Search Results for author: Francois Belletti

Found 7 papers, 3 papers with code

Quantifying Long Range Dependence in Language and User Behavior to improve RNNs

no code implementations23 May 2019 Francois Belletti, Minmin Chen, Ed H. Chi

Characterizing temporal dependence patterns is a critical step in understanding the statistical properties of sequential data.

Language Modelling Sequential Recommendation +2

Top-K Off-Policy Correction for a REINFORCE Recommender System

1 code implementation6 Dec 2018 Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed Chi

The contributions of the paper are: (1) scaling REINFORCE to a production recommender system with an action space on the orders of millions; (2) applying off-policy correction to address data biases in learning from logged feedback collected from multiple behavior policies; (3) proposing a novel top-K off-policy correction to account for our policy recommending multiple items at a time; (4) showcasing the value of exploration.

Recommendation Systems

Expert Level control of Ramp Metering based on Multi-task Deep Reinforcement Learning

no code implementations30 Jan 2017 Francois Belletti, Daniel Haziza, Gabriel Gomes, Alexandre M. Bayen

This article shows how the recent breakthroughs in Reinforcement Learning (RL) that have enabled robots to learn to play arcade video games, walk or assemble colored bricks, can be used to perform other tasks that are currently at the core of engineering cyberphysical systems.

reinforcement-learning Reinforcement Learning (RL)

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