TEAMSTER: Model-based reinforcement learning for ad hoc teamwork

João G. Ribeiro, Gonçalo Rodrigues, Alberto Sardinha, Francisco S. Melo

Abstract: Highlights•We investigate the use of model-based reinforcement learning in ad hoc teamwork.•We introduce an approach named TEAMSTER, which learns the environment's dynamics.•We showcase our approach's effectiveness in four multi-agent domains.