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Network Layer Analysis for a RL-Based Robotic Reaching Task
Recent experiments indicate that pretraining of end-to-end reinforcement learning neural networks on general tasks can speed up the training process for specific robotic applications. However, it remains open if these networks form general feature extractors and a hierarchical organization that can...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9260386/ https://www.ncbi.nlm.nih.gov/pubmed/35813855 http://dx.doi.org/10.3389/frobt.2022.799644 |