Imitation learning, also called learning by watching or programming by demonstration, has emerged as a means of accelerating many reinforcement learning tasks. Previous work has s...
Intentions have been widely studied in AI, both in the context of decision-making within individual agents and in multiagent systems. Work on intentions in multi-agent systems has...
In cooperative multiagent systems an alternative that maximizes the social welfare--the sum of utilities--can only be selected if each agent reports its full utility function. Thi...
We consider the problem of designing automated strategies for interactions with human subjects, where the humans must be rewarded for performing certain tasks of interest. We focu...
Abstract. In Multi-Agent System, observing other agents and modelling their behaviour represents an essential task: agents must be able to quickly adapt to the environment and infe...
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, ...