In the discrete filtering problem, a data sequence over a finite alphabet is assumed to be corrupted by a discrete memoryless channel. The goal is to reconstruct the clean sequenc...
Erik Ordentlich, Tsachy Weissman, Marcelo J. Weinb...
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
This paper proposes a capital accumulation model with a random stopping time corresponding to the occurrence of an environmental catastrophe. Depending on the preventive capital s...
We present two classes of distributed algorithms called DRBA and DOBA, for decentralized, proactive resource allocation in asynchronous real-time distributed systems. The objectiv...
In this paper we study one-clock priced timed automata in which prices can grow linearly ( ˙p = k) or exponentially ( ˙p = kp), with discontinuous updates on edges. We propose E...
Patricia Bouyer, Uli Fahrenberg, Kim G. Larsen, Ni...