Reinforcement Learning Approaches in Social Robotics

This article surveys reinforcement learning approaches in social robotics. Reinforcement learning is a framework for decision-making problems in which an agent interacts through trial-and-error with its environment to discover an optimal behavior. Since interaction is a key component in both reinfor...

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Detalles Bibliográficos
Autores principales: Akalin, Neziha, Loutfi, Amy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918897/
https://www.ncbi.nlm.nih.gov/pubmed/33670257
http://dx.doi.org/10.3390/s21041292

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918897/
https://www.ncbi.nlm.nih.gov/pubmed/33670257
http://dx.doi.org/10.3390/s21041292

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