Glen Berseth is an assistant professor at the Université de Montréal, a core academic member of the Mila – Quebec AI Institute, CIFAR AI chair, and co-director of the Robotics and Embodied AI Lab (REAL). He was a Postdoctoral Researcher at Berkeley Artificial Intelligence Research (BAIR), working with Sergey Levine. His previous and current research has focused on solving sequential decision-making problems (planning) for real-world autonomous learning systems (robots). The specific of his research has covered the areas of human-robot collaboration, reinforcement, continual-, meta-, multi-agent, and hierarchical learning. Dr. Berseth has published across the top venues in robotics, machine learning, and computer animation in his work. He also teaches a course on robot learning at Université de Montréal and Mila, covering the most recent research on machine learning techniques for creating generalist robots.