Téléchargez le livre : Machine Learning Methods for Planning

Machine Learning Methods for Planning



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Éditeur :

Morgan Kaufmann


Paru le : 2014-05-12



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Description
Machine Learning Methods for Planning provides information pertinent to learning methods for planning and scheduling. This book covers a wide variety of learning methods and learning architectures, including analogical, case-based, decision-tree, explanation-based, and reinforcement learning. Organized into 15 chapters, this book begins with an overview of planning and scheduling and describes some representative learning systems that have been developed for these tasks. This text then describes a learning apprentice for calendar management. Other chapters consider the problem of temporal credit assignment and describe tractable classes of problems for which optimal plans can be derived. This book discusses as well how reactive, integrated systems give rise to new requirements and opportunities for machine learning. The final chapter deals with a method for learning problem decompositions, which is based on an idealized model of efficiency for problem-reduction search. This book is a valuable resource for production managers, planners, scientists, and research workers.
Pages
554 pages
Collection
n.c
Parution
2014-05-12
Marque
Morgan Kaufmann
EAN papier
9781558602489
EAN PDF SANS DRM
9781483221175
Informations sur l'ebook
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
72,44 €

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