d abstract) Dominique Unruh 1 Institut f¨ur Algorithmen und Kognitive Systeme, Universit¨at Karlsruhe Am Fasanengarten 5, 76131 Karlsruhe, Germany We show how to model the seman...
Abstract. In this paper we de ne a precise notion of abstraction relation between continuous dynamical systems and discrete state-transition systems. Our main result states that ev...
We present a novel learning framework for pipeline models aimed at improving the communication between consecutive stages in a pipeline. Our method exploits the confidence scores ...
We present a reinforcement learning architecture, Dyna-2, that encompasses both samplebased learning and sample-based search, and that generalises across states during both learni...
The training experiences needed by a learning system may be selected by either an external agent or the system itself. We show that knowledge of the current state of the learner...