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Flatland code for our submission to the NeurIPS 2020 Flatland challenge (round 1 winner, 4th place at round 2).

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marmotlab/flatland-challenge-neurips-2020

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NeurIPS 2020 Flatland challenge solution

Description

This repository contains the multi-agent reinforcement learning framework solution used for our solution to the NeurIPS 2020 Flatland Challenge.

Key Files

  • ACNET4.py - Defines network architecture.
  • NewAgentInitObs.py - Defines the decentralized observation of each agent.
  • DRLMAPF_A3C_RNN.py - The main file which contains the entire training code, worker classes and training parameters.

Authors

Mehul Damani

Zhiyao Luo

Guillaume Sartoretti

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Flatland code for our submission to the NeurIPS 2020 Flatland challenge (round 1 winner, 4th place at round 2).

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