Stochastic Mean Payoff Games: Smoothed Analysis and Approximation Schemes

Endre Boros, Khaled M. Elbassioni, Mahmoud Fouz, Vladimir Gurvich, Kazuhisa Makino, Bodo Manthey. Stochastic Mean Payoff Games: Smoothed Analysis and Approximation Schemes. In Luca Aceto, Monika Henzinger, Jiri Sgall, editors, Automata, Languages and Programming - 38th International Colloquium, ICALP 2011, Zurich, Switzerland, July 4-8, 2011, Proceedings, Part I. Volume 6755 of Lecture Notes in Computer Science, pages 147-158, Springer, 2011. [doi]

@inproceedings{BorosEFGMM11,
  title = {Stochastic Mean Payoff Games: Smoothed Analysis and Approximation Schemes},
  author = {Endre Boros and Khaled M. Elbassioni and Mahmoud Fouz and Vladimir Gurvich and Kazuhisa Makino and Bodo Manthey},
  year = {2011},
  doi = {10.1007/978-3-642-22006-7_13},
  url = {http://dx.doi.org/10.1007/978-3-642-22006-7_13},
  tags = {analysis},
  researchr = {https://researchr.org/publication/BorosEFGMM11},
  cites = {0},
  citedby = {0},
  pages = {147-158},
  booktitle = {Automata, Languages and Programming - 38th International Colloquium, ICALP 2011, Zurich, Switzerland, July 4-8, 2011, Proceedings, Part I},
  editor = {Luca Aceto and Monika Henzinger and Jiri Sgall},
  volume = {6755},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-22005-0},
}