Unifying first-order logic and probability is a long-standing goal of AI, and in recent years many representations combining aspects of the two have been proposed. However, infere...
Most traditional approaches to probabilistic planning in relationally specified MDPs rely on grounding the problem w.r.t. specific domain instantiations, thereby incurring a com...
Due to increasing complexity of modern real-time image processing applications, classical hardware development at register transfer level becomes more and more the bottleneck of te...
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...
The computation of global illumination in a dynamic scene constitutes a real challenge in computer graphics. In radiosity algorithms, this problem is far from being easy, especial...
Venceslas Biri, Sylvain Michelin, Didier Arqu&egra...