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1
Optimizing the Spatio-Temporal Resource Search Problem with..:
, In:
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
,
Borutta, Felix
;
Schmoll, Sebastian
;
Friedl, Sabrina
- p. 628-631 , 2019
Link:
https://dl.acm.org/doi/10.1145/3347146.3363351
RT T1 <cTitle>Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems</cTitle>: T1 <Title>Optimizing the Spatio-Temporal Resource Search Problem with Reinforcement Learning (GIS Cup)</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3363351&Exemplar=1&LAN=DE A1 Borutta, Felix A1 Schmoll, Sebastian A1 Friedl, Sabrina PB ACM YR 2019 K1 Reinforcement Learning K1 Spatio-Temporal Resource Search K1 Computing methodologies K1 Artificial intelligence K1 Planning and scheduling K1 Multi-agent planning SP 628 OP 631 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3347146.3363351 DO https://dl.acm.org/doi/10.1145/3347146.3363351 SF ELIB - SuUB Bremen
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