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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Social work is the profession that claims to intervene to enhance people’s well-being. However, social workers have played a low-key role in environmental issues that increasingly impact on people’s well-being, both locally and globally.
This compelling new contribution confronts this topic head-on, examining environmental issues from a social work perspective. Lena Dominelli draws attention to the important voice of practitioners working on the ground in the aftermath of environmental disasters, whether these are caused by climate change, industrial accidents or human conflict. The author explores the concept of ‘green social work’ and its role in using environmental crises to address poverty and other forms of structural inequalities, to obtain more equitable allocations of limited natural resources and to tackle global socio-political forces that have a damaging impact upon the quality of life of poor and marginalized populations at local levels. The resolution of these matters is linked to community initiatives that social workers can engage in to ensure that the quality of life of poor people can be enhanced without costing the Earth.
This important book will appeal to those in the fields of social work, social policy, sociology and human geography. It powerfully reveals how environmental issues are an integral part of social work’s remit if it is to retain its currency in the modern world and emphasize its relevance to the social issues that societies have to resolve in the twenty-first century.
About the Author
Lena Dominelli is Professor of Applied Social Sciences in the School of Applied Social Sciences, and Associate Director of the Institute of Hazard, Risk and Resilience Research at Durham University.
Analyzing how hacks are done, so as to stop them in the future Reverse engineering is the process of analyzing hardware or software and understanding it, without having access to the source code or design documents. Hackers are able to reverse engineer systems and exploit what they find with scary results. Now the good guys can use the same tools to thwart these threats. Practical Reverse Engineering goes under the hood of reverse engineering for security analysts, security engineers, and system programmers, so they can learn how to use these same processes to stop hackers in their tracks. The book covers x86, x64, and ARM (the first book to cover all three); Windows kernel-mode code rootkits and drivers; virtual machine protection techniques; and much more. Best of all, it offers a systematic approach to the material, with plenty of hands-on exercises and real-world examples. Offers a systematic approach to understanding reverse engineering, with hands-on exercises and real-world examples Covers x86, x64, and advanced RISC machine (ARM) architectures as well as deobfuscation and virtual machine protection techniques Provides special coverage of Windows kernel-mode code (rootkits/drivers), a topic not often covered elsewhere, and explains how to analyze drivers step by step Demystifies topics that have a steep learning curve Includes a bonus chapter on reverse engineering tools Practical Reverse Engineering: Using x86, x64, ARM, Windows Kernel, and Reversing Tools provides crucial, up-to-date guidance for a broad range of IT professionals.
About the Author
Bruce Dang is a senior security development engineering lead at Microsoft focusing on Windows kernel and reverse engineering. Alexandre Gazet is a senior security researcher at QuarksLab focusing on reverse engineering and software protection. Elias Bachaalany is a software security engineer at Microsoft.
The third edition of this well-used wood, metals and plastic workbook closely matches the new Study Design. The focus of the workbook is on developing and refining key skills, through relevant and engaging activities. Students will buy one book or the other (Nelson Product Design and Technology VCE Units 1-4 Workbook: Textiles) and some of the pages are designed to be directly used as part of their folio. This workbook reinforces the student book material, and gives it practical application.
This highly interactive write-in workbook covers all the essential aspects of level 1 and 2. Welding & Fabrication theory including thorough QCF unit coverage of welding processes, metal fabrication & thermal cutting, as well as engineering materials & operations. Addressing all essential aspects of the qualification, this comprehensive resource is packed full of top quality 3D artwork, engaging tasks and activities and safe, sustainable practice, all of which aim to ensure that each learner fully understands all the fundamental theory required for their qualification. This interactive workbook can be used a stand-alone resource in the classroom or for personal study at home, or an accompaniment to the Welding & Fabrication e-learning programme for a complete blended learning experience.