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PRISM-games: A model checker for stochastic multi-player games
We present PRISM-games, a model checker for stochastic multi-player games, which
supports modelling, automated verification and strategy synthesis for probabilistic systems …
supports modelling, automated verification and strategy synthesis for probabilistic systems …
Run-time optimization for learned controllers through quantitative games
A controller is a device that interacts with a plant. At each time point, it reads the plant's state
and issues commands with the goal that the plant operates optimally. Constructing optimal …
and issues commands with the goal that the plant operates optimally. Constructing optimal …
On stochastic games with multiple objectives
We study two-player stochastic games, where the goal of one player is to satisfy a formula
given as a positive boolean combination of expected total reward objectives and the …
given as a positive boolean combination of expected total reward objectives and the …
[HTML][HTML] Quantitative verification and strategy synthesis for stochastic games
Abstract Design and control of computer systems that operate in uncertain, competitive or
adversarial, environments can be facilitated by formal modelling and analysis. In this paper …
adversarial, environments can be facilitated by formal modelling and analysis. In this paper …
Synthesis for multi-objective stochastic games: An application to autonomous urban driving
We study strategy synthesis for stochastic two-player games with multiple objectives
expressed as a conjunction of LTL and expected total reward goals. For stop** games, the …
expressed as a conjunction of LTL and expected total reward goals. For stop** games, the …
Arena-independent finite-memory determinacy in stochastic games
We study stochastic zero-sum games on graphs, which are prevalent tools to model decision-
making in presence of an antagonistic opponent in a random environment. In this setting, an …
making in presence of an antagonistic opponent in a random environment. In this setting, an …
On the complexity of model checking interval-valued discrete time Markov chains
We investigate the complexity of model checking (finite) interval-valued discrete time Markov
chains, that is, discrete time Markov chains where each transition is associated with an …
chains, that is, discrete time Markov chains where each transition is associated with an …
Stochastic games for user journeys
Industry is shifting towards service-based business models, for which user satisfaction is
crucial. User satisfaction can be analyzed with user journeys, which model services from the …
crucial. User satisfaction can be analyzed with user journeys, which model services from the …
[HTML][HTML] Compositional strategy synthesis for stochastic games with multiple objectives
Abstract Design of autonomous systems is facilitated by automatic synthesis of controllers
from formal models and specifications. We focus on stochastic games, which can model …
from formal models and specifications. We focus on stochastic games, which can model …
Automatic verification of competitive stochastic systems
A Simaitis - 2014 - ora.ox.ac.uk
In this thesis we present a framework for automatic formal analysis of competitive stochastic
systems, such as sensor networks, decentralised resource management schemes or …
systems, such as sensor networks, decentralised resource management schemes or …