Kyungjae Lee - RankMe

73 papers A* 22A 10Journal 32Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SafeIL: Safety constrained imitation learning for autonomous systems. Robotics Auton. Syst. Gunmin Lee, Jaeseok Heo, Dohyeong Kim, Geunje Cheon, Jeongwoo Oh, Minyoung Hwang, Chanwoo Park, Kyungjae Lee, Songhwai Oh
2025	A*	`conf`	Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation. ICML Taehyun Cho, Seungyub Han, Seokhun Ju, Dohyeong Kim, Kyungjae Lee, Jungwoo Lee
2025	—	`conf`	CoRe: A Hybrid Approach of Contact-Aware Optimization and Learning for Humanoid Robot Motions. Humanoids Taemoon Jeong, Yoonbyung Chai, Sol Choi, Jaewan Bak, Chanwoo Kim, Jihwan Yoon, Yisoo Lee, Jongwon Lee, Kyungjae Lee, Joohyung Kim, Sungjoon Choi
2025	J	`jnl`	Foundation Model-Driven Framework for Human-Object Interaction Prediction with Segmentation Mask Integration. CoRR Juhan Park, Kyungjae Lee, Hyung Jin Chang, Jungchan Cho
2025	J	`jnl`	GODiff: Region-Specific Semantic Editing With CLIP-Guided Diffusion Models. IEEE Access Junho Kim, Eunwoo Kim, Kyungjae Lee
2025	J	`jnl`	Hierarchical Vision Language Action Model Using Success and Failure Demonstrations. CoRR Jeongeun Park, Jihwan Yoon, Byungwoo Jeon, Juhan Park, Jinwoo Shin, Namhoon Cho, Kyungjae Lee, Sangdoo Yun, Sungjoon Choi
2025	J	`jnl`	Learning Generalizable Visuomotor Policy through Dynamics-Alignment. CoRR Dohyeok Lee, Jung Min Lee, Munkyung Kim, Seokhun Ju, Jin Woo Koo, Kyungjae Lee, Dohyeong Kim, Taehyun Cho, Jungwoo Lee
2025	J	`jnl`	Learning Social Navigation from Positive and Negative Demonstrations and Rule-Based Specifications. CoRR Chanwoo Kim, Jihwan Yoon, Hyeonseong Kim, Taemoon Jeong, Changwoo Yoo, Seungbeen Lee, Soohwan Byeon, Hoon Chung, Matthew Pan, Jean Oh, Kyungjae Lee, Sungjoon Choi
2025	A*	`conf`	Learning-Based Dynamic Robot-to-Human Handover. ICRA Hyeonseong Kim, Chanwoo Kim, Matthew K. X. J. Pan, Kyungjae Lee, Sungjoon Choi
2025	J	`jnl`	Learning-based Dynamic Robot-to-Human Handover. CoRR Hyeonseong Kim, Chanwoo Kim, Matthew K. X. J. Pan, Kyungjae Lee, Sungjoon Choi
2025	J	`jnl`	Mitigating Resolution-Drift in Federated Learning: Case of Keypoint Detection. CoRR Taeheon Lim, Joohyung Lee, Kyungjae Lee, Jungchan Cho
2025	A*	`conf`	Policy-labeled Preference Learning: Is Preference Enough for RLHF? ICML Taehyun Cho, Seokhun Ju, Seungyub Han, Dohyeong Kim, Kyungjae Lee, Jungwoo Lee
2025	J	`jnl`	Policy-labeled Preference Learning: Is Preference Enough for RLHF? CoRR Taehyun Cho, Seokhun Ju, Seungyub Han, Dohyeong Kim, Kyungjae Lee, Jungwoo Lee
2025	A*	`conf`	Self-Corrective Task Planning by Inverse Prompting with Large Language Models. ICRA Jiho Lee, Hayun Lee, Jonghyeon Kim, Kyungjae Lee, Eunwoo Kim
2025	J	`jnl`	Self-Corrective Task Planning by Inverse Prompting with Large Language Models. CoRR Jiho Lee, Hayun Lee, Jonghyeon Kim, Kyungjae Lee, Eunwoo Kim
2024	A	`conf`	Contextually Adaptive Algorithms for Gaussian Process Bandit Optimization Under Heavy-Tailed Noise. ECAI Hyeonjun Park, Kyungjae Lee
2024	J	`jnl`	Heavy-Tailed Reinforcement Learning With Penalized Robust Estimator. IEEE Access Hyeon-Jun Park, Kyungjae Lee
2024	J	`jnl`	Minimax Optimal Bandits for Heavy Tail Rewards. IEEE Trans. Neural Networks Learn. Syst. Kyungjae Lee, Sungbin Lim
2024	A	`conf`	Placement Aware Grasp Planning for Efficient Sequential Manipulation. ECAI Juhan Park, Daejong Jin, Kyungjae Lee
2024	A*	`conf`	SPOTS: Stable Placement of Objects with Reasoning in Semi-Autonomous Teleoperation Systems. ICRA Joonhyung Lee, Sangbeom Park, Jeongeun Park, Kyungjae Lee, Sungjoon Choi
2024	A*	`conf`	Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees. NeurIPS Dohyeong Kim, Taehyun Cho, Seungyub Han, Hojun Chung, Kyungjae Lee, Songhwai Oh
2024	J	`jnl`	Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees. CoRR Dohyeong Kim, Taehyun Cho, Seungyub Han, Hojun Chung, Kyungjae Lee, Songhwai Oh
2024	J	`jnl`	Tractable and Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation. CoRR Taehyun Cho, Seungyub Han, Kyungjae Lee, Seokhun Ju, Dohyeong Kim, Jungwoo Lee
2023	J	`jnl`	Efficient Trust Region-Based Safe Reinforcement Learning with Low-Bias Distributional Actor-Critic. CoRR Dohyeong Kim, Kyungjae Lee, Songhwai Oh
2023	A*	`conf`	Perturbation-Based Best Arm Identification for Efficient Task Planning with Monte-Carlo Tree Search. ICRA Daejong Jin, Juhan Park, Kyungjae Lee
2023	A*	`conf`	Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion. NeurIPS Taehyun Cho, Seungyub Han, Heesoo Lee, Kyungjae Lee, Jungwoo Lee
2023	J	`jnl`	Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion. CoRR Taehyun Cho, Seungyub Han, Heesoo Lee, Kyungjae Lee, Jungwoo Lee
2023	J	`jnl`	SPOTS: Stable Placement of Objects with Reasoning in Semi-Autonomous Teleoperation Systems. CoRR Joonhyung Lee, Sangbeom Park, Jeongeun Park, Kyungjae Lee, Sungjoon Choi
2023	A*	`conf`	Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces. NeurIPS Sungbin Lim, Eun-Bi Yoon, Taehyun Byun, Taewon Kang, Seungwoo Kim, Kyungjae Lee, Sungjoon Choi
2023	A*	`conf`	Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback. NeurIPS Minyoung Hwang, Gunmin Lee, Hogun Kee, Chanwoo Kim, Kyungjae Lee, Songhwai Oh
2023	A*	`conf`	Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints. NeurIPS Dohyeong Kim, Kyungjae Lee, Songhwai Oh
2022	J	`jnl`	A Selective Portfolio Management Algorithm with Off-Policy Reinforcement Learning Using Dirichlet Distribution. Axioms Hyunjun Yang, Hyeonjun Park, Kyungjae Lee
2022	—	`conf`	Adaptive Tsallis Entropy Regularization for Efficient Reinforcement Learning. ICTC Kyungjae Lee
2022	—	`conf`	Domain Generalization by Mutual-Information Regularization with Pre-trained Models. ECCV (23) Junbum Cha, Kyungjae Lee, Sungrae Park, Sanghyuk Chun
2022	J	`jnl`	Domain Generalization by Mutual-Information Regularization with Pre-trained Models. CoRR Junbum Cha, Kyungjae Lee, Sungrae Park, Sanghyuk Chun
2022	J	`jnl`	Dynamics-Aware Metric Embedding: Metric Learning in a Latent Space for Visual Planning. IEEE Robotics Autom. Lett. Mineui Hong, Kyungjae Lee, Minjae Kang, Wonsuhk Jung, Songhwai Oh
2022	—	`conf`	Efficient Extreme Motion Planning by Learning from Experience. ICTC Kyungjae Lee
2022	A	`conf`	Safety Guided Policy Optimization. IROS Dohyeong Kim, Yunho Kim, Kyungjae Lee, Songhwai Oh
2022	A*	`conf`	Semi-Autonomous Teleoperation via Learning Non-Prehensile Manipulation Skills. ICRA Sangbeom Park, Yoonbyung Chai, Sunghyun Park, Jeongeun Park, Kyungjae Lee, Sungjoon Choi
2021	J	`jnl`	Trajectory-based Reinforcement Learning of Non-prehensile Manipulation Skills for Semi-Autonomous Teleoperation. CoRR Sangbeom Park, Yoonbyung Chai, Sunghyun Park, Jeongeun Park, Kyungjae Lee, Sungjoon Choi
2020	—	`conf`	Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots. Robotics: Science and Systems Kyungjae Lee, Sungyub Kim, Sungbin Lim, Sungjoon Choi, Mineui Hong, Jae In Kim, Yong-Lae Park, Songhwai Oh
2020	A*	`conf`	Hierarchical 6-DoF Grasping with Approaching Direction Selection. ICRA Yunho Choi, Hogun Kee, Kyungjae Lee, Jaegoo Choy, Junhong Min, Sohee Lee, Songhwai Oh
2020	—	`conf`	Inverse Optimal Control from Demonstrations with Mixed Qualities. UR Kyungjae Lee, Yunho Choi, Songhwai Oh
2020	J	`jnl`	Learning to Walk a Tripod Mobile Robot Using Nonlinear Soft Vibration Actuators With Entropy Adaptive Reinforcement Learning. IEEE Robotics Autom. Lett. Jae In Kim, Mineui Hong, Kyungjae Lee, Dongwook Kim, Yong-Lae Park, Songhwai Oh
2020	A	`conf`	MixGAIL: Autonomous Driving Using Demonstrations with Mixed Qualities. IROS Gunmin Lee, Dohyeong Kim, Wooseok Oh, Kyungjae Lee, Songhwai Oh
2020	A*	`conf`	Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds. AAAI Beomjoon Kim, Kyungjae Lee, Sungbin Lim, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2020	A	`conf`	No-Regret Shannon Entropy Regularized Neural Contextual Bandit Online Learning for Robotic Grasping. IROS Kyungjae Lee, Jaegu Choy, Yunho Choi, Hogun Kee, Songhwai Oh
2020	A*	`conf`	Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards. NeurIPS Kyungjae Lee, Hongjun Yang, Sungbin Lim, Songhwai Oh
2020	J	`jnl`	Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards. CoRR Kyungjae Lee, Hongjun Yang, Sungbin Lim, Songhwai Oh
2020	—	`conf`	Sparse Actor-Critic: Sparse Tsallis Entropy Regularized Reinforcement Learning in a Continuous Action Space. UR Jaegoo Choy, Kyungjae Lee, Songhwai Oh
2020	A*	`conf`	Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks. CVPR Sungjoon Choi, Sanghoon Hong, Kyungjae Lee, Sungbin Lim
2020	—	`conf`	Vehicle Control with Prediction Model Based Monte-Carlo Tree Search. UR Timothy Ha, Kyunghoon Cho, Geonho Cha, Kyungjae Lee, Songhwai Oh
2019	A*	`conf`	Distributional Deep Reinforcement Learning with a Mixture of Gaussians. ICRA Yunho Choi, Kyungjae Lee, Songhwai Oh
2019	J	`jnl`	Robust Learning From Demonstrations With Mixed Qualities Using Leveraged Gaussian Processes. IEEE Trans. Robotics Sungjoon Choi, Kyungjae Lee, Songhwai Oh
2019	A	`conf`	Soft Action Particle Deep Reinforcement Learning for a Continuous Action Space. IROS Minjae Kang, Kyungjae Lee, Songhwai Oh
2019	J	`jnl`	Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning. CoRR Kyungjae Lee, Sungyub Kim, Sungbin Lim, Sungjoon Choi, Songhwai Oh
2018	A*	`conf`	A Nonparametric Motion Flow Model for Human Robot Cooperation. ICRA Sungjoon Choi, Kyungjae Lee, Hyungju Andy Park, Songhwai Oh
2018	A*	`conf`	Maximum Causal Tsallis Entropy Imitation Learning. NeurIPS Kyungjae Lee, Sungjoon Choi, Songhwai Oh
2018	J	`jnl`	Maximum Causal Tsallis Entropy Imitation Learning. CoRR Kyungjae Lee, Sungjoon Choi, Songhwai Oh
2018	J	`jnl`	Sparse Markov Decision Processes With Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning. IEEE Robotics Autom. Lett. Kyungjae Lee, Sungjoon Choi, Songhwai Oh
2018	A*	`conf`	Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Variance Modeling. ICRA Sungjoon Choi, Kyungjae Lee, Sungbin Lim, Songhwai Oh
2017	J	`jnl`	A Nonparametric Motion Flow Model for Human Robot Cooperation. CoRR Sungjoon Choi, Kyungjae Lee, Hyungju Andy Park, Songhwai Oh
2017	—	`conf`	A multi-agent coverage algorithm with connectivity maintenance. MFI Sungjoon Choi, Kyungjae Lee, Songhwai Oh
2017	J	`jnl`	Real-time nonparametric reactive navigation of mobile robots in dynamic environments. Robotics Auton. Syst. Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, Songhwai Oh
2017	A	`conf`	Scalable robust learning from demonstration with leveraged deep neural networks. IROS Sungjoon Choi, Kyungjae Lee, Songhwai Oh
2017	J	`jnl`	Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning. CoRR Kyungjae Lee, Sungjoon Choi, Songhwai Oh
2017	J	`jnl`	Uncertainty-Aware Learning from Demonstration using Mixture Density Networks with Sampling-Free Variance Modeling. CoRR Sungjoon Choi, Kyungjae Lee, Sungbin Lim, Songhwai Oh
2016	J	`jnl`	Density Matching Reward Learning. CoRR Sungjoon Choi, Kyungjae Lee, Hyungju Andy Park, Songhwai Oh
2016	A	`conf`	Gaussian random paths for real-time motion planning. IROS Sungjoon Choi, Kyungjae Lee, Songhwai Oh
2016	A	`conf`	Inverse reinforcement learning with leveraged Gaussian processes. IROS Kyungjae Lee, Sungjoon Choi, Songhwai Oh
2016	A*	`conf`	Robust learning from demonstration using leveraged Gaussian processes and sparse-constrained optimization. ICRA Sungjoon Choi, Kyungjae Lee, Songhwai Oh
2016	A	`conf`	Robust modeling and prediction in dynamic environments using recurrent flow networks. IROS Sungjoon Choi, Kyungjae Lee, Songhwai Oh
2015	A*	`conf`	Leveraged non-stationary Gaussian process regression for autonomous robot navigation. ICRA Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, Songhwai Oh