Applications of learning to autonomous agents (simulated or real) have often been restricted to learning a mapping from perceived state of the world to the next action to take. Of...
Absorptions are generally employed in Description Logics (DL) reasoners in a uniform way regardless of the structure of an input knowledge base. In this paper we present an approac...
This paper focuses on the foundational role of interactive epistemology in the problem of generating plans for rational agents in multiagent settings. Interactive epistemology dea...
In a number of direction of arrival (DOA) estimation applications there exists prior knowledge about the sources whose bearings are to be determined. We study the case when this p...
Petter Wirfalt, Magnus Jansson, Guillaume Bouleux,...
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...