Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Explore how backward induction helps solve game theory problems by working from the end backward to determine optimal actions. Learn with practical examples.

Abstract: This study investigates the high-order internal model (HOIM) based data-driven iterative learning control of HSRs subject to faded channels. Firstly, the nonlinear train dynamics are ...

Abstract: This paper investigates iterative learning control for linear discrete systems. Under general conditions, an explicit formula for the inverse model-based algorithm is derived. Building on ...

We introduce iterative retrieval, a novel framework that empowers retrievers to make iterative decisions through policy optimization. Finding an optimal portfolio of retrieved items is a combinatorial ...