News
We are actively recruiting integrated Ph.D., Ph.D. students, or Post-Doc who are interested in AI and robotics. If you want to join our group, please read this page
(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].
Research Spotlight
Perturbation-Based Best Arm Identification for Efficient Task Planning with Monte-Carlo Tree Search
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.
Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots
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.