Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
Many efforts are currently going towards networking smart things from the physical world (e.g. RFID, wireless sensor and actuator networks, embedded devices) on a larger scale. Rat...
Abstract. In the last fifteen years, several research efforts have been directed towards the representation and the analysis of metabolic pathways by using Petri nets. The goal o...
Paolo Baldan, Nicoletta Cocco, Andrea Marin, Marta...
Mobile peer-to-peer groups, which do not require any pre-deployed infrastructure or trusted centralized authority are valuable for a variety of collaborative applications. This wor...
Abstract. Following the successful trend of open source, companies can be observed to open their innovation and development processes towards interested and capable partners inside...
Kathrin M. Moeslein, Angelika C. Bullinger, Jens S...