We consider the problem of estimating the policy gradient in Partially Observable Markov Decision Processes (POMDPs) with a special class of policies that are based on Predictive ...
—We propose a new methodology based on Mixed Integer Linear Programming (MILP) for determining the input values that will exercise a specified execution path in a program. In or...
The Gaussian approximation is known to be quite accurate for estimating the system performance of an optically pre–amplified on-off keying (OOK) system in the presence of multipl...
Denotational static analysis of Java bytecode has a nice and clean compositional definition and an efficient implementation with binary decision diagrams. But it models only the f...
This paper deals with preference representation and elicitation in the context of multiattribute utility theory under risk. Assuming the decision maker behaves according to the EU...