Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
s of Invited Presentations The Mathematics of Matter and the Mathematics of Mind . . . . . . . . . . . . . 1 David Berlinski A Grand Challenge: Full Reactive Modeling of a Multi-ce...
Abstract-- In robot deployment problems, the fundamental issue is to optimize a steady state performance measure that depends on the spatial configuration of a group of robots. For...
Abstract. Nonlinearities and the lack of accurate quantitative information considerably hamper modeling and system analysis of biochemical networks. Here we propose a procedure for...
M. W. J. M. Musters, Hidde de Jong, P. P. J. van d...
— We propose a diagnosability notion that depends on two parameters denoted as (δd, δm) for the general class of transition systems where the observable output is given by disc...
Maria Domenica Di Benedetto, Stefano Di Gennaro, A...