AbstractWe consider a class of infinite-state Markov decision processes generated by stateless pushdown automata. This class corresponds to 112-player games over graphs generated by BPA systems or (equivalently) 1-exit recursive state machines. An extended reachability objective is specified by two sets S and T of safe and terminal stack configurations, where the membership to S and T depends just on the top-of-the-stack symbol. The question is whether there is a suitable strategy such that the probability of hitting a terminal configuration by a path leading only through safe configurations is equal to (or different from) a given x∈{0,1}. We show that the qualitative extended reachability problem is decidable in polynomial time, and that t...
We study countably infinite Markov decision processes with B\"uchi objectives, which ask to visit a ...
Abstract. We study reachability games on recursive timed automata (RTA) that generalize Alur-Dill ti...
We study partially observable Markov decision processes (POMDPs) with objectives used in verificatio...
AbstractWe consider a class of infinite-state Markov decision processes generated by stateless pushd...
We consider a class of infinite-state Markov decision processes generated by stateless pushdown auto...
We consider a class of infinite-state stochastic games generated by stateless pushdown automata (or,...
AbstractWe consider a class of infinite-state stochastic games generated by stateless pushdown autom...
A. We consider a class of infinite-state stochastic games generated by stateless pushdown automata (...
We study the computational complexity of central analysis problems for One-Counter Markov Decision P...
AbstractWe consider concurrent two-player games with reachability objectives. In such games, at each...
Bertrand et al. [1] (LMCS 2019) describe two-player zero-sum games in which one player tries to achi...
International audienceWe consider reachability objectives on an extension of stochastic timed automa...
We define stochastic timed games, which extend two-player timed games with probabilities (following ...
AbstractMany problems in formal verification and program analysis can be formalized as computing win...
Markov decision processes (MDPs) are a standard model for dynamic systems that exhibit both stochast...
We study countably infinite Markov decision processes with B\"uchi objectives, which ask to visit a ...
Abstract. We study reachability games on recursive timed automata (RTA) that generalize Alur-Dill ti...
We study partially observable Markov decision processes (POMDPs) with objectives used in verificatio...
AbstractWe consider a class of infinite-state Markov decision processes generated by stateless pushd...
We consider a class of infinite-state Markov decision processes generated by stateless pushdown auto...
We consider a class of infinite-state stochastic games generated by stateless pushdown automata (or,...
AbstractWe consider a class of infinite-state stochastic games generated by stateless pushdown autom...
A. We consider a class of infinite-state stochastic games generated by stateless pushdown automata (...
We study the computational complexity of central analysis problems for One-Counter Markov Decision P...
AbstractWe consider concurrent two-player games with reachability objectives. In such games, at each...
Bertrand et al. [1] (LMCS 2019) describe two-player zero-sum games in which one player tries to achi...
International audienceWe consider reachability objectives on an extension of stochastic timed automa...
We define stochastic timed games, which extend two-player timed games with probabilities (following ...
AbstractMany problems in formal verification and program analysis can be formalized as computing win...
Markov decision processes (MDPs) are a standard model for dynamic systems that exhibit both stochast...
We study countably infinite Markov decision processes with B\"uchi objectives, which ask to visit a ...
Abstract. We study reachability games on recursive timed automata (RTA) that generalize Alur-Dill ti...
We study partially observable Markov decision processes (POMDPs) with objectives used in verificatio...