activity
20152026
most citedThe Target Discounted-Sum Problem

27 citations · 28 across the 7 of their papers we have counts for

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12 papers · 1 filter

cs.FL2026

Learning Tree Automata with Term Rewriting

Jakub Kopystiański, Jan Otop

We present an extension of the Angluin-style learning algorithm for tree automata that incorporates deductive inference. The learning algorithm is provided with a term rewriting sy…

cs.FL202527 cited

The Target Discounted-Sum Problem

Udi Boker, Thomas A. Henzinger, Jan Otop

The target discounted-sum problem is the following: Given a rational discount factor and three rational values , and , does there exist a finite or an infinite sequ…

cs.FL2025

Active Automata Learning with Advice

Michał Fica, Jan Otop

We present an extended automata learning framework that combines active automata learning with deductive inference. The learning algorithm asks membership and equivalence queries a…

cs.FL2020

Multi-dimensional Long-Run Average Problems for Vector Addition Systems with States

Krishnendu Chatterjee, Thomas A. Henzinger, Jan Otop

A vector addition system with states (VASS) consists of a finite set of states and counters. A transition changes the current state to the next state, and every counter is either i…

cs.FL2019

Non-deterministic weighted automata evaluated over Markov chains

Jakub Michaliszyn, Jan Otop

We present the first study of non-deterministic weighted automata under probabilistic semantics. In this semantics words are random events, generated by a Markov chain, and functio…

cs.FL2019

Approximate Learning of Limit-Average Automata

Jakub Michaliszyn, Jan Otop

Limit-average automata are weighted automata on infinite words that use average to aggregate the weights seen in infinite runs. We study approximate learning problems for limit-ave…