This paper is concerned with the development of a MultiAgent System (MAS) supporting ubiquitous and personalized interaction with Active Environments. In particular, we propose a ...
Giovanni Cozzolongo, Berardina De Carolis, Sebasti...
Micro-robots will soon be available for deployment by the thousands. Consequently, controlling and coordinating a force this large to accomplish a prescribed task is of great inte...
We describe a system that successfully transfers value function knowledge across multiple subdomains of realtime strategy games in the context of multiagent reinforcement learning....
This paper describes an emotion-based approach to acquire sentiment similarity of word pairs with respect to their senses. Sentiment similarity indicates the similarity between tw...
Mitra Mohtarami, Hadi Amiri, Man Lan, Thanh Phu Tr...
In field environments it is not usually possible to provide robots in advance with valid geometric models of its environment and task element locations. The robot or robot teams ne...