Multiple Self-Supervised Auxiliary Tasks for Target-Driven Visual Navigation Using Deep Reinforcement Learning

Visual navigation based on deep reinforcement learning requires a large amount of interaction with the environment, and due to the reward sparsity, it requires a large amount of training time and computational resources. In this paper, we focus on sample efficiency and navigation performance and pro...

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Detalles Bibliográficos
Autores principales: Zhang, Wenzhi, He, Li, Wang, Hongwei, Yuan, Liang, Xiao, Wendong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378290/
https://www.ncbi.nlm.nih.gov/pubmed/37509957
http://dx.doi.org/10.3390/e25071007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378290/
https://www.ncbi.nlm.nih.gov/pubmed/37509957
http://dx.doi.org/10.3390/e25071007

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