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BROADNETS
2006
IEEE
15 years 3 months ago
Performance Analysis of Soft-State Lightpath Management in GMPLS-Based WDM Networks
RSVP–TE is a signaling protocol to setup and teardown lightpaths in wavelength–routed GPMLS networks. RSVP– TE uses the soft–state control mechanism to manage lightpaths. ...
Shinya Ishida, Shin'ichi Arakawa, Masayuki Murata
ICANN
2009
Springer
15 years 2 months ago
Learning Complex Population-Coded Sequences
The sequential structure of complex actions is apparently at an abstract “cognitive” level in several regions of the frontal cortex, independent of the control of the immediate...
Kiran V. Byadarhaly, Mithun Perdoor, Suresh Vasa, ...
JUCS
2006
185views more  JUCS 2006»
14 years 9 months ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
ECAL
2007
Springer
15 years 3 months ago
Controlling an Anthropomimetic Robot: A Preliminary Investigation
The human body has a complex skeleton, giving a very high number of degrees of freedom, and is actuated by a large number of elastic elements muscles and tendons. As a consequence,...
Hugo Gravato Marques, Richard Newcombe, Owen Holla...
AUSAI
1999
Springer
15 years 2 months ago
Q-Learning in Continuous State and Action Spaces
Abstract. Q-learning can be used to learn a control policy that maximises a scalar reward through interaction with the environment. Qlearning is commonly applied to problems with d...
Chris Gaskett, David Wettergreen, Alexander Zelins...