Learning Human Sports Motion Feasibility via Quantile Regression on Tracking Data
The TTA-Quantile model is cast as a conditional quantile regression problem, estimating the lower quantile of locomotion time so the model learns a player's lower-envelope arrival time, and the MLP consistently outperforms every physics-based baseline.
Marc Gutiérrez-Pérez, Antonio Agudo
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