Jason Gauci

Jason Gauci is a machine learning engineer in Core Machine Learning (CoreML). After building and deploying large-scale machine learning systems at Google and Apple, Jason joined CoreML in March 2016 to build and deploy large-scale reinforcement learning and multi-armed bandit platforms across the company. Outside of work Jason enjoys hiking outdoors and playing volleyball.

Jason's Publications

November 01, 2018

RESEARCH

Horizon: Facebook’s Open Source Applied Reinforcement Learning Platform

In this paper we present Horizon, Facebook’s open source applied reinforcement learning (RL) platform. Horizon is an end-to-end platform designed to solve industry applied RL problems where datasets are large (millions to billions of observations), the feedback loop is slow (vs. a simulator), and experiments must be done with care because they…

Jason Gauci, Edoardo Conti, Yitao Liang, Kittipat Virochsiri, Yuchen He, Zachary Kaden, Vivek Narayanan, Xiaohui Ye

November 01, 2018