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Aug, 2020
NBA球员的多模态轨迹预测
Multi-Modal Trajectory Prediction of NBA Players
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Sandro Hauri, Nemanja Djuric, Vladan Radosavljevic, Slobodan Vucetic
TL;DR
研究了国家篮球协会（NBA）球员在比赛过程中复杂决策问题的解决方法，提出了一种基于LSTM架构的方法来预测运动轨迹和其概率，并通过多模式损失函数更新最佳轨迹，实验结果表明该方法胜过现有技术且能够学习到球员的个人风格。
Abstract
national basketball association
(NBA) players are highly motivated and skilled experts that solve complex
decision making
problems at every time point during a game. As a step towards understanding how players ma
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