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Reinforcement Learning for Optimal Feedback Control A Lyapunov-Based Approach /

Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in nonlinear deterministic dynamical systems. In order to achieve learning under uncertainty, data-driven methods for identifying system models...

Detaylı Bibliyografya
Asıl Yazarlar:	Kamalapurkar, Rushikesh (Yazar), Walters, Patrick (Yazar), Rosenfeld, Joel (Yazar), Dixon, Warren (Yazar)
Müşterek Yazar:	SpringerLink (Online service)
Materyal Türü:	e-Kitap
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Cham : Springer International Publishing : 2018. Imprint: Springer,
Edisyon:	1st ed. 2018.
Seri Bilgileri:	Communications and Control Engineering,
Konular:	Control engineering. Mathematical optimization. Calculus of variations. System theory. Control theory. Telecommunication. Control and Systems Theory. Calculus of Variations and Optimization. Systems Theory, Control. Communications Engineering, Networks.
Online Erişim:	Full-text access

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