The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...
Decision-making is a crucial aspect of emergency response during mass casualty incidents (MCIs). MCIs require rapid decisions to be taken by geographically-dispersed teams in an en...
Shizhuo Zhu, Joanna Abraham, Sharoda A. Paul, Madh...
Reasoning about agents that we observe in the world is challenging. Our available information is often limited to observations of the agent’s external behavior in the past and p...
H. Van Dyke Parunak, Sven Brueckner, Robert S. Mat...
Most of the research on multiagent systems has focused on the development of rational utility-maximizing agents. However, research shows that emotions have a strong effect on peo...
: Efficient information sharing is very important for emergency and rescue operations. These operations often have to be performed in environments where no communication infrastruc...