Markovian Restless Bandits and Index Policies: A Review
The restless multi-armed bandit problem is a paradigmatic modeling framework for optimal dynamic priority allocation in stochastic models of wide-ranging applications that has been widely investigated and applied since its inception in a seminal paper by
José Niño-Mora
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INDEXABILITY AND OPTIMAL INDEX POLICIES FOR A CLASS OF REINITIALISING RESTLESS BANDITS. [PDF]
Motivated by a class of Partially Observable Markov Decision Processes with application in surveillance systems in which a set of imperfectly observed state processes is to be inferred from a subset of available observations through a Bayesian approach, we formulate and analyze a special family of multi-armed restless bandit problems.
Villar SS.
europepmc +4 more sources
Composite risk index for designing smart climate and energy policies
This study presents an innovative model for a comprehensive, in-depth risk assessment of climate and energy policies. A risk matrix framework combined with a composite index methodology is applied to produce a risk index composed of 24 risk indicators ...
Kristiāna Dolge, Dagnija Blumberga
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Quantitative evaluation of China’s artificial intelligence policies: A PMC index-based modeling approach [PDF]
With the rapid development of artificial intelligence (AI), various countries have introduced policies to address the social, economic, and ethical challenges brought by technological advancements. This study systematically evaluates the effectiveness of
Xia Liu +5 more
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Research on China’s population health policy: an analysis based on the PMC index model [PDF]
With China’s profound demographic transition, population health issues have emerged as critical determinants of sustainable national development. Since 2001, the Chinese government has implemented numerous population health policies; however, the absence
Rongjiang Cai +4 more
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Empowering chronic disease management with smart healthcare in China: a policy effectiveness evaluation by PMC index model [PDF]
IntroductionPopulation aging has driven a sustained increase in chronic diseases, creating major challenges for management, while the development of smart healthcare technologies offers new approaches for chronic disease prevention and control ...
Hang Yang +5 more
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Quantitative evaluation of pilot low-carbon policies based on text mining [PDF]
[Objective] This study conducted a multidimensional quantitative evaluation of pilot low-carbon policies to provide a more effective basis for the formulation and optimization of such policies, and help achieve the dual carbon goals.
DENG Xiang, PENG Jie
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Research on health care integration policy evaluation based on grounded theory and PMC index model [PDF]
Health care integration is an important way to achieve healthy ageing and meet the personalized health care needs of the elderly. Based on 16 policies on health care integration introduced at the national level in China from 2013 to 2022, the open coding
Qiu Xiaolong, Xu Xinglong
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Multi-Gear Bandits, Partial Conservation Laws, and Indexability
This paper considers what we propose to call multi-gear bandits, which are Markov decision processes modeling a generic dynamic and stochastic project fueled by a single resource and which admit multiple actions representing gears of operation naturally ...
José Niño-Mora
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An analysis of the linkages among fiscal vulnerability, financial stress and macroeconomic policies: an econometric study [PDF]
Purpose – This study aims to analyze the imbalances in the public finance structure of Pakistan’s economy and highlight the need for comprehensive reforms.
Khurram Ejaz Chandia +2 more
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