We consider the fundamental problem of monitoring (i.e. tracking) the belief state in a dynamic system, when the model is only approximately correct and when the initial belief st...
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
This paper considers online stochastic multiple vehicle routing with time windows in which requests arrive dynamically and the goal is to maximize the number of serviced customers...
This paper presents Manas, a Semiotic Engineering epistemic tool for the design of collaborative systems (CoSys) whose aim is to expand the designers’ knowledge and awareness of ...
Clarissa Maria de A. Barbosa, Raquel Oliveira Prat...
We investigate the complexity of earliest query answering for n-ary node selection queries defined by streaming tree automata (STAs). We elaborate an algorithm that selects query ...