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

  
0:00
-49:39

In episode 13 of The Gradient Podcast, we interview Stanford Professor Chelsea Finn

Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSS

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.

Links:

Review on Apple Podcasts

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