Parallel Distributed Implementation of Neuroevolution of Augmenting Topologies in Continuous Control Tasks

This paper proposes a novel distributed implementation of neuroevolution of augmenting topologies method, which, considering the availability of sufficient computational resources, allows drastically speed up the process of optimal neural network configuration search. The proposed solution includes...

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Vydané v:	2021 IEEE 3rd International Conference on Advanced Trends in Information Theory (ATIT) s. 267 - 271
Hlavní autori:	Achour, Illia, Doroshenko, Anatoliy
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 15.12.2021
Predmet:	artificial neural networks Benchmark testing cloud computing Computational efficiency genetic algorithms Genomics NEAT Network topology Neural networks neuroevolution of augmenting topologies parallel distributed computing Process control reinforcement learning Topology
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