R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
Abstract— In this paper, we address the problem of lifetime optimization under storage constraint for wireless sensor networks with a mobile sink node. The problem is particularl...
New embedded systems offer rich power management features in the form of multiple operational and non-operational power modes. While they offer mechanisms for better energy effic...
Abstract. Branch predictors are associated with critical design issues for nowadays instruction greedy processors. We study two important domains where the optimization of decision...
Patrick Carribault, Christophe Lemuet, Jean-Thomas...
—We consider data networks in which real-time/near real-time applications require not only successful transmission of packets from source to destination, but also specific end-to...