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AI learns game-solving predicate, accelerating puzzle completion

Researchers have developed a method to accelerate AI solvers for the game "The Witness" by automatically learning a predicate. This learned predicate predicts whether a partial path in a puzzle is likely to lead to a solution, enabling the pruning of less promising search states. The approach demonstrated a six-fold speedup in solving puzzles while maintaining completeness and outperforming existing search algorithms and neural network-based competitors. AI

IMPACT This research demonstrates a novel method for improving AI search efficiency, potentially applicable to other complex combinatorial problems.

RANK_REASON Academic paper detailing a new AI technique for game solving. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI learns game-solving predicate, accelerating puzzle completion

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Academic paper detailing a new AI technique for game solving. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Justin Stevens, Vadim Bulitko, David Thue ·

    Solving Witness Triangle Puzzles Faster with an Automatically Learned Predicate

    arXiv:2308.02666v2 Announce Type: replace Abstract: The Witness is a game with combinatorial puzzles that are challenging for both human players and AI solvers. Search-based AI solvers can require large amounts of time to solve such puzzles. We accelerate search by automatically …