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JCP
2007
143views more  JCP 2007»
15 years 3 months ago
Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization
Abstract— We describe a general method to transform a non-Markovian sequential decision problem into a supervised learning problem using a K-bestpaths algorithm. We consider an a...
Nicolas Chapados, Yoshua Bengio
COR
2011
14 years 11 months ago
A Lagrangian heuristic for satellite range scheduling with resource constraints
The task of scheduling communications between satellites and ground control stations is getting more and more critical since an increasing number of satellites must be controlled ...
Fabrizio Marinelli, Salvatore Nocella, Fabrizio Ro...
CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
15 years 7 months ago
Robustness analysis for Least Squares kernel based regression: an optimization approach
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
HICSS
2003
IEEE
99views Biometrics» more  HICSS 2003»
15 years 9 months ago
Towards Feasible Topology Formation Algorithms for Bluetooth-based WPANs
In this paper, we tackle the problem of topology formation in Bluetooth Wireless Personal Area Networks (BTWPANs). We first overview and extend a previously proposed centralized ...
Carla-Fabiana Chiasserini, Marco Ajmone Marsan, El...
ESANN
2007
15 years 5 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...