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)

Topic Modeling for Customer Insights at USAA with William Fehlman - TWIML Talk #276

Topic Modeling for Customer Insights at USAA with William Fehlman - TWIML Talk #276

Today we’re joined by William Fehlman, director of data science at USAA, to discuss: • His work on topic modeling, which USAA uses in various scenarios, including member chat channels. • How their ...

20 Kesä 201944min

Phronesis of AI in Radiology with Judy Gichoya - TWIML Talk #275

Phronesis of AI in Radiology with Judy Gichoya - TWIML Talk #275

Today we’re joined by Judy Gichoya an interventional radiology fellow at the Dotter Institute at Oregon Health and Science University. In our conversation, we discuss: • Judy's research on the paper ...

18 Kesä 201943min

The Ethics of AI-Enabled Surveillance with Karen Levy - TWIML Talk #274

The Ethics of AI-Enabled Surveillance with Karen Levy - TWIML Talk #274

Today we’re joined by Karen Levy, assistant professor in the department of information science at Cornell University. Karen’s research focuses on how rules and technologies interact to regulate behavi...

14 Kesä 201943min

Supporting Rapid Model Development at Two Sigma with Matt Adereth & Scott Clark - TWIML Talk #273

Supporting Rapid Model Development at Two Sigma with Matt Adereth & Scott Clark - TWIML Talk #273

Today we’re joined by Matt Adereth, managing director of investments at Two Sigma, and return guest Scott Clark, co-founder and CEO of SigOpt, to discuss: • The end to end modeling platform at Two Si...

11 Kesä 201946min

Scaling Model Training with Kubernetes at Stripe with Kelley Rivoire - TWIML Talk #272

Scaling Model Training with Kubernetes at Stripe with Kelley Rivoire - TWIML Talk #272

Today we’re joined by Kelley Rivoire, engineering manager working on machine learning infrastructure at Stripe. Kelley and I caught up at a recent Strata Data conference to discuss: • Her talk "Scali...

6 Kesä 201942min

Productizing ML at Scale at Twitter with Yi Zhuang - TWIML Talk #271

Productizing ML at Scale at Twitter with Yi Zhuang - TWIML Talk #271

Today we continue our AI Platforms series joined by Yi Zhuang, Senior Staff Engineer at Twitter. In our conversation, we cover:  • The machine learning landscape at Twitter, including with the histor...

3 Kesä 201946min

Snorkel: A System for Fast Training Data Creation with Alex Ratner - TWiML Talk #270

Snorkel: A System for Fast Training Data Creation with Alex Ratner - TWiML Talk #270

Today we’re joined by Alex Ratner, Ph.D. student at Stanford, to discuss: • Snorkel, the open source framework that is the successor to Stanford's Deep Dive project. • How Snorkel is used as a frame...

30 Touko 201943min

Advancing Autonomous Vehicle Development Using Distributed Deep Learning with Adrien Gaidon - TWiML Talk #269

Advancing Autonomous Vehicle Development Using Distributed Deep Learning with Adrien Gaidon - TWiML Talk #269

In this, the kickoff episode of AI Platforms Vol. 2, we're joined by Adrien Gaidon, Machine Learning Lead at Toyota Research Institute. Adrien and I caught up to discuss his team’s work on deploying d...

28 Touko 201948min

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