Search Results for author: Jacob Sacks

Found 3 papers, 1 papers with code

An Online Learning Approach to Model Predictive Control

no code implementations24 Feb 2019 Nolan Wagener, Ching-An Cheng, Jacob Sacks, Byron Boots

In this paper, we show that there exists a close connection between MPC and online learning, an abstract theoretical framework for analyzing online decision making in the optimization literature.

Decision Making

Differentiable MPC for End-to-end Planning and Control

2 code implementations NeurIPS 2018 Brandon Amos, Ivan Dario Jimenez Rodriguez, Jacob Sacks, Byron Boots, J. Zico Kolter

We present foundations for using Model Predictive Control (MPC) as a differentiable policy class for reinforcement learning in continuous state and action spaces.

Imitation Learning

In-RDBMS Hardware Acceleration of Advanced Analytics

no code implementations8 Jan 2018 Divya Mahajan, Joon Kyung Kim, Jacob Sacks, Adel Ardalan, Arun Kumar, Hadi Esmaeilzadeh

The data revolution is fueled by advances in machine learning, databases, and hardware design.

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