Risk-Aware Poker AI
Max-EV play, with a risk manager on top
Role
Solo developer
Year
2025
Category
AI / ML
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.
Highlights
- Hard guardrail force-folds on bankroll risk
- Risk-adjusted utility: EV − λ·(risk + variance)
- Configurable bankroll floor
- Sweepable thresholds for experimentation
PythonFlaskReactNumPy