Leveraged non-stationary Gaussian process regression for autonomous robot navigation. - Sungjoon Choi; Eunwoo Kim; Kyungjae Lee 001; Songhwai Oh (ICRA, 2015)

Robust learning from demonstration using leveraged Gaussian processes and sparse-constrained optimization. - Sungjoon Choi; Kyungjae Lee 001; Songhwai Oh (ICRA, 2016)

Gaussian random paths for real-time motion planning. - Sungjoon Choi; Kyungjae Lee 001; Songhwai Oh (IROS, 2016)

Robust modeling and prediction in dynamic environments using recurrent flow networks. - Sungjoon Choi; Kyungjae Lee 001; Songhwai Oh (IROS, 2016)

Inverse reinforcement learning with leveraged Gaussian processes. - Kyungjae Lee 001; Sungjoon Choi; Songhwai Oh (IROS, 2016)

Density Matching Reward Learning. - Sungjoon Choi; Kyungjae Lee 001; Hyungju Andy Park; Songhwai Oh (CoRR, 2016)

Scalable robust learning from demonstration with leveraged deep neural networks. - Sungjoon Choi; Kyungjae Lee 001; Songhwai Oh (IROS, 2017)

A multi-agent coverage algorithm with connectivity maintenance. - Sungjoon Choi; Kyungjae Lee 001; Songhwai Oh (MFI, 2017)

Real-time nonparametric reactive navigation of mobile robots in dynamic environments. - Sungjoon Choi; Eunwoo Kim; Kyungjae Lee 001; Songhwai Oh (Robotics Auton. Syst., 2017)

Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Variance Modeling. - Sungjoon Choi; Kyungjae Lee 001; Sungbin Lim; Songhwai Oh (ICRA, 2018)

A Nonparametric Motion Flow Model for Human Robot Cooperation. - Sungjoon Choi; Kyungjae Lee 001; Hyungju Andy Park; Songhwai Oh (ICRA, 2018)

Maximum Causal Tsallis Entropy Imitation Learning. - Kyungjae Lee 001; Sungjoon Choi; Songhwai Oh (NeurIPS, 2018)

Sparse Markov Decision Processes With Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning. - Kyungjae Lee 001; Sungjoon Choi; Songhwai Oh (IEEE Robotics Autom. Lett., 2018)

Distributional Deep Reinforcement Learning with a Mixture of Gaussians. - Yunho Choi; Kyungjae Lee 001; Songhwai Oh (ICRA, 2019)

Soft Action Particle Deep Reinforcement Learning for a Continuous Action Space. - Minjae Kang 002; Kyungjae Lee 001; Songhwai Oh (IROS, 2019)

Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning. - Kyungjae Lee 001; Sungyub Kim; Sungbin Lim; Sungjoon Choi; Songhwai Oh (CoRR, 2019)

Robust Learning From Demonstrations With Mixed Qualities Using Leveraged Gaussian Processes. - Sungjoon Choi; Kyungjae Lee 001; Songhwai Oh (IEEE Trans. Robotics, 2019)

Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds. - Beomjoon Kim; Kyungjae Lee 001; Sungbin Lim; Leslie Pack Kaelbling; Tomás Lozano-Pérez (AAAI, 2020)

Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks. - Sungjoon Choi; Sanghoon Hong; Kyungjae Lee 001; Sungbin Lim (CVPR, 2020)

Hierarchical 6-DoF Grasping with Approaching Direction Selection. - Yunho Choi; Hogun Kee; Kyungjae Lee 001; Jaegoo Choy; Junhong Min; Sohee Lee; Songhwai Oh (ICRA, 2020)

No-Regret Shannon Entropy Regularized Neural Contextual Bandit Online Learning for Robotic Grasping. - Kyungjae Lee 001; Jaegu Choy; Yunho Choi; Hogun Kee; Songhwai Oh (IROS, 2020)

MixGAIL: Autonomous Driving Using Demonstrations with Mixed Qualities. - Gunmin Lee; Dohyeong Kim; Wooseok Oh; Kyungjae Lee 001; Songhwai Oh (IROS, 2020)

Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards. - Kyungjae Lee 001; Hongjun Yang; Sungbin Lim; Songhwai Oh (NeurIPS, 2020)

Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots. - Kyungjae Lee 001; Sungyub Kim; Sungbin Lim; Sungjoon Choi; Mineui Hong; Jae In Kim; Yong-Lae Park; Songhwai Oh (Robotics: Science and Systems, 2020)

Sparse Actor-Critic: Sparse Tsallis Entropy Regularized Reinforcement Learning in a Continuous Action Space. - Jaegoo Choy; Kyungjae Lee 001; Songhwai Oh (UR, 2020)

Vehicle Control with Prediction Model Based Monte-Carlo Tree Search. - Timothy Ha; Kyunghoon Cho; Geonho Cha; Kyungjae Lee 001; Songhwai Oh (UR, 2020)

Inverse Optimal Control from Demonstrations with Mixed Qualities. - Kyungjae Lee 001; Yunho Choi; Songhwai Oh (UR, 2020)

Learning to Walk a Tripod Mobile Robot Using Nonlinear Soft Vibration Actuators With Entropy Adaptive Reinforcement Learning. - Jae In Kim; Mineui Hong; Kyungjae Lee 001; DongWook Kim; Yong-Lae Park; Songhwai Oh (IEEE Robotics Autom. Lett., 2020)

Trajectory-based Reinforcement Learning of Non-prehensile Manipulation Skills for Semi-Autonomous Teleoperation. - Sangbeom Park; Yoonbyung Chai; Sunghyun Park; Jeongeun Park 002; Kyungjae Lee 001; Sungjoon Choi (CoRR, 2021)

Domain Generalization by Mutual-Information Regularization with Pre-trained Models. - Junbum Cha; Kyungjae Lee 001; Sungrae Park; Sanghyuk Chun (ECCV (23), 2022)

Semi-Autonomous Teleoperation via Learning Non-Prehensile Manipulation Skills. - Sangbeom Park; Yoonbyung Chai; Sunghyun Park; Jeongeun Park 002; Kyungjae Lee 001; Sungjoon Choi (ICRA, 2022)

Adaptive Tsallis Entropy Regularization for Efficient Reinforcement Learning. - Kyungjae Lee 001 (ICTC, 2022)

Efficient Extreme Motion Planning by Learning from Experience. - Kyungjae Lee 001 (ICTC, 2022)

Safety Guided Policy Optimization. - Dohyeong Kim; Yunho Kim; Kyungjae Lee 001; Songhwai Oh (IROS, 2022)

A Selective Portfolio Management Algorithm with Off-Policy Reinforcement Learning Using Dirichlet Distribution. - Hyunjun Yang; Hyeonjun Park 001; Kyungjae Lee 001 (Axioms, 2022)

Dynamics-Aware Metric Embedding: Metric Learning in a Latent Space for Visual Planning. - Mineui Hong; Kyungjae Lee 001; Minjae Kang 002; Wonsuhk Jung; Songhwai Oh (IEEE Robotics Autom. Lett., 2022)

Perturbation-Based Best Arm Identification for Efficient Task Planning with Monte-Carlo Tree Search. - Daejong Jin; Juhan Park; Kyungjae Lee 001 (ICRA, 2023)

Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion. - Taehyun Cho; Seungyub Han; Heesoo Lee; Kyungjae Lee 001; Jungwoo Lee 001 (NeurIPS, 2023)

Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback. - Minyoung Hwang; Gunmin Lee; Hogun Kee; Chan Woo Kim; Kyungjae Lee 001; Songhwai Oh (NeurIPS, 2023)

Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints. - Dohyeong Kim; Kyungjae Lee 001; Songhwai Oh (NeurIPS, 2023)

Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces. - Sungbin Lim; Eun-Bi Yoon; Taehyun Byun; Taewon Kang; Seungwoo Kim; Kyungjae Lee 001; Sungjoon Choi (NeurIPS, 2023)

Efficient Trust Region-Based Safe Reinforcement Learning with Low-Bias Distributional Actor-Critic. - Dohyeong Kim; Kyungjae Lee 001; Songhwai Oh (CoRR, 2023)

Placement Aware Grasp Planning for Efficient Sequential Manipulation. - Juhan Park; Daejong Jin; Kyungjae Lee 001 (ECAI, 2024)

Contextually Adaptive Algorithms for Gaussian Process Bandit Optimization Under Heavy-Tailed Noise. - Hyeonjun Park 001; Kyungjae Lee 001 (ECAI, 2024)

SPOTS: Stable Placement of Objects with Reasoning in Semi-Autonomous Teleoperation Systems. - Joonhyung Lee; Sangbeom Park; Jeongeun Park 002; Kyungjae Lee 001; Sungjoon Choi (ICRA, 2024)

Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees. - Dohyeong Kim; Taehyun Cho; Seungyub Han; Hojun Chung; Kyungjae Lee 001; Songhwai Oh (NeurIPS, 2024)

Heavy-Tailed Reinforcement Learning With Penalized Robust Estimator. - Hyeon-Jun Park 001; Kyungjae Lee 001 (IEEE Access, 2024)

Tractable and Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation. - Taehyun Cho; Seungyub Han; Kyungjae Lee 001; Seokhun Ju; Dohyeong Kim; Jungwoo Lee 001 (CoRR, 2024)

Minimax Optimal Bandits for Heavy Tail Rewards. - Kyungjae Lee 001; Sungbin Lim (IEEE Trans. Neural Networks Learn. Syst., 2024)

GODiff: Region-Specific Semantic Editing With CLIP-Guided Diffusion Models. - Junho Kim; Eunwoo Kim; Kyungjae Lee 001 (IEEE Access, 2025)

Policy-labeled Preference Learning: Is Preference Enough for RLHF? - Taehyun Cho; Seokhun Ju; Seungyub Han; Dohyeong Kim; Kyungjae Lee 001; Jungwoo Lee 001 (CoRR, 2025)