Reinforcement Learning Deep Dive with Pieter Abbeel - TWiML Talk #28 episode artwork

EPISODE · Jun 17, 2017 · 52 MIN

Reinforcement Learning Deep Dive with Pieter Abbeel - TWiML Talk #28

from The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) · host Sam Charrington

This week our guest is Pieter Abbeel, Assistant Professor at UC Berkeley, Research Scientist at OpenAI, and Cofounder of Gradescope. Pieter has an extensive background in AI research, going way back to his days as Andrew Ng’s first PhD student at Stanford. His research today is focused on deep learning for robotics. During this conversation, Pieter and I really dig into reinforcement learning, a technique for allowing robots (or AIs) to learn through their own trial and error. Nerd alert!! This conversation explores cutting edge research with one of the leading researchers in the field and, as a result, it gets pretty technical at times. I try to uplevel it when I can keep up myself, so hang in there. I promise that you’ll learn a ton if you keep with it. The notes for this show can be found at twimlai.com/talk/28

Episode metadata supplied by the publisher feed · Published Jun 17, 2017

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Reinforcement Learning Deep Dive with Pieter Abbeel - TWiML Talk #28

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