App Store
Version 2.6.2 · 2026-08-12
Algorithm and user interface improvements, also some bug fixes.
Too little checked to say Store information only. We haven’t analysed this app or read its reviews yet.
Not yet tested.
The store currently lists version 2.6.2, updated 2026-08-12.








Store screenshots supplied by the developer.
Texas Hold'em poker is a popular and widely studied problem in the fields of Game Theory and Artificial Intelligence. Algorithms such as Tree Search, Regret Minimization, Reinforcement Learning and Neural Networks have been developed to solve poker. Nevertheless, solving multiplayer no-limit Texas Hold'em in real time remains a major challenge considering its vast combination of possible states and the existence of hidden information.
Based on Regret Minimization algorithms, we developed an innovative solving architecture that combines multi-stage Pre-training, Parallel Sampling, Equilibrium Finding, Dynamic Programming, State Abstraction, Encoding-Decoding and Edge Computing. Powered by our built-in AI engine, we present you Poker AI, a fast and accurate Texas Hold'em strategy solver that runs in real time on edge devices with limited computing resources.…
From the developer’s store description.
For developers and the curious
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No package has been scanned for this app, so nothing is published about what it ships. That is an absence of evidence, not a finding.
Supporting measurements: not a complete list of possible harms or positives. Measurement vocabulary 1.4 · how these are measured
Not yet tested. No analysis has been run for this app, so there is no version or date to report.
Each store’s release notes, as the developer wrote them. They are the developer’s words, not ours.
Algorithm and user interface improvements, also some bug fixes.
poker-aiWhat the stores publish. Store ratings are the stores’ numbers, not Appworthy’s, and are never averaged across stores.
From the store listing. Billing terms are read from each purchase’s name — the stores don’t publish them — so treat them as a strong hint, not a disclosure.
Not yet tested. No analysis has been published for this app, so there is no method to describe for it yet. A missing label is not a clean bill of health: it means nothing has been read, not that nothing is wrong.
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