Abstract: Most recommender systems have been proposed by utilizing the user feedback data, where implicit feedback is often used. However, in this setting, the dispreference signals in the original ...
Abstract: This article proposes a hierarchical neural learning (HNL) algorithm for optimal tracking control (OTC) of nonlinear strict-feedback systems (SFSs) with unmatched disturbances (uMDs) and ...
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