Re-trainable Procedural Level Generation via Machine Learning (RT-PLGML) as Game Mechanic

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

Original language	Undefined/Unknown
Title of host publication	Proceedings of the 18th International Conference on the Foundations of Digital Games
Number of pages	3
Publication date	2023
Pages	1-3
DOIs	https://doi.org/10.1145/3582437.3587210
Publication status	Published - 2023

Access to Document

@inproceedings{1e9ec675e58042d680a04956534cdb2e,

title = "Re-trainable Procedural Level Generation via Machine Learning (RT-PLGML) as Game Mechanic",

author = "Seth Cooper and Emily Halina and Jichen Zhu and Matthew Guzdial",

year = "2023",

doi = "10.1145/3582437.3587210",

language = "Udefineret/Ukendt",

pages = "1--3",

booktitle = "Proceedings of the 18th International Conference on the Foundations of Digital Games",

}

TY - GEN

T1 - Re-trainable Procedural Level Generation via Machine Learning (RT-PLGML) as Game Mechanic

AU - Cooper, Seth

AU - Halina, Emily

AU - Zhu, Jichen

AU - Guzdial, Matthew

PY - 2023

Y1 - 2023

U2 - 10.1145/3582437.3587210

DO - 10.1145/3582437.3587210

M3 - Konferencebidrag i proceedings

SP - 1

EP - 3

BT - Proceedings of the 18th International Conference on the Foundations of Digital Games

ER -