Kyungjae Lee

kyungjae_pro.jpg

 

Kyungjae Lee

Ph.D Student
Department of Electrical and Computer Engineering
Seoul National University
1 Gwanak-ro, Gwanak-gu
Seoul 151-744, Korea

Office: Building 133 Room 610
Phone: +82-2-880-1512
Email: kyungjae.lee (at) rllab.snu.ac.kr / dlxhrl (at) snu.ac.kr 

 

Kyungjae Lee is a Ph.D. student in the Department of Electrical and Computer Engineering at the Seoul National University, Korea. He received the B.S. degree in electrical and computer engineering from Seoul National University, Seoul, Korea, in 2015. His research interests include cyber–physical systems, machine learning, robotics, optimization, learning from demonstration and their applications.


Research Experiences

  • 2019-present: Robot Learning: Efficient, Safe, and Socially-Acceptable Machine Learning - Ministry of Science and ICT (MSI)
  • 2017-present: Robot Learning from Demonstrations with Mixed Qualities - Ministry of Science and ICT (MSI)
  • 2014-2017: ML Center: Human-Level Lifelong Machine Learning - Ministry of Science, ICT, and Future Planning (MSIP) 
  • 2013-2018: Biomimetic Recognition Technology - Agency for Defense Development (ADD)
  • 2013-2016: Human-Centric Networked Robotics Technology - National Research Foundation (NRF)

Publications

International Journal

  • Sungjoon Choi, Kyungjae Lee, and Songhwai Oh, "Robust Learning from Demonstrations with Mixed Qualities Using Leveraged Gaussian Processes," IEEE Transactions on Robotics, 2018.
  • 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 (RA-L), 2018.
  • Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, Songhwai Oh, "Real-Time Nonparametric Reactive Navigation of Mobile Robots in Dynamic Environments", Robotics and Autonomous Systems, 2017.

International Conference

  • 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.
  • 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, 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 International Conference on Intelligent Robots and Systems (IROS), Sep. 2017.
  • Kyungjae Lee, Sungjoon Choi, Songhwai Oh, "Inverse Reinforcement Learning with Leveraged Gaussian Processes", in Proc. of the IEEE International Conference on Intelligent Robots and Systems (IROS), Sep, 2016.
  • Sungjoon Choi, Kyungjae Lee, Songhwai Oh, "Robust Modeling and Prediction in Dynamic Environments Using Recurrent Flow Networks", in Proc. of the IEEE International Conference on Intelligent Robots and Systems (IROS), 2016.
  • Sungjoon Choi, Kyungjae Lee, Songhwai Oh, "Gaussian Random Paths for Real-Time Motion Planning", in Proc. of the IEEE International Conference on Intelligent Robots and Systems (IROS), 2016.
  • Sungjoon Choi, Kyungjae Lee, Songhwai Oh, "Robust Learning From Demonstration Using Leveraged Gaussian Processes and Sparse Constrained Optimization", in IEEE Conference on Robotics and Automation (ICRA), 2016. [Best Conference Paper Finalist]
  • Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, Songhwai Oh, "Leveraged Non-Stationary Gaussian Process Regression for Autonomous Robot Navigation", in IEEE Conference on Robotics and Automation (ICRA), 2015. 

Teaching

  • Deep Reinforcement Learning (430.729.003) Spring 2018 (SNU, TA)
  • Introduction to Intelligent Systems (430.457) Spring 2015 (SNU, TA)