Our team, “MARMot-lab-NUS”, is currently holding first place
in the reinforcement learning (RL) category of the
NeurIPS 2020 competition “Flatland”
at developping novel methods to solve the multi-vehicle routing problem (a close problem to multi-agent path finding).
This competition is open to both conventional techniques (Operation Research [OR]) and RL, with a strong emphasis on
learning-based techniques (because NeurIPS). It is sponsored by the swiss national railways (SBB/CFF) as well as the
German ones (Deutsche Bahn), and is organized by Aicrowd. The competition is still very much open and active, and teams
do not have to have participated to round 1 to join round 2, which is starting soon.
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