141 search results - page 27 / 29 » Fuzzy Kanerva-based function approximation for reinforcement... |
SAFECOMP
2004
Springer
14 years 1 months ago
2004
Springer
This paper defines a type of constrained artificial neural network (ANN) that enables analytical certification arguments whilst retaining valuable performance characteristics. ...
NIPS
2001
13 years 9 months ago
2001
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
ICML
1994
IEEE
13 years 11 months ago
1994
IEEE
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
CORR
2004
Springer
13 years 7 months ago
2004
Springer
The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer's option to choose...
IJON
2007
13 years 7 months ago
2007
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...