Výsledky vyhľadávania - "multi-agent reinforcement learning algorithm"

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  1. 1

    Multi-agent reinforcement learning vibration control and trajectory planning of a double flexible beam coupling system Autor Qiu, Zhi-cheng, Hu, Jun-fei, Zhang, Xian-min

    ISSN: 0888-3270, 1096-1216
    Vydavateľské údaje: Elsevier Ltd 01.10.2023
    “…[Display omitted] •A coupling system of moving double flexible beams is designed, FEM is obtained.•Wavelet function and FOA are used to identify the model…”
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    Journal Article
  2. 2

    A Method for Joint Edge Server Deployment and Service Placement Autor ZHANG Junna, HAN Chaochen, CHEN Jiawei, ZHAO Xiaoyan, YUAN Peiyan

    ISSN: 1000-3428
    Vydavateľské údaje: Editorial Office of Computer Engineering 15.10.2024
    Vydané v Ji suan ji gong cheng (15.10.2024)
    “…Edge Computing (EC) deploys Edge Servers (ES) at the edge of the network close to the user. Services are placed on the ES to meet users' service needs. Several…”
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  3. 3

    A reactive power optimization partially observable Markov decision process with data uncertainty using multi-agent actor-attention-critic algorithm Autor Gu, Yaru, Huang, Xueliang

    ISSN: 0142-0615, 1879-3517
    Vydavateľské údaje: Elsevier Ltd 01.05.2023
    “…•A novel POMDP modelling method for reactive power optimization of the ADN which fills the gap in the solution to the optimization problem with significant…”
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  4. 4

    Integration of multi agent reinforcement learning with golden jackal optimization for predicting average localization error in wireless sensor networks Autor Prabha, K. Lakshmi, Mengash, Hanan Abdullah, Alqahtani, Hamed, Allafi, Randa

    ISSN: 2045-2322, 2045-2322
    Vydavateľské údaje: London Nature Publishing Group UK 24.07.2025
    Vydané v Scientific reports (24.07.2025)
    “…Wireless Sensor Networks (WSNs) used in modern applications like environmental monitoring, smart cities, and healthcare systems depend on accurate sensor node…”
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  5. 5

    A cooperative jamming mode adjustment method based on Multi-Agent reinforcement learning Autor Wang, Jieling, Liu, Yanfei, Li, Chao, Yang, Dongdong, Yin, Qingshan

    ISSN: 2090-4479
    Vydavateľské údaje: Elsevier B.V 01.11.2025
    Vydané v Ain Shams Engineering Journal (01.11.2025)
    “…With the advancement of multifunctional netted radar systems (NRS), traditional jamming decision-making strategies struggle to adapt to the nonlinear…”
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  6. 6

    Admission control policy and key agreement based on anonymous identity in cloud computing Autor Paulraj, D., Neelakandan, S., Prakash, M., Baburaj, E.

    ISSN: 2192-113X, 2192-113X
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2023
    “…Cloud computing has completely revolutionized the concept of computing by providing users with always-accessible resources. In terms of computational, storage,…”
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  7. 7

    Research on Self-Decision Control Strategy in Distributed Photovoltaic Intelligent Monitoring Device Autor Lei, Tinghao, Cai, Xinya, Wu, Yang, Guo, Yingjie, Li, Yao

    ISSN: 2831-4549
    Vydavateľské údaje: IEEE 27.12.2024
    “…This study proposes an intelligent monitoring self-decision control strategy based on multi-agent reinforcement learning algorithm for distributed photovoltaic…”
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  8. 8

    Research on Intelligent Lane Changing Control System for Assisted Autonomous Driving Vehicles of Different Styles Autor Dai, Jiarong, Wang, Jinsheng, Lv, Yuanyuan, Zheng, Rui, Chen, Fengyue, Wu, Liping

    ISSN: 2833-8413
    Vydavateľské údaje: IEEE 28.11.2024
    “…A kind of intelligent lane change control system based on MAS is presented. This system simulates the interaction of several autonomous driving vehicles, and…”
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  9. 9

    A hybrid multi-agent deep actor-critic learning and particle swarm optimization algorithm for active voltage control in smart grids with renewable energies Autor Nazari, Elham, Nazari, Negar, Hosseini Semnani, Samaneh, Ahmadzadeh, Mohammad Reza

    ISSN: 2772-6711, 2772-6711
    Vydavateľské údaje: Elsevier Ltd 01.09.2025
    Vydané v e-Prime (01.09.2025)
    “…•This paper presents a novel hybrid Multi-Agent Reinforcement Learning (MARL) and Particle Swarm Optimization (PSO) framework for active voltage control in…”
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