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                                       Details for article 8 of 14 found articles
 
 
  Hierarchical state-abstracted and socially augmented Q-Learning for reducing complexity in agent-based learning
 
 
Title: Hierarchical state-abstracted and socially augmented Q-Learning for reducing complexity in agent-based learning
Author: Sun, Xueqing
Mao, Tao
Ray, Laura
Shi, Dongqing
Kralik, Jerald
Appeared in: Journal of control theory and applications
Paging: Volume 9 (2011) nr. 3 pages 440-450
Year: 2011
Contents:
Publisher: South China University of Technology and Academy of Mathematics and Systems Science, CAS, Heidelberg
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 8 of 14 found articles
 
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