2108 search results - page 301 / 422 » Tracking in Reinforcement Learning |
126
Voted
ESANN
2004
15 years 5 months ago
2004
Abstract. This paper proposes a new sliding mode controller using neural networks. Multilayer neural networks with the error back-propagation learning algorithm are used to compens...
114
Voted
AAAI
1994
15 years 4 months ago
1994
Two standard schemes for learning in classifier systems have been proposed in the literature: the bucket brigade algorithm (BBA) and the profit sharing plan (PSP). The BBA is a lo...
142
Voted
BMCBI
2008
15 years 3 months ago
2008
Background: Inferring gene regulatory networks from data requires the development of algorithms devoted to structure extraction. When only static data are available, gene interact...
149
Voted
ICML
1996
IEEE
16 years 4 months ago
1996
IEEE
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
169
Voted
ICCSA
2007
Springer
15 years 7 months ago
2007
Springer
This article presents a contribution to the visual tracking of objects using all the degrees of freedom of an Aibo ERS-7 robot. We approach this issue in a principled way applying ...