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Searching for a Diversity of Interpretable Graph Control Po..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,

Nadizar, Giorgia ; Medvet, Eric ; Wilson, Dennis - p. 933-941 , 2024

Link: https://dl.acm.org/doi/10.1145/3638529.3653987

RT 
T1 <cTitle>Proceedings of the Genetic and Evolutionary Computation Conference</cTitle>: T1 <Title>Searching for a Diversity of Interpretable Graph Control Policies</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3653987&Exemplar=1&LAN=DE
				
A1 Nadizar, Giorgia
A1 Medvet, Eric
A1 Wilson, Dennis
PB ACM
YR 2024
K1 graph-based genetic programming
K1 cartesian genetic programming
K1 quality-diversity
K1 MAP-elites
K1 interpretable policy
K1 continuous control
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Bio-inspired approaches
K1 Genetic programming
K1 Evolutionary robotics
K1 Artificial intelligence
K1 Distributed artificial intelligence
K1 Mobile agents
K1 Genetic algorithms
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Mathematical optimization
K1 Discrete optimization
K1 Optimization with randomized search heuristics
K1 Evolutionary algorithms
SP 933
OP 941
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3638529.3653987
DO https://dl.acm.org/doi/10.1145/3638529.3653987
SF ELIB - SuUB Bremen

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