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![logo](https://drive.google.com/uc?export=view&id=121n5asHFO-ODphNMZXdv5WMHzzA_QZZL)
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Flatland is simple and efficient grid world for multi-agent reinfrocement learning tasks. It allows for a diverse set of problem classes to be implemented from free moving agents to restricted movement on transportation networks.
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## How to get started
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To get started with the **Flatland** environment follow the steps in [installation](Installation) and look at the [examples](Examples).
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## Specifications
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- [Core](Specifications/Core)
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