Ana Raquel Carmo, Jean-Alexis Delamer, Yoko Watanabe, Rodrigo Ventura, Caroline P. C. Chanel. Entropy-Based Adaptive Exploit-Explore Coefficient for Monte-Carlo Path Planning. In Giuseppe De Giacomo, Alejandro Catalá, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín, Jérôme Lang, editors, ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020). Volume 325 of Frontiers in Artificial Intelligence and Applications, pages 2964-2971, IOS Press, 2020. [doi]
@inproceedings{CarmoDWVC20,
title = {Entropy-Based Adaptive Exploit-Explore Coefficient for Monte-Carlo Path Planning},
author = {Ana Raquel Carmo and Jean-Alexis Delamer and Yoko Watanabe and Rodrigo Ventura and Caroline P. C. Chanel},
year = {2020},
doi = {10.3233/FAIA200470},
url = {https://doi.org/10.3233/FAIA200470},
researchr = {https://researchr.org/publication/CarmoDWVC20},
cites = {0},
citedby = {0},
pages = {2964-2971},
booktitle = {ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020)},
editor = {Giuseppe De Giacomo and Alejandro Catalá and Bistra Dilkina and Michela Milano and Senén Barro and Alberto Bugarín and Jérôme Lang},
volume = {325},
series = {Frontiers in Artificial Intelligence and Applications},
publisher = {IOS Press},
isbn = {978-1-64368-101-6},
}