Abstract. We study the decision theory of a maximally risk-averse investor — one whose objective, in the face of stochastic uncertainties, is to minimize the probability of ever ...
Noam Berger, Nevin Kapur, Leonard J. Schulman, Vij...
Abstract In this paper we address the problem of simultaneous learning and coordination in multiagent Markov decision problems (MMDPs) with infinite state-spaces. We separate this ...
We consider repeated games in which the player, instead of observing the action chosen by the opponent in each game round, receives a feedback generated by the combined choice of ...
Nominee selection plays a key role in nominee-based congestion control, which is essential for multicast services to ensure fairness and congestion avoidance. Without valid design...
As the process technology advances into the deep submicron era, interconnect plays a dominant role in determining circuit performance and signal integrity. Buffer insertion is one...