Feb. 2, 2024, 9:45 p.m. | Federico Galbiati Ranier X. Gran Brendan D. Jacques Sullivan J. Mulhern Chun-Kit Ngan

cs.LG updates on arXiv.org arxiv.org

This research work aims to develop an analytical approach for optimizing team formation and predicting team performance in a competitive environment based on data on the competitors' skills prior to the team formation. There are several approaches in scientific literature to optimize and predict a team's performance. However, most studies employ fine-grained skill statistics of the individual members or constraints such as teams with a set group of members. Currently, no research tackles the highly constrained domain of the FIRST …

algorithm analysis and analysis competition competitors cs.ai cs.lg cs.ro data environment framework literature performance prediction prior research robotics skills team work

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