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ATAL
2005
Springer
15 years 3 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
ICONIP
1998
14 years 11 months ago
A Web Oriented Recurrent Neural Network Simulator
YANNS (Yet Another Neural Network Simulator) is a new object-oriented neural network simulator for feedforward networks as well as general recurrent networks. The goal of this pro...
Romuald Boné, Michel Crucianu, Pascal Makri...
ICES
2003
Springer
111views Hardware» more  ICES 2003»
15 years 3 months ago
Spiking Neural Networks for Reconfigurable POEtic Tissue
Abstract. Vertebrate and most invertebrate organisms interact with their environment through processes of adaptation and learning. Such processes are generally controlled by comple...
Jan Eriksson, Oriol Torres, Andrew Mitchell, Gayle...
ISDA
2006
IEEE
15 years 3 months ago
Modular Neural Network Task Decomposition Via Entropic Clustering
The use of monolithic neural networks (such as a multilayer perceptron) has some drawbacks: e.g. slow learning, weight coupling, the black box effect. These can be alleviated by t...
Jorge M. Santos, Luís A. Alexandre, Joaquim...