Popular GitHub Repositories for Game Education

A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.

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

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

? An exciting game of programming and Artificial Intelligence

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).

The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more.

[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

An open source quadruped robot pet framework for developing Boston Dynamics-style four-legged robots that are perfect for STEM, coding & robotics education, IoT robotics applications, AI-enhanced robotics application services, research, and DIY robotics kit development.

C++ Action Roguelike in Unreal Engine 5.

An open source quadruped robot pet framework for developing Boston Dynamics-style four-legged robots that are perfect for STEM, coding & robotics education, IoT robotics applications, AI-enhanced robotics application services, research, and DIY robotics kit development.

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.

Simplifying reinforcement learning for complex game environments

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.

OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.

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