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Grady Williams
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Information theoretic mpc for model-based reinforcement learning
G Williams, N Wagener, B Goldfain, P Drews, JM Rehg, B Boots, ...
2017 IEEE international conference on robotics and automation (ICRA), 1714-1721, 2017
5802017
Aggressive driving with model predictive path integral control
G Williams, P Drews, B Goldfain, JM Rehg, EA Theodorou
2016 IEEE International Conference on Robotics and Automation (ICRA), 1433-1440, 2016
4352016
Model predictive path integral control: From theory to parallel computation
G Williams, A Aldrich, EA Theodorou
Journal of Guidance, Control, and Dynamics 40 (2), 344-357, 2017
2862017
Information-theoretic model predictive control: Theory and applications to autonomous driving
G Williams, P Drews, B Goldfain, JM Rehg, EA Theodorou
IEEE Transactions on Robotics 34 (6), 1603-1622, 2018
2452018
Model predictive path integral control using covariance variable importance sampling
G Williams, A Aldrich, E Theodorou
arXiv preprint arXiv:1509.01149, 2015
1342015
Aggressive deep driving: Combining convolutional neural networks and model predictive control
P Drews, G Williams, B Goldfain, EA Theodorou, JM Rehg
Conference on Robot Learning, 133-142, 2017
752017
Robust Sampling Based Model Predictive Control with Sparse Objective Information.
G Williams, B Goldfain, P Drews, K Saigol, JM Rehg, EA Theodorou
Robotics: Science and Systems 14, 2018, 2018
592018
Vision-based high-speed driving with a deep dynamic observer
P Drews, G Williams, B Goldfain, EA Theodorou, JM Rehg
IEEE Robotics and Automation Letters 4 (2), 1564-1571, 2019
542019
Best response model predictive control for agile interactions between autonomous ground vehicles
G Williams, B Goldfain, P Drews, JM Rehg, EA Theodorou
2018 IEEE International Conference on Robotics and Automation (ICRA), 2403-2410, 2018
532018
Aggressive deep driving: Model predictive control with a cnn cost model
P Drews, G Williams, B Goldfain, EA Theodorou, JM Rehg
arXiv preprint arXiv:1707.05303, 2017
432017
Robust model predictive path integral control: Analysis and performance guarantees
MS Gandhi, B Vlahov, J Gibson, G Williams, EA Theodorou
IEEE Robotics and Automation Letters 6 (2), 1423-1430, 2021
412021
Autonomous racing with autorally vehicles and differential games
G Williams, B Goldfain, P Drews, JM Rehg, EA Theodorou
arXiv preprint arXiv:1707.04540, 2017
312017
Variational policy for guiding point processes
Y Wang, G Williams, E Theodorou, L Song
International Conference on Machine Learning, 3684-3693, 2017
302017
Gpu based path integral control with learned dynamics
G Williams, E Rombokas, T Daniel
arXiv preprint arXiv:1503.00330, 2015
132015
Autonomous vehicle research system
B Goldfain, P Drews, J Rehg, E Theodorou, P Tsiotras, G Williams
US Patent 10,296,003, 2019
122019
Information theoretic model predictive control on jump diffusion processes
Z Wang, G Williams, EA Theodorou
2019 American Control Conference (ACC), 1663-1670, 2019
112019
Locally weighted regression pseudo-rehearsal for online learning of vehicle dynamics
G Williams, B Goldfain, JM Rehg, EA Theodorou
arXiv preprint arXiv:1905.05162, 2019
102019
Model predictive path integral control: Theoretical foundations and applications to autonomous driving
GR Williams
Georgia Institute of Technology, 2019
92019
Locally weighted regression pseudo-rehearsal for adaptive model predictive control
GR Williams, B Goldfain, K Lee, J Gibson, JM Rehg, EA Theodorou
Conference on Robot Learning, 969-978, 2020
82020
Information theoretic MPC using neural network dynamics
G Williams, N Wagener, B Goldfain, P Drews, JM Rehg, B Boots, ...
30th Conference on Neural Information Processing Systems, 2016
72016
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