1# Library to Find Best eBook for Read
Author : Sean Meyn
Release : 2022-06-09
Genre : Business & Economics
Kind : eBook
Book Rating : 960/5 ( reviews)
Book Synopsis Control Systems and Reinforcement Learning by : Sean Meyn
Download or read book Control Systems and Reinforcement Learning written by Sean Meyn. This book was released on 2022-06-09. Available in PDF, EPUB and Kindle. Book excerpt: A how-to guide and scientific tutorial covering the universe of reinforcement learning and control theory for online decision making.
Author : Dimitri P. Bertsekas
Release : 2020
Genre : Artificial intelligence
Kind : eBook
Book Rating : 328/5 ( reviews)
Book Synopsis Reinforcement Learning and Optimal Control by : Dimitri P. Bertsekas
Download or read book Reinforcement Learning and Optimal Control written by Dimitri P. Bertsekas. This book was released on 2020. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kyriakos G. Vamvoudakis
Release : 2021-06-23
Genre : Technology & Engineering
Kind : eBook
Book Rating : 901/5 ( reviews)
Book Synopsis Handbook of Reinforcement Learning and Control by : Kyriakos G. Vamvoudakis
Download or read book Handbook of Reinforcement Learning and Control written by Kyriakos G. Vamvoudakis. This book was released on 2021-06-23. Available in PDF, EPUB and Kindle. Book excerpt: This handbook presents state-of-the-art research in reinforcement learning, focusing on its applications in the control and game theory of dynamic systems and future directions for related research and technology. The contributions gathered in this book deal with challenges faced when using learning and adaptation methods to solve academic and industrial problems, such as optimization in dynamic environments with single and multiple agents, convergence and performance analysis, and online implementation. They explore means by which these difficulties can be solved, and cover a wide range of related topics including: deep learning; artificial intelligence; applications of game theory; mixed modality learning; and multi-agent reinforcement learning. Practicing engineers and scholars in the field of machine learning, game theory, and autonomous control will find the Handbook of Reinforcement Learning and Control to be thought-provoking, instructive and informative.
Author : Thomas Duriez
Release : 2016-11-02
Genre : Technology & Engineering
Kind : eBook
Book Rating : 248/5 ( reviews)
Book Synopsis Machine Learning Control – Taming Nonlinear Dynamics and Turbulence by : Thomas Duriez
Download or read book Machine Learning Control – Taming Nonlinear Dynamics and Turbulence written by Thomas Duriez. This book was released on 2016-11-02. Available in PDF, EPUB and Kindle. Book excerpt: This is the first textbook on a generally applicable control strategy for turbulence and other complex nonlinear systems. The approach of the book employs powerful methods of machine learning for optimal nonlinear control laws. This machine learning control (MLC) is motivated and detailed in Chapters 1 and 2. In Chapter 3, methods of linear control theory are reviewed. In Chapter 4, MLC is shown to reproduce known optimal control laws for linear dynamics (LQR, LQG). In Chapter 5, MLC detects and exploits a strongly nonlinear actuation mechanism of a low-dimensional dynamical system when linear control methods are shown to fail. Experimental control demonstrations from a laminar shear-layer to turbulent boundary-layers are reviewed in Chapter 6, followed by general good practices for experiments in Chapter 7. The book concludes with an outlook on the vast future applications of MLC in Chapter 8. Matlab codes are provided for easy reproducibility of the presented results. The book includes interviews with leading researchers in turbulence control (S. Bagheri, B. Batten, M. Glauser, D. Williams) and machine learning (M. Schoenauer) for a broader perspective. All chapters have exercises and supplemental videos will be available through YouTube.
Author : Steven L. Brunton
Release : 2022-05-05
Genre : Computers
Kind : eBook
Book Rating : 489/5 ( reviews)
Book Synopsis Data-Driven Science and Engineering by : Steven L. Brunton
Download or read book Data-Driven Science and Engineering written by Steven L. Brunton. This book was released on 2022-05-05. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
