Training Large-Scale Deep Nets with RL with Nando de Freitas

800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we close out both our NeurIPS series and our 2018 conference coverage with this interview with Nando de Freitas, Team Lead & Principal Scientist at Deepmind and Fellow at the Canadian Institute for Advanced Research.

In our conversation, we explore his interest in understanding the brain and working towards artificial general intelligence through techniques like meta-learning, few-shot learning and imitation learning. In particular, we dig into a couple of his team’s NeurIPS papers: “Playing hard exploration games by watching YouTube,” and “One-Shot high-fidelity imitation: Training large-scale deep nets with RL.”

About Nando

Mentioned in the Interview

“More On That Later” by Lee Rosevere licensed under CC By 4.0

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