Abstract. The current state of the art regarding scalable reasoning consists of programs that run on a single machine. When the amount of data is too large, or the logic is too com...
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
Reducing circuit's peak current plays an important role in circuit reliability in deep sub-micron era. For sequential circuits, it is observed that the peak current has a str...
Abstract. We introduce a generic framework for hybrid logics, i.e. modal logics additionally featuring nominals and satisfaction operators, thus providing the necessary facilities ...
We present a framework for formal verification of embedded custom memories. Memory verification is complicated ifficulty in abstracting design parameters induced by the inherently ...