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dc.contributor.editorWeber, Cornelius
dc.contributor.editorElshaw, Mark
dc.contributor.editorMichael Mayer, Norbert
dc.date.accessioned2021-04-20T14:52:55Z
dc.date.available2021-04-20T14:52:55Z
dc.date.issued2008
dc.identifierONIX_20210420_9783902613141_20
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/64664
dc.description.abstractBrains 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.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligenceen_US
dc.subject.otherNeural networks & fuzzy systems
dc.titleReinforcement Learning
dc.typebook
oapen.identifier.doi10.5772/54
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9783902613141
oapen.relation.isbn9789535158219
oapen.imprintIntechOpen
oapen.pages434


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