Qualitative reachability in stochastic BPA games

  • Authors:
  • Tomáš Brázdil;Václav Broek;Antonín Kučera;Jan Obdrálek

  • Affiliations:
  • Faculty of Informatics, Masaryk University, Botanická 68a, 60200 Brno, Czech Republic;LFCS, School of Informatics, University of Edinburgh, 10 Crichton Street, Edinburgh EH8 9AB, Scotland, United Kingdom;Faculty of Informatics, Masaryk University, Botanická 68a, 60200 Brno, Czech Republic;Faculty of Informatics, Masaryk University, Botanická 68a, 60200 Brno, Czech Republic

  • Venue:
  • Information and Computation
  • Year:
  • 2011

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Abstract

We consider a class of infinite-state stochastic games generated by stateless pushdown automata (or, equivalently, 1-exit recursive state machines), where the winning objective is specified by a regular set of target configurations and a qualitative probability constraint '0' or '=1'. The goal of one player is to maximize the probability of reaching the target set so that the constraint is satisfied, while the other player aims at the opposite. We show that the winner in such games can be determined in P for the '0' constraint, and in NP@?co-NP for the '=1' constraint. Further, we prove that the winning regions for both players are regular, and we design algorithms which compute the associated finite-state automata. Finally, we show that winning strategies can be synthesized effectively.