Motivated Reinforcement Learning
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Motivated Reinforcement Learning
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Author : Kathryn E. Merrick
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-06-12
Motivated Reinforcement Learning written by Kathryn E. Merrick 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 2009-06-12 with Computers categories.
Motivated learning is an emerging research field in artificial intelligence and cognitive modelling. Computational models of motivation extend reinforcement learning to adaptive, multitask learning in complex, dynamic environments – the goal being to understand how machines can develop new skills and achieve goals that were not predefined by human engineers. In particular, this book describes how motivated reinforcement learning agents can be used in computer games for the design of non-player characters that can adapt their behaviour in response to unexpected changes in their environment. This book covers the design, application and evaluation of computational models of motivation in reinforcement learning. The authors start with overviews of motivation and reinforcement learning, then describe models for motivated reinforcement learning. The performance of these models is demonstrated by applications in simulated game scenarios and a live, open-ended virtual world. Researchers in artificial intelligence, machine learning and artificial life will benefit from this book, as will practitioners working on complex, dynamic systems – in particular multiuser, online games.
Intrinsically Motivated Learning In Natural And Artificial Systems
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Author : Gianluca Baldassarre
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-29
Intrinsically Motivated Learning In Natural And Artificial Systems written by Gianluca Baldassarre 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 2013-03-29 with Computers categories.
It has become clear to researchers in robotics and adaptive behaviour that current approaches are yielding systems with limited autonomy and capacity for self-improvement. To learn autonomously and in a cumulative fashion is one of the hallmarks of intelligence, and we know that higher mammals engage in exploratory activities that are not directed to pursue goals of immediate relevance for survival and reproduction but are instead driven by intrinsic motivations such as curiosity, interest in novel stimuli or surprising events, and interest in learning new behaviours. The adaptive value of such intrinsically motivated activities lies in the fact that they allow the cumulative acquisition of knowledge and skills that can be used later to accomplish fitness-enhancing goals. Intrinsic motivations continue during adulthood, and in humans they underlie lifelong learning, artistic creativity, and scientific discovery, while they are also the basis for processes that strongly affect human well-being, such as the sense of competence, self-determination, and self-esteem. This book has two aims: to present the state of the art in research on intrinsically motivated learning, and to identify the related scientific and technological open challenges and most promising research directions. The book introduces the concept of intrinsic motivation in artificial systems, reviews the relevant literature, offers insights from the neural and behavioural sciences, and presents novel tools for research. The book is organized into six parts: the chapters in Part I give general overviews on the concept of intrinsic motivations, their function, and possible mechanisms for implementing them; Parts II, III, and IV focus on three classes of intrinsic motivation mechanisms, those based on predictors, on novelty, and on competence; Part V discusses mechanisms that are complementary to intrinsic motivations; and Part VI introduces tools and experimental frameworks for investigating intrinsic motivations. The contributing authors are among the pioneers carrying out fundamental work on this topic, drawn from related disciplines such as artificial intelligence, robotics, artificial life, evolution, machine learning, developmental psychology, cognitive science, and neuroscience. The book will be of value to graduate students and academic researchers in these domains, and to engineers engaged with the design of autonomous, adaptive robots. The contributing authors are among the pioneers carrying out fundamental work on this topic, drawn from related disciplines such as artificial intelligence, robotics, artificial life, evolution, machine learning, developmental psychology, cognitive science, and neuroscience. The book will be of value to graduate students and academic researchers in these domains, and to engineers engaged with the design of autonomous, adaptive robots.
Intrinsically Motivated Open Ended Learning In Autonomous Robots
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Author : Vieri Giuliano Santucci
language : en
Publisher: Frontiers Media SA
Release Date : 2020-02-19
Intrinsically Motivated Open Ended Learning In Autonomous Robots written by Vieri Giuliano Santucci 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 2020-02-19 with categories.
Intrinsically Motivated Reinforcement Learning A Promising Framework For Developmental Robot Learning
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Author :
language : en
Publisher:
Release Date : 2005
Intrinsically Motivated Reinforcement Learning A Promising Framework For Developmental Robot Learning written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
One of the primary challenges of developmental robotics is the question of how to learn and represent increasingly complex behavior in a self-motivated, open-ended way Barto, Singh, and Chentanez (Barto, Singh, & Chentanez 2004; Singh, Barto, & Chentanez 2004) have recently presented an algorithm for intrinsically motivated reinforcement learning that strives to achieve broad competence in an environment in a task-nonspecific manner by incorporating internal reward to build a hierarchical collection of skills. This paper suggests that with its emphasis on task-general, self-motivated, and hierarchical learning, intrinsically motivated reinforcement learning is an obvious choice for organizing behavior in developmental robotics. We present additional preliminary results from a gridworld abstraction of a robot environment and advocate a layered learning architecture for applying the algorithm on a physically embodied system.
Motivation Science
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Author : Myint Swe Khine
language : en
Publisher: Springer Nature
Release Date : 2024-12-06
Motivation Science written by Myint Swe Khine and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Psychology categories.
This volume explores human-machine collaboration and provides machine-generated auto-summaries of emerging research trends in motivation science. Each chapter presents summaries of pre-defined themes and includes an editor-written introduction. It covers various topics, from classic theories such as Maslow's hierarchy of needs to cutting-edge research in neuroscience and cultural influences on motivation. The book offers valuable insights into what makes us tick and how to harness motivation to improve our lives. The book is organized into six chapters covering interrelated topics such as the motivation science, emotion-based motivation, educational motivation, self-regulated learning, motivation and technology, and motivation and neuroscience. The auto-summaries have been generated by a recursive clustering algorithm via the Dimensions Auto-summarizer by Digital Science. The editor of this book selected which SN content should be auto-summarized and decided its order of appearance. Please note that these are extractive auto-summaries, consisting of original sentences, but are not representative of the original paper, since we do not show the full length of the publication. Please note that only published SN content is represented here, and that machine-generated books are still at an experimental stage.
Intelligent Computing In Engineering And Architecture
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Author : Ian F.C. Smith
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-10-02
Intelligent Computing In Engineering And Architecture written by Ian F.C. Smith 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 2006-10-02 with Architecture categories.
This book constitutes the thoroughly refereed proceedings of the 13th Workshop of the European Group for Intelligent Computing in Engineering and Architecture, EG-ICE 2006, held in Ascona, Switzerland in June 2006. The 59 revised full papers were carefully reviewed and selected from numerous submissions for inclusion in the book. All issues of advanced informatics are covered including a range of techniques.
Computational Models Of Motivation For Game Playing Agents
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Author : Kathryn E. Merrick
language : en
Publisher: Springer
Release Date : 2016-09-22
Computational Models Of Motivation For Game Playing Agents written by Kathryn E. Merrick and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-22 with Computers categories.
The focus of this book is on three influential cognitive motives: achievement, affiliation, and power motivation. Incentive-based theories of achievement, affiliation and power motivation are the basis for competence-seeking behaviour, relationship-building, leadership, and resource-controlling behaviour in humans. In this book we show how these motives can be modelled and embedded in artificial agents to achieve behavioural diversity. Theoretical issues are addressed for representing and embedding computational models of motivation in rule-based agents, learning agents, crowds and evolution of motivated agents. Practical issues are addressed for defining games, mini-games or in-game scenarios for virtual worlds in which computer-controlled, motivated agents can participate alongside human players. The book is structured into four parts: game playing in virtual worlds by humans and agents; comparing human and artificial motives; game scenarios for motivated agents; and evolution and the future of motivated game-playing agents. It will provide game programmers, and those with an interest in artificial intelligence, with the knowledge required to develop diverse, believable game-playing agents for virtual worlds.
Intrinsically Motivated Reinforcement Learning
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Author :
language : en
Publisher:
Release Date : 2005
Intrinsically Motivated Reinforcement Learning written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
Psychologists call behavior intrinsically motivated when it is engaged in for its own sake rather than as a step toward solving a specific problem of clear practical value. But what we learn during intrinsically motivated behavior is essential for our development as competent autonomous entities able to efficiently solve a wide range of practical problems as they arise. In this paper we present initial results from a computational study of intrinsically motivated reinforcement learning aimed at allowing artificial agents to construct and extend hierarchies of reusable skills that are needed for competent autonomy.
50 Years Of Artificial Intelligence
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Author : Max Lungarella
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-10
50 Years Of Artificial Intelligence written by Max Lungarella 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 2007-12-10 with Computers categories.
This Festschrift volume, published in celebration of the 50th Anniversary of Artificial Intelligence, includes 34 refereed papers written by leading researchers in the field of Artificial Intelligence. The papers were carefully selected from the invited lectures given at the 50th Anniversary Summit of AI, held at the Centro Stefano Franscini, Monte Verità, Ascona, Switzerland, July 9-14, 2006. The summit provided a venue for discussions on a broad range of topics.
Ai 2022 Advances In Artificial Intelligence
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Author : Haris Aziz
language : en
Publisher: Springer Nature
Release Date : 2022-12-02
Ai 2022 Advances In Artificial Intelligence written by Haris Aziz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-02 with Computers categories.
This book constitutes the refereed proceedings of the 35th Australasian Joint Conference on Artificial Intelligence, AI 2022, which took place in Perth, WA, Australia, in December 5–8, 2022. The 56 full papers included in this book were carefully reviewed and selected from 90 submissions. They were organized in topical sections as follows: Computer Vision; Deep Learning; Ethical/Explainable AI; Genetic Algorithms; Knowledge Representation and NLP; Machine Learning; Medical AI; Optimization; and Reinforcement Learning.