Implementation of AI Poker HULH with Deep CFR and MCCFR ES as thesis for Bachelor of Engineering degree
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Feb 19, 2022 - TeX
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deep-cfr
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Research prototype for 6-max poker AI systems using Rust, Deep-CFR-style training, PyTorch, ONNX, and controlled simulator evaluation.
rust reinforcement-learning simulation pytorch game-theory onnx imperfect-information-games counterfactual-regret-minimization research-prototype poker-ai deep-cfr no-limit-holdem
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May 27, 2026 - Python
Open-source GTO poker solver with neural network strategy approximation and 75ms real-time search decisions. Built for study, research, and extension.AI built in five stages: CFR, card abstraction, Deep CFR, and real-time search. Readable code, full docs, 27 tests.
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Jul 1, 2026 - Python
6-max NLHE poker bot on Deep CFR. MCCFR-trained, pure-NumPy runtime, 2s/768MB sandbox. 15th of 500+, Fullhouse Hackathon 2026 (Quadrature Capital).
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Jun 17, 2026 - Python
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