Ray: A Distributed Computing Platform for Reinforcement Learning with Ion Stoica

EPISODE 55
LISTEN
Banner Image: Ion Stoica - Podcast Interview

Join our list for notifications and early access to events

About this Episode

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!

Connect with Ion
Read More

Related Episodes

Related Topics

More from TWIML

Leave a Reply

Your email address will not be published. Required fields are marked *