Presented By O’Reilly and Intel AI
Put AI to work
Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA
Philipp Moritz

Philipp Moritz
UC Berkeley, University of California, Berkeley

Website

Philipp Moritz is a PhD candidate in the Electrical Engineering and Computer Sciences (EECS) Department at the University of California, Berkeley, with broad interests in artificial intelligence, machine learning, and distributed systems. He’s a member of the Statistical AI Lab and the RISELab.

Sessions

1:30pm-5:00pm Wednesday, September 5, 2018
Building reinforcement learning applications with Ray
Implementing AI
 Location: Continental 7/8
Secondary topics:  Reinforcement Learning
Robert Nishihara (University of California, Berkeley), Philipp Moritz (University of California, Berkeley), Ion Stoica (University of California, Berkeley)
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Ray is a new distributed execution framework for reinforcement learning applications. Ion Stoica, Robert Nishihara, and Philipp Moritz lead a deep dive into Ray, walking you through its API and system architecture and sharing application examples, including several state-of-the-art reinforcement learning algorithms. Read more.