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Autonomous learning of features for control: Experiments with embodied and situated agents

The efficacy of evolutionary or reinforcement learning algorithms for continuous control optimization can be enhanced by including an additional neural network dedicated to features extraction trained through self-supervision. In this paper we introduce a method that permits to continue the training...

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Bibliografski detalji
Izdano u:PLoS One
Glavni autori: Milano, Nicola, Nolfi, Stefano
Format: Artigo
Jezik:Inglês
Izdano: Public Library of Science 2021
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8049238/
https://ncbi.nlm.nih.gov/pubmed/33857220
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0250040
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