5 papers · 1 filter
Hyper-Minimization for Deterministic Register Automata
Yong Li, Qiyi Tang, Di-De Yen
We investigate hyper-minimization for deterministic register automata (DRAs). We begin by introducing DRA counterparts of classical notions from deterministic finite automata. Buil…
Good-for-MDP State Reduction for Stochastic LTL Planning
Christoph Weinhuber, Giuseppe De Giacomo, Yong Li +2
We study stochastic planning problems in Markov Decision Processes (MDPs) with goals specified in Linear Temporal Logic (LTL). The state-of-the-art approach transforms LTL formulas…
Efficient Learning of Weak Deterministic Büchi Automata
Mona Alluwayma, Yong Li, Sven Schewe +1
We present an efficient Angluin-style learning algorithm for weak deterministic Büchi automata (wDBAs). Different to ordinary deterministic Büchi and co-Büchi automata, wDBAs have…
Resolving Nondeterminism by Chance
Soumyajit Paul, David Purser, Sven Schewe +3
History-deterministic automata are those in which nondeterministic choices can be correctly resolved stepwise: there is a strategy to select a continuation of a run given the next…
Minimising the Probabilistic Bisimilarity Distance
Stefan Kiefer, Qiyi Tang
A labelled Markov decision process (MDP) is a labelled Markov chain with nondeterminism; i.e., together with a strategy a labelled MDP induces a labelled Markov chain. The model is…