DETERMINISTIC

作品数:359被引量:447H指数:8
导出分析报告
相关作者:董社勤吴有亮洪先龙黄鲁娟金光更多>>
相关机构:清华大学香港中文大学宁波大学北京航空航天大学更多>>
相关期刊:更多>>
相关基金:国家自然科学基金国家重点基础研究发展计划中国博士后科学基金国家教育部博士点基金更多>>
-

检索结果分析

结果分析中...
条 记 录,以下是1-10
视图:
排序:
DDPG-Based Intelligent Computation Offloading and Resource Allocation for LEO Satellite Edge Computing Network
《China Communications》2025年第3期1-15,共15页Jia Min Wu Jian Zhang Liang Wang Xinyu Guo Qing 
supported by National Natural Science Foundation of China No.62231012;Natural Science Foundation for Outstanding Young Scholars of Heilongjiang Province under Grant YQ2020F001;Heilongjiang Province Postdoctoral General Foundation under Grant AUGA4110004923.
Low earth orbit(LEO)satellites with wide coverage can carry the mobile edge computing(MEC)servers with powerful computing capabilities to form the LEO satellite edge computing system,providing computing services for t...
关键词:computation offloading deep deterministic policy gradient low earth orbit satellite mobile edge computing resource allocation 
State-Incomplete Intelligent Dynamic Multipath Routing Algorithm in LEO Satellite Networks
《China Communications》2025年第2期1-11,共11页Peng Liang Wang Xiaoxiang 
The low Earth orbit(LEO)satellite networks have outstanding advantages such as wide coverage area and not being limited by geographic environment,which can provide a broader range of communication services and has bec...
关键词:deep deterministic policy gradient LEO satellite network message passing neuron network multipath routing 
Joint offloading decision and resource allocation in vehicular edge computing networks
《Digital Communications and Networks》2025年第1期71-82,共12页Shumo Wang Xiaoqin Song Han Xu Tiecheng Song Guowei Zhang Yang Yang 
supported by Future Network Scientific Research Fund Project (FNSRFP-2021-ZD-4);National Natural Science Foundation of China (No.61991404,61902182);National Key Research and Development Program of China under Grant 2020YFB1600104;Key Research and Development Plan of Jiangsu Province under Grant BE2020084-2。
With the rapid development of Intelligent Transportation Systems(ITS),many new applications for Intelligent Connected Vehicles(ICVs)have sprung up.In order to tackle the conflict between delay-sensitive applications a...
关键词:Computation offloading Resource allocation Vehicular edge computing Potential game Multi-agent deep deterministic policy gradient 
Deterministic quantum state and gate teleportation between distant superconducting chips
《Science Bulletin》2025年第3期351-358,共8页Jiawei Qiu Yang Liu Ling Hu Yukai Wu Jingjing Niu Libo Zhang Wenhui Huang Yuanzhen Chen Jian Li Song Liu Youpeng Zhong Luming Duan Dapeng Yu 
supported by the Key-Area Research and Development Program of Guangdong Province(2018B030326001);the National Natural Science Foundation of China(U1801661,12174178,12374471,12204228);the Guangdong Innovative and Entrepreneurial Research Team Program(2016ZT06D348);the Guangdong Provincial Key Laboratory(2019B121203002);the Science,Technology and Innovation Commission of Shenzhen Municipality(KYTDPT20181011104202253,KQTD20210811090049034,K21547502);the Shenzhen Science and Technology Program(RCYX20221008092907026);the Shenzhen-Hong Kong Cooperation Zone for Technology and Innovation(HZQB-KCZYB-2020050);the Natural Science Foundation of Beijing(Z190012);support from the Tsinghua University Initiative Scientific Research Program and the Ministry of Education of China.
Quantum teleportation is of both fundamental interest and great practical importance in quantum information science.To date,quantum teleportation has been implemented in various physical systems,among which supercondu...
关键词:Superconducting circuits Quantum network Quantum computing Flying microwave photon 
Short-Term Wind Speed Forecasts over the Pearl River Estuary:Numerical Model Evaluation and Deterministic Post-Processing
《Journal of Tropical Meteorology》2024年第4期390-404,共15页SUN Xian SUN Lei LIANG Xiu-ji SU Ye-kang HUANG Wen-min KANG Hong-ping XIA Dong 
Science and Technology Research Project of Guangdong Meteorological Service(GRMC2021M19,GRMC2022Q16,GRMC2023M29)。
The Pearl River Estuary(PRE)is one of China’s busiest shipping hubs and fishery production centers,as well as a region with abundant island tourism and wind energy resources,which calls for accurate short-term wind f...
关键词:Pearl River Estuary wind speed forecast numerical model evaluation bias correction multi-model ensemble 
Full-model-free Adaptive Graph Deep Deterministic Policy Gradient Model for Multi-terminal Soft Open Point Voltage Control in Distribution Systems
《Journal of Modern Power Systems and Clean Energy》2024年第6期1893-1904,共12页Huayi Wu Zhao Xu Minghao Wang Youwei Jia 
This work was supported by the National Natural Science Foundation of China(No.72331008);GuangdongNaturalScienceFoundation(No.2023A1515010653);Environment and Conservation fund(No.ECF 49/2022);PolyU research project 1-YXBL and CDAH.
High penetration of renewable energy sources(RESs)induces sharply-fluctuating feeder power,leading to volt-age deviation in active distribution systems.To prevent voltage violations,multi-terminal soft open points(M-s...
关键词:Soft open point graph attention graph convolutional network reinforcement learning voltage control distribution system deep deterministic policy gradient 
DetSpace:Distributed Congestion Free Routing for Global Deterministic Network in Mega-Constellations
《China Communications》2024年第12期203-216,共14页Li Jihao Li Hewu Lai Zeqi Wang Xiaomo 
This work is supported by National Key Research and Development Plan of China(2022YFB3105204).
Emerging long-range industrial IoT applications(e.g.,remote patient monitoring)have increasingly higher requirements for global deterministic delay.Although many existing methods have built deterministic networks in s...
关键词:congestion free deterministic network mega-constellations path diversity 
Deep reinforcement learning guidance with impact time control
《Journal of Systems Engineering and Electronics》2024年第6期1594-1603,共10页LI Guofei LI Shituo LI Bohao WU Yunjie 
supported by the National Natural Science Foundation of China(62003021,62373304);Industry-University-Research Innovation Fund for Chinese Universities(2021ZYA02009);Shaanxi Qinchuangyuan High-level Innovation and Entrepreneurship Talent Project(OCYRCXM-2022-136);Shaanxi Association for Science and Technology Youth Talent Support Program(XXJS202218);the Fundamental Research Funds for the Central Universities(D5000210830).
In consideration of the field-of-view(FOV)angle con-straint,this study focuses on the guidance problem with impact time control.A deep reinforcement learning guidance method is given for the missile to obtain the desi...
关键词:impact time deep reinforcement learning guidance law field-of-view(FOV)angle deep deterministic policy gradient 
MADDPG-based Active Distribution Network Dynamic Reconfiguration with Renewable Energy
《Protection and Control of Modern Power Systems》2024年第6期143-155,共13页Changxu Jiang Zheng Lin Chenxi Liu Feixiong Chen Zhenguo Shao 
supported by the Natural Science Foundation of Fujian Province(No.2022J0512 and No.2021J05134);the National Natural Science Foundation of China(No.52377087).
The integration of distributed generations(DG),such as wind turbines and photovoltaics,has a significant impact on the security,stability,and economy of the distribution network due to the randomness and fluctuations ...
关键词:Distribution network reconfiguration active distribution network deep deterministic policy gradient multi-agent deep reinforcement learning. 
Enhanced Deep Reinforcement Learning Strategy for Energy Management in Plug-in Hybrid Electric Vehicles with Entropy Regularization and Prioritized Experience Replay
《Energy Engineering》2024年第12期3953-3979,共27页Li Wang Xiaoyong Wang 
Plug-in Hybrid Electric Vehicles(PHEVs)represent an innovative breed of transportation,harnessing diverse power sources for enhanced performance.Energy management strategies(EMSs)that coordinate and control different ...
关键词:Plug-in hybrid electric vehicles deep reinforcement learning energy management strategy deep deterministic policy gradient entropy regularization prioritized experience replay 
检索报告 对象比较 聚类工具 使用帮助 返回顶部