Online Algorithms Modeled After Mousehunt
Data Structures and Algorithms
2015-01-09 v1
Abstract
In this paper we study a variety of novel online algorithm problems inspired by the game Mousehunt. We consider a number of basic models that approximate the game, and we provide solutions to these models using Markov Decision Processes, deterministic online algorithms, and randomized online algorithms. We analyze these solutions' performance by deriving results on their competitive ratios.
Keywords
Cite
@article{arxiv.1501.01720,
title = {Online Algorithms Modeled After Mousehunt},
author = {Jeffrey Ling and Kai Xiao and Dai Yang},
journal= {arXiv preprint arXiv:1501.01720},
year = {2015}
}
Comments
14 pages, 2 figures