MLFC: From 10 to 50 Planners in the Multi-Agent Programming Contest
Rafael C. Cardoso,
Angelo Ferrando,
Fabio Papacchini
et al.
Abstract:In this paper, we describe the strategies used by our team, MLFC, that led us to achieve the 2 nd place in the 15 th edition of the Multi-Agent Programming Contest. The scenario used in the contest is an extension of the previous edition (14 th ) "Agents Assemble" wherein two teams of agents move around a 2D grid and compete to assemble complex block structures. We discuss the languages and tools used during the development of our team. Then, we summarise the main strategies that were carried over from our pre… Show more
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