Reinforcement Learning

Brains rule the world, and brain-like computation is increasingly used in computers and electronic devices. Brain-like computation is about processing and interpreting data or directly putting forward and performing actions. Learning is a very important aspect. This book is on reinforcement learning...

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Formaat: Online
Taal:Engels
Gepubliceerd in: IntechOpen 2021
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Online toegang:ONIX_20210420_9783902613141_20
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collection Directory of Open Access Books
description Brains rule the world, and brain-like computation is increasingly used in computers and electronic devices. Brain-like computation is about processing and interpreting data or directly putting forward and performing actions. Learning is a very important aspect. This book is on reinforcement learning which involves performing actions to achieve a goal. The first 11 chapters of this book describe and extend the scope of reinforcement learning. The remaining 11 chapters show that there is already wide usage in numerous fields. Reinforcement learning can tackle control tasks that are too complex for traditional, hand-designed, non-learning controllers. As learning computers can deal with technical complexities, the tasks of human operators remain to specify goals on increasingly higher levels. This book shows that reinforcement learning is a very dynamic area in terms of theory and applications and it shall stimulate and encourage new research in this field.
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institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
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publisherStr IntechOpen
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spelling doab-20.500.12854ir-646642024-04-14T10:28:17Z Reinforcement Learning Weber, Cornelius Elshaw, Mark Michael Mayer, Norbert Neural networks & fuzzy systems thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence Brains rule the world, and brain-like computation is increasingly used in computers and electronic devices. Brain-like computation is about processing and interpreting data or directly putting forward and performing actions. Learning is a very important aspect. This book is on reinforcement learning which involves performing actions to achieve a goal. The first 11 chapters of this book describe and extend the scope of reinforcement learning. The remaining 11 chapters show that there is already wide usage in numerous fields. Reinforcement learning can tackle control tasks that are too complex for traditional, hand-designed, non-learning controllers. As learning computers can deal with technical complexities, the tasks of human operators remain to specify goals on increasingly higher levels. This book shows that reinforcement learning is a very dynamic area in terms of theory and applications and it shall stimulate and encourage new research in this field. 2021-04-20T14:52:55Z 2021-04-20T14:52:55Z 2008 book ONIX_20210420_9783902613141_20 9783902613141 9789535158219 https://directory.doabooks.org/handle/20.500.12854/64664 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/2220/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/54 10.5772/54 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9783902613141 9789535158219 IntechOpen 434 open access
spellingShingle Neural networks & fuzzy systems
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
Reinforcement Learning
title Reinforcement Learning
title_full Reinforcement Learning
title_fullStr Reinforcement Learning
title_full_unstemmed Reinforcement Learning
title_short Reinforcement Learning
title_sort reinforcement learning
topic Neural networks & fuzzy systems
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
topic_facet Neural networks & fuzzy systems
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
url ONIX_20210420_9783902613141_20