Visualizing Quaternion Multiplication. - Jongchan Baek; Hayeong Jeon; Gwangjin Kim; Soohee Han (IEEE Access, 2017)

Optimal Charging Method for Effective Li-ion Battery Life Extension Based on Reinforcement Learning. - Minho Kim; Jongchan Baek; Soohee Han (CoRR, 2020)

Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World. - Nico Gürtler; Felix Widmaier; Cansu Sancaktar; Sebastian Blaes; Pavel Kolev; Stefan Bauer; Manuel Wüthrich; Markus Wulfmeier; Martin A. Riedmiller; Arthur Allshire; Qiang Wang; Robert McCarthy; et al. (NeurIPS (Competition and Demos), 2021)

Sparse Variational Deterministic Policy Gradient for Continuous Real-Time Control. - Jongchan Baek; Hayoung Jun; Jong-Hyeok Park; Hakjun Lee; Soohee Han (IEEE Trans. Ind. Electron., 2021)

A Reinforcement Learning-based Adaptive Time-Delay Control and Its Application to Robot Manipulators. - Seungmin Baek; Jongchan Baek; Jinsuk Choi; Soohee Han (ACC, 2022)

Quantization-Aware Pruning Criterion for Industrial Applications. - Yoonhee Gil; Jong-Hyeok Park; Jongchan Baek; Soohee Han (IEEE Trans. Ind. Electron., 2022)

Hindsight Intermediate Targets for Mapless Navigation With Deep Reinforcement Learning. - Yoonsu Jang; Jongchan Baek; Soohee Han (IEEE Trans. Ind. Electron., 2022)

Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback. - Jangwon Kim; Hangyeol Kim; Jiwook Kang; Jongchan Baek; Soohee Han (NeurIPS, 2023)

Reinforcement learning to achieve real-time control of triple inverted pendulum. - Jongchan Baek; Changhyeon Lee; Young Sam Lee; Soo Jeon; Soohee Han (Eng. Appl. Artif. Intell., 2024)

Bridging the simulation-to-real gap of depth images for deep reinforcement learning. - Yoonsu Jang; Jongchan Baek; Soo Jeon; Soohee Han (Expert Syst. Appl., 2024)

Efficient Multitask Reinforcement Learning Without Performance Loss. - Jongchan Baek; Seungmin Baek; Soohee Han (IEEE Trans. Neural Networks Learn. Syst., 2024)