(2024-9) Prof. Lee joined the Department of Statistics at Korea University starting in September.
(2024-9) Our paper on spectral risk RL has been accepted to NeurIPS 2024.
(2024-1) Our paper on conflict map prediction for MAPF has been accepted to ICRA 2024.
(2023-9) Our paper on sequential preference comparison for efficient PBL has been accepted to NeurIPS 2023.
(2023-9) Our paper on Hilbert diffusion model has been accepted to NeurIPS 2023.
(2023-9) Our paper on distributional RL with randomizing risk measure has been accepted to NeurIPS 2023.
(2023-9) Our paper on safe RL for multiple constraints has been accepted to NeurIPS 2023.
(2023-6) Our lab has received an NRF start-up grant [최초혁신실험실].
(2023-5) Our lab has received the prestigious early career NRF grant [우수신진연구].
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.
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.