This contribution presents a deployment exercise of multiagent technology in the domain of deconflicted air-traffic control among several autonomous aerial vehicles (manned as wel...
Information filtering systems constitute a critical component in modern information seeking applications. As the number of users grows and the information available becomes even bi...
In this paper, we propose a policy gradient reinforcement learning algorithm to address transition-independent Dec-POMDPs. This approach aims at implicitly exploiting the locality...
Findings from a data mapping and extraction exercise undertaken as part of the STAR project are described and related to recent work in the area. The exercise was undertaken in con...
Abstract. We present a demo of SCARLET, a technique for discovering relations between two concepts by harvesting the Semantic Web, i.e., automatically finding and exploring multipl...