Add to ORKGABSTRACT. We study continuous-time stochastic games with time-bounded reachability objectives. We show that each vertex in such a game has a value (i.e., an equilibrium probability), and we classify the conditions under which optimal strategies exist. Finally, we show how to compute optimal strategies in finite uniform games, and how to compute ε-optimal strategies in finitely-branching games with bounded rates (for finite games, we provide detailed complexity estimations).
A stochastic game is a two-player game played on a graph, where in each state the successor is chose...
Stochastic games provide a versatile model for reactive systems that are affected by random events. ...
Discrete-time stochastic games with a finite number of states have been widely applied to study the ...
We study continuous-time stochastic games with time-bounded reachability objectives. We show that ea...
We define stochastic timed games, which extend two-player timed games with probabilities (following ...
We consider perfect-information reachability stochastic games for 2 players on infinite graphs. We i...
We consider perfect-information reachability stochastic games for 2 players on infinite graphs. We i...
AbstractWe consider concurrent games played on graphs. At every round of a game, each player simulta...
Abstract. We consider two-player zero-sum finite (but infinite-horizon) stochastic games with limiti...
AbstractWe present new algorithms for determining optimal strategies for two-player games with proba...
We study nonzero-sum continuous-time stochastic games, also known as continuous-time Markov games, o...
This paper is about two-player infinite stochastic games with imperfect information. We first study ...
We study countably infinite stochastic 2-player games with reachability objectives. Our results prov...
We give polynomial time algorithms for deciding almost-sure and limit-sure reachability in Branching...
AbstractWe study infinite stochastic games played by two players over a finite state space, with obj...
A stochastic game is a two-player game played on a graph, where in each state the successor is chose...
Stochastic games provide a versatile model for reactive systems that are affected by random events. ...
Discrete-time stochastic games with a finite number of states have been widely applied to study the ...
We study continuous-time stochastic games with time-bounded reachability objectives. We show that ea...
We define stochastic timed games, which extend two-player timed games with probabilities (following ...
We consider perfect-information reachability stochastic games for 2 players on infinite graphs. We i...
We consider perfect-information reachability stochastic games for 2 players on infinite graphs. We i...
AbstractWe consider concurrent games played on graphs. At every round of a game, each player simulta...
Abstract. We consider two-player zero-sum finite (but infinite-horizon) stochastic games with limiti...
AbstractWe present new algorithms for determining optimal strategies for two-player games with proba...
We study nonzero-sum continuous-time stochastic games, also known as continuous-time Markov games, o...
This paper is about two-player infinite stochastic games with imperfect information. We first study ...
We study countably infinite stochastic 2-player games with reachability objectives. Our results prov...
We give polynomial time algorithms for deciding almost-sure and limit-sure reachability in Branching...
AbstractWe study infinite stochastic games played by two players over a finite state space, with obj...
A stochastic game is a two-player game played on a graph, where in each state the successor is chose...
Stochastic games provide a versatile model for reactive systems that are affected by random events. ...
Discrete-time stochastic games with a finite number of states have been widely applied to study the ...