The Lab performs research across machine learning, planning and robotics. See our publications for more details on what the current members are studying.

Here is a mutable list of topics of interest for the lab. Students should be interested in these topics when applying and reference their related topics of interest when applying.

  • Sequential decision making and reinforcement learning: multi-agent RL, generalization in RL, hierarchical RL, sample efficient RL, RL for discovery, language-based RL agents, goal conditioned RL, offline RL.
  • Unsupervised Learning: unsupervised RL, intrinsic rewards, representation learning for deepRL, safe RL.
  • Robotics: Legged robotics, planning from vision, autonomous learning, large models for robotics, control theory, Sim2Real.
  • Computer Vision: Vision models for robotics, vision-language models, invariant representations.

Please apply through one of these forms. It is unlikely I will respond to individual emails.

Undergraduate, IFT3150 project, intern, or visiting research MSc/PhD

Please apply through this form.

Interested in MSc or PhD supervision

Please apply through Mila admissions or UdeM admissions. Review my tips on preparing applications to graduate school before applying. After you are admitted, please contact me for potential supervision.

Interested in Post-Doctoral Research

Please apply through this form.