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Let's solve flatland!

This is a community effort to solve the 2020 NeurIPS Flatland Challenge. The flatland environment is here and its Documentation Watch the introductory video here

How do I contribute?

Fork this repository and submit a pull request.

TODOs

  • Write boilerplate to interact with the environment. It is already a gym environment, so unclear if this is necessary, maybe code to visualize a run.
  • Write simple baseline algorithms for pure RL and pure hard-coded heuristics.
  • Write some documentation here about how to evaluate an algorithm, maybe we define some joint format for results so we can compare.

Libraries to consider

Code Structure

  • Different solution approaches go into subfolders in src/approaches. Feel free to contribute your own or work on someone else's (maybe coordinate via discord).
  • For easiness, there is a setup.py, so we can pip install -e . and don't have to use relative paths in the approaches, but let's not put requirements globally. Instead, make a README or requirements.txt in your approach folder (or utility submodule) if you rely on specific things. Not mandatory, most people will figure out what's missing by themselves.
  • Shared utilities go in src/utils. As with the requirements, let's not have a global __init__.py for the utils (but __init__.pys are completely fine in submodules).
  • Any code that interacts directly with the environment (wrappers, monkeypatches, visualization, etc.) can go into submodules of src/environment.

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Let's solve the flatland challenge!

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  • Jupyter Notebook 54.6%
  • Python 45.4%