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1 Ergebnisse
1
Learning Proportionally Fair Allocations with Low Regret:
, In:
Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems
,
Talebi, Mohammad Sadegh
;
Proutiere, Alexandre
- p. 50-52 , 2018
Link:
https://dl.acm.org/doi/10.1145/3219617.3219638
RT T1 <cTitle>Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems</cTitle>: T1 <Title>Learning Proportionally Fair Allocations with Low Regret</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3219638&Exemplar=1&LAN=DE A1 Talebi, Mohammad Sadegh A1 Proutiere, Alexandre PB ACM YR 2018 K1 proportional fairness K1 regret minimization K1 resource allocation K1 stochastic multi-armed bandits K1 Networks K1 Network performance evaluation K1 Network performance modeling K1 Mathematics of computing K1 Probability and statistics K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Reinforcement learning K1 Sequential decision making SP 50 OP 52 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3219617.3219638 DO https://dl.acm.org/doi/10.1145/3219617.3219638 SF ELIB - SuUB Bremen
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