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Time-aware deep reinforcement learning with multi-temporal abstraction

Crossref DOI link: https://doi.org/10.1007/s10489-022-04392-5

Published Online: 2023-03-25

Published Print: 2023-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kim, Yeo Jin https://orcid.org/0000-0001-5760-2959
Chi, Min
Funding

Funding for this research was provided by:

U.S. Department of Energy (DE-AR0000976)

National Science Foundation (CAREER-1651909)
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Text and Data Mining valid from 2023-03-25

Version of Record valid from 2023-03-25
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Article History

Accepted: 6 December 2022

First Online: 25 March 2023