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(778)

ML/DL for Non-Stationary Time Series Analysis in Financial Markets and Beyond with Stuart Reid - TWiML Talk #203

ML/DL for Non-Stationary Time Series Analysis in Financial Markets and Beyond with Stuart Reid - TWiML Talk #203

Today, we’re joined by Stuart Reid, Chief Scientist at NMRQL Research. NMRQL is an investment management firm that uses ML algorithms to make adaptive, unbiased, scalable, and testable trading decisi...

26 Marras 201858min

Industrializing Machine Learning at Shell with Daniel Jeavons - TWiML Talk #202

Industrializing Machine Learning at Shell with Daniel Jeavons - TWiML Talk #202

In this episode of our AI Platforms series, we’re joined by Daniel Jeavons, General Manager of Data Science at Shell. In our conversation, we explore the evolution of analytics and data science at Sh...

21 Marras 201845min

Resurrecting a Recommendations Platform at Comcast with Leemay Nassery - TWiML Talk #201

Resurrecting a Recommendations Platform at Comcast with Leemay Nassery - TWiML Talk #201

In this episode of our AI Platforms series, we’re joined by Leemay Nassery, Senior Engineering Manager and head of the recommendations team at Comcast. In our conversation, Leemay and I discuss just h...

19 Marras 201847min

Productive Machine Learning at LinkedIn with Bee-Chung Chen - TWiML Talk #200

Productive Machine Learning at LinkedIn with Bee-Chung Chen - TWiML Talk #200

In this episode of our AI Platforms series, we’re joined by Bee-Chung Chen, Principal Staff Engineer and Applied Researcher at LinkedIn. Bee-Chung and I caught up to discuss LinkedIn’s internal AI aut...

15 Marras 201847min

Scaling Deep Learning on Kubernetes at OpenAI with Christopher Berner - TWiML Talk #199

Scaling Deep Learning on Kubernetes at OpenAI with Christopher Berner - TWiML Talk #199

In this episode of our AI Platforms series we’re joined by OpenAI’s Head of Infrastructure, Christopher Berner. In our conversation, we discuss the evolution of OpenAI’s deep learning platform, the co...

12 Marras 201849min

Bighead: Airbnb's Machine Learning Platform with Atul Kale - TWiML Talk #198

Bighead: Airbnb's Machine Learning Platform with Atul Kale - TWiML Talk #198

In this episode of our AI Platforms series, we’re joined by Atul Kale, Engineering Manager on the machine learning infrastructure team at Airbnb. In our conversation, we discuss Airbnb’s internal mac...

8 Marras 201849min

Facebook's FBLearner Platform with Aditya Kalro - TWiML Talk #197

Facebook's FBLearner Platform with Aditya Kalro - TWiML Talk #197

In the kickoff episode of our AI Platforms series, we’re joined by Aditya Kalro, Engineering Manager at Facebook, to discuss their internal machine learning platform FBLearner Flow. FBLearner Flow is ...

6 Marras 201838min

Geometric Statistics in Machine Learning w/ geomstats with Nina Miolane - TWiML Talk #196

Geometric Statistics in Machine Learning w/ geomstats with Nina Miolane - TWiML Talk #196

In this episode we’re joined by Nina Miolane, researcher and lecturer at Stanford University. Nina and I spoke about her work in the field of geometric statistics in ML, specifically the application o...

1 Marras 201843min

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