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ATAL
2007
Springer
16 years 21 days ago
Reinforcement learning in extensive form games with incomplete information: the bargaining case study
We consider the problem of finding optimal strategies in infinite extensive form games with incomplete information that are repeatedly played. This problem is still open in lite...
Alessandro Lazaric, Jose Enrique Munoz de Cote, Ni...
EUROGP
1999
Springer
166views Optimization» more  EUROGP 1999»
15 years 10 months ago
Adapting the Fitness Function in GP for Data Mining
In this paper we describe how the Stepwise Adaptation of Weights (saw) technique can be applied in genetic programming. The saw-ing mechanism has been originally developed for and ...
Jeroen Eggermont, A. E. Eiben, Jano I. van Hemert
IANDC
2006
86views more  IANDC 2006»
15 years 6 months ago
Table design in dynamic programming
Dynamic Programming solves combinatorial optimization problems by recursive decomposition and tabulation of intermediate results. The first step in the design of a dynamic program...
Peter Steffen, Robert Giegerich
ICIP
2005
IEEE
16 years 8 months ago
Finding the global minimum for binary image restoration
Restoring binary images is a problem which arises in various application fields. In our paper, this problem is considered in a variational framework: the sought-after solution min...
Tony F. Chan, Selim Esedoglu, Mila Nikolova
ICML
2009
IEEE
16 years 1 months ago
Fast evolutionary maximum margin clustering
The maximum margin clustering approach is a recently proposed extension of the concept of support vector machines to the clustering problem. Briefly stated, it aims at finding a...
Fabian Gieseke, Tapio Pahikkala, Oliver Kramer