WeiChengTseng/awesome-multi-agent
A curated list of awesome multi-agent learning papers
This project compiles a comprehensive list of research papers and tutorials focused on multi-agent learning, a field connecting single-agent reinforcement learning, game theory, and multi-agent systems. It takes in a complex, evolving research area and outputs an organized collection of key papers and learning resources, sorted by time and topic. Researchers, academics, and graduate students in artificial intelligence, robotics, and complex adaptive systems would find this valuable.
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Use this if you are a researcher or student looking for a curated collection of foundational and recent academic papers on multi-agent learning and related topics.
Not ideal if you are looking for ready-to-use code implementations, practical application guides, or a simplified introduction to multi-agent concepts for non-academic audiences.
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Last pushed
Jan 10, 2022
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