awesome-game-ai

This repository is a curated list of resources for game AI, specifically focusing on multi-agent learning in both perfect and imperfect information games. It includes open-source projects, research papers, conferences, and competitions for various popular games.

awesome-game-ai sits in the RAG / Knowledge Base category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Curated list of multi-agent game AI resources.. A representative use case is Researchers exploring multi-agent reinforcement learning and game theory applications.. The listed license is MIT. GitHub stars are currently 983. Relevant tags include Game AI, Multi-Agent RL.