MC-Saar-Instruct: a Platform for Minecraft Instruction Giving Agents

Arne Köhn, Julia Wichlacz, Christine Schäfer, Álvaro Torralba, Joerg Hoffmann, Alexander Koller


Abstract
We present a comprehensive platform to run human-computer experiments where an agent instructs a human in Minecraft, a 3D blocksworld environment. This platform enables comparisons between different agents by matching users to agents. It performs extensive logging and takes care of all boilerplate, allowing to easily incorporate new agents to evaluate them. Our environment is prepared to evaluate any kind of instruction giving system, recording the interaction and all actions of the user. We provide example architects, a Wizard-of-Oz architect and set-up scripts to automatically download, build and start the platform.
Anthology ID:
2020.sigdial-1.7
Volume:
Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Month:
July
Year:
2020
Address:
1st virtual meeting
Venue:
SIGDIAL
SIG:
SIGDIAL
Publisher:
Association for Computational Linguistics
Note:
Pages:
53–56
Language:
URL:
https://www.aclweb.org/anthology/2020.sigdial-1.7
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.sigdial-1.7.pdf
Video:
 https://youtube.com/watch?v=ipGAj_qLXz4