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ATAL
2008
Springer
15 years 2 months ago
Analysis of an evolutionary reinforcement learning method in a multiagent domain
Many multiagent problems comprise subtasks which can be considered as reinforcement learning (RL) problems. In addition to classical temporal difference methods, evolutionary algo...
Jan Hendrik Metzen, Mark Edgington, Yohannes Kassa...
77
Voted
AAAI
1997
15 years 1 months ago
Models of Continual Computation
Automated problem solving is viewed typically as the expenditure of computation to solve one or more problems passed to a reasoning system. In response to each problem received, e...
Eric Horvitz
90
Voted
ICTAI
2003
IEEE
15 years 5 months ago
Adaptive Modeling of Biochemical Pathways
In bioinformatics, biochemical pathways can be modeled by many differential equations. It is still an open problem how to fit the huge amount of parameters of the equations to the...
Rüdiger W. Brause
ICANNGA
2007
Springer
161views Algorithms» more  ICANNGA 2007»
15 years 4 months ago
Evolutionary Induction of Decision Trees for Misclassification Cost Minimization
Abstract. In the paper, a new method of decision tree learning for costsensitive classification is presented. In contrast to the traditional greedy top-down inducer in the proposed...
Marek Kretowski, Marek Grzes
101
Voted
EVOW
2001
Springer
15 years 5 months ago
Automated Solution of a Highly Constrained School Timetabling Problem - Preliminary Results
This work introduces a highly constrained school timetabling problem which was modeled from the requirements of a German high school. The concept for solving the problem uses a hyb...
Marc Bufé, Tim Fischer, Holger Gubbels, Cla...