Many current heuristics for domain-independent planning, such as Bonet and Geffner's additive heuristic and Hoffmann and Nebel's FF heuristic, are based on delete relaxa...
Representing agent policies compactly is essential for improving the scalability of multi-agent planning algorithms. In this paper, we focus on developing a pruning technique that...
In this paper we describe an exploratory study on the use of a structured interviewing evaluation technique with 6 to 8 year old children. The study examines whether children are ...
Arnold P. O. S. Vermeeren, Mathilde M. Bekker, Ils...
In this paper we present the ongoing development and extension work on BioTop – a top-domain ontology for linking biomedical domain ontologies. We start by making the case for t...
Holger Stenzhorn, Elena Beisswanger, Stefan Schulz
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...