Výsledky vyhledávání - "Deep deterministic strategy gradient algorithm"

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  1. 1

    Microgrid Optimization Strategy for Charging and Swapping Power Stations with New Energy Based on Multi-Agent Reinforcement Learning Autor Sun, Hongbin, Duan, Zhenyu, Yang, Anyun

    ISSN: 2071-1050, 2071-1050
    Vydáno: Basel MDPI AG 01.12.2024
    Vydáno v Sustainability (01.12.2024)
    “…Aiming at the coordinated control of charging and swapping loads in complex environments, this research proposes an optimization strategy for microgrids with…”
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    Journal Article
  2. 2

    Trust Recommendation Based on Deep Deterministic Strategy Gradient Algorithm Autor Li, Yu, Tong, Xiangrong

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2022
    Vydáno v IEEE access (2022)
    “…Trust recommendation is a vital recommendation system application based on social networks. It can recommend items based on the trust between users, which can…”
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    Journal Article
  3. 3

    Optimization of Hydraulic Robot Arm Motion Control Algorithm Based on Neural Network Algorithm Autor Chen, Zhiliang, Li, Shuai, Zhu, Kaixiong, Li, Shilin, Chen, Huiyuan

    Vydáno: IEEE 24.05.2024
    “…The optimization of motion control algorithm can effectively improve the performance of robotic arms, which is of great significance to promote the application…”
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  4. 4

    A control method for intelligent loading and unloading machinery equipment based on improved deep deterministic strategy gradient algorithm Autor Gong, Yuping, Li, Jinjin, Qing, Baiyuan, Pan, Xuehua

    Vydáno: IEEE 14.06.2024
    “…Due to the highly nonlinear, time-varying, and uncertain working environment of robotic arms, their dynamic behavior is complex. Traditional control methods…”
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  5. 5

    Park Oriented Energy Event Linkage Management Strategy Autor Xu, Zhenbin, Wang, Chengkai, Dong, Chunhai, Rao, Chaodong

    Vydáno: IEEE 21.07.2023
    “…The economy and energy conservation of energy conservation management in industrial parks are the hot issues at present. As an important energy load user, its…”
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