Reinforcement and systemic machine learning for decision making /

Reinforcement and Systemic Machine Learning for Decision MakingThere are always difficulties in making machines that learn from experience. Complete information is not always available--or it becomes available in bits and pieces over a period of time. With respect to systemic learning, there is a ne...

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Bibliographic Details
Main Author: Kulkarni, Parag
Format: eBook
Language:English
Published: Hoboken : John Wiley & Sons, ©2012.
Series:IEEE Press series on systems science and engineering.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:Reinforcement and Systemic Machine Learning for Decision MakingThere are always difficulties in making machines that learn from experience. Complete information is not always available--or it becomes available in bits and pieces over a period of time. With respect to systemic learning, there is a need to understand the impact of decisions and actions on a system over that period of time. This book takes a holistic approach to addressing that need and presents a new paradigm--creating new learning applications and, ultimately, more intelligent machines.
Physical Description:1 online resource (422 pages)
ISBN:9781118266502
1118266501
9781118271537
111827153X
9780470919996
047091999X