Jongchan Baek

13 papers A* 1C 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Transformer-based dynamics model for sim-to-real reinforcement learning control of a quadrotor with limited experimental data.
Appl. Soft Comput.
Yoonsu Jang, Seongwon Yoon, Jongchan Baek, Changhyeon Lee, Jangwon Kim, Soohee Han
2024 J jnl
Bridging the simulation-to-real gap of depth images for deep reinforcement learning.
Expert Syst. Appl.
Yoonsu Jang, Jongchan Baek, Soo Jeon, Soohee Han
2024 J jnl
Efficient Multitask Reinforcement Learning Without Performance Loss.
IEEE Trans. Neural Networks Learn. Syst.
Jongchan Baek, Seungmin Baek, Soohee Han
2024 J jnl
Reinforcement learning to achieve real-time control of triple inverted pendulum.
Eng. Appl. Artif. Intell.
Jongchan Baek, Changhyeon Lee, Young Sam Lee, Soo Jeon, Soohee Han
2023 A* conf
Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback.
NeurIPS
Jangwon Kim, Hangyeol Kim, Jiwook Kang, Jongchan Baek, Soohee Han
2023 J jnl
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World.
CoRR
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, Hangyeol Kim, Jongchan Baek, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius
2022 C conf
A Reinforcement Learning-based Adaptive Time-Delay Control and Its Application to Robot Manipulators.
ACC
Seungmin Baek, Jongchan Baek, Jinsuk Choi, Soohee Han
2022 J jnl
Hindsight Intermediate Targets for Mapless Navigation With Deep Reinforcement Learning.
IEEE Trans. Ind. Electron.
Yoonsu Jang, Jongchan Baek, Soohee Han
2022 J jnl
Quantization-Aware Pruning Criterion for Industrial Applications.
IEEE Trans. Ind. Electron.
Yoonhee Gil, Jong-Hyeok Park, Jongchan Baek, Soohee Han
2021 — conf
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World.
NeurIPS (Competition and Demos)
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, Hangyeol Kim, Jongchan Baek, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius
2021 J jnl
Sparse Variational Deterministic Policy Gradient for Continuous Real-Time Control.
IEEE Trans. Ind. Electron.
Jongchan Baek, Hayoung Jun, Jong-Hyeok Park, Hakjun Lee, Soohee Han
2020 J jnl
Optimal Charging Method for Effective Li-ion Battery Life Extension Based on Reinforcement Learning.
CoRR
Minho Kim, Jongchan Baek, Soohee Han
2017 J jnl
Visualizing Quaternion Multiplication.
IEEE Access
Jongchan Baek, Hayeong Jeon, Gwangjin Kim, Soohee Han