Awesome Game AI materials of Multi-Agent Reinforcement Learning
-
Updated
Jun 26, 2024
Awesome Game AI materials of Multi-Agent Reinforcement Learning
Scalable Implementation of Deep CFR and Single Deep CFR
[NeurIPS 2022] PerfectDou: Dominating DouDizhu with Perfect Information Distillation
C implementations of Counterfactual Regret Minimization and Monte Carlo CFR
[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…
A Doudizhu reinforcement learning AI
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.
Counterfactual Regret Minimization Game solution methods for Julia
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.
Python library of imperfect information games, and self-play and exploitative algorithms
Opponent exploitation in imperfect game using Neural Networks.
Analyzing Betting Game and its applications specially in poker
Series of tools to evaluate and examine the game Dark Hex
Experimenting with intelligent agents utilizing a variety of different algorithmic methods to develop an expert level bot for the card game of Schnapsen.
Deriving an optimal Blackjack strategy using Tammelin's counterfactual regret minimization algorithm (CFR ) and modern C .
Add a description, image, and links to the imperfect-information-games topic page so that developers can more easily learn about it.
To associate your repository with the imperfect-information-games topic, visit your repo's landing page and select "manage topics."