Abstract. Q-learning can be used to learn a control policy that maximises a scalar reward through interaction with the environment. Qlearning is commonly applied to problems with d...
Chris Gaskett, David Wettergreen, Alexander Zelins...
This paper advocates the application of multi-agent techniques in the realisation of social robotic behaviour. We present the Social Robot Architecture, which integrates the key e...
Gregory M. P. O'Hare, Brian R. Duffy, Rem W. Colli...
Abstract. We propose ParleE, a quantitative, flexible and adaptive model of emotions for a conversational agent in a multi-agent environment capable of multimodal communication. Pa...
The Duy Bui, Dirk Heylen, Mannes Poel, Anton Nijho...
We present a set of experiments in which a robotic swarm manages to collectively explore the environment, forming a path to navigate between two target areas, which are too distant...
Ever increasing efforts are spent in developing techniques and tools for a full exploitation of semantics in mobile environments, able to overcome volatility and resource limitati...
Michele Ruta, Floriano Scioscia, Eugenio Di Sciasc...