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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...
Main Authors: | Kamalapurkar, Rushikesh (Author), Walters, Patrick (Author), Rosenfeld, Joel (Author), Dixon, Warren (Author) |
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Corporate Author: | SpringerLink (Online service) |
Format: | e-Book |
Language: | English |
Published: |
Cham :
Springer International Publishing :
2018.
Imprint: Springer, |
Edition: | 1st ed. 2018. |
Series: | Communications and Control Engineering,
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Subjects: | |
Online Access: | Full-text access |
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