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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Kulkarni, Parag
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Hoboken : John Wiley & Sons, [2012]
Σειρά:IEEE Press series on systems science and engineering.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
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.
Φυσική περιγραφή:1 online resource (422 pages).
ISBN:9781118266502
1118266501
9781118271537
111827153X
9780470919996
047091999X
DOI:10.1002/9781118266502