arXiv · 1710.10294
Permissive Finite-State Controllers of POMDPs using Parameter Synthesis
Abstract
We study finite-state controllers (FSCs) for partially observable Markov decision processes (POMDPs) that are provably correct with respect to given specifications. The key insight is that computing (randomised) FSCs on POMDPs is equivalent to - and computationally as hard as - synthesis for parametric Markov chains (pMCs). This correspondence allows to use tools for parameter synthesis in pMCs to compute correct-by-construction FSCs on POMDPs for a variety of specifications. Our experimental evaluation shows comparable performance to well-known POMDP solvers.
Explore related subjects
Keep this discovery
Sebastian Junges, Nils Jansen, Ralf Wimmer, Tim Quatmann, Leonore Winterer, Joost-Pieter Katoen, Bernd Becker. 2017-10-24. Permissive Finite-State Controllers of POMDPs using Parameter Synthesis. https://arxiv.org/abs/1710.10294
Cite the original work for its findings. Save a collection to share your selection of sources.