Domain Adaptation for Imitation Learning Using Generative Adversarial Network

Imitation learning is an effective approach for an autonomous agent to learn control policies when an explicit reward function is unavailable, using demonstrations provided from an expert. However, standard imitation learning methods assume that the agents and the demonstrations provided by the expe...

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Detalles Bibliográficos
Autores principales: Nguyen Duc, Tho, Tran, Chanh Minh, Tan, Phan Xuan, Kamioka, Eiji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309483/
https://www.ncbi.nlm.nih.gov/pubmed/34300456
http://dx.doi.org/10.3390/s21144718

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309483/
https://www.ncbi.nlm.nih.gov/pubmed/34300456
http://dx.doi.org/10.3390/s21144718

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