Keuntaek Lee

According to our database, Keuntaek Lee authored at least 17 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Sample-based Distributional Policy Gradient.

Rahul Singh, Keuntaek Lee, Yongxin Chen

Proceedings of the Learning for Dynamics and Control Conference, 2022

Risk-sensitive MPCs with Deep Distributional Inverse RL for Autonomous Driving.

Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Adaptive Risk Sensitive Model Predictive Control with Stochastic Search.

Ziyi Wang, Oswin So, Keuntaek Lee, Evangelos A. Theodorou

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning.

Keuntaek Lee, Bogdan I. Vlahov, Jason Gibson, James M. Rehg, Evangelos A. Theodorou

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Aggressive Perception-Aware Navigation Using Deep Optical Flow Dynamics and PixelMPC.

Keuntaek Lee, Jason Gibson, Evangelos A. Theodorou

IEEE Robotics Autom. Lett., 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

Adaptive CVaR Optimization for Dynamical Systems with Path Space Stochastic Search.

Ziyi Wang, Oswin So, Keuntaek Lee, Camilo A. Duarte, Evangelos A. Theodorou

CoRR, 2020

2019

Early Failure Detection of Deep End-to-End Control Policy by Reinforcement Learning.

Keuntaek Lee, Kamil Saigol, Evangelos A. Theodorou

Proceedings of the International Conference on Robotics and Automation, 2019

Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies.

Keuntaek Lee, Ziyi Wang, Bogdan I. Vlahov, Harleen K. Brar, Evangelos A. Theodorou

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 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

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Perceptual Attention-based Predictive Control.

Keuntaek Lee, Gabriel Nakajima An, Viacheslav Zakharov, Evangelos A. Theodorou

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Deep Forward-Backward SDEs for Min-max Control.

Ziyi Wang, Keuntaek Lee, Marcus A. Pereira, Ioannis Exarchos, Evangelos A. Theodorou

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Propagating Uncertainty through the tanh Function with Application to Reservoir Computing.

Manan Gandhi, Keuntaek Lee, Yunpeng Pan, Evangelos A. Theodorou

CoRR, 2018

Safe end-to-end imitation learning for model predictive control.

Keuntaek Lee, Kamil Saigol, Evangelos A. Theodorou

CoRR, 2018

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

Proceedings of the Robotics: Science and Systems XIV, 2018

2017

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