Reinforcement of Rubber: Visualization of Nanofiller and the Reinforcing Mechanism, Kohjiya Shinzo, Kato Atsushi, Ikeda Yuko
Автор: Sutton Richard S., Barto Andrew G. Название: Reinforcement Learning: An Introduction, 2 ed. ISBN: 0262039249 ISBN-13(EAN): 9780262039246 Издательство: MIT Press Рейтинг: Цена: 18850.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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 for 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.
Автор: Mindess, Sidney Название: Developments in the Formulation and Reinforcement of Concrete ISBN: 0081026161 ISBN-13(EAN): 9780081026168 Издательство: Elsevier Science Рейтинг: Цена: 38739.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
In the first edition of this book, Developments in the Formulation and Reinforcement of Concrete, a number of what are often referred to as "specialty" concretes were discussed. These concretes through specialty mix design offer high physical properties and enhanced performance. The information discussed in these chapters is still relevant today, but in the ten years since the first edition was published, a number of other key areas have become increasingly important in modern concrete technology. There is now much more emphasis on sustainability within the cement and concrete industries. This requires a greater emphasis and understanding of some of the major durability problems that the scientist or engineer may encounter, such as chloride corrosion of steel, and alkali-aggregate reactions. There is also increasing use of specifications involving explicit service life requirements (100 years being common), but this is a concept that is still widely misunderstood.
In this second edition of the book all material previously covered on specialty concretes is brought fully up-to-date taking into consideration latest developments and with the addition of new chapters on supplementary cementitious materials; mass concrete; the sustainably of concrete; service life prediction; limestone cements; corrosion of steel in concrete; alkali-aggregate reactions and concrete as a multiscale material the chapters will introduce the reader to some of the most important issues facing the concrete industry today. In keeping with the previous edition, the international team of contributors, are all at the cutting edge in their own areas of research and have wide industrial experience.
With its distinguished editor and international team of contributors, Developments in the Formulation and Reinforcement of Concrete, Second Edition is a standard reference for civil and structural engineers.
Summarizes a wealth of recent research on structural concrete including material microstructure, concrete types, variation and construction techniques
Emphasizes concrete mixture design and applications in civil and structural engineering
Reviews modern concrete materials to novel construction systems, such as the precast industry and structures requiring high-performance concrete
Описание: Shows how to avoid or correct typical behaviour problems, including jumping, barking, and lead-pulling. This title covers hand-feeding; crate and potty training; and basic cues - sit, stay, come here - as well as complex goals, such as bite inhibition and water safety.
Автор: Wang Meng-Jiao, Morris Michael Название: Rubber Reinforcement with Particulate Fillers ISBN: 1569907196 ISBN-13(EAN): 9781569907191 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 31877.00 р. Наличие на складе: Нет в наличии.
Описание: In the rubber industry, one of the most widely practiced processes is the reinforcement of rubber by particulate fillers, especially carbon black and silica. This book covers the most important theoretical and practical aspects of rubber reinforcement.
Название: Reinforcement of Rubber ISBN: 9811537887 ISBN-13(EAN): 9789811537882 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the most recent description of rubber reinforcement, focusing on the network-like structure formation of nanofiller in the rubber matrix under the presence of bound rubber. In the case of natural rubber, the self-reinforcement effect is uniquely functioning, and new template crystallization is suggested.
Автор: Sugiyama Название: Statistical Reinforcement Learning ISBN: 1439856893 ISBN-13(EAN): 9781439856895 Издательство: Taylor&Francis Рейтинг: Цена: 13014.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic reward signals with its past actions. With numerous successful applications in business intelligence, plant control, and gaming, the RL framework is ideal for decision making in unknown environments with large amounts of data.
Supplying an up-to-date and accessible introduction to the field, Statistical Reinforcement Learning: Modern Machine Learning Approaches presents fundamental concepts and practical algorithms of statistical reinforcement learning from the modern machine learning viewpoint. It covers various types of RL approaches, including model-based and model-free approaches, policy iteration, and policy search methods.
Covers the range of reinforcement learning algorithms from a modern perspective
Lays out the associated optimization problems for each reinforcement learning scenario covered
Provides thought-provoking statistical treatment of reinforcement learning algorithms
The book covers approaches recently introduced in the data mining and machine learning fields to provide a systematic bridge between RL and data mining/machine learning researchers. It presents state-of-the-art results, including dimensionality reduction in RL and risk-sensitive RL. Numerous illustrative examples are included to help readers understand the intuition and usefulness of reinforcement learning techniques.
This book is an ideal resource for graduate-level students in computer science and applied statistics programs, as well as researchers and engineers in related fields.
Автор: Taerwe, L. Название: Non-Metallic (FRP) Reinforcement for Concrete Structures ISBN: 0367449013 ISBN-13(EAN): 9780367449018 Издательство: Taylor&Francis Рейтинг: Цена: 10104.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Dealing with a wide range of non-metallic materials, this book opens up possibilities of lighter, more durable structures. It contains contributions from leading international researchers and design engineers.
Автор: Colomй Adriа, Torras Carme Название: Reinforcement Learning of Bimanual Robot Skills ISBN: 3030263282 ISBN-13(EAN): 9783030263287 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book tackles all the stages and mechanisms involved in the learning of manipulation tasks by bimanual robots in unstructured settings, as it can be the task of folding clothes. The first part describes how to build an integrated system, capable of properly handling the kinematics and dynamics of the robot along the learning process.
Автор: Dutta Sayon Название: Reinforcement Learning with Tensorflow ISBN: 1788835727 ISBN-13(EAN): 9781788835725 Издательство: Неизвестно Цена: 10114.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reinforcement learning allows you to develop intelligent, self-learning systems. This book shows you how to put the concepts of Reinforcement Learning to train efficient models.You will use popular reinforcement learning algorithms to implement use-cases in image processing and NLP, by combining the power of TensorFlow and OpenAI Gym.
Автор: Kathryn E. Merrick; Mary Lou Maher Название: Motivated Reinforcement Learning ISBN: 364210035X ISBN-13(EAN): 9783642100352 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the design, application and evaluation of computational models of motivation in reinforcement learning. The performance of these models is demonstrated by applications in simulated game scenarios and a live, open-ended, virtual world.
Название: Recent advances in reinforcement learning ISBN: 0792397053 ISBN-13(EAN): 9780792397052 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Addresses research in the Artificial Intelligence and Neural Network communities. This book includes topics such as the theoretical foundations of dynamic programming approaches, the role of prior knowledge, and methods for improving performance of reinforcement-learning techniques.
Автор: Ciaburro Giuseppe Название: Hands-On Reinforcement Learning with R ISBN: 1789616719 ISBN-13(EAN): 9781789616712 Издательство: Неизвестно Рейтинг: Цена: 6206.00 р. Наличие на складе: Нет в наличии.
Описание: Reinforcement Learning is an exciting part of machine learning. It has uses in technology from autonomous cars to game playing, and creates algorithms that can adapt to environmental changes. This book helps to understand how to implement RL with R, and explores interesting practical examples, such as using tabular Q-learning to control robots.
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