Details:

The main purpose of this challenge is for developers, students, and data scientists to use AI to tackle some of society’s greatest obstacles.

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This competition is held yearly at ICAPS conference, aiming at proposing to the research community challenging planning problems.

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This competition incentivises and facilitates research around the multi-faceted problem of intention progression.

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This challenge is designed to encourage research relating to various problems in Collaborative AI.

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This contest attempts to stimulate research in the area of multi-agent system development and programming.


Our Entry:

2018

2017

2016

Details:

This challenge focuses on developing software to increase the autonomy of mobile robots (e.g., humanoid) so they can complete specific tasks during space travel or after landing on other planets.

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This competition involves primarily evaluating the performance of agent teams on different maps for research in disaster response management.

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It is an environment designed specifically for research in the field of collaborative Multi-agent Reinforcement Learning based on Blizzard's StarCraft II game.