Enhancing Badminton Player Performance via a Closed-Loop AI Approach: Imitation, Simulation, Optimization, and Execution

Wang, Kuang-Da

doi:10.1145/3583780.3616001

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management 2023

DOI: 10.1145/3583780.3616001

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Enhancing Badminton Player Performance via a Closed-Loop AI Approach: Imitation, Simulation, Optimization, and Execution

Kuang-Da Wang

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Report on the PhD Symposium at CIKM 2023

Liu,

Bauer

2023

SIGIR Forum

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The PhD Symposium was held successfully at the 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023). A total of 22 people attended online or in person at the whole day event, which included two chairs, six mentors, nine students, and five panelists. Five people attended online, and 17 people attended in person. The sessions contain Chairs' opening and closing addresses, student talks, a panel session, and mentoring sessions. The feedback was very positive, especially about the lively discussion and the quality of work. Date : 21 October 2023. Website : https://uobevents.eventsair.com/cikm2023/phd-symposium-programme---saturday-21st-october.

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Report on the PhD Symposium at CIKM 2023

Liu,

Bauer

2023

SIGIR Forum

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Enhancing Badminton Player Performance via a Closed-Loop AI Approach: Imitation, Simulation, Optimization, and Execution

Cited by 1 publication

References 2 publications

Report on the PhD Symposium at CIKM 2023

Report on the PhD Symposium at CIKM 2023

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