๐คReddit r/MachineLearningโขStalecollected in 62h
Candidate Generation for 9-Ball AI Shots

๐กPractical optimizations for game AI shot evaluation without slow sims
โก 30-Second TL;DR
What Changed
Transformer predicts p(win) from table layout
Why It Matters
Shows efficient methods for simulation-heavy game AI, scalable to training millions of decisions.
What To Do Next
Precompute acceptance windows for your physics sim-based AI applications.
Who should care:Developers & AI Engineers
Key Points
- โขTransformer predicts p(win) from table layout
- โขGenerator includes cut, bank, kick, carom shots
- โขPrecomputed lookups avoid full simulations per shot
- โขPooltool sims take 5-50ms; lookups enable fast eval
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Original source: Reddit r/MachineLearning โ
