Search Results for author: Jacob Sacks

Found 6 papers, 2 papers with code

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.

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 Model Predictive Control

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 Model Predictive Control

Learning to Optimize in Model Predictive Control

no code implementations5 Dec 2022 Jacob Sacks, Byron Boots

We show that we can contend with this noise by learning how to update the control distribution more effectively and make better use of the few samples that we have.

Computational Efficiency Imitation Learning +1

Learning Sampling Distributions for Model Predictive Control

no code implementations5 Dec 2022 Jacob Sacks, Byron Boots

This requires us to rely on a number of heuristics for generating samples and updating the distribution and may lead to sub-optimal performance.

Model Predictive Control

Deep Model Predictive Optimization

1 code implementation6 Oct 2023 Jacob Sacks, Rwik Rana, Kevin Huang, Alex Spitzer, Guanya Shi, Byron Boots

A major challenge in robotics is to design robust policies which enable complex and agile behaviors in the real world.

Model Predictive Control

Cannot find the paper you are looking for? You can Submit a new open access paper.