Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Abstract. A company's ability to flexibly adapt to changing business requirements is one key factor to remain competitive. The required flexibility in peopledriven processes i...
Christoph Dorn, Thomas Burkhart, Dirk Werth, Schah...
Graphs are called navigable if one can find short paths through them using only local knowledge. It has been shown that for a graph to be navigable, its construction needs to mee...
In order to populate virtual cities, it is necessary to specify the behaviour of dynamic entities such as pedestrians or car drivers. Since a complete mental model based on vision...
: Slow Intelligence Systems are general-purpose systems characterized by being able to improve performance over time through a process involving enumeration, propagation, adaptatio...
Shi-Kuo Chang, Emilio Zegarra, Chia Chun Shih, Tin...