Autor:	Graham Erickson, Michael Buro
Rok vydání:	2021
Zdroj:	Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 10:112-118
ISSN:	2334-0924 2326-909X
Popis:	State evaluation and opponent modelling are important areasto consider when designing game-playing Artificial Intelligence.This paper presents a model for predicting whichplayer will win in the real-time strategy game StarCraft.Model weights are learned from replays using logistic regression.We also present some metrics for estimating player skillwhich can be used a features in the predictive model, includingusing a battle simulation as a baseline to compare playerperformance against.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c482dd620cd0becde98c6df23e6e2f27 https://doi.org/10.1609/aiide.v10i1.12725 Zobrazit plný text záznamu