We propose a framework for policy generation in continuoustime stochastic domains with concurrent actions and events of uncertain duration. We make no assumptions regarding the co...
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Abstract. We describe a proximity query algorithm for the exact minimum distance computation between arbitrarily shaped objects. Special characteristics of the Gilbert-Johnson-Keer...
Marc Gissler, Christian Dornhege, Bernhard Nebel, ...
Abstract— Distributed stream-based applications, such as continuous query systems, have network scale and time characteristics that challenge traditional distributed query optimi...
Jeffrey Shneidman, Peter R. Pietzuch, Matt Welsh, ...
Many artificial intelligence techniques rely on the notion ate" as an abstraction of the actual state of the nd an "operator" as an abstraction of the actions that ...