A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...
Abstract: In this paper, an incremental linear quadratic differential game (ILQDG) guidance law against modeling uncertainty is proposed, and its capturability is analyzed concerning the acceleration ...
Abstract: This letter addresses the inverse problem for Linear-Quadratic (LQ) nonzero-sum N-player differential games, where the goal is to learn cost function parameters such that the given tuple of ...
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