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...
The explosive growth of the world-wide-web and the emergence of e-commerce has led to the development of recommender systems—a personalized information filtering technology use...
Abstract - Recent advances in multimedia network systems have led to the development of a new generation of applications that associate the use of various multimedia objects. The c...
We describe the development of the CaveUT system, which is a software supporting immersive virtual reality installations based on the Unreal Tournament game engine. CaveUT impleme...
Jeffrey Jacobson, Marc Le Renard, Jean-Luc Lugrin,...
Inductive Logic Programming (ILP) [1] systems are general purpose learners that have had significant success on solving a number of relational problems, particularly from the biol...