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

Learning to Interactively Learn and Assist

February 1, 2023

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Authors

Mark Woodward

Google Brain


Chelsea Finn

Google Brain


Karol Hausman

Google Brain


DOI:

10.1609/aaai.v34i03.5636


Abstract:

When deploying autonomous agents in the real world, we need effective ways of communicating objectives to them. Traditional skill learning has revolved around reinforcement and imitation learning, each with rigid constraints on the format of information exchanged between the human and the agent. While scalar rewards carry little information, demonstrations require significant effort to provide and may carry more information than is necessary. Furthermore, rewards and demonstrations are often defined and collected before training begins, when the human is most uncertain about what information would help the agent. In contrast, when humans communicate objectives with each other, they make use of a large vocabulary of informative behaviors, including non-verbal communication, and often communicate throughout learning, responding to observed behavior. In this way, humans communicate intent with minimal effort. In this paper, we propose such interactive learning as an alternative to reward or demonstration-driven learning. To accomplish this, we introduce a multi-agent training framework that enables an agent to learn from another agent who knows the current task. Through a series of experiments, we demonstrate the emergence of a variety of interactive learning behaviors, including information-sharing, information-seeking, and question-answering. Most importantly, we find that our approach produces an agent that is capable of learning interactively from a human user, without a set of explicit demonstrations or a reward function, and achieving significantly better performance cooperatively with a human than a human performing the task alone.

Topics: AAAI

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HOW TO CITE:

Mark Woodward||Chelsea Finn||Karol Hausman Learning to Interactively Learn and Assist Proceedings of the AAAI Conference on Artificial Intelligence (2020) 2535-2543.

Mark Woodward||Chelsea Finn||Karol Hausman Learning to Interactively Learn and Assist AAAI 2020, 2535-2543.

Mark Woodward||Chelsea Finn||Karol Hausman (2020). Learning to Interactively Learn and Assist. Proceedings of the AAAI Conference on Artificial Intelligence, 2535-2543.

Mark Woodward||Chelsea Finn||Karol Hausman. Learning to Interactively Learn and Assist. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.2535-2543.

Mark Woodward||Chelsea Finn||Karol Hausman. 2020. Learning to Interactively Learn and Assist. "Proceedings of the AAAI Conference on Artificial Intelligence". 2535-2543.

Mark Woodward||Chelsea Finn||Karol Hausman. (2020) "Learning to Interactively Learn and Assist", Proceedings of the AAAI Conference on Artificial Intelligence, p.2535-2543

Mark Woodward||Chelsea Finn||Karol Hausman, "Learning to Interactively Learn and Assist", AAAI, p.2535-2543, 2020.

Mark Woodward||Chelsea Finn||Karol Hausman. "Learning to Interactively Learn and Assist". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.2535-2543.

Mark Woodward||Chelsea Finn||Karol Hausman. "Learning to Interactively Learn and Assist". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 2535-2543.

Mark Woodward||Chelsea Finn||Karol Hausman. Learning to Interactively Learn and Assist. AAAI[Internet]. 2020[cited 2023]; 2535-2543.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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