Machine Intelligence and Robot Learning (MIRL)

The Machine Intelligence and Robot Learning (MIRL) Lab at the University of Ottawa develops data-efficient, safe, and adaptive machine learning systems, with a focus on reinforcement learning and deep learning for real-world applications.

Our research lies at the intersection of machine learning, robotics, and decision-making under uncertainty, with the goal of enabling intelligent agents to operate reliably in complex and dynamic environments.

Research Focus

Reinforcement Learning

• Goal-conditioned and model-based RL
• Continual RL
• Safe and reliable learning
• Sample-efficient exploration
• Sim-to-real transfer

Applications

• Robotics and autonomous systems
• Healthcare and biomedical systems
• Industrial automation
• AI for science, environment, and climate

People

(Coming soon — current PhD, MSc, undergraduate students, and collaborators)

Selected Projects

(Coming soon — highlight key research projects, open-source work, and systems)

Join the Lab

We are always looking for motivated students interested in reinforcement learning, deep learning, and robotics.

Apply here

Prospective MSc and PhD students should indicate Colin Bellinger as their preferred supervisor when applying to uOttawa EECS.

Affiliations

• University of Ottawa — School of EECS
• IARA Lab
• Vector Institute (Faculty Affiliate) ``