An Efficient Electric Vehicle Path-Planner That Considers the Waiting Time. - Jaël Champagne Gareau; Éric Beaudry; Vladimir Makarenkov (SIGSPATIAL/GIS, 2019)

An Energy-Efficient Method with Dynamic GPS Sampling Rate for Transport Mode Detection and Trip Reconstruction. - Jonathan Milot; Jaël Champagne Gareau; Éric Beaudry (Canadian AI, 2020)

Fast and Optimal Planner for the Discrete Grid-Based Coverage Path-Planning Problem. - Jaël Champagne Gareau; Éric Beaudry; Vladimir Makarenkov (IDEAL, 2021)

Cache-Efficient Memory Representation of Markov Decision Processes. - Jaël Champagne Gareau; Éric Beaudry; Vladimir Makarenkov (Canadian AI, 2022)

Fast and optimal branch-and-bound planner for the grid-based coverage path planning problem based on an admissible heuristic function. - Jaël Champagne Gareau; Éric Beaudry; Vladimir Makarenkov (Frontiers Robotics AI, 2022)

Cache-Efficient Dynamic Programming MDP Solver. - Jaël Champagne Gareau; Guillaume Gosset; Éric Beaudry; Vladimir Makarenkov (ECAI, 2023)

Cooperative Electric Vehicles Planning. - Jaël Champagne Gareau; Marc-André Lavoie; Guillaume Gosset; Éric Beaudry (AAMAS, 2024)

Topology-Driven Solver Selection for Stochastic Shortest Path MDPs via Explainable Machine Learning. - Mathieu Gravel; Jaël Champagne Gareau (Canadian AI, 2025)