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» Game-Theoretic Learning Using the Imprecise Dirichlet Model
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ICNC
2005
Springer
13 years 10 months ago
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
Joseph P. Herbert, Jingtao Yao
ATAL
2007
Springer
13 years 10 months ago
Theoretical advantages of lenient Q-learners: an evolutionary game theoretic perspective
This paper presents the dynamics of multiple reinforcement learning agents from an Evolutionary Game Theoretic (EGT) perspective. We provide a Replicator Dynamics model for tradit...
Liviu Panait, Karl Tuyls
JMLR
2008
92views more  JMLR 2008»
13 years 4 months ago
Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective
This paper presents the dynamics of multiple learning agents from an evolutionary game theoretic perspective. We provide replicator dynamics models for cooperative coevolutionary ...
Liviu Panait, Karl Tuyls, Sean Luke
ISIPTA
2005
IEEE
161views Mathematics» more  ISIPTA 2005»
13 years 10 months ago
Decision making under incomplete data using the imprecise Dirichlet model
The paper presents an efficient solution to decision problems where direct partial information on the distribution of the states of nature is available, either by observations of ...
Lev V. Utkin, Thomas Augustin
ISIPTA
2003
IEEE
119views Mathematics» more  ISIPTA 2003»
13 years 9 months ago
Analysis of Local or Asymmetric Dependencies in Contingency Tables using the Imprecise Dirichlet Model
We consider the statistical problem of analyzing the association between two categorical variables from cross-classified data. The focus is put on measures which enable one to st...
Jean-Marc Bernard