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Welcome to the official documentation of the MDG League
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Notice: Paged started with WIP means it is currently still work in progress. Please have in mind that the information in it might be inaccurate/outdated.
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The Multiagent Games League (MGL) is a simulation-based research initiative that fosters collaboration between machine learning (ML) and game theory (GT) researchers. Utilizing the Graph-based Adversarial Multiagent Modeling Simulator (GAMMS), MGL provides a scalable testbed for studying multi-agent decision-making in adversarial environments. It enables benchmarking, cross-task collaboration, and exploration of complex strategies, contributing to real-world experimentation and advancing multi-agent research.
If you want to install the League, check out our Quick Start Guide.
Learn the basic game setup in our Game Guideline.
Develop your strategy using our Strategies.
Set up and run your own instance with our How to Use.
Explore modifications and source code in WIP Advanced Usage.
For any issues related to the League repository or this documentation, please submit an issue in Issues.