Machine Learning Methods for Planning

Machine Learning Methods for Planning
Author :
Publisher : Morgan Kaufmann
Total Pages : 555
Release :
ISBN-10 : 9781483221175
ISBN-13 : 1483221172
Rating : 4/5 (172 Downloads)

Book Synopsis Machine Learning Methods for Planning by : Steven Minton

Download or read book Machine Learning Methods for Planning written by Steven Minton and published by Morgan Kaufmann. This book was released on 2014-05-12 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Machine Learning Methods for Planning Related Books

Machine Learning Methods for Planning
Language: en
Pages: 555
Authors: Steven Minton
Categories: Social Science
Type: BOOK - Published: 2014-05-12 - Publisher: Morgan Kaufmann

DOWNLOAD EBOOK

Machine Learning Methods for Planning provides information pertinent to learning methods for planning and scheduling. This book covers a wide variety of learnin
A Concise Introduction to Models and Methods for Automated Planning
Language: en
Pages: 132
Authors: Hector Radanovic
Categories: Computers
Type: BOOK - Published: 2022-05-31 - Publisher: Springer Nature

DOWNLOAD EBOOK

Planning is the model-based approach to autonomous behavior where the agent behavior is derived automatically from a model of the actions, sensors, and goals. T
Planning Algorithms
Language: en
Pages: 844
Authors: Steven M. LaValle
Categories: Computers
Type: BOOK - Published: 2006-05-29 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Planning algorithms are impacting technical disciplines and industries around the world, including robotics, computer-aided design, manufacturing, computer grap
Application of Machine Learning and Deep Learning Methods to Power System Problems
Language: en
Pages: 391
Authors: Morteza Nazari-Heris
Categories: Technology & Engineering
Type: BOOK - Published: 2021-11-21 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments
Deep Learning for Coders with fastai and PyTorch
Language: en
Pages: 624
Authors: Jeremy Howard
Categories: Computers
Type: BOOK - Published: 2020-06-29 - Publisher: O'Reilly Media

DOWNLOAD EBOOK

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with