Padmanaba Srinivasan, Raghavan Subramanian, William Knottenbelt,
Understanding how tennis players make decisions and the real-world implications of decision is key to designing competitive strategies. Increasing amounts of ball and player tracking data enable deeper analysis and in this paper, we develop a model to imitate players and learn the individual styles of players without the need for adaptation. We demonstrate the quantitative performance and qualitative insights our model can achieve with the flexibility of our approach.