Scalable Implementation of Deep CFR and Single Deep CFR

Opponent exploitation in imperfect game using Neural Networks.

Analyzing Betting Game and its applications specially in poker

Python library of imperfect information games, and self-play and exploitative algorithms

C++ implementations of Counterfactual Regret Minimization and Monte Carlo CFR

Deriving an optimal Blackjack strategy using Tammelin's counterfactual regret minimization algorithm (CFR+) and modern C++.

[NeurIPS 2022] PerfectDou: Dominating DouDizhu with Perfect Information Distillation

[DESAFIO] ¿Cómo hacer que una computadora ( inteligencia artificial ) juegue mejor que un humano al truco? El Truco es un juego de cartas Argentino popularmente jugado en el todo el país y el cono sur. Es un juego de estrategia competitivo basado en turnos, de estados finitos e información incompleta, lo cúal quiere decir que los jugadores basar…

Awesome Game AI materials of Multi-Agent Reinforcement Learning

Experimenting with intelligent agents utilizing a variety of different algorithmic methods to develop an expert level bot for the card game of Schnapsen.

This repository is the accompanying code for the paper CFVFP. This paper presents a new algorithm for solving incomplete information games - CFVFP, which has better results than MCCFR in some games. The paper has been accepted by NeurIPS 2024.

A Doudizhu reinforcement learning AI

Counterfactual Regret Minimization Game solution methods for Julia

Imperfect-information sub-game solver for Coup

I made 2 different AIs (a neural network and a Q-learning algithm) play an imperfect information game and observe the strategys that both players used.

A Rust engine for Tsuitate Shogi and related Shogi variants, supporting up to 9×9 boards with WebAssembly FFI bindings.

🇺🇾 Uruguayan Truco game engine + library written entirely in Python

Series of tools to evaluate and examine the game Dark Hex

团队多年研发的德州扑克AI，支持1对多，包括1对9，对于gg，wpk，hhpoker，AApoke等平台的玩家都有很大帮助的，提升玩家的德州水平；TG：@xuzongbin001；