Foundations of Learning Classifier Systems

Foundations of Learning Classifier Systems
Автор
 
Год
 
Страниц
 
336

Описание:

This volume brings together recent theoretical work in Learning Classifier Systems (LCS), which is a Machine Learning technique combining Genetic Algorithms and Reinforcement Learning. Foundations of Learning Classifier Systems combines and exploits many Soft Computing approaches into a single coherent framework. It includes self-contained background chapters on related fields (reinforcement learning and evolutionary computation) tailored for a classifier systems audience and written by acknowledged authorities in their area - as well as a relevant historical original work by John Holland.

Похожие книги

Foundations of Learning Classifier Systems (Studies in Fuzziness and Soft Computing) (Studies in Fuzziness and Soft Computing)Foundations of Learning Classifier Systems (Studies in Fuzziness and Soft Computing) (Studies in Fuzziness and Soft Computing)
Автор: Tony Eprile
Год: 2005
A New Method to Design Reinforcements. in Reinforced Earth SlopesA New Method to Design Reinforcements. in Reinforced Earth Slopes
Год: 2011
Dreidimensionale Simulation bewehrter Flachentrag werke aus Beton mit der PlastizitätstheorieDreidimensionale Simulation bewehrter Flachentrag werke aus Beton mit der Plastizitätstheorie
Автор: Haufe A.
Год: 2001
Reinforcement Learning in der Roboter-NavigationReinforcement Learning in der Roboter-Navigation
Год: 2010
METHODS TO TREAT CLASSROOM BEHAVIOR PROBLEMS MAINTAINED BY ESCAPEMETHODS TO TREAT CLASSROOM BEHAVIOR PROBLEMS MAINTAINED BY ESCAPE
Автор: Michael Mueller
Год: 2010
Motivated Reinforcement Learning: Curious Characters for Multiuser GamesMotivated Reinforcement Learning: Curious Characters for Multiuser Games
Автор: Kathryn Merrick
Год: 2009