Trends in Reinforcement Learning with Pablo Samuel Castro - #443

Trends in Reinforcement Learning with Pablo Samuel Castro - #443

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 on the show notes page.

Jaksot(779)

Language Modeling and Protein Generation at Salesforce with Richard Socher - #372

Language Modeling and Protein Generation at Salesforce with Richard Socher - #372

Today we’re joined Richard Socher, Chief Scientist and Executive VP at Salesforce. Richard and his team have published quite a few great projects lately, including CTRL: A Conditional Transformer Lang...

4 Touko 202042min

AI Research at JPMorgan Chase with Manuela Veloso - #371

AI Research at JPMorgan Chase with Manuela Veloso - #371

Today we’re joined by Manuela Veloso, Head of AI Research at J.P. Morgan Chase. Since moving from CMU to JP Morgan Chase, Manuela and her team established a set of seven lofty research goals. In this ...

30 Huhti 202046min

Panel: Responsible Data Science in the Fight  Against COVID-19 - #370

Panel: Responsible Data Science in the Fight Against COVID-19 - #370

In this discussion, we explore how data scientists and ML/AI practitioners can responsibly contribute to the fight against coronavirus and COVID-19. Four experts: Rex Douglass, Rob Munro, Lea Shanley,...

29 Huhti 202058min

Adversarial Examples Are Not Bugs, They Are Features with Aleksander Madry - #369

Adversarial Examples Are Not Bugs, They Are Features with Aleksander Madry - #369

Today we’re joined by Aleksander Madry, Faculty in the MIT EECS Department, to discuss his paper “Adversarial Examples Are Not Bugs, They Are Features.” In our conversation, we talk through what we ex...

27 Huhti 202041min

AI for Social Good: Why "Good" isn't Enough with Ben Green - #368

AI for Social Good: Why "Good" isn't Enough with Ben Green - #368

Today we’re joined by Ben Green, PhD Candidate at Harvard and Research Fellow at the AI Now Institute at NYU. Ben’s research is focused on the social and policy impacts of data science, with a focus...

23 Huhti 202041min

The Evolution of Evolutionary AI with Risto Miikkulainen - #367

The Evolution of Evolutionary AI with Risto Miikkulainen - #367

Today we’re joined by Risto Miikkulainen, Associate VP of Evolutionary AI at Cognizant AI. Risto joined us back on episode #47 to discuss evolutionary algorithms, and today we get an update on the lat...

20 Huhti 202037min

Neural Architecture Search and Google’s New AutoML Zero with Quoc Le - #366

Neural Architecture Search and Google’s New AutoML Zero with Quoc Le - #366

Today we’re super excited to share our recent conversation with Quoc Le, a research scientist at Google. Quoc joins us to discuss his work on Google’s AutoML Zero, semi-supervised learning, and the de...

16 Huhti 202054min

Automating Electronic Circuit Design with Deep RL w/ Karim Beguir - #365

Automating Electronic Circuit Design with Deep RL w/ Karim Beguir - #365

Today we’re joined by return guest Karim Beguir, Co-Founder and CEO of InstaDeep. In our conversation, we chat with Karim about InstaDeep’s new offering, DeepPCB, an end-to-end platform for automated ...

13 Huhti 202035min

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