| 1 |
[2024_4] Maximizing the Performance of a Lithium-Ion Battery Aging Estimator Using Reinforcement Learning, IEEE Transactions on Industrial Informatics
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관리자 |
2024.02.03 |
214 |
| 2 |
[2024_8] Model-Based Reinforcement Learning With Probabilistic Ensemble Terminal Critics for Data-Efficient Control Applications, IEEE Transactions on Industrial Electronics
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관리자 |
2023.11.16 |
209 |
| 3 |
[2024_2] Reinforcement learning to achieve real-time control of triple inverted pendulum, ELSEVIER Engineering Applications of Artificial Intelligence
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관리자 |
2023.11.16 |
148 |
| 4 |
[2023_11] Reinforcement learning with multimodal advantage function for accurate advantage estimation in robot learning, ELSEVIER Engineering Applications of Artificial Intelligence
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관리자 |
2023.11.08 |
122 |
| 5 |
[2023_7] Reinforcement Learning with Model-based Assistance for Shape Control in Sendzimir Rolling Mills, IEEE Transactions on Control Systems Technology
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관리자 |
2023.11.08 |
86 |
| 6 |
[2023_8] Strategically switching metaheuristics for effective parameter estimation of electrochemical lithium-ion battery models, Elsevier Journal of Energy Storage
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관리자 |
2023.11.08 |
76 |
| 7 |
[2023_6] Efficient Multitask Reinforcement Learning Without Performance Loss
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관리자 |
2023.06.13 |
322 |
| 8 |
[2023_3]Improving aging identifiability of lithium-ion batteries using deep reinforcement learning, IEEE Transactions on Transportation Electrification
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관리자 |
2023.02.24 |
342 |
| 9 |
[2023_9]Suitability of various LiDAR and radar sensors for application in robotics, IEEE Robotics and Automation Magazine
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관리자 |
2023.02.24 |
337 |
| 10 |
[2022_7]A continuous finite-time convergence fixed-lag FIR smoother using multiple IIR filters, Journal of the Franklin Institute
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관리자 |
2023.02.24 |
190 |
