Team formation through an assessor: choosing MARL agents in pursuit–evasion games
Yue Zhao,
Lushan Ju,
Josè Hernández-Orallo
Abstract:Team formation in multi-agent systems usually assumes the capabilities of each team member are known, and the best formation can be derived from that information. As AI agents become more sophisticated, this characterisation is becoming more elusive and less predictive about the performance of a team in cooperative or competitive situations. In this paper, we introduce a general and flexible way of anticipating the outcome of a game for any lineups (the agents, sociality regimes and any other hyperparameters f… Show more
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