RISE Seminar: Jason Gauci: Reinforcement Learning in Production
October 26, 2017
This week’s RISE Seminar will be Jason Gauci from Facebook. Lunch will be served.
Where: Wozniak Lounge, Soda Hall Thursday 26th 12:30-1:30
Title: Reinforcement Learning in Production
Abstract: All recommender systems follow some policy. Historically, the policy has been engineered by hand: most of the machine learning focused on supervised learning techniques to provide as much signal to the policy engineers as possible. However, the goals of a recommender system (conversions, customer satisfaction, engagement) are integrated across some time horizon. At Facebook we have found that reinforcement learning (RL) gives us the ability to optimize directly for our key goals and this talk will focus on our on-going effort to scale RL and use RL models to make recommendations for billions of people.