748 search results - page 13 / 150 » A Reinforcement Learning Algorithm for Spiking Neural Networ... |
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
ICANN
2005
Springer
14 years 7 days ago
2005
Springer
For this special session of EU projects in the area of NeuroIT, we will review the progress of the MirrorBot project with special emphasis on its relation to reinforcement learning...
GECCO
2006
Springer
13 years 10 months ago
2006
Springer
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
DELTA
2008
IEEE
13 years 8 months ago
2008
IEEE
We propose a bio-inspired signal processing method for odor discrimination. A spiking neural network is trained with a supervised learning rule so as to classify the analog outputs...
IJCNN
2006
IEEE
14 years 22 days ago
2006
IEEE
— The applicability of complex networks of spiking neurons as a general purpose machine learning technique remains open. Building on previous work using macroscopic exploration o...