Towards a Broad-Persistent Advising Approach for Deep Interactive Reinforcement Learning in Robotic Environments

Deep Reinforcement Learning (DeepRL) methods have been widely used in robotics to learn about the environment and acquire behaviours autonomously. Deep Interactive Reinforcement 2 Learning (DeepIRL) includes interactive feedback from an external trainer or expert giving advice to help learners choos...

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Detalles Bibliográficos
Autores principales: Nguyen, Hung Son, Cruz, Francisco, Dazeley, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007476/
https://www.ncbi.nlm.nih.gov/pubmed/36904885
http://dx.doi.org/10.3390/s23052681

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007476/
https://www.ncbi.nlm.nih.gov/pubmed/36904885
http://dx.doi.org/10.3390/s23052681

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