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Visual Pretraining via Contrastive Predictive Model for Pixel-Based Reinforcement Learning
In an attempt to overcome the limitations of reward-driven representation learning in vision-based reinforcement learning (RL), an unsupervised learning framework referred to as the visual pretraining via contrastive predictive model (VPCPM) is proposed to learn the representations detached from the...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460564/ https://www.ncbi.nlm.nih.gov/pubmed/36080961 http://dx.doi.org/10.3390/s22176504 |