Series of tools to evaluate and examine the game Dark Hex
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Updated
Feb 6, 2023 - Python
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++.
Analyzing Betting Game and its applications specially in poker
Opponent exploitation in imperfect game using Neural Networks.
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
Counterfactual Regret Minimization Game solution methods for Julia
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 Doudizhu reinforcement learning AI
[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…
C++ implementations of Counterfactual Regret Minimization and Monte Carlo CFR
[NeurIPS 2022] PerfectDou: Dominating DouDizhu with Perfect Information Distillation
Scalable Implementation of Deep CFR and Single Deep CFR
Awesome Game AI materials of Multi-Agent Reinforcement Learning
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