Composite Reinforcements for Optimum Performance, Boisse, Philippe

Автор: Edited by Philip J. Corr
Название: The Reinforcement Sensitivity Theory of Personality
ISBN: 0521617367 ISBN-13(EAN): 9780521617369
Издательство: Cambridge Academ
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Описание: A group of leading researchers summarise the Reinforcement Sensitivity Theory (RST) of personality. They consider how the model has been revised and developed and set forth the major problems that need to be addressed by future research. Written for research and applied psychologists, with an interest in personality psychology.

Автор: Yu Dong
Название: Fillers and Reinforcements for Advanced Nanocomposites
ISBN: 0081000790 ISBN-13(EAN): 9780081000793
Издательство: Elsevier Science
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Описание:

Fillers and Reinforcements for Advanced Nanocomposites reviews cutting-edge, state-of-the-art research on the effective use of nanoscaled fillers and reinforcements to enhance the performance of advanced nanocomposites, both in industrial and manufacturing applications. It covers a broad range of topics such as nanocelluloses, nanotubes, nanoplatelets, and nanoparticles, as well as their extensive applications. The chapters provide detailed information on how fillers and reinforcements are used in the fabrication, synthesis and characterization of advanced nanocomposites to achieve extraordinary performance of new materials and significant enhancements in their mechanical, thermal, structural and multi-functional properties. It also highlights new technologies for the fabrication of advanced nanocomposites using innovative electrospinning techniques.

Автор: Sertan Girgin; Manuel Loth; R?mi Munos; Philippe P
Название: Recent Advances in Reinforcement Learning
ISBN: 3540897216 ISBN-13(EAN): 9783540897217
Издательство: Springer
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Описание: Constitutes the revised and selected papers of the 8th European Workshop on Reinforcement Learning, EWRL 2008, which took place in Villeneuve d`Ascq, France, during June 30 - July 3, 2008.

Автор: Matthew Taylor
Название: Transfer in Reinforcement Learning Domains
ISBN: 3642101860 ISBN-13(EAN): 9783642101861
Издательство: Springer
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Описание: In reinforcement learning (RL) problems, learning agents sequentially execute actions with the goal of maximizing a reward signal. This book provides an introduction to the RL transfer problem and discusses methods which demonstrate the promise of this exciting area of research.

Автор: Shimon Whiteson
Название: Adaptive Representations for Reinforcement Learning
ISBN: 3642422314 ISBN-13(EAN): 9783642422317
Издательство: Springer
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Цена: 15672.00 р.
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Описание: Presenting the main results of new algorithms for reinforcement learning, this book also introduces a novel method for devising input representations as well as presenting a way to find a minimal set of features sufficient to describe the agent`s current state.