Oct 14, 2021 • 50M

Chelsea Finn on Meta Learning & Model Based Reinforcement Learning

An interview Stanford Professor Chelsea Finn, whose research deals with the capability of robots and other agents to develop broadly intelligent behavior through learning and interaction

 
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Andrey Kurenkov
Interviews with various people who research, build, or use AI, including academics, engineers, artists, entrepreneurs, and more.
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In episode 13 of The Gradient Podcast, we interview Stanford Professor Chelsea Finn

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Chelsea is an Assistant Professor at Stanford University. Her lab, IRIS, studies intelligence through robotic interaction at scale, and is affiliated with SAIL and the Statistical ML Group. I also spend time at Google as a part of the Google Brain team. Her research deals with the capability of robots and other agents to develop broadly intelligent behavior through learning and interaction.

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Podcast Theme: “MusicVAE: Trio 16-bar Sample #2” from "MusicVAE: A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music".