Abstract. The current paper presents the evaluation framework and plans developed for the evaluation of the applications to be developed in the context of the
Our current understanding of human interaction with hybrid or augmented environments is very limited. Here we focus on `tangible interaction', denoting systems that rely on e...
This paper presents properties and results of a new framework for sequential decision-making in multiagent settings called interactive partially observable Markov decision process...
Markov Decision Processes are a powerful framework for planning under uncertainty, but current algorithms have difficulties scaling to large problems. We present a novel probabil...
Abstract. This work introduces a new interaction framework for dynamic virtual environments. The proposed system is designed to deal with all possible interactions in a virtual wor...