4 search results - page 1 / 1 » Proto-predictive representation of states with simple recurr... |
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
ACSC
2008
IEEE
13 years 6 months ago
2008
IEEE
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
NN
2007
Springer
13 years 3 months ago
2007
Springer
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
AIHC
2007
Springer
13 years 10 months ago
2007
Springer
Affective and human-centered computing have attracted a lot of attention during the past years, mainly due to the abundance of devices and environments able to exploit multimodal i...