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8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK
Eric Liang

Eric Liang
Graduate Student, University of California, Berkeley, RISELab

Eric Liang is a second-year PhD student working in the University of California, 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
Building reinforcement learning applications with Ray
Location: Blenheim Room - Palace Suite
Secondary topics:  Reinforcement Learning, Text, Language, and Speech
Richard Liaw (UC Berkeley RISELab), Eric Liang (University of California, 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.