Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021
It tackles the challenge of developing adaptable AI agents for collaborative environments, but it is incremental as it builds on existing research by proposing a competition framework.
The paper introduces the IGLU 2021 competition to address the problem of building interactive agents that learn tasks from grounded natural language instructions in collaborative settings, with the result being a structured challenge split into sub-tasks to make it feasible for participants.
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.