This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
Abstract. We focus on discrete event systems with a structure of parallel processing, synchronization, and noconcurrency. We use max-plus algebra, which is an effective approach fo...
Abstract. This paper presents algorithms and data structures that exploit a compositional and hierarchical specification to enable more efficient symbolic modelchecking. We encod...
Abstract. Programming errors found early are the cheapest. Tools applying to the early stage of code development exist but either they suffer from false positives (“noise”) or...
Jochen Hoenicke, K. Rustan M. Leino, Andreas Podel...
Abstract— This paper is concerned with control applications over lossy data networks. Sensor data is transmitted to an estimation-control unit over a network, and control command...
Emanuele Garone, Bruno Sinopoli, Alessandro Casavo...