Výsledky vyhledávání - "Multi-agent deep deterministic policy gradient algorithm"

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

“… 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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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

“…To alleviate traffic congestion and reduce vehicle emissions, the use of hard shoulder running (HSR) has emerged as a sustainable and cost-effective active…”
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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

“…The MADDPG algorithm is widely used and relatively complete, but there is no intuitive data support for the values of some key parameters. Therefore, the…”
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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

“…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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A multi-agent deep deterministic policy gradient algorithm integrated with the A algorithm for multiple-equipment integrated scheduling in automated container terminals Autor Li, Jun, Xiao, Hanping, Liu, Zhixiong

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

“… Therefore, an optimal operation method based on the multi-agent deep deterministic policy gradient algorithm (MADDPG) is proposed…”
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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

“…The lack of a scientific and reasonable optimal evacuation path planning scheme is one of the main causes of casualties in fire accidents. In addition to the…”
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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

“…Compared to individual microgrid, multi-microgrid (MMG) system can enhance the overall utilization of renewable energy, effectively improve the operational…”
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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

“…This paper studies a classical pursuit-evasion problem. The pursuer attempts to capture the faster evader in a bounded area. The velocity of evader is 1.2…”
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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

“…In order to enable full participation of high-performance units controlled by different dispatching centers in the performance-based frequency regulation…”
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Improved Multi-Agent Deep Deterministic Policy Gradient for Path Planning-Based Crowd Simulation Autor Zheng, Shangfei, Liu, Hong

“…Deep reinforcement learning (DRL) has been proved to be more suitable than reinforcement learning for path planning in large-scale scenarios. In order to more…”
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基于多智能体深度强化学习的无人艇集群博弈对抗研究 Autor 于长东, 刘新阳, 陈聪, 刘殿勇, 梁霄

“…TJ630%U664.82; 基于未来现代化海上作战背景,提出了利用多智能体深度强化学习方案来完成无人艇群博弈对抗中的协同围捕任务.首先,根据不同的作战模式和应用场景,提出基于分…”
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Research on Game Confrontation of Unmanned Surface Vehicles Swarm Based on Multi-Agent Deep Reinforcement Learning Autor Changdong YU, Xinyang LIU, Cong CHEN, Dianyong LIU, Xiao LIANG

“… of unmanned surface vehicles (USVs). First, based on different combat modes and application scenarios, a multi-agent deep deterministic policy gradient algorithm based on distributed execution was determined, and its principle was introduced…”
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Multi-Agent Deep Deterministic Policy Gradient Algorithm Based on Classification Experience Replay Autor Sun, Xiaoying, Chen, Jinchao, Du, Chenglie, Zhan, Mengying

“…In recent years, multi-agent reinforcement learning has been applied in many fields, such as urban traffic control, autonomous UAV operations, etc. Although…”
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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

“…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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Large-scale deep reinforcement learning method for energy management of power supply units considering regulation mileage payment Autor Qian, Ting, Yang, Cheng

“…To improve automatic generation control (AGC) performance and reduce the wastage of regulation resources in interconnected grids including high-proportion…”
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A multi-agent deep reinforcement learning-based “Octopus” cooperative load frequency control for an interconnected grid with various renewable units Autor Li, Jiawen, Yu, Tao, Cui, Haoyang

“…•A data-driven “octopus” cooperative load frequency control (OC-LFC) method for an interconnected power system is proposed.•An TED-MADDPG algorithm is proposed…”
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Multi-Agent Deep Deterministic Policy Gradient Algorithm for Peer-to-Peer Energy Trading Considering Distribution Network Constraints Autor Samende, Cephas, Cao, Jun, Fan, Zhong

“… 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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AUV Swarm Confrontation Search Method Based on the MADDPG Algorithm Autor An, Ruiqi, Li, Le, Bai, Miao, Zhang, Pu, Guo, Zhaozhi, Zuo, Ri

“…In this paper, an Autonomous Underwater Vehicle (AUV) swarm confrontation search method based on the Multi-Agent Deep Deterministic Policy Gradient (MADDPG)…”
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Bidding Strategy for Thermal Power Generation Companies Based on Multi-agent Deep Deterministic Policy Gradient Algorithm Autor Xingping ZHANG, Teng WANG, Xinyue ZHANG, Haonan ZHANG

“… A bidding strategy model is constructed based on the multi-agent deep deterministic policy gradient algorithm to analyze the differential bidding strategies for different combinations of thermal…”
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