Jongchan Baek

According to our database, Jongchan Baek authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Efficient Multitask Reinforcement Learning Without Performance Loss.

Jongchan Baek, Seungmin Baek, Soohee Han

IEEE Trans. Neural Networks Learn. Syst., October, 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

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

2023

Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback.

Jangwon Kim, Hangyeol Kim, Jiwook Kang, Jongchan Baek, Soohee Han

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Hindsight Intermediate Targets for Mapless Navigation With Deep Reinforcement Learning.

Yoonsu Jang, Jongchan Baek, Soohee Han

IEEE Trans. Ind. Electron., 2022

Quantization-Aware Pruning Criterion for Industrial Applications.

Yoonhee Gil, Jong-Hyeok Park, Jongchan Baek, Soohee Han

IEEE Trans. Ind. Electron., 2022

A Reinforcement Learning-based Adaptive Time-Delay Control and Its Application to Robot Manipulators.

Seungmin Baek, Jongchan Baek, Jinsuk Choi, Soohee Han

Proceedings of the American Control Conference, 2022

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

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, 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

Proceedings of the NeurIPS 2022 Competition Track, 2021

2020

Optimal Charging Method for Effective Li-ion Battery Life Extension Based on Reinforcement Learning.

Minho Kim, Jongchan Baek, Soohee Han

CoRR, 2020

2017

Visualizing Quaternion Multiplication.

Jongchan Baek, Hayeong Jeon, Gwangjin Kim, Soohee Han

IEEE Access, 2017