@inbook{313fe98055e74d82a0f77f2c36e94378,
title = "Sequential halving for partially observable games",
abstract = "This paper investigates Sequential Halving as a selection policy in the following four partially observable games: Go Fish, Lost Cities, Phantom Domineering, and Phantom Go. Additionally, H-MCTS is studied, which uses Sequential Halving at the root of the search tree, and UCB elsewhere. Experimental results reveal that H-MCTS performs the best in Go Fish, whereas its performance is on par in Lost Cities and Phantom Domineering. Sequential Halving as a at Monte-Carlo Search appears to be the stronger technique in Phantom Go.",
author = "Tom Pepels and Tristan Cazenave and Winands, {Mark H M}",
year = "2016",
doi = "10.1007/978-3-319-39402-2_2",
language = "English",
isbn = "9783319394015",
series = "Communications in Computer and Information Science",
publisher = "Springer",
pages = "16--29",
booktitle = "Computer Games",
address = "United States",
}