Grady Williams

According to our database, Grady Williams authored at least 17 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Robust Model Predictive Path Integral Control: Analysis and Performance Guarantees.

Manan Gandhi, Bogdan I. Vlahov, Jason Gibson, Grady Williams, Evangelos A. Theodorou

IEEE Robotics Autom. Lett., 2021

2019

Vision-Based High-Speed Driving With a Deep Dynamic Observer.

Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg

IEEE Robotics Autom. Lett., 2019

Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics.

Grady Williams, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou

CoRR, 2019

Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control.

Grady R. Williams, Brian Goldfain, Keuntaek Lee, Jason Gibson, James M. Rehg, Evangelos A. Theodorou

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Information Theoretic Model Predictive Control on Jump Diffusion Processes.

Ziyi Wang, Grady Williams, Evangelos A. Theodorou

Proceedings of the 2019 American Control Conference, 2019

2018

Information-Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving.

Grady Williams, Paul Drews, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou

IEEE Trans. Robotics, 2018

Robust Sampling Based Model Predictive Control with Sparse Objective Information.

Grady Williams, Brian Goldfain, Paul Drews, Kamil Saigol, James M. Rehg, Evangelos A. Theodorou

Proceedings of the Robotics: Science and Systems XIV, 2018

Best Response Model Predictive Control for Agile Interactions Between Autonomous Ground Vehicles.

Grady Williams, Brian Goldfain, Paul Drews, James M. Rehg, Evangelos A. Theodorou

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Autonomous Racing with AutoRally Vehicles and Differential Games.

Grady Williams, Brian Goldfain, Paul Drews, James M. Rehg, Evangelos A. Theodorou

CoRR, 2017

A Unifying Framework for Guiding Point Processes with Stochastic Intensity Functions.

Yichen Wang, Grady Williams, Evangelos A. Theodorou, Le Song

CoRR, 2017

Aggressive Deep Driving: Model Predictive Control with a CNN Cost Model.

Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg

CoRR, 2017

Information theoretic MPC for model-based reinforcement learning.

Grady Williams, Nolan Wagener, Brian Goldfain, Paul Drews, James M. Rehg, Byron Boots, Evangelos A. Theodorou

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Variational Policy for Guiding Point Processes.

Yichen Wang, Grady Williams, Evangelos A. Theodorou, Le Song

Proceedings of the 34th International Conference on Machine Learning, 2017

Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control.

Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016

Aggressive driving with model predictive path integral control.

Grady Williams, Paul Drews, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

GPU Based Path Integral Control with Learned Dynamics.

Grady Williams, Eric Rombokas, Tom Daniel

CoRR, 2015

Model Predictive Path Integral Control using Covariance Variable Importance Sampling.

Grady Williams, Andrew Aldrich, Evangelos A. Theodorou

CoRR, 2015