Posts Tagged :

Deep Reinforcement Learning

The Future of Mixed-Autonomy Traffic with Alexandre Bayen
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we are joined by Alexandre Bayen, Director of the Institute for Transportation Studies and Professor at UC Berkeley. … Read the rest

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Safer Exploration in Deep Reinforcement Learning using Action Priors with Sicelukwanda Zwane
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we conclude our Black in AI series with this interview with Sicelukwanda Zwane, a masters student at the University of Witwatersrand and graduate research assistant at South Africa’s Council…

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Studying Language Evolution With Reinforcement Learning and more from TWIML & AI
683 1024 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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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Deep Reinforcement Learning Primer and Research Frontiers with Kamyar Azizzadenesheli
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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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OpenAI Five with Christy Dennison
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we’re joined by Christy Dennison, Machine Learning Engineer at OpenAI. … Read the rest

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What’s Hot in AI: Deep Reinforcement Learning Edition
789 445 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Deep reinforcement learning (DRL) is an exciting area of AI research, with potential applicability to a variety of problem areas. We’ve discussed DRL several times on the podcast to date…

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