Exact expected value for every blackjack decision - 340 situations solved by recursion, validated against a published chart.
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Updated
Sep 20, 2026 - Python
Exact expected value for every blackjack decision - 340 situations solved by recursion, validated against a published chart.
From-scratch Monte Carlo blackjack engine + a statistical study of strategy, betting, and counting over ~90M hands - self-validating against the published house edge
Blackjack strategy experimentation framework combining: - Custom blackjack simulator - Tabular RL agents (Q-learning, QV-learning) - Genetic Algorithm over full decision policies - GA-over-RL hyperparameter optimization
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