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SportsNGEN: Sustained Generation of Multi-player Sports Gameplay
March 21, 2024, 4:42 a.m. | Lachlan Thorpe, Lewis Bawden, Karanjot Vendal, John Bronskill, Richard E. Turner
cs.LG updates on arXiv.org arxiv.org
Abstract: We present a transformer decoder based model, SportsNGEN, that is trained on sports player and ball tracking sequences that is capable of generating realistic and sustained gameplay. We train and evaluate SportsNGEN on a large database of professional tennis tracking data and demonstrate that by combining the generated simulations with a shot classifier and logic to start and end rallies, the system is capable of simulating an entire tennis match. In addition, a generic version …
abstract arxiv cs.cv cs.lg data database decoder eess.iv generated professional sports stat.ap tennis tracking tracking data train transformer transformer decoder type
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