Baoxiang Wang
1 indexed paper
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126
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AI×1Game Theory×1
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2026
PokerSkill: LLMs Can Play Expert-Level Poker without Training or Solvers
The paper introduces PokerSkill, a novel framework that successfully enables Large Language Models (LLMs) to play expert-level poker by grounding their choices using human-designed, rule-based poker skills, achieving competitive performance without requiring specialized training or complex solvers.
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