Learning Large Graph-Based MDPs With Historical Data
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DOI: 10.1109/tcns.2021.3128530
Abstract: Weconsider learning the dynamics and measurement model parameters of a graph-based Markov decision process (GMDP) given a history of measurements. Graph-based models have been used in modeling many data-based applications, such as recognition tasks, disease… read more here.
Keywords: large graph; graph based; mdps historical; learning large ... See more keywords