FLAIROx/ah2ac2
Ad-Hoc Human-AI Coordination Challenge (AH2AC2)
This challenge helps AI researchers develop and benchmark AI agents that can effectively work with humans, even when they haven't interacted much before. You submit your AI agent's code, which is then evaluated against various human-like partners to measure its coordination abilities. This is for AI researchers and machine learning engineers focused on human-AI collaboration and multi-agent systems.
No commits in the last 6 months.
Use this if you are an AI researcher developing agents that need to collaborate seamlessly with unfamiliar human partners in real-time scenarios.
Not ideal if you are looking for a pre-built, production-ready AI agent for immediate deployment in a specific application.
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12
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1
Language
Python
License
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Category
Last pushed
Jul 08, 2025
Commits (30d)
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