Výsledky vyhledávání - multi agent deep deterministic policy gradient algorithm

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  1. 1

    Novel task decomposed multi-agent twin delayed deep deterministic policy gradient algorithm for multi-UAV autonomous path planning Autor Zhou, Yatong, Kong, Xiaoran, Lin, Kuo-Ping, Liu, Liangyu

    ISSN: 0950-7051, 1872-7409
    Vydáno: Elsevier B.V 05.03.2024
    Vydáno v Knowledge-based systems (05.03.2024)
    “… This study proposed the novel task decomposed multi-agent twin delayed deep deterministic policy gradient (TD-MATD3…”
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    A Pursuit Strategy for Multi-Agent Pursuit-Evasion Game via Multi-Agent Deep Deterministic Policy Gradient Algorithm Autor Ye, Jianfeng, Wang, Qing, Ma, Bei, Wu, Yongbao, Xue, Lei

    ISSN: 2771-7372
    Vydáno: IEEE 28.10.2022
    “… Then, we modify the multi-agent deep deterministic policy gradient (MADDPG) algorithm for seeking the Nash equilibrium…”
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  3. 3

    Multi-agent deep deterministic policy gradient algorithm for peer-to-peer energy trading considering distribution network constraints Autor Samende, Cephas, Cao, Jun, Fan, Zhong

    ISSN: 0306-2619, 1872-9118
    Vydáno: Elsevier Ltd 01.07.2022
    Vydáno v Applied energy (01.07.2022)
    “… To address the challenge, we first formulate the above problem as a Markov decision process and propose a multi-agent deep deterministic policy gradient algorithm to learn optimal energy trading decisions…”
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  4. 4

    Multi-Microgrid Energy Trading Strategy Based on Multi-Agent Deep Deterministic Policy Gradient Algorithm Autor Qi, Genhong, Fu, Lingxiao, Wang, Meng, Zhu, Mingcheng, Yuan, Shaoqing, Xu, Jiang

    ISSN: 2444-8656, 2444-8656
    Vydáno: Beirut Sciendo 01.01.2024
    “… while ensuring information independence. Considering the real-time changes in environmental transition functions and complex scheduling scenarios, the multi-agent deep deterministic policy gradient (MADDPG…”
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  5. 5

    Simulation optimization of highway hard shoulder running based on multi-agent deep deterministic policy gradient algorithm Autor Hu, Lipeng, Tang, Jinjun, Zou, Guoqing, Li, Zhitao, Zeng, Jie, Li, Mingyang

    ISSN: 1110-0168
    Vydáno: Elsevier B.V 01.04.2025
    Vydáno v Alexandria engineering journal (01.04.2025)
    “… To tackle this issue, the Multi-Agent Deep Deterministic Policy Gradient with spatio-temporal constraints (STC-MADDPG…”
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    Robust Adaptive Fractional-Order PID Controller Design for High-Power DC-DC Dual Active Bridge Converter Enhanced Using Multi-Agent Deep Deterministic Policy Gradient Algorithm for Electric Vehicles Autor Ghamari, Seyyed Morteza, Habibi, Daryoush, Aziz, Asma

    ISSN: 1996-1073, 1996-1073
    Vydáno: Basel MDPI AG 01.06.2025
    Vydáno v Energies (Basel) (01.06.2025)
    “…The Dual Active Bridge converter (DABC), known for its bidirectional power transfer capability and high efficiency, plays a crucial role in various…”
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    Research on the influence of multi-agent deep deterministic policy gradient algorithm key parameters in typical scenarios Autor Lu, Junsong, Wang, Zongsheng, Pan, Kang, Zhang, Hanshuo

    ISSN: 1742-6588, 1742-6596
    Vydáno: Bristol IOP Publishing 01.10.2024
    Vydáno v Journal of physics. Conference series (01.10.2024)
    “…The MADDPG algorithm is widely used and relatively complete, but there is no intuitive data support for the values of some key parameters…”
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  9. 9

    Optimal operation of regional integrated energy system based on multi-agent deep deterministic policy gradient algorithm Autor Xu, Bohan, Xiang, Yue

    ISSN: 2352-4847, 2352-4847
    Vydáno: Elsevier Ltd 01.11.2022
    Vydáno v Energy reports (01.11.2022)
    “… Therefore, an optimal operation method based on the multi-agent deep deterministic policy gradient algorithm (MADDPG) is proposed…”
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  10. 10

    Optimal bidding strategy for the price-maker virtual power plant in the day-ahead market based on multi-agent twin delayed deep deterministic policy gradient algorithm Autor Jiang, Yuzheng, Dong, Jun, Huang, Hexiang

    ISSN: 0360-5442
    Vydáno: Elsevier Ltd 15.10.2024
    Vydáno v Energy (Oxford) (15.10.2024)
    “… The multi-agent twin delayed deep deterministic policy gradient (MATD3) algorithm is used to solve the problem of price-maker VPP participation in the day-ahead (DA) market…”
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    Fire Evacuation Path Planning Based on Improved MADDPG (Multi-Agent Deep Deterministic Policy Gradient) Algorithm Autor Huang, Qiong, Si, Ying, Wang, Haoyu

    ISSN: 2158-107X, 2156-5570
    Vydáno: West Yorkshire Science and Information (SAI) Organization Limited 2024
    “… (Adjacency Multi-agent Deep Deterministic Policy Gradient) model suitable for fire evacuation is proposed…”
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    Journal Article
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    Optimal demand response based dynamic pricing strategy via Multi-Agent Federated Twin Delayed Deep Deterministic policy gradient algorithm Autor Ma, Haining, Zhang, Huifeng, Tian, Ding, Yue, Dong, Hancke, Gerhard P.

    ISSN: 0952-1976, 1873-6769
    Vydáno: Elsevier Ltd 01.07.2024
    “…(TD3) policy gradient algorithm is proposed to construct a federated learning mechanism among multi agents…”
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    ERA-MADDPG: An Elastic Routing Algorithm Based on Multi-Agent Deep Deterministic Policy Gradient in SDN Autor Huang, Wanwei, Liu, Hongchang, Li, Yingying, Ma, Linlin

    ISSN: 1999-5903, 1999-5903
    Vydáno: Basel MDPI AG 01.07.2025
    Vydáno v Future internet (01.07.2025)
    “…To address the fact that changes in network topology can have an impact on the performance of routing, this paper proposes an Elastic Routing Algorithm based on Multi-Agent Deep Deterministic Policy Gradient (ERA-MADDPG…”
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    Improved Multi-Agent Deep Deterministic Policy Gradient for Path Planning-Based Crowd Simulation Autor Zheng, Shangfei, Liu, Hong

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2019
    Vydáno v IEEE access (2019)
    “…Deep reinforcement learning (DRL) has been proved to be more suitable than reinforcement learning for path planning in large-scale scenarios…”
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    Scalable path planning algorithm for multi-Unmanned Surface Vehicles based on Multi-Agent Deep Deterministic Policy Gradient Autor Gao, Qiang, Li, Shuhao, Ji, Yuehui, Liu, Junjie, Song, Yu

    ISSN: 0029-8018
    Vydáno: Elsevier Ltd 15.03.2025
    Vydáno v Ocean engineering (15.03.2025)
    “… Based on the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) framework, a multi-USV path planning algorithm is proposed…”
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    Coordinated load frequency control of multi-area integrated energy system using multi-agent deep reinforcement learning Autor Li, Jiawen, Yu, Tao, Zhang, Xiaoshun

    ISSN: 0306-2619, 1872-9118
    Vydáno: Elsevier Ltd 15.01.2022
    Vydáno v Applied energy (15.01.2022)
    “…), is constructed among different areas during load frequency control (LFC). Furthermore, an evolutionary imitation curriculum multi-agent deep deterministic policy gradient (EIC-MADDPG…”
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    Research on Bidding Strategy of Thermal Power Companies in Electricity Market Based on Multi-Agent Deep Deterministic Policy Gradient Autor Liu, Dunnan, Gao, Yuan, Wang, Weiye, Dong, Zhixin

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2021
    Vydáno v IEEE access (2021)
    “…With the continuous improvement of new energy penetration in the power system, the price of the spot market of power frequently fluctuates greatly, which…”
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    Grid-area coordinated load frequency control strategy using large-scale multi-agent deep reinforcement learning Autor Li, Jiawen, Geng, Jian, Yu, Tao

    ISSN: 2352-4847, 2352-4847
    Vydáno: Elsevier Ltd 01.11.2022
    Vydáno v Energy reports (01.11.2022)
    “… by dispatching centers in secondary frequency regulation. In addition, an effective exploration-based multi-agent deep deterministic policy gradient (EE-MADDPG…”
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    Multi-agent Cooperative Algorithm for Obstacle Clearance Based on Deep Deterministic Policy Gradient and Attention Critic Autor Wang, Xianwei, Feng, Xiang, Yu, Huiqun

    ISSN: 1002-137X
    Vydáno: Chongqing Guojia Kexue Jishu Bu 01.07.2024
    Vydáno v Ji suan ji ke xue (01.07.2024)
    “… are scarce.To address the issue of multi-agent obstacle clearance, a multi-agent cooperative algorithm for obstacle clearance based on deep deterministic policy gradient and attention Critic(MACOC…”
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    Coordinated automatic generation control of interconnected power system with imitation guided exploration multi-agent deep reinforcement learning Autor Li, Jiawen, Yu, Tao, Zhang, Xiaoshun

    ISSN: 0142-0615, 1879-3517
    Vydáno: Elsevier Ltd 01.03.2022
    “… The tuner of each adaptive proportional-integral (PI) controller adopts an imitation guided-exploration multi-agent twin-delayed deep deterministic policy gradient (IGE-MATD3…”
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