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Reinforcement Learning for Cyber-Physical Systems - Meikang Qiu - Bog - Taylor & Francis Ltd - Plusbog.dk

Reinforcement Learning for Cyber-Physical Systems - Meikang Qiu - Bog - Taylor & Francis Ltd - Plusbog.dk

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. Features Introduces 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 chapter Provides 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.

DKK 476.00
1

Reinforcement Learning for Cyber-Physical Systems - Meikang Qiu - Bog - Taylor & Francis Ltd - Plusbog.dk

Reinforcement Learning for Cyber-Physical Systems - Meikang Qiu - Bog - Taylor & Francis Ltd - Plusbog.dk

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. Features Introduces 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 chapter Provides 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.

DKK 835.00
1

Development of a Remote Laboratory for Engineering Education - Hamid Parsaei - Bog - Taylor & Francis Ltd - Plusbog.dk

Statistical Reinforcement Learning - Masashi Sugiyama - Bog - Taylor & Francis Ltd - Plusbog.dk

Statistical Reinforcement Learning - Masashi Sugiyama - Bog - Taylor & Francis Ltd - Plusbog.dk

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 perspective - Lays out the associated optimization problems for each reinforcement learning scenario covered - Provides thought-provoking statistical treatment of reinforcement learning algorithms - The 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.

DKK 468.00
3

The Travels of Marco Polo - L. F. Benedetto - Bog - Taylor & Francis Ltd - Plusbog.dk

The Challenges Of Southsouth Cooperation - Raul R Uranga - Bog - Taylor & Francis Ltd - Plusbog.dk

The Challenges Of Southsouth Cooperation - Raul R Uranga - Bog - Taylor & Francis Ltd - Plusbog.dk

Unmasking Irresponsible Leadership - Maria De Lourdes Lazzarin - Bog - Taylor & Francis Ltd - Plusbog.dk

Unmasking Irresponsible Leadership - Maria De Lourdes Lazzarin - Bog - Taylor & Francis Ltd - Plusbog.dk

This book is unique given its scholarly angle in unmasking irresponsible leadership (IL) by focusing on its meaning. For the first time the concept of irresponsible leadership (IL) is explored in depth, the plethora of terms used in various disciplines is synthesised, and the ped-andragogy of teaching IL as a threshold concept of responsible leadership (RL) is discussed. The methodological approach adopted is creative and sound. Following the call for business schools to do more in developing responsible leadership curriculum, the book is the first of its kind devoted to advocating a radical change in the management curriculum. It draws attention to the essence of developing a shared in-depth understanding of IL by addressing the misconceptions of theories and issues that have contributed to the epidemic corporate scandals worldwide. The authors provide a suite of reflective/reflexive tools for RL learning and development, including the first IL definitional framework useful for understanding IL perspectives. In addition the book is the first to introduce the ILRL board game, which increases the learner’s flow state. Thus, the book highlights how various tools can be useful for engagement, and understanding curricula and ped-andragogical issues vis-à-vis corporate leadership practices and sustainability in turbulent times. Our targeted audience: Academic researchers, final year undergraduates, and postgraduate (including Executive MBA) students and Higher Education Curricula developers/designers. The book provides many benefits, some of which include: Pertinent answers to important questions about responsible leadership and curriculum development; sophistication of qualitative research in management studies; in-depth understanding of irresponsible leadership from a cross-disciplinary perspective; support for leadership employability endeavours and equipping students with in-depth understanding of RL; assisting with developing reflective and reflexive practice; and in terms of ped-andragogy, encouraging innovation and creativity in teaching IL as a threshold concept of RL to reduce unnecessary management curricula bias.

DKK 532.00
1

Signaling Mechanisms Regulating T Cell Diversity and Function - - Bog - Taylor & Francis Ltd - Plusbog.dk

CAR-T Manufacturing - - Bog - Taylor & Francis Ltd - Plusbog.dk

CAR-T Manufacturing - - Bog - Taylor & Francis Ltd - Plusbog.dk

This edited volume describes innovations in all steps of the CAR-T manufacturing chain. These vital descriptions will help practitioners to overcome current challenges during the process and vastly reduce costs and enable timely and accessible administration of CAR-T therapy to patients. The book provides readers with information on key fundamental concepts of CAR-T manufacturing in areas such as cell selection, cell activation, cell transfection, cell expansion, genetic engineering, and quality control. In each chapter, a particular technological field in the CAR-T manufacturing chain is discussed. Each chapter will include an introduction to the importance of a particular technology for cell manufacturing, comparisons of state-of-the-art methods, and discussions on respective emerging innovations. This exposes readers to a high-level view of the entire process while diving into details for each specific process step. Readers will be able to apply their knowledge to make changes at each step of the CAR-T manufacturing process to reduce the existing high costs and long production times, so that cancer patients globally can benefit from CAR-T therapy. This book is an invaluable resource for practitioners in CAR-T manufacturing who aim to improve their quality and efficiency while reducing time and costs. It is also useful for advanced undergraduate and graduate students who wish to gain a strong foundation for continuing research in the field or interacting with practitioners.

DKK 825.00
3

T Level Engineering - Andrew Livesey - Bog - Taylor & Francis Ltd - Plusbog.dk

T-Group Facilitation - Renuka Raj Singh - Bog - Taylor & Francis Ltd - Plusbog.dk

Cutaneous T-Cell Lymphoma - - Bog - Taylor & Francis Ltd - Plusbog.dk

The Nature of Temporal (t 0) Science - Francis T. S. Yu - Bog - Taylor & Francis Ltd - Plusbog.dk

The Nature of Temporal (t 0) Science - Francis T. S. Yu - Bog - Taylor & Francis Ltd - Plusbog.dk

The author has shown that practically all our laws, principles, and theories are not physically realizable, since they were derived from an empty space paradigm. From which this book is started with the origin of our temporal (t 0) universe, it shows that temporal subspace is a physically realizable space within our universe. As in contrasted with generally accepted paradigm where time is an independent variable. From which the author has shown that it is not how rigorous mathematics is, but it is the temporal (t 0) space paradigm determines the physically realizable solution. Although Einstein’s relativity and Schrödinger''s principle had revolutionized the modern science, this book has shown that both theory and principle are physically non-realizable since they were developed from an empty space paradigm. One of the most important contribution of this book must be the revolutionary idea of our temporal (t 0) space, for which the author has shown that absolute certainty exists only at the present (t = 0) moment. Where past-time information has no physical substance and future-time represents a physically realizable yet uncertainty. From which the author has shown that all the existent laws, principles, and theories were based on past-time certainties to predict the future, but science is supposed to be approximated. The author has also shown that this is precisely our theoretical science was developed. But time independent laws and principles are not existed within our temporal universe, in view of the author’s temporal exclusive principle. By which the author has noted that timeless science has already created a worldwide conspiracy for examples such as superposition principle, qubit information, relativity theory, wormhole travelling and many others. This book has also shown that Heisenberg’s uncertainty is an observational principle independent with time, yet within our universe everything changes with time. In this book the author has also noted that micro space behaviors the same as macro space regardless of the particle size. Finally, one of interesting feature is that, that big bang creation was ignited by a self-induced gravitational force instead by time as commonly believed. Nevertheless, everything has a price to pay; a section of time ∆t and an amount of energy ∆E and it is not free. The author has also shown that time is the only variable that cannot be changed. Although we can squeeze a section of time ∆t as small as we wish but we can never able to squeeze ∆t to zero even we have all the needed energy. Nevertheless, this revolutionary book closer to the truth is highly recommended to every scientist and engineer, otherwise we will forever be trapped within the timeless fantasyland of science. This book is intended for cosmologists, particle physicists, astrophysicists, quantum physicists, computer scientists, optical scientists, communication engineers, professors, and students as a reference or a research-oriented book.

DKK 646.00
3

Elements of Electricity and Magnetism - R.k. Tyagi - Bog - Taylor & Francis Ltd - Plusbog.dk

T. F. Torrance’s Christological Anthropology - Christopher G. Woznicki - Bog - Taylor & Francis Ltd - Plusbog.dk

L. T. Hobhouse - J. A. Hobson - Bog - Taylor & Francis Ltd - Plusbog.dk

The Work of T. B. Barratt - T. B. Barratt - Bog - Taylor & Francis Ltd - Plusbog.dk