Posts Tagged :

reinforcement learning

Rebooting AI: What’s Missing, What’s Next with Gary Marcus
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Today we are joined by Gary Marcus, CEO and Founder at Robust.AI. … Read the rest

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Disentangled Representations & Google Research Football with Olivier Bachem
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Today we’re joined by Olivier Bachem, a research scientist at Google AI on the Brain team. … Read the rest

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Studying Language Evolution With Reinforcement Learning and more from TWIML & AI
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Bits & Bytes Facebook and Google researchers build RL framework to study language evolution. Their research paper proposes a computational framework allowing agents to interact in a series of games and uses it…

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Trends in Reinforcement Learning with Simon Osindero
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In this episode of our AI Rewind series, we introduce a new friend of the show, Simon Osindero, Staff Research Scientist at DeepMind. … Read the rest

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re:Invent Roundup Roundtable 2018 with Dave McCrory and Val Bercovici
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

For today’s show, I’m excited to present our second annual re:Invent Roundtable Roundup. This year I’m joined by my friends Dave McCrory, VP of Software Engineering at Wise.io at GE Digital,…

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Advanced Reinforcement Learning & Data Science for Social Impact with Vukosi Marivate
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In this, the final show of our Deep Learning Indaba series, we speak with Vukosi Marivate, Chair of Data Science at the University of Pretoria and a co-organizer of the…

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Deep Reinforcement Learning Primer and Research Frontiers with Kamyar Azizzadenesheli
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Today we’re joined by Kamyar Azizzadenesheli, PhD student at the University of California, Irvine, and visiting researcher at Caltech where he works with Anima Anandkumar, who you might remember from…

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Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

In this episode, I’m joined by Ian Goodfellow, Staff Research Scientist at Google Brain and Sandy Huang, Phd Student in the EECS department at UC Berkeley, to discuss their work…

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Hot Topics in ML & AI in 2018!
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Happy New Year! I hope you had a great one and that you’re as pumped about 2018 as I am. I’ve enjoyed the opportunity to relax a bit with family…

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Ray: A Distributed Computing Platform for Reinforcement Learning with Ion Stoica
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
I talk with Ion Stoica, professor of computer science & director of the RISE Lab at UC Berkeley. We dive into Ray, a new distributed computing platform for RL, as well as RL generally, along with some of the other projects RISE Lab is working on, like Clipper & Tegra.read more
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