| 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 | 558 | 2017 |
| 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 | 411 | 2016 |
| 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 | 234 | 2018 |
| Autorally: An open platform for aggressive autonomous driving B Goldfain, P Drews, C You, M Barulic, O Velev, P Tsiotras, JM Rehg IEEE Control Systems Magazine 39 (1), 26-55, 2019 | 125 | 2019 |
| 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 | 74 | 2017 |
| 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 | 58 | 2018 |
| 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 | 53 | 2019 |
| 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 | 53 | 2018 |
| 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 | 41 | 2017 |
| Autonomous racing with autorally vehicles and differential games G Williams, B Goldfain, P Drews, JM Rehg, EA Theodorou arXiv preprint arXiv:1707.04540, 2017 | 30 | 2017 |
| Autonomous vehicle research system B Goldfain, P Drews, J Rehg, E Theodorou, P Tsiotras, G Williams US Patent 10,296,003, 2019 | 12 | 2019 |
| 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 | 10 | 2019 |
| 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 | 8 | 2020 |
| 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 | 5 | 2016 |
| Autonomous rally racing with AutoRally and model predictive control B Goldfain Georgia Institute of Technology, 2019 | 1 | 2019 |
| 2019 Index IEEE Control Systems Vol. 39 A Ahlen, J Akerberg, K Aljanaideh, E Aranda-Escolastico, M Barulic, ... IEEE Control Systems Magazine 39 (6), 2019 | | 2019 |
James M. RehgFounder Professor of Computer Science, University of Illinois at Urbana-ChampaignVerifierad e-postadress på illinois.edu
