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1 Ergebnisse
1
Leveraging Human Feedback to Evolve and Discover Novel Emer..:
, In:
Proceedings of the Genetic and Evolutionary Computation Conference
,
Mattson, Connor
;
Brown, Daniel S.
- p. 56-64 , 2023
Link:
https://dl.acm.org/doi/10.1145/3583131.3590443
RT T1 <cTitle>Proceedings of the Genetic and Evolutionary Computation Conference</cTitle>: T1 <Title>Leveraging Human Feedback to Evolve and Discover Novel Emergent Behaviors in Robot Swarms</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3590443&Exemplar=1&LAN=DE A1 Mattson, Connor A1 Brown, Daniel S. PB ACM YR 2023 K1 swarms K1 novelty search K1 emergent behaviors K1 similarity learning K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Learning latent representations K1 Bio-inspired approaches K1 Genetic algorithms K1 Artificial intelligence K1 Distributed artificial intelligence K1 Multi-agent systems K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Robotics SP 56 OP 64 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3583131.3590443 DO https://dl.acm.org/doi/10.1145/3583131.3590443 SF ELIB - SuUB Bremen
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