Interpretable reinforcement learning with structured policies for prescriptive supply chain analytics.

Huang Y, Li W.

DOI: 10.1038/s41598-026-61734-w
Published: 2026-07-15
Container: Sci Rep
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-61734-w,
  title = {Interpretable reinforcement learning with structured policies for prescriptive supply chain analytics.},
  author = {Huang Y and  Li W.},
  year = {2026},
  journal = {Sci Rep},
  doi = {10.1038/s41598-026-61734-w},
  url = {https://doi.org/10.1038/s41598-026-61734-w}
}

RIS

TY  - JOUR
TI  - Interpretable reinforcement learning with structured policies for prescriptive supply chain analytics.
AU  - Huang Y
AU  -  Li W.
PY  - 2026
JO  - Sci Rep
DO  - 10.1038/s41598-026-61734-w
UR  - https://doi.org/10.1038/s41598-026-61734-w
ER  -

APA

Y, H., & W., L. (2026). Interpretable reinforcement learning with structured policies for prescriptive supply chain analytics.. Sci Rep. https://doi.org/10.1038/s41598-026-61734-w

Source records

europe-pmc · retrieved 2026-09-26T03:53:00.103Z