Abstract: The design of controllers from data for nonlinear systems is a challenging problem. In a recent paper, De Persis, Rotulo and Tesi, “Learning controllers from data via approximate ...
This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...
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