Agile Off-Road Autonomous Driving Using End-to-End Deep Imitation Learning. - Yunpeng Pan; Ching-An Cheng; Kamil Saigol; Keuntaek Lee; Xinyan Yan; Evangelos A. Theodorou; Byron Boots (CoRR, 2017)

Agile Autonomous Driving using End-to-End Deep Imitation Learning. - Yunpeng Pan; Ching-An Cheng; Kamil Saigol; Keuntaek Lee; Xinyan Yan; Evangelos A. Theodorou; Byron Boots (Robotics: Science and Systems, 2018)

Safe end-to-end imitation learning for model predictive control. - Keuntaek Lee; Kamil Saigol; Evangelos A. Theodorou (CoRR, 2018)

Propagating Uncertainty through the tanh Function with Application to Reservoir Computing. - Manan Gandhi; Keuntaek Lee; Yunpeng Pan; Evangelos A. Theodorou (CoRR, 2018)

Deep Forward-Backward SDEs for Min-max Control. - Ziyi Wang 001; Keuntaek Lee; Marcus A. Pereira; Ioannis Exarchos; Evangelos A. Theodorou (CDC, 2019)

Perceptual Attention-based Predictive Control. - Keuntaek Lee; Gabriel Nakajima An; Viacheslav Zakharov; Evangelos A. Theodorou (CoRL, 2019)

Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control. - Grady R. Williams; Brian Goldfain; Keuntaek Lee; Jason Gibson; James M. Rehg; Evangelos A. Theodorou (CoRL, 2019)

Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies. - Keuntaek Lee; Ziyi Wang 001; Bogdan I. Vlahov; Harleen K. Brar; Evangelos A. Theodorou (ICMLA, 2019)

Early Failure Detection of Deep End-to-End Control Policy by Reinforcement Learning. - Keuntaek Lee; Kamil Saigol; Evangelos A. Theodorou (ICRA, 2019)

Adaptive CVaR Optimization for Dynamical Systems with Path Space Stochastic Search. - Ziyi Wang 001; Oswin So; Keuntaek Lee; Camilo A. Duarte; Evangelos A. Theodorou (CoRR, 2020)

Imitation learning for agile autonomous driving. - Yunpeng Pan; Ching-An Cheng; Kamil Saigol; Keuntaek Lee; Xinyan Yan; Evangelos A. Theodorou; Byron Boots (Int. J. Robotics Res., 2020)

Aggressive Perception-Aware Navigation Using Deep Optical Flow Dynamics and PixelMPC. - Keuntaek Lee; Jason Gibson; Evangelos A. Theodorou (IEEE Robotics Autom. Lett., 2020)

Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning. - Keuntaek Lee; Bogdan I. Vlahov; Jason Gibson; James M. Rehg; Evangelos A. Theodorou (ICRA, 2021)

Adaptive Risk Sensitive Model Predictive Control with Stochastic Search. - Ziyi Wang 001; Oswin So; Keuntaek Lee; Evangelos A. Theodorou (L4DC, 2021)

Risk-sensitive MPCs with Deep Distributional Inverse RL for Autonomous Driving. - Keuntaek Lee; David Isele; Evangelos A. Theodorou; Sangjae Bae (IROS, 2022)

Sample-based Distributional Policy Gradient. - Rahul Singh 002; Keuntaek Lee; Yongxin Chen (L4DC, 2022)

Spatiotemporal Costmap Inference for MPC Via Deep Inverse Reinforcement Learning. - Keuntaek Lee; David Isele; Evangelos A. Theodorou; Sangjae Bae (IEEE Robotics Autom. Lett., 2022)

Robust Deep Vision-based Planning and Control Algorithms with Probabilistic Learning. - Keuntaek Lee (2022)