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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Hlavní autor: Kamalapurkar, Rushikesh (Autor)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Cham : Springer International Publishing, 2018.
Vydání:1st ed. 2018.
Edice:Communications and Control Engineering,
Témata:
Control engineering.
Calculus of variations.
System theory.
Electrical engineering.
ISBN:9783319783840
ISSN:0178-5354
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Obsah:
  • Chapter 1. Optimal control
  • Chapter 2. Approximate dynamic programming
  • Chapter 3. Excitation-based online approximate optimal control
  • Chapter 4. Model-based reinforcement learning for approximate optimal control
  • Chapter 5. Differential Graphical Games
  • Chapter 6. Applications
  • Chapter 7. Computational considerations
  • Reference
  • Index.

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