International Journal
Hansol Kim, Youngmo Jeong, Kyoungjae Lee, and Yoonchan Jeong, "Noise robust Zernike phase retrieval via learning based algorithm only with 2-step phase shift measurements," Opt. Express 31, 30248-30266, (2023).
Hyunjun Yang, Hyeonjun Park, and Kyungjae Lee, "A Selective Portfolio Management Algorithm with Off-Policy Reinforcement Learning Using Dirichlet Distribution", Axioms 11, no. 12: 664, 2022.
Kyungjae Lee and Sungbin Lim, "Minimax Optimal Bandits for Heavy Tail Rewards," IEEE Transactions on Neural Networks and Learning Systems, 2022.
Mineui Hong, Kyungjae Lee, Minjae Kang, Wonsuhk Jung, and Songhwai Oh, "Dynamics-Aware Metric Embedding: Metric Learning in a Latent Space for Visual Planning," IEEE Robotics and Automation Letters, IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 3388 - 3395, Apr. 2022.
Jae In Kim, Mineui Hong, Kyungjae Lee, DongWook Kim, Yong-Lae Park, and Songhwai Oh, "Learning to Walk a Tripod Mobile Robot Using Nonlinear Soft Vibration Actuators with Entropy Adaptive Reinforcement Learning," IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 2317-2324, Apr. 2020.
Sungjoon Choi, Kyungjae Lee, and Songhwai Oh, "Robust Learning from Demonstrations with Mixed Qualities Using Leveraged Gaussian Processes," IEEE Transactions on Robotics, vol. 35, no. 3, pp. 564-576, Jun. 2019.
Kyungjae Lee, Sungjoon Choi, and Songhwai Oh, "Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning," IEEE Robotics and Automation Letters, vol. 3, no. 3, pp. 1466-1473, Jul. 2018.
Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, Songhwai Oh, "Real-Time Nonparametric Reactive Navigation of Mobile Robots in Dynamic Environments," Robotics and Autonomous Systems, vol. 91, pp. 11–24, May 2017.
International Conference
Jaesung Ryu, Youngjoon Kwon, Sangho Yoon, and Kyungjae Lee, "Conflict Area Prediction for Boosting Search-Based Multi-Agent Pathfinding Algorithms," in Proc. of IEEE International Conference on Robotics and Automation (ICRA), May. 2024.
Taehyun Cho, Seungyub Han, Heesoo Lee, Kyungjae Lee, and Jungwoo Lee, "Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion," in Proc. of Neural Information Processing Systems (NeurIPS), Dec. 2023.
Dohyeong Kim, Kyungjae Lee, and Songhwai Oh, "Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints," in Proc. of Neural Information Processing Systems (NeurIPS), Dec. 2023.
Sungbin Lim, Eunbi Yoon, Taehyun Byun, Taewon Kang, Seungwoo Kim, Kyungjae Lee, and Sungjoon Choi, "Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces," in Proc. of Neural Information Processing Systems (NeurIPS), Dec. 2023.
Minyoung Hwang, Gunmin Lee, Hogun Kee, Chan Woo Kim, Kyungjae Lee, Songhwai Oh, "Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback," in Proc. of Neural Information Processing Systems (NeurIPS), Dec. 2023.
Daejong Jin, Juhan Park, and Kyungjae Lee, "Perturbation-Based Best Arm Identification for Efficient Task Planning with Monte-Carlo Tree Search," in Proc. of IEEE International Conference on Robotics and Automation (ICRA), May. 2023. [Longer Version]
Sung Woo Park, Hyomin Kim, Kyungjae Lee, and Junseok Kwon, "Riemannian Neural SDE: Learning Stochastic Representations on Manifolds," in Proc. of Neural Information Processing Systems (NeurIPS), Dec. 2022.
Junbum Cha, Kyungjae Lee, Sungrae Park, and Sanghyuk Chun, "Domain Generalization by Mutual-Information Regularization with Pre-trained Models" in Proc. of the European Conference on Computer Vision (ECCV), Sep. 2022.
Dohyeong Kim, Yunho Kim, Kyungjae Lee, and Songhwai Oh, "Safety Guided Policy Optimization," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2022.
Sangbeom Park, Yoonbyung Chai, Sunghyun Park, Jeongeun Park, Kyungjae Lee, and Sungjoon Choi, "Semi-Autonomous Teleoperation via Learning Non-Prehensile Manipulation Skills" in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), May. 2022.
Sung Woo Park, Kyungjae Lee, and Junseok Kwon, "Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data," in Proc. of International Conference on Learning Representations (ICLR), 2022.
Past Publications
Junbum Cha, Sanghyuk Chun, Kyungjae Lee, Hancheol Cho, Seunghyun Park, Yunsung Lee, and Sungrae Park, "SWAD: Domain Generalization by Seeking Flat Minima," in Proc. of Neural Information Processing Systems (NeurIPS), Dec. 2021.
Kyungjae Lee, Hongjun Yang, Sungbin Lim, and Songhwai Oh, "Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards," in Proc. of Neural Information Processing Systems (NeurIPS), Dec. 2020.
Kyungjae Lee, Jaegu Choy, Yunho Choi, Hogun Kee, and Songhwai Oh, "No-Regret Shannon Entropy Regularized Neural Contextual Bandit Online Learning for Robotic Grasping," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2020.
Gunmin Lee, Dohyung Kim, Wooseok Oh, Kyungjae Lee, and Songhwai Oh, "MixGAIL: Autonomous Driving Using Demonstrations with Mixed Qualities," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2020.
Kyungjae Lee, Sungyub Kim, Sungbin Lim, Sungjoon Choi, Mineui Hong, Jaein Kim, Yong-Lae Park, and Songhwai Oh, "Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots," in Proc. of Robotics: Science and Systems (RSS), Jul. 2020.
Kyungjae Lee, Yunho Choi, and Songhwai Oh, "Inverse Optimal Control from Demonstrations with Mixed Qualities," in Proc. of the International Conference on Ubiquitous Robots, Jun. 2020.
Jaegoo Choy, Kyungjae Lee, and Songhwai Oh, "Sparse Actor-Critic: Sparse Tsallis Entropy Regularized Reinforcement Learning in a Continuous Action Space," in Proc. of the International Conference on Ubiquitous Robots, Jun. 2020.
Timothy Ha, Kyunghoon Cho, Geonho Cha, Kyungjae Lee, and Songhwai Oh, "Vehicle Control with Prediction Model Based Monte-Carlo Tree Search," in Proc. of the International Conference on Ubiquitous Robots, Jun. 2020.
Yunho Choi, Hogun Kee, Kyungjae Lee, Jaegu Choy, Junhong Min, Sohee Lee, and Songhwai Oh, "Hierarchical 6-DoF Grasping with Approaching Direction Selection," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), May 2020.
Minjae Kang, Kyungjae Lee, and Songhwai Oh, "Soft Action Particle Deep Reinforcement Learning for a Continuous Action Space," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Nov. 2019.
Yunho Choi, Kyungjae Lee, and Songhwai Oh, "Distributional Deep Reinforcement Learning with a Mixture of Gaussians," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), May 2019.
Kyungjae Lee, Yunho Choi, and Songhwai Oh, "Inverse Optimal Control from Demonstrations with Mixed Qualities," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA) Workshop on Learning Legged Locomotion, May 2019.
Kyungjae Lee, Sungjoon Choi, and Songhwai Oh, "Maximum Causal Tsallis Entropy Imitation Learning", in Proc. of Neural Information Processing Systems (NIPS), Dec. 2018.
Sungjoon Choi, Kyungjae Lee, Sungbin Lim, and Songhwai Oh, "Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Variance Modeling," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), May 2018.
Sungjoon Choi, Kyungjae Lee, H. Andy Park, and Songhwai Oh, "A Nonparametric Motion Flow Model for Human Robot Cooperation," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), May 2018.
Sungjoon Choi, Kyungjae Lee, and Songhwai Oh, "Scalable Robust Learning from Demonstration with Leveraged Deep Neural Networks," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep. 2017.
Kyungjae Lee, Sungjoon Choi, and Songhwai Oh, "Inverse Reinforcement Learning with Leveraged Gaussian Processes," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2016.
Sungjoon Choi, Kyungjae Lee, and Songhwai Oh, "Robust Modeling and Prediction in Dynamic Environments Using Recurrent Flow Networks," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2016.
Sungjoon Choi, Kyungjae Lee, and Songhwai Oh, "Gaussian Random Paths for Real-Time Motion Planning," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2016.
Sungjoon Choi, Kyungjae Lee, and Songhwai Oh, "Robust Learning from Demonstration Using Leveraged Gaussian Processes and Sparse-Constrained Optimization," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), May 2016. (Best Conference Paper Award Finalist)
Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, and Songhwai Oh, "Leveraged Non-Stationary Gaussian Process Regression for Autonomous Robot Navigation," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), May 2015.
Technical Reports
Chanwoo Kim, Joonhyeok Lee, and Kyungjae Lee, "Supplementary Material: Time-Varying Preference Bandits for Personalizing Robot Behaviors"