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Model-free reinforcement learning for robust locomotion using demonstrations from trajectory optimization
We present a general, two-stage reinforcement learning approach to create robust policies that can be deployed on real robots without any additional training using a single demonstration generated by trajectory optimization. The demonstration is used in the first stage as a starting point to facilit...
| 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/PMC9484268/ https://www.ncbi.nlm.nih.gov/pubmed/36134338 http://dx.doi.org/10.3389/frobt.2022.854212 |