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 NP ∩ coNP which are not known to be in P. 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
AbstractThe theory of graph games with ω-regular winning conditions is the foundation for modeling a...
Stochastic games provide a versatile model for reactive systems that are affected by random events. ...
AbstractWe present a new algorithm for polynomial time learning of optimal behavior in single-contro...
The optimal value computation for turned-based stochastic games with reachability objectives, also k...
A simple stochastic game (SSG) is a game defined on a directed multigraph and played between players...
AbstractWe present new algorithms for determining optimal strategies for two-player games with proba...
Simple stochastic games are two-player zero-sum stochastic games withturn-based moves, perfect infor...
AbstractThe study of simple stochastic games (SSGs) was initiated by Condon for analyzing the comput...
We examine the problem of finding optimal strategies in simple stochastic games, and the equivalent ...
International audienceWe present a generic strategy improvement algorithm (GSIA) to find an optimal ...
International audienceWe present a new algorithm for solving Simple Stochastic Games (SSGs), which i...
In this paper new algorithms for finding optimal values and strategies inturn-based stochastic games...
We survey a number of algorithms for the simple stochastic game problem, which is to determine the w...
The theory of graph games with ω-regular winning conditions is the foundation for modeling and synth...
We consider perfect-information reachability stochastic games for 2 players on infinite graphs. We i...
AbstractThe theory of graph games with ω-regular winning conditions is the foundation for modeling a...
Stochastic games provide a versatile model for reactive systems that are affected by random events. ...
AbstractWe present a new algorithm for polynomial time learning of optimal behavior in single-contro...
The optimal value computation for turned-based stochastic games with reachability objectives, also k...
A simple stochastic game (SSG) is a game defined on a directed multigraph and played between players...
AbstractWe present new algorithms for determining optimal strategies for two-player games with proba...
Simple stochastic games are two-player zero-sum stochastic games withturn-based moves, perfect infor...
AbstractThe study of simple stochastic games (SSGs) was initiated by Condon for analyzing the comput...
We examine the problem of finding optimal strategies in simple stochastic games, and the equivalent ...
International audienceWe present a generic strategy improvement algorithm (GSIA) to find an optimal ...
International audienceWe present a new algorithm for solving Simple Stochastic Games (SSGs), which i...
In this paper new algorithms for finding optimal values and strategies inturn-based stochastic games...
We survey a number of algorithms for the simple stochastic game problem, which is to determine the w...
The theory of graph games with ω-regular winning conditions is the foundation for modeling and synth...
We consider perfect-information reachability stochastic games for 2 players on infinite graphs. We i...
AbstractThe theory of graph games with ω-regular winning conditions is the foundation for modeling a...
Stochastic games provide a versatile model for reactive systems that are affected by random events. ...
AbstractWe present a new algorithm for polynomial time learning of optimal behavior in single-contro...