Neuro Dynamic Programming

Author: Dimitri P. Bertsekas
Publisher:
ISBN: 9781886529106
Size: 54.78 MB
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This book provides the first systematic presentation of the science and the art behind this promising methodology.

Introduction To Neural Networks Using Matlab 6 0

Author: S. N. Sivanandam
Publisher: Tata McGraw-Hill Education
ISBN: 9780070591127
Size: 59.67 MB
Format: PDF, ePub, Docs
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12.15.2 Applications of Neuro- dynamic Programming The idea of neuro-dynamic
programming is widely used in several applications. Some of them are, (1)
Cooperative control. (2) Implementation for time delay systems. (3)
Reconfigurable flight control can be designed via neuro-dynamic programming. (
4) Retailer inventory management. (5) Robotic control. (6) Missile control. (7)
Autonomous vehicle control. Thus the concept of dynamic programming along
with neural networks ...

Adaptive Dynamic Programming For Control

Author: Huaguang Zhang
Publisher: Springer Science & Business Media
ISBN: 144714757X
Size: 40.16 MB
Format: PDF, Kindle
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In the literature, there are several synonyms used for “Adaptive Critic Designs” [
29, 46, 50, 62, 76, 92], including “Approximate Dynamic Programming” [86, 100],
“Asymptotic Dynamic Programming” [79], “Adaptive Dynamic Program- ming” [68,
69], “Heuristic Dynamic Programming” [54, 98], “Neuro-Dynamic Programming” [
15], “Neural Dynamic Programming” [86, 106], and “Reinforcement Learning” [87]
. In [15], Bertsekas and Tsitsiklis gave an overview of neuro-dynamic
programming.

Encyclopedia Of Optimization

Author: Christodoulos A. Floudas
Publisher: Springer Science & Business Media
ISBN: 0387747583
Size: 21.35 MB
Format: PDF, ePub
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optimal control with first order differential equations; Dynamic programming:
average cost per stage problems; Dynamic programming in clustering; Dynamic
programming: discounted problems; Dynamic programming: infinite horizon
problems, ... Infinite horizon control and dynamic games; MINLP: applications in
the interaction of design and control; Multi-objective optimization: interaction of
design and control; Multiple objective dynamic programming; Neurodynamic
programming; ...

Reinforcement Learning And Approximate Dynamic Programming For Feedback Control

Author: Frank L. Lewis
Publisher: John Wiley & Sons
ISBN: 1118453972
Size: 38.42 MB
Format: PDF, ePub
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Neurodynamic programming encompasses techniques from both reinforcement
learning and approximate dynamic programming. Feature selection refers to the
choice of basis that defines the function class that is required in
theapplicationofthese techniques. This chapter reviewstwopopular approaches to
neurodynamic programming, TDandQLearning. The main goal of the chapter is
to demonstrate how insight from idealized models can be used as a guide for
feature selection for ...

Reinforcement Learning And Dynamic Programming Using Function Approximators

Author: Lucian Busoniu
Publisher: CRC Press
ISBN: 9781439821091
Size: 15.11 MB
Format: PDF, Kindle
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In Si, J., Barto, A., and Powell, W., editors, Learning and Approximate Dynamic
Programming. IEEE Press. Bertsekas, D. P. and Casta ̃non, D. A. (1989).
Adaptive aggregation methods for infinite horizon dynamic programming. IEEE
Transactions on Automatic Control, 34(6):589–598. Bertsekas, D. P. and Ioffe, S. (
1996). Temporal differences-based policy iteration and applications in neuro-
dynamic programming. Technical Report LIDSP-2349, Massachusetts Institute of
Technology, ...

Adaptive Dynamic Programming With Applications In Optimal Control

Author: Derong Liu
Publisher: Springer
ISBN: 3319508156
Size: 28.62 MB
Format: PDF, ePub
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1.4. Related. Books. There have been a few books published on the topics of
reinforcement learning and adaptive dynamic programming. A quick overview of
these books will be given in this section. In their book published in 1996 [12],
Bertsekas and Tsitsiklis give an overview of neuro-dynamic programming. The
book draws on the theory of function approximation, iterative optimization ...