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Updated: Feb 24, 2026

A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments
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A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments

Published on: April 15, 2014

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深度强化学习用于干预部分可观测的监管网络

Seyed Hamid Hosseini1, Mahdi Imani1

  • 1Department of Electrical and Computer Engineering at Northeastern University.

Proceedings of the ... American Control Conference. American Control Conference
|February 23, 2026
PubMed
概括

这项研究引入了一个深度强化学习框架,用于优化在基因调节网络 (GRNs) 中进行干预的不完整数据. 该方法有效地管理不确定性以控制基因活性,优于现有的方法.

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