Evaluating Blackjack Strategy Models.

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Autore principale: Mir Ihrar ali
Natura: Recurso digital
Pubblicazione: Zenodo 2025
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author Mir Ihrar ali
author_facet Mir Ihrar ali
contents <p>Blackjack, a game of both strategy and chance, has evolved with the integration of mathematical models and computational tools. This research explores a range of Blackjack-playing strategies, from classic methods such as basic strategy charts and card counting to advanced machinelearning techniques like reinforcement learning and historical data analysis.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_15064864
institution Zenodo
language
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Evaluating Blackjack Strategy Models.
Mir Ihrar ali
<p>Blackjack, a game of both strategy and chance, has evolved with the integration of mathematical models and computational tools. This research explores a range of Blackjack-playing strategies, from classic methods such as basic strategy charts and card counting to advanced machinelearning techniques like reinforcement learning and historical data analysis.</p>
title Evaluating Blackjack Strategy Models.
url https://doi.org/10.5281/zenodo.15064864