Scalable Implementation of Deep CFR and Single Deep CFR

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.

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

Series of tools to evaluate and examine the game Dark Hex

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

Counterfactual Regret Minimization Game solution methods for Julia

[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