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...
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 ...
—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 ...
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...
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...