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129
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ICML
1994
IEEE
15 years 7 months ago
A Modular Q-Learning Architecture for Manipulator Task Decomposition
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...
Chen K. Tham, Richard W. Prager
CGF
2008
105views more  CGF 2008»
15 years 4 months ago
Curvature-Domain Shape Processing
We propose a framework for 3D geometry processing that provides direct access to surface curvature to facilitate advanced shape editing, filtering, and synthesis algorithms. The c...
Michael Eigensatz, Robert W. Sumner, Mark Pauly
MEMBRANE
2005
Springer
15 years 9 months ago
Boolean Circuits and a DNA Algorithm in Membrane Computing
In the present paper we propose a way to simulate Boolean gates and circuits in the framework of P systems with active membranes using inhibiting/de-inhibiting rules. This new appr...
Mihai Ionescu, Tseren-Onolt Ishdorj
122
Voted
RC
1998
82views more  RC 1998»
15 years 3 months ago
A Note on Epsilon-Inflation
Abstract. The epsilon-inflation proved to be useful and necessary in many verification algorithms. Different definitions of an epsilon-inflation are possible, depending on the...
Siegfried M. Rump
ACSW
2006
15 years 5 months ago
Description of bad-signatures for network intrusion detection
Today, a computer network is under constant assault from attacks. In Computer Science, NIDS are used in order to protect a computer network against these intrusions. These systems...
Michael Hilker, Christoph Schommer