AI Rewind 2020: Trends in Reinforcement Learning with Pablo Samuel Castro

EPISODE 443
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About this Episode

Today we kick off our annual AI Rewind series joined by friend of the show Pablo Samuel Castro, a Staff Research Software Developer at Google Brain.

Pablo joined us earlier this year for a discussion about Music & AI, and his Geometric Perspective on Reinforcement Learning, as well our RL office hours during the inaugural TWIMLfest. In today's conversation, we explore some of the latest and greatest RL advancements coming out of the major conferences this year, broken down into a few major themes, Metrics/Representations, Understanding and Evaluating Deep Reinforcement Learning, and RL in the Real World. This was a very fun conversation, and we encourage you to check out all the great papers and other resources available below.

We want to hear from you! Send your thoughts on the year that was 2020 below in the comments, or via Twitter at @samcharrington or @twimlai.

To follow along with the 2020 AI Rewind Series, head over to the series page!

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Thanks to our sponsor Pachyderm

Pachyderm is an enterprise-grade, open source data science platform that makes explainable, repeatable, and scalable machine learning and artificial intelligence possible. The platform brings together version control for data with the tools to build scalable end-to-end machine learning and artificial intelligence pipelines while empowering users to use any language, framework, or tool they want. The company is headquartered in San Francisco and is backed by Benchmark, M12, YCombinator and others.
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