Algorithms For Reinforcement Learning

Author: Csaba Szepesvari
Publisher: Morgan & Claypool Publishers
ISBN: 1608454924
Size: 79.66 MB
Format: PDF, Mobi
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In this book, we focus on those algorithms of reinforcement learning that build on the powerful theory of dynamic programming.We give a fairly comprehensive catalog of learning problems, describe the core ideas, note a large number of state ...

Optimal Control

Author: Frank L. Lewis
Publisher: John Wiley & Sons
ISBN: 0470633492
Size: 18.70 MB
Format: PDF, ePub
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This new, updated edition reflects major changes that have occurred in the field in recent years and presents, in a clear and direct way, the fundamentals of optimal control theory.

Handbook Of Learning And Approximate Dynamic Programming

Author: Jennie Si
Publisher: John Wiley & Sons
ISBN: 9780471660545
Size: 31.26 MB
Format: PDF, Mobi
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With this approach, a supervisor adds structure to a learnmg problem and
supervised leaming makes that structure part of an actor-critic framework for
reinforcement learning. Theoretical background and a detailed algorithm
description are provided, along with several examples that contain enough detail
to make them easy to understand and possible to duplicate. These examples
also illustrate the use of two kinds of supervisors: a feedback controller that is
easily designed yet sub- ...

Adaptive Dynamic Programming For Control

Author: Huaguang Zhang
Publisher: Springer Science & Business Media
ISBN: 144714757X
Size: 49.12 MB
Format: PDF, Mobi
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This text will be of considerable interest to researchers interested in optimal control and its applications in operations research, applied mathematics computational intelligence and engineering.

Smart Grid

Author: Stephen F. Bush
Publisher: John Wiley & Sons
ISBN: 111882024X
Size: 26.58 MB
Format: PDF, Kindle
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However, in general, control systems do not meet these conditions and become
intractable to solve using the standard dynamic programming approach just
described. As an alternative ... There are many different names for this concept,
including adaptive critic designs, approximate dynamic programming, asymptotic
dynamic programming, ADP, heuristic dynamic programming, neuro-dynamic
programming, neural-dynamic programming, and reinforcement learning. Two
specific ...

Control Of Complex Systems

Author: Kyriakos Vamvoudakis
Publisher: Butterworth-Heinemann
ISBN: 0128054379
Size: 77.77 MB
Format: PDF, ePub
View: 2096
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This book is intended for researchers and control engineers in machine learning, adaptive control, optimization and automatic control systems, including Electrical Engineers, Computer Science Engineers, Mechanical Engineers, ...

Mechanical Engineers Handbook Instrumentation Systems Controls And Mems

Author: Myer Kutz
Publisher: Wiley
ISBN: 9780471719861
Size: 64.27 MB
Format: PDF
View: 4593
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The universal approximation properties of NNs2-3 avoid the use of specialized
basis sets, including regression matrices. Formalized improved proofs avoid the
use of assumptions such as certainty equivalence. Robustifying terms avoid the
need for persistency of excitation. Recent books on NN feedback control include
Refs. 15, 20, 22, 28, 31, and 82. 11.2 Approximate Dynamic Programming
Adaptive critics are reinforcement learning designs that attempt to approximate
dynamic ...