mlsanityData to 7 Oct 2026

CueTip: An Interactive and Explainable Physics-aware Pool Assistant

arXiv 2501.18291 ↗First posted 30 Jan 2025cs.AI cs.HCcited by 3

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Abstract (arXiv)

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 maintaining the strength of the agent in terms of win rate (improving it in some situations). The explanations generated by CueTip are physically-aware and grounded in the expert rules and are therefore more reliable.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 27 of its 98 references that are in the map. First posted on arXiv 30 Jan 2025.

Builds on

27 of 98 references.

References · 27

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15 more
  1. 2023On the Planning Abilities of Large Language Models : A Critical Investigationcited by 308
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 2.

3 papers.