English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We study finite-state controllers (FSCs) for partially observable Markovdecision processes (POMDPs) that are provably correct with respect to givenspecifications. The key insight is that computing (randomised) FSCs on POMDPsis equivalent to - and computationally as hard as - synthesis for parametricMarkov chains (pMCs). This correspondence allows to use tools for parametersynthesis in pMCs to compute correct-by-construction FSCs on POMDPs for avariety of specifications. Our experimental evaluation shows comparableperformance to well-known POMDP solvers.

Permissive Finite-State Controllers of POMDPs using Parameter Synthesis