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.
翻译:人类智能具有迅速适应新任务和环境的非凡能力。 从很小的年纪开始,人类就掌握新技能,学会如何通过模仿他人的行为或遵循自然语言指令来完成新任务。为了便利这方面的研究,我们提议采用 emph{IGLU:在协作环境中交互式基底语言理解 。竞争的首要目标是解决如何建立互动代理机构的问题,这些代理机构在合作环境中学会解决一项任务,同时提供有根有据的自然语言指导。我们理解挑战的复杂性,我们将其分成子任务,以使参与者能够参与。