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.

Episoder(779)

Supporting TensorFlow at Airbnb with Alfredo Luque - TWiML Talk #244

Supporting TensorFlow at Airbnb with Alfredo Luque - TWiML Talk #244

Today we're joined by Alfredo Luque, a software engineer on the machine infrastructure team at Airbnb. If you’re interested in AI Platforms and ML infrastructure, you probably remember my interview w...

28 Mar 201940min

Mining the Vatican Secret Archives with TensorFlow w/ Elena Nieddu - TWiML Talk #243

Mining the Vatican Secret Archives with TensorFlow w/ Elena Nieddu - TWiML Talk #243

Today we’re joined by Elena Nieddu, Phd Student at Roma Tre University, who presented on her project “In Codice Ratio” at the TF Dev Summit. In our conversation, Elena provides an overview of the pro...

27 Mar 201943min

Exploring TensorFlow 2.0 with Paige Bailey - TWiML Talk #242

Exploring TensorFlow 2.0 with Paige Bailey - TWiML Talk #242

Today we're joined by Paige Bailey, TensorFlow developer advocate at Google, to discuss the TensorFlow 2.0 alpha release. Paige and I talk through the latest TensorFlow updates, including the evolutio...

25 Mar 201939min

Privacy-Preserving Decentralized Data Science with Andrew Trask - TWiML Talk #241

Privacy-Preserving Decentralized Data Science with Andrew Trask - TWiML Talk #241

Today we’re joined by Andrew Trask, PhD student at the University of Oxford and Leader of the OpenMined Project, an open-source community focused on researching, developing, and promoting tools for se...

21 Mar 201933min

The Unreasonable Effectiveness of the Forget Gate with Jos Van Der Westhuizen - TWiML Talk #240

The Unreasonable Effectiveness of the Forget Gate with Jos Van Der Westhuizen - TWiML Talk #240

Today we’re joined by Jos Van Der Westhuizen, PhD student in Engineering at Cambridge University. Jos’ research focuses on applying LSTMs, or Long Short-Term Memory neural networks, to biological dat...

18 Mar 201932min

Building a Recommendation Agent for The North Face with Andrew Guldman - TWiML Talk #239

Building a Recommendation Agent for The North Face with Andrew Guldman - TWiML Talk #239

Today we’re joined by Andrew Guldman, VP of Product Engineering and R&D at Fluid to discuss Fluid XPS, a user experience built to help the casual shopper decide on the best product choices during onli...

14 Mar 201947min

Active Learning for Materials Design with Kevin Tran - TWiML Talk #238

Active Learning for Materials Design with Kevin Tran - TWiML Talk #238

Today we’re joined by Kevin Tran, PhD student at Carnegie Mellon University. In our conversation, we explore the challenges surrounding the creation of renewable energy fuel cells, which is discussed ...

11 Mar 201933min

Deep Learning in Optics with Aydogan Ozcan - TWiML Talk #237

Deep Learning in Optics with Aydogan Ozcan - TWiML Talk #237

Today we’re joined by Aydogan Ozcan, Professor of Electrical and Computer Engineering at UCLA, exploring his group's research into the intersection of deep learning and optics, holography and computat...

7 Mar 201942min

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