In this paper, we introduce ALIDA, an Active Learning Intent Discerning Agent for visual analytics interfaces. As users interact with and explore data in a visual analytics enviro...
Predictive State Representations (PSRs) have shown a great deal of promise as an alternative to Markov models. However, learning a PSR from a single stream of data generated from ...
An open problem in reinforcement learning is discovering hierarchical structure. HEXQ, an algorithm which automatically attempts to decompose and solve a model-free factored MDP h...
In this paper we present a modeling technique for security protocols using Abstract State Machines [BS03,Gur95] (ASMs). We describe how we model the different agents in the scenar...
Dominik Haneberg, Holger Grandy, Wolfgang Reif, Ge...
Abstract. In this paper we consider the following task: given an abstract state machine, characterize the subsets of initial values corresponding to different typical scenarios of...