Search Results - 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 by Zhou, Yatong, Kong, Xiaoran, Lin, Kuo-Ping, Liu, Liangyu

    ISSN: 0950-7051, 1872-7409
    Published: Elsevier B.V 05.03.2024
    Published in 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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    Journal Article
  2. 2

    A Pursuit Strategy for Multi-Agent Pursuit-Evasion Game via Multi-Agent Deep Deterministic Policy Gradient Algorithm by Ye, Jianfeng, Wang, Qing, Ma, Bei, Wu, Yongbao, Xue, Lei

    ISSN: 2771-7372
    Published: 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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    Conference Proceeding
  3. 3

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

    ISSN: 0306-2619, 1872-9118
    Published: Elsevier Ltd 01.07.2022
    Published in 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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    Journal Article
  4. 4

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

    ISSN: 2444-8656, 2444-8656
    Published: Beirut Sciendo 01.01.2024
    Published in Applied mathematics and nonlinear sciences (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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    Journal Article
  5. 5

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

    ISSN: 1110-0168
    Published: Elsevier B.V 01.04.2025
    Published in 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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    Journal Article
  6. 6

    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 by Ghamari, Seyyed Morteza, Habibi, Daryoush, Aziz, Asma

    ISSN: 1996-1073, 1996-1073
    Published: Basel MDPI AG 01.06.2025
    Published in 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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    Journal Article
  7. 7
  8. 8

    Research on the influence of multi-agent deep deterministic policy gradient algorithm key parameters in typical scenarios by Lu, Junsong, Wang, Zongsheng, Pan, Kang, Zhang, Hanshuo

    ISSN: 1742-6588, 1742-6596
    Published: Bristol IOP Publishing 01.10.2024
    Published in 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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    Journal Article
  9. 9

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

    ISSN: 2352-4847, 2352-4847
    Published: Elsevier Ltd 01.11.2022
    Published in 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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    Journal Article
  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 by Jiang, Yuzheng, Dong, Jun, Huang, Hexiang

    ISSN: 0360-5442
    Published: Elsevier Ltd 15.10.2024
    Published in 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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    Journal Article
  11. 11

    Fire Evacuation Path Planning Based on Improved MADDPG (Multi-Agent Deep Deterministic Policy Gradient) Algorithm by Huang, Qiong, Si, Ying, Wang, Haoyu

    ISSN: 2158-107X, 2156-5570
    Published: 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
  12. 12

    Optimal demand response based dynamic pricing strategy via Multi-Agent Federated Twin Delayed Deep Deterministic policy gradient algorithm by Ma, Haining, Zhang, Huifeng, Tian, Ding, Yue, Dong, Hancke, Gerhard P.

    ISSN: 0952-1976, 1873-6769
    Published: Elsevier Ltd 01.07.2024
    “…(TD3) policy gradient algorithm is proposed to construct a federated learning mechanism among multi agents…”
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    Journal Article
  13. 13

    ERA-MADDPG: An Elastic Routing Algorithm Based on Multi-Agent Deep Deterministic Policy Gradient in SDN by Huang, Wanwei, Liu, Hongchang, Li, Yingying, Ma, Linlin

    ISSN: 1999-5903, 1999-5903
    Published: Basel MDPI AG 01.07.2025
    Published in 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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    Journal Article
  14. 14

    Improved Multi-Agent Deep Deterministic Policy Gradient for Path Planning-Based Crowd Simulation by Zheng, Shangfei, Liu, Hong

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2019
    Published in 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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    Journal Article
  15. 15

    Coordinated load frequency control of multi-area integrated energy system using multi-agent deep reinforcement learning by Li, Jiawen, Yu, Tao, Zhang, Xiaoshun

    ISSN: 0306-2619, 1872-9118
    Published: Elsevier Ltd 15.01.2022
    Published in 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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    Journal Article
  16. 16

    Scalable path planning algorithm for multi-Unmanned Surface Vehicles based on Multi-Agent Deep Deterministic Policy Gradient by Gao, Qiang, Li, Shuhao, Ji, Yuehui, Liu, Junjie, Song, Yu

    ISSN: 0029-8018
    Published: Elsevier Ltd 15.03.2025
    Published in 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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    Journal Article
  17. 17

    Research on Bidding Strategy of Thermal Power Companies in Electricity Market Based on Multi-Agent Deep Deterministic Policy Gradient by Liu, Dunnan, Gao, Yuan, Wang, Weiye, Dong, Zhixin

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2021
    Published in 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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    Journal Article
  18. 18

    Grid-area coordinated load frequency control strategy using large-scale multi-agent deep reinforcement learning by Li, Jiawen, Geng, Jian, Yu, Tao

    ISSN: 2352-4847, 2352-4847
    Published: Elsevier Ltd 01.11.2022
    Published in 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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    Journal Article
  19. 19

    Coordinated automatic generation control of interconnected power system with imitation guided exploration multi-agent deep reinforcement learning by Li, Jiawen, Yu, Tao, Zhang, Xiaoshun

    ISSN: 0142-0615, 1879-3517
    Published: 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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    Journal Article
  20. 20

    A TD3-based multi-agent deep reinforcement learning method in mixed cooperation-competition environment by Zhang, Fengjiao, Li, Jie, Li, Zhi

    ISSN: 0925-2312, 1872-8286
    Published: Elsevier B.V 21.10.2020
    Published in Neurocomputing (Amsterdam) (21.10.2020)
    “… This paper proposes a new multi-agent deep reinforcement learning algorithm framework named multi-agent time delayed deep deterministic policy gradient…”
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    Journal Article