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Andrea Addis, Giuliano Armano, Francesco Mascia, E...
In order to generate plans for agents with multiple actuators or agent teams, we must be able to represent and plan using concurrent actions with interacting effects. Historically...
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
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...
A fundamental difficulty faced by cooperative multiagent systems is to find how to efficiently coordinate agents. There are three fundamental processes to solve the coordination pr...