In this paper, we present a new approach for continuous probabilistic mapping. The objective is to build metric maps of unknown environments through cooperation between multiple au...
To protect critical resources in today’s networked environments, it is desirable to quantify the likelihood of potential multi-step attacks that combine multiple vulnerabilities....
Lingyu Wang, Tania Islam, Tao Long, Anoop Singhal,...
It has been recognised for some time that there are close links between the various logics developed for the analysis of multi-agent systems and the many game-theoretic models dev...
Paolo Ballarini, Michael Fisher, Michael Wooldridg...
This paper presents PrBPRRC (Probabilistic Bipolar Radial Reach Correlation), a change detection method that is robust against illumination changes and background movements. Most ...
—Reinforcement learning (RL) is a valuable learning method when the systems require a selection of control actions whose consequences emerge over long periods for which input– ...