Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous framework for sequential decision-making under uncertainty. POMDPs are well-known to be...
This paper presents an adaptive visualization for helping the needle insertion task for RF liver ablation under CT-fluoroscopy (CTfluoro) guidance. It shows slices of the 3D CT-vol...
Ruxandra Lasowski, Selim Benhimane, Jakob Vogel, T...
Abstract. This paper is concerned with the general problem of constructing decision tables and more specifically, with the identification of all possible outcomes of decisions. We ...
Decentralized decision making under uncertainty has been shown to be intractable when each agent has different partial information about the domain. Thus, improving the applicabil...
We investigate search problems under risk in statespace graphs, with the aim of finding optimal paths for risk-averse agents. We consider problems where uncertainty is due to the...