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IGLU: Interactive Grounded Language Understanding in a Collaborative Environment + Q&A
Julia Kiseleva · Ziming Li · Mohammad Aliannejadi · Maartje Anne ter Hoeve · Mikhail Burtsev · Alexey Skrynnik · Artem Zholus · Aleksandr Panov · Katja Hofmann · Kavya Srinet · arthur szlam · Michel Galley · Ahmed Awadallah

Thu Dec 09 11:45 AM -- 12:05 PM (PST) @
in Competition Track Day 3: Overviews + Breakout Sessions »
Event URL: https://www.iglu-contest.net »

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 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.

Author Information

Julia Kiseleva (Microsoft)
Ziming Li (University of Amsterdam)
Mohammad Aliannejadi (University of Amsterdam)
Maartje Anne ter Hoeve (University of Amsterdam)
Mikhail Burtsev (Artificial Intelligence Research Institute (AIRI))
Alexey Skrynnik (Artificial Intelligence Research Institute FRC CSC RAS)
Artem Zholus (MIPT)
Aleksandr Panov (Artificial Intelligence Research Institute FRC CSC RAS)
Katja Hofmann (Microsoft Research)

Dr. Katja Hofmann is a Principal Researcher at the [Game Intelligence](http://aka.ms/gameintelligence/) group at [Microsoft Research Cambridge, UK](https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/). There, she leads a research team that focuses on reinforcement learning with applications in modern video games. She and her team strongly believe that modern video games will drive a transformation of how we interact with AI technology. One of the projects developed by her team is [Project Malmo](https://www.microsoft.com/en-us/research/project/project-malmo/), which uses the popular game Minecraft as an experimentation platform for developing intelligent technology. Katja's long-term goal is to develop AI systems that learn to collaborate with people, to empower their users and help solve complex real-world problems. Before joining Microsoft Research, Katja completed her PhD in Computer Science as part of the [ILPS](https://ilps.science.uva.nl/) group at the [University of Amsterdam](https://www.uva.nl/en). She worked with Maarten de Rijke and Shimon Whiteson on interactive machine learning algorithms for search engines.

Kavya Srinet (Facebook AI Research)
arthur szlam (Facebook)
Michel Galley (Microsoft Research)
Ahmed Awadallah (Microsoft)

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