Abstract. This paper surveys the state-of-the-art in developing multi-agent systems, and sets out to answer the questions: "what are the key current issues in developing multi...
Rafael H. Bordini, Mehdi Dastani, Michael Winikoff
Due to the non-stationary environment, learning in multi-agent systems is a challenging problem. This paper first introduces a new gradient-based learning algorithm, augmenting th...
Trial-based approaches offer an efficient way to solve singleagent MDPs and POMDPs. These approaches allow agents to focus their computations on regions of the environment they en...
— The continuous growth of information sources on the web, together with the corresponding volume of dailyupdated contents, makes the problem of finding news and articles a chal...
Andrea Addis, Giuliano Armano, Francesco Mascia, E...
The distributed nature of peer-to-peer networks offers a solid ground for the deployment of environments where multiple agents, managing several resources, can cooperate in pursuin...