@inproceedings{5db8ae9bfa7e4a87b4d9deba32fb320b,
title = "Comparing Randomization Strategies for Search-Control Parameters in Monte-Carlo Tree Search",
abstract = "Monte-Carlo Tree Search (MCTS) has been applied successfully in many domains. Previous research has shown that adding randomization to certain components of MCTS might increase the diversification of the search and improve the performance. In a domain that tackles many games with different characteristics, like General Game Playing (GGP), trying to diversify the search might be a good strategy. This paper investigates the effect of randomizing search-control parameters for MCTS in GGP. Four different randomization strategies are compared and results show that randomizing parameter values before each simulation has a positive effect on the search in some of the tested games. Moreover, parameter randomization is compared with on-line parameter tuning.",
keywords = "Monte-Carlo tree search, search-control parameter, randomization, General Game Playing",
author = "Sironi, {Chiara F.} and Winands, {Mark H. M.}",
note = "Funding Information: This work is funded by the Netherlands Organisation for Scientific Research (NWO) in the framework of the project GoGeneral, grant number 612.001.121. Publisher Copyright: {\textcopyright} 2019 IEEE.; IEEE Conference on Games (CoG) 2019 , COG ; Conference date: 20-08-2019 Through 23-08-2019",
year = "2019",
month = aug,
doi = "10.1109/CIG.2019.8848056",
language = "English",
isbn = "9781728118840",
series = "IEEE Conference on Computational Intelligence and Games",
publisher = "IEEE",
pages = "1--8",
booktitle = "2019 IEEE Conference on Games (CoG)",
address = "United States",
}