Transfer Learning Applied to Reinforcement Learning-Based HVAC Control-Reference-Cited by-同舟云学术

Transfer Learning Applied to Reinforcement Learning-Based HVAC Control

Published:2020-04-20 Issue:3 Volume:1 Page:
ISSN:2662-995X
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Lissa Paulo,Schukat Michael,Barrett Enda

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42979-020-00146-7.pdf

Reference28 articles.

1. Barrett E, Linder SP. Autonomous HVAC control. A reinforcement learning approach. 2015. https://doi.org/10.1007/978-3-319-23461-8-1.

2. Gopalakrishnan Kasthurirangan, Khaitan Siddhartha K, Choudhary Alok, Agrawal Ankit. Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection. Constr Build Mater. 2017;157:322–30.

3. Shin Hoo-Chang, Roth Holger, Gao Mingchen, Le Lu, Ziyue Xu, Nogues Isabella, Yao Jianhua, Mollura Daniel J, Summers Ronald M. Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning. IEEE Trans Med Imaging. 2016;35:1285–98.

4. Long Mingsheng, Wang Jianmin, Ding Guiguang, Sun Jia-Guang, Philip SYu. Transfer feature learning with joint distribution adaptation. IEEE Int Conf Comput Vis. 2013;2013:2200–7.

5. Bianchi Reinaldo AC, Celiberto Luiz A, Santos Paulo E, Matsuura Jackson P, Lopez Ramon, de Mantaras Ramon Lopez. Transferring knowledge as heuristics in reinforcement learning: a case-based approach. Artif Intell. 2015;226:102–21.

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