Alexander Bork

Multi-Cost-Bounded Reachability Analysis of POMDPs

We consider multi-dimensional cost-bounded reachability probability objectives for partially observable Markov decision processes (POMDPs). The goal is to compute the maximal probability to reach a set of target states while simultaneously satisfying specified bounds on incurred costs. Such objectiv