Risk-Aware Poker AISource-available · no public deploy
[ Overview ]
Risk-Aware Poker AI addresses the risk-management gap in prior poker-AI work by adding an explicit risk layer to the decision engine. An analyst picks the max-EV action; a 'boss' risk layer then applies a hard guardrail (force-fold when the bet-to-bankroll ratio crosses a threshold), a soft risk utility that ranks actions by EV minus a penalty on risk and variance, and an optional bankroll floor. A Flask API exposes the decision endpoint to a React frontend.
[ Engineering highlights ]
- Hard guardrail force-folds on bankroll risk
- Risk-adjusted utility: EV − λ·(risk + variance)
- Configurable bankroll floor
- Sweepable thresholds for experimentation
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