Peng Shi, Dario Landa Silva. Approximate Dynamic Programming with Combined Policy Functions for Solving Multi-stage Nurse Rostering Problem. In Giuseppe Nicosia, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton, editors, Machine Learning, Optimization, and Big Data - Third International Conference, MOD 2017, Volterra, Italy, September 14-17, 2017, Revised Selected Papers. Volume 10710 of Lecture Notes in Computer Science, pages 349-361, Springer, 2017. [doi]
@inproceedings{ShiL17-4,
title = {Approximate Dynamic Programming with Combined Policy Functions for Solving Multi-stage Nurse Rostering Problem},
author = {Peng Shi and Dario Landa Silva},
year = {2017},
doi = {10.1007/978-3-319-72926-8_29},
url = {https://doi.org/10.1007/978-3-319-72926-8_29},
researchr = {https://researchr.org/publication/ShiL17-4},
cites = {0},
citedby = {0},
pages = {349-361},
booktitle = {Machine Learning, Optimization, and Big Data - Third International Conference, MOD 2017, Volterra, Italy, September 14-17, 2017, Revised Selected Papers},
editor = {Giuseppe Nicosia and Panos M. Pardalos and Giovanni Giuffrida and Renato Umeton},
volume = {10710},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-72926-8},
}