Cargando…
Reinforcement learning-based dynamic obstacle avoidance and integration of path planning
Deep reinforcement learning has the advantage of being able to encode fairly complex behaviors by collecting and learning empirical information. In the current study, we have proposed a framework for reinforcement learning in decentralized collision avoidance where each agent independently makes its...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8493784/ https://www.ncbi.nlm.nih.gov/pubmed/34642589 http://dx.doi.org/10.1007/s11370-021-00387-2 |