Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
We believe that future many-core architectures should support a simple and scalable way to execute many threads that are generated by parallel programs. A good candidate to impleme...
This paper introduces a methodology to improve the accessibility of websites with the use of free so-called automatic tools. The methodology has three iterative phases, namely ass...
In content-based communication, information flows towards interested hosts rather than towards specifically set destinations. This new style of communication perfectly fits the...
— State estimation is addressed for a class of discrete-time systems that may switch among different modes taken from a finite set. The system and measurement equations of each ...
Angelo Alessandri, Marco Baglietto, Giorgio Battis...