Kyungjae Lee

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 45

Top Topics

Gaussian Processes

Reinforcement Learning

Top Venues

Publications

Kyungjae Lee, Sungbin Lim
Minimax Optimal Bandits for Heavy Tail Rewards. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Hyeonjun Park, Kyungjae Lee
Heavy-Tailed Reinforcement Learning With Penalized Robust Estimator. IEEE Access 12 (2024)
Dohyeong Kim, Taehyun Cho, Seungyub Han, Hojun Chung, Kyungjae Lee, Songhwai Oh
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees. CoRR (2024)
Joonhyung Lee, Sangbeom Park, Jeongeun Park, Kyungjae Lee, Sungjoon Choi
SPOTS: Stable Placement of Objects with Reasoning in Semi-Autonomous Teleoperation Systems. ICRA (2024)
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 (2024)
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)
Dohyeong Kim, Kyungjae Lee, Songhwai Oh
Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints. NeurIPS (2023)
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)
Dohyeong Kim, Kyungjae Lee, Songhwai Oh
Efficient Trust Region-Based Safe Reinforcement Learning with Low-Bias Distributional Actor-Critic. CoRR (2023)
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) (2022)
Hyunjun Yang, Hyeonjun Park, Kyungjae Lee
A Selective Portfolio Management Algorithm with Off-Policy Reinforcement Learning Using Dirichlet Distribution. Axioms 11 (12) (2022)
Dohyeong Kim, Yunho Kim, Kyungjae Lee, Songhwai Oh
Safety Guided Policy Optimization. IROS (2022)
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)
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)
Timothy Ha, Kyunghoon Cho, Geonho Cha, Kyungjae Lee, Songhwai Oh
Vehicle Control with Prediction Model Based Monte-Carlo Tree Search. UR (2020)
Sungjoon Choi, Sanghoon Hong, Kyungjae Lee, Sungbin Lim
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks. CVPR (2020)
Gunmin Lee, Dohyeong Kim, Wooseok Oh, Kyungjae Lee, Songhwai Oh
MixGAIL: Autonomous Driving Using Demonstrations with Mixed Qualities. IROS (2020)
Kyungjae Lee, Hongjun Yang, Sungbin Lim, Songhwai Oh
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards. CoRR (2020)
Jaegoo Choy, Kyungjae Lee, Songhwai Oh
Sparse Actor-Critic: Sparse Tsallis Entropy Regularized Reinforcement Learning in a Continuous Action Space. UR (2020)
Kyungjae Lee, Hongjun Yang, Sungbin Lim, Songhwai Oh
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards. NeurIPS (2020)
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)
Yunho Choi, Hogun Kee, Kyungjae Lee, Jaegoo Choy, Junhong Min, Sohee Lee, Songhwai Oh
Hierarchical 6-DoF Grasping with Approaching Direction Selection. ICRA (2020)
Kyungjae Lee, Yunho Choi, Songhwai Oh
Inverse Optimal Control from Demonstrations with Mixed Qualities. UR (2020)
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) (2020)
Sungjoon Choi, Kyungjae Lee, Songhwai Oh
Robust Learning From Demonstrations With Mixed Qualities Using Leveraged Gaussian Processes. IEEE Trans. Robotics 35 (3) (2019)
Kyungjae Lee, Sungyub Kim, Sungbin Lim, Sungjoon Choi, Songhwai Oh
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning. CoRR (2019)
Yunho Choi, Kyungjae Lee, Songhwai Oh
Distributional Deep Reinforcement Learning with a Mixture of Gaussians. ICRA (2019)
Minjae Kang, Kyungjae Lee, Songhwai Oh
Soft Action Particle Deep Reinforcement Learning for a Continuous Action Space. IROS (2019)
Sungjoon Choi, Kyungjae Lee, Sungbin Lim, Songhwai Oh
Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Variance Modeling. ICRA (2018)
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) (2018)
Sungjoon Choi, Kyungjae Lee, Hyungju Andy Park, Songhwai Oh
A Nonparametric Motion Flow Model for Human Robot Cooperation. ICRA (2018)
Kyungjae Lee, Sungjoon Choi, Songhwai Oh
Maximum Causal Tsallis Entropy Imitation Learning. CoRR (2018)
Kyungjae Lee, Sungjoon Choi, Songhwai Oh
Maximum Causal Tsallis Entropy Imitation Learning. NeurIPS (2018)
Sungjoon Choi, Kyungjae Lee, Hyungju Andy Park, Songhwai Oh
A Nonparametric Motion Flow Model for Human Robot Cooperation. CoRR (2017)
Sungjoon Choi, Kyungjae Lee, Songhwai Oh
Scalable robust learning from demonstration with leveraged deep neural networks. IROS (2017)
Sungjoon Choi, Kyungjae Lee, Sungbin Lim, Songhwai Oh
Uncertainty-Aware Learning from Demonstration using Mixture Density Networks with Sampling-Free Variance Modeling. CoRR (2017)
Sungjoon Choi, Kyungjae Lee, Songhwai Oh
A multi-agent coverage algorithm with connectivity maintenance. MFI (2017)
Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, Songhwai Oh
Real-time nonparametric reactive navigation of mobile robots in dynamic environments. Robotics Auton. Syst. 91 (2017)
Kyungjae Lee, Sungjoon Choi, Songhwai Oh
Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning. CoRR (2017)
Sungjoon Choi, Kyungjae Lee, Hyungju Andy Park, Songhwai Oh
Density Matching Reward Learning. CoRR (2016)
Sungjoon Choi, Kyungjae Lee, Songhwai Oh
Robust learning from demonstration using leveraged Gaussian processes and sparse-constrained optimization. ICRA (2016)
Sungjoon Choi, Kyungjae Lee, Songhwai Oh
Gaussian random paths for real-time motion planning. IROS (2016)
Sungjoon Choi, Kyungjae Lee, Songhwai Oh
Robust modeling and prediction in dynamic environments using recurrent flow networks. IROS (2016)
Kyungjae Lee, Sungjoon Choi, Songhwai Oh
Inverse reinforcement learning with leveraged Gaussian processes. IROS (2016)
Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, Songhwai Oh
Leveraged non-stationary Gaussian process regression for autonomous robot navigation. ICRA (2015)