Challenge / Overview

The Flatland Challenge is a competition to facilitate the progress of multi-agent reinforcement learning for any vehicle re-scheduling problem (VRSP). The challenge addresses a real-world problem faced by many transportation and logistics companies around the world (such as the Swiss Federal Railways (SBB)).

Using reinforcement learning (or operations research methods), you must solve different tasks related to VRSP on a simplified 2D multi-agent railway simulations environment. Your contribution might influence and shape the way modern traffic management systems (TMS) are implemented not only in railway but also in other areas of transportation and logistics.

Challenge / URL

www.aicrowd.com/challenges/flatland-challenge

Challenge / Co-organizers

Erik Nygren

Product Manager Analytics, SBB

Sharada Mohanty

CEO & Founder, AIcrowd

AMLD EPFL 2020 / Challenges

View challenges

Flatland Challenge

With Erik Nygren & Sharada Mohanty

Round 1: July 30-October 13, 2019
Round 2: October 13, 2019-January 05, 2020

AutoTrain Challenge

With Thijs Vogels & Martin Jaggi

October 01-December 15, 2019

D’Avatar - Reincarnation of Personal Data Entities in Unstructured Text Datasets

With Balaji Ganesan & Kalapriya Kannan

October 30-December 31, 2019

AMLD / Global partners