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1 Ergebnisse
1
Adapting Surprise Minimizing Reinforcement Learning Techniq..:
, In:
Proceedings of the Twelfth ACM International Conference on Future Energy Systems
,
Arnold, William
;
Srivastava, Tarang
;
Spangher, Lucas
.. - p. 488-492 , 2021
Link:
https://dl.acm.org/doi/10.1145/3447555.3466590
RT T1 <cTitle>Proceedings of the Twelfth ACM International Conference on Future Energy Systems</cTitle>: T1 <Title>Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3466590&Exemplar=1&LAN=DE A1 Arnold, William A1 Srivastava, Tarang A1 Spangher, Lucas A1 Agwan, Utkarsha A1 Spanos, Costas PB ACM YR 2021 K1 Demand Response K1 Novelty minimizing techniques K1 Office building energy demand response K1 Reinforcement Learning K1 Surprise Minimizing Reinforcement Learning K1 Transactive Control K1 Hardware K1 Power and energy K1 Energy distribution K1 Smart grid K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Reinforcement learning SP 488 OP 492 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3447555.3466590 DO https://dl.acm.org/doi/10.1145/3447555.3466590 SF ELIB - SuUB Bremen
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