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Papers
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[2024_ACCEPT] Maximizing th
Title: Maximizing the Performance of a Lithium-Ion Battery Aging Estimator Using Reinforcement LearningJournal: IEEE Transactions on Industrial InformaticsAuthor: Huiyong Chun and Soohee HanDOI: 10.1109/TII.2024.3353861Print ISSN: 1551-3203Online ISSN: 1941-0050
2024.02.03 -
[2023_ACCEPT] Model-Based R
Title: Model-Based Reinforcement Learning With Probabilistic Ensemble Terminal Critics for Data-Efficient Control ApplicationsJournal: IEEE Transactions on Industrial ElectronicsAuthor: Jonghyeok Park, Soo Jeon and Soohee HanDOI: 10.1109/TIE.2023.3331074
2023.11.16 -
[2023_ACCEPT] Reinforcement
Title: Reinforcement learning to achieve real-time control of triple inverted pendulumJournal: ELSEVIER Engineering Applications of Artificial IntelligenceAuthor: Jongchan Baek, Changhyeon Lee, Young Sam Lee, Soo Jeon and Soohee HanDOI: 10.1016/j.engappai.2023.107518
2023.11.16
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News & Notice
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Huiyong, congratulations on
Huiyong Chun and Soohee Han had their paper, "Maximizing the performance of a lithium-ion battery aging estimator using reinforcement learning"on IEEE Transactions on Industrial Informatics.DOI: 10.1109/TII.2024.3353861Print ISSN: 1551-3203Online ISSN: 1941-0050Congratulations!
2024.02.03 -
Jonghyeok, congratulations
Jonghyeok Park, Soo Jeon and Soohee Han had their paper, "Model-Based Reinforcement Learning With Probabilistic Ensemble Terminal Critics for Data-Efficient Control Applications"on IEEE Transactions on Industrial Electronics.DOI: 10.1109/TIE.2023.3331074Congratulations!
2023.11.16 -
Jongchan, congratulations o
Jongchan Baek, Changhyeon Lee, Young Sam Lee, Soo Jeon and Soohee Han had their paper, "Reinforcement learning to achieve real-time control of triple inverted pendulum"on ELSEVIER Engineering Applications of Artificial Intelligence.DOI: 10.1016/j.engappai.2023.107518 Congratulations!
2023.11.16
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Position opening
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