Unbiased Model-Agnostic Metalearning Algorithm for Learning Target-Driven Visual Navigation Policy

As deep reinforcement learning methods have made great progress in the visual navigation field, metalearning-based algorithms are gaining more attention since they greatly improve the expansibility of moving agents. According to metatraining mechanism, typically an initial model is trained as a meta...

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Detalles Bibliográficos
Autores principales: Xue, Tianfang, Yu, Haibin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674067/
https://www.ncbi.nlm.nih.gov/pubmed/34925492
http://dx.doi.org/10.1155/2021/5620751

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674067/
https://www.ncbi.nlm.nih.gov/pubmed/34925492
http://dx.doi.org/10.1155/2021/5620751

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