云南高校图书馆联盟文献共享服务平台- MULTI-AGENT

MULTI-AGENT: 作品数：981被引量：2487H指数：17; 导出分析报告; 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>>; 相关期刊：更多>>; 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>>

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

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

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

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

Regional Multi-Agent Cooperative Reinforcement Learning for City-Level Traffic Grid Signal Control: 《IEEE/CAA Journal of Automatica Sinica》2024年第9期1987-1998,共12页Yisha Li Ya Zhang Xinde Li Changyin Sun; supported by the National Science and Technology Major Project (2021ZD0112702);the National Natural Science Foundation (NNSF)of China (62373100,62233003);the Natural Science Foundation of Jiangsu Province of China (BK20202006)。; This article studies the effective traffic signal control problem of multiple intersections in a city-level traffic system.A novel regional multi-agent cooperative reinforcement learning algorithm called RegionSTLight...; 关键词：Human-machine cooperation mixed domain attention mechanism multi-agent reinforcement learning spatio-temporal feature traffic signal control

Multi-agent policy transfer via task relationship modeling: 《Science China(Information Sciences)》2024年第8期98-110,共13页Rongjun QIN Feng CHEN Tonghan WANG Lei YUAN Xiaoran WU Yipeng KANG Zongzhang ZHANG Chongjie ZHANG Yang YU; supported in part by National Key Research and Development Program of China(Grant No.2020AAA0107200);National Natural Science Foundation of China(Grant Nos.61876119,61921006);Natural Science Foundation of Jiangsu(GrantNo.BK20221442)。; Team adaptation to new cooperative tasks is a hallmark of human intelligence,which has yet to be fully realized in learning agents.Previous studies on multi-agent transfer learning have accommodated teams of different...; 关键词：multi-agent reinforcement learning cooperative transfer learning task relationship modeling multi-agent policy reuse multi-agent multi-task learning

Distributed Heterogeneous Multi-Agent Optimization with Stochastic Sub-Gradient: 《Journal of Systems Science & Complexity》2024年第4期1470-1487,共18页HU Haokun MO Lipo CAO Xianbing; supported by the National Natural Science Foundation of China under Grant No.61973329;National Key Technology R&D Program of China under Grant No.2021YFD2100605;Project of Beijing Municipal University Teacher Team Construction Support Plan under Grant No.BPHR20220104。; This paper studies the optimization problem of heterogeneous networks under a timevarying topology.Each agent only accesses to one local objective function,which is nonsmooth.An improved algorithm with noisy measureme...; 关键词：Communication noises distributed stochastic optimization heterogeneous networks subgradient measurement noises

Multi-agent evaluation for energy management by practically scalingα-rank: 《Frontiers of Information Technology & Electronic Engineering》2024年第7期1003-1016,共14页Yiyun SUN Senlin ZHANG Meiqin LIU Ronghao ZHENG Shanling DONG Xuguang LAN; the National Key R&D Program of China(No.2021ZD0112700);the Zhejiang Provincial Natural Science Foundation of China(No.LZ22F030006);the Fundamental Research Funds for the Central Universities,China(No.xtr072022001)。; Currently,decarbonization has become an emerging trend in the power system arena.However,the increasing number of photovoltaic units distributed into a distribution network may result in voltage issues,providing chall...; 关键词：Energy management Multi-agent deep reinforcement learning Strategy evaluation Power grid system

Mathematics of multi-agent learning systems at the interface of game theory and artificial intelligence: 《Science China(Information Sciences)》2024年第6期441-443,共3页Long WANG Feng FU Xingru CHEN; supported by National Natural Science Foundation of China(Grant No.62036002);Beijing Natural Science Foundation(Grant No.1244045)。; Evolutionary game theory(EGT)and artificial intelligence(AI)are two fields that,at first glance,might seem distinct,but they have notable connections and intersections.The former focuses on the evolution of behaviors(...; 关键词：STRATEGIES THEORY AGENT

MADRL-based UAV swarm non-cooperative game under incomplete information: 《Chinese Journal of Aeronautics》2024年第6期293-306,共14页Ershen WANG Fan LIU Chen HONG Jing GUO Lin ZHAO Jian XUE Ning HE; supported by the National Key R&D Program of China(No.2018AAA0100804);the National Natural Science Foundation of China(No.62173237);the Academic Research Projects of Beijing Union University,China(Nos.SK160202103,ZK50201911,ZK30202107,ZK30202108);the Song Shan Laboratory Foundation,China(No.YYJC062022017);the Applied Basic Research Programs of Liaoning Province,China(Nos.2022020502-JH2/1013,2022JH2/101300150);the Special Funds program of Civil Aircraft,China(No.01020220627066);the Special Funds program of Shenyang Science and Technology,China(No.22-322-3-34).; Unmanned Aerial Vehicles(UAVs)play increasing important role in modern battlefield.In this paper,considering the incomplete observation information of individual UAV in complex combat environment,we put forward an UAV...; 关键词：UAV swarm Reinforcement learning Deep learning MULTI-AGENT Non-cooperative game Nash equilibrium

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