Markov decision processes (MDPs) are a very popular tool for decision theoretic planning (DTP), partly because of the welldeveloped, expressive theory that includes effective solu...
It is often useful for a robot to construct a spatial representation of its environment from experiments and observations, in other words, to learn a map of its environment by exp...
Thomas Dean, Dana Angluin, Kenneth Basye, Sean P. ...
In this paper, we present a new online failure forecast system to achieve predictive failure management for fault-tolerant data stream processing. Different from previous reactive ...
Xiaohui Gu, Spiros Papadimitriou, Philip S. Yu, Sh...
— We present in this work a new mechanism based on an innovative hybrid approach for traffic and collision control in wireless ad hoc networks. We combine the well known equatio...
The management of networks has often been ignored in network-based computing systems due to the difficulty of estimating application programs' network latency and bandwidth r...