113 search results - page 6 / 23 » Predictive state representations with options |
ACSC
2008
IEEE
14 years 11 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...
CORR
2010
Springer
14 years 8 months ago
2010
Springer
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
I3E
2001
14 years 11 months ago
2001
: Addressing new public challenges such as the one-stop government and improved service quality, we introduce serviceflow management as a generic concept to coordinate cross-organi...
NN
2007
Springer
14 years 9 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...
95
Voted
RECOMB
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...