A dynamic scheduling framework for co-working space resources optimized by multi-agent reinforcement learning
Crossref DOI link: https://doi.org/10.1007/s44163-026-00873-5
Published Online: 2026-01-25
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ding, Shiyao
Text and Data Mining valid from 2026-01-25
Version of Record valid from 2026-02-17
Article History
Received: 31 October 2025
Accepted: 13 January 2026
First Online: 25 January 2026
Declarations
:
: Not applicable.
: The authors declare no competing interests.