Language : English
Published : 2010-04-23
Pages : 286
Reinforcement Learning and Dynamic Programming Using Function Approximators
From household appliances to applications in robotics, engineered systems involving complex dynamics can only be as effective as the algorithms that control them. While Dynamic Programming (DP) has provided researchers with a way to optimally solve decision and control problems involving complex dynamic systems, its practical value was limited by algorithms that lacked the capacity to scale up to realistic problems. However, in recent years, dramatic developments in Reinforcement Learning (RL), the model-free counterpart of DP, changed our understanding of what is possible. Those developments led to the creation of reliable methods that can be applied even when a mathematical model of the system is unavailable, allowing researchers to solve challenging control problems in engineering, as well as in a variety of other disciplines, including economics, medicine, and artificial intelligence. Reinforcement Learning and Dynamic Programming Using Function Approximators provides a comprehensive and unparalleled exploration of the field of RL and DP. With a focus on continuous-variable problems, this seminal text details essential developments that have substantially altered the field over the past decade. In its pages, pioneering experts provide a concise introduction to classical RL and DP, followed by an extensive presentation of the state-of-the-art and novel methods in RL and DP with approximation. Combining algorithm development with theoretical guarantees, they elaborate on their work with illustrative examples and insightful comparisons. Three individual chapters are dedicated to representative algorithms from each of the major classes of techniques: value iteration, policy iteration, and policy search. The features and performance of these algorithms are highlighted in extensive experimental studies on a range of control applications. The recent development of applications involving complex systems has led to a surge of interest in RL and DP methods and the subsequent need for a quality resource on the subject. For graduate students and others new to the field, this book offers a thorough introduction to both the basics and emerging methods. And for those researchers and practitioners working in the fields of optimal and adaptive control, machine learning, artificial intelligence, and operations research, this resource offers a combination of practical algorithms, theoretical analysis, and comprehensive examples that they will be able to adapt and apply to their own work. Access the authors’ website at www.dcsc.tudelft.nl/rlbook/ for additional material, including computer code used in the studies and information concerning new developments.
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The purpose of this third edition is to bring together in a single book descriptions of all tests carried out in the optical shop that are applicable to optical components and systems. This book is intended for the specialist as well as the non-specialist engaged in optical shop testing. There is currently a great deal of research being done in optical engineering. Making this new edition very timely.
About the Author
Daniel Malacara, PhD, is a Professor at the Centro de Investigaciones en Optica, Leon, Gto, Mexico. A designer and constructor of optical instruments, including telescopes, he is well known for his books, including Optical Shop Testing, which has been translated into several languages. Dr. Malacara is a Fellow of the Optical Society of America and of SPIE, the International Society of Optical Engineering.
Enrico Fermi (1901 – 1954) was an Italian-American physicist particularly known for his work on the development of the first nuclear reactor and for his contributions to the development of quantum theory, nuclear and particle physics, and statistical mechanics. He was awarded the 1938 Nobel Prize in Physics for his work on induced radioactivity. Fermi is widely regarded as one of the leading scientists of the 20th century, highly accomplished in both theory and experiment. Along with J. Robert Oppenheimer, he is frequently referred to as “the father of the atomic bomb.” His lecture notes, especially those for quantum mechanics, nuclear physics, and thermodynamics, were transcribed into books which are still in print, including THERMODYNAMICS, which remains his most important publication. With his characteristic clarity, in this classic on Thermodynamics, Fermi explains the First and Second Laws of Thermodynamics, entropy, thermodynamic potentials, and much more.
Transportation is arguably the most critical component of global supply chains. And one of the most complex. Delivering comprehensive coverage of current domestic and global transportation trends, “Management Transportation, 7e, International Edition” equips your students with a solid understanding of this dynamic field. More student friendly than ever, the seventh edition helps readers understand both the fundamental role and importance of transportation in companies and in society, as well as the complex environment in which transportation service is provided today. Taking a managerial approach, the authors give students the tools to successfully adapt to this fast-paced and rapidly changing industry. The text is organized into three parts. Part I provides a framework and foundation for the role of transportation from a micro and macro perspective in supply chains. Discussions include both the theoretical and managerial dimensions of transportation in supply chains, including regulation and public policy. Part II focuses on the providers of transportation, offering an industry overview, operating and service characteristics, cost structure, and current challenges and issues. Part III focuses on a variety of critical transportation management issues, providing insightful discussions of the strategic activities and challenges involved in the movement of goods through the supply chain.
How to plan your future strategy for efficient, cost-saving data management
Businesses have historically treated data protection as an afterthought, as simply making an occasional copy of data that could be used in the future. Today, this attitude is changing rapidly. The ever-increasing amount of data, along with the emphasis on continuous availability, necessitates changes in the approach to data integrity, which results in management and protection becoming much more closely aligned. Digital Data Integrity throws light on the data integrity landscape of the future. It provides the reader with a brief overview of the historical methods and subsequent evolution of data protection. The text shows how the whole subject of data integrity is changing and describes and positions many of the new, enhanced, more intelligent protection technologies and methods.
Digital Data Integrity:
- Takes a unique, forward look at data protection and management, highlighting the paradigm shift from simple backup and recovery to total data management.
- Details recent developments in compliance regulations in an accessible manner.
- Covers enhanced protection technologies such as advanced intelligent synthetic backups, data reduction methods, and data growth – online protection using continuous data protection.
- Explains data life cycle management and data storage, using management, quality of service products and tools to achieve better data management, intelligent allocation of storage, and compliance with regulations.
- Contains information on quality control, looking at SLA (Service Level Agreements), protection by business unit and billing/charge back.
- Unique insight into hot topics such as next generation bare metal recovery and true system provisioning.
This invaluable text will provide system administrators, and database administrators, as well as senior IT managers and decision makers with a thorough understanding of data management and protection.
With contributions from Ray Schafer and Paul Mayer.