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1 Ergebnisse
1
Efficient Exploration in Edge-Friendly Hyperdimensional Rei..:
, In:
Proceedings of the Great Lakes Symposium on VLSI 2024
,
Ni, Yang
;
Chung, William Y.
;
Cho, Samuel
.. - p. 111-118 , 2024
Link:
https://dl.acm.org/doi/10.1145/3649476.3658760
RT T1 <cTitle>Proceedings of the Great Lakes Symposium on VLSI 2024</cTitle>: T1 <Title>Efficient Exploration in Edge-Friendly Hyperdimensional Reinforcement Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3658760&Exemplar=1&LAN=DE A1 Ni, Yang A1 Chung, William Y. A1 Cho, Samuel A1 Zou, Zhuowen A1 Imani, Mohsen PB ACM YR 2024 K1 Agent Exploration K1 Brain-inspired Computing K1 Hyperdimensional Computing K1 Reinforcement Learning K1 Computing methodologies K1 Machine learning K1 Artificial intelligence K1 Distributed artificial intelligence K1 Intelligent agents K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Embedded systems SP 111 OP 118 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3649476.3658760 DO https://dl.acm.org/doi/10.1145/3649476.3658760 SF ELIB - SuUB Bremen
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