English

Finding Optimal Strategies of Almost Acyclic Simple Stochatic Games

Computational Complexity 2014-08-10 v1 Data Structures and Algorithms Computer Science and Game Theory

Abstract

The optimal value computation for turned-based stochastic games with reachability objectives, also known as simple stochastic games, is one of the few problems in NPcoNPNP \cap coNP which are not known to be in PP. However, there are some cases where these games can be easily solved, as for instance when the underlying graph is acyclic. In this work, we try to extend this tractability to several classes of games that can be thought as "almost" acyclic. We give some fixed-parameter tractable or polynomial algorithms in terms of different parameters such as the number of cycles or the size of the minimal feedback vertex set.

Keywords

Cite

@article{arxiv.1402.0471,
  title  = {Finding Optimal Strategies of Almost Acyclic Simple Stochatic Games},
  author = {David Auger and Pierre COUCHENEY and Yann Strozecki},
  journal= {arXiv preprint arXiv:1402.0471},
  year   = {2014}
}