This paper extends the framework of partially observable Markov decision processes (POMDPs) to multi-agent settings by incorporating the notion of agent models into the state spac...
Decentralized partially observable MDPs (DEC-POMDPs) provide a rich framework for modeling decision making by a team of agents. Despite rapid progress in this area, the limited sc...
The Department of Homeland Security (DHS) shifted the focus of airport security in 2004 to incorporate the need to continuously and rapidly adapt security to shifting threats. MIT...
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
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...