| 1 |
[2024_ACCEPT] Maximizing the Performance of a Lithium-Ion Battery Aging Estimator Using Reinforcement Learning, IEEE Transactions on Industrial Informatics
|
관리자 |
2024.02.03 |
201 |
| 2 |
[2023_ACCEPT] Model-Based Reinforcement Learning With Probabilistic Ensemble Terminal Critics for Data-Efficient Control Applications, IEEE Transactions on Industrial Electronics
|
관리자 |
2023.11.16 |
198 |
| 3 |
[2023_ACCEPT] Reinforcement learning to achieve real-time control of triple inverted pendulum, ELSEVIER Engineering Applications of Artificial Intelligence
|
관리자 |
2023.11.16 |
136 |
| 4 |
[2023_11] Reinforcement learning with multimodal advantage function for accurate advantage estimation in robot learning, ELSEVIER Engineering Applications of Artificial Intelligence
|
관리자 |
2023.11.08 |
111 |
| 5 |
[2023_7] Reinforcement Learning with Model-based Assistance for Shape Control in Sendzimir Rolling Mills, IEEE Transactions on Control Systems Technology
|
관리자 |
2023.11.08 |
80 |
| 6 |
[2023_8] Strategically switching metaheuristics for effective parameter estimation of electrochemical lithium-ion battery models, Elsevier Journal of Energy Storage
|
관리자 |
2023.11.08 |
71 |
| 7 |
[2023_6] Efficient Multitask Reinforcement Learning Without Performance Loss
|
관리자 |
2023.06.13 |
314 |
| 8 |
[2023_3]Improving aging identifiability of lithium-ion batteries using deep reinforcement learning, IEEE Transactions on Transportation Electrification
|
관리자 |
2023.02.24 |
330 |
| 9 |
[2022_ACCEPT]Suitability of various LiDAR and radar sensors for application in robotics, IEEE Robotics and Automation Magazine
|
관리자 |
2023.02.24 |
330 |
| 10 |
[2022_7]A continuous finite-time convergence fixed-lag FIR smoother using multiple IIR filters, Journal of the Franklin Institute
|
관리자 |
2023.02.24 |
182 |
