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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.
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.
## How to get started
## Documentation
To get started with the **Flatland** environment follow the steps in [installation](Installation) and look at the [examples](Examples).
The documentation can be found at <http://flatland-rl-docs.s3-website.eu-central-1.amazonaws.com>.