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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

About

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

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