Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021
UvA-DARE (University of Amsterdam)
Abstract
Human intelligence has the remarkable ability to quickly adapt to new tasks and environments. Starting from a very young age, humans acquire new skills and learn how to solve new tasks either by imitating the behavior of others or by following provided natural language instructions. To facilitate research in this direction, we propose \emph{IGLU: Interactive Grounded Language Understanding in a Collaborative Environment}. The primary goal of the competition is to approach the problem of how to build interactive agents that learn to solve a task while provided with grounded natural language instructions in a collaborative environment. Understanding the complexity of the challenge, we split it into sub-tasks to make it feasible for participants.
Authors 19
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Affiliation as printed
Microsoft Research
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Affiliation as printed
University of Amsterdam
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Affiliation as printed
Microsoft Research
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Affiliation as printed
University of Amsterdam
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Meta (United Kingdom) · Meta (United States)
Affiliation as printed
Facebook AI
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Meta (United Kingdom) · Meta (United States)
Affiliation as printed
Facebook AI
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Meta (United Kingdom) · Meta (United States)
Affiliation as printed
Facebook AI
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Affiliation as printed
Microsoft Research
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Moscow Institute of Physics and Technology
Affiliation as printed
Moscow Institute of Physics and Technology
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Izhevsk State Technical University
Affiliation as printed
Kalashnikov Izhevsk State Technical University
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Affiliation as printed
University of Amsterdam
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Affiliation as printed
University of Amsterdam
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Michiel van der Meer Aachen
Affiliation as printed
Universiteit Leiden
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Affiliation as printed
Vrije Universiteit Amsterdam
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