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...
Κύριοι συγγραφείς: | Kamalapurkar, Rushikesh (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Walters, Patrick (http://id.loc.gov/vocabulary/relators/aut), Rosenfeld, Joel (http://id.loc.gov/vocabulary/relators/aut), Dixon, Warren (http://id.loc.gov/vocabulary/relators/aut) |
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Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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Έκδοση: | 1st ed. 2018. |
Σειρά: | Communications and Control Engineering,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
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