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)

Machine Learning for Security and Security for Machine Learning with Nicole Nichols - TWiML Talk #252

Machine Learning for Security and Security for Machine Learning with Nicole Nichols - TWiML Talk #252

Today we’re joined by Nicole Nichols, a senior research scientist at the Pacific Northwest National Lab. We discuss her recent presentation at GTC, which was titled “Machine Learning for Security, and...

16 Huhti 201941min

Domain Adaptation and Generative Models for Single Cell Genomics with Gerald Quon - TWiML Talk #251

Domain Adaptation and Generative Models for Single Cell Genomics with Gerald Quon - TWiML Talk #251

Today we’re joined by Gerald Quon, assistant professor at UC Davis. Gerald presented his work on Deep Domain Adaptation and Generative Models for Single Cell Genomics at GTC this year, which explores...

15 Huhti 201932min

Mapping Dark Matter with Bayesian Neural Networks w/ Yashar Hezaveh - TWiML Talk #250

Mapping Dark Matter with Bayesian Neural Networks w/ Yashar Hezaveh - TWiML Talk #250

Today we’re joined by Yashar Hezaveh, Assistant Professor at the University of Montreal. Yashar and I caught up to discuss his work on gravitational lensing, which is the bending of light from distant...

11 Huhti 201934min

Deep Learning for Population Genetic Inference with Dan Schrider - TWiML Talk #249

Deep Learning for Population Genetic Inference with Dan Schrider - TWiML Talk #249

Today we’re joined by Dan Schrider, assistant professor in the department of genetics at UNC Chapel Hill. My discussion with Dan starts with an overview of population genomics, looking into his appl...

9 Huhti 201949min

Empathy in AI with Rob Walker - TWiML Talk #248

Empathy in AI with Rob Walker - TWiML Talk #248

Today we’re joined by Rob Walker, Vice President of Decision Management at Pegasystems. Rob joined us back in episode 127 to discuss “Hyperpersonalizing the customer experience.” Today, he’s back fo...

5 Huhti 201940min

Benchmarking Custom Computer Vision Services at Urban Outfitters with Tom Szumowski - TWiML Talk #247

Benchmarking Custom Computer Vision Services at Urban Outfitters with Tom Szumowski - TWiML Talk #247

Today we’re joined by Tom Szumowski, Data Scientist at URBN, parent company of Urban Outfitters and other consumer fashion brands. Tom and I caught up to discuss his project “Exploring Custom Vision S...

3 Huhti 201950min

Pragmatic Quantum Machine Learning with Peter Wittek - TWiML Talk #245

Pragmatic Quantum Machine Learning with Peter Wittek - TWiML Talk #245

Today we’re joined by Peter Wittek, Assistant Professor at the University of Toronto working on quantum-enhanced machine learning and the application of high-performance learning algorithms. In our ...

1 Huhti 20191h 5min

*Bonus Episode* A Quantum Machine Learning Algorithm Takedown with Ewin Tang - TWiML Talk #246

*Bonus Episode* A Quantum Machine Learning Algorithm Takedown with Ewin Tang - TWiML Talk #246

In this special bonus episode of the podcast, I’m joined by Ewin Tang, a PhD student in the Theoretical Computer Science group at the University of Washington. In our conversation, Ewin and I dig in...

1 Huhti 201940min

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