Collaboration in Situated Instruction Following

Jul 18, 2020

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About

I will focus on the problem of executing natural language instructions in a collaborative environment. I will propose the task of learning to follow sequences of instructions in a collaborative scenario, where two agents, a leader and a follower, execute actions in the environment and the leader controls the follower using natural language. To study this problem, we build CerealBar, a multi-player 3D game where a leader instructs a follower, and both act in the environment together to accomplish complex goals. I will focus on learning an autonomous follower that executes the instructions of a human leader. I will briefly describe a model to address this problem, and a learning method that relies on static recorded human-human interactions, while still learning to recover from cascading errors between instructions.

Organizer

About ICML 2020

The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

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