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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 36 / No. 6: AAAI-22 Technical Tracks 6

Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks

February 1, 2023

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Authors

Yijie Guo

University of Michigan


Qiucheng Wu

University of Michigan


Honglak Lee

LG AI Research University of Michigan


DOI:

10.1609/aaai.v36i6.20635


Abstract:

Meta reinforcement learning (meta-RL) aims to learn a policy solving a set of training tasks simultaneously and quickly adapting to new tasks. It requires massive amounts of data drawn from training tasks to infer the common structure shared among tasks. Without heavy reward engineering, the sparse rewards in long-horizon tasks exacerbate the problem of sample efficiency in meta-RL. Another challenge in meta-RL is the discrepancy of difficulty level among tasks, which might cause one easy task dominating learning of the shared policy and thus preclude policy adaptation to new tasks. This work introduces a novel objective function to learn an action translator among training tasks. We theoretically verify that the value of the transferred policy with the action translator can be close to the value of the source policy and our objective function (approximately) upper bounds the value difference. We propose to combine the action translator with context-based meta-RL algorithms for better data collection and moreefficient exploration during meta-training. Our approach em-pirically improves the sample efficiency and performance ofmeta-RL algorithms on sparse-reward tasks.

Topics: AAAI

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HOW TO CITE:

Yijie Guo||Qiucheng Wu||Honglak Lee Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks Proceedings of the AAAI Conference on Artificial Intelligence (2022) 6792-6800.

Yijie Guo||Qiucheng Wu||Honglak Lee Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks AAAI 2022, 6792-6800.

Yijie Guo||Qiucheng Wu||Honglak Lee (2022). Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks. Proceedings of the AAAI Conference on Artificial Intelligence, 6792-6800.

Yijie Guo||Qiucheng Wu||Honglak Lee. Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks. Proceedings of the AAAI Conference on Artificial Intelligence 2022 p.6792-6800.

Yijie Guo||Qiucheng Wu||Honglak Lee. 2022. Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks. "Proceedings of the AAAI Conference on Artificial Intelligence". 6792-6800.

Yijie Guo||Qiucheng Wu||Honglak Lee. (2022) "Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks", Proceedings of the AAAI Conference on Artificial Intelligence, p.6792-6800

Yijie Guo||Qiucheng Wu||Honglak Lee, "Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks", AAAI, p.6792-6800, 2022.

Yijie Guo||Qiucheng Wu||Honglak Lee. "Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks". Proceedings of the AAAI Conference on Artificial Intelligence, 2022, p.6792-6800.

Yijie Guo||Qiucheng Wu||Honglak Lee. "Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks". Proceedings of the AAAI Conference on Artificial Intelligence, (2022): 6792-6800.

Yijie Guo||Qiucheng Wu||Honglak Lee. Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks. AAAI[Internet]. 2022[cited 2023]; 6792-6800.


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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