A Method Integrating Q-Learning With Approximate Dynamic Programming for Gantry Work Cell Scheduling. Ou, X., Chang, Q., & Chakraborty, N. IEEE Trans Autom. Sci. Eng., 18(1):85–93, 2021. Paper doi bibtex @article{DBLP:journals/tase/OuCC21,
author = {Xinyan Ou and
Qing Chang and
Nilanjan Chakraborty},
title = {A Method Integrating Q-Learning With Approximate Dynamic Programming
for Gantry Work Cell Scheduling},
journal = {{IEEE} Trans Autom. Sci. Eng.},
volume = {18},
number = {1},
pages = {85--93},
year = {2021},
url = {https://doi.org/10.1109/TASE.2020.2984739},
doi = {10.1109/TASE.2020.2984739},
timestamp = {Tue, 26 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/tase/OuCC21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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