Search Results - "Multi-agent deep deterministic policy gradient algorithm"

Grid-area coordinated load frequency control strategy using large-scale multi-agent deep reinforcement learning by 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 by 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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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

“…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 by 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 by 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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基于多智能体深度强化学习的无人艇集群博弈对抗研究 by 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 by Changdong YU, Xinyang LIU, Cong CHEN, Dianyong LIU, Xiao LIANG

“…Based on the background of future modern maritime combats, a multi-agent deep reinforcement learning scheme was proposed to complete the cooperative round-up…”
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AUV Swarm Confrontation Search Method Based on the MADDPG Algorithm by 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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