Abstract. In autonomous indoor navigation some number of localizations and orientations of the vehicle can be learned in advance. No artificial landmarks are required to exist. We...
Wlodzimierz Kasprzak, Ewa Wojciech Szynkiewicz, Mi...
Abstract. Modern incremental and iterative software engineering processes advocate to build software systems by first creating a highly simpliabstract model of the system which is ...
We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...
Ontology matching is the problem of determining correspondences between concepts, properties, and individuals of different heterogeneous ontologies. With this paper we present a n...
Mathias Niepert, Christian Meilicke, Heiner Stucke...
In spoken dialogue systems, Partially Observable Markov Decision Processes (POMDPs) provide a formal framework for making dialogue management decisions under uncertainty, but effi...