BriefGPT.xyz
Feb, 2021
知识注入的策略梯度方法用于自适应疫情控制
Knowledge Infused Policy Gradients for Adaptive Pandemic Control
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Kaushik Roy, Qi Zhang, Manas Gaur, Amit Sheth
TL;DR
本研究提出了一种基于知识注入的政策梯度方法,通过处理认知不均衡、将公共健康专家知识融入模型以及提高模型可解释性等方面,解决了COVID-19流行病控制中存在的困难,实现了快速、有效的应对新知识和产生可解释的政策。
Abstract
covid-19
has impacted nations differently based on their policy implementations. The effective policy requires taking into account public information and adaptability to new knowledge.
epidemiological models
buil
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