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Reinforcement Learning, second edition
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
The Design of Everyday Life
How do common household items such as basic plastic house wares or high-tech digital cameras transform our daily lives? This title considers this question, from the design of products through to their use in the home. It looks at how everyday objects, ranging from screwdrivers to photo management software, are used on a practical level.
Professional Issues in Nursing
Author: Carol J. Huston
language: en
Publisher: Lippincott Williams & Wilkins
Release Date: 2013-01-15
Using an approach that fosters critical thinking and values clarification, this textbook examines the full range of professional issues facing contemporary nursing. Coverage includes critical issues such as the nursing shortage, mandatory staffing ratios, violence in nursing, legal and ethical issues, plus the latest HIPAA regulations, career advancement and evaluations, and best practices for today and the future. This edition includes two NEW chapters: 1) a NEW chapter on developing effective leaders to meet 21st century healthcare challenges, and 2) a NEW chapter on the use of residencies for new graduate nurses as a transition to practice. In addition to these exciting additions, content has been updated throughout the book to reflect cutting-edge trends in healthcare including the impact of healthcare reform, and recommendations from the Institute of Medicine (IOM). This edition promises to be an integral tool to providing effective nursing care in an increasingly global, rapidly changing, technology driven world.