Presented By O’Reilly and Intel AI
Put AI to work
8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK
Eric Liang

Eric Liang
Graduate Student, UC Berkeley RISELab

Eric Liang is a second-year PhD student working in the UC Berkeley RISELab with Ion Stoica. He works on frameworks and applications for machine learning and reinforcement learning. Previously, he spent several years working on systems in industry at Databricks and Google.

Sessions

13:30–17:00 Tuesday, 9 October 2018
Location: Blenheim Room - Palace Suite
Secondary topics:  Reinforcement Learning, Text, Language, and Speech
Richard Liaw (UC Berkeley RISELab), Eric Liang (UC Berkeley RISELab)
Ion Stoica, Robert Nishihara, Richard Liaw, Eric Liang, and Philipp Moritz lead a deep dive into Ray, a new distributed execution framework for reinforcement learning applications, walking you through Ray's API and system architecture and sharing application examples, including several state-of-the art RL algorithms. Read more.