activity
20212026
collaborators

6 papers

cs.FL2026

Reachability in Fixed-Dimensional Continuous VASS

Michal Ajdarów, A. R. Balasubramanian, Łukasz Orlikowski

Vector Addition System with States (VASS) are a ubiquitous model of infinite-state systems consisting of a set of non-negative counters which can be incremented and decremented. It…

cs.GT2025

Taming Infinity one Chunk at a Time: Concisely Represented Strategies in One-Counter MDPs

Michal Ajdarów, James C. A. Main, Petr Novotný +1

Markov decision processes (MDPs) are a canonical model to reason about decision making within a stochastic environment. We study a fundamental class of infinite MDPs: one-counter M…

cs.FL2025

Efficient Analysis of Polynomial Asymptotic Estimates for VASS MDPs

Michal Ajdarów

Markov decision process over vector addition system with states (VASS MDP) is a finite state model combining non-deterministic and probabilistic behavior, augmented with non-negati…

cs.FL2023

Asymptotic Complexity Estimates for Probabilistic Programs and their VASS Abstractions

Michal Ajdarów, Antonín Kučera

The standard approach to analyzing the asymptotic complexity of probabilistic programs is based on studying the asymptotic growth of certain expected values (such as the expected t…

cs.AI2022

Shielding in Resource-Constrained Goal POMDPs

Michal Ajdarów, Šimon Brlej, Petr Novotný

We consider partially observable Markov decision processes (POMDPs) modeling an agent that needs a supply of a certain resource (e.g., electricity stored in batteries) to operate c…

cs.LO2021

Deciding Polynomial Termination Complexity for VASS Programs

Michal Ajdarów, Antonín Kučera

We show that for every fixed , the problem whether the termination/counter complexity of a given demonic VASS is , , and is coNP-com…