Playing the Player: A Heuristic Framework for Adaptive Poker AI
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915653672239104 |
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| 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 |