Author: Pierre Collet
Publisher: Springer Science & Business Media
ISBN: 3642141552
Category : Computers
Languages : en
Pages : 216
Book Description
The LNCS series reports state-of-the-art results in computer science reserch, development, and education, at a high level and in both printed and electronic form. Enjoying light cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS, including its subseries LNAI and LNBI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. In parallel to the printed book, each new volume is published electronically in LNCS Online.
Artificial Evolution
Author: Pierre Collet
Publisher: Springer Science & Business Media
ISBN: 3642141552
Category : Computers
Languages : en
Pages : 216
Book Description
The LNCS series reports state-of-the-art results in computer science reserch, development, and education, at a high level and in both printed and electronic form. Enjoying light cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS, including its subseries LNAI and LNBI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. In parallel to the printed book, each new volume is published electronically in LNCS Online.
Publisher: Springer Science & Business Media
ISBN: 3642141552
Category : Computers
Languages : en
Pages : 216
Book Description
The LNCS series reports state-of-the-art results in computer science reserch, development, and education, at a high level and in both printed and electronic form. Enjoying light cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS, including its subseries LNAI and LNBI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. In parallel to the printed book, each new volume is published electronically in LNCS Online.
Recent Advances in Reinforcement Learning
Author: Leslie Pack Kaelbling
Publisher: Springer
ISBN: 0585336563
Category : Computers
Languages : en
Pages : 286
Book Description
Recent Advances in Reinforcement Learning addresses current research in an exciting area that is gaining a great deal of popularity in the Artificial Intelligence and Neural Network communities. Reinforcement learning has become a primary paradigm of machine learning. It applies to problems in which an agent (such as a robot, a process controller, or an information-retrieval engine) has to learn how to behave given only information about the success of its current actions. This book is a collection of important papers that address topics including the theoretical foundations of dynamic programming approaches, the role of prior knowledge, and methods for improving performance of reinforcement-learning techniques. These papers build on previous work and will form an important resource for students and researchers in the area. Recent Advances in Reinforcement Learning is an edited volume of peer-reviewed original research comprising twelve invited contributions by leading researchers. This research work has also been published as a special issue of Machine Learning (Volume 22, Numbers 1, 2 and 3).
Publisher: Springer
ISBN: 0585336563
Category : Computers
Languages : en
Pages : 286
Book Description
Recent Advances in Reinforcement Learning addresses current research in an exciting area that is gaining a great deal of popularity in the Artificial Intelligence and Neural Network communities. Reinforcement learning has become a primary paradigm of machine learning. It applies to problems in which an agent (such as a robot, a process controller, or an information-retrieval engine) has to learn how to behave given only information about the success of its current actions. This book is a collection of important papers that address topics including the theoretical foundations of dynamic programming approaches, the role of prior knowledge, and methods for improving performance of reinforcement-learning techniques. These papers build on previous work and will form an important resource for students and researchers in the area. Recent Advances in Reinforcement Learning is an edited volume of peer-reviewed original research comprising twelve invited contributions by leading researchers. This research work has also been published as a special issue of Machine Learning (Volume 22, Numbers 1, 2 and 3).
Advances in Guidance, Navigation and Control
Author: Liang Yan
Publisher: Springer Nature
ISBN: 981158155X
Category : Technology & Engineering
Languages : en
Pages : 5416
Book Description
This book features the latest theoretical results and techniques in the field of guidance, navigation, and control (GNC) of vehicles and aircraft. It covers a range of topics, including, but not limited to, intelligent computing communication and control; new methods of navigation, estimation, and tracking; control of multiple moving objects; manned and autonomous unmanned systems; guidance, navigation, and control of miniature aircraft; and sensor systems for guidance, navigation, and control. Presenting recent advances in the form of illustrations, tables, and text, it also provides detailed information of a number of the studies, to offer readers insights for their own research. In addition, the book addresses fundamental concepts and studies in the development of GNC, making it a valuable resource for both beginners and researchers wanting to further their understanding of guidance, navigation, and control.
Publisher: Springer Nature
ISBN: 981158155X
Category : Technology & Engineering
Languages : en
Pages : 5416
Book Description
This book features the latest theoretical results and techniques in the field of guidance, navigation, and control (GNC) of vehicles and aircraft. It covers a range of topics, including, but not limited to, intelligent computing communication and control; new methods of navigation, estimation, and tracking; control of multiple moving objects; manned and autonomous unmanned systems; guidance, navigation, and control of miniature aircraft; and sensor systems for guidance, navigation, and control. Presenting recent advances in the form of illustrations, tables, and text, it also provides detailed information of a number of the studies, to offer readers insights for their own research. In addition, the book addresses fundamental concepts and studies in the development of GNC, making it a valuable resource for both beginners and researchers wanting to further their understanding of guidance, navigation, and control.
Reinforcement Learning
Author: Zhiqing Xiao
Publisher: Springer Nature
ISBN: 9811949336
Category : Electronic books
Languages : en
Pages : 574
Book Description
Reinforcement Learning: Theory and Python Implementation is a tutorial book on reinforcement learning, with explanations of both theory and applications. Starting from a uniform mathematical framework, this book derives the theory of modern reinforcement learning systematically and introduces all mainstream reinforcement learning algorithms such as PPO, SAC, and MuZero. It also covers key technologies of GPT training such as RLHF, IRL, and PbRL. Every chapter is accompanied by high-quality implementations, and all implementations of deep reinforcement learning algorithms are with both TensorFlow and PyTorch. Codes can be found on GitHub along with their results and are runnable on a conventional laptop with either Windows, macOS, or Linux. This book is intended for readers who want to learn reinforcement learning systematically and apply reinforcement learning to practical applications. It is also ideal to academical researchers who seek theoretical foundation or algorithm enhancement in their cutting-edge AI research.
Publisher: Springer Nature
ISBN: 9811949336
Category : Electronic books
Languages : en
Pages : 574
Book Description
Reinforcement Learning: Theory and Python Implementation is a tutorial book on reinforcement learning, with explanations of both theory and applications. Starting from a uniform mathematical framework, this book derives the theory of modern reinforcement learning systematically and introduces all mainstream reinforcement learning algorithms such as PPO, SAC, and MuZero. It also covers key technologies of GPT training such as RLHF, IRL, and PbRL. Every chapter is accompanied by high-quality implementations, and all implementations of deep reinforcement learning algorithms are with both TensorFlow and PyTorch. Codes can be found on GitHub along with their results and are runnable on a conventional laptop with either Windows, macOS, or Linux. This book is intended for readers who want to learn reinforcement learning systematically and apply reinforcement learning to practical applications. It is also ideal to academical researchers who seek theoretical foundation or algorithm enhancement in their cutting-edge AI research.
Mathematical Ecology - Proceedings Of The Autumn Course Research Seminars International Ctr For Theoretical Physics
Author: Hallam Thomas G
Publisher: #N/A
ISBN: 9814696773
Category :
Languages : en
Pages : 792
Book Description
Publisher: #N/A
ISBN: 9814696773
Category :
Languages : en
Pages : 792
Book Description
Proceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023
Author: Dilmurat Azimov
Publisher: Springer Nature
ISBN: 3031393031
Category : Technology & Engineering
Languages : en
Pages : 403
Book Description
This book showcases a collection of papers that present cutting-edge studies, methods, experiments, and applications in various interdisciplinary fields. These fields encompass optimal control, guidance, navigation, game theory, stability, nonlinear dynamics, robotics, sensor fusion, machine learning, and autonomy. The chapters reveal novel studies and methods, providing fresh insights into the field of optimal guidance and control for autonomous systems. The book also covers a wide range of relevant applications, showcasing how optimal guidance and control techniques can be effectively applied in various domains, including mechanical and aerospace engineering. From robotics to sensor fusion and machine learning, the papers explore the practical implications of these techniques and methodologies.
Publisher: Springer Nature
ISBN: 3031393031
Category : Technology & Engineering
Languages : en
Pages : 403
Book Description
This book showcases a collection of papers that present cutting-edge studies, methods, experiments, and applications in various interdisciplinary fields. These fields encompass optimal control, guidance, navigation, game theory, stability, nonlinear dynamics, robotics, sensor fusion, machine learning, and autonomy. The chapters reveal novel studies and methods, providing fresh insights into the field of optimal guidance and control for autonomous systems. The book also covers a wide range of relevant applications, showcasing how optimal guidance and control techniques can be effectively applied in various domains, including mechanical and aerospace engineering. From robotics to sensor fusion and machine learning, the papers explore the practical implications of these techniques and methodologies.
Systems and Computer Science
Author: John F Hart
Publisher: University of Toronto Press
ISBN: 1487589824
Category : Education
Languages : en
Pages : 319
Book Description
This book presents the papers delivered at the Conference on Systems and Computer Science held at the University of Western Ontario in September 1965. The primary purposes of the Conference were the promotion of research and the development of the teaching of computer science in Canadian universities. The papers focus attention on some of the concepts of Computer Science as a new field of study and at the same time provide a background for scientists looking at the subject for the first time. The chief developments in computer science have been concerned with the "applied" rather than the "pure" areas of the field: numerical analysis, applied statistics and operations research, and data processing. But there is something more to computers than the physical components and this book represents an attempt to correct the imbalance between "applied" and "pure" by drawing attention to certain theoretical aspects of computer and information science. Among the topics discussed are the theory of finite and infinite automata, aspects of formal language theory, heuristic and non-heuristic approaches to theorem proving and the mathematical formulation of the theory of general systems. There are also references to the problems of machine design, to software systems including higher-level languages, to multiple control computer models and to applied systems. This collection of papers will appeal first to graduate students and professors in Computer Science. It will also be of interest to computer scientists in industry and in government and university research groups and to the scientific public interested in discovering some of the principal ingredients and directions of the computer and information sciences.
Publisher: University of Toronto Press
ISBN: 1487589824
Category : Education
Languages : en
Pages : 319
Book Description
This book presents the papers delivered at the Conference on Systems and Computer Science held at the University of Western Ontario in September 1965. The primary purposes of the Conference were the promotion of research and the development of the teaching of computer science in Canadian universities. The papers focus attention on some of the concepts of Computer Science as a new field of study and at the same time provide a background for scientists looking at the subject for the first time. The chief developments in computer science have been concerned with the "applied" rather than the "pure" areas of the field: numerical analysis, applied statistics and operations research, and data processing. But there is something more to computers than the physical components and this book represents an attempt to correct the imbalance between "applied" and "pure" by drawing attention to certain theoretical aspects of computer and information science. Among the topics discussed are the theory of finite and infinite automata, aspects of formal language theory, heuristic and non-heuristic approaches to theorem proving and the mathematical formulation of the theory of general systems. There are also references to the problems of machine design, to software systems including higher-level languages, to multiple control computer models and to applied systems. This collection of papers will appeal first to graduate students and professors in Computer Science. It will also be of interest to computer scientists in industry and in government and university research groups and to the scientific public interested in discovering some of the principal ingredients and directions of the computer and information sciences.
Model Predictive Control
Author: Eduardo F. Camacho
Publisher: Springer Science & Business Media
ISBN: 0857293982
Category : Technology & Engineering
Languages : en
Pages : 405
Book Description
The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. The book demonstrates that a powerful technique does not always require complex control algorithms. Many new exercises and examples have also been added throughout. Solutions available for download from the authors' website save the tutor time and enable the student to follow results more closely even when the tutor isn't present.
Publisher: Springer Science & Business Media
ISBN: 0857293982
Category : Technology & Engineering
Languages : en
Pages : 405
Book Description
The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. The book demonstrates that a powerful technique does not always require complex control algorithms. Many new exercises and examples have also been added throughout. Solutions available for download from the authors' website save the tutor time and enable the student to follow results more closely even when the tutor isn't present.
Control of Nonlinear Dynamical Systems
Author: Felix L. Chernous'ko
Publisher: Springer Science & Business Media
ISBN: 3540707840
Category : Technology & Engineering
Languages : en
Pages : 398
Book Description
This book is devoted to new methods of control for complex dynamical systems and deals with nonlinear control systems having several degrees of freedom, subjected to unknown disturbances, and containing uncertain parameters. Various constraints are imposed on control inputs and state variables or their combinations. The book contains an introduction to the theory of optimal control and the theory of stability of motion, and also a description of some known methods based on these theories. Major attention is given to new methods of control developed by the authors over the last 15 years. Mechanical and electromechanical systems described by nonlinear Lagrange’s equations are considered. General methods are proposed for an effective construction of the required control, often in an explicit form. The book contains various techniques including the decomposition of nonlinear control systems with many degrees of freedom, piecewise linear feedback control based on Lyapunov’s functions, methods which elaborate and extend the approaches of the conventional control theory, optimal control, differential games, and the theory of stability. The distinctive feature of the methods developed in the book is that the c- trols obtained satisfy the imposed constraints and steer the dynamical system to a prescribed terminal state in ?nite time. Explicit upper estimates for the time of the process are given. In all cases, the control algorithms and the estimates obtained are strictly proven.
Publisher: Springer Science & Business Media
ISBN: 3540707840
Category : Technology & Engineering
Languages : en
Pages : 398
Book Description
This book is devoted to new methods of control for complex dynamical systems and deals with nonlinear control systems having several degrees of freedom, subjected to unknown disturbances, and containing uncertain parameters. Various constraints are imposed on control inputs and state variables or their combinations. The book contains an introduction to the theory of optimal control and the theory of stability of motion, and also a description of some known methods based on these theories. Major attention is given to new methods of control developed by the authors over the last 15 years. Mechanical and electromechanical systems described by nonlinear Lagrange’s equations are considered. General methods are proposed for an effective construction of the required control, often in an explicit form. The book contains various techniques including the decomposition of nonlinear control systems with many degrees of freedom, piecewise linear feedback control based on Lyapunov’s functions, methods which elaborate and extend the approaches of the conventional control theory, optimal control, differential games, and the theory of stability. The distinctive feature of the methods developed in the book is that the c- trols obtained satisfy the imposed constraints and steer the dynamical system to a prescribed terminal state in ?nite time. Explicit upper estimates for the time of the process are given. In all cases, the control algorithms and the estimates obtained are strictly proven.
Active Media Technology
Author: Jiming Liu
Publisher: Springer Science & Business Media
ISBN: 3540430350
Category : Computers
Languages : en
Pages : 413
Book Description
The past few years have witnessed rapid scienti?c and technological devel- ments in human-centered, seamless computing environments, interfaces, de- ces, and systems with applications ranging from business and communication to entertainment and learning. These developments are collectively best charac- rized as Active Media Technology (AMT), a new area of information technology and computer science that emphasizes the proactive, seamless roles of interfaces and systems as well as new digital media in all aspects of human life. This - lume contains the papers presented at the Sixth International Computer Science Conference: Active Media Technology (AMT 2001), the ?rst conference of its kind, capturing the state of research and development in AMT and the latest architectures, prototypes, tools, and ?elded systems that demonstrate or enable AMT. The volume is organized into the following eight parts: I. Smart Digital - dia; II. Web Personalization; III. Active Interfaces; IV. Autonomous Agent - proaches; V. Facial Image Processing; VI. AMT-Supported Commerce, Business, Learning, and Health Care; VII. Tools and Techniques; and VIII. Algorithms.
Publisher: Springer Science & Business Media
ISBN: 3540430350
Category : Computers
Languages : en
Pages : 413
Book Description
The past few years have witnessed rapid scienti?c and technological devel- ments in human-centered, seamless computing environments, interfaces, de- ces, and systems with applications ranging from business and communication to entertainment and learning. These developments are collectively best charac- rized as Active Media Technology (AMT), a new area of information technology and computer science that emphasizes the proactive, seamless roles of interfaces and systems as well as new digital media in all aspects of human life. This - lume contains the papers presented at the Sixth International Computer Science Conference: Active Media Technology (AMT 2001), the ?rst conference of its kind, capturing the state of research and development in AMT and the latest architectures, prototypes, tools, and ?elded systems that demonstrate or enable AMT. The volume is organized into the following eight parts: I. Smart Digital - dia; II. Web Personalization; III. Active Interfaces; IV. Autonomous Agent - proaches; V. Facial Image Processing; VI. AMT-Supported Commerce, Business, Learning, and Health Care; VII. Tools and Techniques; and VIII. Algorithms.