Internet-scale security incidents are becoming increasingly common, and the researchers need tools to replicate and study them in a controlled setting. Current network simulators,...
We examine the ability to exploit the hierarchical structure of Internet addresses in order to endow network agents with predictive capabilities. Specifically, we consider Suppor...
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
This paper describes an approach for modeling and implementing a collaborative learning situation, which is part of a real lifelong learning scenario in astronomy. We adopt and sl...
Measuring the efficacy of ITS can be hard because there are many confounding factors: short, well-isolated studies suffer from insufficient interaction with the system, while longe...
Brent Martin, Kenneth R. Koedinger, Antonija Mitro...