Reinforcement Learning Fundamentals Learning Through Rewards And Punishments
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Reinforcement Learning Fundamentals Learning Through Rewards And Punishments
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Author : Dr. Chithra K
language : en
Publisher: Xoffencerpublication
Release Date : 2023-10-30
Reinforcement Learning Fundamentals Learning Through Rewards And Punishments written by Dr. Chithra K and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-30 with Medical categories.
Reinforcement learning is a subfield within the broader domain of machine learning. The crux of the matter is in selecting the optimal course of action to maximize prospective profitability within a given set of conditions. It is utilized by various software and computers to determine the optimal course of action or action route to effectively respond to a given event. In the process of supervised learning, the training data includes the ground truth, and the model is trained using the correct response. In contrast, in the context of reinforcement learning, the absence of a definitive correct answer is seen. Instead, the reinforcement agent exercises its discretion in selecting the appropriate behaviors required to successfully complete the assigned task. This observation highlights a significant distinction between the two modalities of learning. In supervised learning, the training dataset contains the solution key, enabling the model to be trained using the correct answers directly. In the context of unsupervised learning, the model is trained using erroneous or inaccurate responses. Without access to a training dataset, it is implausible for the system to acquire knowledge by any alternative means. The mathematical impossibility of the situation is evident. Reinforcement learning (RL) is a subfield within the domain of artificial intelligence (AI) that focuses on the examination and analysis of decision-making processes. The objective of this study is to ascertain the optimal approach for individuals to navigate a certain context, with the aim of maximizing the potential outcomes resulting from their endeavors. The data employed in reinforcement learning (RL) is obtained through many machine learning algorithms, each of which acquires knowledge through its distinct iteration of the trial-and-error process. Data is not considered a constituent of the input employed in either supervised or unsupervised machine learning methodologies. Both of these machine learning algorithms are not classified as "supervised." Reinforcement learning is a computational approach that involves the utilization of algorithms to acquire knowledge from previous actions' consequences and afterwards choose the most advantageous path of action. Following each stage, the algorithm is provided with input that aids in evaluating the appropriateness, neutrality, or inaccuracy.
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.
Grokking Deep Reinforcement Learning
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Author : Miguel Morales
language : en
Publisher: Manning
Release Date : 2020-11-10
Grokking Deep Reinforcement Learning written by Miguel Morales and has been published by Manning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-10 with Computers categories.
Grokking Deep Reinforcement Learning uses engaging exercises to teach you how to build deep learning systems. This book combines annotated Python code with intuitive explanations to explore DRL techniques. You’ll see how algorithms function and learn to develop your own DRL agents using evaluative feedback. Summary We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment. Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching. You'll love the perfectly paced teaching and the clever, engaging writing style as you dig into this awesome exploration of reinforcement learning fundamentals, effective deep learning techniques, and practical applications in this emerging field. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology We learn by interacting with our environment, and the rewards or punishments we experience guide our future behavior. Deep reinforcement learning brings that same natural process to artificial intelligence, analyzing results to uncover the most efficient ways forward. DRL agents can improve marketing campaigns, predict stock performance, and beat grand masters in Go and chess. About the book Grokking Deep Reinforcement Learning uses engaging exercises to teach you how to build deep learning systems. This book combines annotated Python code with intuitive explanations to explore DRL techniques. You’ll see how algorithms function and learn to develop your own DRL agents using evaluative feedback. What's inside An introduction to reinforcement learning DRL agents with human-like behaviors Applying DRL to complex situations About the reader For developers with basic deep learning experience. About the author Miguel Morales works on reinforcement learning at Lockheed Martin and is an instructor for the Georgia Institute of Technology’s Reinforcement Learning and Decision Making course. Table of Contents 1 Introduction to deep reinforcement learning 2 Mathematical foundations of reinforcement learning 3 Balancing immediate and long-term goals 4 Balancing the gathering and use of information 5 Evaluating agents’ behaviors 6 Improving agents’ behaviors 7 Achieving goals more effectively and efficiently 8 Introduction to value-based deep reinforcement learning 9 More stable value-based methods 10 Sample-efficient value-based methods 11 Policy-gradient and actor-critic methods 12 Advanced actor-critic methods 13 Toward artificial general intelligence
Computational Models Of Brain And Behavior
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Author : Ahmed A. Moustafa
language : en
Publisher: John Wiley & Sons
Release Date : 2017-09-11
Computational Models Of Brain And Behavior written by Ahmed A. Moustafa and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-11 with Psychology categories.
A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.
Mastering Deep Learning With Tensorflow From Fundamentals To Real World Deployment
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Author : Peter Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-17
Mastering Deep Learning With Tensorflow From Fundamentals To Real World Deployment written by Peter Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-17 with Computers categories.
Explore the realm of artificial intelligence with "Mastering Deep Learning with TensorFlow: From Fundamentals to Real-World Deployment." This all-encompassing guide provides an in-depth understanding of AI, machine learning, and deep learning, powered by TensorFlow—Google's leading AI framework. Whether you're a beginner starting your AI journey or a professional looking to elevate your expertise in AI model deployment, this book is tailored to meet your needs. Covering crucial topics like neural network design, convolutional and recurrent neural networks, natural language processing, and computer vision, it offers a robust introduction to TensorFlow and its AI applications. Through hands-on examples and a focus on practical solutions, you'll learn how to apply TensorFlow to solve real-world challenges. From theoretical foundations to deployment techniques, "Mastering Deep Learning with TensorFlow" takes you through every step, preparing you to build, fine-tune, and deploy advanced AI models. By the end, you’ll be ready to harness TensorFlow’s full potential, making strides in the rapidly evolving field of artificial intelligence. This book is an indispensable resource for anyone eager to engage with or advance in AI.
Basal Ganglia Physiological Behavioral And Computational Studies
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Author : Ahmed A. Moustafa
language : en
Publisher: Frontiers Media SA
Release Date : 2015-05-26
Basal Ganglia Physiological Behavioral And Computational Studies written by Ahmed A. Moustafa and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-26 with Basal ganglia categories.
The basal ganglia has received much attention over the last two decades, as it has been implicated in many neurological and psychiatric disorders. Most of this research—in both animals and humans—attempt to understand the neural and biochemical substrates of basic motor and learning processes, and how these are affected in human patients as well as animal models of brain disorders. The current volume contains research articles and reviews describing basic, pre-clinical and clinical neuroscience research of the basal ganglia written by attendees of the 11th Triennial Meeting of the International Basal Ganglia Society (IBAGS) that was held March 3-7th, 2013 at the Princess Hotel, Eilat, Israel and by researchers of the basal ganglia. Specifically, articles in this volume include research reports on the biochemistry, computational theory, anatomy and physiology of single neurons and functional circuitry of the basal ganglia networks as well as the latest data on animal models of basal ganglia dysfunction and clinical studies in human patients.
How The Mind Comes Into Being
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Author : Martin V. Butz
language : en
Publisher: Oxford University Press
Release Date : 2017-02-09
How The Mind Comes Into Being written by Martin V. Butz and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-09 with Psychology categories.
More than 2000 years ago Greek philosophers were pondering the puzzling dichotomy between our physical bodies and our seemingly non-physical minds. Yet even today, it remains puzzling how our mind controls our body, and vice versa, how our body shapes our mind. How is it that we can think highly abstract thoughts, seemingly fully detached from the actual, physical reality? This book offers an interdisciplinary introduction to embodied cognitive science, addressing the question of how the mind comes into being while actively interacting with and learning from the environment by means of the own body. By pursuing a functional and computational perspective, concrete answers are provided about the fundamental mechanisms and developing structures that must bring the mind about, taking into account insights from biology, neuroscience, psychology, and philosophy as well as from computer science, machine learning, and artificial intelligence. The book provides introductions to the most important challenges and available computational approaches on how the mind comes into being. The book includes exercises, helping the reader to grasp the material and understand it in a broader context. References to further studies, methodological details, and current developments support more advanced studies beyond the covered material. While the book is written in advanced textbook style with the primary target group being undergraduates in cognitive science and related disciplines, readers with a basic scientific background and a strong interest in how the mind works will find this book intriguing and revealing.
Essentials Of Organizational Behavior
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Author : Terri A. Scandura
language : en
Publisher: SAGE Publications
Release Date : 2016-01-01
Essentials Of Organizational Behavior written by Terri A. Scandura and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-01 with Business & Economics categories.
Essentials of Organizational Behavior: An Evidence-Based Approach equips students with the theory, research, and skills they need to be effective leaders and managers in today’s organizations. Author Terri A. Scandura utilizes a toolkit of real-life case studies, assessments, and exercises to teach students how organizational behavior can improve performance at every level in the workplace. With an emphasis on developing critical thinking skills and applying research to real scenarios, this book is a must-have resource for any student looking to enter the professional workforce.
Essentials Of Community Corrections
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Author : Robert D. Hanser
language : en
Publisher: SAGE Publications
Release Date : 2018-01-03
Essentials Of Community Corrections written by Robert D. Hanser and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-03 with Social Science categories.
Essentials of Community Corrections offers students a concise and practical perspective on community corrections while emphasizing successful offender reentry through strong community partnerships. Author Robert D. Hanser draws on his expertise with offender treatment planning, special needs populations, and the comparative criminal justice fields to present a complete introduction to community corrections today. A variety of practical pedagogical tools offer students insights into the daily lives of those working in the field, encouraging students to start thinking like practitioners. Key Features: What Would You Do? assignments give students the chance to apply what they have learned by analyzing real-world scenarios to determine the best course of action for common challenges in community supervision. Applied Theory inserts throughout the book provide a focused application of a specific theory to particular issues in community corrections. Cross-National Perspective boxes demonstrate common themes in community corrections around the world, as well as different approaches used in other countries. Applied Exercises encourage students to reflect on their understanding of each chapter′s content and to demonstrate their competence in using the information, techniques, and processes that they have learned. Food for Thought features at the end of each chapter guide students through a recent research study related to community corrections and include follow-up questions to help students think critically. Sharing Your Opinion questions at the end of each chapter empower students to express their own views on the issues covered in the text. The free, open-access Student Study site features carefully selected video links, access to SAGE journal articles, and more! Instructors.
New Tools To Enhance Posttraumatic Stress Disorder Diagnosis And Treatment
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Author : IOS Press
language : en
Publisher: IOS Press
Release Date : 2013-09-09
New Tools To Enhance Posttraumatic Stress Disorder Diagnosis And Treatment written by IOS Press and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-09 with Psychology categories.
The number of cases of post traumatic stress disorder (PTSD) affecting both combat veterans and survivors of armed conflict has increased in recent years. Exposure to traumatic events can cause PTSD, and the serious consequences of this disorder can often lead to impulsive and destructive behaviors such as drug abuse and uncontrollable anger. Combat related PTSD is also one of the strongest contributing factors to the high suicide risk in returning troops. This book presents the collected papers from the 2012 NATO Advanced Study Institute (ASI): Invisible Wounds – New Tools to Enhance PTSD Diagnosis and Treatment (IW2012), held in Ankara, Turkey, in June 2012. This ASI was attended by 56 scientists and representatives from NATO and Partner countries, and expert contributors from nine different countries were invited to take part in the workshop. The aim of the ASI was to equip participants with an in-depth knowledge of the latest theoretical advances in neuroscience, psychotherapy and pharmacology, and thereby to assist them in the task of assessment, diagnosis, prevention and treatment of PTSD and related co-morbid disorders. The book is divided into four sections: a review of the latest science related to theoretical constructs and associated neurosciences; screening; stress inoculation training; and co-morbid issues: considering the whole person in treatment. This book will provide a valuable resource for all those whose work involves dealing with post traumatic stress disorder.