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Author

Aneesh Muppidi

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#machine learning Preprint Oct 2026

Mulligan: Performance-Guided Data Collection for Efficient On-Robot Learning

Learning from human demonstrations is a reliable way to teach robots new tasks, but the gains from each additional demonstration shrink as the policy improves. Continued improvement can instead come from supervised deployment, where an operator places the objects and intervenes when the policy fails. We ask how to maxi...

Lars Ankile, Perry Dong, R. Bhowmik et al. · 0 citations
#machine learning Preprint Sep 2026

Forecasting the Winner of a Live Tennis Match

With the rise of live sports betting in recent years, tennis forecasting has expanded from pre-match prediction to models that update win probabilities as a match unfolds. A central challenge in creating such a model is the constant need for models to adapt to score and performance changes. This study examines how pre-...

Charles Xie, Aneesh Muppidi · 0 citations

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