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...
Κύριος συγγραφέας: | |
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Μορφή: | Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Hoboken :
John Wiley & Sons,
[2012]
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Σειρά: | IEEE Press series on systems science and engineering.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Περίληψη: | 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. The first book of its kind in this new and g. |
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Φυσική περιγραφή: | 1 online resource (422 pages). |
ISBN: | 9781118266502 1118266501 9781118271537 111827153X 9780470919996 047091999X |
DOI: | 10.1002/9781118266502 |