2147 search results - page 151 / 430 » Evolutionary Algorithms |
133
Voted
CORR
2010
Springer
15 years 2 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
127
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GECCO
2006
Springer
15 years 6 months ago
2006
Springer
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
103
Voted
ICANNGA
2007
Springer
15 years 8 months ago
2007
Springer
A new method of genetic evolution of linear and nonlinear evaluation functions in the game of checkers is presented. Several practical issues concerning application of genetic algo...
130
Voted
TEC
2002
15 years 2 months ago
2002
It is not unusual that an approximate model is needed for fitness evaluation in evolutionary computation. In this case, the convergence properties of the evolutionary algorithm are...
135
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GECCO
2010
Springer
15 years 7 months ago
2010
Springer
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...