748 search results - page 15 / 150 » A Reinforcement Learning Algorithm for Spiking Neural Networ... |
IJCNN
2006
IEEE
14 years 23 days ago
2006
IEEE
Abstract— Groups of reinforcement learning agents interacting in a common environment often fail to learn optimal behaviors. Poor performance is particularly common in environmen...
ISCAS
2007
IEEE
14 years 1 months ago
2007
IEEE
- This paper aims at discussing the implementation of simulation systems for SNN based on analog computation cores (neuromimetic ICs). Such systems are an alternative to completely...
IWANN
1999
Springer
13 years 11 months ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
ESANN
2000
13 years 8 months ago
2000
Abstract. For a network of spiking neurons with reasonable postsynaptic potentials, we derive a supervised learning rule akin to traditional error-back-propagation, SpikeProp and s...
ICANN
2009
Springer
13 years 11 months ago
2009
Springer
We present a neural system that recognizes faces under strong variations in pose and illumination. The generalization is learnt completely on the basis of examples of a subset of p...