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A Differentiable Physics Engine for Deep Learning in Robotics
An important field in robotics is the optimization of controllers. Currently, robots are often treated as a black box in this optimization process, which is the reason why derivative-free optimization methods such as evolutionary algorithms or reinforcement learning are omnipresent. When gradient-ba...
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| Publicado no: | Front Neurorobot |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6416213/ https://ncbi.nlm.nih.gov/pubmed/30899218 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnbot.2019.00006 |
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