2023
A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract)
AAAI 2023technical
Recent techniques for analyzing sports precisely has stimulated various approaches to improve player performance and fan engagement. However, existing approaches are only able to evaluate offline performance since testing in real-time matches requires exhaustive costs and cannot be replicated. To te…