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Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control
In reinforcement learning (RL), dealing with non-stationarity is a challenging issue. However, some domains such as traffic optimization are inherently non-stationary. Causes for and effects of this are manifold. In particular, when dealing with traffic signal controls, addressing non-stationarity i...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8176548/ https://www.ncbi.nlm.nih.gov/pubmed/34141896 http://dx.doi.org/10.7717/peerj-cs.575 |