We present an approach that uses Q-learning on individual robotic agents, for coordinating a missiontasked team of robots in a complex scenario. To reduce the size of the state sp...
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
Abstract. This paper addresses the implementation of pervasive Java Web applications using a development approach that is based on the Model-ViewController (MVC) design pattern. We...
In this theoretical paper, we compare the "classical" learning techniques used to infer regular grammars from positive examples with the ones used to infer categorial gra...
We study decision problems for parameterized verification of a formal model of Ad Hoc Networks with selective broadcast and spontaneous movement. The communication topology of a ne...
Giorgio Delzanno, Arnaud Sangnier, Gianluigi Zavat...