Teaching
I teach reinforcement learning and machine learning at the Université de Montréal's DIRO. My courses are built around two open books.
Fall 2026
-
IFT6162, Apprentissage par renforcement et commande optimale
Graduate course on reinforcement learning and optimal control, taught in person. The syllabus and the course book are online.
-
IFT6761, Colloque 1
Seminar for students of the DESS in machine learning. This term's theme is doing science with LLM tools: validation and the scientific method.
Course books
-
Building Up RL: From Dynamics and Control to Learning
For IFT6162. Starts from dynamics, trajectory optimization and model predictive control, and builds up to reinforcement learning. In English.
-
Fondements de l'apprentissage machine
For IFT3395/IFT6390. Supervised learning and generalization, the probabilistic view, neural networks and ensemble methods. In French.