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作品数：60被引量：74H指数：3
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相关领域：自动化与计算机技术文化科学更多>>
相关作者：田野项世军宋晓宁姚凯徐道生更多>>
相关机构：中国科学院大学中国科学院暨南大学上海东方传媒技术有限公司更多>>
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相关基金：国家自然科学基金中国博士后科学基金信息安全国家重点实验室开放基金江苏省自然科学基金更多>>
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Prioritization Hindsight Experience Based on Spatial Position Attention for Robots
《Machine Intelligence Research》2025年第1期160-175,共16页Ye Yuan Yu Sha Feixiang Sun Haofan Lu Shuiping Gou Jie Luo 
supported by the Natural Science Foundation of Shaanxi Province,China(No.2022JQ-661);the Project of Science and Technology Development Plan in Hangzhou,China(No.202202B38);the Xidian-FIAS International Joint Research Center,China.
Sparse rewards pose significant challenges in deep reinforcement learning as agents struggle to learn from experiences with limited reward signals.Hindsight experience replay(HER)addresses this problem by creating“sm...
关键词：Hindsight experience replay spatial position attention sparse reward deep reinforcement learning prioritization hindsight experience 
Distributed optimal consensus control for multiagent systems based on event-triggered and prioritized experience replay strategies
《Science China(Information Sciences)》2025年第1期303-318,共16页Cuijuan ZHANG Lianghao JI Shasha YANG Xing GUO Huaqing LI 
supported in part by National Natural Science Foundation of China(Grant Nos.62276036,62221005,62006031);Major Project of Scientific and Technological Research Program of Chongqing Municipal Education Commission(Grant No.KJZD-M202100602);Project of Natural Science Foundation of Chongqing(Grant Nos.cstc2021jcyj-msxmX1043,CSTB2024NSCQ-LZX0118);Anhui Provincial Research Programming Project(Grant Nos.2022AH051039,2022AH051054);Doctoral Talent Training Project of Chongqing University of Posts and Telecommunications(Grant No.BYJS202210).
This study uses event-triggered(ET)and reinforcement learning methods to investigate the optimal consensus control problem for cooperative-competitive multiagent systems.It proposes a novel distributed ET control stra...
关键词：multiagent systems event-triggered mechanism prioritized experience replay dual-structured neural networks optimal consensus control 
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 
Deep-reinforcement-learning-based UAV autonomous navigation and collision avoidance in unknown environments被引量：2
《Chinese Journal of Aeronautics》2024年第3期237-257,共21页Fei WANG Xiaoping ZHU Zhou ZHOU Yang TANG 
In some military application scenarios,Unmanned Aerial Vehicles(UAVs)need to perform missions with the assistance of on-board cameras when radar is not available and communication is interrupted,which brings challenge...
关键词：Faster R-CNN model Replay memory Data Deposit Mechanism(DDM) Two-part training approach Image-based Autonomous Navigation and Collision Avoidance(ANCA) Unmanned Aerial Vehicle(UAV) 
An Innovative Approach Using TKN-Cryptology for Identifying the Replay Assault
《Computers, Materials & Continua》2024年第1期589-616,共28页Syeda Wajiha Zahra Muhammad Nadeem Ali Arshad Saman Riaz Muhammad Abu Bakr Ashit Kumar Dutta Zaid Alzaid Badr Almutairi Sultan Almotairi 
Deanship of Scientific Research at Majmaah University for supporting this work under Project Number R-2023-811.
Various organizations store data online rather than on physical servers.As the number of user’s data stored in cloud servers increases,the attack rate to access data from cloud servers also increases.Different resear...
关键词：Replay attack MALWARE message attack file encryption CRYPTOLOGY data security 
浅谈Multiple Replay自由视角在体育赛事上的应用被引量：1
《现代电视技术》2023年第11期93-97,共5页梁均浩 
在视频直播制作过程中,为达到更好的视觉效果,360°快速动、静态“时间凝结”的画面会让视觉效果更为丰富。本文通过自由视角环绕拍摄的应用实例介绍自由视角拍摄系统。通过视频帧采集、帧对齐、多机位帧画面矫正、动画效果渲染等处理技...
关键词：360°视频画面 Multiple Replay 自由视角 多机位拍摄 
IAU-Replay初始化方法在华南暖区暴雨模拟中的应用研究
《气象科学》2023年第5期600-611,共12页陈浩伟 徐道生 高翠翠 乐迁 刘涛 张邦林 
广东省水利科技创新项目(2022-01);国家自然科学基金资助项目(U1811464,42075014);中国气象局/广东省区域数值天气预报重点实验室开放基金(J201803,J202007);广东省自然科学基金资助项目(2021A1515011539);广东省区域联合基金-青年基金(2021A1515110944);广东省“珠江人才计划”引进创新创业团队(2019ZT08G669)。
基于TRAMS(Tropical Regional Atmospheric Model System)区域模式和ECMWF(European Centre for Medium-range Weather Forecasting)全球分析场资料,对一次华南暖区暴雨过程进行IAU-Replay模拟试验。由于本次个例模拟试验的分析时刻ECMW...
关键词：分析增量更新初始化 暖区暴雨 SPIN-UP 初值平衡 
A Data-Based Feedback Relearning Algorithm for Uncertain Nonlinear Systems被引量：1
《IEEE/CAA Journal of Automatica Sinica》2023年第5期1288-1303,共16页Chaoxu Mu Yong Zhang Guangbin Cai Ruijun Liu Changyin Sun 
supported in part by the National Key Research and Development Program of China(2021YFB1714700);the National Natural Science Foundation of China(62022061,6192100028)。
In this paper,a data-based feedback relearning algorithm is proposed for the robust control problem of uncertain nonlinear systems.Motivated by the classical on-policy and off-policy algorithms of reinforcement learni...
关键词：Data episodes experience replay neural networks reinforcement learning(RL) uncertain systems 
Imaginary filtered hindsight experience replay for UAV tracking dynamic targets in large-scale unknown environments被引量：2
《Chinese Journal of Aeronautics》2023年第5期377-391,共15页Zijian HU Xiaoguang GAO Kaifang WAN Neretin EVGENY Jinliang LI 
co-supported by the National Natural Science Foundation of China(Nos.62003267 and 61573285);the Natural Science Basic Research Plan in Shaanxi Province of China(No.2020JQ-220);the Open Project of Science and Technology on Electronic Information Control Laboratory,China(No.JS20201100339);the Open Project of Science and Technology on Electromagnetic Space Operations and Applications Laboratory,China(No.JS20210586512).
As an advanced combat weapon,Unmanned Aerial Vehicles(UAVs)have been widely used in military wars.In this paper,we formulated the Autonomous Navigation Control(ANC)problem of UAVs as a Markov Decision Process(MDP)and ...
关键词：Artificial intelligence Autonomous navigation control Deep reinforcement learning Hindsight experience replay UAV 
Sampled-data control through model-free reinforcement learning with effective experience replay被引量：2
《Journal of Automation and Intelligence》2023年第1期20-30,共11页Bo Xiao H.K.Lam Xiaojie Su Ziwei Wang Frank P.-W.Lo Shihong Chen Eric Yeatman 
supported by Imperial College London,UK,King’s College London,UK and Engineering and Physical Sciences Research Council(EPSRC),UK.
Reinforcement Learning(RL)based control algorithms can learn the control strategies for nonlinear and uncertain environment during interacting with it.Guided by the rewards generated by environment,a RL agent can lear...
关键词：Reinforcement learning Neural networks Sampled-data control MODEL-FREE Effective experience replay 
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