Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
Abstract. Many real objects, such as faces, sculptures, or low-reliefs are composed of many detailed parts that can not be easily modeled by an artist nor by 3D scanning. In this p...
We consider the problem of L2-optimal triangulation from three separate views. Triangulation is an important part of numerous computer vision systems. Under gaussian noise, minimiz...
We address the problem of standardising the semantics of agent communication. The diversity of existing approaches suggests that no single agent communication language can satisfa...
We address the problem of standardising the semantics of agent communication. The diversity of existing approaches suggests that no single agent communication language can satisfac...