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Updated: Mar 15, 2026

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
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Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

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AF-CuRL:在边缘智能系统中用于资源受限的长形式推理的稳定增强学习

Ziqin Yan1,2, Yurong Wang2,3, Qingsheng Yue1

  • 1School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.

Sensors (Basel, Switzerland)
|March 14, 2026
PubMed
概括

我们介绍了以答案为中心的课程强化学习 (AF-CuRL),这是对资源有限的智能系统的稳定框架. AF-CuRL通过专注于关键奖励和使用课程时间表来增强长型推理,提高决策准确性和生成规律性.

关键词:
信用指派 信用指派 信用指派 信用指派大型语言模型.长形式生成的长形式生成.强化学习是一种强化学习.

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