26 min listen
Ray: A Distributed Computing Platform for Reinforcement Learning with Ion Stoica - TWiML Talk #55
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Ray: A Distributed Computing Platform for Reinforcement Learning with Ion Stoica - TWiML Talk #55
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
ratings:
Length:
28 minutes
Released:
Oct 5, 2017
Format:
Podcast episode
Description
The show you’re about to hear is part of a series of shows recorded in San Francisco at the Artificial Intelligence Conference. In this episode, I talk with Ion Stoica, professor of computer science & director of the RISE Lab at UC Berkeley. Ion joined us after he gave his talk “Building reinforcement learning applications with Ray.” We dive into Ray, a new distributed computing platform for RL, as well as RL generally, along with some of the other interesting projects RISE Lab is working on, like Clipper & Tegra. This was a pretty interesting talk. Enjoy! The notes for this show can be found at twimlai.com/talk/55
Released:
Oct 5, 2017
Format:
Podcast episode
Titles in the series (100)
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