Optimizing hyperparameters of deep reinforcement learning for autonomous driving based on whale optimization algorithm

Deep Reinforcement Learning (DRL) enables agents to make decisions based on a well-designed reward function that suites a particular environment without any prior knowledge related to a given environment. The adaptation of hyperparameters has a great impact on the overall learning process and the le...

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Detalles Bibliográficos
Autores principales: Ashraf, Nesma M., Mostafa, Reham R., Sakr, Rasha H., Rashad, M. Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8191943/
https://www.ncbi.nlm.nih.gov/pubmed/34111168
http://dx.doi.org/10.1371/journal.pone.0252754

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8191943/
https://www.ncbi.nlm.nih.gov/pubmed/34111168
http://dx.doi.org/10.1371/journal.pone.0252754

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