Invited Talks

UC Berkeley

"A unifying Formalism for Reward Learning from Diverse Human Feedback"*

*talk from BayLearn 2019, used with permission

Aalto University

“Actively Interactive Learning from Human Demonstrations”

TU Munich

"Interactive and Incremental Robot Learning"

Stanford University

“Personalizing Robots through Learned Latent Actions”

University of Texas, Austin

"Probabilistically Safe and Correct Imitation Learning"

Garrett Warnell, UT Austin, Army Research Lab

and

Peter Stone, University of Texas at Austin, Sony AI

"Learning Robot Behaviors from Other Agents"

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