Parameter identification of lithium-ion battery pseudo-2-dimensional models using genetic algorithm and neural network cooperative optimization J Kim, H Chun, J Baek, S Han Journal of Energy Storage 45, 103571, 2022 | 52 | 2022 |
Visualizing quaternion multiplication J Baek, H Jeon, G Kim, S Han IEEE Access 5, 8948-8955, 2017 | 27 | 2017 |
Sparse variational deterministic policy gradient for continuous real-time control J Baek, H Jun, J Park, H Lee, S Han IEEE Transactions on Industrial Electronics 68 (10), 9800-9810, 2020 | 24 | 2020 |
Quantization-aware pruning criterion for industrial applications Y Gil, JH Park, J Baek, S Han IEEE Transactions on Industrial Electronics 69 (3), 3203-3213, 2021 | 19 | 2021 |
An adaptive model uncertainty estimator using delayed state-based model-free control and its application to robot manipulators S Baek, J Baek, W Kwon, S Han IEEE/ASME Transactions on Mechatronics 27 (6), 4573-4584, 2022 | 16 | 2022 |
Hindsight intermediate targets for mapless navigation with deep reinforcement learning Y Jang, J Baek, S Han IEEE Transactions on Industrial Electronics 69 (11), 11816-11825, 2021 | 16 | 2021 |
Reinforcement learning to achieve real-time control of triple inverted pendulum J Baek, C Lee, YS Lee, S Jeon, S Han Engineering Applications of Artificial Intelligence 128, 107518, 2024 | 7 | 2024 |
Belief projection-based reinforcement learning for environments with delayed feedback J Kim, H Kim, J Kang, J Baek, S Han Advances in Neural Information Processing Systems 36, 678-696, 2023 | 4 | 2023 |
Automatic data augmentation by upper confidence bounds for deep reinforcement learning Y Gil, J Baek, J Park, S Han 2021 21st International Conference on Control, Automation and Systems (ICCAS …, 2021 | 4 | 2021 |
Real robot challenge 2022: Learning dexterous manipulation from offline data in the real world N Gürtler, F Widmaier, C Sancaktar, S Blaes, P Kolev, S Bauer, ... NeurIPS 2022 Competition Track, 133-150, 2023 | 3 | 2023 |
A reinforcement learning-based adaptive time-delay control and its application to robot manipulators S Baek, J Baek, J Choi, S Han 2022 American Control Conference (ACC), 2722-2729, 2022 | 3 | 2022 |
Efficient multitask reinforcement learning without performance loss J Baek, S Baek, S Han IEEE Transactions on Neural Networks and Learning Systems, 2023 | 2 | 2023 |
강화학습을 이용한 카오틱 시스템 제어 길윤희, 백종찬, 최진석, 박종혁, 김해연, 한수희 제어로봇시스템학회 국내학술대회 논문집, 389-390, 2020 | 2 | 2020 |
Electrochemical–mechanical coupled model for computationally efficient prediction of long-term capacity fade of lithium-ion batteries K Kim, G Lee, H Chun, J Baek, H Pyeon, M Kim, S Han Journal of Energy Storage 86, 111224, 2024 | 1 | 2024 |
Improved Robustness of Reinforcement Learning Based on Uncertainty and Disturbance Estimator J Choi, H Park, J Baek, S Han 2022 22nd International Conference on Control, Automation and Systems (ICCAS …, 2022 | 1 | 2022 |
Bridging the simulation-to-real gap of depth images for deep reinforcement learning Y Jang, J Baek, S Jeon, S Han Expert Systems with Applications, 124310, 2024 | | 2024 |
변분 추론의 증거 하한을 사용한 강화학습 백종찬, 한수희 제어로봇시스템학회 논문지 28 (11), 981-985, 2022 | | 2022 |
베이지안 신경망을 이용한 중요도 기반 전이 강화 학습 정민욱, 백종찬, 김장원, 강지욱, 한수희 제어로봇시스템학회 국내학술대회 논문집, 70-71, 2022 | | 2022 |
지하 터널 환경에서 3 차원 라이다를 이용한 모바일 로봇 자율주행 정민욱, 백종찬, 김해연, 길윤희, 우정욱, 한수희 대한전기학회 학술대회 논문집, 1833-1834, 2021 | | 2021 |
베이지안 가지치기를 이용한 멀티 태스크 심층 강화학습 백종찬, 백승민, 최진석, 이형웅, 한수희 제어로봇시스템학회 국내학술대회 논문집, 393-394, 2020 | | 2020 |