3 papers
stat.AP2026
Efficient Frontier Optimization of NBA Shot Selection Using Markov Reward Processes
Nirek Duma, Leo Benaharon
This paper asks whether modern NBA shot selection can be evaluated as a dynamic portfolio problem rather than as a collection of isolated shot attempts. We combine a possession-lev…
stat.AP2026
Quantifying Officiating Impact in the NBA: A Referee Impact Metric Analysis Using ESPN Win-Probability Data
Nirek Duma, Leo Benaharon
Over the past century, basketball analytics has moved from simple box-score rates toward complex context-aware measures that evaluate events by their expected effect on game outcom…
cs.RO2026
PACE: Physics Augmentation for Coordinated End-to-end Reinforcement Learning toward Versatile Humanoid Table Tennis
Muqun Hu, Wenxi Chen, Wenjing Li +9
Humanoid table tennis (TT) demands rapid perception, proactive whole-body motion, and agile footwork under strict timing--capabilities that remain difficult for end-to-end control…