datamllab/awesome-game-ai
Awesome Game AI materials of Multi-Agent Reinforcement Learning
This is a curated collection of resources for those interested in developing advanced AI for games involving multiple players. It provides access to open-source projects, research papers, and competition information, focusing on techniques where AI players learn to interact and strategize against each other. Game designers, AI researchers, and competitive gaming enthusiasts would use this to explore and implement sophisticated AI behaviors in complex game environments.
944 stars. No commits in the last 6 months.
Use this if you are researching or developing AI agents that need to operate and make decisions in games with multiple independent players, especially in strategic or card-based scenarios.
Not ideal if you are looking for resources on single-player game AI, or if your primary interest is in general game development rather than multi-agent AI specifics.
Stars
944
Forks
113
Language
—
License
MIT
Category
Last pushed
Jun 26, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/agents/datamllab/awesome-game-ai"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
steel-dev/awesome-web-agents
🔥 A list of tools, frameworks, and resources for building AI web agents
Jenqyang/Awesome-AI-Agents
A collection of autonomous agents 🤖️ powered by LLM.
jim-schwoebel/awesome_ai_agents
🤖 A comprehensive list of 1,500+ resources and tools related to AI agents.
mahseema/awesome-ai-tools
A curated list of Artificial Intelligence Top Tools
ashishpatel26/500-AI-Agents-Projects
The 500 AI Agents Projects is a curated collection of AI agent use cases across various...