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City metro network expansion based on multi-objective reinforcement learning
Journal article
Zhang, Liqing, U, Leong Hou, Ni, Shaoquan, Chen, Dingjun, Li, Zhenning, Wang, Wenxian, Xian, Weizhi. City metro network expansion based on multi-objective reinforcement learning[J]. Transportation Research Part C: Emerging Technologies, 2024, 169, 104880.
Authors:
Zhang, Liqing
;
U, Leong Hou
;
Ni, Shaoquan
;
Chen, Dingjun
;
Li, Zhenning
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
7.6
/
9.6
|
Submit date:2024/11/05
Actor-critic Network
Metro Expansion
Reinforcement Learning
Utilizing Deep Reinforcement Learning for High-Voltage Distribution Network Expansion Planning
Conference paper
Ou, Zhongxi, Zhang, Liang, Zhao, Xiaoyan, Lan, Wei, Liu, Dundun, Liu, Weifeng. Utilizing Deep Reinforcement Learning for High-Voltage Distribution Network Expansion Planning[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 725-730.
Authors:
Ou, Zhongxi
;
Zhang, Liang
;
Zhao, Xiaoyan
;
Lan, Wei
;
Liu, Dundun
; et al.
Favorite
|
TC[Scopus]:
0
|
Submit date:2024/09/03
Advantage Actor-critic
Deep Reinforcement Learning
Distribution Network Expansion
Markov Decision Process
Joint Resource Overbooking and Container Scheduling in Edge Computing
Journal article
Tang Zhiqing, Mou Fangyi, Lou Jiong, Jia Weijia, Wu Yuan, Zhao Wei. Joint Resource Overbooking and Container Scheduling in Edge Computing[J]. IEEE Transactions on Mobile Computing, 2024, 23(12), 10903 - 10917.
Authors:
Tang Zhiqing
;
Mou Fangyi
;
Lou Jiong
;
Jia Weijia
;
Wu Yuan
; et al.
Favorite
|
TC[Scopus]:
1
IF:
7.7
/
6.5
|
Submit date:2024/05/16
Container Scheduling
Edge Computing
Resource Overbooking
Soft Actor-critic Reinforcement Learning
Deep Reinforcement Learning-based RAN Slicing for UL/DL Decoupled Cellular V2X
Journal article
Yu, Kai, Zhou, Haibo, Tang, Zhixuan, Shen, Xuemin, Hou, Fen. Deep Reinforcement Learning-based RAN Slicing for UL/DL Decoupled Cellular V2X[J]. IEEE Transactions on Wireless Communications, 2022, 21(5).
Authors:
Yu, Kai
;
Zhou, Haibo
;
Tang, Zhixuan
;
Shen, Xuemin
;
Hou, Fen
Favorite
|
TC[WOS]:
23
TC[Scopus]:
28
IF:
8.9
/
8.6
|
Submit date:2022/05/13
Ran Slicing
Decoupled Access
Soft Actor-critic
Reinforcement Learning
Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space
Journal article
Yang, Yongliang, Zhu, Hufei, Zhang, Qichao, Zhao, Bo, Li, Zhenning, Wunsch, Donald C.. Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space[J]. Artificial Intelligence Review, 2021, 55, 23-58.
Authors:
Yang, Yongliang
;
Zhu, Hufei
;
Zhang, Qichao
;
Zhao, Bo
;
Li, Zhenning
; et al.
Favorite
|
TC[WOS]:
23
TC[Scopus]:
22
IF:
10.7
/
11.7
|
Submit date:2022/02/21
Actor-critic Learning
Non-parametric Learning
Online Sparsification
Reproducing Kernel Hilbert Space
Value Function Approximation
Robust Actor-Critic Learning for Continuous-Time Nonlinear Systems with Unmodeled Dynamics
Journal article
Yang,Yongliang, Gao,Weinan, Modares,Hamidreza, Xu,Cheng Zhong. Robust Actor-Critic Learning for Continuous-Time Nonlinear Systems with Unmodeled Dynamics[J]. IEEE Transactions on Fuzzy Systems, 2021.
Authors:
Yang,Yongliang
;
Gao,Weinan
;
Modares,Hamidreza
;
Xu,Cheng Zhong
Favorite
|
TC[WOS]:
100
TC[Scopus]:
114
IF:
10.7
/
9.7
|
Submit date:2021/05/31
Fuzzy Logic
Heuristic Algorithms
Input-to-state Stability
Nonlinear Dynamical Systems
Optimal Control
Optimal Control
Power System Dynamics
Robust Actor-critic Learning
Stability Criteria
Uncertainty
Unmodeled Dynamics
Adaptive tracking control of surface vessel using optimized backstepping technique
Journal article
Wen,Guoxing, Ge,Shuzhi Sam, Chen,C. L.Philip, Tu,Fangwen, Wang,Shengnan. Adaptive tracking control of surface vessel using optimized backstepping technique[J]. IEEE Transactions on Cybernetics, 2019, 49(9), 3420-3431.
Authors:
Wen,Guoxing
;
Ge,Shuzhi Sam
;
Chen,C. L.Philip
;
Tu,Fangwen
;
Wang,Shengnan
Favorite
|
TC[WOS]:
164
TC[Scopus]:
178
IF:
9.4
/
10.3
|
Submit date:2021/03/09
Actor-critic Architecture
Lyapunov Stability
Optimized Backstepping (Ob)
Reinforcement Learning (Rl)
Surface Vessel
Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm
Journal article
Wen, Guoxing, Chen, C. L. Philip, Feng, Jun, Zhou, Ning. Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm[J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 26(5), 2719-2731.
Authors:
Wen, Guoxing
;
Chen, C. L. Philip
;
Feng, Jun
;
Zhou, Ning
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|
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Favorite
|
TC[WOS]:
130
TC[Scopus]:
139
IF:
10.7
/
9.7
|
Submit date:2018/10/30
Fuzzy Logic Systems (Flss)
Identifier-actor-critic Architecture
Multi-agent Formation
Optimized Formation Control
Reinforcement Learning (Rl)
Optimized Multi-Agent Formation Control Based on an Identifier-Actor-Critic Reinforcement Learning Algorithm
Journal article
Wen G., Chen C.L.P., Feng J., Zhou N.. Optimized Multi-Agent Formation Control Based on an Identifier-Actor-Critic Reinforcement Learning Algorithm[J]. IEEE Transactions on Fuzzy Systems, 2018, 26(5), 2719-2731.
Authors:
Wen G.
;
Chen C.L.P.
;
Feng J.
;
Zhou N.
Favorite
|
TC[WOS]:
130
TC[Scopus]:
139
|
Submit date:2019/02/11
Fuzzy Logic Systems (Flss)
Identifier-actor-critic Architecture
Multi-agent Formation
Optimized Formation Control
Reinforcement Learning (Rl)