Abstract. Searching for information in large rather unstructured realworld data sets is a dicult task, because the user expects immediate responses as well as high-quality search ...
Nils Weber, Lars Braubach, Alexander Pokahr, Winfr...
Automatically generating location overviews in the form of both visual and textual descriptions is highly desired for online services such as travel planning, to provide attractiv...
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
This article describes the software architecture of an autonomous, interactive tour-guide robot. It presents a modular, distributed software architecture, which integrates localiz...
Wolfram Burgard, Armin B. Cremers, Dieter Fox, Dir...
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...