Marta Fochesato, Fazel Khayatian, Doris Fonseca Lima, Zoltan Nagy. On the use of conditional TimeGAN to enhance the robustness of a reinforcement learning agent in the building domain. In Jorge Ortiz 0001, editor, Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2022, Boston, Massachusetts, November 9-10, 2022. pages 208-217, ACM, 2022. [doi]
@inproceedings{FochesatoKLN22,
title = {On the use of conditional TimeGAN to enhance the robustness of a reinforcement learning agent in the building domain},
author = {Marta Fochesato and Fazel Khayatian and Doris Fonseca Lima and Zoltan Nagy},
year = {2022},
doi = {10.1145/3563357.3564080},
url = {https://doi.org/10.1145/3563357.3564080},
researchr = {https://researchr.org/publication/FochesatoKLN22},
cites = {0},
citedby = {0},
pages = {208-217},
booktitle = {Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2022, Boston, Massachusetts, November 9-10, 2022},
editor = {Jorge Ortiz 0001},
publisher = {ACM},
isbn = {978-1-4503-9890-9},
}