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Reinforcement Learning for Cyber-Physical Systems with Cybersecurity Case Studies

Reinforcement Learning for Cyber-Physical Systems with Cybersecurity Case Studies

Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies was inspired by recent developments in the fields of reinforcement learning (RL) and cyber-physical systems (CPSs). Rooted in behavioral psychology RL is one of the primary strands of machine learning. Different from other machine learning algorithms such as supervised learning and unsupervised learning the key feature of RL is its unique learning paradigm i. e. trial-and-error. Combined with the deep neural networks deep RL become so powerful that many complicated systems can be automatically managed by AI agents at a superhuman level. On the other hand CPSs are envisioned to revolutionize our society in the near future. Such examples include the emerging smart buildings intelligent transportation and electric grids. However the conventional hand-programming controller in CPSs could neither handle the increasing complexity of the system nor automatically adapt itself to new situations that it has never encountered before. The problem of how to apply the existing deep RL algorithms or develop new RL algorithms to enable the real-time adaptive CPSs remains open. This book aims to establish a linkage between the two domains by systematically introducing RL foundations and algorithms each supported by one or a few state-of-the-art CPS examples to help readers understand the intuition and usefulness of RL techniques. FeaturesIntroduces reinforcement learning including advanced topics in RL Applies reinforcement learning to cyber-physical systems and cybersecurity Contains state-of-the-art examples and exercises in each chapterProvides two cybersecurity case studies Reinforcement Learning for Cyber-Physical Systems with Cybersecurity Case Studies is an ideal text for graduate students or junior/senior undergraduates in the fields of science engineering computer science or applied mathematics. It would also prove useful to researchers and engineers interested in cybersecurity RL and CPS. The only background knowledge required to appreciate the book is a basic knowledge of calculus and probability theory.

GBP 44.99
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Statistical Reinforcement Learning Modern Machine Learning Approaches

Statistical Reinforcement Learning Modern Machine Learning Approaches

Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic reward signals with its past actions. With numerous successful applications in business intelligence plant control and gaming the RL framework is ideal for decision making in unknown environments with large amounts of data. Supplying an up-to-date and accessible introduction to the field Statistical Reinforcement Learning: Modern Machine Learning Approaches presents fundamental concepts and practical algorithms of statistical reinforcement learning from the modern machine learning viewpoint. It covers various types of RL approaches including model-based and model-free approaches policy iteration and policy search methods. Covers the range of reinforcement learning algorithms from a modern perspectiveLays out the associated optimization problems for each reinforcement learning scenario coveredProvides thought-provoking statistical treatment of reinforcement learning algorithmsThe book covers approaches recently introduced in the data mining and machine learning fields to provide a systematic bridge between RL and data mining/machine learning researchers. It presents state-of-the-art results including dimensionality reduction in RL and risk-sensitive RL. Numerous illustrative examples are included to help readers understand the intuition and usefulness of reinforcement learning techniques. This book is an ideal resource for graduate-level students in computer science and applied statistics programs as well as researchers and engineers in related fields. | Statistical Reinforcement Learning Modern Machine Learning Approaches

GBP 44.99
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The Challenges Of Southsouth Cooperation

Electronic Circuit Analysis using LTSpice XVII Simulator A Practical Guide for Beginners

Foundations of Reinforcement Learning with Applications in Finance

Foundations of Reinforcement Learning with Applications in Finance

Foundations of Reinforcement Learning with Applications in Finance aims to demystify Reinforcement Learning and to make it a practically useful tool for those studying and working in applied areas — especially finance. Reinforcement Learning is emerging as a powerful technique for solving a variety of complex problems across industries that involve Sequential Optimal Decisioning under Uncertainty. Its penetration in high-profile problems like self-driving cars robotics and strategy games points to a future where Reinforcement Learning algorithms will have decisioning abilities far superior to humans. But when it comes getting educated in this area there seems to be a reluctance to jump right in because Reinforcement Learning appears to have acquired a reputation for being mysterious and technically challenging. This book strives to impart a lucid and insightful understanding of the topic by emphasizing the foundational mathematics and implementing models and algorithms in well-designed Python code along with robust coverage of several financial trading problems that can be solved with Reinforcement Learning. This book has been created after years of iterative experimentation on the pedagogy of these topics while being taught to university students as well as industry practitioners. Features Focus on the foundational theory underpinning Reinforcement Learning and software design of the corresponding models and algorithms Suitable as a primary text for courses in Reinforcement Learning but also as supplementary reading for applied/financial mathematics programming and other related courses Suitable for a professional audience of quantitative analysts or data scientists Blends theory/mathematics programming/algorithms and real-world financial nuances while always striving to maintain simplicity and to build intuitive understanding To access the code base for this book please go to: https://github. com/TikhonJelvis/RL-book

GBP 74.99
1

Introduction to Microcontroller Programming for Power Electronics Control Applications Coding with MATLAB and Simulink

Introduction to Microcontroller Programming for Power Electronics Control Applications Coding with MATLAB and Simulink

Microcontroller programming is not a trivial task. Indeed it is necessary to set correctly the required peripherals by using programming languages like C/C++ or directly machine code. Nevertheless MathWorks® developed a model-based workflow linked with an automatic code generation tool able to translate Simulink® schemes into executable files. This represents a rapid prototyping procedure and it can be applied to many microcontroller boards available on the market. Among them this introductory book focuses on the C2000 LaunchPadTM family from Texas InstrumentsTM to provide the reader basic programming strategies implementation guidelines and hardware considerations for some power electronics-based control applications. Starting from simple examples such as turning on/off on-board LEDs Analog-to-Digital conversion waveform generation or how a Pulse-Width-Modulation peripheral should be managed the reader is guided through the settings of the specific MCU-related Simulink® blocks enabled for code translation. Then the book proposes several control problems in terms of power management of RL and RLC loads (e. g. involving DC-DC converters) and closed-loop control of DC motors. The control schemes are investigated as well as the working principles of power converter topologies needed to drive the systems under investigation. Finally a couple of exercises are proposed to check the reader’s understanding while presenting a processor-in-the loop (PIL) technique to either emulate the dynamics of complex systems or testing computational performance. Thus this book is oriented to graduate students of electrical and automation and control engineering pursuing a curriculum in power electronics and drives as well as to engineers and researchers who want to deepen their knowledge and acquire new competences in the design and implementations of control schemes aimed to the aforementioned application fields. Indeed it is assumed that the reader is well acquainted with fundamentals of electrical machines and power electronics as well as with continuous-time modeling strategies and linear control techniques. In addition familiarity with sampled-data discrete-time system analysis and embedded design topics is a plus. However even if these competences are helpful they are not essential since this book provides some basic knowledge even to whom is approaching these topics for the first time. Key concepts are developed from scratch including a brief review of control theory and modeling strategies for power electronic-based systems. | Introduction to Microcontroller Programming for Power Electronics Control Applications Coding with MATLAB® and Simulink®

GBP 44.99
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The Mongol Empire Its Rise and Legacy

International Approaches to Promoting Social and Emotional Learning in Schools A Framework for Developing Teaching Strategy

International Approaches to Promoting Social and Emotional Learning in Schools A Framework for Developing Teaching Strategy

This book explores the importance of social and emotional learning (SEL) in schools to foster supportive environments and good relationships. It presents research from nine different countries with discussion of how teachers student teachers and policymakers can ensure successful SEL at school. The book stresses the importance of social and emotional learning to allow students to become more autonomous and active in their own learning and presents very innovative ways of learning and teaching the skills. It makes the case for understanding the processes of how SEL can develop and how it can work in different cultural contexts considering different challenges of implementing SEL within the school context. The chapters draw on theoretical discussions illustrated by practical examples and explore the role of teacher training in SEL and how SEL can be applied within the school curriculum. Discussing an increasingly important topic in the field of education around the world this book will be of great interest to academics researchers educational leaders and university teacher trainers interested in developing social and emotional learning and overall well-being at school. Chapter 6 of this book is freely available as a downloadable Open Access PDF at http://www. taylorfrancis. com under a Creative Commons Attribution-NonCommercial-NoDerivatives 4. 0 International license. Funded by the UIDEF - Unidade de Investigação e Desenvolvimento em Educação Formação - polo UIDEFMH. | International Approaches to Promoting Social and Emotional Learning in Schools A Framework for Developing Teaching Strategy

GBP 38.99
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Home Advantage in Sport Causes and the Effect on Performance

Home Advantage in Sport Causes and the Effect on Performance

This is the first book exploring the concept of home advantage (HA) the well-known beneficial effect that players and teams derive from performing at home in all sports throughout the world. Despite the fact that the existence of HA dates back to the origins of organized sport in the late 19th century its root causes and how they operate and interact with each other are still unclear and remain the topic of intense research involving many disciplines all with the potential objective of improving team and individual performance. This book covers a broad review of HA divided into three different sections: (i) Section 1 focuses on the theory of HA in sport (the concept of this phenomenon its quantification and factors supposedly associated with the HA are explored; (ii) Section 2 analyses the effects of HA in sports related to both male and female athletes in relation to tactics and strategies fans referees travel situational variables and the home disadvantage; and (iii) Section 3 studies the HA as it applies to specific sports worldwide such as outdoor sports (football rugby cricket and Australian Football) indoor sports (basketball futsal handball water polo and volleyball) US professional sports individual sports racket sports combat sports minor sports disabled sports and the Olympic Games. This book has been written in cooperation with top leading experts in this field worldwide. The book offers a better understanding of the HA effect for MSc and PhD students athletes coaches performance analysts sport psychologists sociologists sport scientists and sport journalists. | Home Advantage in Sport Causes and the Effect on Performance

GBP 36.99
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