Brian Goldfain

Publication Activity (10 Years)

Years Active: 2016-2019
Publications (10 Years): 14

Top Topics

Online Learning

Information Theoretic

Autonomous Driving

Convolutional Neural Networks

Top Venues

IEEE Trans. Robotics

Publications

Grady R. Williams, Brian Goldfain, Keuntaek Lee, Jason Gibson, James M. Rehg, Evangelos A. Theodorou
Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control. CoRL (2019)
Grady Williams, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics. CoRR (2019)
Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg
Vision-Based High-Speed Driving With a Deep Dynamic Observer. IEEE Robotics Autom. Lett. 4 (2) (2019)
Grady Williams, Brian Goldfain, Paul Drews, James M. Rehg, Evangelos A. Theodorou
Best Response Model Predictive Control for Agile Interactions Between Autonomous Ground Vehicles. ICRA (2018)
Grady Williams, Brian Goldfain, Paul Drews, Kamil Saigol, James M. Rehg, Evangelos A. Theodorou
Robust Sampling Based Model Predictive Control with Sparse Objective Information. Robotics: Science and Systems (2018)
Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg
Vision-Based High Speed Driving with a Deep Dynamic Observer. CoRR (2018)
Brian Goldfain, Paul Drews, Changxi You, Matthew Barulic, Orlin Velev, Panagiotis Tsiotras, James M. Rehg
AutoRally An open platform for aggressive autonomous driving. CoRR (2018)
Grady Williams, Paul Drews, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou
Information-Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving. IEEE Trans. Robotics 34 (6) (2018)
Grady Williams, Brian Goldfain, Paul Drews, James M. Rehg, Evangelos A. Theodorou
Autonomous Racing with AutoRally Vehicles and Differential Games. CoRR (2017)
Grady Williams, Paul Drews, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving. CoRR (2017)
Grady Williams, Nolan Wagener, Brian Goldfain, Paul Drews, James M. Rehg, Byron Boots, Evangelos A. Theodorou
Information theoretic MPC for model-based reinforcement learning. ICRA (2017)
Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg
Aggressive Deep Driving: Model Predictive Control with a CNN Cost Model. CoRR (2017)
Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg
Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control. CoRL (2017)
Grady Williams, Paul Drews, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou
Aggressive driving with model predictive path integral control. ICRA (2016)