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...

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Bibliographic Details

Main Authors:	Kamalapurkar, Rushikesh (Author), Walters, Patrick (Author), Rosenfeld, Joel (Author), Dixon, Warren (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2018.
Series:	Communications and control engineering.
Subjects:	Mathematical optimization. System theory. Telecommunication. Control and Systems Theory. Calculus of Variations and Optimal Control; Optimization. Systems Theory, Control. Communications Engineering, Networks. Electronic books.
Online Access:	Connect to the full text of this electronic book