Leslie Kaelbling

Leslie Kaelbling is the Panasonic Professor of Computer Science and Engineering at MIT and a scientific director of the MIT Quest for Intelligence. She is also an investigator at the Computer Science and Artificial Intelligence Laboratory.  Her research aim is to building intelligent robots, with a focus on learning, state estimation, and planning under uncertainty. Kaelbling has previously worked at Brown University, Teleos Research, and the Artificial Intelligence Center of SRI International.  Kaelbling is the founder and first editor-in-chief of the open-access Journal of Machine Learning Research. She is also a fellow of the Association for the Advancement of Artificial Intelligence. She received a BA in philosophy, and a PhD in computer science from Stanford University.

Publications

• Alet, F., Schneider, M., Lozano-Perez, T., Kaelbling, L. P. (2020). Meta-learning curiosity algorithms. International Conference on Learning Representations.
• Garrett, C. R., Lozano-Perez, T., Kaelbling, L. P. (2020). PDDLStream: Integrating Symbolic Planners and Blackbox Samplers. International Conference on Automated Planning and Scheduling.
• Garrett, C. R., Paxton, C., Lozano-Perez, T., Kaelbling, L. P., Fox, D. (2020). Online Replanning in Belief Space for Partially Observable Task and Motion Problems. International Conference on Robotics and Automation.
• Kim, B., Wang, Z., Kaelbling, L. P., Lozano-Pérez, T. (2019). Learning to guide task and motion planning using score-space representation.
  The International Journal of Robotics Research 38 (7), 793-812.

Media

• Oct. 21, 2019: MIT News, Pushy robots learn the fundamentals of object manipulation.
• October 1, 2018: MIT News, Ideas abound at Quest for Intelligence workshop.