Playing the Player: A Heuristic Framework for Adaptive Poker AI

Fuente: arXiv
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Main Authors: Paterson, Andrew, Sanders, Carl
Format: Preprint
Published: 2025
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_version_ 1866915653672239104
author Paterson, Andrew
Sanders, Carl
author_facet Paterson, Andrew
Sanders, Carl
contents For years, the discourse around poker AI has been dominated by the concept of solvers and the pursuit of unexploitable, machine-perfect play. This paper challenges that orthodoxy. It presents Patrick, an AI built on the contrary philosophy: that the path to victory lies not in being unexploitable, but in being maximally exploitative. Patrick's architecture is a purpose-built engine for understanding and attacking the flawed, psychological, and often irrational nature of human opponents. Through detailed analysis of its design, its novel prediction-anchored learning method, and its profitable performance in a 64,267-hand trial, this paper makes the case that the solved myth is a distraction from the real, far more interesting challenge: creating AI that can master the art of human imperfection.
format Preprint
id arxiv_https___arxiv_org_abs_2512_04714
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Playing the Player: A Heuristic Framework for Adaptive Poker AI
Paterson, Andrew
Sanders, Carl
Artificial Intelligence
Computer Science and Game Theory
91A60
I.2.1; I.2.8
For years, the discourse around poker AI has been dominated by the concept of solvers and the pursuit of unexploitable, machine-perfect play. This paper challenges that orthodoxy. It presents Patrick, an AI built on the contrary philosophy: that the path to victory lies not in being unexploitable, but in being maximally exploitative. Patrick's architecture is a purpose-built engine for understanding and attacking the flawed, psychological, and often irrational nature of human opponents. Through detailed analysis of its design, its novel prediction-anchored learning method, and its profitable performance in a 64,267-hand trial, this paper makes the case that the solved myth is a distraction from the real, far more interesting challenge: creating AI that can master the art of human imperfection.
title Playing the Player: A Heuristic Framework for Adaptive Poker AI
topic Artificial Intelligence
Computer Science and Game Theory
91A60
I.2.1; I.2.8
url https://arxiv.org/abs/2512.04714