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ORCIDKyungjae Lee 0001
Person information
- affiliation: Korea University, Department of Statistics, Seoul, Korea
- affiliation (PhD 2020): Seoul National University, Department of Electrical and Computer Engineering and ASRI, Korea
Other persons with the same name
- Kyungjae Lee (aka: Kyung Jae Lee) — disambiguation page
- Kyungjae Lee 0002
![[0000-0003-0586-3748]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0586-3748")
— LG AI Research (and 1 more) - Kyungjae Lee 0003 — Yong In University, Department of Computer Science, Yongin, South Korea (and 1 more)
- Kyungjae Lee 0004 (aka: Kyung Jae Lee 0004) — Seoul National University, Graduate Program in Technology and Management, Sillim-dong, Gwanak-gu, Seoul, Korea (and 1 more)
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2020 – today
- 2025
[j9]Junho Kim, Eunwoo Kim, Kyungjae Lee:
GODiff: Region-Specific Semantic Editing With CLIP-Guided Diffusion Models. IEEE Access 13: 112818-112834 (2025)- [c38]Jiho Lee, Hayun Lee, Jonghyeon Kim, Kyungjae Lee, Eunwoo Kim:
Self-Corrective Task Planning by Inverse Prompting with Large Language Models. ICRA 2025: 11017-11023 - [c37]Hyeonseong Kim, Chanwoo Kim, Matthew K. X. J. Pan, Kyungjae Lee, Sungjoon Choi:
Learning-Based Dynamic Robot-to-Human Handover. ICRA 2025: 16319-16325 - [i19]Hyeonseong Kim, Chanwoo Kim, Matthew K. X. J. Pan, Kyungjae Lee, Sungjoon Choi:
Learning-based Dynamic Robot-to-Human Handover. CoRR abs/2502.12602 (2025) - [i18]Jiho Lee, Hayun Lee, Jonghyeon Kim, Kyungjae Lee, Eunwoo Kim:
Self-Corrective Task Planning by Inverse Prompting with Large Language Models. CoRR abs/2503.07317 (2025) - [i17]Juhan Park, Kyungjae Lee, Hyung Jin Chang, Jungchan Cho:
Foundation Model-Driven Framework for Human-Object Interaction Prediction with Segmentation Mask Integration. CoRR abs/2504.19847 (2025) - [i16]Taehyun Cho, Seokhun Ju, Seungyub Han, Dohyeong Kim, Kyungjae Lee, Jungwoo Lee:
Policy-labeled Preference Learning: Is Preference Enough for RLHF? CoRR abs/2505.06273 (2025) - [i15]Taeheon Lim, Joohyung Lee, Kyungjae Lee, Jungchan Cho:
Mitigating Resolution-Drift in Federated Learning: Case of Keypoint Detection. CoRR abs/2507.23461 (2025) - 2024
- [j8]Hyeon-Jun Park, Kyungjae Lee:
Heavy-Tailed Reinforcement Learning With Penalized Robust Estimator. IEEE Access 12: 107800-107817 (2024) - [j7]Kyungjae Lee, Sungbin Lim:
Minimax Optimal Bandits for Heavy Tail Rewards. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5280-5294 (2024) - [c36]Hyeonjun Park, Kyungjae Lee:
Contextually Adaptive Algorithms for Gaussian Process Bandit Optimization Under Heavy-Tailed Noise. ECAI 2024: 3171-3178 - [c35]Juhan Park, Daejong Jin, Kyungjae Lee:
Placement Aware Grasp Planning for Efficient Sequential Manipulation. ECAI 2024: 4418-4425 - [c34]Joonhyung Lee, Sangbeom Park, Jeongeun Park, Kyungjae Lee, Sungjoon Choi:
SPOTS: Stable Placement of Objects with Reasoning in Semi-Autonomous Teleoperation Systems. ICRA 2024: 17786-17792 - [c33]Dohyeong Kim, Taehyun Cho, Seungyub Han, Hojun Chung, Kyungjae Lee, Songhwai Oh:
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees. NeurIPS 2024 - [i14]Dohyeong Kim, Taehyun Cho, Seungyub Han, Hojun Chung, Kyungjae Lee, Songhwai Oh:
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees. CoRR abs/2405.18698 (2024) - [i13]Taehyun Cho, Seungyub Han, Kyungjae Lee, Seokhun Ju, Dohyeong Kim, Jungwoo Lee:
Tractable and Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation. CoRR abs/2407.21260 (2024) - 2023
- [c32]Daejong Jin, Juhan Park, Kyungjae Lee:
Perturbation-Based Best Arm Identification for Efficient Task Planning with Monte-Carlo Tree Search. ICRA 2023: 5758-5764 - [c31]Taehyun Cho, Seungyub Han, Heesoo Lee, Kyungjae Lee, Jungwoo Lee:
Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion. NeurIPS 2023 - [c30]Minyoung Hwang, Gunmin Lee, Hogun Kee, Chan Woo Kim, Kyungjae Lee, Songhwai Oh:
Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback. NeurIPS 2023 - [c29]Dohyeong Kim, Kyungjae Lee, Songhwai Oh:
Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints. NeurIPS 2023 - [c28]Sungbin Lim, Eun-Bi Yoon, Taehyun Byun, Taewon Kang, Seungwoo Kim, Kyungjae Lee, Sungjoon Choi:
Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces. NeurIPS 2023 - [i12]Dohyeong Kim, Kyungjae Lee, Songhwai Oh:
Efficient Trust Region-Based Safe Reinforcement Learning with Low-Bias Distributional Actor-Critic. CoRR abs/2301.10923 (2023) - [i11]Joonhyung Lee, Sangbeom Park, Jeongeun Park, Kyungjae Lee, Sungjoon Choi:
SPOTS: Stable Placement of Objects with Reasoning in Semi-Autonomous Teleoperation Systems. CoRR abs/2309.13937 (2023) - [i10]Taehyun Cho, Seungyub Han, Heesoo Lee, Kyungjae Lee, Jungwoo Lee:
Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion. CoRR abs/2310.16546 (2023) - 2022
- [j6]Hyunjun Yang, Hyeonjun Park, Kyungjae Lee:
A Selective Portfolio Management Algorithm with Off-Policy Reinforcement Learning Using Dirichlet Distribution. Axioms 11(12): 664 (2022) - [j5]Mineui Hong, Kyungjae Lee, Minjae Kang, Wonsuhk Jung, Songhwai Oh:
Dynamics-Aware Metric Embedding: Metric Learning in a Latent Space for Visual Planning. IEEE Robotics Autom. Lett. 7(2): 3388-3395 (2022) - [c27]Junbum Cha, Kyungjae Lee, Sungrae Park, Sanghyuk Chun:
Domain Generalization by Mutual-Information Regularization with Pre-trained Models. ECCV (23) 2022: 440-457 - [c26]Sangbeom Park, Yoonbyung Chai, Sunghyun Park, Jeongeun Park, Kyungjae Lee, Sungjoon Choi:
Semi-Autonomous Teleoperation via Learning Non-Prehensile Manipulation Skills. ICRA 2022: 9295-9301 - [c25]Kyungjae Lee:
Adaptive Tsallis Entropy Regularization for Efficient Reinforcement Learning. ICTC 2022: 668-673 - [c24]Kyungjae Lee:
Efficient Extreme Motion Planning by Learning from Experience. ICTC 2022: 674-679 - [c23]Dohyeong Kim, Yunho Kim, Kyungjae Lee, Songhwai Oh:
Safety Guided Policy Optimization. IROS 2022: 2462-2467 - [i9]Junbum Cha, Kyungjae Lee, Sungrae Park, Sanghyuk Chun:
Domain Generalization by Mutual-Information Regularization with Pre-trained Models. CoRR abs/2203.10789 (2022) - 2021
- [i8]Sangbeom Park, Yoonbyung Chai, Sunghyun Park, Jeongeun Park, Kyungjae Lee, Sungjoon Choi:
Trajectory-based Reinforcement Learning of Non-prehensile Manipulation Skills for Semi-Autonomous Teleoperation. CoRR abs/2109.13081 (2021) - 2020
- [j4]Jae In Kim, Mineui Hong, Kyungjae Lee, DongWook Kim, Yong-Lae Park, Songhwai Oh:
Learning to Walk a Tripod Mobile Robot Using Nonlinear Soft Vibration Actuators With Entropy Adaptive Reinforcement Learning. IEEE Robotics Autom. Lett. 5(2): 2317-2324 (2020) - [c22]Beomjoon Kim, Kyungjae Lee, Sungbin Lim, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds. AAAI 2020: 9916-9924 - [c21]Sungjoon Choi, Sanghoon Hong, Kyungjae Lee, Sungbin Lim:
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks. CVPR 2020: 3871-3880 - [c20]Yunho Choi, Hogun Kee, Kyungjae Lee, Jaegoo Choy, Junhong Min, Sohee Lee, Songhwai Oh:
Hierarchical 6-DoF Grasping with Approaching Direction Selection. ICRA 2020: 1553-1559 - [c19]Gunmin Lee, Dohyeong Kim, Wooseok Oh, Kyungjae Lee, Songhwai Oh:
MixGAIL: Autonomous Driving Using Demonstrations with Mixed Qualities. IROS 2020: 5425-5430 - [c18]Kyungjae Lee, Jaegu Choy, Yunho Choi, Hogun Kee, Songhwai Oh:
No-Regret Shannon Entropy Regularized Neural Contextual Bandit Online Learning for Robotic Grasping. IROS 2020: 9620-9625 - [c17]Kyungjae Lee, Hongjun Yang, Sungbin Lim, Songhwai Oh:
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards. NeurIPS 2020 - [c16]Kyungjae Lee, Sungyub Kim, Sungbin Lim, Sungjoon Choi, Mineui Hong, Jae In Kim, Yong-Lae Park, Songhwai Oh:
Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots. Robotics: Science and Systems 2020 - [c15]Jaegoo Choy, Kyungjae Lee, Songhwai Oh:
Sparse Actor-Critic: Sparse Tsallis Entropy Regularized Reinforcement Learning in a Continuous Action Space. UR 2020: 68-73 - [c14]Timothy Ha, Kyunghoon Cho, Geonho Cha, Kyungjae Lee, Songhwai Oh:
Vehicle Control with Prediction Model Based Monte-Carlo Tree Search. UR 2020: 303-308 - [c13]Kyungjae Lee, Yunho Choi, Songhwai Oh:
Inverse Optimal Control from Demonstrations with Mixed Qualities. UR 2020: 581-586 - [i7]Kyungjae Lee, Hongjun Yang, Sungbin Lim, Songhwai Oh:
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards. CoRR abs/2010.12866 (2020)
2010 – 2019
- 2019
- [j3]Sungjoon Choi, Kyungjae Lee, Songhwai Oh:
Robust Learning From Demonstrations With Mixed Qualities Using Leveraged Gaussian Processes. IEEE Trans. Robotics 35(3): 564-576 (2019) - [c12]Yunho Choi, Kyungjae Lee, Songhwai Oh:
Distributional Deep Reinforcement Learning with a Mixture of Gaussians. ICRA 2019: 9791-9797 - [c11]Minjae Kang, Kyungjae Lee, Songhwai Oh:
Soft Action Particle Deep Reinforcement Learning for a Continuous Action Space. IROS 2019: 5028-5033 - [i6]Kyungjae Lee, Sungyub Kim, Sungbin Lim, Sungjoon Choi, Songhwai Oh:
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning. CoRR abs/1902.00137 (2019) - 2018
- [j2]Kyungjae Lee, Sungjoon Choi, Songhwai Oh:
Sparse Markov Decision Processes With Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning. IEEE Robotics Autom. Lett. 3(2): 1466-1473 (2018) - [c10]Sungjoon Choi, Kyungjae Lee, Sungbin Lim, Songhwai Oh:
Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Variance Modeling. ICRA 2018: 6915-6922 - [c9]Sungjoon Choi, Kyungjae Lee, Hyungju Andy Park, Songhwai Oh:
A Nonparametric Motion Flow Model for Human Robot Cooperation. ICRA 2018: 7211-7218 - [c8]Kyungjae Lee, Sungjoon Choi, Songhwai Oh:
Maximum Causal Tsallis Entropy Imitation Learning. NeurIPS 2018: 4408-4418 - [i5]Kyungjae Lee, Sungjoon Choi, Songhwai Oh:
Maximum Causal Tsallis Entropy Imitation Learning. CoRR abs/1805.08336 (2018) - 2017
- [j1]Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, Songhwai Oh:
Real-time nonparametric reactive navigation of mobile robots in dynamic environments. Robotics Auton. Syst. 91: 11-24 (2017) - [c7]Sungjoon Choi, Kyungjae Lee, Songhwai Oh:
Scalable robust learning from demonstration with leveraged deep neural networks. IROS 2017: 3926-3931 - [c6]Sungjoon Choi, Kyungjae Lee, Songhwai Oh:
A multi-agent coverage algorithm with connectivity maintenance. MFI 2017: 512-517 - [i4]Sungjoon Choi, Kyungjae Lee, Sungbin Lim, Songhwai Oh:
Uncertainty-Aware Learning from Demonstration using Mixture Density Networks with Sampling-Free Variance Modeling. CoRR abs/1709.02249 (2017) - [i3]Sungjoon Choi, Kyungjae Lee, Hyungju Andy Park, Songhwai Oh:
A Nonparametric Motion Flow Model for Human Robot Cooperation. CoRR abs/1709.03211 (2017) - [i2]Kyungjae Lee, Sungjoon Choi, Songhwai Oh:
Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning. CoRR abs/1709.06293 (2017) - 2016
- [c5]Sungjoon Choi, Kyungjae Lee, Songhwai Oh:
Robust learning from demonstration using leveraged Gaussian processes and sparse-constrained optimization. ICRA 2016: 470-475 - [c4]Sungjoon Choi, Kyungjae Lee, Songhwai Oh:
Gaussian random paths for real-time motion planning. IROS 2016: 1456-1461 - [c3]Sungjoon Choi, Kyungjae Lee, Songhwai Oh:
Robust modeling and prediction in dynamic environments using recurrent flow networks. IROS 2016: 1737-1742 - [c2]Kyungjae Lee, Sungjoon Choi, Songhwai Oh:
Inverse reinforcement learning with leveraged Gaussian processes. IROS 2016: 3907-3912 - [i1]Sungjoon Choi, Kyungjae Lee, Hyungju Andy Park, Songhwai Oh:
Density Matching Reward Learning. CoRR abs/1608.03694 (2016) - 2015
- [c1]Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, Songhwai Oh:
Leveraged non-stationary Gaussian process regression for autonomous robot navigation. ICRA 2015: 473-478
Coauthor Index
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