Nengli Lim, Yueqin Li. Bayesian Optimization for Backpropagation in Monte-Carlo Tree Search. In Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter, editors, Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part II. Volume 12892 of Lecture Notes in Computer Science, pages 209-221, Springer, 2021. [doi]
@inproceedings{LimL21-4,
title = {Bayesian Optimization for Backpropagation in Monte-Carlo Tree Search},
author = {Nengli Lim and Yueqin Li},
year = {2021},
doi = {10.1007/978-3-030-86340-1_17},
url = {https://doi.org/10.1007/978-3-030-86340-1_17},
researchr = {https://researchr.org/publication/LimL21-4},
cites = {0},
citedby = {0},
pages = {209-221},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part II},
editor = {Igor Farkas and Paolo Masulli and Sebastian Otte and Stefan Wermter},
volume = {12892},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-86340-1},
}