Markovian Embeddings for Coalitional Bargaining Games
Multiagent Systems
2023-06-21 v1 Computer Science and Game Theory
Machine Learning
Abstract
We examine the Markovian properties of coalition bargaining games, in particular, the case where past rejected proposals cannot be repeated. We propose a Markovian embedding with filtrations to render the sates Markovian and thus, fit into the framework of stochastic games.
Cite
@article{arxiv.2306.11104,
title = {Markovian Embeddings for Coalitional Bargaining Games},
author = {Lucia Cipolina-Kun},
journal= {arXiv preprint arXiv:2306.11104},
year = {2023}
}