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Kyungjae Lee
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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
762018
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
392018
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
362016
Swad: Domain generalization by seeking flat minima
J Cha, S Chun, K Lee, HC Cho, S Park, Y Lee, S Park
Advances in Neural Information Processing Systems 34, 22405-22418, 2021
292021
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
222020
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
20*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
182019
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
172017
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
162019
Maximum causal tsallis entropy imitation learning
K Lee, S Choi, S Oh
Advances in Neural Information Processing Systems 31 (2018), 4403-4413., 2018
152018
Inverse reinforcement learning with leveraged gaussian processes
K Lee, S Choi, S Oh
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
152016
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
132015
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
92020
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
82020
Density matching reward learning
S Choi, K Lee, A Park, S Oh
arXiv preprint arXiv:1608.03694, 2016
82016
Optimal algorithms for stochastic multi-armed bandits with heavy tailed rewards
K Lee, H Yang, S Lim, S Oh
Advances in Neural Information Processing Systems 33, 8452-8462, 2020
72020
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
72016
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
62020
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
Hierarchical 6-dof grasping with approaching direction selection
Y Choi, H Kee, K Lee, JG Choy, J Min, S Lee, S Oh
2020 IEEE International Conference on Robotics and Automation (ICRA), 1553-1559, 2020
32020
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