This paper deals with a model of decision– making in two stages. In the first stage from a set of expertises one chooses the most rational ones, while in the second stage one o...
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
Spectral techniques have found many applications in computeraided design, including synthesis, verification, and testing. Decision diagram representations permit spectral coeffici...
Whitney J. Townsend, Mitchell A. Thornton, Rolf Dr...
Most data mining algorithms and tools stop at discovered customer models, producing distribution information on customer profiles. Such techniques, when applied to industrial pro...
We address the problem of computing an optimal value function for Markov decision processes. Since finding this function quickly and accurately requires substantial computation ef...