CueTip: An Interactive and Explainable Physics-aware Pool Assistant
Sean Memery, Kevin Denamganai, Jiaxin Zhang, Zehai Tu, Yiwen Guo,, Kartic Subr

TL;DR
CueTip is an interactive, explainable pool coaching assistant that combines natural language, physics-aware reasoning, and expert-guided explanations, improving player support and maintaining competitive performance.
Contribution
It introduces a physics-aware, explainable pool assistant with a natural language interface and a neural adaptor for flexible tactical reasoning and reconfigurability.
Findings
Enables contextual, query-based assistance and explanations.
Maintains or improves win rate compared to baseline agents.
Provides physically-grounded, reliable explanations.
Abstract
We present an interactive and explainable automated coaching assistant called CueTip for a variant of pool/billiards. CueTip's novelty lies in its combination of three features: a natural-language interface, an ability to perform contextual, physics-aware reasoning, and that its explanations are rooted in a set of predetermined guidelines developed by domain experts. We instrument a physics simulator so that it generates event traces in natural language alongside traditional state traces. Event traces lend themselves to interpretation by language models, which serve as the interface to our assistant. We design and train a neural adaptor that decouples tactical choices made by CueTip from its interactivity and explainability allowing it to be reconfigured to mimic any pool playing agent. Our experiments show that CueTip enables contextual query-based assistance and explanations while…
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Taxonomy
TopicsTime Series Analysis and Forecasting · Explainable Artificial Intelligence (XAI)
MethodsSparse Evolutionary Training
