Popular GitHub Repositories for Strategy Game Quoridor

A game theoretic approach to explain the output of any machine learning model.

? An exciting game of programming and Artificial Intelligence

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

C++ Action Roguelike in Unreal Engine 5.

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

MiniMax-01 is a simple implementation of the MiniMax algorithm, a widely used strategy for decision-making in two-player turn-based games like Tic-Tac-Toe. The algorithm aims to minimize the maximum possible loss for the player, making it a popular choice for developing AI opponents in various game scenarios.

Simplifying reinforcement learning for complex game environments

behaviac is a framework of the game AI development, and it also can be used as a rapid game prototype design tool. behaviac supports the behavior tree, finite state machine and hierarchical task network(BT, FSM, HTN)

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

? behavior tree AI for Godot Engine

A Unity library for common movement AI

An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

Reinforcement Learning environments based on the 1993 game Doom :godmode:

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

World's Best AI Aimbot - CS2, Valorant, Fortnite, APEX, every game