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20092026
most citedFoundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf restraining specifications

18 citations · 38 across the 14 of their papers we have counts for

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7 papers · 1 filter

cs.AI2026

Incremental LTLf Synthesis

Giuseppe De Giacomo, Yves Lespérance, Gianmarco Parretti +2

In this paper, we study incremental LTLf synthesis -- a form of reactive synthesis where the goals are given incrementally while in execution. In other words, the protagonist agent…

cs.AI2022★ 1 cited

Mimicking Behaviors in Separated Domains

Giuseppe De Giacomo, Dror Fried, Fabio Patrizi +1

Devising a strategy to make a system mimicking behaviors from another system is a problem that naturally arises in many areas of Computer Science. In this work, we interpret this p…

cs.AI2022

ASP-Based Declarative Process Mining (Extended Abstract)

Francesco Chiariello, Fabrizio Maria Maggi, Fabio Patrizi

We propose Answer Set Programming (ASP) as an approach for modeling and solving problems from the area of Declarative Process Mining (DPM). We consider here three classical problem…

cs.AI2021

Monitoring Hybrid Process Specifications with Conflict Management: The Automata-theoretic Approach

Anti Alman, Fabrizio Maria Maggi, Marco Montali +2

Business process monitoring approaches have thus far mainly focused on monitoring the execution of a process with respect to a single process model. However, in some cases it is ne…

cs.AI2018★ 1 cited

Situation Calculus for Synthesis of Manufacturing Controllers

Giuseppe De Giacomo, Brian Logan, Paolo Felli +2

Manufacturing is transitioning from a mass production model to a manufacturing as a service model in which manufacturing facilities 'bid' to produce products. To decide whether to…

cs.AI2017★ 2 cited

Specifying Non-Markovian Rewards in MDPs Using LDL on Finite Traces (Preliminary Version)

Ronen Brafman, Giuseppe De Giacomo, Fabio Patrizi

In Markov Decision Processes (MDPs), the reward obtained in a state depends on the properties of the last state and action. This state dependency makes it difficult to reward more…

cs.AI2015

Bounded Situation Calculus Action Theories

Giuseppe De Giacomo, Yves Lespérance, Fabio Patrizi

In this paper, we investigate bounded action theories in the situation calculus. A bounded action theory is one which entails that, in every situation, the number of object tuples…