Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021

• URL: http://arxiv.org/abs/2205.02388v1
• Date: Thu, 5 May 2022 01:20:09 GMT
• Title: Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021
• Authors: Julia Kiseleva and Ziming Li and Mohammad Aliannejadi and Shrestha Mohanty and Maartje ter Hoeve and Mikhail Burtsev and Alexey Skrynnik and Artem Zholus and Aleksandr Panov and Kavya Srinet and Arthur Szlam and Yuxuan Sun and Marc-Alexandre C\^ot\'e Katja Hofmann and Ahmed Awadallah and Linar Abdrazakov and Igor Churin and Putra Manggala and Kata Naszadi and Michiel van der Meer and Taewoon Kim
• Abstract summary: We propose emphIGLU: 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.
• Score: 58.196738777207315
• License: http://creativecommons.org/licenses/by-sa/4.0/
• 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.

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