System performance in multi-agent resource allocation systems can often improve if individual agents reduce their activity. Agents in such systems need a way to modulate their ind...
H. Van Dyke Parunak, Sven Brueckner, Robert S. Mat...
This tutorial paper overviews recent developments in optimization-based approaches for resource allocation problems in wireless systems. We begin by overviewing important results i...
Abstract— This paper presents a learning system that uses Qlearning with a resource allocating network (RAN) for behavior learning in mobile robotics. The RAN is used as a functi...
Though plenty of research has been conducted to improve Internet P2P streaming quality perceived by endusers, little has been known about the upper bounds of achievable performanc...
Existing approaches to classifying documents by sentiment include machine learning with features created from n-grams and part of speech. This paper explores a different approach ...