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Hamiltonian-Driven Adaptive Dynamic Programming With Efficient Experience Replay Journal article
Yang, Yongliang, Pan, Yongping, Xu, Cheng Zhong, Wunsch, Donald C.. Hamiltonian-Driven Adaptive Dynamic Programming With Efficient Experience Replay[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(3), 3278-3290.
Authors:  Yang, Yongliang;  Pan, Yongping;  Xu, Cheng Zhong;  Wunsch, Donald C.
Favorite | TC[WOS]:79 TC[Scopus]:82  IF:10.2/10.4 | Submit date：2023/01/30
Hamilton–jacobi–bellman (Hjb) Equation  Hamiltonian-driven Adaptive Dynamic Programming (Adp)  Pseudo-hamiltonian  Quasi-hamiltonian  Relaxed Excitation Condition  
Hamiltonian-Driven Adaptive Dynamic Programming With Approximation Errors Journal article
Yang, Yongliang, Modares, Hamidreza, Vamvoudakis, Kyriakos G., He, Wei, Xu, Cheng Zhong, Wunsch, Donald C.. Hamiltonian-Driven Adaptive Dynamic Programming With Approximation Errors[J]. IEEE Transactions on Cybernetics, 2021, 52(12), 13762-13773.
Authors:  Yang, Yongliang;  Modares, Hamidreza;  Vamvoudakis, Kyriakos G.;  He, Wei;  Xu, Cheng Zhong; et al.
Favorite | TC[WOS]:78 TC[Scopus]:76  IF:9.4/10.3 | Submit date：2022/05/13
Hamilton-jacobi-bellman (Hjb) Equation  Hamiltonian-driven Framework  Inexact Adaptive Dynamic Programming (Adp)  Optimal Control  
Sampling sparse representations with randomized measurement langevin dynamics Journal article
Wang,Kafeng, Xiong,Haoyi, Bian,Jiang, Zhu,Zhanxing, Gao,Qian, Guo,Zhishan, Xu,Cheng Zhong, Huan,Jun, Dou,Dejing. Sampling sparse representations with randomized measurement langevin dynamics[J]. ACM Transactions on Knowledge Discovery from Data, 2021, 15(2).
Authors:  Wang,Kafeng;  Xiong,Haoyi;  Bian,Jiang;  Zhu,Zhanxing;  Gao,Qian; et al.
Favorite | TC[WOS]:1 TC[Scopus]:3  IF:4.0/3.9 | Submit date：2021/05/31
Compressive Sensing  Hamiltonian Monte Carlo  Lasso  
Adaptive Dynamic Programming in the Hamiltonian-Driven Framework Book chapter
出自: Studies in Systems, Decision and Control:Springer Science and Business Media Deutschland GmbH, 2021, 页码:189-214
Authors:  Yang, Yongliang;  Wunsch, Donald C.;  Yin, Yixin
Favorite | TC[Scopus]:0 | Submit date：2022/05/13
Adaptive Dynamic Programming  Hamiltonian-driven Framework  Temporal Difference  Value Gradient Learning  
Data-Driven Solutions to Mixed H-{2/H-infty Control: A Hamilton-Inequality-Driven Reinforcement Learning Approach Conference paper
Yang, Yongliang, Mazouchi, Majid, Modares, Hamidreza. Data-Driven Solutions to Mixed H-{2/H-infty Control: A Hamilton-Inequality-Driven Reinforcement Learning Approach[C], 2020, 340-345.
Authors:  Yang, Yongliang;  Mazouchi, Majid;  Modares, Hamidreza
Favorite | TC[Scopus]:0 | Submit date：2021/12/06
Coupled Hamilton-jacobi Equations  Hamiltonian-driven Framework  Mixed Performance  Non-zero Sum Game  Sum-of-square (Sos) Programs  
Carrier-potential interaction for high- T c superconductivity Journal article
Hui Pan. Carrier-potential interaction for high- T c superconductivity[J]. International Journal of Modern Physics B, 2020, 34(18), 2050163.
Authors:  Hui Pan
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.6/1.6 | Submit date：2021/03/09
Carrier-potential Interaction  Hamiltonian  High-temperature Superconductivity  Ordered Potentials