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Book Algorithms for Reinforcement Learning

Download or read book Algorithms for Reinforcement Learning written by Csaba Grossi and published by Springer Nature. This book was released on 2022-05-31 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective. What distinguishes reinforcement learning from supervised learning is that only partial feedback is given to the learner about the learner's predictions. Further, the predictions may have long term effects through influencing the future state of the controlled system. Thus, time plays a special role. The goal in reinforcement learning is to develop efficient learning algorithms, as well as to understand the algorithms' merits and limitations. Reinforcement learning is of great interest because of the large number of practical applications that it can be used to address, ranging from problems in artificial intelligence to operations research or control engineering. In this book, we focus on those algorithms of reinforcement learning that build on the powerful theory of dynamic programming. We give a fairly comprehensive catalog of learning problems, describe the core ideas, note a large number of state of the art algorithms, followed by the discussion of their theoretical properties and limitations. Table of Contents: Markov Decision Processes / Value Prediction Problems / Control / For Further Exploration

Book Reinforcement Learning  second edition

Download or read book Reinforcement Learning second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Social Learning Theory

Download or read book Social Learning Theory written by Albert Bandura and published by . This book was released on 1973 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Effects of Punishment on Human Behavior

Download or read book Effects of Punishment on Human Behavior written by Saul Axelrod and published by Academic Press. This book was released on 2013-10-22 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Effects of Punishment on Human Behavior is a collection of essays that discusses the procedural and ethical issues of the use of electric shock as a treatment for severe behavior problems. The book presents the different types of extraneous aversives and undesirable side effects of punishment. It demonstrates the effectiveness of punishment procedures. The text describes the various aspects of punishment, as applied to human beings. It discusses the ethical and legal issues that challenge the use of punishment. Another topic of interest is the salient characteristics and influences affecting the success of overcorrection. The section that follows describes the types of punishment. The text also provides a conceptual and methodological analysis of a technique called "timeout. The book will provide valuable insights for psychologists, teachers, students, and researchers in the field of behavioral science.

Book Encyclopedia of Child Behavior and Development

Download or read book Encyclopedia of Child Behavior and Development written by Sam Goldstein and published by Springer Science & Business Media. This book was released on 2010-11-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Schedules of Reinforcement

Download or read book Schedules of Reinforcement written by B. F. Skinner and published by B. F. Skinner Foundation. This book was released on 2015-05-20 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Introduction to Business

Download or read book Introduction to Business written by Lawrence J. Gitman and published by . This book was released on 2024-09-16 with total page 1455 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Business covers the scope and sequence of most introductory business courses. The book provides detailed explanations in the context of core themes such as customer satisfaction, ethics, entrepreneurship, global business, and managing change. Introduction to Business includes hundreds of current business examples from a range of industries and geographic locations, which feature a variety of individuals. The outcome is a balanced approach to the theory and application of business concepts, with attention to the knowledge and skills necessary for student success in this course and beyond. This is an adaptation of Introduction to Business by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.

Book Learning Theory and Behavior

    Book Details:
  • Author : Orval Hobart Mowrer
  • Publisher : Legare Street Press
  • Release : 2023-07-22
  • ISBN : 9781022894099
  • Pages : 0 pages

Download or read book Learning Theory and Behavior written by Orval Hobart Mowrer and published by Legare Street Press. This book was released on 2023-07-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the theories and practices of behaviorism in this insightful book by noted psychologist Hobart Orval Mowrer. From the basics of conditioning to the complex issues surrounding motivation and reinforcement, this book provides a thorough overview of the underlying principles that govern human behavior. Whether you're a psychology student or simply interested in understanding human behavior, Learning Theory and Behavior is an essential addition to your library. This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Book Goal Directed Decision Making

Download or read book Goal Directed Decision Making written by Richard W. Morris and published by Academic Press. This book was released on 2018-08-23 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: Goal-Directed Decision Making: Computations and Neural Circuits examines the role of goal-directed choice. It begins with an examination of the computations performed by associated circuits, but then moves on to in-depth examinations on how goal-directed learning interacts with other forms of choice and response selection. This is the only book that embraces the multidisciplinary nature of this area of decision-making, integrating our knowledge of goal-directed decision-making from basic, computational, clinical, and ethology research into a single resource that is invaluable for neuroscientists, psychologists and computer scientists alike. The book presents discussions on the broader field of decision-making and how it has expanded to incorporate ideas related to flexible behaviors, such as cognitive control, economic choice, and Bayesian inference, as well as the influences that motivation, context and cues have on behavior and decision-making. - Details the neural circuits functionally involved in goal-directed decision-making and the computations these circuits perform - Discusses changes in goal-directed decision-making spurred by development and disorders, and within real-world applications, including social contexts and addiction - Synthesizes neuroscience, psychology and computer science research to offer a unique perspective on the central and emerging issues in goal-directed decision-making

Book Foundations of Deep Reinforcement Learning

Download or read book Foundations of Deep Reinforcement Learning written by Laura Graesser and published by Addison-Wesley Professional. This book was released on 2019-11-20 with total page 629 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and Practice Deep reinforcement learning (deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems. In the past decade deep RL has achieved remarkable results on a range of problems, from single and multiplayer games—such as Go, Atari games, and DotA 2—to robotics. Foundations of Deep Reinforcement Learning is an introduction to deep RL that uniquely combines both theory and implementation. It starts with intuition, then carefully explains the theory of deep RL algorithms, discusses implementations in its companion software library SLM Lab, and finishes with the practical details of getting deep RL to work. This guide is ideal for both computer science students and software engineers who are familiar with basic machine learning concepts and have a working understanding of Python. Understand each key aspect of a deep RL problem Explore policy- and value-based algorithms, including REINFORCE, SARSA, DQN, Double DQN, and Prioritized Experience Replay (PER) Delve into combined algorithms, including Actor-Critic and Proximal Policy Optimization (PPO) Understand how algorithms can be parallelized synchronously and asynchronously Run algorithms in SLM Lab and learn the practical implementation details for getting deep RL to work Explore algorithm benchmark results with tuned hyperparameters Understand how deep RL environments are designed Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Book The Leader in Me

    Book Details:
  • Author : Stephen R. Covey
  • Publisher : Simon and Schuster
  • Release : 2012-12-11
  • ISBN : 147110446X
  • Pages : 218 pages

Download or read book The Leader in Me written by Stephen R. Covey and published by Simon and Schuster. This book was released on 2012-12-11 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Children in today's world are inundated with information about who to be, what to do and how to live. But what if there was a way to teach children how to manage priorities, focus on goals and be a positive influence on the world around them? The Leader in Meis that programme. It's based on a hugely successful initiative carried out at the A.B. Combs Elementary School in North Carolina. To hear the parents of A. B Combs talk about the school is to be amazed. In 1999, the school debuted a programme that taught The 7 Habits of Highly Effective Peopleto a pilot group of students. The parents reported an incredible change in their children, who blossomed under the programme. By the end of the following year the average end-of-grade scores had leapt from 84 to 94. This book will launch the message onto a much larger platform. Stephen R. Covey takes the 7 Habits, that have already changed the lives of millions of people, and shows how children can use them as they develop. Those habits -- be proactive, begin with the end in mind, put first things first, think win-win, seek to understand and then to be understood, synergize, and sharpen the saw -- are critical skills to learn at a young age and bring incredible results, proving that it's never too early to teach someone how to live well.

Book Adaptive Learning  Behavior Modification with Children

Download or read book Adaptive Learning Behavior Modification with Children written by Ernest George Poser and published by Pergamon. This book was released on 1973 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report is the annual analysis of large scale layoff events for the 2000 calendar year. The analysis includes details about the characteristics of dislocated workers.

Book Data Driven Science and Engineering

Download or read book Data Driven Science and Engineering written by Steven L. Brunton and published by Cambridge University Press. This book was released on 2022-05-05 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Book Beyond Freedom and Dignity

Download or read book Beyond Freedom and Dignity written by B. F. Skinner and published by Hackett Publishing. This book was released on 2002-03-15 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this profound and profoundly controversial work, a landmark of 20th-century thought originally published in 1971, B. F. Skinner makes his definitive statement about humankind and society. Insisting that the problems of the world today can be solved only by dealing much more effectively with human behavior, Skinner argues that our traditional concepts of freedom and dignity must be sharply revised. They have played an important historical role in our struggle against many kinds of tyranny, he acknowledges, but they are now responsible for the futile defense of a presumed free and autonomous individual; they are perpetuating our use of punishment and blocking the development of more effective cultural practices. Basing his arguments on the massive results of the experimental analysis of behavior he pioneered, Skinner rejects traditional explanations of behavior in terms of states of mind, feelings, and other mental attributes in favor of explanations to be sought in the interaction between genetic endowment and personal history. He argues that instead of promoting freedom and dignity as personal attributes, we should direct our attention to the physical and social environments in which people live. It is the environment rather than humankind itself that must be changed if the traditional goals of the struggle for freedom and dignity are to be reached. Beyond Freedom and Dignity urges us to reexamine the ideals we have taken for granted and to consider the possibility of a radically behaviorist approach to human problems--one that has appeared to some incompatible with those ideals, but which envisions the building of a world in which humankind can attain its greatest possible achievements.

Book Plant Sensing   Communication

    Book Details:
  • Author : Richard Karban
  • Publisher : University of Chicago Press
  • Release : 2015-06-18
  • ISBN : 022626484X
  • Pages : 251 pages

Download or read book Plant Sensing Communication written by Richard Karban and published by University of Chicago Press. This book was released on 2015-06-18 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: The news that a flowering weed—mousear cress (Arabidopsis thaliana)—can sense the particular chewing noise of its most common caterpillar predator and adjust its chemical defenses in response led to headlines announcing the discovery of the first “hearing” plant. As plants lack central nervous systems (and, indeed, ears), the mechanisms behind this “hearing” are unquestionably very different from those of our own acoustic sense, but the misleading headlines point to an overlooked truth: plants do in fact perceive environmental cues and respond rapidly to them by changing their chemical, morphological, and behavioral traits. In Plant Sensing and Communication, Richard Karban provides the first comprehensive overview of what is known about how plants perceive their environments, communicate those perceptions, and learn. Facing many of the same challenges as animals, plants have developed many similar capabilities: they sense light, chemicals, mechanical stimulation, temperature, electricity, and sound. Moreover, prior experiences have lasting impacts on sensitivity and response to cues; plants, in essence, have memory. Nor are their senses limited to the processes of an individual plant: plants eavesdrop on the cues and behaviors of neighbors and—for example, through flowers and fruits—exchange information with other types of organisms. Far from inanimate organisms limited by their stationary existence, plants, this book makes unquestionably clear, are in constant and lively discourse.

Book Contingencies of Reinforcement

Download or read book Contingencies of Reinforcement written by B. F. Skinner and published by B. F. Skinner Foundation. This book was released on 2014-07-01 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: B. F. Skinner titled this book, Contingencies of Reinforcement, after the heart of his science of behavior. Contingencies relate classes of actions to postcedent events and to the contexts in which those action-postcedent relations occur. The basic processes seem straightforward, but many people do not know or understand the underlying theory. Skinner believed that ‘a theory is essential to the scientific understanding of behavior as a subject matter”. This book presents some of Skinner’s most sophisticated statements about theoretical issues. To his original articles, he added notes to clarify and expand subtle points. The book thus provides an overview of Skinner’s thinking about theory and the philosophy underpinning the science he began.

Book Learning  Reinforcement Theory

Download or read book Learning Reinforcement Theory written by Fred Simmons Keller and published by . This book was released on 1969 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: