Reinforcement and systemic machine learning for decision making /

• Main Author: Kulkarni, Parag
• Format: eBook
• Language: English
• Published: Hoboken : John Wiley & Sons, [2012]
• Series: IEEE Press series on systems science and engineering.
• Subjects: Reinforcement learning.; Machine learning.; Decision making.; Decision Making.; TECHNOLOGY & ENGINEERING > Electronics > General.; Science.; Computer science.; COMPUTERS > Enterprise Applications > Business Intelligence Tools.; COMPUTERS > Intelligence (AI) & Semantics.; Electronic books.
• Physical Description: 1 online resource (422 pages).
• ISBN: 9781118266502; 1118266501; 9781118271537; 111827153X; 9780470919996; 047091999X
• DOI: 10.1002/9781118266502

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.