C2RL: Convolutional-Contrastive Learning for Reinforcement Learning Based on Self-Pretraining for Strong Augmentation

Reinforcement learning agents that have not been seen during training must be robust in test environments. However, the generalization problem is challenging to solve in reinforcement learning using high-dimensional images as the input. The addition of a self-supervised learning framework with data...

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Detalles Bibliográficos
Autores principales: Park, Sanghoon, Kim, Jihun, Jeong, Han-You, Kim, Tae-Kyoung, Yoo, Jinwoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222541/
https://www.ncbi.nlm.nih.gov/pubmed/37430860
http://dx.doi.org/10.3390/s23104946

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222541/
https://www.ncbi.nlm.nih.gov/pubmed/37430860
http://dx.doi.org/10.3390/s23104946

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