125 search results - page 20 / 25 » Reinforcement Learning in Continuous Time and Space |
NN
2000
Springer
13 years 8 months ago
2000
Springer
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
ML
2002
ACM
13 years 8 months ago
2002
ACM
Abstract. The problemof state abstractionis of centralimportancein optimalcontrol,reinforcement learning and Markov decision processes. This paper studies the case of variable reso...
CSDA
2007
13 years 8 months ago
2007
In blind source separation, there are M sources that produce sounds independently and continuously over time. These sounds are then recorded by m receivers. The sound recorded by ...
NIPS
2004
13 years 10 months ago
2004
Clustering and prediction of sets of curves is an important problem in many areas of science and engineering. It is often the case that curves tend to be misaligned from each othe...
ISCAS
2002
IEEE
14 years 1 months ago
2002
IEEE
We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...