Download or read book Complexity Analysis of Real time Reinforcement Learning Applied to Finding Shortest Paths in Deterministic Domains written by Carnegie-Mellon University. Computer Science Department and published by . This book was released on 1992 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: The worst-case analysis of the reinforcement learning algorithms is complemented by an empirical study of their average-case complexity in three domains."
Download or read book Recent Advances in Reinforcement Learning written by Leslie Pack Kaelbling and published by Springer. This book was released on 2007-08-28 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).
Download or read book Computational Theories of Interaction and Agency written by Philip Agre and published by MIT Press. This book was released on 1996 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over time the field of artificial intelligence has developed an "agent perspective" expanding its focus from thought to action, from search spaces to physical environments, and from problem-solving to long-term activity. Originally published as a special double volume of the journal Artificial Intelligence, this book brings together fundamental work by the top researchers in artificial intelligence, neural networks, computer science, robotics, and cognitive science on the themes of interaction and agency. It identifies recurring themes and outlines a methodology of the concept of "agency." The seventeen contributions cover the construction of principled characterizations of interactions between agents and their environments, as well as the use of these characterizations to guide analysis of existing agents and the synthesis of artificial agents.Artificial Intelligence series.Special Issues of Artificial Intelligence
Download or read book QofIS 2004 written by Josep Solé-Pareta and published by Springer Science & Business Media. This book was released on 2004-09-21 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the joint refereed proceedings of the 5th International Workshop on Quality of Future Internet Services, QofIS 2004, the First International Workshop on Qos Routing, WOoSR 2004, and the 4th International Workshop on Internet Charging and Qos Technology, ICQT 2004, held in Barcelona, Spain, in September/October 2004. The 38 revised full papers presented were carefully reviewed and selected from a total of around 140 submissions. The papers are organized in topical sections on Internet applications, local area and ad-hoc wireless networks, service differentiation and congestion control, traffic engineering and routing, enforcing mobility, algorithms and scalability for service routing, novel ideas and protocol enhancements, auctions and game theory, charging in mobile networks, and QoS provisioning and monitoring.
Download or read book Proceedings of the 1993 Connectionist Models Summer School written by Michael C. Mozer and published by Psychology Press. This book was released on 2014-03-05 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: The result of the 1993 Connectionist Models Summer School, the papers in this volume exemplify the tremendous breadth and depth of research underway in the field of neural networks. Although the slant of the summer school has always leaned toward cognitive science and artificial intelligence, the diverse scientific backgrounds and research interests of accepted students and invited faculty reflect the broad spectrum of areas contributing to neural networks, including artificial intelligence, cognitive science, computer science, engineering, mathematics, neuroscience, and physics. Providing an accurate picture of the state of the art in this fast-moving field, the proceedings of this intense two-week program of lectures, workshops, and informal discussions contains timely and high-quality work by the best and the brightest in the neural networks field.
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1994 with total page 892 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book High Performance Computing written by Esteban Meneses and published by Springer. This book was released on 2019-03-30 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 5th Latin American Conference, CARLA 2018, held in Bucaramanga, Colombia, in September 2018. The 24 papers presented in this volume were carefully reviewed and selected from 38 submissions. They are organized in topical sections on: Artificial Intelligence; Accelerators; Applications; Performance Evaluation; Platforms and Infrastructures; Cloud Computing.
Download or read book Government Reports Annual Index written by and published by . This book was released on 1993 with total page 1200 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Explanation Based Neural Network Learning written by Sebastian Thrun and published by Springer International Series in Engineering and Computer Science. This book was released on 1996-04-30 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes a paradigm for machine learning that may open a new generation of methods, especially for situations in which a series of different learning tasks provides an opportunity for synergy among them. The explanation-based neural network approach transfers knowledge across multiple learning tasks, allowing domain knowledge accumulated in previous learning efforts to guide generalization in new learning tasks. The result is more accurate generalizations with less data than previous methods. The method is demonstrated in contexts of supervised learning, reinforced learning, robotics, and chess. Annotation copyright by Book News, Inc., Portland, OR
Download or read book Reinforcement Learning Algorithms Analysis and Applications written by Boris Belousov and published by Springer Nature. This book was released on 2021-01-02 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences. Special emphasis is placed on advanced ideas, algorithms, methods, and applications. The contributed papers gathered here grew out of a lecture course on reinforcement learning held by Prof. Jan Peters in the winter semester 2018/2019 at Technische Universität Darmstadt. The book is intended for reinforcement learning students and researchers with a firm grasp of linear algebra, statistics, and optimization. Nevertheless, all key concepts are introduced in each chapter, making the content self-contained and accessible to a broader audience.
Download or read book Multi Robot Systems From Swarms to Intelligent Automata Volume III written by Lynne E. Parker and published by Springer Science & Business Media. This book was released on 2005-04 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings volume documents recent cutting-edge developments in multi-robot systems research. This volume is the result of the Third International workshop on Multi-Robot Systems that was held in March 2005 at the Naval Research Laboratory in Washington, D.C. This workshop brought together top researchers working in areas relevant to designing teams of autonomous vehicles, including robots and unmanned ground, air, surface, and undersea vehicles. The workshop focused on the challenging issues of team architectures, vehicle learning and adaptation, heterogeneous group control and cooperation, task selection, dynamic autonomy, mixed initiative, and human and robot team interaction. A broad range of applications of this technology are presented in this volume, including UCAVS (Unmanned Combat Air Vehicles), micro-air vehicles, UUVs (Unmanned Underwater Vehicles), UGVs (Unmanned Ground vehicles), planetary exploration, assembly in space, clean-up, and urban search and rescue. This proceedings volume represents the contributions of the top researchers in this field and serves as a valuable tool for professionals in this interdisciplinary field.
Download or read book Recent Advances in Reinforcement Learning written by Leslie Pack Kaelbling and published by Springer Science & Business Media. This book was released on 1996-03-31 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).
Download or read book Information Processing in Sensor Networks written by Feng Zhao and published by Springer Science & Business Media. This book was released on 2003-04-10 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Workshop on Information Processing in Sensor Networks, IPSN 2003, held in Palo Alto, CA, USA, in April 2003. The 23 revised full papers and 21 revised poster papers presented were carefully reviewed and selected from 73 submissions. Among the topics addressed are wireless sensor networks, query processing, decentralized sensor platforms, distributed databases, distributed group management, sensor network design, collaborative signal processing, adhoc sensor networks, distributed algorithms, distributed sensor network control, sensor network resource management, data service middleware, random sensor networks, mobile agents, target tracking, sensor network protocols, large scale sensor networks, and multicast.
Download or read book Machine Learning Proceedings 1994 written by William W. Cohen and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1994
Download or read book Reinforcement Learning written by Richard S. Sutton and published by Springer Science & Business Media. This book was released on 1992-05-31 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reinforcement learning is the learning of a mapping from situations to actions so as to maximize a scalar reward or reinforcement signal. The learner is not told which action to take, as in most forms of machine learning, but instead must discover which actions yield the highest reward by trying them. In the most interesting and challenging cases, actions may affect not only the immediate reward, but also the next situation, and through that all subsequent rewards. These two characteristics -- trial-and-error search and delayed reward -- are the most important distinguishing features of reinforcement learning. Reinforcement learning is both a new and a very old topic in AI. The term appears to have been coined by Minsk (1961), and independently in control theory by Walz and Fu (1965). The earliest machine learning research now viewed as directly relevant was Samuel's (1959) checker player, which used temporal-difference learning to manage delayed reward much as it is used today. Of course learning and reinforcement have been studied in psychology for almost a century, and that work has had a very strong impact on the AI/engineering work. One could in fact consider all of reinforcement learning to be simply the reverse engineering of certain psychological learning processes (e.g. operant conditioning and secondary reinforcement). Reinforcement Learning is an edited volume of original research, comprising seven invited contributions by leading researchers.
Download or read book Proceedings of the Eleventh National Conference on Artificial Intelligence written by American Association for Artificial Intelligence and published by . This book was released on 1993 with total page 930 pages. Available in PDF, EPUB and Kindle. Book excerpt: AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence.Topics include: The principles underlying cognition, perception, and action in humans' and machines. The design, application, and evaluation of AI algorithms and intelligent systems. The analysis of tasks and domains in which intelligent systems perform.
Download or read book Proceedings written by and published by . This book was released on 2005 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt:
