Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
Since knowledge bases (KBs) are usually incomplete, they should be able to provide information regarding their own incompleteness, which requires them to introspect on what they k...
Mutual exclusion locks limit concurrency but offer low latency. Software transactional memory (STM) typically has higher latency, but scales well. In this paper we propose transac...
Luke Dalessandro, David Dice, Michael L. Scott, Ni...
We propose an alternative algorithm for solving continuous review inventory model problems for deteriorating items over a ļ¬nite horizon. Our interest focuses on the case of timeā...
Konstantinos E. Parsopoulos, K. Skouri, Michael N....
We present three voting protocols with unconditional privacy and information-theoretic correctness, without assuming any bound on the number of corrupt voters or voting authorities...