| 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 | 598 | 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 | 451 | 2016 |
| 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 | 295 | 2017 |
| 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 | 256 | 2018 |
| Model predictive path integral control using covariance variable importance sampling G Williams, A Aldrich, E Theodorou arXiv preprint arXiv:1509.01149, 2015 | 141 | 2015 |
| 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 | 75 | 2017 |
| 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 | 59 | 2019 |
| 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 | 59 | 2018 |
| 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 | 55 | 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 | 45 | 2017 |
| 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 | 43 | 2021 |
| Variational policy for guiding point processes Y Wang, G Williams, E Theodorou, L Song International Conference on Machine Learning, 3684-3693, 2017 | 31 | 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 | 31 | 2017 |
| Gpu based path integral control with learned dynamics G Williams, E Rombokas, T Daniel arXiv preprint arXiv:1503.00330, 2015 | 13 | 2015 |
| Autonomous vehicle research system B Goldfain, P Drews, J Rehg, E Theodorou, P Tsiotras, G Williams US Patent 10,296,003, 2019 | 12 | 2019 |
| Information theoretic model predictive control on jump diffusion processes Z Wang, G Williams, EA Theodorou 2019 American Control Conference (ACC), 1663-1670, 2019 | 11 | 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 | 11 | 2019 |
| Model predictive path integral control: Theoretical foundations and applications to autonomous driving GR Williams Georgia Institute of Technology, 2019 | 9 | 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 | 7 | 2016 |
Evangelos TheodorouGeorgia Institute of Technology & Amazon SEAS在 ae.gatech.edu 的电子邮件经过验证
