Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Abstract. This paper presents the overall system of a learning, selforganizing, and adaptive controller used to optimize the combustion process in a hard-coal fired power plant. T...
Erik Schaffernicht, Volker Stephan, Klaus Debes, H...
— A mixed-signal architecture for continuous-time multidimensional model-free optimization is presented. It is based on multi-channel coherent modulation and detection that relia...
Dimitrios N. Loizos, Paul-Peter Sotiriadis, Gert C...
—In this paper, we propose a new streaming protocol, namely Dynamic Video Rate Control (DVRC), which enables adaptive video delivery over the Internet. DVRC operates on top of UD...
Abstract— Direct physical human-robot interaction has become a central part in the research field of robotics today. To use the advantages of the potential for humans and robots...
Claus Lenz, Markus Rickert, Giorgio Panin, Alois K...