Agile autonomous driving using end-to-end deep imitation learning Y Pan, CA Cheng, K Saigol, K Lee, X Yan, E Theodorou, B Boots Robotics: Science and Systems, 2017 | 358 | 2017 |
Imitation learning for agile autonomous driving Y Pan, CA Cheng, K Saigol, K Lee, X Yan, EA Theodorou, B Boots The International Journal of Robotics Research 39 (2-3), 286-302, 2020 | 156 | 2020 |
Aggressive Perception-Aware Navigation using Deep Optical Flow Dynamics and PixelMPC K Lee, J Gibson, EA Theodorou IEEE Robotics and Automation Letters, 2020 | 39 | 2020 |
Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies K Lee, Z Wang, BI Vlahov, HK Brar, EA Theodorou The 18th IEEE International Conference on Machine Learning and Applications …, 2018 | 38 | 2018 |
Perceptual Attention-based Predictive Control K Lee, GN An, V Zakharov, EA Theodorou Conference on Robot Learning, 220-232, 2019 | 21 | 2019 |
Safe end-to-end imitation learning for model predictive control K Lee, K Saigol, EA Theodorou arXiv preprint arXiv:1803.10231, 2018 | 21 | 2018 |
Deep Forward-Backward SDEs for Min-max Control Z Wang, K Lee, MA Pereira, I Exarchos, EA Theodorou The 58th IEEE Conference on Decision and Control (CDC), 2019., 2019 | 20 | 2019 |
Spatiotemporal costmap inference for MPC via deep inverse reinforcement learning K Lee, D Isele, EA Theodorou, S Bae IEEE Robotics and Automation Letters 7 (2), 3194-3201, 2022 | 19 | 2022 |
Sample-based distributional policy gradient R Singh, K Lee, Y Chen Learning for Dynamics and Control, 2020 | 17 | 2020 |
Approximate inverse reinforcement learning from vision-based imitation learning K Lee, B Vlahov, J Gibson, JM Rehg, EA Theodorou 2021 IEEE International Conference on Robotics and Automation (ICRA), 10793 …, 2021 | 15 | 2021 |
Adaptive risk sensitive model predictive control with stochastic search Z Wang, O So, K Lee, EA Theodorou Learning for Dynamics and Control, 510-522, 2021 | 12 | 2021 |
Learning deep neural network control policies for agile off-road autonomous driving Y Pan, CA Cheng, K Saigol, K Lee, X Yan, E Theodorou, B Boots The NIPS Deep Rienforcement Learning Symposium 134, 2017 | 10 | 2017 |
Early failure detection of deep end-to-end control policy by reinforcement learning K Lee, K Saigol, EA Theodorou 2019 International Conference on Robotics and Automation (ICRA), 8543-8549, 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 |
Agile autonomous driving using end-to-end deep imitation learning. arXiv 2017 Y Pan, CA Cheng, K Saigol, K Lee, X Yan, E Theodorou, B Boots arXiv preprint arXiv:1709.07174, 2017 | 8 | 2017 |
Adaptive cvar optimization for dynamical systems with path space stochastic search Z Wang, O So, K Lee, CA Duarte, EA Theodorou arXiv preprint arXiv:2009.01090, 2020 | 3 | 2020 |
Risk-sensitive MPCs with deep distributional inverse RL for autonomous driving K Lee, D Isele, EA Theodorou, S Bae 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 1 | 2022 |
Propagating uncertainty through the tanh function with application to reservoir computing M Gandhi, K Lee, Y Pan, E Theodorou arXiv preprint arXiv:1806.09431, 2018 | 1 | 2018 |
Robust Deep Vision-based Planning and Control Algorithms with Probabilistic Learning K Lee Georgia Institute of Technology, 2022 | | 2022 |
Safe Imitation Learning for End-to-End Control K Lee, K Saigol, EA Theodorou Proceedings of Robotics: Science and Systems Workshop: Adversarial Robotics, 2018 | | 2018 |