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1 Ergebnisse
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Empirical evaluation of contextual policy search with a com..:
, In:
Proceedings of the Genetic and Evolutionary Computation Conference Companion
,
Fabisch, Alexander
- p. 251-252 , 2019
Link:
https://dl.acm.org/doi/10.1145/3319619.3321935
RT T1 <cTitle>Proceedings of the Genetic and Evolutionary Computation Conference Companion</cTitle>: T1 <Title>Empirical evaluation of contextual policy search with a comparison-based surrogate model and active covariance matrix adaptation</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3321935&Exemplar=1&LAN=DE A1 Fabisch, Alexander PB ACM YR 2019 K1 black-box optimization K1 multi-task learning K1 policy search K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Reinforcement learning K1 Sequential decision making SP 251 OP 252 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3319619.3321935 DO https://dl.acm.org/doi/10.1145/3319619.3321935 SF ELIB - SuUB Bremen
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