验证了德州扑克锦标赛中独立筹码模型的准确性与偏差。
Empirical Validation of the Independent Chip Model
- 基于超万名选手的赛事数据，检验独立筹码模型表现。
- 发现大筹码玩家被低估，小筹码玩家被高估。
- 为扑克策略算法研究提供实证依据，适合博弈论与算法研究者。
独立筹码模型（ICM）是现代德州扑克锦标赛策略的核心。然而，尽管其广泛应用，该模型在真实世界中的表现尚未得到充分检验，尤其缺乏大规模验证。本文构建了一个包含超过一万个赛事结果的新数据集，并基于此开展两项大规模实证分析：首先，验证了ICM的表现优于我们提出的基线模型；其次，获得了实证证据表明，ICM会低估大筹码玩家的实际表现，同时高估短筹码玩家的表现。这些发现对未来开发扑克锦标赛中玩家价值估计的新算法具有参考价值。
原文摘要 · Abstract (English)
The independent chip model (ICM) forms a cornerstone of all modern poker tournament strategy. However, despite its prominence, the ICM's performance in the real world has not been sufficiently scrutinized, especially at a large scale. In this paper, we introduce our new dataset of poker tournaments, consisting of results of over ten thousand events. Then, using this dataset, we perform two experiments as part of a large-scale empirical validation of the ICM. First, we verify that the ICM performs more accurately than a baseline we propose. Second, we obtain empirical evidence of the ICM underestimating the performances of players with larger stacks while overestimating those who are short-stacked. Our contributions may be useful to future researchers developing new algorithms for estimating a player's value in poker tournaments.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。