The Gradient
The Gradient: Perspectives on AI
Chelsea Finn on Meta Learning & Model Based Reinforcement Learning
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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

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.

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".

The Gradient
The Gradient: Perspectives on AI
Deeply researched, technical interviews with experts thinking about AI and technology.