254 search results - page 2 / 51 » Ensembles of Neural Networks for Robust Reinforcement Learni... |
NN
2002
Springer
13 years 4 months ago
2002
Springer
ICANN
2009
Springer
13 years 9 months ago
2009
Springer
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
IJCAI
2001
13 years 6 months ago
2001
Neural network ensemble is a learning paradigm where several neural networks are jointly used to solve a problem. In this paper, the relationship between the generalization abilit...
GECCO
2009
Springer
13 years 12 months ago
2009
Springer
A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...
IDEAL
2004
Springer
13 years 10 months ago
2004
Springer
In order for a neural network ensemble to generalise properly, two factors are considered vital. One is the diversity and the other is the accuracy of the networks that comprise th...