning, and operations research. To do so, we are using various methods such as constraint programming, backtraking algorithms, reinforcement learning, and deep learning.

The group mission is to show how different sub-fields of artitifical intelligence can be combined together in order so solve challenging decision-making problems, arising in many industrial contexts. One of our focus is on the accessibility of the methods conceived. We strive to make them easy to use for non-experts and small companies.

The group is led by Quentin Cappart and Louis-Martin Rousseau from Polytechnique Montréal. It is associated with the interuniversity research centre on enterprise Networks, logistics and transportation (CIRRELT).