Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Due to the complexity of the problem, the majority of the previo...
Abstract Research in information security, risk management and investment has grown in importance over the last few years. However, without reliable estimates on attack probabiliti...
In this paper, we study the procurement problem faced by a buyer who needs to purchase a variety of goods from suppliers applying a so-called total quantity discount policy. This ...
Dries R. Goossens, A. J. T. Maas, Frits C. R. Spie...
Many temporal applications like planning and scheduling can be viewed as special cases of the numeric and symbolic temporal constraint satisfaction problem. Thus we have developed ...
Abstract. This paper addresses the problem of maximizing the capacity of multichannel slotted ALOHA networks subject to a userspecified deadline and a permissible probability of ex...