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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

Just Ask: An Interactive Learning Framework for Vision and Language Navigation

February 1, 2023

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Authors

Ta-Chung Chi

Carnegie Mellon University


Minmin Shen

Alexa AI


Mihail Eric

Alexa AI


Seokhwan Kim

Alexa AI


Dilek Hakkani-tur

Alexa AI


DOI:

10.1609/aaai.v34i03.5627


Abstract:

In the vision and language navigation task (Anderson et al. 2018), the agent may encounter ambiguous situations that are hard to interpret by just relying on visual information and natural language instructions. We propose an interactive learning framework to endow the agent with the ability to ask for users' help in such situations. As part of this framework, we investigate multiple learning approaches for the agent with different levels of complexity. The simplest model-confusion-based method lets the agent ask questions based on its confusion, relying on the predefined confidence threshold of a next action prediction model. To build on this confusion-based method, the agent is expected to demonstrate more sophisticated reasoning such that it discovers the timing and locations to interact with a human. We achieve this goal using reinforcement learning (RL) with a proposed reward shaping term, which enables the agent to ask questions only when necessary. The success rate can be boosted by at least 15% with only one question asked on average during the navigation. Furthermore, we show that the RL agent is capable of adjusting dynamically to noisy human responses. Finally, we design a continual learning strategy, which can be viewed as a data augmentation method, for the agent to improve further utilizing its interaction history with a human. We demonstrate the proposed strategy is substantially more realistic and data-efficient compared to previously proposed pre-exploration techniques.

Topics: AAAI

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HOW TO CITE:

Ta-Chung Chi||Minmin Shen||Mihail Eric||Seokhwan Kim||Dilek Hakkani-tur Just Ask: An Interactive Learning Framework for Vision and Language Navigation Proceedings of the AAAI Conference on Artificial Intelligence (2020) 2459-2466.

Ta-Chung Chi||Minmin Shen||Mihail Eric||Seokhwan Kim||Dilek Hakkani-tur Just Ask: An Interactive Learning Framework for Vision and Language Navigation AAAI 2020, 2459-2466.

Ta-Chung Chi||Minmin Shen||Mihail Eric||Seokhwan Kim||Dilek Hakkani-tur (2020). Just Ask: An Interactive Learning Framework for Vision and Language Navigation. Proceedings of the AAAI Conference on Artificial Intelligence, 2459-2466.

Ta-Chung Chi||Minmin Shen||Mihail Eric||Seokhwan Kim||Dilek Hakkani-tur. Just Ask: An Interactive Learning Framework for Vision and Language Navigation. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.2459-2466.

Ta-Chung Chi||Minmin Shen||Mihail Eric||Seokhwan Kim||Dilek Hakkani-tur. 2020. Just Ask: An Interactive Learning Framework for Vision and Language Navigation. "Proceedings of the AAAI Conference on Artificial Intelligence". 2459-2466.

Ta-Chung Chi||Minmin Shen||Mihail Eric||Seokhwan Kim||Dilek Hakkani-tur. (2020) "Just Ask: An Interactive Learning Framework for Vision and Language Navigation", Proceedings of the AAAI Conference on Artificial Intelligence, p.2459-2466

Ta-Chung Chi||Minmin Shen||Mihail Eric||Seokhwan Kim||Dilek Hakkani-tur, "Just Ask: An Interactive Learning Framework for Vision and Language Navigation", AAAI, p.2459-2466, 2020.

Ta-Chung Chi||Minmin Shen||Mihail Eric||Seokhwan Kim||Dilek Hakkani-tur. "Just Ask: An Interactive Learning Framework for Vision and Language Navigation". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.2459-2466.

Ta-Chung Chi||Minmin Shen||Mihail Eric||Seokhwan Kim||Dilek Hakkani-tur. "Just Ask: An Interactive Learning Framework for Vision and Language Navigation". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 2459-2466.

Ta-Chung Chi||Minmin Shen||Mihail Eric||Seokhwan Kim||Dilek Hakkani-tur. Just Ask: An Interactive Learning Framework for Vision and Language Navigation. AAAI[Internet]. 2020[cited 2023]; 2459-2466.


ISSN: 2374-3468


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