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Hierarchical reinforcement learning via dynamic subspace search for multi-agent planning

Crossref DOI link: https://doi.org/10.1007/s10514-019-09871-2

Published Online: 2019-07-12

Published Print: 2020-03

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

Authors

Ma, Aaron https://orcid.org/0000-0003-4397-2881
Ouimet, Michael

Cortés, Jorge https://orcid.org/0000-0001-9582-5184
Funding

Funding for this research was provided by:

Office of Naval Research (N00014-16-1-2836)
License Information

Text and Data Mining valid from 2019-07-12

Version of Record valid from 2019-07-12
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Article History

Received: 24 April 2018

Accepted: 22 June 2019

First Online: 12 July 2019