Provably efficient reinforcement learning with Dr. Akshay Krishnamurthy | Podcast
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04.11.22 – 1 8542:12:42Опубликовано 3 июня 2020, 10:00
Episode 117 | June 3, 2020
MSR’s New York City lab is home to some of the best reinforcement learning research on the planet but if you ask any of the researchers, they’ll tell you they’re very interested in getting it out of the lab and into the real world. One of those researchers is Dr. Akshay Krishnamurthy and today, he explains how his work on feedback-driven data collection and provably efficient reinforcement learning algorithms is helping to move the RL needle in the real-world direction.
See more on this and other Microsoft Research podcast episodes: microsoft.com/en-us/research/b...
MSR’s New York City lab is home to some of the best reinforcement learning research on the planet but if you ask any of the researchers, they’ll tell you they’re very interested in getting it out of the lab and into the real world. One of those researchers is Dr. Akshay Krishnamurthy and today, he explains how his work on feedback-driven data collection and provably efficient reinforcement learning algorithms is helping to move the RL needle in the real-world direction.
See more on this and other Microsoft Research podcast episodes: microsoft.com/en-us/research/b...
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