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Software . 2026
License: CC BY
Data sources: Datacite
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
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Generalized Proof-Number Monte-Carlo Tree Search Code Repository

Authors: Kowalski, Jakub; Soemers, Dennis; Kosakowski, Szymon; Winands, Mark;

Generalized Proof-Number Monte-Carlo Tree Search Code Repository

Abstract

Repository with the main source files (only parts updated from the forked Ludeme/Ludii repository) for the Generalized Proof-Number Monte-Carlo Tree Search article (Jakub Kowalski, Dennis J.N.J. Soemers, Szymon Kosakowski, Mark H.M. Winands; Frontiers in Artificial Intelligence and Applications, Volume 413: ECAI 2025). Acknowledgement: This article is based on the work of COST Action CA22145 – GameTable, supported by COST (European Cooperation in Science andTechnology). This work reflects only the authors' views, and the Union is not liable for any use that may be made of the contained information.This research was also supported in part by the National Science Centre, Poland, under project number 2021/41/B/ST6/03691 (Jakub Kowalski).

Keywords

Artificial intelligence, Games, Experimental, Monte Carlo Method

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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