This workshop will also announce the winners of the
Kick-off MARLO Competition. This competition (
https://www.crowdai.org/challenges/marlo-2018) is a new challenge that proposes research on Multi-Agent Reinforcement Learning using multiple games. Participants would create learning agents that will be able to play multiple 3D games as defined in the MalmO platform. The aim of the competition is to encourage AI research on more general approaches via multi-player games. For this, the Challenge will consist of not one but several games, each one of them with several tasks of varying difficulty and settings. Some of these tasks will be public and participants will be able to train on them. Others, however, will be private, only used to determine the final rankings of the competition.
You can submit your entry before November 14, 2018 in order to be eligible for our AIIDE
prizes: the top 3 teams will be awarded with a MARLO Travel Grant for a maximum value of $2,500 USD for the team members to join a relevant conference to publish their competition result. See all details about the competition, prizes and submission at
https://www.crowdai.org/challenges/marlo-2018
Best wishes,
Microsoft Research, Queen Mary University of London, École polytechnique fédérale de Lausanne and CrowdAI.org
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Diego Pérez Liébana
Lecturer in Computer Games and Artificial Intelligence
School of Electronic Engineering and Computer Science
Queen Mary University of London, UK