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Home > Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 32

Gated-Attention Architectures for Task-Oriented Language Grounding

March 15, 2023

Authors

Devendra Singh Chaplot

Carnegie Mellon University


Kanthashree Mysore Sathyendra

Carnegie Mellon University, Language Technologies Institute


Rama Kumar Pasumarthi

Carnegie Mellon University, Language Technologies Institute


Dheeraj Rajagopal

Carnegie Mellon University, Language Technologies Institute


Ruslan Salakhutdinov

Carnegie Mellon University


Published:

2018-02-08

Proceedings:

Proceedings of the AAAI Conference on Artificial Intelligence, 32

Volume

Issue:

Thirty-Second AAAI Conference on Artificial Intelligence 2018

Track:

AAAI Technical Track: Machine Learning

Downloads:

Download PDF

Abstract:

To perform tasks specified by natural language instructions, autonomous agents need to extract semantically meaningful representations of language and map it to visual elements and actions in the environment. This problem is called task-oriented language grounding. We propose an end-to-end trainable neural architecture for task-oriented language grounding in 3D environments which assumes no prior linguistic or perceptual knowledge and requires only raw pixels from the environment and the natural language instruction as input. The proposed model combines the image and text representations using a Gated-Attention mechanism and learns a policy to execute the natural language instruction using standard reinforcement and imitation learning methods. We show the effectiveness of the proposed model on unseen instructions as well as unseen maps, both quantitatively and qualitatively. We also introduce a novel environment based on a 3D game engine to simulate the challenges of task-oriented language grounding over a rich set of instructions and environment states.

DOI:

10.1609/aaai.v32i1.11832


AAAI

Thirty-Second AAAI Conference on Artificial Intelligence 2018


ISSN 2374-3468 (Online) ISSN 2159-5399 (Print)


Published by AAAI Press, Palo Alto, California USA Copyright © 2018, Association for the Advancement of Artificial Intelligence All Rights Reserved.

Topics: AAAI

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