23 search results - page 4 / 5 » Evolving neural networks for fractured domains |
GECCO
2010
Springer
13 years 9 months ago
2010
Springer
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
PPSN
1994
Springer
13 years 9 months ago
1994
Springer
A general model for the coevolution of cooperating species is presented. This model is instantiated and tested in the domain of function optimization, and compared with a tradition...
GECCO
2007
Springer
13 years 12 months ago
2007
Springer
The problem of how to acquire a model of a physical robot, which is fit for evolution of controllers that can subsequently be used to control that robot, is considered in the con...
CORR
2010
Springer
13 years 5 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 ...
NIPS
2008
13 years 7 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...