Using HMM in Strategic Games
Computer Science and Game Theory
2014-04-02 v1 Information Retrieval
Machine Learning
Abstract
In this paper we describe an approach to resolve strategic games in which players can assume different types along the game. Our goal is to infer which type the opponent is adopting at each moment so that we can increase the player's odds. To achieve that we use Markov games combined with hidden Markov model. We discuss a hypothetical example of a tennis game whose solution can be applied to any game with similar characteristics.
Keywords
Cite
@article{arxiv.1404.0086,
title = {Using HMM in Strategic Games},
author = {Mario Benevides and Isaque Lima and Rafael Nader and Pedro Rougemont},
journal= {arXiv preprint arXiv:1404.0086},
year = {2014}
}
Comments
In Proceedings DCM 2013, arXiv:1403.7685