activity
20122026
most citedDeciding Probabilistic Automata Weak Bisimulation in Polynomial Time

6 citations · 17 across the 16 of their papers we have counts for

collaborators

17 papers

cs.CR2026

Synthesizing Probabilistic Saturating Counters with Differentially Private Formal Guarantees

Zhiming Chi, Lutan Zhao, Depeng Liu +8

Branch predictors improve instruction-level parallelism in modern processors and are commonly modeled using saturating counters. However, classical saturating counters are determin…

cs.AI2026

PAC Approximation and DIRECT Optimization for Parametric Markov Models

Zhiming Chi, Ying Liu, Andrea Turrini +2

In this paper, we consider the parameter synthesis and optimization problem for parametric Markov decision processes (pMDPs), the extension of classical MDPs where exact probabilit…

cs.RO2026

Resource-Constrained Robotic Planning in the face of Mixed Uncertainty

Yihao Yin, Pian Yu, Andrea Turrini +3

Robots operate under significant uncertainty, from quantifiable noise to unquantifiable unknowns, and must account for strict operational constraints, such as limited resources. In…

cs.SE2025

Efficient Decomposition Identification of Deterministic Finite Automata from Examples

Junjie Meng, Jie An, Yong Li +4

The identification of deterministic finite automata (DFAs) from labeled examples is a cornerstone of automata learning, yet traditional methods focus on learning monolithic DFAs, w…

cs.LO2023★ 1 cited

Scenario Approach for Parametric Markov Models

Ying Liu, Andrea Turrini, Moritz Hahn +2

In this paper, we propose an approximating framework for analyzing parametric Markov models. Instead of computing complex rational functions encoding the reachability probability a…

cs.LO2023

A Symbolic Algorithm for the Case-Split Rule in Solving Word Constraints with Extensions (Technical Report)

Yu-Fang Chen, Vojtěch Havlena, Ondřej Lengál +1

Case split is a core proof rule in current decision procedures for the theory of string constraints. Its use is the primary cause of the state space explosion in string constraint…

cs.FL2023★ 1 cited

Modular Mix-and-Match Complementation of Büchi Automata (Technical Report)

Vojtěch Havlena, Ondřej Lengál, Yong Li +2

Complementation of nondeterministic Büchi automata (BAs) is an important problem in automata theory with numerous applications in formal verification, such as termination analysis…

cs.FL2022

Divide-and-Conquer Determinization of Büchi Automata based on SCC Decomposition

Yong Li, Andrea Turrini, Weizhi Feng +2

The determinization of a nondeterministic Büchi automaton (NBA) is a fundamental construction of automata theory, with applications to probabilistic verification and reactive synth…

cs.FL2021

On the Power of Finite Ambiguity in Büchi Complementation

Weizhi Feng, Yong Li, Andrea Turrini +2

In this work, we exploit the power of \emph{finite ambiguity} for the complementation problem of Büchi automata by using reduced run directed acyclic graphs (DAGs) over infinite wo…

cs.FL2020★ 1 cited

Proving Non-Inclusion of Büchi Automata based on Monte Carlo Sampling

Yong Li, Andrea Turrini, Xuechao Sun +1

The search for a proof of correctness and the search for counterexamples (bugs) are complementary aspects of verification. In order to maximize the practical use of verification to…

quant-ph2019★ 1 cited

Model Checking Applied to Quantum Physics

Ji Guan, Yuan Feng, Andrea Turrini +1

Model checking has been successfully applied to verification of computer hardware and software, communication systems and even biological systems. In this paper, we further push th…

eess.SY2017

Multi-objective Robust Strategy Synthesis for Interval Markov Decision Processes

Ernst Moritz Hahn, Vahid Hashemi, Holger Hermanns +2

Interval Markov decision processes (IMDPs) generalise classical MDPs by having interval-valued transition probabilities. They provide a powerful modelling tool for probabilistic sy…

cs.LO2016★ 2 cited

Compositional Reasoning for Interval Markov Decision Processes

Vahid Hashemi, Holger Hermanns, Andrea Turrini

Model checking probabilistic CTL properties of Markov decision processes with convex uncertainties has been recently investigated by Puggelli et al. Such model checking algorithms…

cs.LO2016★ 1 cited

Synthesising Strategy Improvement and Recursive Algorithms for Solving 2.5 Player Parity Games

Ernst Moritz Hahn, Sven Schewe, Andrea Turrini +1

2.5 player parity games combine the challenges posed by 2.5 player reachability games and the qualitative analysis of parity games. These two types of problems are best approached…

cs.LO2016

An Efficient Synthesis Algorithm for Parametric Markov Chains Against Linear Time Properties

Yong Li, Wanwei Liu, Andrea Turrini +2

In this paper, we propose an efficient algorithm for the parameter synthesis of PLTL formulas with respect to parametric Markov chains. The PLTL formula is translated to an almost…

cs.FL2014★ 4 cited

Cost Preserving Bisimulations for Probabilistic Automata

Andrea Turrini, Holger Hermanns

Probabilistic automata constitute a versatile and elegant model for concurrent probabilistic systems. They are equipped with a compositional theory supporting abstraction, enabled…

cs.FL2012★ 6 cited

Deciding Probabilistic Automata Weak Bisimulation in Polynomial Time

Holger Hermanns, Andrea Turrini

Deciding in an efficient way weak probabilistic bisimulation in the context of Probabilistic Automata is an open problem for about a decade. In this work we close this problem by p…