BriefGPT.xyz
Jan, 2023
PAC学习和稳定Hedonic Games:走向统一方法
PAC learning and stabilizing Hedonic Games: towards a unifying approach
HTML
PDF
Simone Fioravanti, Michele Flammini, Bojana Kodric, Giovanna Varricchio
TL;DR
探究Hedonic Games的PAC可学习性和PAC稳定性,并提供不同类别的学习/稳定性结果,特别是在全表达形式下的Hedonic Coalition Nets表述中,我们识别了两组条件并针对特定Hedonic Games类别阐明了推动学习/稳定性的结构属性。
Abstract
We study
pac learnability
and
pac stabilizability
of
hedonic games
(HGs), i.e., efficiently inferring
→