Leo Ghignone, Michael Barlow. Shallow Network Training With Dynamic Sample Weights Decay - a Potential Function Approximator for Reinforcement Learning. In IEEE Symposium Series on Computational Intelligence, SSCI 2019, Xiamen, China, December 6-9, 2019. pages 149-154, IEEE, 2019. [doi]
@inproceedings{GhignoneB19,
title = {Shallow Network Training With Dynamic Sample Weights Decay - a Potential Function Approximator for Reinforcement Learning},
author = {Leo Ghignone and Michael Barlow},
year = {2019},
doi = {10.1109/SSCI44817.2019.9003124},
url = {https://doi.org/10.1109/SSCI44817.2019.9003124},
researchr = {https://researchr.org/publication/GhignoneB19},
cites = {0},
citedby = {0},
pages = {149-154},
booktitle = {IEEE Symposium Series on Computational Intelligence, SSCI 2019, Xiamen, China, December 6-9, 2019},
publisher = {IEEE},
isbn = {978-1-7281-2485-8},
}