Popular GitHub Repositories for Game Engines

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

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

An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.

? An exciting game of programming and Artificial Intelligence

Speech recognition module for Python, supporting several engines and APIs, online and offline.

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).

Highly Customizable AI Research Agent just like NotebookLM or Perplexity, connected to external sources such as search engines (Tavily), Slack, Notion, and more.

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

自动构建Docker镜像并上传至阿里云

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.

A procedural Blender pipeline for photorealistic training image generation

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