Techniques in numerical simulation such as the finite element method depend on basis functions for approximating the geometry and variation of the solution over discrete regions ...
We consider the problem of transmission scheduling of data over a wireless fading channel with hard deadline constraints. Our system consists of N users, each with a fixed amount...
Alessandro Tarello, Jun Sun 0007, Murtaza Zafer, E...
This paper investigates a novel model-free reinforcement learning architecture, the Natural Actor-Critic. The actor updates are based on stochastic policy gradients employing Amari...
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
Abstract. We present the PathCrawler prototype tool for the automatic generation of test-cases satisfying the rigorous all-paths criterion, with a user-defined limit on the number...
Nicky Williams, Bruno Marre, Patricia Mouy, Muriel...