Tutorial: Nonstochastic Control
Tutorial, Conference on Decision and Control, Rio de Janeiro, Brazil. Co-presenters: Elad Hazan.
Slides. Website.
Talks
Tutorials
Tutorial: Foundations of Imitation Learning: From Language Modeling to Continuous Control
Tutorial, NeurIPS, San Diego, CA. Co-presenters: Adam Block, Dylan Foster.
Slides. Video. Website.Invited Talks
Do We Need Diffusion in Robotics?
Talk, Diffusion Generative Modeling: Progress and Next Steps, Simons Institute for the Theory of Computing, Berkeley, CA.
Website.Diffusion: Do We Need It in Robot Learning?
Talk, Diffusion for Robot Learning Workshop, Robotics: Science and Systems, Sydney, Australia.
Website.Generative Control, Action Chunking, and Moravec’s Paradox
Talk, Carnegie Mellon Robotics Seminar, Pittsburgh, PA.
Website.Generative Control, Action Chunking, and Moravec’s Paradox
Talk, Stanford Robotics Seminar, Stanford, CA.
Website.A Mathematical Basis for Moravec’s Paradox
Talk, Berkeley CLIMB Seminar, Berkeley, CA.
Website.A Mathematical Basis for Moravec’s Paradox
Talk, MIT Statistics Seminar, Cambridge, MA.
Why We Chunk Our Actions (and other curiosities of modern robot learning)
Talk, CoRL 2025 Workshop on Making Sense of Data in Robotics, Seoul, South Korea.
Website.Why AI is Harder in the Physical World (and what to maybe do about it)
Talk, SFU@ICML Workshop, July 2025, Vancouver, BC, Canada.
Slides. Website.The Pitfalls of Imitation Learning when Actions are Continuous
Talk, RL Theory Virtual Seminar, Virtual.
Slides. Video. Website.