Flatland is a open-source toolkit for developing and comparing Multi Agent Reinforcement Learning algorithms in little (or ridiculously large!) gridworlds.
The base environment is a two-dimensional grid in which many agents can be placed, and each agent must solve one or more navigational tasks in the grid world.
ℹ️ [The official documentation](http://flatland.aicrowd.com/) contains full details about the environment and problem statement
[The official documentation](http://flatland.aicrowd.com/) contains full details about the environment and problem statement
