Abstract: Nonlinear models with a linear-in-coefficients property, i.e., the property that the model output is linear with respect to model coefficients, are highly valuable for behavioral modeling of ...
Multi-step temporal-difference (TD) learning, where the update targets contain information from multiple time steps ahead, is one of the most popular forms of TD learning for linear function ...
This paper proposes a directed graph filter bank for predicting river water level distributions using time-delay dynamic mode decomposition (tdDMD) and sparse modeling. The previously proposed ...
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