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Learn to Steer through Deep Reinforcement Learning
It is crucial for robots to autonomously steer in complex environments safely without colliding with any obstacles. Compared to conventional methods, deep reinforcement learning-based methods are able to learn from past experiences automatically and enhance the generalization capability to cope with...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6263476/ https://ncbi.nlm.nih.gov/pubmed/30373261 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18113650 |
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