Awesome-Game-Ai

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awesome-game-ai is an Open Source Coding & Development tool that curates resources for multi-agent reinforcement learning in games. It provides a comprehensive list of open-source projects, research papers, and competitions.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is awesome-game-ai?

awesome-game-ai is an open-source repository offering a curated collection of resources for game AI, specifically focusing on multi-agent reinforcement learning. It covers both perfect and imperfect information games, categorizing materials by game type. The repository includes open-source projects, review papers, research papers, conference information, and competitions related to game AI. It highlights advancements in games like Starcraft, Dota 2, Go, Chess, and various card games, providing valuable insights for researchers and developers in the field. Contributions to the list are welcomed via pull requests.

Best used for

Ideal for researchers and developers who need to explore the latest advancements in multi-agent game AI, find relevant open-source projects, and stay informed about conferences and competitions. Especially valuable for those working with perfect and imperfect information games.

Common actions

explore game AI research

find multi-agent learning projects

discover game AI competitions

github copilot"AI Agents"face swappingcollaborationautomated workflowworkflowslow-code/no-codeopen-sourcedeepfake

Capabilities

Key features

Curated game AI resources
Multi-agent learning focus
Perfect/imperfect information games
Open-source projects list
Research paper collection
Conference/competition info

Target Audience

professor

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What types of games are covered in the awesome-game-ai repository?

The repository covers a wide range of games, including perfect information games like Go, Chess, and Gomoku, as well as imperfect information games such as Texas Hold'em, Dou Dizhu, and Mahjong. It also features resources for Starcraft.

How can I contribute to the awesome-game-ai list?

You can contribute to the awesome-game-ai list by sending a pull request on GitHub. Alternatively, you can contact the maintainers via email at daochen.zha@rice.edu or khlai@rice.edu to suggest additions.

Does the repository include resources for single-agent game AI?

While the primary focus is on multi-agent learning, the repository does provide context and mentions achievements in single-agent environments, such as Deep Q-learning applications in Atari Games, Super Mario, and Minecraft.

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Open Source & Models Code Assistants DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs

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Also listed in

This tool also appears in

Research & Education › Academic Research AI Agents & Automation › Multi-Agent Systems

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