Scalable Implementation of Deep CFR and Single Deep CFR
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Updated
May 6, 2020 - Python
Scalable Implementation of Deep CFR and Single Deep CFR
Omaha Poker functionality+some features for PokerRL Reinforcement Learning card framwork
A poker solver written in rust
implementation of regret matching and counter factual regret minimization algorithms
An attempt at a Python implementation of Pluribus, a No-Limits Hold'em Poker Bot
Counterfactual Regret Minimization for a simplified version of Texas Hold'em poker
Implementation of counterfactual regret minimization (CFR) for Texas hold'em poker
A Django webapp that allows you to play against an AI at the game of heads-up limit Texas Hold'em.
Analyzing Betting Game and its applications specially in poker
A python implementaion of Counterfactual Regret Minimization using numba
Implementation of Pluribus by Noam Brown & Tuomas Sandholm, introduced in the paper "Superhuman AI for multiplayer poker".
C++ implementations of Counterfactual Regret Minimization and Monte Carlo CFR
🤖 An Open Source Texas Hold'em AI
A pytorch tutorial for DRL(Deep Reinforcement Learning)
Deriving an optimal Blackjack strategy using Tammelin's counterfactual regret minimization algorithm (CFR+) and modern C++.
CFR repo written with exectution time in mind using C. Repo contains implementations of different CFR variants that can be used with different imperfect information games.
Eschewing importance Sampling by Computing a History value function to Estimate Regret
[Development suspended] An efficient open-source postflop solver library written in Rust
Counterfactual Regret Minimization Game solution methods for Julia
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