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20172022
most citedMarkov Abstractions for PAC Reinforcement Learning in Non-Markov Decision Processes

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

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cs.AI20211 cited

Recognizing LTLf/PLTLf Goals in Fully Observable Non-Deterministic Domain Models

Ramon Fraga Pereira, Francesco Fuggitti, Giuseppe De Giacomo

Goal Recognition is the task of discerning the correct intended goal that an agent aims to achieve, given a set of possible goals, a domain model, and a sequence of observations as…

cs.AI2019

Stochastic Fairness and Language-Theoretic Fairness in Planning on Nondeterministic Domains

Benjamin Aminof, Giuseppe De Giacomo, Sasha Rubin

We address two central notions of fairness in the literature of planning on nondeterministic fully observable domains. The first, which we call stochastic fairness, is classical, a…

cs.AI2019

LTLf Synthesis with Fairness and Stability Assumptions

Shufang Zhu, Giuseppe De Giacomo, Geguang Pu +1

In synthesis, assumptions are constraints on the environment that rule out certain environment behaviors. A key observation here is that even if we consider systems with LTLf goals…

cs.AI20191 cited

Generalized Planning: Non-Deterministic Abstractions and Trajectory Constraints

Blai Bonet, Giuseppe De Giacomo, Hector Geffner +1

We study the characterization and computation of general policies for families of problems that share a structure characterized by a common reduction into a single abstract problem…

cs.AI2018

Hybrid Temporal Situation Calculus

Vitaliy Batusov, Giuseppe De Giacomo, Mikhail Soutchanski

The ability to model continuous change in Reiter's temporal situation calculus action theories has attracted a lot of interest. In this paper, we propose a new development of his a…

cs.AI2018

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…