Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
Abstract. Aspect Oriented Modeling (AOM) techniques facilitate separate modeling of concerns and allow for a more flexible composition of these than traditional modeling technique...
Selim Ciraci, Wilke Havinga, Mehmet Aksit, Christo...
— The purpose of this paper is to model the stochastic behavior of nodal prices and use the predicted price differences between zones as the basis for measuring the magnitude and...
We investigate logics and equivalence relations that capture the qualitative behavior of Markov Decision Processes (MDPs). We present Qualitative Randomized Ctl (Qrctl): formulas o...
Luca de Alfaro, Krishnendu Chatterjee, Marco Faell...
Optical motion capture can be classified as an inference problem: given the data produced by a set of cameras, the aim is to extract the hidden state, which in this case encodes t...