![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Kyungjae Lee 0001
Person information
- affiliation: 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
— LG AI Research (and 1 more)
- Kyungjae Lee 0003
— Yong In University, Department of Computer Science, Yongin, South Korea (and 1 more)
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j7]Kyungjae Lee
, Sungbin Lim
:
Minimax Optimal Bandits for Heavy Tail Rewards. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5280-5294 (2024) - [i13]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) - 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
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-11 01:04 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint