An Experimental Study on State Representation Extraction for Vision-Based Deep Reinforcement Learning

Scaling end-to-end learning to control robots with vision inputs is a challenging problem in the field of deep reinforcement learning (DRL). While achieving remarkable success in complex sequential tasks, vision-based DRL remains extremely data-inefficient, especially when dealing with high-dimensio...

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Autores principales: Junkai Ren, Yujun Zeng, Sihang Zhou, Yichuan Zhang
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/d3239a38c9224fd5889324606428bb69
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