Kyungjae Lee
Title
Cited by
Cited by
Year
Uncertainty-aware learning from demonstration using mixture density networks with sampling-free variance modeling
S Choi, K Lee, S Lim, S Oh
2018 IEEE International Conference on Robotics and Automation (ICRA), 6915-6922, 2018
462018
Robust learning from demonstration using leveraged Gaussian processes and sparse-constrained optimization
S Choi, K Lee, S Oh
2016 IEEE International Conference on Robotics and Automation (ICRA), 470-475, 2016
312016
Sparse markov decision processes with causal sparse tsallis entropy regularization for reinforcement learning
K Lee, S Choi, S Oh
IEEE Robotics and Automation Letters 3 (3), 1466-1473, 2018
272018
Real-time nonparametric reactive navigation of mobile robots in dynamic environments
S Choi, E Kim, K Lee, S Oh
Robotics and Autonomous Systems 91, 11-24, 2017
132017
Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots
K Lee, S Kim, S Lim, S Choi, M Hong, J Kim, YL Park, S Oh
Robotics: Science and Systems Foundation, 2020
12*2020
Robust learning from demonstrations with mixed qualities using leveraged gaussian processes
S Choi, K Lee, S Oh
IEEE Transactions on Robotics 35 (3), 564-576, 2019
92019
Maximum causal tsallis entropy imitation learning
K Lee, S Choi, S Oh
arXiv preprint arXiv:1805.08336, 2018
92018
Inverse reinforcement learning with leveraged gaussian processes
K Lee, S Choi, S Oh
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
92016
Leveraged non-stationary Gaussian process regression for autonomous robot navigation
S Choi, E Kim, K Lee, S Oh
2015 IEEE International Conference on Robotics and Automation (ICRA), 473-478, 2015
92015
Monte Carlo tree search in continuous spaces using Voronoi optimistic optimization with regret bounds
B Kim, K Lee, S Lim, L Kaelbling, T Lozano-Pérez
Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 9916-9924, 2020
82020
Density matching reward learning
S Choi, K Lee, A Park, S Oh
arXiv preprint arXiv:1608.03694, 2016
72016
Distributional deep reinforcement learning with a mixture of gaussians
Y Choi, K Lee, S Oh
2019 International Conference on Robotics and Automation (ICRA), 9791-9797, 2019
62019
Learning to Walk a Tripod Mobile Robot Using Nonlinear Soft Vibration Actuators With Entropy Adaptive Reinforcement Learning
JI Kim, M Hong, K Lee, DW Kim, YL Park, S Oh
IEEE Robotics and Automation Letters 5 (2), 2317-2324, 2020
52020
Robust modeling and prediction in dynamic environments using recurrent flow networks
S Choi, K Lee, S Oh
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
52016
Gaussian random paths for real-time motion planning
S Choi, K Lee, S Oh
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
42016
Inverse optimal control from demonstrations with mixed qualities
K Lee, Y Choi, S Oh
2020 17th International Conference on Ubiquitous Robots (UR), 581-586, 2020
12020
MixGAIL: Autonomous Driving Using Demonstrations with Mixed Qualities
G Lee, D Kim, W Oh, K Lee, S Oh
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
12020
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks
S Choi, S Hong, K Lee, S Lim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
12020
Soft Action Particle Deep Reinforcement Learning for a Continuous Action Space
M Kang, K Lee, S Oh
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
12019
Scalable robust learning from demonstration with leveraged deep neural networks
S Choi, K Lee, S Oh
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
12017
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