This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
— In this paper, we present an approach allowing a robot to learn a generative model of its own physical body from scratch using self-perception with a single monocular camera. O...
Demands to match security with performance in Web applications where access to shared data needs to be controlled dynamically make self-protecting security schemes attractive. Yet...
Anne V. D. M. Kayem, Patrick Martin, Selim G. Akl,...
In discrete dynamical systems change results from actions. As such, given a set of observations, diagnoses often take the form of posited events that result in the observed behavi...
Shirin Sohrabi, Jorge A. Baier, Sheila A. McIlrait...
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...