We present an algorithm called Optimistic Linear Programming (OLP) for learning to optimize average reward in an irreducible but otherwise unknown Markov decision process (MDP). O...
We study active integrity constraints and revision programming, two formalisms designed to describe integrity constraints on databases and to specify policies on preferred ways to...
Visual compliance has emerged as a new paradigm to ensure that employees comply with processes and policies in a business context [1]. In this paper, we focus on videos from retai...
We analyze the problem of pricing and hedging contingent claims in the multi-period, discrete time, discrete state case using the concept of a sufficiently attractive expected gai...
Abstract. In this paper we tackle the problem of designing and implementing a framework for programming service coordination policies. In particular, we illustrate the design and t...
Gian Luigi Ferrari, Roberto Guanciale, Daniele Str...