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dc.contributor.editorJabin, Suraiya
dc.date.accessioned2021-04-20T15:04:10Z
dc.date.available2021-04-20T15:04:10Z
dc.date.issued2010
dc.identifierONIX_20210420_9789533071046_238
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/64882
dc.description.abstractRobot 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.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligenceen_US
dc.subject.otherMachine learning
dc.titleRobot Learning
dc.typebook
oapen.identifier.doi10.5772/285
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9789533071046
oapen.relation.isbn9789535159605
oapen.imprintIntechOpen
oapen.pages160


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