MFGLib is an open-source Python library designed for research and development in mean-field games. It provides an extensible framework, pre-built algorithms, and environments for quick prototyping and experimentation. The library is ideal for AI researchers and developers working on mean-field game theory and applications.
MFGLib documentation is a Data science & ML workbench product. Difficulty in researching and prototyping mean-field game algorithms efficiently. It is built as an open-source project for AI researchers and developers. MFGLib documentation is open source under the MIT license. It runs on the web and the command line.
RADAR Research Lab builds and maintains MFGLib documentation, and the product first shipped in 2023. Development happens publicly on GitHub with 67 stars and 3 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — MFGLib documentation occupies a relatively distinct niche. Key capabilities include algorithm implementations, extensible framework, and quick prototyping.
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