Partially observable Markov decision processes (POMDPs) have been widely...
When deploying classifiers in the real world, users expect them to respo...
Probabilistic model checking can provide formal guarantees on the behavi...
Probabilistic model checking is a technique for formal automated reasoni...
Controllers for dynamical systems that operate in safety-critical settin...
Stochastic games are a convenient formalism for modelling systems that
c...
Network systems often contain vulnerabilities that remain unfixed in a
n...
Markov decision processes (MDPs) are formal models commonly used in
sequ...
Game-theoretic techniques and equilibria analysis facilitate the design ...
Deep reinforcement learning is an increasingly popular technique for
syn...
Design and control of autonomous systems that operate in uncertain or
ad...
Controllers for autonomous systems that operate in safety-critical setti...
Multi-objective controller synthesis concerns the problem of computing a...
Automated verification techniques for stochastic games allow formal reas...
Concurrent stochastic games (CSGs) are an ideal formalism for modelling
...
Deep reinforcement learning has been successfully applied to many contro...
Failure Mode Reasoning (FMR) is a novel approach for analyzing failure i...
Quantitative verification techniques have been developed for the formal
...
Probabilistic model checking for stochastic games enables formal verific...
We propose novel techniques for task allocation and planning in multi-ro...