Robot Learning

Robot Learning is intended for one term advanced Machine Learning courses taken by students from different computer science research disciplines. This text has all the features of a renowned best selling text. It gives a focused introduction to the primary themes in a Robot learning course and demon...

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Μορφή: Online
Γλώσσα:Αγγλικά
Έκδοση: IntechOpen 2021
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Διαθέσιμο Online:ONIX_20210420_9789533071046_238
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collection Directory of Open Access Books
description Robot Learning is intended for one term advanced Machine Learning courses taken by students from different computer science research disciplines. This text has all the features of a renowned best selling text. It gives a focused introduction to the primary themes in a Robot learning course and demonstrates the relevance and practicality of various Machine Learning algorithms to a wide variety of real-world applications from evolutionary techniques to reinforcement learning, classification, control, uncertainty and many other important fields. Salient features: - Comprehensive coverage of Evolutionary Techniques, Reinforcement Learning and Uncertainty. - Precise mathematical language used without excessive formalism and abstraction. - Included applications demonstrate the utility of the subject in terms of real-world problems. - A separate chapter on Anticipatory-mechanisms-of-human-sensory-motor-coordination and biped locomotion. - Collection of most recent research on Robot Learning.
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institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
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publisher IntechOpen
publisherStr IntechOpen
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spelling doab-20.500.12854ir-648822024-04-14T10:28:18Z Robot Learning Jabin, Suraiya Machine learning thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence Robot Learning is intended for one term advanced Machine Learning courses taken by students from different computer science research disciplines. This text has all the features of a renowned best selling text. It gives a focused introduction to the primary themes in a Robot learning course and demonstrates the relevance and practicality of various Machine Learning algorithms to a wide variety of real-world applications from evolutionary techniques to reinforcement learning, classification, control, uncertainty and many other important fields. Salient features: - Comprehensive coverage of Evolutionary Techniques, Reinforcement Learning and Uncertainty. - Precise mathematical language used without excessive formalism and abstraction. - Included applications demonstrate the utility of the subject in terms of real-world problems. - A separate chapter on Anticipatory-mechanisms-of-human-sensory-motor-coordination and biped locomotion. - Collection of most recent research on Robot Learning. 2021-04-20T15:04:10Z 2021-04-20T15:04:10Z 2010 book ONIX_20210420_9789533071046_238 9789533071046 9789535159605 https://directory.doabooks.org/handle/20.500.12854/64882 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/3658/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/285 10.5772/285 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789533071046 9789535159605 IntechOpen 160 open access
spellingShingle Machine learning
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
Robot Learning
title Robot Learning
title_full Robot Learning
title_fullStr Robot Learning
title_full_unstemmed Robot Learning
title_short Robot Learning
title_sort robot learning
topic Machine learning
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
topic_facet Machine learning
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
url ONIX_20210420_9789533071046_238