Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction

no code implementations • 1 Nov 2018 • Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Kesheng Wu

Computational efficiency is an important consideration for deploying machine learning models for time series prediction in an online setting.

BIG-bench Machine Learning Computational Efficiency +5

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

no code implementations • 30 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)