MULTI-AGENT

作品数:981被引量:2487H指数:17
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相关领域:自动化与计算机技术更多>>
相关作者:蒋国瑞黄梯云赵书良杨神化杨乃定更多>>
相关机构:北京工业大学中南大学北京理工大学武汉理工大学更多>>
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相关基金:国家自然科学基金国家高技术研究发展计划国家教育部博士点基金国家社会科学基金更多>>
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MARCS:A Mobile Crowdsensing Framework Based on Data Shapley Value Enabled Multi-Agent Deep Reinforcement Learning
《Computers, Materials & Continua》2025年第3期4431-4449,共19页Yiqin Wang Yufeng Wang Jianhua Ma Qun Jin 
sponsored by Qinglan Project of Jiangsu Province,and Jiangsu Provincial Key Research and Development Program(No.BE2020084-1).
Opportunistic mobile crowdsensing(MCS)non-intrusively exploits human mobility trajectories,and the participants’smart devices as sensors have become promising paradigms for various urban data acquisition tasks.Howeve...
关键词:Mobile crowdsensing online data acquisition data Shapley value multi-agent deep reinforcement learning centralized training and decentralized execution(CTDE) 
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 
Optimal Distributed Dispatch of Smart Multi-Agent Energy Hubs Based on Consensus Algorithm Considering Lossy Communication Network and Uncertainty
《CSEE Journal of Power and Energy Systems》2025年第1期352-364,共13页Abdelfattah A.Eladl Magda I.El-Afifi Magdi M.El-Saadawi Bishoy E.Sedhom 
This paper proposes an IoT-Fog-Cloud distributed consensus algorithm for solving the energy hub(EH)dispatch problem with packet-dropping communication links and some of EH elements'uncertainties.Every generating and c...
关键词:Consensus algorithm CO_(2)emissions energy hubs multi-energy systems packet drops. 
Digital twin empowered lightweight and efficient blockchain for dynamic internet of vehicles
《Digital Communications and Networks》2024年第6期1698-1707,共10页Haoye Chai Supeng Leng Jianhua He Ke Zhang 
supported in part by the National Natural Science Foundation of China under Grant 62171104;the National Key Research and Development Program of China under Grant 2018YFE0117500;the Key Lab of Information Network Security under Grant C19603;in part by the EU H2020 Project COSAFE(MSCA-RISE-2018-824019)。
The Internet of Vehicles(Io V)has great potential for Intelligent Transportation Systems(ITS),enabling interactive vehicle applications,such as advanced driving and infotainment.It is crucial to ensure the reliability...
关键词:Digital twin Blockchain Internet of vehicles Multi-agent DDPG 
Automatic Generation Control in a Distributed Power Grid Based on Multi-step Reinforcement Learning
《Protection and Control of Modern Power Systems》2024年第4期39-50,共12页Wenmeng Zhao Tuo Zeng Zhihong Liu Lihui Xie Lei Xi Hui Ma 
supported by the National Natural Sci-ence Foundation of China(No.52277108);Guangdong Provincial Department of Science and Technology(No.2022A0505020015).
The increasing use of renewable energy in the power system results in strong stochastic disturbances and degrades the control performance of the distributed power grids.In this paper,a novel multi-agent collaborative ...
关键词:Automatic generation control Dyna framework distributed power grid MULTI-AGENT mod-el-based reinforcement learning 
Tactical reward shaping for large-scale combat by multi-agent reinforcement learning
《Journal of Systems Engineering and Electronics》2024年第6期1516-1529,共14页DUO Nanxun WANG Qinzhao LYU Qiang WANG Wei 
Future unmanned battles desperately require intelli-gent combat policies,and multi-agent reinforcement learning offers a promising solution.However,due to the complexity of combat operations and large size of the comb...
关键词:deep reinforcement learning multi-agent reinforce-ment learning multi-agent combat unmanned battle reward shaping 
Communication-robust multi-agent learning by adaptable auxiliary multi-agent adversary generation
《Frontiers of Computer Science》2024年第6期101-117,共17页Lei YUAN Feng CHEN Zongzhang ZHANG Yang YU 
the National Key R&D Program of China(2020AAA0107200);the National Natural Science Foundation of China(Grant Nos.61921006,61876119,62276126);the Natural Science Foundation of Jiangsu(BK20221442)。
Communication can promote coordination in cooperative Multi-Agent Reinforcement Learning(MARL).Nowadays,existing works mainly focus on improving the communication efficiency of agents,neglecting that real-world commun...
关键词:multi-agent communication adversarial training robustness validation reinforcement learning 
Multi-Agent Collaborative Task Planning with Uncertain Task Requirements
《Journal of Beijing Institute of Technology》2024年第5期361-373,共13页Jia Zhang Zexuan Jin Qichen Dong 
supported by the National Natural Science Foundation of China(No.61903036)。
In response to the uncertainty of information of the injured in post disaster situations,considering constraints such as random chance and the quantity of rescue resource,the split deliv-ery vehicle routing problem wi...
关键词:multi-agent collaboration task planning vehicle routing problem stochastic demands 
Development of Multi-Agent-Based Indoor 3D Reconstruction
《Computers, Materials & Continua》2024年第10期161-181,共21页Hoi Chuen Cheng Frederick Ziyang Hong Babar Hussain Yiru Wang Chik Patrick Yue 
supported by Bright Dream Robotics and the HKUSTBDR Joint Research Institute Funding Scheme under Project HBJRI-FTP-005(Automated 3D Reconstruction using Robot-mounted 360-Degree Camera with Visible Light Positioning Technology for Building Information Modelling Applications,OKT22EG06).
Large-scale indoor 3D reconstruction with multiple robots faces challenges in core enabling technologies.This work contributes to a framework addressing localization,coordination,and vision processing for multi-agent ...
关键词:Multi-agent system multi-robot human collaboration visible light communication visible light positioning 3D reconstruction reinforcement learning multi-agent path finding 
A Task Offloading Strategy Based on Multi-Agent Deep Reinforcement Learning for Offshore Wind Farm Scenarios
《Computers, Materials & Continua》2024年第10期985-1008,共24页Zeshuang Song Xiao Wang Qing Wu Yanting Tao Linghua Xu Yaohua Yin Jianguo Yan 
supported in part by the National Natural Science Foundation of China under grant 61861007;the Guizhou Province Science and Technology Planning Project ZK[2021]303;the Guizhou Province Science Technology Support Plan under grant[2022]264,[2023]096,[2023]409 and[2023]412;the Science Technology Project of POWERCHINA Guizhou Engineering Co.,Ltd.(DJ-ZDXM-2022-44);the Project of POWERCHINA Guiyang Engineering Corporation Limited(YJ2022-12).
This research is the first application of Unmanned Aerial Vehicles(UAVs)equipped with Multi-access Edge Computing(MEC)servers to offshore wind farms,providing a new task offloading solution to address the challenge of...
关键词:Offshore wind MEC task offloading MADRL AGA-DDPG 
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