The Power Of Reinforcement
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The Power Of Reinforcement
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Author : Stephen Ray Flora
language : en
Publisher: State University of New York Press
Release Date : 2012-02-01
The Power Of Reinforcement written by Stephen Ray Flora and has been published by State University of New York Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-01 with Social Science categories.
2004 CHOICE Outstanding Academic Title According to Stephen Ray Flora, reinforcement is a very powerful tool for improving the human condition despite often being dismissed as regarding people as less than human and as "overly simplistic." This book addresses and defends the use of reinforcement principles against a wide variety of attacks. Countering the myths, criticisms, and misrepresentations of reinforcement, including false claims that reinforcement is "rat psychology," the author shows that building reinforcement theory on basic laboratory research is a strength, not a weakness, and allows unlimited applications to human situations as it promotes well-being and productivity. Also examined are reinforcement contingencies, planned or accidental, as they shape behavioral patterns and repertoires in a positive way.
The Power Of Positive Reinforcement
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Author : Judith E. Favell
language : en
Publisher: Charles C. Thomas Publisher
Release Date : 1977
The Power Of Positive Reinforcement written by Judith E. Favell and has been published by Charles C. Thomas Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Psychology categories.
Reinforcement Learning Second Edition
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Author : Richard S. Sutton
language : en
Publisher: MIT Press
Release Date : 2018-11-13
Reinforcement Learning Second Edition written by Richard S. Sutton and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-13 with Computers categories.
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.
Other People S Habits
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Author : Aubrey C. Daniels
language : en
Publisher: McGraw-Hill Companies
Release Date : 2001
Other People S Habits written by Aubrey C. Daniels and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Behavior modification categories.
Applying the powerfully positive, groundbreaking system laid out in "Bringing Out the Best in People", Daniels shows how to use positive reinforcement to live a life filled with harmonious relationships.
Schedules Of Reinforcement
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Author : B. F. Skinner
language : en
Publisher: B. F. Skinner Foundation
Release Date : 2015-05-20
Schedules Of Reinforcement written by B. F. Skinner and has been published by B. F. Skinner Foundation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-20 with Psychology categories.
The contingent relationship between actions and their consequences lies at the heart of Skinner’s experimental analysis of behavior. Particular patterns of behavior emerge depending upon the contingencies established. Ferster and Skinner examined the effects of different schedules of reinforcement on behavior. An extraordinary work, Schedules of Reinforcement represents over 70,000 hours of research primarily with pigeons, though the principles have now been experimentally verified with many species including human beings. At first glance, the book appears to be an atlas of schedules. And so it is, the most exhaustive in existence. But it is also a reminder of the power of describing and explaining behavior through an analysis of measurable and manipulative behavior-environment relations without appealing to physiological mechanisms in the brain. As en exemplar and source for the further study of behavioral phenomena, the book illustrates the scientific philosophy that Skinner and Ferster adopted: that a science is best built from the ground up, from a firm foundation of facts that can eventually be summarized as scientific laws.
The Reinforcement Sensitivity Theory Of Personality
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Author : Philip J. Corr
language : en
Publisher: Cambridge University Press
Release Date : 2008-04-10
The Reinforcement Sensitivity Theory Of Personality written by Philip J. Corr and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-10 with Psychology categories.
One of the major neuropsychological models of personality, developed by world-renowned psychologist Professor Jeffrey Gray, is based upon individual differences in reactions to punishing and rewarding stimuli. This biological theory of personality - now widely known as 'Reinforcement Sensitivity Theory' (RST) - has had a major influence on motivation, emotion and psychopathology research. In 2000, RST was substantially revised by Jeffrey Gray, together with Neil McNaughton, and this revised theory proposed three principal motivation/emotion systems: the 'Fight-Flight-Freeze System' (FFFS), the 'Behavioural Approach System' (BAS) and the 'Behavioural Inhibition System' (BIS). This is the first book to summarise the Reinforcement Sensitivity Theory of personality and bring together leading researchers in the field. It summarizes all of the pre-2000 RST research findings, explains and elaborates the implications of the 2000 theory for personality psychology and lays out the future research agenda for RST.
Encyclopedia Of Child Behavior And Development
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Author : Sam Goldstein
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-11-23
Encyclopedia Of Child Behavior And Development written by Sam Goldstein and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-23 with Education categories.
This reference work breaks new ground as an electronic resource. Utterly comprehensive, it serves as a repository of knowledge in the field as well as a frequently updated conduit of new material long before it finds its way into standard textbooks.
The Great Mental Models General Thinking Concepts
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Author : Farnam Street
language : en
Publisher:
Release Date : 2019-12-16
The Great Mental Models General Thinking Concepts written by Farnam Street and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-16 with categories.
The old saying goes, ''To the man with a hammer, everything looks like a nail.'' But anyone who has done any kind of project knows a hammer often isn't enough. The more tools you have at your disposal, the more likely you'll use the right tool for the job - and get it done right. The same is true when it comes to your thinking. The quality of your outcomes depends on the mental models in your head. And most people are going through life with little more than a hammer. Until now. The Great Mental Models: General Thinking Concepts is the first book in The Great Mental Models series designed to upgrade your thinking with the best, most useful and powerful tools so you always have the right one on hand. This volume details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making, productivity, and how clearly you see the world. You will discover what forces govern the universe and how to focus your efforts so you can harness them to your advantage, rather than fight with them or worse yet- ignore them. Upgrade your mental toolbox and get the first volume today. AUTHOR BIOGRAPHY Farnam Street (FS) is one of the world's fastest growing websites, dedicated to helping our readers master the best of what other people have already figured out. We curate, examine and explore the timeless ideas and mental models that history's brightest minds have used to live lives of purpose. Our readers include students, teachers, CEOs, coaches, athletes, artists, leaders, followers, politicians and more. They're not defined by gender, age, income, or politics but rather by a shared passion for avoiding problems, making better decisions, and lifelong learning. AUTHOR HOME Ottawa, Ontario, Canada
Learning To Play
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Author : Aske Plaat
language : en
Publisher: Springer
Release Date : 2021-11-22
Learning To Play written by Aske Plaat and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-22 with Computers categories.
In this textbook the author takes as inspiration recent breakthroughs in game playing to explain how and why deep reinforcement learning works. In particular he shows why two-person games of tactics and strategy fascinate scientists, programmers, and game enthusiasts and unite them in a common goal: to create artificial intelligence (AI). After an introduction to the core concepts, environment, and communities of intelligence and games, the book is organized into chapters on reinforcement learning, heuristic planning, adaptive sampling, function approximation, and self-play. The author takes a hands-on approach throughout, with Python code examples and exercises that help the reader understand how AI learns to play. He also supports the main text with detailed pointers to online machine learning frameworks, technical details for AlphaGo, notes on how to play and program Go and chess, and a comprehensive bibliography. The content is class-tested and suitable for advanced undergraduate and graduate courses on artificial intelligence and games. It's also appropriate for self-study by professionals engaged with applications of machine learning and with games development. Finally it's valuable for any reader engaged with the philosophical implications of artificial and general intelligence, games represent a modern Turing test of the power and limitations of AI.