748 search results - page 28 / 150 » A Reinforcement Learning Algorithm for Spiking Neural Networ... |
ICANN
2009
Springer
14 years 1 months ago
2009
Springer
Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity ...
IEAAIE
2005
Springer
14 years 26 days ago
2005
Springer
Prediction is an important task in robot motor control where it is used to gain feedback for a controller. With such a self-generated feedback, which is available before sensor rea...
ESANN
2008
13 years 8 months ago
2008
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...
GECCO
2004
Springer
14 years 22 days ago
2004
Springer
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...