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Updated: Jul 6, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

通过使用创新的重复方法加速在配送网络重新配置中的深度强化学习算法的学习过程

Amirhossein Ghaemipour1, Habib Rajabi Mashhadi2,3, Seyed Hossein Mostafavi1

  • 1Department of Electrical Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.

Scientific reports
|March 10, 2026
PubMed
概括

本研究引入了一种新的深度强化学习 (DRL) 方法,用于分配网络重新配置 (DNR). 无模型方法显著降低了功率损耗,并改善了电力配电网络中的电压偏差.

关键词:
深度强化学习的学习.分布网络的重新配置配置.经验重复播放重复播放

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