In this article, we present an idea for solving deterministic partially observable markov decision processes (POMDPs) based on a history space containing sequences of past observat...
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
This paper describes an algorithm for the determination of zone content type of a given zone within a document image. We take a statistical based approach and represent each zone ...
We define TTD-MDPs, a novel class of Markov decision processes where the traditional goal of an agent is changed from finding an optimal trajectory through a state space to realiz...
David L. Roberts, Mark J. Nelson, Charles Lee Isbe...
We propose a method for measuring the quality of a grouping result, based on the following observation: a better grouping result provides more information about the true, unknown g...
Erik A. Engbers, Michael Lindenbaum, Arnold W. M. ...