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Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Dataset and models of TMLR 2024 Paper "Identifying and Clustering Counter Relationships of Team Compositions in PvP Games for Efficient Balance Analysis"

Authors: Lin, Chiu-Chou; Chen, Yu-Cheng; Chen, Chien-Hua;

Dataset and models of TMLR 2024 Paper "Identifying and Clustering Counter Relationships of Team Compositions in PvP Games for Efficient Balance Analysis"

Abstract

This is a part of dataset and models of the paper published in TMLR 2024 (Transactions on Machine Learning Research, https://jmlr.org/tmlr/). Including training datasets, testing datasets, and models. The example program for using this file will be put on the author's github repo branch: https://github.com/DSobscure/cgi_drl_platform/tree/game_balance_measures_tmlr

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Keywords

Discrete Representation Learning, Video Game, Online Games, Artificial Intelligence, Rating System, Counter Relationships, Game Balance

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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