An Evaluation Methodology for Interactive Reinforcement Learning with Simulated Users

Interactive reinforcement learning methods utilise an external information source to evaluate decisions and accelerate learning. Previous work has shown that human advice could significantly improve learning agents’ performance. When evaluating reinforcement learning algorithms, it is common to repe...

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Detalles Bibliográficos
Autores principales: Bignold, Adam, Cruz, Francisco, Dazeley, Richard, Vamplew, Peter, Foale, Cameron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985787/
https://www.ncbi.nlm.nih.gov/pubmed/33572399
http://dx.doi.org/10.3390/biomimetics6010013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985787/
https://www.ncbi.nlm.nih.gov/pubmed/33572399
http://dx.doi.org/10.3390/biomimetics6010013

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