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Prioritized experience replay in path planning via multi-dimensional transition priority fusion

INTRODUCTION: Deep deterministic policy gradient (DDPG)-based path planning algorithms for intelligent robots struggle to discern the value of experience transitions during training due to their reliance on a random experience replay. This can lead to inappropriate sampling of experience transitions...

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Detalles Bibliográficos
Autores principales:	Cheng, Nuo, Wang, Peng, Zhang, Guangyuan, Ni, Cui, Nematov, Erkin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684733/ https://www.ncbi.nlm.nih.gov/pubmed/38034838 http://dx.doi.org/10.3389/fnbot.2023.1281166

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