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ESANN
2007
13 years 9 months ago
The Recurrent Control Neural Network
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
Anton Maximilian Schäfer, Steffen Udluft, Han...
ICML
2009
IEEE
14 years 8 months ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
P2P
2009
IEEE
101views Communications» more  P2P 2009»
14 years 2 months ago
Monitoring and Management of Structured Peer-to-Peer Systems
The peer-to-peer paradigm shows the potential to provide the same functionality and quality like client/server based systems, but with much lower costs. In order to control the qu...
Kalman Graffi, Dominik Stingl, Julius Rueckert, Al...
COMCOM
2004
127views more  COMCOM 2004»
13 years 7 months ago
Traffic splitting in a network: split traffic models and applications
The contemporary high-speed networks, e.g. the Internet and asynchronous transfer mode (ATM) networks provide a convenient and cost-effective communication platform to carry the e...
Huei-Wen Ferng, Cheng-Ching Peng
CORR
2010
Springer
114views Education» more  CORR 2010»
13 years 6 months ago
On weakly optimal partitions in modular networks
Abstract. Modularity was introduced as a measure of goodness for the community structure induced by a partition of the set of vertices in a graph. Then, it also became an objective...
José Ignacio Alvarez-Hamelin, Beiró ...