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Kyungjae Lee
Kyungjae Lee
Korea University
Dirección de correo verificada de korea.ac.kr - Página principal
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Citado por
Citado por
Año
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
4492021
Domain generalization by mutual-information regularization with pre-trained models
J Cha, K Lee, S Park, S Chun
European conference on computer vision, 440-457, 2022
1522022
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
1342018
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
762018
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
582020
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
45*2020
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
392016
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
372019
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
372019
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
332020
Neural markov controlled SDE: Stochastic optimization for continuous-time data
SW Park, K Lee, J Kwon
International Conference on Learning Representations, 2021
312021
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
292020
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
292017
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
232020
Maximum causal tsallis entropy imitation learning
K Lee, S Choi, S Oh
Advances in Neural Information Processing Systems 31 (2018), 4403-4413., 2018
232018
Inverse reinforcement learning with leveraged Gaussian processes
K Lee, S Choi, S Oh
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
212016
Trust region-based safe distributional reinforcement learning for multiple constraints
D Kim, K Lee, S Oh
Advances in neural information processing systems 36, 2024
142024
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
142016
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
142015
Score-based generative modeling through stochastic evolution equations in hilbert spaces
S Lim, EB Yoon, T Byun, T Kang, S Kim, K Lee, S Choi
Advances in Neural Information Processing Systems 36, 2024
112024
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Artículos 1–20