Publications

Journal Publications

Grady Williams, Paul Drews, Brian Goldfain, James Rehg, and Evangelos Theodorou. “Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving.” IEEE Transactions on Robotics (T-RO). Under Review.

Grady Williams, Andrew Aldrich, and Evangelos Theodorou. “Model Predictive Path Integral Control: From Theory to Parallel Computation.” Journal of Guidance, Control, and Dynamics, 2017.

Conference Publications

Paul Drews, Grady Williams, Brian Goldfain, Evangelos Theodorou, and James Rehg. “Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control.” 1st Annual Conference on Robot Learning (CoRL). Under Review

Yichen Wang, Grady Williams, Evangelos Theodorou, and Le Song. “Variational Policy for Guiding Point Processes.” International Conference on Machine Learning (ICML), 2017.

Grady Williams, Nolan Wagener, Brian Goldfain, Paul Drews, James Rehg, Byron Boots, and Evangelos Theodorou. “Information Theoretic MPC for Model-Based Reinforcement Learning.” IEEE International Conference on Robotics and Automation (ICRA). Singapore, 2017. (Best Paper Finalist)

Grady Williams, Paul Drews, Brian Goldfain, James Rehg, and Evangelos Theodorou. “Aggressive Driving with Model Predictive Path Integral Control.” IEEE International Conference on Robotics and Automation (ICRA), 2016.