Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
In this paper we study secure information flow policies in the sense of Meadows [12] and others for aggregated datasets, collectively. We first present a method for combining di...
We wish to endow the manifold M of smooth curves in lRn with a Riemannian metric that allows us to treat continuous morphs (homotopies) between two curves c0 and c1 as trajectorie...
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
: A continuous review two-echelon inventory system with a central warehouse and a number of non-identical retailers is considered. The retailers face independent Poisson demand and...