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Reinforcement and Systemic Machine Learning for Decision Making
Reinforcement and Systemic Machine Learning for Decision Making There 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 n...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
John Wiley & Sons
2012
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Acceso en línea: | http://cds.cern.ch/record/1487333 |
Sumario: | Reinforcement and Systemic Machine Learning for Decision Making There 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 an |
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