This paper presents a methodology for automatically generating online scheduling strategies for a complex objective defined by a machine provider. To this end, we assume independe...
Carsten Franke, Frank Hoffmann, Joachim Lepping, U...
R-automata are finite state machines extended with counters which can be incremented or reset to zero along the transitions. The universality question asks whether there is a cons...
Control algorithms implemented directly in hardware take advantage of parallel signal processing. Furthermore, implementing controller functionality in reconfigurable hardware fac...
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
This paper proposes an optimization algorithm for reducing the power dissipation in a sequential circuit. The encoding of the different states in a Finite State Machine is modifie...
S. Chuisano, Fulvio Corno, Paolo Prinetto, Maurizi...